National Library of Energy BETA

Sample records for measurement climate research

  1. Atmospheric Radiation Measurement Climate Research Facility ...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Radiation Measurement Climate Research Facility Argonne scientists study ... for climate research to the Atmospheric Radiation Measurement (ARM) Climate Research ...

  2. Radiation Measurement (ARM) Climate Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    overview Sponsored by the U.S. Department of Energy's (DOE) Office of Science, the Atmospheric Radiation Measurement (ARM) Climate Research Facility was established in 1990 to improve global climate models by increasing understanding of clouds and radiative feedbacks. Through the ARM Facility, DOE funded the development of highly instrumented research sites at strategic locations around the world: the Southern Great Plains (SGP), Tropical Western Pacific (TWP), and North Slope of Alaska (NSA).

  3. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6-001 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly ... DOESC-ARM-16-001 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  4. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-12-001 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  5. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly ... DOESC-ARM-11-008 Atmospheric Radiation Measurement Program Climate Research Facility ...

  6. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly ... DOESC-ARM-10-029 Atmospheric Radiation Measurement Program Climate Research Facility ...

  7. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly ... DOESC-ARM-11-002 Atmospheric Radiation Measurement Program Climate Research Facility ...

  8. Atmospheric Radiation Measurement Climate Research Facility Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-15-069 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  9. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-11-022 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  10. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly ... DOESC-ARM-11-019 Atmospheric Radiation Measurement Program Climate Research Facility ...

  11. Atmospheric Radiation Measurement Program Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-12-007 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  12. Atmospheric Radiation Measurement Climate Research Facility ...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Radiation Measurement Climate Research Facility (ARM) Biological and ... BER Home About Research Facilities User Facilities Atmospheric Radiation Measurement ...

  13. Atmospheric Radiation Measurement (ARM) Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Radiation Measurement (ARM) Climate Research Facility and Atmospheric System Research (ASR) Science and Infrastructure Steering Committee CHARTER June 2012 DISCLAIMER ...

  14. DOE/SC-ARM-020 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    20 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-020 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  15. Style Guide Atmospheric Radiation Measurement (ARM) Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Style Guide Atmospheric Radiation Measurement (ARM) Climate Research Facility March 2013 Style Guide Atmospheric Radiation Measurement Climate Research Facility March 2013 Work ...

  16. Atmospheric Radiation Measurement Climate Research Facility ...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... of Energy (DOE) established the Atmospheric Radiation Measurement (ARM) Program. ... Fiscal Year 2004 Budget Summary and User Statistics Atmospheric Radiation Measurement ...

  17. DOE/SC-ARM-13-013 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-13-013 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  18. DOE/SC-ARM-14-025 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-14-025 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  19. DOE/SC-ARM-15-037 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-15-037 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  20. DOE/SC-ARM-12-021 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-12-021 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  1. DOE/SC-ARM-14-007 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-14-007 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  2. DOE/SC-ARM-15-018 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-15-018 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  3. DOE/SC-ARM-14-019 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-14-019 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  4. DOE/SC-ARM-15-001 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-15-001 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  5. DOE/SC-ARM-14-001 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-14-001 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  6. DOE/SC-ARM-13-007 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-13-007 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  7. DOE/SC-ARM-12-015 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-12-015 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  8. DOE/SC-ARM-13-001 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-13-001 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  9. DOE/SC-ARM-13-020 Atmospheric Radiation Measurement Climate Research...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report ... DOESC-ARM-13-020 Atmospheric Radiation Measurement Climate Research Facility Operations ...

  10. Atmospheric Radiation Measurement Climate Research Facility (ACRF) Annual Report 2008

    SciTech Connect (OSTI)

    LR Roeder

    2008-12-01

    The Importance of Clouds and Radiation for Climate Change: The Earth’s surface temperature is determined by the balance between incoming solar radiation and thermal (or infrared) radiation emitted by the Earth back to space. Changes in atmospheric composition, including greenhouse gases, clouds, and aerosols, can alter this balance and produce significant climate change. Global climate models (GCMs) are the primary tool for quantifying future climate change; however, there remain significant uncertainties in the GCM treatment of clouds, aerosol, and their effects on the Earth’s energy balance. In 1989, the U.S. Department of Energy (DOE) Office of Science created the Atmospheric Radiation Measurement (ARM) Program to address scientific uncertainties related to global climate change, with a specific focus on the crucial role of clouds and their influence on the transfer of radiation in the atmosphere. To reduce these scientific uncertainties, the ARM Program uses a unique twopronged approach: • The ARM Climate Research Facility, a scientific user facility for obtaining long-term measurements of radiative fluxes, cloud and aerosol properties, and related atmospheric characteristics in diverse climate regimes; and • The ARM Science Program, focused on the analysis of ACRF and other data to address climate science issues associated with clouds, aerosols, and radiation, and to improve GCMs. This report provides an overview of each of these components and a sample of achievements for each in fiscal year (FY) 2008.

  11. Atmospheric Radiation Measurement Climate Research Facility Annual Report 2006

    SciTech Connect (OSTI)

    LR Roeder

    2005-11-30

    This annual report describes the purpose and structure of the ARM Climate Research Facility and ARM Science programs and presents key accomplishments in 2006. Noteworthy scientific and infrastructure accomplishments in 2006 include: • Collaborating with the Australian Bureau of Meteorology to lead the Tropical Warm Pool-International Cloud Experiment, a major international field campaign held in Darwin, Australia • Successfully deploying the ARM Mobile Facility in Niger, Africa • Developing the new ARM Aerial Vehicles Program (AVP) to provide airborne measurements • Publishing a new finding on the impacts of aerosols on surface energy budget in polar latitudes • Mitigating a long-standing double-Intertropical Convergence Zone problem in climate models using ARM data and a new cumulus parameterization scheme.

  12. NREL: Climate Neutral Research Campuses - Measure and Evaluate Progress

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    toward a Carbon-Neutral Campus Measure and Evaluate Progress toward a Carbon-Neutral Campus Successful implementation of a climate action plan at your campus involves flexibility and long-term support from your organization's leadership and stakeholders. Above all, it involves measuring and reporting progress toward a specific target. The American College and University Presidents Climate Commitment (ACUPCC) and the Association for the Advancement of Sustainability in Higher Education

  13. Atmospheric Radiation Measurement program climate research facility operations quarterly report.

    SciTech Connect (OSTI)

    Sisterson, D. L.; Decision and Information Sciences

    2006-09-06

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The U.S. Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1-(ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter for the Southern Great Plains (SGP) site is 2,074.80 hours (0.95 x 2,184 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,965.60 hours (0.90 x 2,184), and that for the Tropical Western Pacific (TWP) locale is 1,856.40 hours (0.85 x 2,184). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,074.80 hours (0.95 x 2,184). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 91 days for this quarter) the instruments were operating this quarter. Table 1 shows the accumulated maximum operation time (planned uptime), the actual hours of operation, and the variance (unplanned downtime) for the period April 1 through June 30, 2006, for the fixed and mobile sites. Although the AMF is currently up and running in Niamey, Niger, Africa, the AMF statistics are reported separately and not included in the aggregate average with the fixed sites. The third quarter comprises a total of 2,184 hours. For all fixed sites (especially the TWP locale) and the AMF, the actual data availability (and therefore actual hours of operation) exceeded the individual (and well as aggregate average of the fixed sites) operational goal for the third quarter of fiscal year (FY) 2006.

  14. NREL: Climate Neutral Research Campuses - Campus-Wide Measures Have Greater

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Potential Campus-Wide Measures Have Greater Potential Pursuing climate neutrality on research campuses fits into the bigger picture of addressing the impacts of climate change and fossil-fuel depletion. International scientific bodies addressing climate change are calling for reductions of carbon emissions of 80% by 2050. Because of their size and complexity, research campuses are well positioned to take advantage of campus-wide efficient energy systems. For example, many campuses have

  15. Atmospheric Radiation Measurement Climate Research Facility (ACRF) Annual Report 2007

    SciTech Connect (OSTI)

    LR Roeder

    2007-12-01

    This annual report describes the purpose and structure of the program, and presents key accomplishments in 2007. Notable achievements include: • Successful review of the ACRF as a user facility by the DOE Biological and Environmental Research Advisory Committee. The subcommittee reinforced the importance of the scientific impacts of this facility, and its value for the international research community. • Leadership of the Cloud Land Surface Interaction Campaign. This multi-agency, interdisciplinary field campaign involved enhanced surface instrumentation at the ACRF Southern Great Plains site and, in concert with the Cumulus Humilis Aerosol Processing Study sponsored by the DOE Atmospheric Science Program, coordination of nine aircraft through the ARM Aerial Vehicles Program. • Successful deployment of the ARM Mobile Facility in Germany, including hosting nearly a dozen guest instruments and drawing almost 5000 visitors to the site. • Key advancements in the representation of radiative transfer in weather forecast models from the European Centre for Medium-Range Weather Forecasts. • Development of several new enhanced data sets, ranging from best estimate surface radiation measurements from multiple sensors at all ACRF sites to the extension of time-height cloud occurrence profiles to Niamey, Niger, Africa. • Publication of three research papers in a single issue (February 2007) of the Bulletin of the American Meteorological Society.

  16. Atmospheric Radiation Measurement Climate Research Facility (ACRF Instrumentation Status: New, Current, and Future)

    SciTech Connect (OSTI)

    JW Voyles

    2008-01-30

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following four sections: (1) new instrumentation in the process of being acquired and deployed, (2) existing instrumentation and progress on improvements or upgrades, (3) proposed future instrumentation, and (4) Small Business Innovation Research instrument development.

  17. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    World's premier ground-based observations facility advancing climate change research Feature Tracking Clouds Down Under Tracking Clouds Down Under While penguins and seals are the main inhabitants of Macquarie Island, a remote grassy outcrop which lies about half-way between New Zealand and Antarctica, they will soon be joined by a suite of instruments from the U.S. Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility. These instruments will measure

  18. Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report July 1–September 30, 2012

    SciTech Connect (OSTI)

    Voyles, JW

    2012-10-10

    Individual datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile research sites are collected and routed to the Data Management Facility (DMF) for processing in near-real-time. Instrument and processed data are then delivered approximately daily to the ARM Data Archive, where they are made freely available to the research community. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Data Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  19. Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report October 1–December 31, 2012

    SciTech Connect (OSTI)

    Voyles, JW

    2013-01-11

    Individual datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile research sites are collected and routed to the Data Management Facility (DMF) for processing in near-real-time. Instrument and processed data are then delivered approximately daily to the ARM Data Archive, where they are made freely available to the research community. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Data Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year dating back to 1998.

  20. Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report January 1–March 31, 2012

    SciTech Connect (OSTI)

    Voyles, JW

    2012-04-13

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Data Archive, where they are made available to the research community. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  1. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report July 1 - September 30, 2007

    SciTech Connect (OSTI)

    DL Sisterson

    2007-10-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  2. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report July 1 – September 30, 2006

    SciTech Connect (OSTI)

    DL Sisterson

    2006-10-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998.

  3. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 – June 30, 2006

    SciTech Connect (OSTI)

    DL Sisterson

    2006-07-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year; and (2) site and fiscal year dating back to 1998.

  4. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report October 1 - December 31, 2007

    SciTech Connect (OSTI)

    DL Sisterson

    2008-01-08

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  5. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report July 1 – September 30, 2009

    SciTech Connect (OSTI)

    DL Sisterson

    2009-10-15

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data then are sent approximately daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by 1) individual data stream, site, and month for the current year and 2) site and fiscal year (FY) dating back to 1998.

  6. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report - January 1 - March 31, 2008

    SciTech Connect (OSTI)

    DL Sisterson

    2008-04-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  7. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2008

    SciTech Connect (OSTI)

    DL Sisterson

    2008-06-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  8. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report - July 1 - September 30, 2008

    SciTech Connect (OSTI)

    DL Sisterson

    2008-09-30

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  9. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report - October 1 - December 31, 2008

    SciTech Connect (OSTI)

    DL Sisterson

    2009-01-15

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  10. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report January 1 - March 31, 2009

    SciTech Connect (OSTI)

    DL Sisterson

    2009-03-17

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  11. Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report July 1–September 30, 2011

    SciTech Connect (OSTI)

    Voyles, JW

    2011-10-10

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  12. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2007

    SciTech Connect (OSTI)

    DL Sisterson

    2007-07-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  13. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report: October 1 - December 31, 2010

    SciTech Connect (OSTI)

    Sisterson, DL

    2011-03-02

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  14. Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report October 1–December 31, 2011

    SciTech Connect (OSTI)

    Voyles, JW

    2012-01-09

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  15. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report January 1 – March 31, 2007

    SciTech Connect (OSTI)

    DL Sisterson

    2007-04-01

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  16. Contributions of the Atmospheric Radiation Measurement (ARM) Program and the ARM Climate Research Facility to the U.S. Climate Change Science Program

    SciTech Connect (OSTI)

    SA Edgerton; LR Roeder

    2008-09-30

    The Earth’s surface temperature is determined by the balance between incoming solar radiation and thermal (or infrared) radiation emitted by the Earth back to space. Changes in atmospheric composition, including greenhouse gases, clouds, and aerosols can alter this balance and produce significant climate change. Global climate models (GCMs) are the primary tool for quantifying future climate change; however, there remain significant uncertainties in the GCM treatment of clouds, aerosol, and their effects on the Earth’s energy balance. The 2007 assessment (AR4) by the Intergovernmental Panel on Climate Change (IPCC) reports a substantial range among GCMs in climate sensitivity to greenhouse gas emissions. The largest contributor to this range lies in how different models handle changes in the way clouds absorb or reflect radiative energy in a changing climate (Solomon et al. 2007). In 1989, the U.S. Department of Energy (DOE) Office of Science created the Atmospheric Radiation Measurement (ARM) Program within the Office of Biological and Environmental Research (BER) to address scientific uncertainties related to global climate change, with a specific focus on the crucial role of clouds and their influence on the transfer of radiation in the atmosphere. To address this problem, BER has adopted a unique two-pronged approach: * The ARM Climate Research Facility (ACRF), a scientific user facility for obtaining long-term measurements of radiative fluxes, cloud and aerosol properties, and related atmospheric characteristics in diverse climate regimes. * The ARM Science Program, focused on the analysis of ACRF data to address climate science issues associated with clouds, aerosols, and radiation, and to improve GCMs. This report describes accomplishments of the BER ARM Program toward addressing the primary uncertainties related to climate change prediction as identified by the IPCC.

  17. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report January 1 - March 31, 2005

    SciTech Connect (OSTI)

    DL Sisterson

    2005-03-31

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The United States Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for this second quarter for the Southern Great Plains (SGP) site is 2052 hours (0.95 × 2,160 hours this quarter). The annual OPSMAX for the North Slope Alaska (NSA) site is 1944 hours (0.90 × 2,160), and that for the Tropical Western Pacific (TWP) site is 1836 hours (0.85 × 2,160). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 90 days for this quarter) the instruments were operating this quarter.

  18. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1 - June 30, 2005

    SciTech Connect (OSTI)

    DL Sisterson

    2005-06-30

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The United States Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter for the Southern Great Plains (SGP) site is 2,074.8 hours (0.95 × 2,184 hours this quarter). The annual OPSMAX for the North Slope Alaska (NSA) site is 1,965.6 hours (0.90 × 2,184), and that for the Tropical Western Pacific (TWP) site is 1,856.4 hours (0.85 × 2,184). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,074.8 (0.95 × 2,184). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 91 days for this quarter) the instruments were operating this quarter

  19. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report July 1 – September 30, 2008

    SciTech Connect (OSTI)

    DL Sisterson

    2008-09-30

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the fourth quarter of FY 2008 for the Southern Great Plains (SGP) site is 2,097.60 hours (0.95 ? 2,208 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,987.20 hours (0.90 ? 2,208), and for the Tropical Western Pacific (TWP) locale is 1,876.80 hours (0.85 ? 2,208). The OPSMAX time for the ARM Mobile Facility (AMF) is not reported this quarter because the data have not yet been released from China to the DMF for processing. The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter.

  20. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report October 1 - December 31, 2004

    SciTech Connect (OSTI)

    DL Sisterson

    2004-12-31

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The United States Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The annual OPSMAX time for the Southern Great Plains (SGP) site is 8,322 hours per year (0.95 × 8,760, the number hours in a year, not including leap year). The annual OPSMAX for the North Slope Alaska (NSA) site is 7,884 hours per year (0.90 × 8,760), and that for the Tropical Western Pacific (TWP) site is 7,446 hours per year (0.85 × 8,760). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 365 days per year) the instruments were operating.

  1. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report October 1 - December 31, 2005

    SciTech Connect (OSTI)

    DL Sisterson

    2005-12-31

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The U.S. Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter for the Southern Great Plains (SGP) site is 2,097.6 hours (0.95 × 2,208 hours this quarter). The OPSMAX for the North Slope of Alaska (NSA) locale is 1,987.2 hours (0.90 × 2,208), and that for the Tropical Western Pacific (TWP) locale is 1,876.8 hours (0.85 × 2,208). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,097.6 hours (0.95 × 2,208). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter.

  2. Atmospheric Radiation Measurement program climate research facility operations quarterly report October 1 - December 31, 2008.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2009-01-15

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, they calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The US Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1-(ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the first quarter of FY 2009 for the Southern Great Plains (SGP) site is 2,097.60 hours (0.95 x 2,208 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,987.20 hours (0.90 x 2,208), and for the Tropical Western Pacific (TWP) locale is 1,876.80 hours (0.85 x 2,208). The OPSMAX time for the ARM Mobile Facility (AMF) is not reported this quarter because the data have not yet been released from China to the DMF for processing. The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period October 1-December 31, 2008, for the fixed sites. The AMF has been deployed to China, but the data have not yet been released. The first quarter comprises a total of 2,208 hours. The average exceeded their goal this quarter.

  3. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report January-March 2006

    SciTech Connect (OSTI)

    DL Sisterson

    2006-03-31

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year; and (2) site and fiscal year dating back to 1998. The U.S. Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the second quarter for the Southern Great Plains (SGP) site is 2,052 hours (0.95 × 2,160 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,944 hours (0.90 × 2,160), and that for the Tropical Western Pacific (TWP) locale is 1,836 hours (0.85 × 2,160). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,052 hours (0.95 × 2,160). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 90 days for this quarter) the instruments were operating this quarter.

  4. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report. October 1 - December 31, 2009.

    SciTech Connect (OSTI)

    D. L. Sisterson

    2010-01-12

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 - (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the first quarter of FY 2010 for the North Slope Alaska (NSA) locale is 1,987.20 hours (0.90 x 2,208); for the Southern Great Plains (SGP) site is 2,097.60 hours (0.95 x 2,208); and for the Tropical Western Pacific (TWP) locale is 1,876.8 hours (0.85 x 2,208). The ARM Mobile Facility (AMF) deployment in Graciosa Island, the Azores, Portugal, continues; its OPSMAX time this quarter is 2,097.60 hours (0.95 x 2,208). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are the result of downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter. The Site Access Request System is a web-based database used to track visitors to the fixed and mobile sites, all of which have facilities that can be visited. The NSA locale has the Barrow and Atqasuk sites. The SGP locale has historically had a central facility, 23 extended facilities, 4 boundary facilities, and 3 intermediate facilities. Beginning this quarter, the SGP began a transition to a smaller footprint (150 km x 150 km) by rearranging the original and new instrumentation made available through the American Recovery and Reinvestment Act (ARRA). The central facility and 4 extended facilities will remain, but there will be up to 16 surface new characterization facilities, 4 radar facilities, and 3 profiler facilities sited in the smaller domain. This new configuration will provide observations at scales more appropriate to current and future climate models. The TWP locale has the Manus, Nauru, and Darwin sites. These sites will also have expanded measurement capabilities with the addition of new instrumentation made available through ARRA funds. It is anticipated that the new instrumentation at all the fixed sites will be in place within the next 12 months. The AMF continues its 20-month deployment in Graciosa Island, Azores, Portugal, that started May 1, 2009. The AMF will also have additional observational capabilities within the next 12 months. Users can participate in field experiments at the sites and mobile facility, or they can participate remotely. Therefore, a variety of mechanisms are provided to users to access site information. Users who have immediate (real-time) needs for data access can request a research account on the local site data systems. This access is particularly useful to users for quick decisions in executing time-dependent activities associated with field campaigns at the fixed sites and mobile facility locations. The eight computers for the research accounts are located at the Barrow and Atqasuk sites; the SGP central facility; the TWP Manus, Nauru, and Darwin sites; the AMF; and the DMF at PNNL. However, users are warned that the data provided at the time of collection have not been fully screened for quality and therefore are not considered to be official ACRF data. Hence, these accounts are considered to be part of the facility activities associated with field campaign activities, and users are tracked. In addition, users who visit sites can connect their computer or instrument to an ACRF site data system network, which requires an on-site device account. Remote (off-site) users can also have remote access to any ACRF instrument or computer system at any ACRF site, which requires an off-site device account. These accounts are also managed and tracked.

  5. Atmospheric Radiation Measurement Program Climate Research Facility Operation quarterly report July 1 - September 30, 2010.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2010-10-26

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1-(ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the fourth quarter of FY2010 for the Southern Great Plains (SGP) site is 2097.60 hours (0.95 2208 hours this quarter). The OPSMAX for the North Slope of Alaska (NSA) locale is 1987.20 hours (0.90 2208) and for the Tropical Western Pacific (TWP) locale is 1876.80 hours (0.85 2208). The first ARM Mobile Facility (AMF1) deployment in Graciosa Island, the Azores, Portugal, continues, so the OPSMAX time this quarter is 2097.60 hours (0.95 x 2208). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or datastream. Data availability reported here refers to the average of the individual, continuous datastreams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 92 days for this quarter) that the instruments were operating this quarter. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period July 1-September 30, 2010, for the fixed sites. Because the AMF operates episodically, the AMF statistics are reported separately and not included in the aggregate average with the fixed sites. This fourth quarter comprises a total of 2208 possible hours for the fixed and mobile sites. The average of the fixed sites exceeded our goal this quarter. The Site Access Request System is a web-based database used to track visitors to the fixed and mobile sites, all of which have facilities that can be visited. The NSA locale has the Barrow and Atqasuk sites. The SGP site has historically had a Central Facility, 23 extended facilities, 4 boundary facilities, and 3 intermediate facilities. Beginning in the second quarter of FY2010, the SGP began a transition to a smaller footprint (150 km x 150 km) by rearranging the original instrumentation and new instrumentation made available through the American Recovery and Reinvestment Act of 2009 (ARRA). The Central Facility and 4 extended facilities will remain, but there will be up to 12 new surface characterization facilities, 4 radar facilities, and 3 profiler facilities sited in the smaller domain. This new configuration will provide observations at scales more appropriate to current and future climate models. The transition to the smaller footprint is ongoing through this quarter. The TWP locale has the Manus, Nauru, and Darwin sites. These sites will also have expanded measurement capabilities with the addition of new instrumentation made available through ARRA funds. It is anticipated that the new instrumentation at all the fixed sites will be in place by the end of calendar year 2011. AMF1 continues its 20-month deployment in Graciosa Island, the Azores, Portugal, that began on May 1, 2009. The AMF will also have additional observational capabilities by the end of 2011. The second ARM Mobile Facility (AMF2) was deployed this quarter to Steamboat Springs, Colorado, in support of the Storm Peak Lab Cloud Property Validation Experiment (STORMVEX). The first field deployment of the second ARM Mobile Facility will be used to validate ARM-developed algorithms that convert the remote sensing measurements to cloud properties for liquid and mixed phase clouds. Although AMF2 is being set up this quarter, the official start date of the field campaign is not until November 1, 2010. This quarterly report provides the cumulative numbers of scientific user accounts by site for the period October 1, 2009-September 30, 2010.

  6. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report. October 1 - December 31, 2010.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2011-02-01

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near-real time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 - (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the first quarter of FY2010 for the Southern Great Plains (SGP) site is 2097.60 hours (0.95 x 2208 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1987.20 hours (0.90 x 2208) and for the Tropical Western Pacific (TWP) locale is 1876.80 hours (0.85 x 2208). The first ARM Mobile Facility (AMF1) deployment in Graciosa Island, the Azores, Portugal, continued through this quarter, so the OPSMAX time this quarter is 2097.60 hours (0.95 x 2208). The second ARM Mobile Facility (AMF2) began deployment this quarter to Steamboat Springs, Colorado. The experiment officially began November 15, but most of the instruments were up and running by November 1. Therefore, the OPSMAX time for the AMF2 was 1390.80 hours (.95 x 1464 hours) for November and December (61 days). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or datastream. Data availability reported here refers to the average of the individual, continuous datastreams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter. Summary. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period October 1-December 31, 2010, for the fixed sites. Because the AMFs operate episodically, the AMF statistics are reported separately and not included in the aggregate average with the fixed sites. This first quarter comprises a total of 2,208 possible hours for the fixed sites and the AMF1 and 1,464 possible hours for the AMF2. The average of the fixed sites exceeded our goal this quarter. The AMF1 has essentially completed its mission and is shutting down to pack up for its next deployment to India. Although all the raw data from the operational instruments are in the Archive for the AMF2, only the processed data are tabulated. Approximately half of the AMF2 instruments have data that was fully processed, resulting in the 46% of all possible data made available to users through the Archive for this first quarter. Typically, raw data is not made available to users unless specifically requested.

  7. Atmospheric Radiation Measurement program climate research facility operations quarterly report July 1 - Sep. 30, 2009.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2009-10-15

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near-real time. Raw and processed data are then sent approximately daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 - (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the fourth quarter of FY 2009 for the Southern Great Plains (SGP) site is 2,097.60 hours (0.95 ? 2,208 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,987.20 hours (0.90 ? 2,208) and for the Tropical Western Pacific (TWP) locale is 1,876.8 hours (0.85 ? 2,208). The ARM Mobile Facility (AMF) was officially operational May 1 in Graciosa Island, the Azores, Portugal, so the OPSMAX time this quarter is 2,097.60 hours (0.95 x 2,208). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive result from downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period July 1 - September 30, 2009, for the fixed sites. Because the AMF operates episodically, the AMF statistics are reported separately and not included in the aggregate average with the fixed sites. The fourth quarter comprises a total of 2,208 hours for the fixed and mobile sites. The average of the fixed sites well exceeded our goal this quarter. The AMF data statistic requires explanation. Since the AMF radar data ingest software is being modified, the data are being stored in the DMF for data processing. Hence, the data are not at the Archive; they are anticipated to become available by the next report.

  8. Atmospheric Radiation Measurement program climate research facility operations quarterly report January 1 - March 31, 2009.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2009-04-23

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 - (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the second quarter of FY 2009 for the Southern Great Plains (SGP) site is 2,052.00 hours (0.95 x 2,160 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,944.00 hours (0.90 x 2,160), and for the Tropical Western Pacific (TWP) locale is 1,836.00 hours (0.85 x 2,160). The OPSMAX time for the ARM Mobile Facility (AMF) is not reported this quarter because not all of the metadata have been acquired that are used to generate this metric. The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 90 days for this quarter) the instruments were operating this quarter. Summary. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period January 1 - March 31, 2009, for the fixed sites. The AMF has completed its mission in China but not all of the data can be released to the public at the time of this report. The second quarter comprises a total of 2,160 hours. The average exceeded our goal this quarter.

  9. Atmospheric Radiation Measurement program climate research facility operations quarterly report April 1 - June 30, 2007.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2007-07-26

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 - (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter of FY 2007 for the Southern Great Plains (SGP) site is 2,074.8 hours (0.95 x 2,184 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) locale is 1,965.6 hours (0.90 x 2,184), and that for the Tropical Western Pacific (TWP) locale is 1,856.4 hours (0.85 x 2,184). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,074.8 hours (0.95 x 2,184). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 91 days for this quarter) the instruments were operating this quarter. Table 1 shows the accumulated maximum operation time (planned uptime), the actual hours of operation, and the variance (unplanned downtime) for the period April 1 through June 30, 2007, for the fixed sites only. The AMF has been deployed to Germany and is operational this quarter. The third quarter comprises a total of 2,184 hours. Although the average exceeded our goal this quarter, there were cash flow issues resulting from Continuing Resolution early in the period that did not allow for timely instrument repairs that kept our statistics lower than past quarters at all sites. The low NSA numbers resulted from missing MFRSR data this spring that appears to be recoverable but not available at the Archive at the time of this report.

  10. Atmospheric Radiation Measurement program climate research facilities quarterly report April 1 - June 30, 2009.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2009-07-14

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near-real time. Raw and processed data are then sent approximately daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 - (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter of FY 2009 for the Southern Great Plains (SGP) site is 2,074.80 hours (0.95 x 2,184 hours this quarter); for the North Slope Alaska (NSA) locale it is 1,965.60 hours (0.90 x 2,184); and for the Tropical Western Pacific (TWP) locale it is 1,856.40 hours (0.85 x 2,184). The ARM Mobile Facility (AMF) was officially operational May 1 in Graciosa Island, the Azores, Portugal, so the OPSMAX time this quarter is 1390.80 hours (0.95 x 1464). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percentage of data in the Archive represents the average percentage of the time (24 hours per day, 91 days for this quarter) the instruments were operating this quarter. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for April 1 - June 30, 2009, for the fixed sites. Because the AMF operates episodically, the AMF statistics are reported separately and are not included in the aggregate average with the fixed sites. The AMF statistics for this reporting period were not available at the time of this report. The third quarter comprises a total of 2,184 hours for the fixed sites. The average well exceeded our goal this quarter.

  11. Sandia Energy - Arctic Climate Measurements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    user facility in 2003, ARM Climate Research Facility sites provide the national and international research community with climate data from three permanent...

  12. Atmospheric Radiation Measurement program climate research facility operations quarterly report July 1 - September 30, 2008.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2008-10-08

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period July 1 - September 30, 2008, for the fixed sites. The AMF has been deployed to China, but the data have not yet been released. The fourth quarter comprises a total of 2,208 hours. The average exceeded our goal this quarter. The Site Access Request System is a web-based database used to track visitors to the fixed and mobile sites, all of which have facilities that can be visited. The NSA locale has the Barrow and Atqasuk sites. The SGP site has a central facility, 23 extended facilities, 4 boundary facilities, and 3 intermediate facilities. The TWP locale has the Manus, Nauru, and Darwin sites. HFE represents the AMF statistics for the Shouxian, China, deployment in 2008. FKB represents the AMF statistics for the Haselbach, Germany, past deployment in 2007. NIM represents the AMF statistics for the Niamey, Niger, Africa, past deployment in 2006. PYE represents just the AMF Archive statistics for the Point Reyes, California, past deployment in 2005. In addition, users who do not want to wait for data to be provided through the ACRF Archive can request a research account on the local site data system. The seven computers for the research accounts are located at the Barrow and Atqasuk sites; the SGP central facility; the TWP Manus, Nauru, and Darwin sites; and the DMF at PNNL. In addition, the ACRF serves as a data repository for a long-term Arctic atmospheric observatory in Eureka, Canada (80 degrees 05 minutes N, 86 degrees 43 minutes W) as part of the multiagency Study of Environmental Arctic Change (SEARCH) Program. NOAA began providing instruments for the site in 2005, and currently cloud radar data are available. The intent of the site is to monitor the important components of the Arctic atmosphere, including clouds, aerosols, atmospheric radiation, and local-scale atmospheric dynamics. Because of the similarity of ACRF NSA data streams and the important synergy that can be formed between a network of Arctic atmospheric observations, much of the SEARCH observatory data are archived in the ARM archive. Instruments will be added to the site over time. For more information, please visit http://www.db.arm.gov/data. The designation for the archived Eureka data is YEU and is now included in the ACRF user metrics. This quarterly report provides the cumulative numbers of visitors and user accounts by site for the period October 1, 2007 - September 30, 2008. Table 2 shows the summary of cumulative users for the period October 1, 2007 - September 30, 2008. For the fourth quarter of FY 2008, the overall number of users is down substantially (about 30%) from last quarter. Most of this decrease resulted from a reduction in the ACRF Infrastructure users (e.g., site visits, research accounts, on-site device accounts, etc.) associated with the AMF China deployment. While users had easy access to the previous AMF deployment in Germany that resulted in all-time high user statistics, physical and remote access to on-site accounts are extremely limited for the AMF deployment in China. Furthermore, AMF data have not yet been released from China to the Data Management Facility for processing, which affects Archive user statistics. However, Archive users are only down about 10% from last quarter. Another reason for the apparent reduction in Archive users is that data from the Indirect and Semi-Direct Aerosol Campaign (ISDAC), a major field campaign conducted on the North Slope of Alaska, are not yet available to users. For reporting purposes, the three ACRF sites and the AMF operate 24 hours per day, 7 days per week, and 52 weeks per year. Time is reported in days instead of hours. If any lost work time is incurred by any employee, it is counted as a workday loss. Table 3 reports the consecutive days since the last recordable or reportable injury or incident causing damage to property, equipment, or vehicle for the period July 1 - September 30, 2008. There were no incidents this reporting period.

  13. Atmospheric Radiation Measurement program climate research facility operations quarterly report October 1 - December 31, 2006.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2007-03-14

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. Table 1 shows the accumulated maximum operation time (planned uptime), the actual hours of operation, and the variance (unplanned downtime) for the period October 1 through December 31, 2006, for the fixed and mobile sites. Although the AMF is currently up and running in Niamey, Niger, Africa, the AMF statistics are reported separately and not included in the aggregate average with the fixed sites. The first quarter comprises a total of 2,208 hours. For all fixed sites, the actual data availability (and therefore actual hours of operation) exceeded the individual (and well as aggregate average of the fixed sites) operational goal for the first quarter of fiscal year (FY) 2007. The Site Access Request System is a web-based database used to track visitors to the fixed sites, all of which have facilities that can be visited. The NSA locale has the Barrow and Atqasuk sites. The SGP site has a Central Facility, 23 extended facilities, 4 boundary facilities, and 3 intermediate facilities. The TWP locale has the Manus, Nauru, and Darwin sites. NIM represents the AMF statistics for the current deployment in Niamey, Niger, Africa. PYE represents the AMF statistics for the Point Reyes, California, past deployment in 2005. In addition, users who do not want to wait for data to be provided through the ACRF Archive can request an account on the local site data system. The eight research computers are located at the Barrow and Atqasuk sites; the SGP Central Facility; the TWP Manus, Nauru, and Darwin sites; the DMF at PNNL; and the AMF in Niger. This report provides the cumulative numbers of visitors and user accounts by site for the period January 1, 2006 - December 31, 2006. The U.S. Department of Energy requires national user facilities to report facility use by total visitor days-broken down by institution type, gender, race, citizenship, visitor role, visit purpose, and facility-for actual visitors and for active user research computer accounts. During this reporting period, the ACRF Archive did not collect data on user characteristics in this way. Work is under way to collect and report these data. Table 2 shows the summary of cumulative users for the period January 1, 2006 - December 31, 2006. For the first quarter of FY 2007, the overall number of users is up from the last reporting period. The historical data show that there is an apparent relationship between the total number of users and the 'size' of field campaigns, called Intensive Operation Periods (IOPs): larger IOPs draw more of the site facility resources, which are reflected by the number of site visits and site visit days, research accounts, and device accounts. These types of users typically collect and analyze data in near-real time for a site-specific IOP that is in progress. However, the Archive accounts represent persistent (year-to-year) ACRF data users that often mine from the entire collection of ACRF data, which mostly includes routine data from the fixed and mobile sites, as well as cumulative IOP data sets. Archive data users continue to show a steady growth, which is independent of the size of IOPs. For this quarter, the number of Archive data user accounts was 961, the highest since record-keeping began. For reporting purposes, the three ACRF sites and the AMF operate 24 hours per day, 7 days per week, and 52 weeks per year. Although the AMF is not officially collecting data this quarter, personnel are regularly involved with teardown, packing, hipping, unpacking, setup, and maintenance activities, so they are included in the safety statistics. Time is reported in days instead of hours. If any lost work time is incurred by any employee, it is counted as a workday loss. Table 3 reports the consecutive days since the last recordable or reportable injury or incident causing damage to property, equipment, or vehicle for the period October 1 - December 31, 2006. There were no recordable or lost workdays or incidents for the first quarter of FY 2007.

  14. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM Climate Research Facility Quarterly Value-Added Product Report Chitra Sivaraman October 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would

  15. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman February 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  16. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman November 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  17. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman January 2013 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  18. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman October 2013 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  19. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman January 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  20. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman October 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  1. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman January 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  2. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman July 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  3. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM Climate Research Facility Quarterly Ingest Status Report A Koontz C Sivaraman January 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  4. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ARM Climate Research Facility Quarterly Ingest Status Report A Koontz C Sivaraman April 2014 DOE/SC-ARM-14-014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that

  5. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM Climate Research Facility Quarterly Ingest Status Report A Koontz C Sivaraman July 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  6. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM Climate Research Facility Quarterly Ingest Status Report A Koontz C Sivaraman January 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  7. NREL: Climate Neutral Research Campuses - Implementing the Climate Action

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Plan Implementing the Climate Action Plan When implementing climate action plans on research campuses, two important and related questions must be answered. How do we pay for climate actions? And, who will manage and oversee implementation of the plan? The answer to each question will be specific to your campus. Narrow climate action plans focus on incremental savings through low-cost and voluntary measures. This approach begs the question about what should be done after the short-term,

  8. Atmospheric Radiation Measurement program climate research facility operations quarterly report October 1 - December 31, 2007.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2008-01-24

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period October 1 - December 31, 2007, for the fixed sites and the mobile site. The AMF has been deployed to Germany and this was the final operational quarter. The first quarter comprises a total of 2,208 hours. Although the average exceeded our goal this quarter, a series of severe weather events (i.e., widespread ice storms) disrupted utility services, which affected the SGP performance measures. Some instruments were covered in ice and power and data communication lines were down for more than 10 days in some areas of Oklahoma and Kansas, which resulted in lost data at the SGP site. The Site Access Request System is a web-based database used to track visitors to the fixed sites, all of which have facilities that can be visited. The NSA locale has the Barrow and Atqasuk sites. The SGP site has a central facility, 23 extended facilities, 4 boundary facilities, and 3 intermediate facilities. The TWP locale has the Manus, Nauru, and Darwin sites. The AMF completed its mission at the end of this quarter in Haselback, Germany (FKB designation). NIM represents the AMF statistics for the Niamey, Niger, Africa, past deployment in 2006. PYE represents just the AMF Archive statistics for the Point Reyes, California, past deployment in 2005. In addition, users who do not want to wait for data to be provided through the ACRF Archive can request an account on the local site data system. The eight research computers are located at the Barrow and Atqasuk sites; the SGP central facility; the TWP Manus, Nauru, and Darwin sites; the DMF at PNNL; and the AMF, currently in Germany. In addition, the ACRF serves as a data repository for a long-term Arctic atmospheric observatory in Eureka, Canada (80 degrees 05 minutes N, 86 degrees 43 minutes W) as part of the multiagency Study of Environmental Arctic Change (SEARCH) Program. NOAA began providing instruments for the site in 2005, and currently cloud radar data are available. The intent of the site is to monitor the important components of the Arctic atmosphere, including clouds, aerosols, atmospheric radiation, and local-scale atmospheric dynamics. Due to the similarity of ACRF NSA data streams, and the important synergy that can be formed between a network of Arctic atmospheric observations, much of the SEARCH observatory data are archived in the ARM archive. Instruments will be added to the site over time. For more information, please visit http://www.db.arm.gov/data. The designation for the archived Eureka data is YEU and is now included in the ACRF user metrics. This quarterly report provides the cumulative numbers of visitors and user accounts by site for the period January 1, 2007 - December 31, 2007. Table 2 shows the summary of cumulative users for the period January 1, 2007 - December 31, 2007. For the first quarter of FY 2008, the overall number of users was up significantly from the last reporting period. For the fourth consecutive reporting period, a record high number of Archive users was recorded. In addition, the number of visitors and visitor days set a new record this reporting period particularly due to the large number of field campaign activities in conjunction with the AMF deployment in Germany. It is interesting to note this quarter that 22% (a slight decrease from last quarter) of the Archive users are ARM Science funded principal investigators and 35% (the same as last quarter) of all other facility users are either ARM Science-funded principal investigators or ACRF infrastructure personnel. For reporting purposes, the three ACRF sites and the AMF operate 24 hours per day, 7 days per week, and 52 weeks per year. Time is reported in days instead of hours. If any lost work time is incurred by any employee, it is counted as a workday loss. Table 3 reports the consecutive days since the last recordable or reportable injury or incident causing damage to property, equipment, or vehicle for the period October 1 - December 31, 2007. There were no incidents this reporting period.

  9. Atmospheric Radiation Measurement program climate research facility operations quarterly report January 1 - March 31, 2008.

    SciTech Connect (OSTI)

    Sisterson, D. L.

    2008-05-22

    Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. Table 1 shows the accumulated maximum operation time (planned uptime), actual hours of operation, and variance (unplanned downtime) for the period January 1 - March 31, 2008, for the fixed sites. The AMF is being deployed to China and is not in operation this quarter. The second quarter comprises a total of 2,184 hours. The average as well as the individual site values exceeded our goal this quarter. The Site Access Request System is a web-based database used to track visitors to the fixed and mobile sites, all of which have facilities that can be visited. The NSA locale has the Barrow and Atqasuk sites. The SGP site has a central facility, 23 extended facilities, 4 boundary facilities, and 3 intermediate facilities. The TWP locale has the Manus, Nauru, and Darwin sites. FKB represents the AMF statistics for the Haselbach, Germany, past deployment in 2007. NIM represents the AMF statistics for the Niamey, Niger, Africa, past deployment in 2006. PYE represents just the AMF Archive statistics for the Point Reyes, California, past deployment in 2005. In addition, users who do not want to wait for data to be provided through the ACRF Archive can request a research account on the local site data system. The seven computers for the research accounts are located at the Barrow and Atqasuk sites; the SGP central facility; the TWP Manus, Nauru, and Darwin sites; and the DMF at PNNL. In addition, the ACRF serves as a data repository for a long-term Arctic atmospheric observatory in Eureka, Canada (80 degrees 05 minutes N, 86 degrees 43 minutes W) as part of the multiagency Study of Environmental Arctic Change (SEARCH) Program. NOAA began providing instruments for the site in 2005, and currently cloud radar data are available. The intent of the site is to monitor the important components of the Arctic atmosphere, including clouds, aerosols, atmospheric radiation, and local-scale atmospheric dynamics. Because of the similarity of ACRF NSA data streams and the important synergy that can be formed between a network of Arctic atmospheric observations, much of the SEARCH observatory data are archived in the ARM archive. Instruments will be added to the site over time. For more information, please visit http://www.db.arm.gov/data. The designation for the archived Eureka data is YEU and is now included in the ACRF user metrics. This quarterly report provides the cumulative numbers of visitors and user accounts by site for the period April 1, 2007 - March 31, 2008. Table 2 shows the summary of cumulative users for the period April 1, 2007 - March 31, 2007. For the second quarter of FY 2008, the overall number of users was nearly as high as the last reporting period, in which a new record high for number of users was established. This quarter, a new record high was established for the number of user days, particularly due to the large number of field campaign activities in conjunction with the AMF deployment in Germany, as well as major field campaigns at the NSA and SGP sites. This quarter, 37% of the Archive users are ARM science-funded principal investigators and 23% of all other facility users are either ARM science-funded principal investigators or ACRF infrastructure personnel. For reporting purposes, the three ACRF sites and the AMF operate 24 hours per day, 7 days per week, and 52 weeks per year. Time is reported in days instead of hours. If any lost work time is incurred by any employee, it is counted as a workday loss. Table 3 reports the consecutive days since the last recordable or reportable injury or incident causing damage to property, equipment, or vehicle for the period January 1 - March 31, 2008. There were no incidents this reporting period.

  10. Arctic Climate Measurements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Measurements - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

  11. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report July 1–September 30, 2010

    SciTech Connect (OSTI)

    Sisterson, DL

    2010-10-15

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  12. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1–June 30, 2010

    SciTech Connect (OSTI)

    Sisterson, DL

    2010-07-09

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  13. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report October 1–December 31, 2009

    SciTech Connect (OSTI)

    DL Sisterson

    2010-01-15

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Data Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  14. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report January 1–March 31, 2011

    SciTech Connect (OSTI)

    Sisterson, DL

    2011-04-11

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Data Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Data Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  15. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report April 1–June 30, 2011

    SciTech Connect (OSTI)

    Voyles, JW

    2011-07-25

    Individual raw datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory (PNNL) for processing in near real-time. Raw and processed data are then sent approximately daily to the ARM Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of processed data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual datastream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998.

  16. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report July 1 - September 30, 2005

    SciTech Connect (OSTI)

    DL Sisterson

    2005-09-30

    Description. Individual raw data streams from instrumentation at the ACRF fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at PNNL for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year dating back to 1998. The DOE requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The OPSMAX time for the third quarter for the Southern Great Plains (SGP) site is 2,097.6 hours (0.95 × 2,208 hours this quarter). The OPSMAX for the North Slope Alaska (NSA) site is 1,987.2 hours (0.90 × 2,208), and that for the Tropical Western Pacific (TWP) site is 1,876.8 hours (0.85 × 2,208). The OPSMAX time for the ARM Mobile Facility (AMF) is 2,097.6 hours (0.95 × 2,208). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 92 days for this quarter) the instruments were operating this quarter.

  17. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    using an "open" channel. The MFRSR has a rotating shadowband, which periodically shades the instrument, allowing measurement of both diffuse and total downwelling shortwave...

  18. Atmospheric Radiation Measurement Program Climate Research Facility Operations Cumulative Quarterly Report October 1, 2003 - September 30, 2004

    SciTech Connect (OSTI)

    DL Sisterson

    2004-09-30

    Description. Individual raw data streams from instrumentation at the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) fixed and mobile sites are collected and sent to the Data Management Facility (DMF) at Pacific Northwest National Laboratory for processing in near real time. Raw and processed data are then sent daily to the ACRF Archive, where they are made available to users. For each instrument, we calculate the ratio of the actual number of data records received daily at the Archive to the expected number of data records. The results are tabulated by (1) individual data stream, site, and month for the current year and (2) site and fiscal year (FY) dating back to 1998. The United States Department of Energy requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime. The annual OPSMAX time for the Southern Great Plains (SGP) site is 8,322 hours per year (0.95 × 8,760, the number hours in a year, not including leap year). The annual OPSMAX for the North Slope Alaska (NSA) site is 7,884 hours per year (0.90 × 8,760), and that for the Tropical Western Pacific (TWP) site is 7,446 hours per year (0.85 × 8,760). The differences in OPSMAX performance reflect the complexity of local logistics and the frequency of extreme weather events. It is impractical to measure OPSMAX for each instrument or data stream. Data availability reported here refers to the average of the individual, continuous data streams that have been received by the ACRF Archive. Data not at the Archive are caused by downtime (scheduled or unplanned) of the individual instruments. Therefore, data availability is directly related to individual instrument uptime. Thus, the average percent of data in the Archive represents the average percent of the time (24 hours per day, 365 days per year) the instruments were operating.

  19. China-Climate Change Research Center | Open Energy Information

    Open Energy Info (EERE)

    China-Climate Change Research Center (Redirected from ClimateWorks-China Climate Change Research Center) Jump to: navigation, search Name China-Climate Change Research Center...

  20. ARM Climate Research Facility Quarterly Value-Added Product Report

    SciTech Connect (OSTI)

    Sivaraman, Chitra

    2014-11-21

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement (ARM) Climate Research Facility.

  1. Field Campaign Guidelines (ARM Climate Research Facility)

    SciTech Connect (OSTI)

    Voyles, JW

    2011-01-17

    The purpose of this document is to establish a common set of guidelines for the Atmospheric Radiation Measurement (ARM) Climate Research Facility for planning, executing, and closing out field campaigns. The steps that guide individual field campaigns are described in the Field Campaign Tracking database tool and are tailored to meet the scope of each specific field campaign.

  2. Duplex Rules June 2010 Atmospheric Radiation Measurement Climate...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Duplex Rules June 2010 Atmospheric Radiation Measurement Climate Research Facility North Slope of AlaskaAdjacent Arctic Ocean (ACRFNSAAAO) Duplex Rules Who can stay in the ...

  3. ARM Climate Research Facility Annual Report 2004

    SciTech Connect (OSTI)

    Voyles, J.

    2004-12-31

    Like a rock that slowly wears away beneath the pressure of a waterfall, planet earth?s climate is almost imperceptibly changing. Glaciers are getting smaller, droughts are lasting longer, and extreme weather events like fires, floods, and tornadoes are occurring with greater frequency. Why? Part of the answer is clouds and the amount of solar radiation they reflect or absorb. These two factors clouds and radiative transfer represent the greatest source of error and uncertainty in the current generation of general circulation models used for climate research and simulation. The U.S. Global Change Research Act of 1990 established an interagency program within the Executive Office of the President to coordinate U.S. agency-sponsored scientific research designed to monitor, understand, and predict changes in the global environment. To address the need for new research on clouds and radiation, the U.S. Department of Energy (DOE) established the Atmospheric Radiation Measurement (ARM) Program. As part of the DOE?s overall Climate Change Science Program, a primary objective of the ARM Program is improved scientific understanding of the fundamental physics related to interactions between clouds and radiative feedback processes in the atmosphere.

  4. China-Climate Change Research Center | Open Energy Information

    Open Energy Info (EERE)

    China-Climate Change Research Center Jump to: navigation, search Name China-Climate Change Research Center AgencyCompany Organization ClimateWorks, Energy Foundation Sector...

  5. ARM Climate Research Facility Annual Report 2005

    SciTech Connect (OSTI)

    J. Voyles

    2005-12-31

    Through the ARM Program, the DOE funded the development of several highly instrumented ground stations for studying cloud formation processes and their influence on radiative transfer, and for measuring other parameters that determine the radiative properties of the atmosphere. This scientific infrastructure, and resultant data archive, is a valuable national and international asset for advancing scientific knowledge of Earth systems. In fiscal year (FY) 2003, the DOE designated ARM sites as a national scientific user facility: the ARM Climate Research (ACRF). The ACRF has enormous potential to contribute to a wide range interdisciplinary science in areas such as meteorology, atmospheric aerosols, hydrology, biogeochemical cycling, and satellite validation, to name only a few.

  6. Nature Climate Change features Los Alamos forest research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nature Climate Change Features Forest Research Nature Climate Change features Los Alamos forest research The print issue features as its cover story the tree-stress research of...

  7. Nature climate change features Los Alamos forest research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nature climate change features forest research Nature climate change features Los Alamos forest research The print issue features as its cover story the tree-stress research of...

  8. ARM Climate Research Facility | U.S. DOE Office of Science (SC...

    Office of Science (SC) Website

    ARM Climate Research Facility Print Text Size: A A A FeedbackShare Page The Atmospheric Radiation Measurement (ARM) Climate Research Facility (www.arm.gov) is a multi-platform ...

  9. Enhanced Soundings for Local Coupling Studies: 2015 ARM Climate Research

    Office of Scientific and Technical Information (OSTI)

    Facility Field Campaign (Program Document) | SciTech Connect Program Document: Enhanced Soundings for Local Coupling Studies: 2015 ARM Climate Research Facility Field Campaign Citation Details In-Document Search Title: Enhanced Soundings for Local Coupling Studies: 2015 ARM Climate Research Facility Field Campaign Matching observed diurnal cycles is a fundamental yet extremely complex test for models. High temporal resolution measurements of surface turbulent heat fluxes and boundary layer

  10. IISD Climate Change and Agriculture Research | Open Energy Information

    Open Energy Info (EERE)

    Climate Change and Agriculture Research Jump to: navigation, search Tool Summary Name: IISD Climate Change and Agriculture Research AgencyCompany Organization: International...

  11. South Africa-Energy and Climate Change Research Program | Open...

    Open Energy Info (EERE)

    Energy and Climate Change Research Program Jump to: navigation, search Name South Africa Energy and Climate Change Research Program AgencyCompany Organization France Agency of...

  12. Mexico-Energy and Climate Change Research Program | Open Energy...

    Open Energy Info (EERE)

    Energy and Climate Change Research Program Jump to: navigation, search Name Mexico Energy and Climate Change Research Program AgencyCompany Organization France Agency of...

  13. China-Energy and Climate Change Research Program | Open Energy...

    Open Energy Info (EERE)

    and Climate Change Research Program Jump to: navigation, search Name China-Energy and Climate Change Research Program AgencyCompany Organization France Agency of Development...

  14. ORISE: Climate and Atmospheric Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ATDD's objectives include: Developing better methods for predicting transport and dispersion of air pollutants. Collecting high-quality measurements and improving the modeling...

  15. NREL: Technology Deployment - Climate Neutral Research Campuses

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Neutral Research Campuses Technology Deployment Four photos in a row across the top of the page. The first photo shows the profile of a wind turbine at dusk; the second of two women in white laboratory coats and glasses observing a piece of equipment; the third of a blue car moving downhill with a red rock in the background; the fourth of a walkway to a sandstone building that has a silver tower in the front and a silver walkway into the second story. Climate Neutral Research Campuses

  16. Research on Factors Relating to Density and Climate Change |...

    Open Energy Info (EERE)

    on Factors Relating to Density and Climate Change Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Research on Factors Relating to Density and Climate Change Agency...

  17. U.S. and Portugal Sign Agreement for Climate Research Collaboration...

    Office of Environmental Management (EM)

    The portable observatory, or Atmospheric Radiation Measurement (ARM) Mobile Facility, is part of U.S. Department of Energy (DOE) ARM Climate Research Facility, a collection of ...

  18. NREL: Climate Neutral Research Campuses - Labs21 Approach to Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Neutral Campuses Labs21 Approach to Climate Neutral Campuses Photo of the NREL Science and Technology Facility shows a concrete and metal structure sitting below a clear blue sky. The NREL Science and Technology Facility serves as one Labs21 pilot project demonstrating approaches to reducing energy and greenhouse gas emissions on research campuses. Labs for the 21st Century (Labs21) is a joint venture of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA).

  19. ARM Climate Research Facility Instrumentation Status and Information April 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-05-15

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  20. ARM Climate Research Facility Instrumentation Status and Information February 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-03-25

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  1. ARM Climate Research Facility Instrumentation Status and Information December 2009

    SciTech Connect (OSTI)

    JW Voyles

    2010-12-30

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  2. ARM Climate Research Facility Instrumentation Status and Information October 2009

    SciTech Connect (OSTI)

    JW Voyles

    2009-10-01

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  3. ARM Climate Research Facility Monthly Instrument Report August 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-09-28

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  4. ARM Climate Research Facility Instrumentation Status and Information January 2010

    SciTech Connect (OSTI)

    JW Voyles

    2010-02-28

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  5. ARM Climate Research Facility Instrumentation Status and Information March 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-04-19

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  6. ARM Climate Research Facility Monthly Instrument Report June 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-07-13

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  7. ARM Climate Research Facility Monthly Instrument Report July 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-08-18

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  8. ARM Climate Research Facility Monthly Instrument Report May 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-06-21

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  9. ARM Climate Research Facility Monthly Instrument Report September 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2010-10-18

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following five sections: (1) new instrumentation in the process of being acquired and deployed, (2) field campaigns, (3) existing instrumentation and progress on improvements or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development.

  10. ARM Climate Research Facility Quarterly Value-Added Product Report

    SciTech Connect (OSTI)

    Sivaraman, Chitra

    2014-01-14

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, (3) future VAPs that have been recently approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive.

  11. ARM Climate Research Facility Quarterly Value-Added Product Report

    SciTech Connect (OSTI)

    Sivaraman, Chitra

    2013-07-31

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, (3) future VAPs that have been recently approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive.

  12. Data Quality Assessment and Control for the ARM Climate Research Facility

    SciTech Connect (OSTI)

    Peppler, R

    2012-06-26

    The mission of the Atmospheric Radiation Measurement (ARM) Climate Research Facility is to provide observations of the earth climate system to the climate research community for the purpose of improving the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their coupling with the Earth's surface. In order for ARM measurements to be useful toward this goal, it is important that the measurements are of a known and reasonable quality. The ARM data quality program includes several components designed to identify quality issues in near-real-time, track problems to solutions, assess more subtle long-term issues, and communicate problems to the user community.

  13. New and Improved Data Logging and Collection System for Atmospheric Radiation Measurement Climate Research Facility, Tropical Western Pacific, and North Slope of Alaska Sky Radiation, Ground Radiation, and MET Systems

    SciTech Connect (OSTI)

    Ritsche, M.T.; Holdridge, D.J.; Pearson, R.

    2005-03-18

    Aging systems and technological advances mandated changes to the data collection systems at the Atmospheric Radiation Measurement (ARM) Program's Tropical Western Pacific (TWP) and North Slope of Alaska (NSA) ARM Climate Research Facility (ACRF) sites. Key reasons for the upgrade include the following: achieve consistency across all ACRF sites for easy data use and operational maintenance; minimize the need for a single mentor requiring specialized knowledge and training; provide local access to real-time data for operational support, intensive operational period (IOP) support, and public relations; eliminate problems with physical packaging (condensation, connectors, etc.); and increase flexibility in programming and control of the data logger.

  14. DOE Science Showcase - Featured Climate Change Research from DOE Databases

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    | OSTI, US Dept of Energy, Office of Scientific and Technical Information Featured Climate Change Research from DOE Databases Search Results from DOE Databases View research documents, citations, accomplishments, patents, and projects related to climate change, one of the primary scientific challenges addressed through the Incite Program. Climate Change Information Bridge Energy Citations Database DOE R&D Accomplishments Database DOE Data Explorer Climate Modeling Information Bridge

  15. Advancing Climate Science with Global Research Facilities

    Broader source: Energy.gov [DOE]

    Learn how scientists are collecting and studying data to develop a better understanding of the Earth's climate.

  16. DOE/SC-ARM-14-033 ARM Climate Research Facility ANNUAL REPORT - 2014

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM Climate Research Facility ANNUAL REPORT - 2014 On the cover: BAECC Site Panorama The Biogenic Aerosols - Effects on Clouds and Climate (BAECC) field campaign is a collaboration with Finnish scientists to measure biogenic aerosols emitted from forests in order to determine their effects on clouds, precipitation, and climate. BAECC placed the second ARM Mobile Facility in a Scots pine forest in southern Finland from February through September 2014 to obtain surface-based measurements of

  17. ARM Climate Research Facilities on the North Slope of Alaska...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Research Facilities on the North Slope of Alaska: Field Campaigns in 2007, New Facilities, and the International Polar Year Radiative Heating in Underexplored Bands...

  18. U.S. Global Change Research Program publishes "National Climate...

    Open Energy Info (EERE)

    U.S. Global Change Research Program publishes "National Climate Assessment" report for United States Home > Groups > OpenEI Community Central Graham7781's picture Submitted by...

  19. Maintaining History of the ARM Climate Research Facility Data

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Maintaining History of the ARM Climate Research Facility Data Koontz, Annette Pacific Northwest National Laboratory Sivaraman, Chitra Pacific Northwest National Laboratory Martin,...

  20. A new scenario framework for climate change research: The concept of Shared Climate Policy Assumptions

    SciTech Connect (OSTI)

    Kriegler, Elmar; Edmonds, James A.; Hallegatte, Stephane; Ebi, Kristie L.; Kram, Tom; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef

    2014-04-01

    The paper presents the concept of shared climate policy assumptions as an important element of the new scenario framework. Shared climate policy assumptions capture key climate policy dimensions such as the type and scale of mitigation and adaptation measures. They are not specified in the socio-economic reference pathways, and therefore introduce an important third dimension to the scenario matrix architecture. Climate policy assumptions will have to be made in any climate policy scenario, and can have a significant impact on the scenario description. We conclude that a meaningful set of shared climate policy assumptions is useful for grouping individual climate policy analyses and facilitating their comparison. Shared climate policy assumptions should be designed to be policy relevant, and as a set to be broad enough to allow a comprehensive exploration of the climate change scenario space.

  1. Nature Climate Change features Los Alamos forest research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nature Climate Change Features Forest Research Nature Climate Change features Los Alamos forest research The print issue features as its cover story the tree-stress research of LANL scientist A. Park Williams and partners from the U.S. Geological Survey, University of Arizona and several other organizations. February 27, 2013 Burned trees in the Jemez Mountains of New Mexico after the 2011 Las Conchas fire. Image by Craig D. Allen, USGS. Burned trees in the Jemez Mountains of New Mexico after

  2. Researchers explore correlation between climate and wildfires...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    than 22 percent per year. The research team Former LANL postdoctoral fellow A. Park Williams, now of Columbia University, led the studies. Researchers include Richard Seager...

  3. ARM - What is the ARM Climate Research Facility Doing About Global Warming?

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    WarmingWhat is the ARM Climate Research Facility Doing About Global Warming? Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans What is the ARM Climate Research Facility Doing About Global Warming? Atmospheric Radiation Measurement (ARM) scientists are studying the effects of clouds on weather

  4. Global climate change: Social and economic research issues

    SciTech Connect (OSTI)

    Rice, M.; Snow, J.; Jacobson, H.

    1992-05-01

    This workshop was designed to bring together a group of scholars, primarily from the social sciences, to explore research that might help in dealing with global climate change. To illustrate the state of present understanding, it seemed useful to focus this workshop on three broad questions that are involved in coping with climate change. These are: (1) How can the anticipated economic costs and benefits of climate change be identified; (2) How can the impacts of climate change be adjusted to or avoided; (3) What previously studied models are available for institutional management of the global environment? The resulting discussions may (1) identify worthwhile avenues for further social science research, (2) help develop feedback for natural scientists about research information from this domain needed by social scientists, and (3) provide policymakers with the sort of relevant research information from the social science community that is currently available. Individual papers are processed separately for the database.

  5. World's largest climate research site pilots integrated modeling...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    at the Southern Great Plains site. Image courtesy of the U.S. Department of Energy ARM Climate Research Facility; click to view larger. A graphic illustrating new data collection...

  6. ARM Climate Research Facility Data Management Facility Quarterly...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    U.S. Government or any agency thereof. DOESC-ARM-15-023 ARM Climate Research Facility Data Management Facility Quarterly Report Second Quarter: January 1 to March 31, 2015 NN...

  7. NREL: Climate Neutral Research Campuses - Working with Us

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Working with Us Close-up photo of a photovoltaic panel on Cornell University's Day Hall with the campus clock tower standing in the background. Cornell University is representative of a research campus taking the lead in energy management, sustainability, and climate action. Read the Cornell University Climate Action Plan. The university supplied technical support for the development of this Web site. The National Renewable Energy Laboratory (NREL) helps research campuses of all types evaluate,

  8. Charter for the ARM Climate Research Facility Science Board

    SciTech Connect (OSTI)

    Ferrell, W

    2013-03-08

    The objective of the ARM Science Board is to promote the Nation’s scientific enterprise by ensuring that the best quality science is conducted at the DOE’s User Facility known as the ARM Climate Research Facility. The goal of the User Facility is to serve scientific researchers by providing unique data and tools to facilitate scientific applications for improving understanding and prediction of climate science.

  9. ARM Climate Research Facility Radar Operations Plan

    SciTech Connect (OSTI)

    Voyles, JW

    2012-05-18

    Roles, responsibilities, and processes associated with Atmospheric Radiation Measurement (ARM) Radar Operations.

  10. Quality Assurance of ARM Program Climate Research Facility Data

    SciTech Connect (OSTI)

    Peppler, RA; Kehoe, KE; Sonntag, KL; Bahrmann, CP; Richardson, SJ; Christensen, SW; McCord, RA; Doty, DJ; Wagener, Richard; Eagan, RC; Lijegren, JC; Orr, BW; Sisterson, DL; Halter, TD; Keck, NN; Long, CN; Macduff, MC; Mather, JH; Perez, RC; Voyles, JW; Ivey, MD; Moore, ST; Nitschke, DL; Perkins, BD; Turner, DD

    2008-03-01

    This report documents key aspects of the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) data quality assurance program as it existed in 2008. The performance of ACRF instruments, sites, and data systems is measured in terms of the availability, usability, and accessibility of the data to a user. First, the data must be available to users; that is, the data must be collected by instrument systems, processed, and delivered to a central repository in a timely manner. Second, the data must be usable; that is, the data must be inspected and deemed of sufficient quality for scientific research purposes, and data users must be able to readily tell where there are known problems in the data. Finally, the data must be accessible; that is, data users must be able to easily find, obtain, and work with the data from the central repository. The processes described in this report include instrument deployment and calibration; instrument and facility maintenance; data collection and processing infrastructure; data stream inspection and assessment; the roles of value-added data processing and field campaigns in specifying data quality and haracterizing the basic measurement; data archival, display, and distribution; data stream reprocessing; and engineering and operations management processes and procedures. Future directions in ACRF data quality assurance also are presented.

  11. Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Home/Climate - subter_intern Permalink Gallery Subsurface Technology & Engineering Research (SubTER) Internship Opportunities Climate, News Subsurface Technology & Engineering Research (SubTER) Internship Opportunities Sandia National Laboratories will offer a Subsurface Technology & Engineering Research (SubTER) oriented summer internship mid-May through early August 2016 and focus on subjects including geophysical data processing, tomographic imaging, automatic picking, and

  12. Assessment of cold-climate environmental research priorities

    SciTech Connect (OSTI)

    States, J.B.

    1983-04-01

    The Environmental Protection Agency (EPA) has consistently recognized that cold regions pose unique environmental problems. This report sets forth the conceptual framework and research plans for several high priority research areas. It provides the fundamental basis for implementation of the EPA Cold-Climate Environmental Research Program. This three- to five-year program encompasses both short- and long-term research of high relevance to the EPA and to the cold regions that it serves.

  13. Scientific Guidance, Research, and Educational Outreach for the ARM Climate Research Facility (ACRF) in the Southern Great Plains

    SciTech Connect (OSTI)

    Lamb, Peter J.

    2013-06-13

    Scientific Guidance, Research, and Educational Outreach for the ARM Climate Research Facility (ACRF) in the Southern Great Plains

  14. ARM Climate Research Facility Quarterly Instrument Report Fourth Quarter: October 1–December 30, 2010

    SciTech Connect (OSTI)

    Voyles, JW

    2011-01-17

    The purpose of this report is to provide a concise but comprehensive overview of Atmospheric Radiation Measurement Climate Research Facility instrumentation status. The report is divided into the following sections: (1) new instrumentation in the process of being acquired and deployed, (2) existing instrumentation and progress on improvements or upgrades, (3) proposed future instrumentation, and (4) Small Business Innovation Research instrument development.

  15. Climate change and energy security: an analysis of policy research

    SciTech Connect (OSTI)

    King, Marcus Dubois; Gulledge, Jay

    2013-01-01

    The literature on climate change's impacts on energy security is scattered across disparate fields of research and schools of thought. Much of this literature has been produced outside of the academy by scholars and practitioners working in "think tanks," government agencies, and international/multilateral institutions. Here we reviewed a selected set of 58 articles and reports primarily from such sources and performed textual analysis of the arguments. Our review of this literature identifies three potential mechanisms for linking climate change and energy security: Climate change may 1) create second-order effects that may exacerbate social instability and disrupt energy systems; 2) directly impact energy supply and/or systems or 3) influence energy security through the effects of climate-related policies. We identify emerging risks to energy security driven by climate mitigation tech-nology choices but find less evidence of climate change's direct physical impacts. We used both empirical and qualitative selection factors for choosing the grey literature sample. The sources we selected were published in the last 5 years, available through electronic media and were written in language accessible to general policy or academic readers. The organi-zations that published the literature had performed previous research in the general fields of energy and/or climate change with some analytical content and identified themselves as non-partisan. This literature is particularly valuable to scholars because identifies understudied relationships that can be rigorously assessed through academic tools and methodologies and informs a translational research agenda that will allow scholars to engage with practitioners to address challenges that lie at the nexus of climate change and energy security.

  16. Pacific Northwest Laboratory annual report for 1991 to the DOE Office of Energy Research. Part 3, Atmospheric and climate research

    SciTech Connect (OSTI)

    Not Available

    1992-05-01

    Within the US Department of Energy`s (DOE`s) Office of Health and Environmental Research (OHER), the atmospheric sciences and carbon dioxide research programs are part of the Environmental Sciences Division (ESD). One of the central missions of the division Is to provide the DOE with scientifically defensible information on the local, regional, and global distributions of energy-related pollutants and their effects on climate. This information is vital to the definition and Implementation of a sound national energy strategy. This volume reports on the progress and status of all OHER atmospheric science and climate research projects at the Pacific Northwest Laboratory (PNL). Research at PNL provides basic scientific underpinnings to DOE`s program of global climate research. Research projects within the core carbon dioxide and ocean research programs are now integrated with those in the Atmospheric Radiation Measurements (ARM), the Computer Hardware, Advanced Mathematics and Model Physics (CHAMMP), and quantitative links programs to form DOEs contribution to the US Global Change Research Program. Climate research in the ESD has the common goal of improving our understanding of the physical, chemical, biological, and social processes that influence the Earth system so that national and international policymaking relating to natural and human-induced changes in the Earth system can be given a firm scientific basis. This report describes the progress In FY 1991 in each of these areas.

  17. Building America Residential System Research Results: Achieving 30% Whole House Energy Savings Level in Cold Climates

    SciTech Connect (OSTI)

    Building Industry Research Alliance; Building Science Consortium; Consortium for Advanced Residential Buildings; Florida Solar Energy Center; IBACOS; National Renewable Energy Laboratory

    2006-08-01

    The Building America program conducts the system research required to reduce risks associated with the design and construction of homes that use an average of 30% to 90% less total energy for all residential energy uses than the Building America Research Benchmark, including research on homes that will use zero net energy on annual basis. To measure the program's progress, annual research milestones have been established for five major climate regions in the United States. The system research activities required to reach each milestone take from 3 to 5 years to complete and include research in individual test houses, studies in pre-production prototypes, and research studies with lead builders that provide early examples that the specified energy savings level can be successfully achieved on a production basis. This report summarizes research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in Cold Climates on a cost-neutral basis.

  18. Livermore research finds that climate models overestimate rainfall

    National Nuclear Security Administration (NNSA)

    increases | National Nuclear Security Administration research finds that climate models overestimate rainfall increases | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional

  19. Climate researcher McDowell receives Fulbright Scholar Award

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Fulbright Scholar Award Climate researcher McDowell receives Fulbright Scholar Award The Fulbright Program is designed to "increase mutual understanding between the people of the United States and the people of other countries." August 31, 2010 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics

  20. ARM Climate Research Facility Quarterly Ingest Status Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5-092 ARM Climate Research Facility Quarterly Ingest Status Report A Koontz C Sivaraman October 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would

  1. ARM Climate Research Facility Third Quarter Ingest Report - 2015

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 ARM Climate Research Facility Quarterly Ingest Status Report A Koontz C Sivaraman July 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  2. NREL: Climate Neutral Research Campuses - Determine Baseline Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Consumption Determine Baseline Energy Consumption To create a climate action plan for your research campus, begin by determining current energy consumption and the resulting greenhouse gas emissions. You can then break down emissions by sector. It important to understand the following at the beginning: The Importance of a Baseline "The baseline inventory also provides a common data set for establishing benchmarks and priorities during the strategic planning stage and a means for

  3. NREL: Photovoltaics Research - Measurements and Characterization...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Measurements and Characterization Photovoltaics Research The Measurements and Characterization group at the National Renewable Energy Laboratory and the National Center for...

  4. THE IMPACT OF THERMAL ENGINEERING RESEARCH ON GLOBAL CLIMATE CHANGE

    SciTech Connect (OSTI)

    Phelan, Patrick; Abdelaziz, Omar; Otanicar, Todd; Phelan, Bernadette; Prasher, Ravi; Taylor, Robert; Tyagi, Himanshu

    2014-01-01

    Global climate change is recognized by many people around the world as being one of the most pressing issues facing our society today. The thermal engineering research community clearly plays an important role in addressing this critical issue, but what kind of thermal engineering research is, or will be, most impactful? In other words, in what directions should thermal engineering research be targeted in order to derive the greatest benefit with respect to global climate change? To answer this question we consider the potential reduction in greenhouse gas (GHG) emissions, coupled with potential economic impacts, resulting from thermal engineering research. Here a new model framework is introduced that allows a technological, sector-by-sector analysis of GHG emissions avoidance. For each sector, we consider the maximum reduction in CO2 emissions due to such research, and the cost effectiveness of the new efficient technologies. The results are normalized on a country-by-country basis, where we consider the USA, the European Union, China, India, and Australia as representative countries or regions. Among energy supply-side technologies, improvements in coal-burning power generation are seen as having the most beneficial CO2 and economic impacts. The one demand-side technology considered, residential space cooling, offers positive but limited impacts. The proposed framework can be extended to include additional technologies and impacts, such as water consumption.

  5. Airborne Instrumentation Needs for Climate and Atmospheric Research

    SciTech Connect (OSTI)

    McFarquhar, Greg; Schmid, Beat; Korolev, Alexei; Ogren, John A.; Russell, P. B.; Tomlinson, Jason M.; Turner, David D.; Wiscombe, Warren J.

    2011-10-06

    Observational data are of fundamental importance for advances in climate and atmospheric research. Advances in atmospheric science are being made not only through the use of ground-based and space-based observations, but also through the use of in-situ and remote sensing observations acquired on instrumented aircraft. In order for us to enhance our knowledge of atmospheric processes, it is imperative that efforts be made to improve our understanding of the operating characteristics of current instrumentation and of the caveats and uncertainties in data acquired by current probes, as well as to develop improved observing methodologies for acquisition of airborne data.

  6. DOE, USDA, and NSF Launch Joint Climate Change Prediction Research Program

    Energy Savers [EERE]

    | Department of Energy DOE, USDA, and NSF Launch Joint Climate Change Prediction Research Program DOE, USDA, and NSF Launch Joint Climate Change Prediction Research Program March 22, 2010 - 12:00am Addthis Washington, DC - The U.S. Departments of Energy and Agriculture and the National Science Foundation (NSF) announced the launch of a joint research program to produce high-resolution models for predicting climate change and its resulting impacts. Called Decadal and Regional Climate

  7. DOE/SC-ARM-13-023 ARM Climate Research Facility ANNUAL REPORT - 2013

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3-023 ARM Climate Research Facility ANNUAL REPORT - 2013 On the cover: From October 2012 through September 2013, the second ARM Mobile Facility (AMF2) was deployed on the container ship, Spirit, operated by Horizon Lines, for the Marine ARM GPCI Investigation of Clouds (MAGIC) field campaign. During approximately 20 round trips between Los Angeles, California, and Honolulu, Hawaii, AMF2 obtained continuous on-board measurements of cloud and precipitation, aerosols, and atmospheric radiation;

  8. What is the ARM Climate Research Facility: Is Global Warming a Real Bias or a Statistical Anomaly?

    SciTech Connect (OSTI)

    Egami, Takeshi; Sisterson, Douglas L.

    2010-03-10

    The Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) is a U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research national user facility. With multi-laboratory management of distributed facilities worldwide, the ACRF does not fit the mold of a traditional user facility located at a national laboratory. The ACRF provides the world's most comprehensive 24/7 observational capabilities for obtaining atmospheric data specifically for climate change research. Serving nearly 5,000 registered users from 15 federal and state agencies, 375 universities, and 67 countries, the ACRF Data Archive collects and delivers over 5 terabytes of data per month to its users. The ACRF users provide critical information about cloud formation processes, water vapor, and aerosols, and their influence on radiative transfer in the atmosphere. This information is used to improve global climate model predictions of climate change.

  9. MIDWESTERN REGIONAL CENTER OF THE DOE NATIONAL INSTITUTE FOR CLIMATIC CHANGE RESEARCH

    SciTech Connect (OSTI)

    Burton, Andrew J.

    2014-02-28

    The goal of NICCR (National Institute for Climatic Change Research) was to mobilize university researchers, from all regions of the country, in support of the climatic change research objectives of DOE/BER. The NICCR Midwestern Regional Center (MRC) supported work in the following states: North Dakota, South Dakota, Nebraska, Kansas, Oklahoma, Minnesota, Iowa, Missouri, Wisconsin, Illinois, Michigan, Indiana, and Ohio. The MRC of NICCR was able to support nearly $8 million in climatic change research, including $6,671,303 for twenty projects solicited and selected by the MRC over five requests for proposals (RFPs) and $1,051,666 for the final year of ten projects from the discontinued DOE NIGEC (National Institute for Global Environmental Change) program. The projects selected and funded by the MRC resulted in 135 peer-reviewed publications and supported the training of 25 PhD students and 23 Masters students. Another 36 publications were generated by the final year of continuing NIGEC projects supported by the MRC. The projects funded by the MRC used a variety of approaches to answer questions relevant to the DOE’s climate change research program. These included experiments that manipulated temperature, moisture and other global change factors; studies that sought to understand how the distribution of species and ecosystems might change under future climates; studies that used measurements and modeling to examine current ecosystem fluxes of energy and mass and those that would exist under future conditions; and studies that synthesized existing data sets to improve our understanding of the effects of climatic change on terrestrial ecosystems. In all of these efforts, the MRC specifically sought to identify and quantify responses of terrestrial ecosystems that were not well understood or not well modeled by current efforts. The MRC also sought to better understand and model important feedbacks between terrestrial ecosystems, atmospheric chemistry, and regional and global climate systems. The broad variety of projects the MRC has supported gave us a unique opportunity to greatly improve our ability to predict the future health, composition and function of important agricultural and natural terrestrial ecosystems within the Midwestern Region.

  10. Developing public awareness for climate change: Support from international research programs

    SciTech Connect (OSTI)

    Barnes, F.J.; Clements, W.E.

    1998-12-31

    Developing regional and local public awareness and interest in global climate change has been mandated as an important step for increasing the ability for setting policy and managing the response to climate change. Research programs frequently have resources that could help reach regional or national goals for increasing the capacity for responding to climate change. To obtain these resources and target recipients appropriately, research investigators need clear statements of national and regional strategies or priorities as a guide. One such program, the Atmospheric Radiation Measurement (ARM) Program, has a requirement to develop local or regional education enrichment programs at their observational sites in the central US, the tropical western Pacific (TWP), and on the north slope of alaska. ARM's scientific goals will result in a flow of technical data and as well as technical expertise that can assist with regional needs to increase the technical resources needed to address climate change issues. Details of the ARM education program in the Pacific will be presented.

  11. DOE/SC-ARM-12-023 ARM Climate Research Facility AnnuAl RepoRt - 2012

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2-023 ARM Climate Research Facility AnnuAl RepoRt - 2012 New Climate Measurement Sites h ?QOPQK?* ? * - " ?q " *"- ?l *?G qlH?b " * ?q ?e " "* ? ? - " ?*"-? "?- *"- ? "* Y? ? "? ql?l- " ?e " "* ? - ? ? * ? - *? *?n " *- K? K? ? ? "? ? "* ?- ?f "- ?h ? " ?* ? - M?? ? "? "* ? ? ?*-? ?- *"- ? ?* ? ?- ?QOPRK? ?* ?"" ? -" ? ql ? " *" ? "* ?- ? *? " * ?-

  12. New Climate Research Centers Forecast Changes and Challenges

    Broader source: Energy.gov [DOE]

    Two new observation stations -– in Alaska and the Azore islands -– should reduce uncertainties and improve global climate models.

  13. Building America Residential System Research Results: Achieving 30% Whole House Energy Savings Level in Marine Climates; January 2006 - December 2006

    SciTech Connect (OSTI)

    Building America Industrialized Housing Partnership; Building Industry Research Alliance; Building Science Consortium; Consortium for Advanced Residential Buildings; Davis Energy Group; IBACOS; National Association of Home Builders Research Center; National Renewable Energy Laboratory

    2006-12-01

    The Building America program conducts the system research required to reduce risks associated with the design and construction of homes that use an average of 30% to 90% less total energy for all residential energy uses than the Building America Research Benchmark, including research on homes that will use zero net energy on annual basis. To measure the program's progress, annual research milestones have been established for five major climate regions in the United States. The system research activities required to reach each milestone take from 3 to 5 years to complete and include research in individual test houses, studies in pre-production prototypes, and research studies with lead builders that provide early examples that the specified energy savings level can be successfully achieved on a production basis. This report summarizes research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in the Marine Climate Region on a cost neutral basis.

  14. The ARM Climate Research Facility: A Review of Structure and Capabilities

    SciTech Connect (OSTI)

    Mather, James H.; Voyles, Jimmy W.

    2013-03-01

    The Atmospheric Radiation Measurement (ARM) program (www.arm.gov) is a Department of Energy, Office of Science, climate research user facility that provides atmospheric observations from diverse climatic regimes around the world. Use of ARM data is free and available to anyone through the ARM data archive. ARM is approaching 20 years of operations. In recent years, the facility has grown to add two mobile facilities and an aerial facility to its network of fixed-location sites. Over the past year, ARM has enhanced its observational capabilities with a broad array of new instruments at its fixed and mobile sites and the aerial facility. Instruments include scanning millimeter- and centimeter-wavelength radars; water vapor, cloud/aerosol extinction, and Doppler lidars; a suite of aerosol instruments for measuring optical, physical, and chemical properties; instruments including eddy correlation systems to expand measurements of the surface and boundary layer; and aircraft probes for measuring cloud and aerosol properties. Taking full advantage of these instruments will involve the development of complex data products. This work is underway but will benefit from engagement with the broader scientific community. In this article we will describe the current status of the ARM program with an emphasis on developments over the past eight years since ARM was designated a DOE scientific user facility. We will also describe the new measurement capabilities and provide thoughts for how these new measurements can be used to serve the climate research community with an invitation to the community to engage in the development and use of these data products.

  15. NREL: Climate Neutral Research Campuses - Analyze Technology Options

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Analyze Technology Options An effective climate action plan follows a portfolio approach and addresses each energy sector on campus. This section outlines how various technology options would fit into a campus climate action plan and provides examples of how others have used these technologies. Links to definitions, technology basics, and references are also provided. Use the Climate Action Planning Tool to identify which options will lead to the most significant reductions in consumption of

  16. UAVs in climate research: The ARM Unmanned Aerospace Vehicle Program

    SciTech Connect (OSTI)

    Bolton, W.R.

    1994-05-01

    In the last year, a Department of Energy/Strategic Environmental Research and Development Program project known as ``ARM-UAV`` has made important progress in developing and demonstrating the utility of unmanned aerospace vehicles as platforms for scientific measurements. Recent accomplishments include a series of flights using an atmospheric research payload carried by a General Atomics Gnat UAV at Edwards AFB, California, and over ground instruments located in north-central Oklahoma. The reminder of this discussion will provide background on the program and describe the recent flights.

  17. Biological and Environmental Research: Climate and Environmental Sciences Division: U.S./European Workshop on Climate Change Challenges and Observations

    SciTech Connect (OSTI)

    Mather, James; McCord, Raymond; Sisterson, Doug; Voyles, Jimmy

    2012-11-08

    The workshop aimed to identify outstanding climate change science questions and the observational strategies for addressing them. The scientific focus was clouds, aerosols, and precipitation, and the required ground- and aerial-based observations. The workshop findings will be useful input for setting priorities within the Department of Energy (DOE) and the participating European centers. This joint workshop was envisioned as the first step in enhancing the collaboration among these climate research activities needed to better serve the science community.

  18. ARM Climate Research Facility Quarterly Value-Added Product Report January 1–March 30, 2011

    SciTech Connect (OSTI)

    Sivaraman, C

    2011-06-14

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, and (3) future VAPs that have been recently approved.

  19. "Rolling Stone" covers climate change research at Los Alamos Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Rolling Stone" covers climate change research at Los Alamos Lab "Rolling Stone" covers climate change research at Los Alamos Lab By the end of the century, the woodlands of the Southwest will likely be reduced to weeds and shrubs. And scientists worry that the rest of the planet may see similar effects. March 26, 2015 image description The Fate of Trees: How Climate Change May Alter Forests Worldwide is focus of article in Rolling Stone magazine The Fate of Trees: How Climate

  20. DOE Scientists Contribute to 2007 Nobel Peace Prize Research about Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Change DOE Scientists Contribute to 2007 Nobel Peace Prize about Climate Change Resources with Additional Information * Climate Change Research at Labs Documents * Additional Web Pages IPCC poster graphic showing the path to to the Nobel Peace Prize Credit: NOAA Poster, Will von Dauster The 2007 Nobel Peace Prize reflects an importance of climate change science, which, while not quite meeting the criteria for inclusion in DOE R&D Accomplishments, is extremely noteworthy and is a credit

  1. (Rain)cloud computing: Researchers work to improve how we predict climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    change | Argonne National Laboratory (Rain)cloud computing: Researchers work to improve how we predict climate change By Louise Lerner * March 3, 2016 Tweet EmailPrint Rao Kotamarthi and Jiali Wang spend their days looking at a future Earth. At the U.S. Department of Energy's (DOE's) Argonne National Laboratory, the two scientists work on simulations and techniques to project what the climate will look like 100 years from now. Last year, they completed the highest resolution climate forecast

  2. Department of Energy Announces $7 Million in Funding for Climate Research

    Energy Savers [EERE]

    Field Studies | Department of Energy 7 Million in Funding for Climate Research Field Studies Department of Energy Announces $7 Million in Funding for Climate Research Field Studies October 23, 2008 - 4:14pm Addthis -- A Cloud is a Cloud is a Cloud - or is it? -- WASHINGTON, DC -- The U.S. Department of Energy's (DOE) Office of Science has selected four proposals with a total funding of $7 million, to conduct climate research field studies in 2010. Together, these field studies will obtain

  3. Climate Change Mitigation Through Land-Use Measures in the Agriculture...

    Open Energy Info (EERE)

    and Forestry Sectors Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Climate Change Mitigation Through Land-Use Measures in the Agriculture and Forestry...

  4. Climate Models from the Joint Global Change Research Institute

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Staff at the Joint Institute develop and use models to simulate the economic and physical impacts of global change policy options. The GCAM, for example, gives analysts insight into how regional and national economies might respond to climate change mitigation policies including carbon taxes, carbon trading, and accelerated deployment of energy technology. Three available models are Phoenix, GCAM, and EPIC. Phoenix is a global, dynamic recursive, computable general equilibrium model that is solved in five-year time steps from 2005 through 2100 and divides the world into twenty-four regions. Each region includes twenty-six industrial sectors. Particular attention is paid to energy production in Phoenix. There are nine electricity-generating technologies (coal, natural gas, oil, biomass, nuclear, hydro, wind, solar, and geothermal) and four additional energy commodities: crude oil, refined oil products, coal, and natural gas. Phoenix is designed to answer economic questions related to international climate and energy policy and international trade. Phoenix replaces the Second Generation Model (SGM) that was formerly used for general equilibrium analysis at JGCRI. GCAM is the Global Change Assessment Model, a partial equilibrium model of the world with 14 regions. GCAM operates in 5 year time steps from 1990 to 2095 and is designed to examine long-term changes in the coupled energy, agriculture/land-use, and climate system. GCAM includes a 151-region agriculture land-use module and a reduced form carbon cycle and climate module in addition to its incorporation of demographics, resources, energy production and consumption. The model has been used extensively in a number of assessment and modeling activities such as the Energy Modeling Forum (EMF), the U.S. Climate Change Technology Program, and the U.S. Climate Change Science Program and IPCC assessment reports. GCAM is now freely available as a community model. The Environmental Policy Integrated Climate (EPIC) Model is a process-based agricultural systems model composed of simulation components for weather, hydrology, nutrient cycling, pesticide fate, tillage, crop growth, soil erosion, crop and soil management and economics. Staff at PNNL have been involved in the development of this model by integrating new sub-models for soil carbon dynamics and nitrogen cycling.

  5. DOE/SC-ARM-12-006 ARM Climate Research Facility Radar Operations...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 ARM Climate Research Facility Radar Operations Plan May 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States...

  6. DOE/SC-ARM-14-024 ARM Climate Research Facility Data Management...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 ARM Climate Research Facility Data Management Facility Quarterly Report NN Keck July 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S....

  7. DOE/SC-ARM-15-007 ARM Climate Research Facility Data Management...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 ARM Climate Research Facility Data Management Facility Quarterly Report NN Keck January 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S....

  8. DOE/SC-ARM-14-031 ARM Climate Research Facility Data Management...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 ARM Climate Research Facility Data Management Facility Quarterly Report NN Keck September 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S....

  9. 2007 Diesel Particulate Measurement Research (E-66 Project) ...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Diesel Particulate Measurement Research (E-66 Project) 2007 Diesel Particulate Measurement Research (E-66 Project) 2004 Diesel Engine Emissions Reduction (DEER) Conference:...

  10. Cloud Occurrence Frequency at the Barrow, Alaska, ARM Climate Research Facility for 2008 Third Quarter 2009 ARM and Climate Change Prediction Program Metric Report

    SciTech Connect (OSTI)

    M Jensen; K Johnson; JH Mather

    2009-07-14

    Clouds represent a critical component of the Earth’s atmospheric energy balance as a result of their interactions with solar and terrestrial radiation and a redistribution of heat through convective processes and latent heating. Despite their importance, clouds and the processes that control their development, evolution and lifecycle remain poorly understood. Consequently, the simulation of clouds and their associated feedbacks is a primary source of inter-model differences in equilibrium climate sensitivity. An important step in improving the representation of cloud process simulations is an improved high-resolution observational data set of the cloud systems including their time evolution. The first order quantity needed to understand the important role of clouds is the height of cloud occurrence and how it changes as a function of time. To this end, the Atmospheric Radiation Measurement (ARM) Climate Research Facilities (ACRF) suite of instrumentation has been developed to make the observations required to improve the representation of cloud systems in atmospheric models.

  11. Department of Energy’s ARM Climate Research Facility External Data Center Operations Plan Located At Brookhaven National Laboratory

    SciTech Connect (OSTI)

    Cialella, A.; Gregory, L.; Lazar, K.; Liang, M.; Ma, L.; Tilp, A.; Wagener, R.

    2015-05-01

    The External Data Center (XDC) Operations Plan describes the activities performed to manage the XDC, located at Brookhaven National Laboratory (BNL), for the Department of Energy’s Atmospheric Radiation Measurement (ARM) Climate Research Facility. It includes all ARM infrastructure activities performed by the Data Management and Software Engineering Group (DMSE) at BNL. This plan establishes a baseline of expectation within the ARM Operations Management for the group managing the XDC.

  12. ARM Climate Research Facility Quarterly Value-Added Product Report First Quarter: October 01-December 31, 2011

    SciTech Connect (OSTI)

    Sivaraman, C

    2012-02-28

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement (ARM) Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, (3) future VAPs that have been recently approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive.

  13. ARM Climate Research Facility Quarterly Value-Added Product Report Fourth Quarter: July 1–September 30, 2012

    SciTech Connect (OSTI)

    Sivaraman, C

    2012-11-13

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement (ARM) Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, (3) future VAPs that have been recently approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive.

  14. ARM Climate Research Facility Quarterly Value-Added Product Report Third Quarter: April 01–June 30, 2011

    SciTech Connect (OSTI)

    Sivaraman, C

    2011-08-18

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, (3) future VAPs that have been recently approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive

  15. COLLABORATIVE RESEARCH: TOWARDS ADVANCED UNDERSTANDING AND PREDICTIVE CAPABILITY OF CLIMATE CHANGE IN THE ARCTIC USING A HIGH-RESOLUTION REGIONAL ARCTIC CLIMATE SYSTEM MODEL

    SciTech Connect (OSTI)

    Gutowski, William J.

    2013-02-07

    The motivation for this project was to advance the science of climate change and prediction in the Arctic region. Its primary goals were to (i) develop a state-of-the-art Regional Arctic Climate system Model (RACM) including high-resolution atmosphere, land, ocean, sea ice and land hydrology components and (ii) to perform extended numerical experiments using high performance computers to minimize uncertainties and fundamentally improve current predictions of climate change in the northern polar regions. These goals were realized first through evaluation studies of climate system components via one-way coupling experiments. Simulations were then used to examine the effects of advancements in climate component systems on their representation of main physics, time-mean fields and to understand variability signals at scales over many years. As such this research directly addressed some of the major science objectives of the BER Climate Change Research Division (CCRD) regarding the advancement of long-term climate prediction.

  16. Climate Research Roadmap Workshop: Summary Report, May 13-14, 2010

    SciTech Connect (OSTI)

    2010-09-01

    In recognition of the ongoing advances and challenges of climate change research, DOE's Office of Biological and Environmental Research (BER) organized a workshop asking the scientific community to identify the current state of climate science. The goal of the workshop was to determine the research challenges important for developing a predictive understanding of global climate. Participants were asked to focus on interdisciplinary research that capitalized on BER's scientific strengths in Atmospheric System Research, Terrestrial Ecosystem Science, and Climate and Earth System Modeling. Approximately 50 scientists representing these three areas were asked to identify desired outcomes for the next 10 years. Goals were identified for the near (1--3 years), mid (4--7 years), and long term (8--10 years). Discussions were focused by discipline (atmospheric, terrestrial, and modeling) and by latitude (high, temperate, and tropical). In addition, opportunities and needs for integration across disciplines and latitudes were identified with a specific focus on crosscutting challenges and outcomes. BER will use this workshop output to update its strategic plan for climate research.

  17. Light-absorbing Particles in Snow and Ice: Measurement and Modeling of Climatic and Hydrological Impact

    SciTech Connect (OSTI)

    Qian, Yun; Yasunari, Teppei J.; Doherty, Sarah J.; Flanner, M. G.; Lau, William K.; Ming, J.; Wang, Hailong; Wang, Mo; Warren, Stephen G.; Zhang, Rudong

    2015-01-01

    Light absorbing particles (LAP, e.g., black carbon, brown carbon, and dust) influence water and energy budgets of the atmosphere and snowpack in multiple ways. In addition to their effects associated with atmospheric heating by absorption of solar radiation and interactions with clouds, LAP in snow on land and ice can reduce the surface reflectance (a.k.a., surface darkening), which is likely to accelerate the snow aging process and further reduces snow albedo and increases the speed of snowpack melt. LAP in snow and ice (LAPSI) has been identified as one of major forcings affecting climate change, e.g. in the fourth and fifth assessment reports of IPCC. However, the uncertainty level in quantifying this effect remains very high. In this review paper, we document various technical methods of measuring LAPSI and review the progress made in measuring the LAPSI in Arctic, Tibetan Plateau and other mid-latitude regions. We also report the progress in modeling the mass concentrations, albedo reduction, radiative forcing, andclimatic and hydrological impact of LAPSI at global and regional scales. Finally we identify some research needs for reducing the uncertainties in the impact of LAPSI on global and regional climate and the hydrological cycle.

  18. Western Regional Center of the National Institute for Climatic Change Research

    SciTech Connect (OSTI)

    Hungate, Bruce A.

    2013-05-02

    The major goal of this project was fostering, integrating, synthesizing, and disseminating experimental, observational, and modeling research on predicted climate change in the western region of the U.S. and the impacts of that change on the structure, productivity, and climatic interactions of the region's natural and managed ecological systems. This was accomplished through administering a competitive grants program developed in collaboration with the other four regional centers of the NICCR. The activities supported included efforts to synthesize research on climate change in the western U.S. through meta-analysis studies, model comparisons, and data synthesis workshops. Results from this work were disseminated to the scientific and public media. This project also supported the development of the NICCR web site, hosted at NAU, which was used as the means to accept pre-proposal and proposal submissions for each funding cycle, and served as a clearing house for public outreach for results from NICCR-funded research

  19. Sandia Energy - CRF Researchers Measure Reaction Rates of Second...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Measure Reaction Rates of Second Key Atmospheric Component Researchers at Sandia's Combustion Research Facility, the University of Manchester, Bristol University, University of...

  20. Perspective: The Climate-Population-Infrastructure Modeling and Simulation Fertile Area for New Research

    SciTech Connect (OSTI)

    Allen, Melissa R; Fernandez, Steven J; Walker, Kimberly A; Fu, Joshua S

    2014-01-01

    Managing the risks posed by climate change and extreme weather to energy production and delivery is a challenge to communities worldwide. As climate conditions change, populations will shift, and demand will re-locate; and networked infrastructures will evolve to accommodate new load centers, and, hopefully, minimize vulnerability to natural disaster. Climate effects such as sea level rise, increased frequency and intensity of natural disasters, force populations to move locations. Displaced population creates new demand for built infrastructure that in turn generates new economic activity that attracts new workers and associated households to the new locations. Infrastructures and their interdependencies will change in reaction to climate drivers as the networks expand into new population areas and as portions of the networks are abandoned as people leave. Thus, infrastructures will evolve to accommodate new load centers while some parts of the network are underused, and these changes will create emerging vulnerabilities. Forecasting the location of these vulnerabilities by combining climate predictions and agent based population movement models shows promise for defining these future population distributions and changes in coastal infrastructure configurations. By combining climate and weather data, engineering algorithms and social theory it has been only recently possible to examine electricity demand response to increased climactic temperatures, population relocation in response to extreme cyclonic events, consequent net population changes and new regional patterns in electricity demand. These emerging results suggest a research agenda of coupling these disparate modelling approaches to understand the implications of climate change for protecting the nation s critical infrastructure.

  1. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Research Facility located near Lamont, Oklahoma. Measurements from ARM Raman lidar and Doppler radar instruments were used to both initialize and evaluate the model. A...

  2. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    percent confidence intervals calculated from instrument uptime are given by the grey boundaries. The Atmospheric Radiation Measurement (ARM) Climate Research Facility has...

  3. Building America Residential System Research Results: Achieving 30% Whole House Energy Savings Level in Mixed-Humid Climates; January 2006 - December 2006

    SciTech Connect (OSTI)

    Building America Industrialized Housing Partnership; Building Industry Research Alliance; Building Science Consortium; Consortium for Advanced Residential Buildings; Davis Energy Group; IBACOS; National Association of Home Builders Research Center; National Renewable Energy Laboratory

    2006-12-01

    The Building America program conducts the system research required to reduce risks associated with the design and construction of homes that use an average of 30% to 90% less total energy for all residential energy uses than the Building America Research Benchmark, including research on homes that will use zero net energy on annual basis. To measure the program's progress, annual research milestones have been established for five major climate regions in the United States. The system research activities required to reach each milestone take from 3 to 5 years to complete and include research in individual test houses, studies in pre-production prototypes, and research studies with lead builders that provide early examples that the specified energy savings level can be successfully achieved on a production basis. This report summarizes research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in the Mixed-Humid Climate Region on a cost-neutral basis.

  4. Measure Guideline: Supplemental Dehumidification in Warm-Humid Climates

    SciTech Connect (OSTI)

    Rudd, A.

    2014-10-01

    This document covers a description of the need and applied solutions for supplemental dehumidification in warm-humid climates, especially for energy efficient homes where the sensible cooling load has been dramatically reduced. In older homes in warm-humid climates, cooling loads are typically high and cooling equipment runs a lot to cool the air. The cooling process also removes indoor moisture, reducing indoor relative humidity. However, at current residential code levels, and especially for above-code programs, sensible cooling loads have been so dramatically reduced that the cooling system does not run a lot to cool the air, resulting in much less moisture being removed. In these new homes, cooling equipment is off for much longer periods of time especially during spring/fall seasons, summer shoulder months, rainy periods, some summer nights, and some winter days. In warm-humid climates, those long off periods allow indoor humidity to become elevated due to internally generated moisture and ventilation air change. Elevated indoor relative humidity impacts comfort, indoor air quality, and building material durability. Industry is responding with supplemental dehumidification options, but that effort is really in its infancy regarding year-round humidity control in low-energy homes. Available supplemental humidity control options are discussed. Some options are less expensive but may not control indoor humidity as well as more expensive and comprehensive options. The best performing option is one that avoids overcooling and avoids adding unnecessary heat to the space by using waste heat from the cooling system to reheat the cooled and dehumidified air to room-neutral temperature.

  5. Measure Guideline: Supplemental Dehumidification in Warm-Humid Climates

    SciTech Connect (OSTI)

    Rudd, Armin

    2014-10-01

    This document covers a description of the need and applied solutions for supplemental dehumidification in warm-humid climates, especially for energy efficient homes where the sensible cooling load has been dramatically reduced. Cooling loads are typically high and cooling equipment runs a lot to cool the air in older homes in warm-humid climates. The cooling process also removes indoor moisture, reducing indoor relative humidity. However, at current residential code levels, and especially for above-code programs, sensible cooling loads have been so dramatically reduced that the cooling system does not run a lot to cool the air, resulting in much less moisture being removed. In these new homes, cooling equipment is off for much longer periods of time especially during spring/fall seasons, summer shoulder months, rainy periods, some summer nights, and winter days. In warm-humid climates, those long-off periods allow indoor humidity to become elevated due to internally generated moisture and ventilation air change. Elevated indoor relative humidity impacts comfort, indoor air quality, and building material durability. Industry is responding with supplemental dehumidification options, but that effort is really in its infancy regarding year-round humidity control in low-energy homes. Available supplemental humidity control options are discussed. Some options are less expensive but may not control indoor humidity as well as more expensive and comprehensive options. The best performing option is one that avoids overcooling and adding unnecessary heat to the space by using waste heat from the cooling system to reheat the cooled and dehumidified air to room-neutral temperature.

  6. NREL: Measurements and Characterization - Research Staff

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Vince Bollinger Anna Duda Ken Johnson Marc Landry Keith Layton Kevin O'Neill Steve Robbins Jeremy Webb Robert White Danny Yerks Printable Version Measurements &...

  7. Collaborative Research. Quantifying Climate Feedbacks of the Terrestrial Biosphere under Thawing Permafrost Conditions in the Arctic

    SciTech Connect (OSTI)

    Zhuang, Qianlai; Schlosser, Courtney; Melillo, Jerry; Walter, Katey

    2015-09-15

    Our overall goal is to quantify the potential for threshold changes in natural emission rates of trace gases, particularly methane and carbon dioxide, from pan-arctic terrestrial systems under the spectrum of anthropogenically-forced climate warming, and the conditions under which these emissions provide a strong feedback mechanism to global climate warming. This goal is motivated under the premise that polar amplification of global climate warming will induce widespread thaw and degradation of the permafrost, and would thus cause substantial changes to the landscape of wetlands and lakes, especially thermokarst (thaw) lakes, across the Arctic. Through a suite of numerical experiments that encapsulate the fundamental processes governing methane emissions and carbon exchanges – as well as their coupling to the global climate system - we intend to test the following hypothesis in the proposed research: There exists a climate warming threshold beyond which permafrost degradation becomes widespread and stimulates large increases in methane emissions (via thermokarst lakes and poorly-drained wetland areas upon thawing permafrost along with microbial metabolic responses to higher temperatures) and increases in carbon dioxide emissions from well-drained areas. Besides changes in biogeochemistry, this threshold will also influence global energy dynamics through effects on surface albedo, evapotranspiration and water vapor. These changes would outweigh any increased uptake of carbon (e.g. from peatlands and higher plant photosynthesis) and would result in a strong, positive feedback to global climate warming.

  8. Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SunShot Grand Challenge: Regional Test Centers Climate Home/Tag:Climate - Electricity use by water service sector and county. Shown are electricity use by (a) large-scale conveyance, (b) groundwater irrigation pumping, (c) surface water irrigation pumping, (d) drinking water, and (e) wastewater. Aggregate electricity use across these sectors (f) is also mapped. Permalink Gallery Sandians Recognized in Environmental Science & Technology's Best Paper Competition Analysis, Capabilities,

  9. FACT SHEET U.S. Department of Energy Atmospheric Radiation Measurement...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Radiation Measurement Climate Research Facility The Atmospheric Radiation Measurement (ARM) Climate Research Facility is a key component of the U.S. Department of ...

  10. 2011 Raditation & Climate Gordon Research Conference (July 10-15 2011- Colby College, Waterville, Maine)

    SciTech Connect (OSTI)

    Prof. Max Hoggblom

    2012-02-09

    The 2011 Gordon Research Conference on Radiation and Climate will present cutting-edge research on outstanding issues in climate change, particularly those in which the interactions between clouds, aerosols, and precipitation play a major role. The Conference will feature a broad range of topics, including grand challenges in atmospheric radiation and climate, cloud and water vapor feedbacks, aerosol-cloud-precipitation-climate interactions across scales, new approaches for remote sensing and in-situ observations of clouds, aerosols and precipitation, and multi-scale modeling challenges. The invited speakers will present the most important recent advances and future challenges in these areas. The Conference will bring together a collection of leading investigators who are at the forefront of their field, and will provide opportunities for scientists, especially junior scientists and graduate students, to present their work in poster format and exchange ideas with leaders in the field. The collegial atmosphere of this Conference, with programmed discussion sessions as well as opportunities for informal gatherings in the afternoons and evenings, provides an avenue for scientists from different disciplines to brainstorm and promotes cross-disciplinary collaborations in the various research areas represented.

  11. A Decade of Atmospheric Research in the Tropical Western Pacific...

    Office of Science (SC) Website

    The Atmospheric Radiation Measurement (ARM) Climate Research Facility has three user ... The Science The Department of Energy's Atmospheric Radiation Measurement (ARM) Climate ...

  12. ARM Climate Research Facility Quarterly Value-Added Product Report Fourth Quarter: July 01–September 30, 2011

    SciTech Connect (OSTI)

    Sivaraman, C

    2011-11-02

    The purpose of this report is to provide a concise status update for value-added products (VAP) implemented by the Atmospheric Radiation Measurement Climate Research Facility. The report is divided into the following sections: (1) new VAPs for which development has begun, (2) progress on existing VAPs, (3) future VAPs that have been recently approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive. New information is highlighted in blue text. New information about processed data by the developer is highlighted in red text.

  13. Research project on CO{sub 2}-induced climate change. Annual progress report, March 1, 1994--February 28, 1995

    SciTech Connect (OSTI)

    Cess, R.D.; Hameed, S.

    1995-01-01

    This summarizes current progress in the research project at SUNY Stony Brook on CO2-induced climate change. Three tasks are described, corresponding to the task categories in the USDOE/PRC CAS cooperative project on climate change. Task 1, led by Dr. Robert Cess, concerns the intercomparison of CO2 related climatic warming in contemporary general circulation models. Task 2, directed by Dr. Sultan Hameed, looks at understanding the natural variability in climatic data and comparing its significant features between observations and model simulations. Task 3, also directed by Dr. Hameed focuses on analysis of historical climate data developed at the institute of Geography of the Chinese Academy of Sciences.

  14. Collaborative Research: Robust Climate Projections and Stochastic Stability of Dynamical Systems

    SciTech Connect (OSTI)

    Ghil, Michael; McWilliams, James; Neelin, J. David; Zaliapin, Ilya; Chekroun, Mickael; Kondrashov, Dmitri; Simonnet, Eric

    2011-10-13

    The project was completed along the lines of the original proposal, with additional elements arising as new results were obtained. The originally proposed three thrusts were expanded to include an additional, fourth one. (i) The e#11;ffects of stochastic perturbations on climate models have been examined at the fundamental level by using the theory of deterministic and random dynamical systems, in both #12;nite and in#12;nite dimensions. (ii) The theoretical results have been implemented #12;first on a delay-diff#11;erential equation (DDE) model of the El-Nino/Southern-Oscillation (ENSO) phenomenon. (iii) More detailed, physical aspects of model robustness have been considered, as proposed, within the stripped-down ICTP-AGCM (formerly SPEEDY) climate model. This aspect of the research has been complemented by both observational and intermediate-model aspects of mid-latitude and tropical climate. (iv) An additional thrust of the research relied on new and unexpected results of (i) and involved reduced-modeling strategies and associated prediction aspects have been tested within the team's empirical model reduction (EMR) framework. Finally, more detailed, physical aspects have been considered within the stripped-down SPEEDY climate model. The results of each of these four complementary e#11;fforts are presented in the next four sections, organized by topic and by the team members concentrating on the topic under discussion.

  15. Background radiation measurements at high power research reactors (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect Background radiation measurements at high power research reactors Citation Details In-Document Search This content will become publicly available on October 23, 2016 Title: Background radiation measurements at high power research reactors Research reactors host a wide range of activities that make use of the intense neutron fluxes generated at these facilities. Recent interest in performing measurements with relatively low event rates, e.g. reactor antineutrino

  16. Sandia Researchers Are First to Measure Thermoelectric Behavior of a

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nanoporous Metal-Organic Framework Are First to Measure Thermoelectric Behavior of a Nanoporous Metal-Organic Framework - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power &

  17. A new scenario framework for Climate Change Research: Scenario matrix architecture

    SciTech Connect (OSTI)

    Van Vuuren, Detlef; Kriegler, Elmar; O'Neill, Brian; Ebi, Kristie L.; Riahi, Keywan; Carter, Tim; Edmonds, James A.; Hallegatte, Stephane; Kram, Tom; Mathur, Ritu; Winkler, Harald

    2014-02-01

    In this paper, we present the scenario matrix architecture as part of the new scenario framework for climate change research. The matrix architecture focuses on a key question of current climate research, namely the identification of trade-offs and synergies (in terms of risks, costs and other consequences) of different adaptation and mitigation strategies. The framework has two main axes: 1) the level of forcing (as represented by the RCPs) and 2) different socio-economic reference pathways. The matrix can be used as a tool to guide new scenario development and analytical analysis. It can also be used as a heuristic tool for classifying new and existing scenarios for assessment. Key elements of the architecture, in particular the shared socio-economic reference pathways and the shared policy assumptions, are elaborated in other papers in this special issue.

  18. Update on 2007 Diesel Particulate Measurement Research | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy 2007 Diesel Particulate Measurement Research Update on 2007 Diesel Particulate Measurement Research 2005 Diesel Engine Emissions Reduction (DEER) Conference Presentations and Posters PDF icon 2005_deer_shimpi.pdf More Documents & Publications Real-Time Measurement of Diesel Trap Efficiency Mass Correlation of Engine Emissions with Spectral Instruments Real-Time Particulate Mass Measurements Pre and Post Diesel Particulate Filters for LIght-Duty Diesel Vehicles

  19. DOE/SC-ARM-10-006.2 ARM Climate Research Facility Instrumentation Status and Information

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 ARM Climate Research Facility Instrumentation Status and Information JW Voyles February 2010 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  20. DOE/SC-ARM-10-006.4 ARM Climate Research Facility Instrumentation Status and Information

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 ARM Climate Research Facility Instrumentation Status and Information JW Voyles April 2010 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not

  1. DOE/SC-ARM-13-004 Charter for the ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 Charter for the ARM Climate Research Facility Science Board March 2013 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately

  2. DOE/SC-ARM-14-015 ARM Climate Research Facility DMF Quarterly Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 ARM Climate Research Facility DMF Quarterly Report NN Keck April 2014 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned

  3. Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  4. Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  5. Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  6. Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  7. Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic Using a High-Resolution Regional Arctic Climate Model

    SciTech Connect (OSTI)

    Cassano, John

    2013-06-30

    The primary research task completed for this project was the development of the Regional Arctic Climate Model (RACM). This involved coupling existing atmosphere, ocean, sea ice, and land models using the National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM) coupler (CPL7). RACM is based on the Weather Research and Forecasting (WRF) atmospheric model, the Parallel Ocean Program (POP) ocean model, the CICE sea ice model, and the Variable Infiltration Capacity (VIC) land model. A secondary research task for this project was testing and evaluation of WRF for climate-scale simulations on the large pan-Arctic model domain used in RACM. This involved identification of a preferred set of model physical parameterizations for use in our coupled RACM simulations and documenting any atmospheric biases present in RACM.

  8. A new scenario framework for climate change research: background, process, and future directions

    SciTech Connect (OSTI)

    Ebi, Kristie L.; Hallegatte, Stephane; Kram, Tom; Arnell, Nigel; Carter, Tim; Edmonds, James A.; Kriegler, Elmar; Mathur, Ritu; O'Neill, Brian; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef; Zwickel, Timm

    2014-02-01

    The scientific community is developing new integrated global, regional, and sectoral scenarios to facilitate interdisciplinary research and assessment to explore the range of possible future climates and related physical changes could pose to human and natural systems; how these could interact with social, economic, and environmental development pathways; the degree to which mitigation and adaptation policies can avoid and reduce those risks; the costs and benefits of various policy mixes; residual impacts under alternative pathways; and the relationship with sustainable development. This paper provides the background to, and process of, developing the conceptual framework for these scenarios, described in three other papers in this Special Issue (van Vuuren et al.; O'Neill et al.; Kriegler et al.). The paper also discusses research needs to further develop and apply this framework. The goal is to encourage climate change researchers from a broad range of perspectives and disciplines to work together to develop policy-relevant scenarios and explore the implications of different possible futures for the challenges and opportunities human and natural systems could face with increasing climate change.

  9. DOE/SC-ARM-10-032 ARM Climate Research Facility...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... the edge of the Arctic Ocean. Each site operates advanced measurement systems on a continuous basis to provide high-quality research data sets. The current generation of ...

  10. DOE/SC-ARM-11-024 ARM Climate Research Facility ANNUAL REPORT...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... the edge of the Arctic Ocean. Each site operates advanced measurement systems on a continuous basis to provide high-quality research data sets. Te current generation of ...

  11. Final Scientific/Technical Report: National Institute for Climatic Change Research Coastal Center

    SciTech Connect (OSTI)

    Tornqvist, Torbjorn; Chambers, Jeffrey

    2014-01-07

    It is widely recognized that coastal environments are under particular threat due to changes associated with climate change. Accelerated sea-level rise, in some regions augmented by land subsidence, plus the possibility of a changing storm climate, renders low-lying coastal landscapes and their ecosystems vulnerable to future change. This is a pressing problem, because these ecosystems commonly rank as some of the most valuable on the planet. The objective of the NICCR Coastal Center was to support basic research that aims at reducing uncertainty about ecosystem changes during the next century, carried out along the U.S. coastlines. The NICCR Coastal Center has funded 20 projects nationwide (carried out at 27 institutions) that addressed numerous aspects of the problems outlined above. The research has led to a variety of new insights, a significant number of which published in elite scientific journals. It is anticipated that the dissemination of this work in the scientific literature will continue for several more years, given that a number of projects have only recently reached their end date. In addition, NICCR funds have been used to support research at Tulane University. The lion’s share of these funds has been invested in the development of unique facilities for experimental research in coastal ecosystems. This aspect of the work could have a lasting impact in the future.

  12. Building America Residential System Research Results: Achieving 30% Whole House Energy Savings Level in Marine Climates; January 2006 - December 2006

    SciTech Connect (OSTI)

    Anderson, R.; Hendron, R.; Eastment, M.; Jalalzadeh-Azar, A.

    2006-12-01

    This report summarizes research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in the Marine Climate Region on a cost-neutral basis.

  13. climate

    National Nuclear Security Administration (NNSA)

    p>

    The research appears in the Dec. 10 edition of the journal Nature.

  14. Climate Science for a Sustainable Energy Future Atmospheric Radiation Measurement Best Estimate (CSSEFARMBE)

    SciTech Connect (OSTI)

    Riihimaki, Laura D.; Gaustad, Krista L.; McFarlane, Sally A.

    2012-09-28

    The Climate Science for a Sustainable Energy Future (CSSEF) project is working to improve the representation of the hydrological cycle in global climate models, critical information necessary for decision-makers to respond appropriately to predictions of future climate. In order to accomplish this objective, CSSEF is building testbeds to implement uncertainty quantification (UQ) techniques to objectively calibrate and diagnose climate model parameterizations and predictions with respect to local, process-scale observations. In order to quantify the agreement between models and observations accurately, uncertainty estimates on these observations are needed. The DOE Atmospheric Radiation Measurement (ARM) program takes atmospheric and climate related measurements at three permanent locations worldwide. The ARM VAP called the ARM Best Estimate (ARMBE) [Xie et al., 2010] collects a subset of ARM observations, performs quality control checks, averages them to one hour temporal resolution, and puts them in a standard format for ease of use by climate modelers. ARMBE has been widely used by the climate modeling community as a summary product of many of the ARM observations. However, the ARMBE product does not include uncertainty estimates on the data values. Thus, to meet the objectives of the CSSEF project and enable better use of this data with UQ techniques, we created the CSSEFARMBE data set. Only a subset of the variables contained in ARMBE is included in CSSEFARMBE. Currently only surface meteorological observations are included, though this may be expanded to include other variables in the future. The CSSEFARMBE VAP is produced for all extended facilities at the ARM Southern Great Plains (SGP) site that contain surface meteorological equipment. This extension of the ARMBE data set to multiple facilities at SGP allows for better comparison between model grid boxes and the ARM point observations. In the future, CSSEFARMBE may also be created for other ARM sites. As each site has slightly different instrumentation, this will require additional development to understand the uncertainty characterization associated with instrumentation at those sites. The uncertainty assignment process is implemented into the ARM program’s new Integrated Software Development Environment (ISDE) so that many of the key steps can be used in the future to screen data based on ARM Data Quality Reports (DQRs), propagate uncertainties when transforming data from one time scale into another, and convert names and units into NetCDF Climate and Forecast (CF) standards. These processes are described in more detail in the following sections.

  15. Review of water, lighting, and cooling energy efficiency measures for low-income homes located in warm climates

    SciTech Connect (OSTI)

    Martin, M.A.; Gettings, M.B.

    1998-02-01

    In support of the U.S. Department of Energy`s Weatherization Assistance Program, Oak Ridge National Laboratory has performed a literature review of weatherization measures applicable for homes located in warm climate regions. Sources for this information included: (1) documented engineering estimates, (2) vendor information, (3) reported performance from research and field tests, and (4) direct discussions with researchers, vendors, and field reporters. Estimated savings are extrapolated from reported energy savings and applied to the end-use energy consumption for low-income homes reported by the Energy Information Administration. Additionally, installation costs, savings-to-investment ratios, and parameters indicating performance sensitivity to issues such as occupancy, construction, client education, and maintenance requirements are presented. The report is comprised of two sections: (1) an overview of measure performance, and (2) an appendix. The overview of measures is in a tabular format, which allows for quick reference. More detailed discussions and references for each measure are presented in the Appendix and it is highly recommended that these be reviewed prior to measure selection.

  16. Department of Energy Announces $7 Million in Funding for Climate...

    Broader source: Energy.gov (indexed) [DOE]

    Through these field studies, scientists in DOE's Atmospheric RadiationMeasurement (ARM) ... ARM Climate Research Facility, view the Atmospheric Radiation Measurement Program website. ...

  17. ARM Data Help Improve Precipitation in Global Climate Models...

    Office of Science (SC) Website

    Image courtesy of the Atmospheric Radiation Measurement (ARM) Climate Research Facility ... of Graciosa Island where Atmospheric Radiation Measurement observations were collected ...

  18. Measuring the Economic Impacts of Federal Investments in Research

    SciTech Connect (OSTI)

    Olson, S; Merrill, S

    2011-08-31

    Measuring the Economic Impacts of Federal Investments in Research evaluates approaches to measuring the returns on federal research investments. This report identifies new methodologies and metrics that can be developed and used for assessing returns on research across a wide range of fields (biomedical, information technology, energy, agriculture, environment, and other biological and physical sciences, etc.), while using one or more background papers that review current methodologies as a starting point for the discussion. It focuses on tools that are able to exploit available data in the relatively near term rather than on methodologies that may require substantial new data collection. Over the last several years, there has been a growing interest in policy circles in identifying the payoffs from federal agency research investments, especially in terms of economic growth, competitiveness, and jobs. The extraordinary increase in research expenditures under the American Recovery and Reinvestment Act (ARRA) of 2009 and the President'?s commitment to science and technology (S&T) funding increases going forward have heightened the need for measuring the impacts of research investments. Without a credible analysis of their outcomes, the recent and proposed increases in S&T funding may not be sustained, especially given competing claims for federal funding and pressures to reduce projected federal budget deficits. Motivated by these needs and requirements, Measuring the Economic Impacts of Federal Investments in Research reviews and discusses the use of quantitative and qualitative data to evaluate the returns on federal research and development (R&D) investments. Despite the job-focused mandate of the current ARRA reporting requirements, the impact of S&T funding extend well beyond employment. For instance, federal funding in energy research may lead to innovations that would reduce energy costs at the household level, energy imports at the national level, and greenhouse gas emissions at the global level. In principle, these benefits can be measured as a return on research investments, with appropriate consideration of time lags to research outcomes and attribution to private as well as public expenditure. With appropriate metrics, the same could be true for benefits to public health, environmental quality, and food productivity and security. Federal funding of research leads to the development of human capital that is deployed in a variety of occupations with economic and social impacts. Research also produces information that is used in formal (e.g., regulatory and judicial) and informal (e.g., firm and consumer) decision making processes. In addition to reviewing the range of work (by academics, consultants, and research agencies themselves) that has been done in measuring research outcomes and providing a forum to discuss their methods, this report also considers the different methodologies used across fields of research (e.g., agriculture and energy research) to identifies which are applicable to a range of federal S&T funding.

  19. Building America Residential System Research Results: Achieving 30% Whole House Energy Savings Level in the Hot-Dry and Mixed-Dry Climates

    SciTech Connect (OSTI)

    Building Industry Research Alliance; Building Science Consortium; Consortium for Advanced Residential Buildings; Davis Energy Group; Florida Solar Energy Center; IBACOS; National Association of Home Builders Research Center; National Renewable Energy Laboratory

    2006-01-01

    The Building America program conducts the system research required to reduce risks associated with the design and construction of homes that use an average of 30% to 90% less total energy for all residential energy uses than the Building America Research Benchmark, including research on homes that will use zero net energy on annual basis. To measure the program's progress, annual research milestones have been established for five major climate regions in the United States. The system research activities required to reach each milestone take from 3 to 5 years to complete and include research in individual test houses, studies in pre-production prototypes, and research studies with lead builders that provide early examples that the specified energy savings level can be successfully achieved on a production basis. This report summarizes research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in the Hot-Dry/Mixed-Dry Climate Region on a cost neutral basis.

  20. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

  1. Background radiation measurements at high power research reactors

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ashenfelter, J.; Yeh, M.; Balantekin, B.; Baldenegro, C. X.; Band, H. R.; Barclay, G.; Bass, C. D.; Berish, D.; Bowden, N. S.; Bryan, C. D.; et al

    2015-10-23

    Research reactors host a wide range of activities that make use of the intense neutron fluxes generated at these facilities. Recent interest in performing measurements with relatively low event rates, e.g. reactor antineutrino detection, at these facilities necessitates a detailed understanding of background radiation fields. Both reactor-correlated and naturally occurring background sources are potentially important, even at levels well below those of importance for typical activities. Here we describe a comprehensive series of background assessments at three high-power research reactors, including γ-ray, neutron, and muon measurements. For each facility we describe the characteristics and identify the sources of the backgroundmore » fields encountered. Furthermore, the general understanding gained of background production mechanisms and their relationship to facility features will prove valuable for the planning of any sensitive measurement conducted therein.« less

  2. Background radiation measurements at high power research reactors

    SciTech Connect (OSTI)

    Ashenfelter, J.; Yeh, M.; Balantekin, B.; Baldenegro, C. X.; Band, H. R.; Barclay, G.; Bass, C. D.; Berish, D.; Bowden, N. S.; Bryan, C. D.; Cherwinka, J. J.; Chu, R.; Classen, T.; Davee, D.; Dean, D.; Deichert, G.; Dolinski, M. J.; Dolph, J.; Dwyer, D. A.; Fan, S.; Gaison, J. K.; Galindo-Uribarri, A.; Gilje, K.; Glenn, A.; Green, M.; Han, K.; Hans, S.; Heeger, K. M.; Heffron, B.; Jaffe, D. E.; Kettell, S.; Langford, T. J.; Littlejohn, B. R.; Martinez, D.; McKeown, R. D.; Morrell, S.; Mueller, P. E.; Mumm, H. P.; Napolitano, J.; Norcini, D.; Pushin, D.; Romero, E.; Rosero, R.; Saldana, L.; Seilhan, B. S.; Sharma, R.; Stemen, N. T.; Surukuchi, P. T.; Thompson, S. J.; Varner, R. L.; Wang, W.; Watson, S. M.; White, B.; White, C.; Wilhelmi, J.; Williams, C.; Wise, T.; Yao, H.; Yen, Y. -R.; Zhang, C.; Zhang, X.

    2015-10-23

    Research reactors host a wide range of activities that make use of the intense neutron fluxes generated at these facilities. Recent interest in performing measurements with relatively low event rates, e.g. reactor antineutrino detection, at these facilities necessitates a detailed understanding of background radiation fields. Both reactor-correlated and naturally occurring background sources are potentially important, even at levels well below those of importance for typical activities. Here we describe a comprehensive series of background assessments at three high-power research reactors, including Îł-ray, neutron, and muon measurements. For each facility we describe the characteristics and identify the sources of the background fields encountered. Furthermore, the general understanding gained of background production mechanisms and their relationship to facility features will prove valuable for the planning of any sensitive measurement conducted therein.

  3. [Climate implications of terrestrial paleoclimate]. Quaternary Sciences Center, Desert Research Institute annual report, fiscal year 1994/1995

    SciTech Connect (OSTI)

    Wigand, P.E.

    1995-12-31

    The objective of this study is to collect terrestrial climate indicators for paleoclimate synthesis. The paleobiotic and geomorphic records are being examined for the local and regional impact of past climates to assess Yucca Mountain`s suitability as a high-level nuclear waste repository. In particular these data are being used to provide estimates of the timing, duration and extremes of past periods of moister climate for use in hydrological models of local and regional recharge that are being formulated by USGS and other hydrologists for the Yucca Mountain area. The project includes botanical, faunal, and geomorphic components that will be integrated to accomplish this goal. To this end personnel at the Quaternary Sciences Center of the Desert Research Institute in Reno, Nevada are conducting the following activities: Analyses of packrat middens; Analysis of pollen samples; and Determination of vegetation climate relationships.

  4. AmeriFlux Measurement Network: Science Team Research

    SciTech Connect (OSTI)

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  5. Long-term Observations of the Convective Boundary Layer Using Insect Radar Returns at the SGP ARM Climate Research Facility

    SciTech Connect (OSTI)

    Chandra, A S; Kollias, P; Giangrande, S E; Klein, S A

    2009-08-20

    A long-term study of the turbulent structure of the convective boundary layer (CBL) at the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) Climate Research Facility is presented. Doppler velocity measurements from insects occupying the lowest 2 km of the boundary layer during summer months are used to map the vertical velocity component in the CBL. The observations cover four summer periods (2004-08) and are classified into cloudy and clear boundary layer conditions. Profiles of vertical velocity variance, skewness, and mass flux are estimated to study the daytime evolution of the convective boundary layer during these conditions. A conditional sampling method is applied to the original Doppler velocity dataset to extract coherent vertical velocity structures and to examine plume dimension and contribution to the turbulent transport. Overall, the derived turbulent statistics are consistent with previous aircraft and lidar observations. The observations provide unique insight into the daytime evolution of the convective boundary layer and the role of increased cloudiness in the turbulent budget of the subcloud layer. Coherent structures (plumes-thermals) are found to be responsible for more than 80% of the total turbulent transport resolved by the cloud radar system. The extended dataset is suitable for evaluating boundary layer parameterizations and testing large-eddy simulations (LESs) for a variety of surface and cloud conditions.

  6. Measuring, Analyzing and Improving Airline Efficiency | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Measuring, Analyzing and Improving Airline Efficiency Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Measuring, Analyzing and Improving Airline Efficiency Michael Durling 2012.09.24 Hello - my name is Mike Durling. I manage the Supervisory Control & Systems Integration Lab at Global Research in Niskayuna, New York.

  7. DOE Final Report on Collaborative Research. Quantifying Climate Feedbacks of the Terrestrial Biosphere under Thawing Permafrost Conditions in the Arctic

    SciTech Connect (OSTI)

    Zhuang, Qianlai; Schlosser, C. Adam; Melillo, Jerry M.; Anthony, Katey Walter; Kicklighter, David; Gao, Xiang

    2015-11-03

    Our overall goal is to quantify the potential for threshold changes in natural emission rates of trace gases, particularly methane and carbon dioxide, from pan-arctic terrestrial systems under the spectrum of anthropogenically-forced climate warming, and the conditions under which these emissions provide a strong feedback mechanism to global climate warming. This goal is motivated under the premise that polar amplification of global climate warming will induce widespread thaw and degradation of the permafrost, and would thus cause substantial changes to the landscape of wetlands and lakes, especially thermokarst (thaw) lakes, across the Arctic. Through a suite of numerical experiments that encapsulate the fundamental processes governing methane emissions and carbon exchanges – as well as their coupling to the global climate system - we intend to test the following hypothesis in the proposed research: There exists a climate warming threshold beyond which permafrost degradation becomes widespread and stimulates large increases in methane emissions (via thermokarst lakes and poorly-drained wetland areas upon thawing permafrost along with microbial metabolic responses to higher temperatures) and increases in carbon dioxide emissions from well-drained areas. Besides changes in biogeochemistry, this threshold will also influence global energy dynamics through effects on surface albedo, evapotranspiration and water vapor. These changes would outweigh any increased uptake of carbon (e.g. from peatlands and higher plant photosynthesis) and would result in a strong, positive feedback to global climate warming.

  8. Subsurface Biogeochemical Research FY11 Second Quarter Performance Measure

    SciTech Connect (OSTI)

    Scheibe, Timothy D.

    2011-03-31

    The Subsurface Biogeochemical Research (SBR) Long Term Measure for 2011 under the Performance Assessment Rating Tool (PART) measure is to "Refine subsurface transport models by developing computational methods to link important processes impacting contaminant transport at smaller scales to the field scale." The second quarter performance measure is to "Provide a report on computational methods linking genome-enabled understanding of microbial metabolism with reactive transport models to describe processes impacting contaminant transport in the subsurface." Microorganisms such as bacteria are by definition small (typically on the order of a micron in size), and their behavior is controlled by their local biogeochemical environment (typically within a single pore or a biofilm on a grain surface, on the order of tens of microns in size). However, their metabolic activity exerts strong influence on the transport and fate of groundwater contaminants of significant concern at DOE sites, in contaminant plumes with spatial extents of meters to kilometers. This report describes progress and key findings from research aimed at integrating models of microbial metabolism based on genomic information (small scale) with models of contaminant fate and transport in aquifers (field scale).

  9. Our Changing Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Our Changing Climate Is our climate really changing? How do we measure climate change? How can we predict what Earth's climate will be like for generations to come? One focus of...

  10. DOE/SC-ARM-13-022 ARM Climate Research Facility The U.S. Department...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... The major "pumps" for the global ocean currents are at high latitudes, and there is good reason to believe that those pumps will be affected by climate-related changes in the ...

  11. COLLABORATIVE RESEARCH: Parallel Analysis Tools and New Visualization Techniques for Ultra-Large Climate Data Set

    SciTech Connect (OSTI)

    middleton, Don; Haley, Mary

    2014-12-10

    ParVis was a project funded under LAB 10-05: “Earth System Modeling: Advanced Scientific Visualization of Ultra-Large Climate Data Sets”. Argonne was the lead lab with partners at PNNL, SNL, NCAR and UC-Davis. This report covers progress from January 1st, 2013 through Dec 1st, 2014. Two previous reports covered the period from Summer, 2010, through September 2011 and October 2011 through December 2012, respectively. While the project was originally planned to end on April 30, 2013, personnel and priority changes allowed many of the institutions to continue work through FY14 using existing funds. A primary focus of ParVis was introducing parallelism to climate model analysis to greatly reduce the time-to-visualization for ultra-large climate data sets. Work in the first two years was conducted on two tracks with different time horizons: one track to provide immediate help to climate scientists already struggling to apply their analysis to existing large data sets and another focused on building a new data-parallel library and tool for climate analysis and visualization that will give the field a platform for performing analysis and visualization on ultra-large datasets for the foreseeable future. In the final 2 years of the project, we focused mostly on the new data-parallel library and associated tools for climate analysis and visualization.

  12. Lidar-measured winds from space: A key component for weather and climate prediction

    SciTech Connect (OSTI)

    Baker, W.E.; Emmitt, G.D.; Robertson, F.

    1995-06-01

    The deployment of a space-based Doppler lidar would provide information that is fundamental to advancing the understanding and prediction of weather and climate. This paper reviews the concepts of wind measurement by Doppler lidar, highlights the results of some observing system simulation experiments with lidar winds, and discusses the important advances in earth system science anticipated with lidar winds. Observing system simulation experiments, conducted using two different general circulation models, have shown (1) that there is a significant improvement in the forecast accuracy over the Southern Hemisphere and tropical oceans resulting from the assimilation of simulated satellite wind data, and (2) that wind data are significantly more effective than temperature or moisture data in controlling analysis error. Because accurate wind observations are currently almost entirely unavailable for the vast majority of tropical cyclones worldwide, lidar winds have the potential to substantially improve tropical cyclone forecasts. Similarly, to improve water vapor flux divergence calculations, a direct measure of the ageostrophic wind is needed since the present level of uncertainty cannot be reduced with better temperature and moisture soundings alone. 99 refs., 10 figs., 3 tabs.

  13. Lawrence Livermore National Laboratory interests and capabilities for research on the ecological effects of global climatic and atmospheric change

    SciTech Connect (OSTI)

    Amthor, J.S.; Houpis, J.L.; Kercher, J.R.; Ledebuhr, A.; Miller, N.L.; Penner, J.E.; Robison, W.L.; Taylor, K.E.

    1994-09-01

    The Lawrence Livermore National Laboratory (LLNL) has interests and capabilities in all three types of research that must be conducted in order to understand and predict effects of global atmospheric and climatic (i.e., environmental) changes on ecological systems and their functions (ecosystem function is perhaps most conveniently defined as mass and energy exchange and storage). These three types of research are: (1) manipulative experiments with plants and ecosystems; (2) monitoring of present ecosystem, landscape, and global exchanges and pools of energy, elements, and compounds that play important roles in ecosystem function or the physical climate system, and (3) mechanistic (i.e., hierarchic and explanatory) modeling of plant and ecosystem responses to global environmental change. Specific experimental programs, monitoring plans, and modeling activities related to evaluation of ecological effects of global environmental change that are of interest to, and that can be carried out by LLNL scientists are outlined. Several projects have the distinction of integrating modeling with empirical studies resulting in an Integrated Product (a model or set of models) that DOE or any federal policy maker could use to assess ecological effects. The authors note that any scheme for evaluating ecological effects of atmospheric and climatic change should take into account exceptional or sensitive species, in particular, rare, threatened, or endangered species.

  14. Carbon dioxide and climate. [Appendix includes names and addresses of the Principal Investigators for the research projects funded in FY1991

    SciTech Connect (OSTI)

    Not Available

    1991-10-01

    Global climate change is a serious environmental concern, and the US has developed An Action Agenda'' to deal with it. At the heart of the US effort is the US Global Change Research Program (USGCRP), which has been developed by the Committee on Earth and Environmental Sciences (CEES) of the Federal Coordinating Council for Sciences, Engineering, and Technology (FCCSET). The USGCRP will provide the scientific basis for sound policy making on the climate-change issue. The DOE contribution to the USGCRP is the Carbon Dioxide Research Program, which now places particular emphasis on the rapid improvement of the capability to predict global and regional climate change. DOE's Carbon Dioxide Research Program has been addressing the carbon dioxide-climate change connection for more than twelve years and has provided a solid scientific foundation for the USGCRP. The expansion of the DOE effort reflects the increased attention that the Department has placed on the issue and is reflected in the National Energy Strategy (NES) that was released in 1991. This Program Summary describes projects funded by the Carbon Dioxide Research Program during FY 1991 and gives a brief overview of objectives, organization, and accomplishments. The Environmental Sciences Division of the Office of Health and Environmental Research, Office of Energy Research supports a Carbon Dioxide Research Program to determine the scientific linkage between the rise of greenhouse gases in the atmosphere, especially carbon dioxide, and climate and vegetation change. One facet is the Core CO{sub 2} Program, a pioneering program that DOE established more than 10 years ago to understand and predict the ways that fossil-fuel burning could affect atmospheric CO{sub 2} concentration, global climate, and the Earth's biosphere. Major research areas are: global carbon cycle; climate detection and models of climate change; vegetation research; resource analysis; and, information and integration.

  15. Building America Residential System Research Results. Achieving 30% Whole House Energy Savings Level in Hot-Dry and Mixed-Dry Climates

    SciTech Connect (OSTI)

    Anderson, R.; Hendron, R.; Eastment, M.; Jalalzadeh-Azar, A.

    2006-01-01

    This report summarizes Building America research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in the Hot-Dry/Mixed-Dry Climate Region on a cost-neutral basis.

  16. Building America Residential System Research Results: Achieving 30% Whole House Energy Savings Level in Mixed-Humid Climates; January 2006 - December 2006

    SciTech Connect (OSTI)

    Anderson, R.; Hendron, R.; Eastment, M.; Jalalzadeh-Azar, A.

    2006-12-01

    This report summarizes research results for the 30% energy savings level and demonstrates that lead builders can successfully provide 30% homes in the Mixed-Humid Climate Region on a cost-neutral basis.

  17. Cold Climate Foundation Retrofit Experimental Hygrothermal Performance. Cloquet Residential Research Facility Laboratory Results

    SciTech Connect (OSTI)

    Goldberg, Louise F.; Harmon, Anna C.

    2015-04-09

    This project was funded jointly by the National Renewable Energy Laboratory (NREL) and Oak Ridge National Laboratory (ORNL). ORNL focused on developing a full basement wall system experimental database to enable others to validate hygrothermal simulation codes. NREL focused on testing the moisture durability of practical basement wall interior insulation retrofit solutions for cold climates. The project has produced a physically credible and reliable long-term hygrothermal performance database for retrofit foundation wall insulation systems in zone 6 and 7 climates that are fully compliant with the performance criteria in the 2009 Minnesota Energy Code. These data currently span the period from November 10, 2012 through May 31, 2014 and are anticipated to be extended through November 2014. The experimental data were configured into a standard format that can be published online and that is compatible with standard commercially available spreadsheet and database software.

  18. Existing climate data sources and Their Use in Heat IslandResearch

    SciTech Connect (OSTI)

    Akbari, Hashem; Pon, Brian; Smith, Craig Kenton; Stamper-Kurn, Dan Moses

    1998-10-01

    Existing climate data sources can be used in two general types of analysis for the detection of urban heat islands. Historical analyses use long-term data records-preferentially from several locations in and around an urban area-to trace the gradual influence of urban development on its climate. Primary sources of such data include the cooperative network, first-order National Weather Service stations, and military weather stations. Analyses of short-term data use information from a dense urban weather station network to discern the location, extent, and magnitude of urban heat islands. Such analyses may use the aforementioned national networks or regional networks such as agricultural, air quality monitoring, or utility networks. We demonstrate the use of existing data sources with a historical analysis of temperature trends in Los Angeles, California, and an analysis of short-term data of the urban temperature profile for Phoenix, Arizona. The Los Angeles climate was examined with eleven long-term data records from the cooperative network. Statistically significant trends of rising temperature were detected at Los Angeles Civic Center and other stations over some parts of the year, although timing of the increase varied from station to station. Observed increases in temperatures maybe due to long-term climate changes, microclimate influences, or local-scale heat islands. The analysis of short-term data was made for Phoenix using the PRISMS station network. Mean diurnal temperature profiles for a month were examined and compared with those for adjacent rural areas. Data fi-om stations in the center of Phoenix showed clear and significant nighttime and daytime temperature differences of 1- 2K (3 - 4"F). These temperature increases maybe attributable to a local-scale heat island.

  19. Radon Measurements of Atmospheric Mixing (RAMIX) 2006-2014 Final...

    Office of Scientific and Technical Information (OSTI)

    Publisher: DOE ARM Climate Research Facility, Pacific Northwest National Laboratory; Richland, Washington. Research Org: DOE Office of Science Atmospheric Radiation Measurement ...

  20. Cold Climate Foundation Retrofit Experimental Hygrothermal Performance: Cloquet Residential Research Facility Laboratory Results

    SciTech Connect (OSTI)

    Goldberg, Louise F.; Harmon, Anna C.

    2015-04-01

    Thermal and moisture problems in existing basements create a unique challenge because the exterior face of the wall is not easily or inexpensively accessible. This approach addresses thermal and moisture management from the interior face of the wall without disturbing the exterior soil and landscaping. the interior and exterior environments. This approach has the potential for improving durability, comfort, and indoor air quality. This project was funded jointly by the National Renewable Energy Laboratory (NREL) and Oak Ridge National Laboratory (ORNL). ORNL focused on developing a full basement wall system experimental database to enable others to validate hygrothermal simulation codes. NREL focused on testing the moisture durability of practical basement wall interior insulation retrofit solutions for cold climates. The project has produced a physically credible and reliable long-term hygrothermal performance database for retrofit foundation wall insulation systems in zone 6 and 7 climates that are fully compliant with the performance criteria in the 2009 Minnesota Energy Code. The experimental data were configured into a standard format that can be published online and that is compatible with standard commercially available spreadsheet and database software.

  1. Technology Solutions Case Study: Cold Climate Foundation Wall Hygrothermal Research Facility, Cloquet, Minnesota

    SciTech Connect (OSTI)

    2014-09-01

    This case study describes the University of Minnesota’s Cloquet Residential Research Facility (CRRF) in northern Minnesota, which features more than 2,500 ft2 of below-grade space for building systems foundation hygrothermal research. Here, the NorthernSTAR Building America Partnership team researches ways to improve the energy efficiency of the building envelope, including wall assemblies, basements, roofs, insulation, and air leakage.

  2. DOE/SC-ARM-10-006.8 ARM Climate Research Facility Monthly Instrument...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development. New information is highlighted in blue text. JW...

  3. DOE/SC-ARM-10-006.7 ARM Climate Research Facility Monthly Instrument...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development. New information is highlighted in blue text. JW...

  4. DOE/SC-ARM-10-006.5 ARM Climate Research Facility Monthly Instrument...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development. New information is highlighted in blue text. JW...

  5. DOE/SC-ARM-10-006.9 ARM Climate Research Facility Monthly Instrument...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development. New information is highlighted in blue text. JW...

  6. DOE/SC-ARM-10-006.6 ARM Climate Research Facility Monthly Instrument...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    or upgrades, (4) proposed future instrumentation, and (5) Small Business Innovation Research instrument development. New information is highlighted in blue text. JW...

  7. Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High-Resolution Regional Arctic Climate System Model

    SciTech Connect (OSTI)

    Lettenmaier, Dennis P

    2013-04-08

    Primary activities are reported in these areas: climate system component studies via one-way coupling experiments; development of the Regional Arctic Climate System Model (RACM); and physical feedback studies focusing on changes in Arctic sea ice using the fully coupled model.

  8. Final Technical Report for Collaborative Research: Regional climate-change projections through next-generation empirical and dynamical models, DE-FG02-07ER64429

    SciTech Connect (OSTI)

    Smyth, Padhraic

    2013-07-22

    This is the final report for a DOE-funded research project describing the outcome of research on non-homogeneous hidden Markov models (NHMMs) and coupled ocean-atmosphere (O-A) intermediate-complexity models (ICMs) to identify the potentially predictable modes of climate variability, and to investigate their impacts on the regional-scale. The main results consist of extensive development of the hidden Markov models for rainfall simulation and downscaling specifically within the non-stationary climate change context together with the development of parallelized software; application of NHMMs to downscaling of rainfall projections over India; identification and analysis of decadal climate signals in data and models; and, studies of climate variability in terms of the dynamics of atmospheric flow regimes.

  9. Final Report: Northeastern Regional Center of the DOE's National Institute for Climatic Change Research

    SciTech Connect (OSTI)

    Davis, Kenneth

    2014-01-14

    Administration of the NERC of NICCR began at Penn State in December of 2005 and ended in December of 2011. During that time, five requests for proposals were released and five rounds of proposals were reviewed, awarded and administered. Throughout this award, 203 pre-proposals have been received by the NERC in five RFPS and 110 full proposals invited. Of the 110 full proposals reviewed, 53 were funded (most in full, some partially) resulting in 51 subcontracts. These awards were distributed among 17 universities and 3 non-governmental research institutes. Full proposals have been received from 29 universities and 5 non-governmental research institutes. Research activities have now been completed.

  10. Assessment of cold-climate environmental research priorities. Appendixes A, B

    SciTech Connect (OSTI)

    States, J.B.

    1983-04-01

    These appendices present research plans in the areas of air pollution, water contamination/consumption, habitat modification and waste management that are relevant to the EPA's cold regions program. (ACR)

  11. Atmospheric Radiation Measurement Convective and Orographically...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Convective and Orographically Induced Precipitation Study The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility is providing the ARM ...

  12. Measurement and Control Systems of Tritium Facilities for Scientific Research

    SciTech Connect (OSTI)

    Vinogradov, Yu.I.; Kuryakin, A.V.; Yukhimchuk, A.A.

    2005-07-15

    The technical approach, equipment and software developed during the creation of measurement and control systems for two complexes are described. The first one is a complex that prepares the gas mixture and targets of the 'TRITON' facility. The 'TRITON' facility is designed for studying muon catalyzed fusion reactions in triple mixtures of H/D/T hydrogen isotopes over wide ranges of temperature and pressure. The second one is 'ACCULINNA' - the liquid tritium target designed to investigate the neutron overloaded hydrogen and helium nuclei. These neutron-overloaded nuclei are produced in reactions of tritium beams on a heavy hydrogen and tritium target.

  13. Toward Robust Climate Baselining: Objective Assessment of Climate Change Using Widely Distributed Miniaturized Sensors for Accurate World-Wide Geophysical Measurements

    DOE R&D Accomplishments [OSTI]

    Teller, E.; Leith, C.; Canavan, G.; Marion, J.; Wood, L.

    2001-11-13

    A gap-free, world-wide, ocean-, atmosphere-, and land surface-spanning geophysical data-set of three decades time-duration containing the full set of geophysical parameters characterizing global weather is the scientific perquisite for defining the climate; the generally-accepted definition in the meteorological community is that climate is the 30-year running-average of weather. Until such a tridecadal climate baseline exists, climate change discussions inevitably will have a semi-speculative, vs. a purely scientific, character, as the baseline against which changes are referenced will at least somewhat uncertain.

  14. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Warming Due to Soot and Smoke? Maybe Not. Submitter: Penner, J. E., University of Michigan Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Penner, J.E., S.Y. Zhang, and C.C. Chuang, Soot and smoke aerosol may not warm climate, J. Geophys. Res., 108(D21), 4657, doi:10.1029/2003JD003409, 2003. New research results from the Department of Energy's Atmospheric Radiation Measurement (ARM) Program suggest that fossil fuel soot emissions and biomass smoke may

  15. ARM Climate Research Facility Spectral Surface Albedo Value-Added Product (VAP) Report

    SciTech Connect (OSTI)

    McFarlane, S; Gaustad, K; Long, C; Mlawer, E

    2011-07-15

    This document describes the input requirements, output data products, and methodology for the Spectral Surface Albedo (SURFSPECALB) value-added product (VAP). The SURFSPECALB VAP produces a best-estimate near-continuous high spectral resolution albedo data product using measurements from multifilter radiometers (MFRs). The VAP first identifies best estimates for the MFR downwelling and upwelling shortwave irradiance values, and then calculates narrowband spectral albedo from these best-estimate irradiance values. The methodology for finding the best-estimate values is based on a simple process of screening suspect data and backfilling screened and missing data with estimated values when possible. The resulting best-estimate MFR narrowband spectral albedos are used to determine a daily surface type (snow, 100% vegetation, partial vegetation, or 0% vegetation). For non-snow surfaces, a piecewise continuous function is used to estimate a high spectral resolution albedo at 1 min temporal and 10 cm-1 spectral resolution.

  16. Sandia's Frontier Observatory for Research In Geothermal Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric Radiation Measurement Climate Reasearch Facility Geomechanics and Drilling ... as "enabling cutting-edge research and drilling and technology testing, as well as to ...

  17. 20 Years of Solar Measurements: The Solar Radiation Research Laboratory (SRRL) at NREL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Years of Solar Measurements: The Solar Radiation Research Laboratory (SRRL) at NREL Tom Stoffel April 6, 2005 The development of SRRL began immediately following President Carter's visit to SERI on May 3, 1978, when Roland Hulstrom directed me to develop an outdoor research laboratory to provide for: * Maximum annual solar access * Continuous measurements of key solar radiation resources * Calibrations of instruments used to measure solar radiation * Training of meteorological station operators

  18. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Hemispherical Simulations Show Impact of Aerosols on Cloud Reflectivity Submitter: Rotstayn, L., Commonwealth Scientific and Industrial Research Organization Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Rotstayn, L., and Y. Liu, Sensitivity of the First Indirect Aerosol Effect to an Increase in Cloud Droplet Spectral Dispersion with Droplet Number Concentration, Journal of Climate: Vol. 16, No. 21, pp.3476-3481, May 2003. Figure 1. Measurements of the

  19. Climate system research

    SciTech Connect (OSTI)

    Bradley, R.S. ); Diaz, H.F. . Environmental Research Labs.); Jones, P.D.; Kelly, P.M. . Climatic Research Unit)

    1990-09-01

    This document discusses activities during year 2 of the grant period. Major topics include precipitation data; temperature data; and international activities. (FI)

  20. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Tier: Production There are no open ECOs for this VAP. 2.18 Corrected Moments in Antenna Coordinates (CMAC) Translator: Scott Collis, Argonne National Laboratory...

  1. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ingest Status Report A Koontz C Sivaraman April 2015 DOE/SC-ARM-15-020 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned

  2. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... 1 2.3 Atmospherically Emitted Radiance Interferometer Noise Filter (AERINF) ... 2 2.4 AERI Profiles of Water Vapor and...

  3. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... 1 2.2 Atmospherically Emitted Radiance Interferometer Noise Filter (AERINF) ... 2 2.3 AERI Profiles of Water Vapor and...

  4. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for ARM Radiation Data (QCRAD) ... 13 2.35 Raman Lidar Profiles-Aerosol Scattering Ratio (RLPROFASR) ......

  5. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for ARM Radiation Data (QCRAD) ... 12 2.31 Raman Lidar Profiles-Aerosol Scattering Ratio (RLPROFASR) ......

  6. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... 3 2.4 Aerosol Observing System Humidified Tandem Differential Mobility Analyzer (AOS- HTDMA) ......

  7. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1.2 MWRRET Value-Added Product: The Retrieval of Liquid Water Path and Precipitable Water Vapor from Microwave Radiometer (MWR) Data Sets Revision 2 KL Gaustad DD Turner SA...

  8. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Translator: Connor Flynn, Pacific Northwest National Laboratory Developer: Annette Koontz, Pacific Northwest National Laboratory Status: Development Tier: Evaluation...

  9. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Translator: Connor Flynn, Pacific Northwest National Laboratory Developer: Annette Koontz, Pacific Northwest National Laboratory Status: In Development Tier: Evaluation...

  10. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Translator: Connor Flynn, Pacific Northwest National Laboratory Developer: Annette Koontz, Pacific Northwest National Laboratory Status: Operational Tier: Production There are...

  11. ARM Climate Research Facility

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Translator: Connor Flynn, Pacific Northwest National Laboratory Developer: Annette Koontz, Pacific Northwest National Laboratory Status: In Development Tier: Evaluation C...

  12. Forecasting the response of Earth's surface to future climatic and land use changes: A review of methods and research needs

    SciTech Connect (OSTI)

    Pelletier, Jon D.; Murray, A. Brad; Pierce, Jennifer L.; Bierman, Paul R.; Breshears, David D.; Crosby, Benjamin T.; Ellis, Michael; Foufoula-Georgiou, Efi; Heimsath, Arjun M.; Houser, Chris; Lancaster, Nick; Marani, Marco; Merritts, Dorothy J.; Moore, Laura J.; Pederson, Joel L.; Poulos, Michael J.; Rittenour, Tammy M.; Rowland, Joel C.; Ruggiero, Peter; Ward, Dylan J.; Wickert, Andrew D.; Yager, Elowyn M.

    2015-07-14

    In the future, Earth will be warmer, precipitation events will be more extreme, global mean sea level will rise, and many arid and semiarid regions will be drier. Human modifications of landscapes will also occur at an accelerated rate as developed areas increase in size and population density. We now have gridded global forecasts, being continually improved, of the climatic and land use changes (C&LUC) that are likely to occur in the coming decades. However, besides a few exceptions, consensus forecasts do not exist for how these C&LUC will likely impact Earth-surface processes and hazards. In some cases, we have the tools to forecast the geomorphic responses to likely future C&LUC. Fully exploiting these models and utilizing these tools will require close collaboration among Earth-surface scientists and Earth-system modelers. This paper assesses the state-of-the-art tools and data that are being used or could be used to forecast changes in the state of Earth's surface as a result of likely future C&LUC. We also propose strategies for filling key knowledge gaps, emphasizing where additional basic research and/or collaboration across disciplines are necessary. The main body of the paper addresses cross-cutting issues, including the importance of nonlinear/threshold-dominated interactions among topography, vegetation, and sediment transport, as well as the importance of alternate stable states and extreme, rare events for understanding and forecasting Earth-surface response to C&LUC. Five supplements delve into different scales or process zones (global-scale assessments and fluvial, aeolian, glacial/periglacial, and coastal process zones) in detail.

  13. Forecasting the response of Earth's surface to future climatic and land use changes: A review of methods and research needs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Pelletier, Jon D.; Murray, A. Brad; Pierce, Jennifer L.; Bierman, Paul R.; Breshears, David D.; Crosby, Benjamin T.; Ellis, Michael; Foufoula-Georgiou, Efi; Heimsath, Arjun M.; Houser, Chris; et al

    2015-07-14

    In the future, Earth will be warmer, precipitation events will be more extreme, global mean sea level will rise, and many arid and semiarid regions will be drier. Human modifications of landscapes will also occur at an accelerated rate as developed areas increase in size and population density. We now have gridded global forecasts, being continually improved, of the climatic and land use changes (C&LUC) that are likely to occur in the coming decades. However, besides a few exceptions, consensus forecasts do not exist for how these C&LUC will likely impact Earth-surface processes and hazards. In some cases, we havemore » the tools to forecast the geomorphic responses to likely future C&LUC. Fully exploiting these models and utilizing these tools will require close collaboration among Earth-surface scientists and Earth-system modelers. This paper assesses the state-of-the-art tools and data that are being used or could be used to forecast changes in the state of Earth's surface as a result of likely future C&LUC. We also propose strategies for filling key knowledge gaps, emphasizing where additional basic research and/or collaboration across disciplines are necessary. The main body of the paper addresses cross-cutting issues, including the importance of nonlinear/threshold-dominated interactions among topography, vegetation, and sediment transport, as well as the importance of alternate stable states and extreme, rare events for understanding and forecasting Earth-surface response to C&LUC. Five supplements delve into different scales or process zones (global-scale assessments and fluvial, aeolian, glacial/periglacial, and coastal process zones) in detail.« less

  14. Satellite Data Support for the ARM Climate Research Facility, 8/01/2009 - 7/31/2015

    SciTech Connect (OSTI)

    Minnis, Patrick; Khaiyer, Mandana M

    2015-10-06

    This report summarizes the support provided by NASA Langley Research for the DOE ARM Program in the form of cloud and radiation products derived from satellite imager data for the period between 8/01/09 through 7/31/15. Cloud properties such as cloud amount, height, and optical depth as well as outgoing longwave and shortwave broadband radiative fluxes were derived from geostationary and low-earth orbiting satellite imager radiance measurements for domains encompassing ARM permanent sites and field campaigns during the performance period. Datasets provided and documents produced are listed.

  15. Tools for Teaching Climate Change Studies

    SciTech Connect (OSTI)

    Maestas, A.M.; Jones, L.A.

    2005-03-18

    The Atmospheric Radiation Measurement Climate Research Facility (ACRF) develops public outreach materials and educational resources for schools. Studies prove that science education in rural and indigenous communities improves when educators integrate regional knowledge of climate and environmental issues into school curriculum and public outreach materials. In order to promote understanding of ACRF climate change studies, ACRF Education and Outreach has developed interactive kiosks about climate change for host communities close to the research sites. A kiosk for the North Slope of Alaska (NSA) community was installed at the Iupiat Heritage Center in 2003, and a kiosk for the Tropical Western Pacific locales will be installed in 2005. The kiosks feature interviews with local community elders, regional agency officials, and Atmospheric Radiation Measurement (ARM) Program scientists, which highlight both research and local observations of some aspects of environmental and climatic change in the Arctic and Pacific. The kiosks offer viewers a unique opportunity to learn about the environmental concerns and knowledge of respected community elders, and to also understand state-of-the-art climate research. An archive of interviews from the communities will also be distributed with supplemental lessons and activities to encourage teachers and students to compare and contrast climate change studies and oral history observations from two distinct locations. The U.S. Department of Energy's ACRF supports education and outreach efforts for communities and schools located near its sites. ACRF Education and Outreach has developed interactive kiosks at the request of the communities to provide an opportunity for the public to learn about climate change from both scientific and indigenous perspectives. Kiosks include interviews with ARM scientists and provide users with basic information about climate change studies as well as interviews with elders and community leaders discussing the impacts of climate change on land, sea, and other aspects of village life.

  16. U.S. Global Change Research Program Recommended Citation: Global Climate Change Impacts in the United States, Thomas R. Karl, Jerry M. Melillo, and Thomas C. Peterson,

    National Nuclear Security Administration (NNSA)

    A State of Knowledge Report from the U.S. Global Change Research Program Recommended Citation: Global Climate Change Impacts in the United States, Thomas R. Karl, Jerry M. Melillo, and Thomas C. Peterson, (eds.). Cambridge University Press, 2009. The bars at the bottom of the front cover show the global annual average temperature from 1900-2008, see page 17. CAMBRIDGE UNIVERSITY PRESS Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, SĂŁo Paulo, Delhi Cambridge University Press 32

  17. Earth System Grid Center for Enabling Technologies (ESG-CET): A Data Infrastructure for Data-Intensive Climate Research

    SciTech Connect (OSTI)

    Williams, Dean N.

    2011-06-03

    For the Earth System Grid Federation (ESGF), the ESG-CET team has led international development and delivered a production environment for managing and accessing ultrascale climate data. This production environment includes multiple national and international climate projects (e.g., Couple Model Intercomparison Project, Community Earth System Model), ocean model data (such as the Parallel Ocean Program), observation data (Carbon Dioxide Information and Analysis Center, Atmospheric Infrared Sounder, and so forth), and analysis and visualization tools, all of which serve a diverse community of users. These data holdings and services are distributed across multiple ESG-CET sites (such as LANL, LBNL, LLNL, NCAR, and ORNL) as well as at unfunded partners sites such as the Australian National University National Computational Infrastructure, the British Atmospheric Data Centre, the National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory, the Max Planck Institute for Meteorology, the German Climate Computing Centre, and the National Aeronautics and Space Administration Jet Propulsion Laboratory. More recently, ESG-CET has been extending services beyond data-file access and delivery to develop more detailed information products (scientific graphics, animations, etc.), secure binary data-access services (based upon the OPeNDAP protocol), and server-side analysis capabilities. These will allow users to request data subsets transformed through commonly used analysis and intercomparison procedures. As we transition from development activities to production and operations, the ESG-CET team is tasked with making data available to all users seeking to understand, process, extract value from, visualize, and/or communicate it to others. This ongoing effort, though daunting in scope and complexity, will greatly magnify the value of numerical climate model outputs and climate observations for future national and international climate-assessment reports. Continued ESGF progress will result in a production ultrascale data system for empowering scientists who attempt new and exciting data exchanges that could ultimately lead to breakthrough climate-science discoveries.

  18. Impact of Infiltration and Ventilation on Measured Space Conditioning Energy and Moisture Levels in the Hot-Humid Climate, Cocoa, Florida (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01

    Air infiltration and ventilation in residential buildings is a very large part of the heating loads, but empirical data regarding the impact on space cooling has been lacking. Moreover, there has been little data on how building tightness might relate to building interior moisture levels in homes in a hot and humid climate. To address this need, BA-PIRC has conducted research to assess the moisture and cooling load impacts of airtightness and mechanical ventilation in two identical laboratory homes in the hot-humid climate over the cooling season. ​

  19. Technology Solutions Case Study: Impact of Infiltration and Ventilation on Measured Space Conditioning Energy and Moisture Levels in the Hot-Humid Climate

    SciTech Connect (OSTI)

    2014-04-01

    Air infiltration and ventilation in residential buildings is a very large part of the heating loads, but empirical data regarding the impact on space cooling has been lacking. Moreover, there has been little data on how building tightness might relate to building interior moisture levels in homes in a hot and humid climate. To address this need, BA-PIRC conducted research to assess the moisture and cooling load impacts of airtightness and mechanical ventilation in two identical laboratory homes in the hot-humid climate over the cooling season.

  20. Mobile Facility Records Annual Climate Cycle in Niger, Africa

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Facility Records Annual Climate Cycle in Niger, Africa Because dust can block incoming solar energy, and because solar energy drives weather and climate, scientists around the world are looking for ways to better understand these natural phenomena. In 2006, scientists sponsored by the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility conducted a year-long field campaign in Niamey, Niger, to provide key information for the African Monsoon

  1. Global Climate & Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Participated in the 2013 Domenici Public Policy Conference Carbon Capture & Storage, Carbon Storage, Climate, Earth Sciences Research Center, Energy, Global Climate & Energy, Global Climate & Energy, News, News & Events, Systems Analysis, Systems Engineering, Water Security Sandia Participated in the 2013 Domenici Public Policy Conference Marianne Walck, Director of Sandia's Geoscience, Climate, and Consequence Effects Center, spoke on "Hydraulic Fracturing: The Role of

  2. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Vertical Structure of Cloud Radiative Forcing at the ACRF SGP Revealed by 8 Years of Continuous Measurements Submitter: Mace, G., University of Utah Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Accepted to Journal of Climate, 2007. Figure 1. Cloud occurrence, coverage, radiative forcing, and radiation effects over a composite annual cycle that is derived by averaging all observations collected during a

  3. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Effects of Relative Humidity on Aerosols-Implications for Climate Submitter: Lacis, A. A., NASA - Goddard Institute for Space Studies Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: "Refractive Indices of Three Hygroscopic Aerosols and their Dependence on Relative Humidity," October 2001. Sponsored by the DOE Atmospheric Radiation Measurement (ARM) Program, science collaborators at the National Aeronautics and Space Administration (NASA) Goddard

  4. Principles and applications of measurement and uncertainty analysis in research and calibration

    SciTech Connect (OSTI)

    Wells, C.V.

    1992-11-01

    Interest in Measurement Uncertainty Analysis has grown in the past several years as it has spread to new fields of application, and research and development of uncertainty methodologies have continued. This paper discusses the subject from the perspectives of both research and calibration environments. It presents a history of the development and an overview of the principles of uncertainty analysis embodied in the United States National Standard, ANSI/ASME PTC 19.1-1985, Measurement Uncertainty. Examples are presented in which uncertainty analysis was utilized or is needed to gain further knowledge of a particular measurement process and to characterize final results. Measurement uncertainty analysis provides a quantitative estimate of the interval about a measured value or an experiment result within which the true value of that quantity is expected to lie. Years ago, Harry Ku of the United States National Bureau of Standards stated that The informational content of the statement of uncertainty determines, to a large extent, the worth of the calibrated value.'' Today, that statement is just as true about calibration or research results as it was in 1968. Why is that true What kind of information should we include in a statement of uncertainty accompanying a calibrated value How and where do we get the information to include in an uncertainty statement How should we interpret and use measurement uncertainty information This discussion will provide answers to these and other questions about uncertainty in research and in calibration. The methodology to be described has been developed by national and international groups over the past nearly thirty years, and individuals were publishing information even earlier. Yet the work is largely unknown in many science and engineering arenas. I will illustrate various aspects of uncertainty analysis with some examples drawn from the radiometry measurement and calibration discipline from research activities.

  5. Principles and applications of measurement and uncertainty analysis in research and calibration

    SciTech Connect (OSTI)

    Wells, C.V.

    1992-11-01

    Interest in Measurement Uncertainty Analysis has grown in the past several years as it has spread to new fields of application, and research and development of uncertainty methodologies have continued. This paper discusses the subject from the perspectives of both research and calibration environments. It presents a history of the development and an overview of the principles of uncertainty analysis embodied in the United States National Standard, ANSI/ASME PTC 19.1-1985, Measurement Uncertainty. Examples are presented in which uncertainty analysis was utilized or is needed to gain further knowledge of a particular measurement process and to characterize final results. Measurement uncertainty analysis provides a quantitative estimate of the interval about a measured value or an experiment result within which the true value of that quantity is expected to lie. Years ago, Harry Ku of the United States National Bureau of Standards stated that ``The informational content of the statement of uncertainty determines, to a large extent, the worth of the calibrated value.`` Today, that statement is just as true about calibration or research results as it was in 1968. Why is that true? What kind of information should we include in a statement of uncertainty accompanying a calibrated value? How and where do we get the information to include in an uncertainty statement? How should we interpret and use measurement uncertainty information? This discussion will provide answers to these and other questions about uncertainty in research and in calibration. The methodology to be described has been developed by national and international groups over the past nearly thirty years, and individuals were publishing information even earlier. Yet the work is largely unknown in many science and engineering arenas. I will illustrate various aspects of uncertainty analysis with some examples drawn from the radiometry measurement and calibration discipline from research activities.

  6. A Year of Radiation Measurements at the North Slope of Alaska Second Quarter 2009 ARM and Climate Change Prediction Program Metric Report

    SciTech Connect (OSTI)

    S.A. McFarlane, Y. Shi, C.N. Long

    2009-04-15

    In 2009, the Atmospheric Radiation Measurement (ARM) Program and the Climate Change Prediction Program (CCPP) have been asked to produce joint science metrics. For CCPP, the second quarter metrics are reported in Evaluation of Simulated Precipitation in CCSM3: Annual Cycle Performance Metrics at Watershed Scales. For ARM, the metrics will produce and make available new continuous time series of radiative fluxes based on one year of observations from Barrow, Alaska, during the International Polar Year and report on comparisons of observations with baseline simulations of the Community Climate System Model (CCSM).

  7. Supercomputers Fuel Global High-Resolution Climate Models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Supercomputers Fuel Global High-Resolution Climate Models Supercomputers Fuel Global High-Resolution Climate Models Berkeley Lab Researcher Says Climate Science is Entering New...

  8. Measured Cooling Season Results Relating the Impact of Mechanical Ventilation on Energy, Comfort, and Indoor Air Quality in Humid Climates

    SciTech Connect (OSTI)

    Martin, Eric; Amos, Bryan; McIlvaine, Janet; Chasar, David; Widder, Sarah H.; Fonorow, Ken

    2014-08-22

    Conference Paper for ACEEE Summer Study in Buildings discussing results to date of a project evaluating the impact of ventialtion on energy use, comfort, durability, and cost in the hot humid climate.

  9. Climate Change Simulations with CCSM & CESM

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Change Simulations with CCSM & CESM Climate Change Simulations with CCSM & CESM Key Challenges: Perform fundamental research on the processes that influence the natural...

  10. Climate Education Update_Aug06 MOD.indd

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CHANGE STUDIES FOR TEACHERS AND STUDENTS The Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility supports education and outreach efforts for communities and schools located near its sites. The mission of the Education and Outreach Program is to promote basic science education and community awareness of climate change research by focusing on three goals: student enrichment, teacher support, and community outreach. ACRF Education and Outreach Director: Larry

  11. ARM - International Arctic Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Atmospheric Administration International Arctic Research Understanding Arctic Climate Change As Earth's climate changes, the Arctic and Antarctic regions are warming...

  12. Climate Change Adaptation/Resilience

    Broader source: Energy.gov [DOE]

    DOE facilities are located in all eight climate regions identified in the 2014 National Climate Assessment (as established by the U.S. Global Change Research Program), and are vulnerable to identified climate change impacts in those regions. To assist with establishing and maintaining an effective climate adaptation process, DOE is working to integrate climate adaptation concerns into all applicable DOE orders, policies, and planning documents.

  13. Forests and climate change focus of Frontiers in Science lectures

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Frontiers in Science lectures Forests and climate change focus of Frontiers in Science lectures LANL researcher Nate McDowell will discuss climate change and its effects on forest systems. March 31, 2014 Nathan McDowell measures photosynthesis at the SUrvival MOrtality project (SUMO) drought experiments site. Nathan McDowell measures photosynthesis at the SUrvival MOrtality project (SUMO) drought experiments site. Contact Steve Sandoval Communications Office (505) 665-9206 Email "The data

  14. 2007 Radiation & Climate GRC ( July 29-August 3, 2007)

    SciTech Connect (OSTI)

    William Collins Nancy Ryan Gray

    2008-06-01

    The theme of the fifth Gordon Research Conference on Radiation and Climate is 'Integrating multiscale measurements and models for key climate questions'. The meeting will feature lectures, posters, and discussion regarding these issues. The meeting will focus on insights from new types of satellite and in situ data and from new approaches to modeling processes in the climate system. The program on measurements will highlight syntheses of new satellite data on cloud, aerosols, and chemistry and syntheses of satellite and sub-orbital observations from field programs. The program on modeling will address both the evaluation of cloud-resolving and regional aerosol models using new types of measurements and the evidence for processes and physics missing from global models. The Conference will focus on two key climate questions. First, what factors govern the radiative interactions of clouds and aerosols with regional and global climate? Second, how well do we understand the interaction of radiation with land surfaces and with the cryosphere?

  15. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and climate change. The study, funded in large part by DOE's Atmospheric System Research program and recently discussed in the Quarterly Journal of the Royal Meteorological...

  16. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Change Download a printable PDF Submitter: Maseyk, K. S., Universite Pierre et Marie Curie, Paris 6 Area of Research: Surface Properties Working Group(s):...

  17. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CMBE - a New ACRF Data Product for Climate Studies Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: Cloud Distributions...

  18. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Small Processes Make a Big Difference in Model Outcomes Submitter: Cole, J. N., Canadian Centre for Climate Modelling and Analysis Area of Research: General Circulation and Single...

  19. Collaborative Research: Process-Resolving Decomposition of the Global Temperature Response to Modes of Low Frequency Variability in a Changing Climate

    SciTech Connect (OSTI)

    Deng, Yi

    2014-11-24

    DOE-GTRC-05596 11/24/2104 Collaborative Research: Process-Resolving Decomposition of the Global Temperature Response to Modes of Low Frequency Variability in a Changing Climate PI: Dr. Yi Deng (PI) School of Earth and Atmospheric Sciences Georgia Institute of Technology 404-385-1821, yi.deng@eas.gatech.edu El Niño-Southern Oscillation (ENSO) and Annular Modes (AMs) represent respectively the most important modes of low frequency variability in the tropical and extratropical circulations. The projection of future changes in the ENSO and AM variability, however, remains highly uncertain with the state-of-the-science climate models. This project conducted a process-resolving, quantitative evaluations of the ENSO and AM variability in the modern reanalysis observations and in climate model simulations. The goal is to identify and understand the sources of uncertainty and biases in models’ representation of ENSO and AM variability. Using a feedback analysis method originally formulated by one of the collaborative PIs, we partitioned the 3D atmospheric temperature anomalies and surface temperature anomalies associated with ENSO and AM variability into components linked to 1) radiation-related thermodynamic processes such as cloud and water vapor feedbacks, 2) local dynamical processes including convection and turbulent/diffusive energy transfer and 3) non-local dynamical processes such as the horizontal energy transport in the oceans and atmosphere. In the past 4 years, the research conducted at Georgia Tech under the support of this project has led to 15 peer-reviewed publications and 9 conference/workshop presentations. Two graduate students and one postdoctoral fellow also received research training through participating the project activities. This final technical report summarizes key scientific discoveries we made and provides also a list of all publications and conference presentations resulted from research activities at Georgia Tech. The main findings include: 1) the distinctly different roles played by atmospheric dynamical processes in establishing surface temperature response to ENSO at tropics and extratropics (i.e., atmospheric dynamics disperses energy out of tropics during ENSO warm events and modulate surface temperature at mid-, high-latitudes through controlling downward longwave radiation); 2) the representations of ENSO-related temperature response in climate models fail to converge at the process-level particularly over extratropics (i.e., models produce the right temperature responses to ENSO but with wrong reasons); 3) water vapor feedback contributes substantially to the temperature anomalies found over U.S. during different phases of the Northern Annular Mode (NAM), which adds new insight to the traditional picture that cold/warm advective processes are the main drivers of local temperature responses to the NAM; 4) the overall land surface temperature biases in the latest NCAR model (CESM1) are caused by biases in surface albedo while the surface temperature biases over ocean are related to multiple factors including biases in model albedo, cloud and oceanic dynamics, and the temperature biases over different ocean basins are also induced by different process biases. These results provide a detailed guidance for process-level model turning and improvement, and thus contribute directly to the overall goal of reducing model uncertainty in projecting future changes in the Earth’s climate system, especially in the ENSO and AM variability.

  20. NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS); Golden, Colorado (Data)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Stoffel, T.; Andreas, A.

    The SRRL was established at the Solar Energy Research Institute (now NREL) in 1981 to provide continuous measurements of the solar resources, outdoor calibrations of pyranometers and pyrheliometers, and to characterize commercially available instrumentation. The SRRL is an outdoor laboratory located on South Table Mountain, a mesa providing excellent solar access throughout the year, overlooking Denver. Beginning with the basic measurements of global horizontal irradiance, direct normal irradiance and diffuse horizontal irradiance at 5-minute intervals, the SRRL Baseline Measurement System now produces more than 130 data elements at 1-min intervals that are available from the Measurement & Instrumentation Data Center Web site. Data sources include global horizontal, direct normal, diffuse horizontal (from shadowband and tracking disk), global on tilted surfaces, reflected solar irradiance, ultraviolet, infrared (upwelling and downwelling), photometric and spectral radiometers, sky imagery, and surface meteorological conditions (temperature, relative humidity, barometric pressure, precipitation, snow cover, wind speed and direction at multiple levels). Data quality control and assessment include daily instrument maintenance (M-F) with automated data quality control based on real-time examinations of redundant instrumentation and internal consistency checks using NREL's SERI-QC methodology. Operators are notified of equipment problems by automatic e-mail messages generated by the data acquisition and processing system. Radiometers are recalibrated at least annually with reference instruments traceable to the World Radiometric Reference (WRR).

  1. NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS); Golden, Colorado (Data)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Stoffel, T.; Andreas, A.

    1981-07-15

    The SRRL was established at the Solar Energy Research Institute (now NREL) in 1981 to provide continuous measurements of the solar resources, outdoor calibrations of pyranometers and pyrheliometers, and to characterize commercially available instrumentation. The SRRL is an outdoor laboratory located on South Table Mountain, a mesa providing excellent solar access throughout the year, overlooking Denver. Beginning with the basic measurements of global horizontal irradiance, direct normal irradiance and diffuse horizontal irradiance at 5-minute intervals, the SRRL Baseline Measurement System now produces more than 130 data elements at 1-min intervals that are available from the Measurement & Instrumentation Data Center Web site. Data sources include global horizontal, direct normal, diffuse horizontal (from shadowband and tracking disk), global on tilted surfaces, reflected solar irradiance, ultraviolet, infrared (upwelling and downwelling), photometric and spectral radiometers, sky imagery, and surface meteorological conditions (temperature, relative humidity, barometric pressure, precipitation, snow cover, wind speed and direction at multiple levels). Data quality control and assessment include daily instrument maintenance (M-F) with automated data quality control based on real-time examinations of redundant instrumentation and internal consistency checks using NREL's SERI-QC methodology. Operators are notified of equipment problems by automatic e-mail messages generated by the data acquisition and processing system. Radiometers are recalibrated at least annually with reference instruments traceable to the World Radiometric Reference (WRR).

  2. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The seven CIRC Phase I baseline cases, five cloud-free and two with overcast liquid clouds, were built around observations by the Atmospheric Radiation Measurements (ARM) Climate ...

  3. Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Research Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Research thorium test foil A thorium test foil target for proof-of-concept actinium-225 production In addition to our routine isotope products, the LANL Isotope Program is focused on developing the next suite of isotopes and services to meet the Nation's emerging needs. The LANL Isotope Program's R&D strategy is focused on four main areas (see

  4. Atmospheric Radiation Measurement Program Climate Research Facility Operations Quarterly Report January 1–March 31, 2010

    SciTech Connect (OSTI)

    Sisterson, DL

    2010-04-08

    The U.S. Department of Energy (DOE) requires national user facilities to report time-based operating data. The requirements concern the actual hours of operation (ACTUAL); the estimated maximum operation or uptime goal (OPSMAX), which accounts for planned downtime; and the VARIANCE [1 – (ACTUAL/OPSMAX)], which accounts for unplanned downtime.

  5. Refining climate models

    ScienceCinema (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2014-06-26

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  6. Refining climate models

    SciTech Connect (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2012-10-31

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  7. Building America FY14 Project Matrix - by Research Team

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ARBI (DEG) Ducts in Condioned Space & High R-value Wall Measure Research New All Thermal Enclosure All ARBI (DEG) Field Trial of an Aerosol-Based Envelope Sealing Technology on a Production Scale Measure Research Both All Thermal Enclosure All All All All All ARBI (DEG) Reduced Recirculation Losses in Multi-Family Solar Water Heating Applications Measure Research Both MF Efficient Water Heating All ARBI (DEG) Evaluation of HPWH Ducting Kit Benefits in a Hot- Dry Climate Measure Research Both

  8. Effects of soot-induced snow albedo change on snowpack and hydrological cycle in western United States based on Weather Research and Forecasting chemistry and regional climate simulations

    SciTech Connect (OSTI)

    Qian, Yun; Gustafson, William I.; Leung, Lai-Yung R.; Ghan, Steven J.

    2009-02-14

    Radiative forcing induced by soot on snow is a major anthropogenic forcing affecting the global climate. However, it is uncertain how the soot-induced snow albedo perturbation affects regional snowpack and the hydrological cycle. In this study we simulated the deposition of soot aerosol on snow and investigated the resulting impact on snowpack and the surface water budget in the western United States. A yearlong simulation was performed using the chemistry version of the Weather Research and Forecasting model (WRF-Chem) to determine an annual budget of soot deposition, followed by two regional climate simulations using WRF in meteorology-only mode, with and without the soot-induced snow albedo perturbations. The chemistry simulation shows large spatial variability in soot deposition that reflects the localized emissions and the influence of the complex terrain. The soot-induced snow albedo perturbations increase the net solar radiation flux at the surface during late winter to early spring, increase the surface air temperature, reduce snow water equivalent amount, and lead to reduced snow accumulation and less spring snowmelt. These effects are stronger over the central Rockies and southern Alberta, where soot deposition and snowpack overlap the most. The indirect forcing of soot accelerates snowmelt and alters stream flows, including a trend toward earlier melt dates in the western United States. The soot-induced albedo reduction initiates a positive feedback process whereby dirty snow absorbs more solar radiation, heating the surface and warming the air. This warming causes reduced snow depth and fraction, which further reduces the regional surface albedo for the snow covered regions. Our simulations indicate that the change of maximum snow albedo induced by soot on snow contributes to 60% of the net albedo reduction over the central Rockies. Snowpack reduction accounts for the additional 40%.

  9. Tree Death Study's Climate Change Connections

    ScienceCinema (OSTI)

    McDowell, Nate

    2014-06-25

    What are the exact physiological mechanisms that lead to tree death during prolonged drought and rising temperatures? These are the questions that scientists are trying to answer at a Los Alamos National Laboratory research project called SUMO. SUMO stands for SUrvival/MOrtality study; it's a plot of land on the Lab's southern border that features 18 climate controlled tree study chambers and a large drought structure that limits rain and snowfall. Scientists are taking a wide variety of measurements over a long period of time to determine what happens during drought and warming, and what the connections and feedback loops might be between tree death and climate change.

  10. Tree Death Study's Climate Change Connections

    SciTech Connect (OSTI)

    McDowell, Nate

    2012-09-10

    What are the exact physiological mechanisms that lead to tree death during prolonged drought and rising temperatures? These are the questions that scientists are trying to answer at a Los Alamos National Laboratory research project called SUMO. SUMO stands for SUrvival/MOrtality study; it's a plot of land on the Lab's southern border that features 18 climate controlled tree study chambers and a large drought structure that limits rain and snowfall. Scientists are taking a wide variety of measurements over a long period of time to determine what happens during drought and warming, and what the connections and feedback loops might be between tree death and climate change.

  11. Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    M.W. Rabin, E.R. Birnbaum. "Isolation of Ho-163 from Dysprosium Target Material by HPLC for Neutrino Mass Measurements." Radiochimica Acta (2015) DOI: 10.1515ract-2014-2362....

  12. ARM Airborne Carbon Measurement on the North Slope

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Airborne Carbon Measurement on the North Slope During the summer of 2015, a research campaign gave scientists insight into trends and variability of trace gases in the atmosphere over the Atmospheric Radiation Measurement (ARM) Climate Research Facility's North Slope of Alaska site to improve Arctic climate models. The ARM Airborne Carbon Measurements (ARM-ACME) campaign-finalizing the fifth phase in the Arctic-is providing a new observational perspective on the Earth's carbon cycle, and how

  13. Impact of Infiltration and Ventilation on Measured Space Conditioning Energy and Moisture Levels in the Hot-Humid Climate, Cocoa, Florida (Fact Sheet), Building America Case Study: Technology Solutions for New and Existing Homes, Building Technologies Office (BTO)

    Energy Savers [EERE]

    Impact of Infiltration and Ventilation on Measured Space Conditioning Energy and Moisture Levels in the Hot-Humid Climate Cocoa, Florida PROJECT INFORMATION Project Name: Flexible Residential Test Facility Location: Cocoa, FL Partners: Florida Energy Systems Consortium www.floridaenergy.ufl.edu/ Building America Partnership for Improved Residential Construction, www.ba-pirc.org Building Components: Infiltration and ventilation Application: Single-family Year Tested: 2012-2013 Applicable Climate

  14. Measures used to tackle environmental problems related to global warming and climate change resulting from the use of coal

    SciTech Connect (OSTI)

    Hoppe, J.A.

    1996-12-31

    Environmental issues continue to play a major role in strategic planning associated with the use of coal for power generation. Problems, such as Acid Rain resulting from SO{sub 2} emissions produced from the sulfur content of coal during coal combustion, have recently cornered the attention of policy makers and planners. More recently the carbon content of coal, which provides for most of the coals heating value, has been identified as the major contributor to the production of CO{sub 2} and other emissions associated with Global Warming and Climate Change. Total world carbon emissions resulting from the burning of fossil fuels were approximately 6 billion metric tons in 1990, of which 44% were from the consumption of oil, 39% from coal, and 17% from natural gas. Assuming no change in current regulations, carbon emissions are anticipated to grow by 1.5% per year, and are predicted to reach more than 8 billion tons by the year 2010. Most of this increase in carbon emissions is expected to come from developing countries in the Asian Pacific Region such as China where coal use dominates the power production industry and accounts for 71% of its total CO{sub 2} emissions. Asian Pacific coal demand is expected to double over the next 15 years accounting for a 46% increase in total primary energy demand, and China currently produces approximately 11% of the world`s global greenhouse gas emissions which is expected to grow to 15% by the year 2010.

  15. Indoor Measurements of Environmental Tobacco Smoke Final Report to the Tobacco Related Disease Research Program

    SciTech Connect (OSTI)

    Apte, Michael G.; Gundel, Lara A.; Dod, Raymond L.; Russell, Marion L.; Singer, Brett C.; Sohn, Michael D.; Sullivan, Douglas P.; Chang, Gee-Minn; Sextro, Richard G.

    2004-03-02

    The objective of this research project was to improve the basis for estimating environmental tobacco smoke (ETS) exposures in a variety of indoor environments. The research utilized experiments conducted in both laboratory and ''real-world'' buildings to (1) study the transport of ETS species from room to room, (2) examine the viability of using various chemical markers as tracers for ETS, and (3) to evaluate to what extent re-emission of ETS components from indoor surfaces might add to the ETS exposure estimates. A three-room environmental chamber was used to examine multi-zone transport and behavior of ETS and its tracers. One room (simulating a smoker's living room) was extensively conditioned with ETS, while a corridor and a second room (simulating a child's bedroom) remained smoking-free. A series of 5 sets of replicate experiments were conducted under different door opening and flow configurations: sealed, leaky, slightly ajar, wide open, and under forced air-flow conditions. When the doors between the rooms were slightly ajar the particles dispersed into the other rooms, eventually reaching the same concentration. The particle size distribution took the same form in each room, although the total numbers of particles in each room depended on the door configurations. The particle number size distribution moved towards somewhat larger particles as the ETS aged. We also successfully modeled the inter-room transport of ETS particles from first principles--using size fractionated particle emission factors, predicted deposition rates, and thermal temperature gradient driven inter-room flows, This validation improved our understanding of bulk inter-room ETS particle transport. Four chemical tracers were examined: ultraviolet-absorbing particulate matter (UVPM), fluorescent particulate matter (FPM), nicotine and solanesol. Both (UVPM) and (FPM) traced the transport of ETS particles into the non-smoking areas. Nicotine, on the other hand, quickly adsorbed on unconditioned surfaces so that nicotine concentrations in these rooms remained very low, even during smoking episodes. These findings suggest that using nicotine as a tracer of ETS particle concentrations may yield misleading concentration and/or exposure estimates. The results of the solanesol analyses were compromised, apparently by exposure to light during collection (lights in the chambers were always on during the experiments). This may mean that the use of solanesol as a tracer is impractical in ''real-world'' conditions. In the final phase of the project we conducted measurements of ETS particles and tracers in three residences occupied by smokers who had joined a smoking cessation program. As a pilot study, its objective was to improve our understanding of how ETS aerosols are transported in a small number of homes (and thus, whether limiting smoking to certain areas has an effect on ETS exposures in other parts of the building). As with the chamber studies, we examined whether measurements of various chemical tracers, such as nicotine, solanesol, FPM and UVPM, could be used to accurately predict ETS concentrations and potential exposures in ''real-world'' settings, as has been suggested by several authors. The ultimate goal of these efforts, and a future larger multiple house study, is to improve the basis for estimating ETS exposures to the general public. Because we only studied three houses no firm conclusions can be developed from our data. However, the results for the ETS tracers are essentially the same as those for the chamber experiments. The use of nicotine was problematic as a marker for ETS exposure. In the smoking areas of the homes, nicotine appeared to be a suitable indicator; however in the non-smoking regions, nicotine behavior was very inconsistent. The other tracers, UVPM and FPM, provided a better basis for estimating ETS exposures in the ''real world''. The use of solanesol was compromised--as it had been in the chamber experiments.

  16. Berkeley Lab Climate Software Honored for Pattern Recognition...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    TECA is enabling climate scientists to extract value from large-scale simulation and observational datasets." Related reading: Weathering the Flood of Big Data in Climate Research...

  17. Report on activities and findings under DOE grant “Collaborative research. An Interactive Multi-Model for Consensus on Climate Change”

    SciTech Connect (OSTI)

    Duane, Gregory S.; Tsonis, Anastasios; Kocarev, Ljupco; Tribbia, Joseph

    2015-10-30

    The project takes a hierarchical approach. The supermodeling scheme was first studied exhaustively with simple systems of ordinary differential equations. Results were described in detail in the previous report. The principal findings were that 1) for highly non-linear systems, such as Lorenz-63, including systems which describe phenomena on very different (atmosphere/ocean) times scales, supermodeling is far superior to any form of output-averaging; 2) negative coefficients can be used to advantage in situations where all models err in the same way, but to different degrees; 3) an interesting variant of supermodeling, “weighted supermodeling”, is the limiting case where inter-model nudging coefficients in the originally conceived “connected supermodel” become infinite, but with fixed ratios, corresponding to a direct combination of the tendencies that appear in corresponding equations for the alternative models; 4) noise is useful for avoiding local optima in training the inter-model coefficients in the supermodel. The supermodeling scheme was then investigated with simple quasigeostrophic (QG) models. As described in the previous report, it was found that QG models on a sphere can be coupled most efficaciously by working in a basis which captures the most variance, rather than the most instability, a somewhat unexpected result that still deserves scrutiny in a broader context. Further studies (since the last report) with QG channel models addressed the central question of when supermodeling is superior to output averaging in situations where nonlinearites are less extreme than with the ODEs initially studied. It was found that for realistic variations in a parameter in the QG model, output averaging is sufficient to capture all but the most subtle quantitative and qualitative behavior. Supermodeling helps when qualitative differences between the models result from unrealistically large parameter differences, or when very detailed spatial structure of the modes of variability are of interest. Therefore, the scheme may still be useful in the case of full climate models with qualitatively different parametrization schemes. A supermodel was constructed from the intermediate-complexity SPEEDO model, a primitive equation model with ocean and land. Versions defined by different parameter choices, in a realistic range, were connected and the coefficients trained. Some improvement was found as compared to output averaging. The learning algorithm used thus far gives sub-optimal, but still useful results when the CO2 level and other parameters are varied. Spatial structure remains to be studied. The first use of supermodeling with full climate models has been with variants of the ECHAM model that use different convection schemes. As yet the models are only connected at the ocean-atmosphere interface, where weighted combinations of fluxes from the two atmospheres are passed to a common ocean, and the weights adapted during a training period. The supermodel was surprisingly successful at avoiding unrealistic features such as the double-ITCZ (Intertropical Convergence Zone), a problem that arises in both of the two models run separately. The supermodels constructed thus far have not identified dynamical regime shifts in future climate. Thus the planned connection with the work of Tsonis on the relationship between regime shifts and synchronization/de-synchronization among the major climate modes (see U. Wisconsin report) has not yet been made. However the network analysis of the climate system, in observations and models, that was done in conjunction with that study, shows that models differ strongly from one another and from observations in regard to the dynamical structure described by correlation networks [Steinhaeuser and Tsonis 2013], providing a further justification for supermodeling. Toward a general software framework for supermodeling, three versions of CAM (the Community Atmosphere Model) at NCAR were configured for inter-model nudging using the DART (Data Assimilation Research Testbed) capability to stop and re-start models in synchrony. It was clearly established that the inter-model nudging adds almost no computational burden to the runs, but there appears to be a problem with the re-initialization software that is still being debugged. Publications: Several papers were published on the basic idea of the interactive multi-model (supermodel) including demonstrations with low-order ODEs. The last of these, a semi-philosophical review paper on the relevance of synchronization generally, encountered considerable resistance but was finally published in Entropy [Duane 2015]. A paper on the ECHAM/COSMOS supermodel, containing the most promising results so far [Shen et al. 2015] is presently under review.

  18. Global climate change and international security.

    SciTech Connect (OSTI)

    Karas, Thomas H.

    2003-11-01

    This report originates in a workshop held at Sandia National Laboratories, bringing together a variety of external experts with Sandia personnel to discuss 'The Implications of Global Climate Change for International Security.' Whatever the future of the current global warming trend, paleoclimatic history shows that climate change happens, sometimes abruptly. These changes can severely impact human water supplies, agriculture, migration patterns, infrastructure, financial flows, disease prevalence, and economic activity. Those impacts, in turn, can lead to national or international security problems stemming from aggravation of internal conflicts, increased poverty and inequality, exacerbation of existing international conflicts, diversion of national and international resources from international security programs (military or non-military), contribution to global economic decline or collapse, or international realignments based on climate change mitigation policies. After reviewing these potential problems, the report concludes with a brief listing of some research, technology, and policy measures that might mitigate them.

  19. Climate and Environmental Sciences Division (CESD) | U.S. DOE Office of

    Office of Science (SC) Website

    Science (SC) Climate and Environmental Sciences Division (CESD) Biological and Environmental Research (BER) BER Home About Research Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research (ASR) Program Data Management Earth System Modeling (ESM) Program William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Integrated Assessment of Global Climate Change Regional & Global Climate

  20. Integrated Assessment of Global Climate Change | U.S. DOE Office of Science

    Office of Science (SC) Website

    (SC) Integrated Assessment of Global Climate Change Biological and Environmental Research (BER) BER Home About Research Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research (ASR) Program Data Management Earth System Modeling (ESM) Program William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Integrated Assessment of Global Climate Change Regional & Global Climate Modeling

  1. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    in Climate Models: Results from TC4 and ISDAC Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., DOE - SunShot Initiative, AAAS S&T...

  2. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Adoption of RRTMG in the NCAR CAM5 and CESM1 Global Climate Models Download a printable PDF Submitter: Iacono, M. J., Atmospheric & Environmental Research, Inc. Collins, W. D.,...

  3. Research Facility,

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Delivering the Data As a general condition for use of the ARM Climate Research Facility, users are required to include their data in the ARM Data Archive. All data acquired...

  4. Mexico City air quality research initiative. Volume IV. Characterization and measurement

    SciTech Connect (OSTI)

    Mauzy, A.

    1994-04-01

    This volume describes the methods and the data gathered in an attempt to measure and characterize the meteorological factors and the concentration of different pollutants in the Mexico City Metropolitan Area. The main objective of this document was to provide input for the simulation models and to obtain information that could be used to test and improve the models` performance. Four field campaigns were conducted, as well as routine monitoring, in order to obtain a database of atmospheric dynamics and air pollution characteristics. Sections include Airborne measurements, Remote sensing measurements, and Traditional (in situ) measurements.

  5. climate change | OpenEI Community

    Open Energy Info (EERE)

    climate change Home Graham7781's picture Submitted by Graham7781(2017) Super contributor 18 January, 2013 - 15:46 U.S. Global Change Research Program publishes "National Climate...

  6. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Twenty Years Serving Climate Science Download a printable PDF Submitter: Mather, J. H., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mather JH and JW Voyles. 2013. "The ARM Climate Research Facility: a review of structure and capabilities." Bulletin of the American Meteorological Society, 94(3), doi:10.1175/BAMS-D-11-00218.1. A scanning ARM

  7. NETL: Onsite Research & Development Programs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Portfolio Coal Research In response to concerns of climate change, the United ... The onsite research activities focus on retaining the benefits of continuing to use coal ...

  8. Global climate feedbacks

    SciTech Connect (OSTI)

    Manowitz, B.

    1990-10-01

    The important physical, chemical, and biological events that affect global climate change occur on a mesoscale -- requiring high spatial resolution for their analysis. The Department of Energy has formulated two major initiatives under the US Global Change Program: ARM (Atmospheric Radiation Measurements), and CHAMMP (Computer Hardware Advanced Mathematics and Model Physics). ARM is designed to use ground and air-craft based observations to document profiles of atmospheric composition, clouds, and radiative fluxes. With research and models of important physical processes, ARM will delineate the relationships between trace gases, aerosol and cloud structure, and radiative transfer in the atmosphere, and will improve the parameterization of global circulation models. The present GCMs do not model important feedbacks, including those from clouds, oceans, and land processes. The purpose of this workshop is to identify such potential feedbacks, to evaluate the uncertainties in the feedback processes (and, if possible, to parameterize the feedback processes so that they can be treated in a GCM), and to recommend research programs that will reduce the uncertainties in important feedback processes. Individual reports are processed separately for the data bases.

  9. Climate Change and National Security

    SciTech Connect (OSTI)

    Malone, Elizabeth L.

    2013-02-01

    Climate change is increasingly recognized as having national security implications, which has prompted dialogue between the climate change and national security communities – with resultant advantages and differences. Climate change research has proven useful to the national security community sponsors in several ways. It has opened security discussions to consider climate as well as political factors in studies of the future. It has encouraged factoring in the stresses placed on societies by climate changes (of any kind) to help assess the potential for state stability. And it has shown that, changes such as increased heat, more intense storms, longer periods without rain, and earlier spring onset call for building climate resilience as part of building stability. For the climate change research community, studies from a national security point of view have revealed research lacunae, for example, such as the lack of usable migration studies. This has also pushed the research community to consider second- and third-order impacts of climate change, such as migration and state stability, which broadens discussion of future impacts beyond temperature increases, severe storms, and sea level rise; and affirms the importance of governance in responding to these changes. The increasing emphasis in climate change science toward research in vulnerability, resilience, and adaptation also frames what the intelligence and defense communities need to know, including where there are dependencies and weaknesses that may allow climate change impacts to result in security threats and where social and economic interventions can prevent climate change impacts and other stressors from resulting in social and political instability or collapse.

  10. ARM - Research Support for International Polar Year (IPY)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Polar YearResearch Support for International Polar Year (IPY) Research Support International Polar Year Begins at ACRF with 3-week Campaign in Barrow Aerosol Affects on Clouds To Be Studied Yearlong Study to Improve Polar Measurements of Radiative Energy Education Efforts Educational Kiosk CD Available at No Cost-Request Yours Today! POLAR-PALOOZA: Climate science goes on tour! Partnership Extends Support for National Science Teacher Conference Teacher's Domain Combines Culture and Climate Other

  11. Solar Resource Measurements at FPL Energy - Equipment Only. Cooperative Research and Development Final Report, CRADA Number CRD-08-283

    SciTech Connect (OSTI)

    Dooraghi, Mike

    2015-05-07

    Site-specific, long-term, continuous, and high-resolution measurements of solar irradiance are important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: Establish a national 30-year climatological database of measured solar irradiances; Provide high quality ground-truth data for satellite remote sensing validation; Support development of radiative transfer models for estimating solar irradiance from available meteorological observations; Provide solar resource information needed for technology deployment and operations.

  12. Idaho National Laboratory/Nuclear Power Industry Strategic Plan for Light Water Reactor Research and Development An Industry-Government Partnership to Address Climate Change and Energy Security

    SciTech Connect (OSTI)

    Electric Power Research

    2007-11-01

    The dual issues of energy security and climate change mitigation are driving a renewed debate over how to best provide safe, secure, reliable and environmentally responsible electricity to our nation. The combination of growing energy demand and aging electricity generation infrastructure suggests major new capacity additions will be required in the years ahead.

  13. Sandia Energy - Climate Measurement & Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the black carbon lifecycle and for methane detection and attribution in the Arctic environment. Sandia's extensive expertise in accounting for uncertainties in...

  14. ARM - Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Climate Climate refers to the long-term changes in atmospheric conditions including temperature, rainfall, wind, humidity, pressure and cloudiness. One would need to take into account the fact that superimposed on the arithmetical average of

  15. Connecting Organic Aerosol Climate-Relevant Properties to Chemical Mechanisms of Sources and Processing

    SciTech Connect (OSTI)

    Thornton, Joel

    2015-01-26

    The research conducted on this project aimed to improve our understanding of secondary organic aerosol (SOA) formation in the atmosphere, and how the properties of the SOA impact climate through its size, phase state, and optical properties. The goal of this project was to demonstrate that the use of molecular composition information to mechanistically connect source apportionment and climate properties can improve the physical basis for simulation of SOA formation and properties in climate models. The research involved developing and improving methods to provide online measurements of the molecular composition of SOA under atmospherically relevant conditions and to apply this technology to controlled simulation chamber experiments and field measurements. The science we have completed with the methodology will impact the simulation of aerosol particles in climate models.

  16. Russian surety research projects in the Sandia National Laboratories Cooperative Measures Program

    SciTech Connect (OSTI)

    Smith, R.E.

    1996-07-01

    Over forty safety and security related research and development projects have been initiated between Sandia National Laboratories and the Russian nuclear weapons laboratories VNIIEF and VNIITF. About half of these projects have been completed. All relate to either safety or security methodology development, processes, accident environment analysis and testing, accident databases, assessments or product design of devices. All projects have a potential benefit to various safety or security programs and some may directly have commercial applications. In general, these projects could benefit risk assessments associated with systems that could result in accidents or incidents having high public consequences. These systems typically have already been engineered to have very low assessed probabilities of occurrence of such accidents or incidents. This paper gives an overview of the Sandia surety program with a focus on the potential for future collaboration between Sandia, three Russian Institutes; VNIIEF, VNIITF and VNIIA, and other industry and government organizations. The intent is to serve as an introduction to a roundtable session on Russian Safety Collaboration at the 14th International System Safety Conference. The current Sandia collaboration program scope and rationale is presented along with the evolved program focus. An overview of the projects is given and a few specific projects are briefly highlighted with tangible results to date.

  17. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate? Submitter: Prenni, A. J., Colorado State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Prenni, A. J., J. Y. Harrington, M. Tjernstrom, P. J. DeMott, A. Avramov, C. N. Long, S. M. Kreidenweis, P. Q. Olsson, and J. Verlinde, (2006): Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate?, BAMS, Vol.88, Iss. 4; pg. 541-550. ACIA, 2004: Impacts of a Warming

  18. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Impact of Horizontal Resolution on Climate Model Simulations of Tropical Moist Processes Download a printable PDF Submitter: Boyle, J., Lawrence Livermore National Laboratory Klein, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Boyle JS and SA Klein. 2010. "Impact of horizontal resolution on climate model forecasts of tropical precipitation and diabatic heating

  19. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Tackling Tropical Convection in Climate Models Submitter: Zhang, G., University of California, San Diego Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Zhang, G. J., and H. Wang, 2006. Toward mitigating the double ITCZ problem in NCAR CCSM3, Geophys. Res. Lett., 33, L06709, doi:10.1029/2005GL025229 (23 March 2006). Figure 1. Climate models commonly suffer from a problem known as the double-ITCZ, which is

  20. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Weather Forecasts Help to Understand Climate Model Biases Submitter: Klein, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Klein, Stephen A., X. Jiang, J. Boyle, S. Malyshev, and S. Xie, 2006: Diagnosis of the summertime warm and dry bias over the U. S. Southern Great Plains in the GFDL climate model using a weather forecasting approach. Geophys. Res. Lett., 33,

  1. Abrupt Climate Change and the Atlantic Meridional Overturning Circulation: sensitivity and non-linear response to Arctic/sub-Arctic freshwater pulses. Collaborative research. Final report

    SciTech Connect (OSTI)

    Hill, Christopher

    2015-06-15

    This project investigated possible mechanisms by which melt-water pulses can induce abrupt change in the Atlantic Meridional Overturning Circulation (AMOC) magnitude. AMOC magnitude is an important ingredient in present day climate. Previous studies have hypothesized abrupt reduction in AMOC magnitude in response to influxes of glacial melt water into the North Atlantic. Notable fresh-water influxes are associated with the terminus of the last ice age. During this period large volumes of melt water accumulated behind retreating ice sheets and subsequently drained rapidly when the ice weakened sufficiently. Rapid draining of glacial lakes into the North Atlantic is a possible origin of a number of paleo-record abrupt climate shifts. These include the Younger-Dryas cooling event and the 8,200 year cooling event. The studies undertaken focused on whether the mechanistic sequence by which glacial melt-water impacts AMOC, which then impacts Northern Hemisphere global mean surface temperature, is dynamically plausible. The work has implications for better understanding past climate stability. The work also has relevance for today’s environment, in which high-latitude ice melting in Greenland appears to be driving fresh water outflows at an accelerating pace.

  2. NREL: Technology Deployment - Climate Action Planning Tool

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Home Technology Deployment Climate Action Planning Tool Technology Deployment - Climate Action Planning Tool NREL's Climate Action Planning Tool provides a quick, basic estimate of how various technology options can contribute to an overall climate action plan for your research campus. Use the tool to identify which options will lead to the most significant reductions in consumption of fossil fuels and in turn meet greenhouse gas reduction goals. Follow these four steps: Gather baseline energy

  3. Carbon dioxide and climate

    SciTech Connect (OSTI)

    Not Available

    1990-10-01

    Scientific and public interest in greenhouse gases, climate warming, and global change virtually exploded in 1988. The Department's focused research on atmospheric CO{sub 2} contributed sound and timely scientific information to the many questions produced by the groundswell of interest and concern. Research projects summarized in this document provided the data base that made timely responses possible, and the contributions from participating scientists are genuinely appreciated. In the past year, the core CO{sub 2} research has continued to improve the scientific knowledge needed to project future atmospheric CO{sub 2} concentrations, to estimate climate sensitivity, and to assess the responses of vegetation to rising concentrations of CO{sub 2} and to climate change. The Carbon Dioxide Research Program's goal is to develop sound scientific information for policy formulation and governmental action in response to changes of atmospheric CO{sub 2}. The Program Summary describes projects funded by the Carbon Dioxide Research Program during FY 1990 and gives a brief overview of objectives, organization, and accomplishments.

  4. Arctic Climate Systems Analysis

    SciTech Connect (OSTI)

    Ivey, Mark D.; Robinson, David G.; Boslough, Mark B.; Backus, George A.; Peterson, Kara J.; van Bloemen Waanders, Bart G.; Swiler, Laura Painton; Desilets, Darin Maurice; Reinert, Rhonda Karen

    2015-03-01

    This study began with a challenge from program area managers at Sandia National Laboratories to technical staff in the energy, climate, and infrastructure security areas: apply a systems-level perspective to existing science and technology program areas in order to determine technology gaps, identify new technical capabilities at Sandia that could be applied to these areas, and identify opportunities for innovation. The Arctic was selected as one of these areas for systems level analyses, and this report documents the results. In this study, an emphasis was placed on the arctic atmosphere since Sandia has been active in atmospheric research in the Arctic since 1997. This study begins with a discussion of the challenges and benefits of analyzing the Arctic as a system. It goes on to discuss current and future needs of the defense, scientific, energy, and intelligence communities for more comprehensive data products related to the Arctic; assess the current state of atmospheric measurement resources available for the Arctic; and explain how the capabilities at Sandia National Laboratories can be used to address the identified technological, data, and modeling needs of the defense, scientific, energy, and intelligence communities for Arctic support.

  5. Geoengineering the Earth's Climate

    ScienceCinema (OSTI)

    Google Tech Talks

    2009-09-01

    Emergency preparedness is generally considered to be a good thing, yet there is no plan regarding what we might do should we be faced with a climate emergency. Such an emergency could take the form of a rapid shift in precipitation patterns, a collapse of the great ice sheets, the imminent triggering of strong climate system feedbacks, or perhaps the loss of valuable ecosystems. Over the past decade, we have used climate models to investigate the potential to reverse some of the effects of greenhouse gases in the atmosphere by deflecting some incoming sunlight back to space. This would probably be most cost-effectively achieved with the placement of small particles in or above the stratosphere. Our model simulations indicate that such geoengineering approaches could potentially bring our climate closer to the state is was in prior to the introduction of greenhouse gases. This talk will present much of what is known about such geoengineering approaches, and raise a range of issues likely to stimulate lively discussion. Speaker: Ken Caldeira Ken Caldeira is a scientist at the Carnegie Institution Department of Global Ecology and a Professor (by courtesy) at the Stanford University Department of Environmental and Earth System Sciences. Previously, he worked for 12 years in the Energy and Environment Directorate at the Lawrence Livermore National Laboratory (Department of Energy). His research interests include the numerical simulation of Earth's climate, carbon, and biogeochemistry; ocean acidification; climate emergency response systems; evaluating approaches to supplying environmentally-friendly energy services; ocean carbon sequestration; long-term evolution of climate and geochemical cycles; and marine biogeochemical cycles. Caldeira has a B.A. in Philosophy from Rutgers College and an M.S. and Ph.D. in Atmospheric Sciences from New York University.

  6. Climate-Energy Nexus

    SciTech Connect (OSTI)

    Gary Sayler; Randall Gentry; Jie Zhuang

    2010-07-01

    The 140-page published proceedings of the workshop include individual articles and PowerPoint slides for all workshop presentations. The proceedings also contain pertinent background information on the China-US Joint Research Center, partnering organizations, and workshop goals and objectives. Overall, the workshop increased the understanding of the impacts of climate change on energy use and renewable energy production as well as the complex relationships among land use, energy production, and ecological restoration. The workshop served as an international platform for scientists and students of different research backgrounds to develop a unified perspective on energy and climate relationships. Such understanding will benefit future cooperation between China and the US in mitigating global climate change. The workshop’s agenda, which is highly interdisciplinary, explored many potential opportunities for international collaboration in ecosystem management, climate modeling, greenhouse gas emissions, and bioenergy sustainability. International research groups have been suggested in the areas of genomes and biotechnology of energy plants, sustainable management of soil and water resources, carbon sequestration, and microbial processes for ecological cycles. The project has attracted considerable attention from institutes beyond the China-US Joint Research Center partners, and several of them (such as Institute of Qing-Tibet Plateau Research, Institute of Soil and Water Conservation, Institute of Applied Ecology, CAS) have expressed interest in joining the partnership. In addition, the workshop played a significant role in facilitating establishment of private-public partnerships between government and private bioenergy companies (such as L.R. Shugarts and Associates, Inc.), including seed providers (Blade Energy Crops, Thousand Oaks, CA), pilot demonstration projects at coal-producing cities (e.g., Huaibei, Anhui province, China), and the development of methodology for assessment of the sustainable production of biofuels (such as life-cycle analysis, sustainability metrics, and land-use policy). Establishment of two US-China scientific research networks in the area of bioenergy and environmental science is a significant result of the workshop.

  7. Improved Rotating Shadowband Radiometer Measurement Performance: Cooperative Research and Development Final Report, CRADA Number CRD-08-294

    SciTech Connect (OSTI)

    Andreas, A. M.

    2015-02-01

    Under this Agreement, NREL will work with Participant to improve rotating shadowband radiometer (RSR) performance characterizations. This work includes, but is not limited to, research and development for making the RSR a more accurate and fully characterized instrument for solar power technology development and commercial solar power project site assessment. Cooperative R&D is proposed in three areas: instrument calibration, instrument field configuration and operation, and measurement extrapolation and interpolation using satellite images. This work will be conducted at NREL and Participant facilities.

  8. Measurement

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    magnetic fluctuation-induced particle flux "invited... a... W. X. Ding, D. L. Brower, and T. Y. Yates Department of Physics and Astronomy, University of California-Los Angeles, Los Angeles, California 90095, USA Í‘Presented 13 May 2008; received 12 May 2008; accepted 16 May 2008; published online 31 October 2008Í’ Magnetic field fluctuation-induced particle transport has been directly measured in the high-temperature core of the MST reversed field pinch plasma. Measurement of radial

  9. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Long-Term Observations of Convective Boundary Layer Using Insect Returns at SGP Download a printable PDF Submitter: Chandra, A. S., McGill University Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Chandra AS, P Kollias, SE Giangrande, and SA Klein. 2010. "Long-term observations of the convective boundary layer using insect radar returns at the SGP ARM Climate Research Facility." Journal of Climate, 23, 5699-5714. Example of time-height mapping

  10. Climate variability and climate change vulnerability and adaptation. Workshop summary

    SciTech Connect (OSTI)

    Bhatti, N.; Cirillo, R.R.; Dixon, R.K.

    1995-12-31

    Representatives from fifteen countries met in Prague, Czech Republic, on September 11-15, 1995, to share results from the analysis of vulnerability and adaptation to global climate change. The workshop focused on the issues of global climate change and its impacts on various sectors of a national economy. The U.N. Framework Convention on Climate Change (FCCC), which has been signed by more than 150 governments worldwide, calls on signatory parties to develop and communicate measures they are implementing to respond to global climate change. An analysis of a country`s vulnerability to changes in the climate helps it identify suitable adaptation measures. These analyses are designed to determine the extent of the impacts of global climate change on sensitive sectors such as agricultural crops, forests, grasslands and livestock, water resources, and coastal areas. Once it is determined how vulnerable a country may be to climate change, it is possible to identify adaptation measures for ameliorating some or all of the effects.The objectives of the vulnerability and adaptation workshop were to: The objectives of the vulnerability and adaptation workshop were to: Provide an opportunity for countries to describe their study results; Encourage countries to learn from the experience of the more complete assessments and adjust their studies accordingly; Identify issues and analyses that require further investigation; and Summarize results and experiences for governmental and intergovernmental organizations.

  11. Special Lecture - Climate Prisms: Understanding Climate Change...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Special Lecture - Climate Prisms Special Lecture - Climate Prisms: Understanding Climate Change for All WHEN: Feb 17, 2015 5:30 PM - 7:00 PM WHERE: Bradbury Science Museum, 1350...

  12. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect (OSTI)

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs’ capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in physics parameterizations in both GCMs and RCMs remain a priority for climate modeling community.

  13. Berkeley Lab Climate Software Honored for Pattern Recognition...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    simulation and observational datasets." Related reading: Weathering the Flood of Big Data in Climate Research About NERSC and Berkeley Lab The National Energy Research...

  14. Solar Resources Measurements in Houston, TX -- Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-06-204

    SciTech Connect (OSTI)

    Stoffel, T.

    2012-09-01

    Loaning Texas Southern University equipment in order to perform site-specific, long-term, continuous, and high-resolution measurements of solar irradiance is important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: (1) establish a national 30-year climatological database of measured solar irradiances; (2) provide high quality ground-truth data for satellite remote sensing validation; (3) support development of radiative transfer models for estimating solar irradiance from available meteorological observations; (4) provide solar resource information needed for technology deployment and operations. Data acquired under this agreement will be available to the public through NREL's Measurement & Instrumentation Data Center - MIDC (http://www.nrel.gov/midc) Or the Renewable Resource Data Center - RReDC (http://rredc.nrel.gov). The MIDC offers a variety of standard data display, access, and analysis tools designed to address the needs of a wide user audience (e.g., industry, academia, and government interests).

  15. Global Climate & Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia, DOE Energy Storage Program, GeneSiC Semiconductor, U.S. Army ARDEC: Ultra-High-Voltage Silicon Carbide Thyristors Capabilities, Distribution Grid Integration, Energy, Energy Efficiency, Energy Storage Systems, Global Climate & Energy, Grid Integration, Infrastructure Security, Materials Science, Partnership, Research & Capabilities, SMART Grid, Systems Engineering, Transmission Grid Integration Sandia, DOE Energy Storage Program, GeneSiC Semiconductor, U.S. Army ARDEC:

  16. Simulation of landscape disturbances and the effect of climatic change

    SciTech Connect (OSTI)

    Baker, W.L.

    1993-01-29

    The purpose of this research is to understand how changes in climate may affect the structure of landscapes that are subject to periodic disturbances. A general model useful for examining the linkage between climatic change and landscape change has been developed. The model makes use of synoptic climatic data, a geographical information system (GRASS), field data on the location of disturbance patches, simulation code written in the SIMSCRIPT language, and a set of landscape structure analysis programs written specifically for this research project. A simplified version of the model, lacking the climatic driver, has been used to analyze how changes in disturbance regimes (in this case settlement and fire suppression) affect landscape change. Landscape change lagged in its response to changes in the disturbance regime, but the lags differed depending upon the character of the change and the particular measure considered. The model will now be modified for use in a specific setting to analyze the effects of changes in climate on the structure of flood-disturbed patches along the Animas River, Colorado.

  17. Implications of simultaneously mitigating and adapting to climate change: Initial experiments using GCAM

    SciTech Connect (OSTI)

    Calvin, Katherine V.; Wise, Marshall A.; Clarke, Leon E.; Edmonds, James A.; Kyle, G. Page; Luckow, Patrick W.; Thomson, Allison M.

    2013-04-01

    Historically climate impacts research and climate mitigation research have been two separate and independent domains of inquiry. Climate mitigation research has investigated greenhouse gas emissions assuming that climate is unchanging. At the same time climate mitigation research has investigated the implications of climate change on the assumption that climate mitigation will proceed without affecting the degree of climate impacts or the ability of human and natural systems to adapt. The Global Change Assessment Model (GCAM) has largely been employed to study climate mitigation. Here we explore the development of capabilities to assess climate change impacts and adaptation within the GCAM model. These capabilities are being developed so as to be able to simultaneously reconcile the joint implications of climate change mitigation, impacts and adaptive potential. This is an important step forward in that it enables direct comparison between climate mitigation activities and climate impacts and the opportunity to understand interactions between the two.

  18. Carbon dioxide effects research and assessment program. Environmental and societal consequences of a possible CO/sub 2/-induced climate change: volume II, part I. Response of the West Antarctic ice sheet to CO/sub 2/-induced climatic warming

    SciTech Connect (OSTI)

    Bentley, C.

    1982-04-01

    The paper proposes a research plan to deal with the question of what the response of the West Antarctic Ice Sheet would be to a rise in global temperatures caused by an anthropogenic CO/sub 2/ buildup in the atmosphere. The plan is designed to answer the following questions: (1) how fast is the ice mass changing now, and why; (2) how will the boundary conditions that affect the ice sheet respond to an atmospheric temperature change and how are those boundary conditions changing now; (3) what will be the response of the ice sheet to changes in boundary conditions; and (4) what can be learned by analogy with what has happened in the past. (ACR)

  19. Measurement

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    interpretation of micro benchmark and application energy use on the Cray XC30 Brian Austin, and Nicholas J. Wright ⇤ August 29, 2014 Abstract Understanding patterns of application energy use is key to reaching future HPC e ciency goals. We have measured the sensitivity of en- ergy use to CPU frequency for several microbenchmarks and applications on a Cray XC30. First order fits to the performance and power data are su cient to describe the energy used by these applications. Exam- ination of

  20. Measurement

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    core velocity fluctuations and the dynamo in a reversed-field pinch * D. J. Den Hartog, †,a) J. T. Chapman, b) D. Craig, G. Fiksel, P. W. Fontana, S. C. Prager, and J. S. Sarff Department of Physics, University of Wisconsin-Madison, 1150 University Avenue, Madison, Wisconsin 53706 ͑Received 16 November 1998; accepted 20 January 1999͒ Plasma flow velocity fluctuations have been directly measured in the high-temperature magnetically confined plasma in the Madison Symmetric Torus ͑MST͒

  1. Measurement

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 H( 7 Be, 8 B)Îł cross section by Ryan P. Fitzgerald A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Physics & Astronomy. Chapel Hill 2005 Approved: A. E. Champagne, Advisor J. C. Blackmon, Reader C. Iliadis, Reader ABSTRACT Ryan P. Fitzgerald: Measurement of the 1 H( 7 Be, 8 B)Îł cross section (Under the Direction of A. E. Champagne) The fusion

  2. Environmental research program: FY 1987, annual report

    SciTech Connect (OSTI)

    Not Available

    1988-03-01

    This multidisciplinary research program includes fundamental and applied research in physics, chemistry, engineering, and biology, as well as research on the development of advanced methods of measurement and analysis. The Program's Annual Report contains summaries of research performed during FY 1987 in the areas of atmospheric aerosols, flue gas chemistry, combustion, membrane bioenergetics, and analytical chemistry. The main research interests of the Atmospheric Aerosol Research group concern the chemical and physical processes that occur in haze, clouds, and fogs. For their studies, the group is developing novel analytical and research methods for characterizing aerosol species. Aerosol research is performed in the laboratory and in the field. Studies of smoke emissions from fires and their possible effects on climatic change, especially as related to nuclear winter, are an example of the collaboration between the Atmospheric Aerosol Research and Combustion Research Groups.

  3. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Arctic Aerosol Study Flies By Download a printable PDF Submitter: Schmid, B., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: ARM Climate Research Facility Operations Update, April 30, 2008, Edition Preliminary screening and analysis of images from the time-resolved aerosol collector indicate particles laden with carbon and sulfur. These data were obtained on April 8, 2008. Image courtesy of Alexander Laskin, PNNL. Images

  4. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Brass Ring of Climate Modeling Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ghan SJ, SJ Smith, M Wang, K Zhang, K Pringle, K Carslaw, J Pierce, S Bauer, and P Adams. 2013. "A simple model of global aerosol indirect effects." Journal of Geophysical Research - Atmospheres, 118, 1-20. The simple model of aerosol effects on clouds

  5. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Observational Analysis of Land-Atmosphere Coupling for Climate Model Evaluation Download a printable PDF Submitter: Phillips, T. J., Lawrence Livermore National Laboratory Klein, S., Lawrence Livermore National Laboratory Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Phillips TJ and SA Klein. 2014. "Land-atmosphere coupling manifested in warm-season observations on the U.S. southern great plains." Journal of Geophysical Research -

  6. Research Capabilities

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Capabilities Research Capabilities These capabilities are our science and engineering at work for the national security interest in areas from global climate to cyber security, from nonproliferation to new materials, from clean energy, to supercomputing. thumbnail of Bioscience At Los Alamos, scientists and engineers are working to unlock many of the mechanisms found in nature to improve humanity's ability to battle diseases, create new forms of environmentally friendly and abundant

  7. Instrument Development F.P.J. Valero P. Pilewskie NASA Ames Research Center

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    F.P.J. Valero P. Pilewskie NASA Ames Research Center Moffett Field, CA 94035-1000 Radiative proces,ses in the atmosphere are at the heart of anthropogenically induced climatic changes. High quality measurements of radiative parameters must be obtained to be able to characterize the way in which the interaction of radiation with the atmosphere results in climatic change and evolution. With the goal of contributing to the above objective we are developing state-of-the-art radiation measuring

  8. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Unique Properties of the Arctic Stratiform Cloud-Top Region Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Sedlar J, MD Shupe, and M Tjernström. 2011. "On the relationship between thermodynamic structure and cloud top, and its climate significance in the Arctic." Journal of Climate, 25(7), doi:10.1175/JCLI-D-11-00186.1. Occurrence frequency of low-level, stratiform cloud cases used in the analysis

  9. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Single-Column Modeling, GCM Parameterizations and ARM Data Submitter: Somerville, R. C., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Randall, D.A., K.-M. Xu, R.C.J. Somerville, and S. Iacobellis, 1996: "Single-Column Models and Cloud Ensemble Models as Links between Observations and Climate Models," J. Climate 9(8)1683-1697. Figure 1 Figure 2 Figure 3 Figure 4

  10. Simulator Developed to Drastically Reduce Time of Multijunction PV Device Efficiency Measurements (Fact Sheet), NREL Highlights, Research & Development

    SciTech Connect (OSTI)

    Not Available

    2011-11-01

    NREL's new simulator helps speed up research in the race to improve photovoltaic efficiency. Scientists at the National Renewable Energy Laboratory (NREL) needed a quick and accurate method to predict energy generated from multijunction photovoltaic (PV) test devices. This method had to take into account the nonlinear behavior of multijunction PV. NREL achieved this by developing the One-Sun Multi-Source Simulator (OSMSS), which reduces the time for this type of reference spectrum efficiency measurement from hours or days to minutes. The OSMSS is an automated, spectrally adjustable light source that builds a unique simulator spectrum that causes a multijunction PV device to behave as it would under a reference spectrum. This new simulator consists of four light sources separated into nine wavelength bands between 350 and 2,000 nm. The irradiance in each band is adjustable from zero to about 1.5 suns. All bands are recombined via optical fibers and integrating optics to produce a nearly 10 cm x 10 cm uniform spot. The operator simply links the OSMSS to the quantum efficiency data for the test device, and the OSMSS does the rest. The OSMSS can also determine the power as a function of the spectral irradiance (beyond the reference spectra), total irradiance, and temperature. Major components of the system were built to NREL specification by LabSphere, Inc. NREL developed a new, fully automated tool that rapidly builds a spectrum under which all junctions of a multijunction PV device behave as they would under a reference spectrum. Such a spectrum is essential to properly characterize multijunction devices. The OSMSS reduces the time for building spectra for current vs. voltage measurements from hours or days to minutes. This makes it possible to quickly characterize a multijunction device under many different conditions. The OSMSS will be an important tool to help predict the yearly energy output of a multijunction PV device in a particular environment when provided with a range of spectra and temperatures for that location.

  11. Tribal Climate Change Webinars: BIA's Climate Change Competitive...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Tribal Climate Change Webinars: BIA's Climate Change Competitive Award Process Overview Tribal Climate Change Webinars: BIA's Climate Change Competitive Award Process Overview...

  12. MCA4Climate - Guidance for scientifically sound climate change...

    Open Energy Info (EERE)

    MCA4Climate - Guidance for scientifically sound climate change planning Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Multicriteria Analysis for Climate (MCA4climate)...

  13. Atmospheric and Climate Science | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atmospheric and Climate Science Argonne research in aerosols, micro-meteorology, remote sensing, and atmospheric chemistry combined with our scalable, portable, high-performance climate and weather applications offer a unique look at the complexities of a dynamic planet. Changes in climate can affect biodiversity, the cost of food, our health, and even whole economies. Argonne is developing computational models and tools designed to shed light on complex biological processes and their economic,

  14. Climate Leadership Conference

    Broader source: Energy.gov [DOE]

    The annual Climate Leadership Conference convenes a global audience of climate, energy, and sustainability professionals to address climate change through policy, innovation, and business solutions. Now in its fifth year, the 2016 event will host the first U.S. climate conference post-Paris to further accelerate climate solutions and a low-carbon economy.

  15. DOE/ER-0441 Atmospheric Radiation Measurement Plan - February 1990

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Atmospheric Radiation Measurement Program Plan ARM Program Plan Forward In 1978 the Department of Energy initiated the Carbon Dioxide Research Program to address climate change from the increasing concentration of carbon dioxide in the atmosphere. Over the years the Program has studied the many facets of the issue, from the carbon cycle, the climate diagnostics, the vegetative effects, to the societal impacts. The Program is presently the Department's principal entry in the U.S. Global Change

  16. First Steps Toward a Quality of Climate Finance Scorecard (QUODA-CF): Creating a Comparative Index to Assess International Climate Finance Contributions

    SciTech Connect (OSTI)

    Sierra, Katherine; Roberts, Timmons; de Nevers, Michele; Langley, Claire; Smith, Cory

    2013-06-15

    Are climate finance contributor countries, multilateral aid agencies and specialized funds using widely accepted best practices in foreign assistance? How is it possible to measure and compare international climate finance contributions when there are as yet no established metrics or agreed definitions of the quality of climate finance? As a subjective metric, quality can mean different things to different stakeholders, while of donor countries, recipients and institutional actors may place quality across a broad spectrum of objectives. This subjectivity makes the assessment of the quality of climate finance contributions a useful and necessary exercise, but one that has many challenges. This work seeks to enhance the development of common definitions and metrics of the quality of climate finance, to understand what we can about those areas where climate finance information is available and shine a light on the areas where there is a severe dearth of data. Allowing for comparisons of the use of best practices across funding institutions in the climate sector could begin a process of benchmarking performance, fostering learning across institutions and driving improvements when incorporated in internal evaluation protocols of those institutions. In the medium term, this kind of benchmarking and transparency could support fundraising in contributor countries and help build trust with recipient countries. As a feasibility study, this paper attempts to outline the importance of assessing international climate finance contributions while describing the difficulties in arriving at universally agreed measurements and indicators for assessment. In many cases, data are neither readily available nor complete, and there is no consensus on what should be included. A number of indicators are proposed in this study as a starting point with which to analyze voluntary contributions, but in some cases their methodologies are not complete, and further research is required for a robust measurement tool to be created.

  17. Mississippi Climate & Hydrology Conference

    SciTech Connect (OSTI)

    Lawford, R.; Huang, J.

    2002-05-01

    The GEWEX Continental International Project (GCIP), which started in 1995 and completed in 2001, held its grand finale conference in New Orleans, LA in May 2002. Participants at this conference along with the scientists funded through the GCIP program are invited to contribute a paper to a special issue of Journal of Geophysical Research (JGR). This special JGR issue (called GCIP3) will serve as the final report on scientific research conducted by GCIP investigators. Papers are solicited on the following topical areas, but are not limited to, (1) water energy budget studies; (2) warm season precipitation; (3) predictability and prediction system; (4) coupled land-atmosphere models; (5) climate and water resources applications. The research areas cover observations, modeling, process studies and water resources applications.

  18. Climate Data Operators (CDO)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Data Operators (CDO) Climate Data Operators (CDO) Description and Overview CDO is a large tool set for working on climate data. NetCDF 34, GRIB including SZIP compression,...

  19. Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters Final Report to the Subsurface Biogeochemical Research Program

    SciTech Connect (OSTI)

    Day-Lewis, Frederick; Singha, Kamini; Haggerty, Roy; Johnson, Timothy; Binley, Andrew; Lane, John

    2014-03-10

    . In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Our study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area.

  20. Climate change cripples forests

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    during years with abnormally wet winters While we cannot observe future climate, Williams said, we can consider projections of future climate trends produced by a collection of...

  1. Climate change cripples forests

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Change Cripples Forests Climate change cripples forests A team of scientists concluded that in the warmer and drier Southwest of the near future, widespread tree mortality...

  2. Climate change cripples forests

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate change cripples forests Climate change cripples forests A team of scientists concluded that in the warmer and drier Southwest of the near future, widespread tree mortality...

  3. Climate Change Response

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    the Interior Climate Change Response "From the Everglades to the Great Lakes to Alaska and everywhere in between, climate change is a leading threat to natural and cultural ...

  4. Climate Modeling using High-Performance Computing

    SciTech Connect (OSTI)

    Mirin, A A

    2007-02-05

    The Center for Applied Scientific Computing (CASC) and the LLNL Climate and Carbon Science Group of Energy and Environment (E and E) are working together to improve predictions of future climate by applying the best available computational methods and computer resources to this problem. Over the last decade, researchers at the Lawrence Livermore National Laboratory (LLNL) have developed a number of climate models that provide state-of-the-art simulations on a wide variety of massively parallel computers. We are now developing and applying a second generation of high-performance climate models. Through the addition of relevant physical processes, we are developing an earth systems modeling capability as well.

  5. Climate selection and development of climate indicators

    SciTech Connect (OSTI)

    Bowen, W.M.; Moreno, S.; Olsen, A.R.

    1982-09-01

    A climate analysis procedure for selecting climate locations which would represent the variation in climate conditions throughout the United States is documented. Separate energy analysis projects for three building categories were to use the results of the climate location project. The categories are: commercial buildings (including multifamily residences), single family residences, and mobile homes. The overall objectives, approach, and method used for all three categories are presented, then the specific application of the general method to each building category is discussed. Climate selection results, conclusions, recommendations, and limits for each building category are presented within the description of the application of the method for that category. (LEW)

  6. Atmospheric System Research (ASR) Program | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Atmospheric System Research (ASR) Program Biological and Environmental Research (BER) BER Home About Research Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research (ASR) Program Data Management Earth System Modeling (ESM) Program William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Integrated Assessment of Global Climate Change Regional & Global Climate Modeling (RGCM) Program

  7. Subsurface Biogeochemical Research | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Subsurface Biogeochemical Research Biological and Environmental Research (BER) BER Home About Research Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research (ASR) Program Data Management Earth System Modeling (ESM) Program William R. Wiley Environmental Molecular Sciences Laboratory (EMSL) Integrated Assessment of Global Climate Change Regional & Global Climate Modeling (RGCM) Program Subsurface

  8. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A Climatology of Midlatitude Continental Cloud Properties and Their Impact on the Surface Radiation Budget Submitter: Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Dong, X., P. Minnis, and B. Xi, 2005: A climatology of midlatitude continental clouds from ARM SGP site. Part I: Low-level Cloud Macrophysical, microphysical and radiative properties. J. Climate. 18, 1391-1410. Dong, X., B. Xi, and P.

  9. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Evaluation of a New Mixed-Phase Cloud Microphysics Parameterization with SCAM, CAPT Forecasts and M-PACE Observations Download a printable PDF Submitter: Liu, X., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Liu, X, S Xie, and SJ Ghan. 2007. "Evaluation of a new mixed-Phase cloud microphysics parameterization with the NCAR single column climate model (SCAM) and ARM M-PACE

  10. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Berg, LK, and EI Kassianov. 2008. "Temporal variability of fair-weather cumulus statistics at the ARM SGP site." Journal of Climate 21, 3344-3358. Figure 1. Five-year mean ARSCL VAP

  11. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Significant Decadal Brightening over the Continental United States Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Dutton, E. G., NOAA/OAR/ESRL Augustine, J., National Oceanic and Atmospheric Administration Wiscombe, W. J., Brookhaven National Laboratory Wild, M., Institute for Atmospheric and Climate Science - ETH Zurich McFarlane, S. A., U.S. Department of Energy Flynn, C. J., Pacific Northwest National Laboratory Area of Research: Radiation Processes

  12. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Trends in Downwelling Longwave Radiation over SGP Download a printable PDF Submitter: Gero, J., University of Wisconsin Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Gero P and DD Turner. 2011. "Long-term trends in downwelling spectral infrared radiance over the U.S. Southern Great Plains." Journal of Climate, 24(18),

  13. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Clouds Get in the Way: How Climate Models Calculate the Effects of Clouds on Earth's Warming Download a printable PDF Submitter: Qian, Y., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qian Y, CN Long, H Wang, JM Comstock, SA McFarlane, and S Xie. 2012. "Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations."

  14. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Tropical Ice Cloud Simulations Using Scripps Single Column Model (SCM) Reveal Range of Model Uncertainties Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: McFarquhar, G.M., S. Iacobellis, R.C.J. Somerville. SCM Simualtions of Tropical Ice Clouds Using Observationally Based Parameterizations of Microphysics, Journal of Climate: Vol 15, No. 11, pp.

  15. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Linking Ice Nucleation to Aerosols and Its Impact on CAM5 Simulated Arctic Clouds and Radiation Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Xie S, X Liu, C Zhao, and Y Zhang. 2013. "Sensitivity of CAM5 simulated arctic clouds and radiation to ice nucleation parameterization." Journal of Climate, 26(16),

  16. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wildfires Lead to More Warming Than Climate Models Predict, a New Mexico Fire Study Reports Download a printable PDF Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: China S, C Mazzoleni, K Gorkowski, AC Aiken, and MK Dubey. 2013. "Morphology and mixing state of individual freshly emitted wildfire carbonaceous particles." Nature Communications, 4, 2122, doi:10.1038/ncomms3122.

  17. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate Download a printable PDF Submitter: Laskin, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Aerosol Life Cycle Journal Reference: Hiranuma N, SD Brooks, RC Moffet, A Glen, A Laskin, MK Gilles, P Liu, AM Macdonald, JW Strapp, and GM McFarquhar. 2013. "Chemical characterization of individual particles and

  18. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Validation of Climate Model Ice Cloud Properties Download a printable PDF Submitter: Eidhammer, T., NCAR Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Eidhammer T, H Morrison, A Bansemer, A Gettelman, and AJ Heymsfield. 2014. "Comparison of ice cloud properties simulated by the Community Atmosphere Model (CAM5) with in situ observations." Atmospheric Chemistry and Physics, 14(18), doi:10.5194/acp-14-10103-2014. Mass weighted terminal fall

  19. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Regime Analysis to Identify the Contribution of Clouds to Surface Temperature Errors in GCMs Submitter: Van Weverberg, K., Met Office Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Van Weverberg K, CJ Morcrette, H Ma, SA Klein, and JC Petch. 2015. "Using regime analysis to identify the contribution of clouds to surface temperature errors in weather and climate models." Quarterly Journal Royal

  20. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Out with the Old, in with the New: McICA to Replace Traditional Cloud Overlap Assumptions Submitter: Pincus, R., NOAA - CIRES Climate Diagnostics Center Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Modeling Journal Reference: Pincus, R., R. Hemler, and S.A. Klein, 2006: Using Stochastically Generated Subcolumns to Represent Cloud Structure in a Large-Scale Model. Mon. Wea. Rev., 134, 3644-3656. As shown by the difference between the two panels, the

  1. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A "Little" Respect: Droplet Nucleation Finally Included in Global Climate Model Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Reflection of sunlight by clouds simulated with predicted droplet number with (dark blue) and without (green) the autoconversion feedback agrees remarkably well with the reflection

  2. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Broadband Albedo Observations in the Southern Great Plains Submitter: Lamb, P. J., University of Oklahoma Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Journal of Applied Meteorology and Climatology, Vol. 45, 2006, pp. 210-235. Figure 1 Figure 2 Because surface reflection of solar radiation plays a fundamental role in the surface energy budget, knowledge of its spatial and temporal variability is important for understanding the weather and climate of a

  3. EPA Climate Leadership Conference

    Broader source: Energy.gov [DOE]

    The U.S. Environmental Protection Agency (EPA), in collaboration with the Association of Climate Change Officers (ACCO), Center for Climate and Energy Solutions (C2ES), and the Climate Registry, is hosting the Climate Leadership Conference in Washington, D.C., on Feb. 23-25, 2015.

  4. Climate Leadership Conference

    Broader source: Energy.gov [DOE]

    Hosted and organized by the Association of Climate Change Officers (ACCO), Center for Climate and Energy Solutions (C2ES), and the Climate Registry, the three-day conference will showcase how new business opportunities, current policies, technologies, climate solutions and energy transformation will drive our low-carbon future.

  5. Continuous Evaluation of Fast Processes in Climate Models Using ARM

    Office of Scientific and Technical Information (OSTI)

    Measurements (Technical Report) | SciTech Connect Technical Report: Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements Citation Details In-Document Search Title: Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements This five-year award supports the project "Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements (FASTER)". The goal of this project is to produce accurate, consistent and comprehensive

  6. Building America Case Study: Cold Climate Foundation Wall Hygrothermal...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Cold Climate Foundation Wall Hygrothermal Research Facility Cloquet, Minnesota PROJECT ... DOEGO-102014-4441 * September 2014 BUILDING AMERICA CASE STUDY: TECHNOLOGY SOLUTIONS FOR ...

  7. Characterizing Uncertainty for Regional Climate Change Mitigation and Adaptation Decisions

    SciTech Connect (OSTI)

    Unwin, Stephen D.; Moss, Richard H.; Rice, Jennie S.; Scott, Michael J.

    2011-09-30

    This white paper describes the results of new research to develop an uncertainty characterization process to help address the challenges of regional climate change mitigation and adaptation decisions.

  8. Information Toolkit for post-2012 climate policies | Open Energy...

    Open Energy Info (EERE)

    Organization: Energy Research Centre of the Netherlands Partner: Brinkman Climate Change Sector: Energy Topics: Co-benefits assessment, Policiesdeployment programs, Pathways...

  9. Atmospheric Research at BNL

    ScienceCinema (OSTI)

    Peter Daum

    2010-01-08

    Brookhaven researcher Peter Daum discusses an international field experiment designed to make observations of critical components of the climate system of the southeastern Pacific. Because elements of this system are poorly understood and poorly represent

  10. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds Simulated in Climate Models Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Xie, S, J Boyle, SA Klein, X Liu, and S Ghan. 2008. "Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE." Journal of Geophysical Research 113,

  11. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Improving the Treatment of Radiation in Climate Models Download a printable PDF Submitter: Delamere, J. S., Tech-X Corporation Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Delamere JS, SA Clough, VH Payne, EJ Mlawer, DD Turner, and RR Gamache. 2010. "A far-infrared radiative closure study in the Arctic: Application to water vapor." Journal of Geophysical Research - Atmospheres, 115, D17106, 10.1029/2009JD012968. The

  12. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    energy budget of the atmospheric column. Researchers used measurements of atmospheric temperature and humidity profiles and ground-based retrievals of aerosol optical...

  13. Berkeley Lab Climate Software Honored for Pattern Recognition Advances

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Software Honored for Pattern Recognition Advances Berkeley Lab Climate Software Honored for Pattern Recognition Advances September 17, 2015 Contact: Kathy Kincade, +1 510 495 2124, kkincade@lbl.gov The Toolkit for Extreme Climate Analysis (TECA), developed at Lawrence Berkeley National Laboratory to help climate researchers detect extreme weather events in large datasets, has been recognized for its achievements in solving large-scale pattern recognition problems. "TECA: Petascale

  14. Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint

    SciTech Connect (OSTI)

    Scholbrock, A.; Fleming, P.; Wright, A.; Slinger, C.; Medley, J.; Harris, M.

    2014-12-01

    This paper describes field tests of a light detection and ranging (lidar) device placed forward looking on the nacelle of a wind turbine and used as a wind direction measurement to directly control the yaw position of a wind turbine. Conventionally, a wind turbine controls its yaw direction using a nacelle-mounted wind vane. If there is a bias in the measurement from the nacelle-mounted wind vane, a reduction in power production will be observed. This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a measurement of the wind could be made upstream of the wind turbine where the wind is not being influenced by the rotor's wake or induction zone. Field tests were conducted with the lidar measured yaw system and the nacelle wind vane measured yaw system. Results show that a lidar can be used to effectively measure the yaw error of the wind turbine, and for this experiment, they also showed an improvement in power capture because of reduced yaw misalignment when compared to the nacelle wind vane measured yaw system.

  15. ORISE Climate and Atmospheric Research: Contact Us

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Contact Us Dr. Bruce Baker Director, NOAA/ARL/ATDD Work: 865.576.1233 Bruce.Baker@noaa.gov Location: 456 South Illinois Ave. P.O. Box 2456 Oak Ridge, TN 37831-2456

  16. NREL: Climate Neutral Research Campuses - Webmaster

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Webmaster Please enter your name and email address in the boxes provided, then type your message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message

  17. ORISE: Capabilities in Climate and Atmospheric Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    office in 1948 under Atomic Energy Commission sponsorship in Oak Ridge, Tenn. Major contributions to many of the classic models of air pollution dispersion were made there. ...

  18. Formulating Climate Change Scenarios to Inform Climate - Resilient...

    Open Energy Info (EERE)

    Formulating Climate Change Scenarios to Inform Climate - Resilient Development Strategies Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Formulating Climate Change...

  19. Benefits of Advanced Control Room Technologies: Phase One Upgrades to the HSSL, Research Plan, and Performance Measures

    SciTech Connect (OSTI)

    Le Blanc, Katya; Joe, Jeffrey; Rice, Brandon; Ulrich, Thomas; Boring, Ronald

    2015-05-01

    Control Room modernization is an important part of life extension for the existing light water reactor fleet. None of the 99 currently operating commercial nuclear power plants in the U.S. has completed a full-scale control room modernization to date. A full-scale modernization might, for example, entail replacement of all analog panels with digital workstations. Such modernizations have been undertaken successfully in upgrades in Europe and Asia, but the U.S. has yet to undertake a control room upgrade of this magnitude. Instead, nuclear power plant main control rooms for the existing commercial reactor fleet remain significantly analog, with only limited digital modernizations. Previous research under the U.S. Department of Energy’s Light Water Reactor Sustainability Program has helped establish a systematic process for control room upgrades that support the transition to a hybrid control room. While the guidance developed to date helps streamline the process of modernization and reduce costs and uncertainty associated with introducing digital control technologies into an existing control room, these upgrades do not achieve the full potential of newer technologies that might otherwise enhance plant and operator performance. The aim of the control room benefits research is to identify previously overlooked benefits of modernization, identify candidate technologies that may facilitate such benefits, and demonstrate these technologies through human factors research. This report describes the initial upgrades to the HSSL and outlines the methodology for a pilot test of the HSSL configuration.

  20. Climatic Solar | Open Energy Information

    Open Energy Info (EERE)

    Climatic Solar Jump to: navigation, search Logo: Climatic Solar Name: Climatic Solar Address: 650 2nd Lane Place: Vero Beach, Florida Zip: 32962 Sector: Solar Product: solar energy...

  1. Eos Climate | Open Energy Information

    Open Energy Info (EERE)

    Eos Climate Place: South San Francisco, California Zip: 94080 Product: California-based firm focused on developing climate change mitigation strategies. References: Eos Climate1...

  2. Solar Resource Measurements in El Paso, Texas (Equipment CRADA Only): Cooperative Research and Development Final Report, CRADA Number CRD-08-273

    SciTech Connect (OSTI)

    Andreas, A.

    2013-11-01

    Site-specific, long-term, continuous, and high-resolution measurements of solar irradiance are important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: establish a national 30-year climatological database of measured solar irradiances; provide high quality ground-truth data for satellite remote sensing validation; support development of radiative transfer models for estimating solar irradiance from available meteorological observations; provide solar resource information needed for technology deployment and operations.

  3. Radiological Survey of Contaminated Installations of Research Reactor before Dismantling in High Dose Conditions with Complex for Remote Measurements of Radioactivity - 12069

    SciTech Connect (OSTI)

    Danilovich, Alexey; Ivanov, Oleg; Lemus, Alexey; Smirnov, Sergey; Stepanov, Vyacheslav; Volkovich, Anatoly

    2012-07-01

    Decontamination and decommissioning of the research reactors MR (Testing Reactor) and RFT (Reactor of Physics and Technology) has recently been initiated in the National Research Center (NRC) 'Kurchatov institute', Moscow. These research reactors have a long history and many installations - nine loop facilities for experiments with different kinds of fuel. When decommissioning nuclear facilities it is necessary to measure the distribution of radioactive contamination in the rooms and at the equipment at high levels of background radiation. At 'Kurchatov Institute' some special remote control measuring systems were developed and they are applied during dismantling of the reactors MR and RFT. For a survey of high-level objects a radiometric system mounted on the robotic Brokk vehicle is used. This system has two (4? and collimated) dose meters and a high resolution video camera. Maximum measured dose rate for this system is ?8.5 Sv/h. To determine the composition of contaminants, a portable spectrometric system is used. It is a remotely controlled, collimated detector for scanning the distribution of radioactive contamination. To obtain a detailed distribution of contamination a remote-controlled gamma camera is applied. For work at highly contaminated premises with non-uniform background radiation, another camera is equipped with rotating coded mask (coded aperture imaging). As a result, a new system of instruments for remote radioactivity measurements with wide range of sensitivity and angular resolution was developed. The experience and results of measurements in different areas of the reactor and at its loop installations, with emphasis on the radioactive survey of highly-contaminated samples, are presented. These activities are conducted under the Federal Program for Nuclear and Radiation Safety of Russia. Adaptation of complex remote measurements of radioactivity and survey of contaminated installations of research reactor before dismantling in high dose conditions has proven successful. The radioactivity measuring devices for operation at high, non-uniform dose background were tested in the field and a new data of measurement of contamination distribution in the premises and installations were obtained. (authors)

  4. Using Weather Data and Climate Model Output in Economic Analyses of Climate Change

    SciTech Connect (OSTI)

    Auffhammer, Maximilian; Hsiang, Solomon M.; Schlenker, Wolfram; Sobel, Adam H.

    2013-06-28

    Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces a set of weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of datasets available, and then discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.

  5. Climate Mag_27JUN2013_ms07022013.indd

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CLIMATE AND IMPACT RESEARCH at Los Alamos National Laboratory Climate Research and National Security Los Alamos National Laboratory is truly a national security science laboratory, tackling some of the world's most challenging science and engineering issues. We are interested in the potential future impacts of climate change on global security, such as the coastal e ects of sea level rise, increased number of extreme storms, and the consequences of extensive regional tree mortality. Gaining a

  6. Climate Leadership Conference

    Broader source: Energy.gov [DOE]

    The Climate Leadership Conference is your annual exchange for addressing global climate change through policy, innovation, and business solutions. Forward-thinking lead­ers from busi­ness, gov­ern...

  7. Indigenous Climate Justice Symposium

    Broader source: Energy.gov [DOE]

    The Indigenous Climate Justice Symposium brings together Native speakers who are working to keep fossil fuels in the ground, by stopping coals terminals, oil trains and fracking, and protecting treaty resources from the threat of climate change.

  8. Emergent Constraints for Cloud Feedbacks and Climate Sensitivity

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Klein, Stephen A.; Hall, Alex

    2015-10-26

    Emergent constraints are physically explainable empirical relationships between characteristics of the current climate and long-term climate prediction that emerge in collections of climate model simulations. With the prospect of constraining long-term climate prediction, scientists have recently uncovered several emergent constraints related to long-term cloud feedbacks. We review these proposed emergent constraints, many of which involve the behavior of low-level clouds, and discuss criteria to assess their credibility. With further research, some of the cases we review may eventually become confirmed emergent constraints, provided they are accompanied by credible physical explanations. Because confirmed emergent constraints identify a source of model errormore » that projects onto climate predictions, they deserve extra attention from those developing climate models and climate observations. While a systematic bias cannot be ruled out, it is noteworthy that the promising emergent constraints suggest larger cloud feedback and hence climate sensitivity.« less

  9. Emergent Constraints for Cloud Feedbacks and Climate Sensitivity

    SciTech Connect (OSTI)

    Klein, Stephen A.; Hall, Alex

    2015-10-26

    Emergent constraints are physically explainable empirical relationships between characteristics of the current climate and long-term climate prediction that emerge in collections of climate model simulations. With the prospect of constraining long-term climate prediction, scientists have recently uncovered several emergent constraints related to long-term cloud feedbacks. We review these proposed emergent constraints, many of which involve the behavior of low-level clouds, and discuss criteria to assess their credibility. With further research, some of the cases we review may eventually become confirmed emergent constraints, provided they are accompanied by credible physical explanations. Because confirmed emergent constraints identify a source of model error that projects onto climate predictions, they deserve extra attention from those developing climate models and climate observations. While a systematic bias cannot be ruled out, it is noteworthy that the promising emergent constraints suggest larger cloud feedback and hence climate sensitivity.

  10. ARM - Climate Change

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SitesClimate Change Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Climate Change A Student's Guide to Global Climate Change The U.S. Environmental Protection Agency (EPA) developed A Student's Guide to Global Climate Change to help provide students and educators with clear, accurate

  11. Measuring Up: How to Track and Evaluate Local Sustainability Projects

    Broader source: Energy.gov [DOE]

    Join this EPA Local Climate and Energy webinar to learn how to measure and evaluate the results of local climate, energy, and sustainability projects.

  12. FY08 LDRD Final Report Regional Climate

    SciTech Connect (OSTI)

    Bader, D C; Chin, H; Caldwell, P M

    2009-05-19

    An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete parameterizations or coarser spatial resolution. Further, LLNL has now built a capability in state-of-the-science mesoscale climate modeling that complements that which it has in global climate simulation, providing potential sponsors with an end-to-end simulation and analysis program.

  13. Environmental assessment for the Atmospheric Radiation Measurement (ARM) Program: Southern Great Plains Cloud and Radiation Testbed (CART) site

    SciTech Connect (OSTI)

    Policastro, A.J.; Pfingston, J.M.; Maloney, D.M.; Wasmer, F.; Pentecost, E.D.

    1992-03-01

    The Atmospheric Radiation Measurement (ARM) Program is aimed at supplying improved predictive capability of climate change, particularly the prediction of cloud-climate feedback. The objective will be achieved by measuring the atmospheric radiation and physical and meteorological quantities that control solar radiation in the earth`s atmosphere and using this information to test global climate and related models. The proposed action is to construct and operate a Cloud and Radiation Testbed (CART) research site in the southern Great Plains as part of the Department of Energy`s Atmospheric Radiation Measurement Program whose objective is to develop an improved predictive capability of global climate change. The purpose of this CART research site in southern Kansas and northern Oklahoma would be to collect meteorological and other scientific information to better characterize the processes controlling radiation transfer on a global scale. Impacts which could result from this facility are described.

  14. Determining Cloud Ice Water Path from High-Frequency Microwave Measurements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Determining Cloud Ice Water Path from High-Frequency Microwave Measurements G. Liu Department of Meteorology Florida State University Tallahassee, Florida Introduction A better understanding of cloud water content and its large-scale distribution is important to climate research for improving our ability to parameterize and validate cloud/precipitation processes in global climate models. The goal of this study is to determine the distribution and large-scale advection of cloud ice/liquid water

  15. Solar Resource Measurements in Canyon, Texas - Equipment Only Loan: Cooperative Research and Development Final Report, CRADA Number CRD-07-233

    SciTech Connect (OSTI)

    Andreas, A.

    2014-07-01

    Site-specific, long-term, continuous, and high-resolution measurements of solar irradiance are important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: establish a national 30-year climatological database of measured solar irradiances; provide high-quality ground-truth data for satellite remote sensing validation; support development of radiative transfer models for estimating solar irradiance from available meteorological observations; and provide solar resource information needed for technology deployment and operations. Data acquired under this agreement will be available to the public through NREL's Measurement & Instrumentation Data Center (MIDC) or the Renewable Resource Data Center (RReDC). The MIDC offers a variety of standard data display, access, and analysis tools designed to address the needs of a wide user audience (e.g., industry, academia, and government interests).

  16. Solar Resources Measurements in Elizabeth City, North Carolina - Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-07-217

    SciTech Connect (OSTI)

    Stoffel, T.; Andreas, A.

    2014-01-01

    Site-specific, long-term, continuous, and high-resolution measurements of solar irradiance are important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: establish a national 30-year climatological database of measured solar irradiances; provide high quality ground-truth data for satellite remote sensing validation; support development of radiative transfer models for estimating solar irradiance from available meteorological observations; provide solar resource information needed for technology deployment and operations. Data acquired under this agreement will be available to the public through NREL's Measurement & Instrumentation Data Center - MIDC (www.nrel.gov/midc). The MIDC offers a variety of standard data display, access, and analysis tools designed to address the needs of a wide user audience (e.g., industry, academia, and government interests).

  17. Solar Resource Measurements in Humboldt State University, Arcata, California: Cooperative Research and Development Final Report, CRADA Number CRD-08-262

    SciTech Connect (OSTI)

    Stoffel, T.; Andreas, A.

    2014-01-01

    Site-specific, long-term, continuous, and high-resolution measurements of solar irradiance are important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: establish a national 30-year climatological database of measured solar irradiances; provide high quality ground-truth data for satellite remote sensing validation; support development of radiative transfer models for estimating solar irradiance from available meteorological observations; provide solar resource information needed for technology deployment and operations. Data acquired under this agreement will be available to the public through NREL's Measurement & Instrumentation Data Center - MIDC (www.nrel.gov/midc) or the Renewable Resource Data Center - RReDC (http://rredc.nrel.gov). The MIDC offers a variety of standard data display, access, and analysis tools designed to address the needs of a wide user audience (e.g., industry, academia, and government interests).

  18. Special Feature: Supercomputers Map Our Changing Climate

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Supercomputers Map Our Changing Climate Special Feature: Supercomputers Map Our Changing Climate September 23, 2013 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 cam5-hurricane-2145950x400.jpg In this simulation, Berkeley researchers used the finite volume version of NCAR's Community Atmosphere Model to see how well the model can reproduced observed tropical cyclone statistics. The simulated storms seen in this animation are generated spontaneously from the model's simulated weather

  19. Semantic search integration to climate data

    SciTech Connect (OSTI)

    Devarakonda, Ranjeet; Palanisamy, Giri; Pouchard, Line Catherine; Shrestha, Biva

    2014-01-01

    In this paper we present how research projects at Oak Ridge National Laboratory are using Semantic Search capabilities to help scientists perform their research. We will discuss how the Mercury metadata search system, with the help of the semantic search capability, is being used to find, retrieve, and link climate change data. DOI: 10.1109/CTS.2014.6867639

  20. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cloud Regimes in the TWP and Their Evolution over the MJO Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Chen, Y, and AD Del Genio. 2008. "Evaluation of tropical cloud regimes in observations and a general circulation model." Climate Dynamics doi:10.1007/s00382-008-0386-6. Mean highest cloud-top vertical profiles from ARSCL

  1. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Memo from Real World to Cumulus Parameterizations: Get Organized! Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Del Genio AD, J Wu, and Y Chen. 2012. "Characteristics of mesoscale organization in WRF simulations of convection during TWP-ICE." Journal of Climate, 25(17), 5666, doi:10.1175/JCLI-D-11-00422.1. Properties of cold pool air (solid

  2. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Complexity of Arctic Clouds Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, G de Boer, G Feingold, J Harrington, M Shupe, and K Sulia. 2011. "Resilience of persistent Arctic mixed-phase clouds." Nature Geoscience, 5, doi:10.1038/ngeo1332. Arctic climate feedbacks: The processes that allow mixed-phased clouds to persist in the Arctic are surprisingly complex and

  3. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ARM Data Used to Evaluate Reanalysis Results Download a printable PDF Submitter: Dong, X., University of North Dakota Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Dolinar E, X Dong, and B Xi. 2015. "Evaluation and intercomparison of clouds, precipitation, and radiation budgets in recent reanalyses using satellite-surface observations." Climate Dynamics, , DOI 10.1007/s00382-0, 10.1007/s00382-0. Figure 1. Monthly means of CF (a), SWDNsfc

  4. Research Highlight

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Simulating the MJO: Everybody Into the (Cold) Pool! Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Del Genio AD, J Wu, AB Wolf, Y Chen, M Yao, and D Kim. 2015. "Constraints on cumulus parameterization from simulations of observed MJO events." Journal of Climate, 28(16), doi:10.1175/JCLI-D-14-00832.1.

  5. Comparison of Diffuse Shortwave Irradiance Measurements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Diffuse Shortwave Irradiance Measurements J. J. Michalsky and J. Schlemmer Atmospheric Sciences Research Center State University of New York Albany, New York B. C. Bush, S. Leitner, D. Marsden, and F. P. J. Valero Scripps Institution of Oceanography University of California, San Diego La Jolla, California R. Dolce and A. Los Kipp & Zonen, Inc. Bohemia, New York and Delft The Netherlands E. G. Dutton Climate Monitoring and Diagnostics Laboratory National Oceanic and Atmospheric Administration

  6. Simulations of Clouds and Sensitivity Study by Weather Research and Forecast Model for Atmospheric Radiation Measurement Case 4

    SciTech Connect (OSTI)

    Wu, J.; Zhang, M.

    2005-03-18

    One of the large errors in general circulation models (GCMs) cloud simulations is from the mid-latitude, synoptic-scale frontal cloud systems. Now, with the availability of the cloud observations from Atmospheric Radiation Measurement (ARM) 2000 cloud Intensive Operational Period (IOP) and other observational datasets, the community is able to document the model biases in comparison with the observations and make progress in development of better cloud schemes in models. Xie et al. (2004) documented the errors in midlatitude frontal cloud simulations for ARM Case 4 by single-column models (SCMs) and cloud resolving models (CRMs). According to them, the errors in the model simulated cloud field might be caused by following reasons: (1) lacking of sub-grid scale variability; (2) lacking of organized mesoscale cyclonic advection of hydrometeors behind a moving cyclone which may play important role to generate the clouds there. Mesoscale model, however, can be used to better under stand these controls on the subgrid variability of clouds. Few studies have focused on applying mesoscale models to the forecasting of cloud properties. Weaver et al. (2004) used a mesoscale model RAMS to study the frontal clouds for ARM Case 4 and documented the dynamical controls on the sub-GCM-grid-scale cloud variability.

  7. Pacific Northwest Laboratory annual report for 1991 to the DOE Office of Energy Research

    SciTech Connect (OSTI)

    Not Available

    1992-05-01

    Within the US Department of Energy's (DOE's) Office of Health and Environmental Research (OHER), the atmospheric sciences and carbon dioxide research programs are part of the Environmental Sciences Division (ESD). One of the central missions of the division Is to provide the DOE with scientifically defensible information on the local, regional, and global distributions of energy-related pollutants and their effects on climate. This information is vital to the definition and Implementation of a sound national energy strategy. This volume reports on the progress and status of all OHER atmospheric science and climate research projects at the Pacific Northwest Laboratory (PNL). Research at PNL provides basic scientific underpinnings to DOE's program of global climate research. Research projects within the core carbon dioxide and ocean research programs are now integrated with those in the Atmospheric Radiation Measurements (ARM), the Computer Hardware, Advanced Mathematics and Model Physics (CHAMMP), and quantitative links programs to form DOEs contribution to the US Global Change Research Program. Climate research in the ESD has the common goal of improving our understanding of the physical, chemical, biological, and social processes that influence the Earth system so that national and international policymaking relating to natural and human-induced changes in the Earth system can be given a firm scientific basis. This report describes the progress In FY 1991 in each of these areas.

  8. A Regional Climate Change Assessment Program for North America

    SciTech Connect (OSTI)

    Mearns, L. O.; Gutowski, William; Jones, Richard; Leung, Lai-Yung R.; McGinnis, Seth; Nunes, A.; Qian, Yun

    2009-09-08

    There are two main uncertainties in determining future climate: the trajectories of future emissions of greenhouse gases and aerosols, and the response of the global climate system to any given set of future emissions [Meehl et al., 2007]. These uncertainties normally are elucidated via application of global climate models, which provide information at relatively coarse spatial resolutions. Greater interest in, and concern about, the details of climate change at regional scales has provided the motivation for the application of regional climate models, which introduces additional uncertainty [Christensen et al., 2007a]. These uncertainties in fi ne- scale regional climate responses, in contrast to uncertainties of coarser spatial resolution global models in which regional models are nested, now have been documented in numerous contexts [Christensen et al., 2007a] and have been found to extend to uncertainties in climate impacts [Wood et al., 2004; Oleson et al., 2007]. While European research in future climate projections has moved forward systematically to examine combined uncertainties from global and regional models [Christensen et al., 2007b], North American climate programs have lagged behind. To fi ll this research gap, scientists developed the North American Regional Climate Change Assessment Program (-NARCCAP). The fundamental scientifi c motivation of this international program is to explore separate and combined uncertainties in regional projections of future climate change resulting from the use of multiple atmosphere- ocean general circulation models (AOGCMs) to drive multiple regional climate models (RCMs). An equally important, and related, motivation for this program is to provide the climate impacts and adaptation community with high- resolution regional climate change scenarios that can be used for studies of the societal impacts of climate change and possible adaptation strategies.

  9. The climate change and energy security nexus

    SciTech Connect (OSTI)

    King, Marcus Dubois; Gulledge, Jay

    2013-01-01

    The study of the impacts of climate change on national and interna-tional security has grown as a research field, particularly in the last five years. Within this broad field, academic scholarship has concentrated primarily on whether climate change is, or may become, a driver of violent conflict. This relationship remains highly contested. However, national security policy and many non-governmental organizations have identified climate change as a threat multiplier in conflict situations. The U.S. Department of Defense and the United Kingdom's Ministry of Defense have incorporated these findings into strategic planning documents such as the Quadrennial Defense Review and the Strategic Defence and Security Review. In contrast to the climate-conflict nexus, our analysis found that academic scholarship on the climate change and energy security nexus is small and more disciplinarily focused. In fact, a search of social science litera-ture found few sources, with a significant percentage of these works attribut-able to a single journal. Assuming that policymakers are more likely to rely on broader social science literature than technical or scientific journals, this leaves a limited foundation. This then begged the question: what are these sources? We identified a body of grey literature on the nexus of climate change and energy security of a greater size than the body of peer-reviewed social science literature. We reviewed fifty-eight recent reports, issue briefs, and transcripts to better understand the nexus of climate change and energy security, as well as to gain insight about the questions policymakers need answered by those undertaking the research. In this article, we describe the nature of the sources reviewed, highlight possible climate change and energy security linkages found within those sources, identify emerging risks, and offer conclusions that can guide further research.

  10. Regional-Scale Climate Change: Observations and Model Simulations

    SciTech Connect (OSTI)

    Raymond S. Bradley; Henry F. Diaz

    2010-12-14

    This collaborative proposal addressed key issues in understanding the Earthâ??s climate system, as highlighted by the U.S. Climate Science Program. The research focused on documenting past climatic changes and on assessing future climatic changes based on suites of global and regional climate models. Geographically, our emphasis was on the mountainous regions of the world, with a particular focus on the Neotropics of Central America and the Hawaiian Islands. Mountain regions are zones where large variations in ecosystems occur due to the strong climate zonation forced by the topography. These areas are particularly susceptible to changes in critical ecological thresholds, and we conducted studies of changes in phonological indicators based on various climatic thresholds.

  11. The Fate of Trees: How Climate Change May Alter Forests Worldwide

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Rolling Stone" covers climate change research at Los Alamos Lab March 26, 2015 The Fate of Trees: How Climate Change May Alter Forests Worldwide By the end of the century, the...

  12. Global Climate & Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Team Attends World Water Week in Stockholm Climate, Energy, Global Climate & Energy, Modeling, Modeling & Analysis, News, News & Events, Water Security Sandia Team Attends World Water Week in Stockholm Stephanie Kuzio, Vince Tidwell, and Tom Lowry (all from Sandia's Earth Systems Analysis Dept.), represented Sandia's Water and Environment Program (part of the Sandia's Climate & Environment Program Area) at World Water Week in Stockholm August 31-September 5th. The theme for this

  13. ARM - Different Climates

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ListDifferent Climates Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Different Climates The earth's climate varies from place to place. Locations near the Equator tend to be constantly hot and wet, such as the Pacific islands and the Amazon Basins. Some places near the North and South

  14. Climate Change Response

    Office of Environmental Management (EM)

    Interior Climate Change Response "From the Everglades to the Great Lakes to Alaska and everywhere in between, climate change is a leading threat to natural and cultural resources across America, and tribal communities are often the hardest hit by severe weather events such as droughts, floods and wildfires" - Secretary of the Interior Sally Jewell "Impacts of climate change are increasingly evident for American Indian and Alaska Native communities and, in some cases, threaten the

  15. Climate Change Webinar Series

    Broader source: Energy.gov [DOE]

    Experts will provide findings from the Quadrennial Energy Review (QER) and outline federal energy policy objectives, proposals, and actions as they relate to climate change and resilience for...

  16. Climate & Earth Science

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Human-Induced Climate Change Reduces Chance of Flooding in Okavango Delta Energy Science Engineering Science Environmental Science Fusion Science Math & Computer Science Nuclear...

  17. Climate Data Operators (CDO)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Data Operators (CDO) Climate Data Operators (CDO) Description and Overview CDO is a large tool set for working on climate data. NetCDF 3/4, GRIB including SZIP compression, EXTRA, SERVICE and IEG are supported as IO-formats. Apart from that cdo can be used to analyse any kind gridded data not related to climate science. CDO has very small memory requirements and can process files larger than the physical memory. How to Use CDO module load cdo cdo [Options] Operators ... Further

  18. Climate Prisms Bios

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Experiment (NGEE-Arctic); and has amassed photos, videos, and data charting Arctic climate change. Mark Petersen Mark Petersen, Scientist Mark Petersen works at the...

  19. Supercomputers Fuel Global High-Resolution Climate Models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Supercomputers Fuel Global High-Resolution Climate Models Supercomputers Fuel Global High-Resolution Climate Models Berkeley Lab Researcher Says Climate Science is Entering New Golden Age November 12, 2014 Contact: Julie Chao, jchao@lbl.gov, 510.486.6491 wehnerclimate2 Simulated and observed annual maximum 5 day accumulated precipitation over land points, averaged. Observations are calculated from the period 1979 to 1999. Model results are calculated from the period 1979 to 2005. Not long ago,

  20. MIE Regional Climate Change Impact Webinar Series: Northwest | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy MIE Regional Climate Change Impact Webinar Series: Northwest MIE Regional Climate Change Impact Webinar Series: Northwest February 4, 2016 1:00PM to 2:30PM MST The U.S. Department of Energy's (DOE's) Minorities in Energy Initiative is hosting a webinar on Southwest impacts of climate change on minority and tribal communities featuring presentations by nationally recognized policymakers, researchers, and educators. Speakers will highlight growing opportunities for workforce

  1. MIE Regional Climate Change Impact Webinar Series: Southwest | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy MIE Regional Climate Change Impact Webinar Series: Southwest MIE Regional Climate Change Impact Webinar Series: Southwest January 7, 2016 1:00PM to 2:30PM MST The U.S. Department of Energy's (DOE's) Minorities in Energy Initiative is hosting a webinar on Southwest impacts of climate change on minority and tribal communities featuring presentations by nationally recognized policymakers, researchers, and educators. Speakers will highlight growing opportunities for workforce

  2. Climate Change Adaptation | Department of Energy

    Energy Savers [EERE]

    Climate Change Adaptation Climate Change Adaptation DOE is adapting to climate change by applying a risk-based resiliency approach to identify and minimize climate-related...

  3. NREL Climate Activities | Open Energy Information

    Open Energy Info (EERE)

    NREL Climate Activities (Redirected from Climate Activities at NREL) Jump to: navigation, search Logo: Climate Activities at NREL Name Climate Activities at NREL AgencyCompany...

  4. European Climate Foundation (ECF) | Open Energy Information

    Open Energy Info (EERE)

    European Climate Foundation (ECF) (Redirected from European Climate Foundation) Jump to: navigation, search Logo: European Climate Foundation (ECF) Name: European Climate...

  5. Solar Resource Measurements in 1400 JR Lynch Street, Jackson, Mississippi: Cooperative Research and Development Final Report, CRADA Number CRD-07-254

    SciTech Connect (OSTI)

    Stoffel, T.

    2014-01-01

    Site-specific, long-term, continuous, and high-resolution measurements of solar irradiance are important for developing renewable resource data. These data are used for several research and development activities consistent with the NREL mission: Equipment will be used by Jackson State University for solar radiation data monitoring. This is a continuing effort of the Historically Black Colleges and Universities Solar Measurement Network; Provide high quality ground-truth data for satellite remote sensing validation; Support development of radiative transfer models for estimating solar irradiance from available meteorological observations; Provide solar resource information needed for technology deployment and operations. Data acquired under this agreement will be available to the public through NREL's Measurement & Instrumentation Data Center (MIDC) (www.nrel.gov/midc) or the Renewable Resource Data Center (RReDC ) (http://rredc.nrel.gov). The MIDC offers a variety of standard data display, access, and analysis tools designed to address the needs of a wide user audience (e.g., industry, academia, and government interests.

  6. Solar Resource Measurements in Cocoa, Florida (FSEC) - Equipment Loaned to NREL: Cooperative Research and Development Final Report, CRADA Number CRD-08-318

    SciTech Connect (OSTI)

    Stoffel, T.; Afshin, A.

    2014-01-01

    Site-specific measurements of global and diffuse solar irradiance components, passively separated by alternate shading and unshading of a pyranometer mounted under a shading band with alternating opaque and open panels (for a site other than NREL) are needed to verify the underlying theory and mathematical techniques for developing direct, global and diffuse renewable resource data from such a system. These data are used for several research and development activities consistent with the NREL mission: Establish a national 30-year climatological database of measured solar irradiances; Support development of radiative transfer models for estimating solar irradiance from available meteorological observations; Provide solar resource information needed for technology deployment and operations. NREL will provide the supporting equipment (Shadow Bank Stand) for the specially designed shading band. FSEC will provide the calibrated pyranometer and perform data acquisition of the radiometer signal. Data acquired under this agreement will be shared with the NREL Principle Investigator for the purposes of validating techniques for estimating direct radiation from global and diffuse components measured with the ZEBRA system.

  7. Testing the effectiveness of mobile home weatherization measures in a controlled environment: The SERI CMFERT (Collaborative Manufactured Buildings Facility for Energy Research and Training) Project

    SciTech Connect (OSTI)

    Judkoff, R.D.; Hancock, C.E.; Franconi, E.

    1990-03-01

    For several years the Solar Energy Research Institute has been testing the effectiveness of mobile home weatherization measures, with the support of the US DOE Office of State and Local Assistance Programs Weatherization Assistance Program, the DOE Office of Buildings and Community Systems, the seven states within the federal Weatherization Region 7, the Colorado Division of Housing, and the DOE Denver Support Office. During the winter of 1988--89, several weatherization measures were thermally tested on three mobile homes under controlled conditions inside a large environmental enclosure. The effects of each weatherization measure on conduction losses, infiltration losses, and combined furnace and duct-delivered heat efficiency were monitored. The retrofit options included air sealing, duct repair, furnace tune-up, interior storm panels, floor insulation, and roof insulation. The study demonstrated that cost-effective heating energy savings of about 20% to 50% are possible if weatherization techniques adapted to the special construction details in mobile homes are applied. 24 refs., 18 figs., 9 tabs.

  8. Special Lecture - Climate Prisms: Understanding Climate Change for All

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Special Lecture - Climate Prisms Special Lecture - Climate Prisms: Understanding Climate Change for All WHEN: Feb 17, 2015 5:30 PM - 7:00 PM WHERE: Bradbury Science Museum, 1350 Central Ave, Los Alamos, USA CONTACT: Jessica Privette 505 667-0375 CATEGORY: Bradbury INTERNAL: Calendar Login Climate Lecture Event Description Climate Prisms is the museum's latest addition to their environment exhibit. The lecture intends to reinvent the way the public processes climate change data. Through a deep,

  9. ClimateChangeLIVE Webcast: Join the Climate Conversation

    Broader source: Energy.gov [DOE]

    Join ClimateChangeLIVE's webcast, bringing together students and climate experts for a discussion about climate change and what students and classes around the country are doing to be part of the climate solution. Students will be able to interact with climate scientists and experts online through Facebook and Twitter. A GreenWorks! grant will be offered to help schools with climate action projects.

  10. Task Force on Climate Preparedness and Resilience Announces Tribal Climate

    Energy Savers [EERE]

    Resilience Program | Department of Energy Task Force on Climate Preparedness and Resilience Announces Tribal Climate Resilience Program Task Force on Climate Preparedness and Resilience Announces Tribal Climate Resilience Program July 16, 2014 - 3:38pm Addthis Access Recordings from the Climate Change Impacts and Indian Country Webinar Series On July 16, at the fourth and final meeting of the White House State, Local, and Tribal Leaders Task Force on Climate Preparedness and Resilience, the

  11. Indigenous Climate Justice Symposium

    Broader source: Energy.gov [DOE]

    The Indigenous Climate Justice Symposium brings together Native speakers who are working to keep fossil fuels in the ground, by stopping coals terminals, oil trains and fracking, and protecting treaty resources from the threat of climate change. All events are free and open to Evergreen students and the public.

  12. Atmospheric Radiation Measurement Program facilities newsletter, January 2000

    SciTech Connect (OSTI)

    Sisterson, D.L.

    2000-02-16

    The subject of this newsletter is the ARM unmanned aerospace vehicle program. The ARM Program's focus is on climate research, specifically research related to solar radiation and its interaction with clouds. The SGP CART site contains highly sophisticated surface instrumentation, but even these instruments cannot gather some crucial climate data from high in the atmosphere. The Department of Energy and the Department of Defense joined together to use a high-tech, high-altitude, long-endurance class of unmanned aircraft known as the unmanned aerospace vehicle (UAV). A UAV is a small, lightweight airplane that is controlled remotely from the ground. A pilot sits in a ground-based cockpit and flies the aircraft as if he were actually on board. The UAV can also fly completely on its own through the use of preprogrammed computer flight routines. The ARM UAV is fitted with payload instruments developed to make highly accurate measurements of atmospheric flux, radiance, and clouds. Using a UAV is beneficial to climate research in many ways. The UAV puts the instrumentation within the environment being studied and gives scientists direct measurements, in contrast to indirect measurements from satellites orbiting high above Earth. The data collected by UAVs can be used to verify and calibrate measurements and calculated values from satellites, therefore making satellite data more useful and valuable to researchers.

  13. NERSC Climate PIs Telecon!

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Climate Applications at NERSC Climate Projects --- 2 --- 75 Climate Projects at NERSC (AY2015) * Awards a re p ublished a t: - h%ps://www.nersc.gov/users/accounts/awarded---projects/2015--- alloca<on---awards/ * Or y ou c an s earch i n N IM * 29 p rojects u se C ESM o r C ESM c omponents. 2 47 u sers * 16 p rojects u se W RF. 3 6 u sers. --- 3 --- Climate Projects at NERSC (AY2015)-1 Repo Project T itle PI OrganizaMon Codes mp9 Climate C hange S imula<ons w ith C ESM: M oderate a nd H igh

  14. Research Techniques

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research Techniques Research Techniques Print Coming Soon

  15. Climate Stewardship Act of 2004 (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    The Climate Stewardship Act of 2004 would establish a system of tradable allowances to reduce greenhouse gas emissions. The bill includes requirements for mandatory emissions reporting by covered entities and for voluntary reporting of emissions reduction activities by noncovered entities; a national greenhouse gas database and registry of reductions; and a research program on climate change and related activities.

  16. Final Report for Research Conducted at The Scripps Institution of Oceanography, University of California San Diego from 2/2002 to 8/2003 for ''Aerosol and Cloud-Field Radiative Effects in the Tropical Western Pacific: Analyses and General Circulation Model Parameterizations''

    SciTech Connect (OSTI)

    Vogelmann, A. M.

    2004-01-27

    OAK-B135 Final report from the University of California San Diego for an ongoing research project that was moved to Brookhaven National Laboratory where proposed work will be completed. The research uses measurements made by the Atmospheric Radiation Measurement (ARM) Program to quantify the effects of aerosols and clouds on the Earth's energy balance in the climatically important Tropical Western Pacific.

  17. Desert scientists turn to rainforest for climate answers

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Desert scientists turn to rainforest for climate answers Desert scientists turn to rainforest for climate answers Work in Brazil's Amazon Basin should improve climate prediction. May 30, 2014 Curiosity zaps Mars for vital signs: ChemCam, designed by Lab team, looks for elements such as carbon, nitrogen, and oxygen, all of which are crucial for life. Heath-Powers: Los Alamos scientist Heath Powers, foreground, and on-site technician Vagner Castro work on field equipment for measuring carbon

  18. OPEN HOUSE - Climate Prisms: Arctic

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    An interactive exploration of Arctic climate science through prisms of the visual arts, literary arts, info-vis, scientific presentations and more. Climate Prisms: Arctic is...

  19. Climate Advisers | Open Energy Information

    Open Energy Info (EERE)

    and climate-related forest conservation. Climate Advisers is known for its vision, policy expertise, political acumen, and access to senior policymakers in the United States...

  20. Climate Change | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Science & Innovation Climate Change Climate Change March 17, 2016 How to Store Carbon Find out how National Labs scientists are developing new tools to ensure carbon storage is ...