National Library of Energy BETA

Sample records for measurement climate research

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

    Office of Scientific and Technical Information (OSTI)

    Title: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly ... Atmospheric Radiation Measurement (ARM) Climate Research Facility fixed and mobile sites ...

  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 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 ...

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

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Operations Quarterly Report January 1-March 31, 2012 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate Research ...

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

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Operations Quarterly Report July 1-September 30, 2011 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate ...

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

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Operations Quarterly Report April 1-June 30, 2011 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Program Climate ...

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

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Operations Quarterly Report October 1-December 31, 2011 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate ...

  9. Atmospheric Radiation Measurement Climate Research Facility | Argonne

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

    National Laboratory Atmospheric Radiation Measurement Climate Research Facility Argonne scientists study climate change 1 of 22 Argonne scientists study climate change The U.S. Department of Energy's Office of Science provided $60 million in ARRA funding for climate research to the Atmospheric Radiation Measurement (ARM) Climate Research Facility, a DOE national user facility that has been operating climate observing sites around the world for nearly two decades. These sites help scientists

  10. 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 ...

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

    Office of Scientific and Technical Information (OSTI)

    Title: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly ... are collected and sent to the Data Management Facility (DMF) at Pacific Northwest ...

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

    Office of Scientific and Technical Information (OSTI)

    Title: Atmospheric Radiation Measurement Program Climate Research Facility Operations ... are collected and sent to the Data Management Facility (DMF) at Pacific Northwest ...

  13. Atmospheric Radiation Measurement Climate Research Facility Operations

    Office of Scientific and Technical Information (OSTI)

    Quarterly Report October 1-December 31, 2012 (Program Document) | SciTech Connect SciTech Connect Search Results Program Document: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report October 1-December 31, 2012 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report October 1-December 31, 2012 Individual datastreams from instrumentation at the Atmospheric Radiation Measurement (ARM)

  14. Style Guide Atmospheric Radiation Measurement (ARM) Climate Research Facility

    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 supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research March 2013 ii Contents 1.0 Introduction .......................................................................................................................................... 1 2.0 Acronyms and Abbreviations

  15. Atmospheric Radiation Measurement Climate Research Facility Annual Report

    Office of Scientific and Technical Information (OSTI)

    2006 (Technical Report) | SciTech Connect Atmospheric Radiation Measurement Climate Research Facility Annual Report 2006 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate Research Facility Annual Report 2006 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

  16. Atmospheric Radiation Measurement Climate Research Facility (ACRF) Annual

    Office of Scientific and Technical Information (OSTI)

    Report 2007 (Technical Report) | SciTech Connect Atmospheric Radiation Measurement Climate Research Facility (ACRF) Annual Report 2007 Citation Details In-Document Search Title: Atmospheric Radiation Measurement Climate Research Facility (ACRF) Annual Report 2007 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

  17. 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.

  18. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

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

  19. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

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

  20. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

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

  1. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

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

  2. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

    2 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report July 1-September 30, 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

  3. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

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

  4. Atmospheric Radiation Measurement Program Climate Research Facility Operations

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

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report January 1-March 31, 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

  5. 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

  6. 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.

  7. 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

  8. Atmospheric Radiation Measurement Climate Research Facility - annual report 2004

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

    ER-ARM-0403 3 Table of Contents Program Overview ............................................................................................................................................................ 4 The Role of Clouds in Climate .................................................................................................................................... 4 ARM Science Goals

  9. AUDIT REPORT Atmospheric Radiation Measurement Climate Research Facility

    Office of Environmental Management (EM)

    Future | Department of Energy Charts that Will Make You Optimistic About America's Clean Energy Future 6 Charts that Will Make You Optimistic About America's Clean Energy Future November 13, 2015 - 1:05pm Addthis Daniel Wood Daniel Wood Data Visualization and Cartographic Specialist, Office of Public Affairs Clean Energy & Climate A new MIT report explores how rapid growth of solar and wind energy could help nations around the world meet -- and beat -- their targets for reducing

  10. 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.

  11. Climate Measurement & Modeling

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Climate & Earth Systems Climate Measurement & Modeling Arctic Climate Measurements Global ...

  12. 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.

  13. 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.

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

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

    20 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report July 1-September 30, 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

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

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

    5 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report April 1-June 30, 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

  16. DOE/SC-ARM-12-021 Atmospheric Radiation Measurement 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 July 1-September 30, 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

  17. DOE/SC-ARM-13-001 Atmospheric Radiation Measurement 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 October 1-December 31, 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

  18. DOE/SC-ARM-13-007 Atmospheric Radiation Measurement 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 January 1-March 31, 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

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

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

    3 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report April 1-June 30, 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

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

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

    0 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report July 1-September 30, 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

  1. DOE/SC-ARM-14-001 Atmospheric Radiation Measurement 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 October 1-December 31, 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

  2. DOE/SC-ARM-14-007 Atmospheric Radiation Measurement 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 January 1-March 31, 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

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

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

    9 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report April 1-June 30, 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

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

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

    5 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report July 1-September 30, 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

  5. DOE/SC-ARM-15-001 Atmospheric Radiation Measurement 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 October 1-December 31, 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

  6. Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report, January 1-March 31, 2016

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

    7 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report January 1-March 31, 2016 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

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

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

    8 Atmospheric Radiation Measurement Climate Research Facility Operations Quarterly Report January 1-March 31, 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

  8. DOE/SC-ARM-15-037 Atmospheric Radiation Measurement 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 April 1-June 30, 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

  9. 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 ... Lofty Goal: Collect Crucial Arctic Climate Change Data with Unmanned Aerial Systems ...

  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 ...

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

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

    SciTech Connect (OSTI)

    Sisterson, DL

    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 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.

  8. 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.

  9. 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

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

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  19. ARM Climate Research Facility

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

    9 ARM Climate Research Facility Quarterly Value-Added Product Report C Sivaraman 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

  20. ARM Climate Research Facility

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

    0 ARM Climate Research Facility Quarterly Value-Added Product Report 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

  1. 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

  2. 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

  3. ARM Climate Research Facility

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

    6 ARM Climate Research Facility Spectral Surface Albedo Value-Added Product (VAP) Report S McFarlane K Gaustad C Long E Mlawer July 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

  4. 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,

  5. 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.

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. ORISE: Climate and Atmospheric Research

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

    Oak Ridge Institute for Science Education Climate and Atmospheric Research Conducting climate research focused on issues of national and global importance is one of the primary objectives of the Atmospheric Turbulence and Diffusion Division (ATDD)-a field division of the National Oceanic and Atmospheric Administration. ORAU partners with ATDD-and in collaboration with scientists and engineers from Oak Ridge National Laboratory (ORNL) as well as government agencies, universities, and private

  14. 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.

  15. 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...

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

    Office of Scientific and Technical Information (OSTI)

    (VAP) implemented by the Atmospheric Radiation Measurement Climate Research Facility. ... approved, (4) other work that leads to a VAP, and (5) top requested VAPs from the archive. ...

  17. 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.

  18. Quality Assurance of ARM Program Climate Research Facility Data (Technical

    Office of Scientific and Technical Information (OSTI)

    Report) | SciTech Connect Quality Assurance of ARM Program Climate Research Facility Data Citation Details In-Document Search Title: Quality Assurance of ARM Program Climate Research Facility Data 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

  19. 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 ...

  20. 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.

  1. 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...

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

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

    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 ...

  3. 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.

  4. 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...

  5. Climate

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Climate & Earth Systems Climate Measurement & Modeling Arctic Climate Measurements Global ...

  6. 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

  7. Satellite Data Support for the ARM Climate Research Facility...

    Office of Scientific and Technical Information (OSTI)

    Satellite Data Support for the ARM Climate Research Facility, 8012009 - 7312015 Citation Details In-Document Search Title: Satellite Data Support for the ARM Climate Research ...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. ARM Climate Research Facility Radar Operations Plan (Program...

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Radar Operations Plan Citation Details In-Document Search Title: ARM Climate Research Facility Radar Operations Plan Roles, responsibilities, and ...

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

    Office of Scientific and Technical Information (OSTI)

    Technical Report: ARM Climate Research Facility Quarterly Value-Added Product Report Citation Details In-Document Search Title: ARM Climate Research Facility Quarterly Value-Added ...

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

    Office of Scientific and Technical Information (OSTI)

    Climate Research Facility Quarterly Value-Added Product Report Fourth Quarter: July 1-September 30, 2012 Citation Details In-Document Search Title: ARM Climate Research Facility ...

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

    Office of Scientific and Technical Information (OSTI)

    Program Document: ARM Climate Research Facility Quarterly Value-Added Product Report Citation Details In-Document Search Title: ARM Climate Research Facility Quarterly Value-Added ...

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

    Office of Scientific and Technical Information (OSTI)

    ARM Climate Research Facility Quarterly Value-Added Product Report Citation Details In-Document Search Title: ARM Climate Research Facility Quarterly Value-Added Product Report ...

  17. FACT SHEET U.S. Department of Energy Atmospheric Radiation Measurement Climate

    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 Energy's efforts to better understand and predict Earth's climate in order to develop sustainable solutions to the nation's energy and environmental challenges. ARM was the first climate research program to deploy a comprehensive suite of cutting-edge instrumentation to continually measure cloud and aerosol properties and

  18. 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

  19. 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...

  20. 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).

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. Climate

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

    National Solar Thermal Test Facility Nuclear ... Climate & Earth Systems Climate Measurement & Modeling ... Tribal Energy Program Intellectual Property Current EC ...

  13. Scientific Guidance, Research, and Educational Outreach for the ARM Climate

    Office of Scientific and Technical Information (OSTI)

    Research Facility (ACRF) in the Southern Great Plains (Technical Report) | SciTech Connect Technical Report: Scientific Guidance, Research, and Educational Outreach for the ARM Climate Research Facility (ACRF) in the Southern Great Plains Citation Details In-Document Search Title: Scientific Guidance, Research, and Educational Outreach for the ARM Climate Research Facility (ACRF) in the Southern Great Plains Scientific Guidance, Research, and Educational Outreach for the ARM Climate Research

  14. ARM Climate Research Facility Quarterly Instrument Report Fourth...

    Office of Scientific and Technical Information (OSTI)

    future instrumentation, and (4) Small Business Innovation Research instrument development. ... Language: English Subject: 54 ENVIRONMENTAL SCIENCES; BUSINESS; CLIMATES; RADIATIONS; ...

  15. 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.

  16. 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.

  17. 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

  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. 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 Monday, December 21, 2015 - 12:00am Researchers at Lawrence Livermore National Laboratory and collaborators have found that most climate models overestimate the increase in global precipitation due to climate change. Specifically, the team looked at 25 models and found they underestimate the increase in absorption of sunlight by water vapor as the atmosphere becomes

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

    Office of Science (SC) Website

    ARM Climate Research Facility Biological and Environmental Research (BER) BER Home About Research Biological Systems Science Division (BSSD) Climate and Environmental Sciences ...

  2. 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

  3. 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

  4. ''Measuring the Costs of Climate Change Policies''

    SciTech Connect (OSTI)

    Montgomery, W. D.; Smith, A. E.; Biggar, S. L.; Bernstein, P.M.

    2003-05-09

    Studies of the costs of climate change policies have utilized a variety of measures or metrics for summarizing costs. The leading economic models have utilized GNP, GDP, the ''area under a marginal cost curve,'' the discounted present value of consumption, and a welfare measure taken directly from the utility function of the model's representative agent (the ''Equivalent Variation''). Even when calculated using a single model, these metrics do not necessarily give similar magnitudes of costs or even rank policies consistently. This paper discusses in non-technical terms the economic concepts lying behind each concept, the theoretical basis for expecting each measure to provide a consistent ranking of policies, and the reasons why different measures provide different rankings. It identifies a method of calculating the ''Equivalent Variation'' as theoretically superior to the other cost metrics in ranking policies. When regulators put forward new economic or regulatory policies, there is a need to compare the costs and benefits of these new policies to existing policies and other alternatives to determine which policy is most cost-effective. For command and control policies, it is quite difficult to compute costs, but for more market-based policies, economists have had a great deal of success employing general equilibrium models to assess a policy's costs. Not all cost measures, however, arrive at the same ranking. Furthermore, cost measures can produce contradictory results for a specific policy. These problems make it difficult for a policy-maker to determine the best policy. For a cost measures to be of value, one would like to be confident of two things. First one wants to be sure whether the policy is a winner or loser. Second, one wants to be confident that a measure produces the correct policy ranking. That is, one wants to have confidence in a policy measure's ability to correctly rank policies from most beneficial to most harmful. This paper analyzes empirically these two properties of different costs measures as they pertain to assessing the costs of the carbon abatement policies, especially the Kyoto Protocol, under alternative assumptions about implementation.

  5. 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...

  6. 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

  7. DOE/SC-ARM-11-024 ARM Climate Research Facility ANNUAL REPORT - 2011

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

    1-024 ARM Climate Research Facility ANNUAL REPORT - 2011 Recovery Act HIGHLIGHTS October 2010 * Doppler lidars tested at the Atmospheric Radiation Measurement (ARM) Climate Research Facility's Southern Great Plains (SGP) site. * Final installation completed for the three X-band scanning ARM precipitation radars (X-SAPRs) at SGP. * Weighing bucket rain gauge installed at Tropical Western Pacifc (TWP) site in Darwin, Australia. November 2010 * Aerosol chemistry speciation monitor incorporated into

  8. 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.

  9. 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...

  10. Advancing Climate Science with Global Research Facilities | Department...

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

    Research at the facilities focuses on four areas: how aerosols affect the global climate; the various stages of cloud evolution; the impact of aerosols on the radiative balance of ...

  11. 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.

  12. 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,

  13. Department of Energy's ARM Climate Research Facility External Data Center

    Office of Scientific and Technical Information (OSTI)

    Operations Plan Located At Brookhaven National Laboratory (Technical Report) | SciTech Connect Technical Report: Department of Energy's ARM Climate Research Facility External Data Center Operations Plan Located At Brookhaven National Laboratory Citation Details In-Document Search Title: Department of Energy's ARM Climate Research Facility External Data Center Operations Plan Located At Brookhaven National Laboratory The External Data Center (XDC) Operations Plan describes the activities

  14. 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, Tonya DOE/Pacific Northwest National Laboratory Category: Infrastructure & Outreach The Data Management Facility (DMF), located at Pacific Northwest National Laboratory, is the central collection point for the ARM Climate Research Facility (ACRF) data for both ingests and Value Added Products. At the present time,

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

    Office of Scientific and Technical Information (OSTI)

    Close Cite: Bibtex Format Close 0 pages in this document matching the terms "" Search For Terms: Enter terms in the toolbar above to search the full text of this document for ...

  16. Atmospheric Radiation Measurement Climate Research Facility ...

    Office of Scientific and Technical Information (OSTI)

    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 ...

  17. Atmospheric Radiation Measurement Climate Research Facility Annual...

    Office of Scientific and Technical Information (OSTI)

    held in Darwin, Australia * Successfully deploying the ARM Mobile Facility in Niger, Africa * Developing the new ARM Aerial Vehicles Program (AVP) to provide airborne ...

  18. 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

  19. 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.

  20. 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.

  1. Research on Greenhouse-Gas-Induced Climate Change

    SciTech Connect (OSTI)

    Schlesinger, M. E.

    2001-07-15

    During the 5 years of NSF grant ATM 95-22681 (Research on Greenhouse-Gas-Induced Climate Change, $1,605,000, 9/15/1995 to 8/31/2000) we have performed work which we are described in this report under three topics: (1) Development and Application of Atmosphere, Ocean, Photochemical-Transport, and Coupled Models; (2) Analysis Methods and Estimation; and (3) Climate-Change Scenarios, Impacts and Policy.

  2. NREL: Climate Neutral Research Campuses - Preparing a Plan and Setting

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

    Priorities Preparing a Plan and Setting Priorities At this stage of formulating a climate action plan, research campuses choose greenhouse gas reduction goals, set dates for achievement, and determine financial constraints and opportunities. The resulting plan can be goal driven or finance driven. In preparing climate action plans, there is usually a desire for specific goals and a need to stay within financial constraints. Because of this, a hybrid approach that combines goals and financial

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. ARM Climate Research Facility Quarterly Ingest Status Report

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

    2 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 not

  8. 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

  9. 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.

  10. DOE/SC-ARM-10-032 ARM Climate Research Facility AnnuAl RepoRt - 2010

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

    10-032 ARM Climate Research Facility AnnuAl RepoRt - 2010 Recovery Act HigHligHts September 2009 * One hundred percent of allocated funding from the American Recovery and Reinvestment Act of 2009 released to the Atmospheric Radiation Measurement (ARM) Climate Research Facility. October 2009 * Preliminary design reviews successfully completed for new solar spectrometer and Data Management Facility (DMF) upgrades. December 2009 * Preliminary design reviews successfully completed for 18 new radars

  11. 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.

  12. DOE Science Showcase - Featured Climate Change Research from...

    Office of Scientific and Technical Information (OSTI)

    Climate Change Information Bridge Energy Citations Database DOE R&D Accomplishments Database DOE Data Explorer Climate Modeling Information Bridge Energy Citations Database DOE R&D ...

  13. 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;

  14. 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.

  15. 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.

  16. 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 ? " *" ? "* ?- ? *? " * ?-

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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

  2. Charter for the ARM Climate Research Facility Science Board ...

    Office of Scientific and Technical Information (OSTI)

    The objective of the ARM Science Board is to promote the Nation's scientific enterprise by ... scientific applications for improving understanding and prediction of climate science. ...

  3. 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.

  4. 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.

  5. 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.

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

    Office of Scientific and Technical Information (OSTI)

    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

  7. (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

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

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

    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

  9. 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...

  10. 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.

  11. 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.

  12. Climate

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

    SunShot Grand Challenge: Regional Test Centers Climate HomeTag:Climate Electricity use by water service sector and county. Shown are electricity use by (a) large-scale ...

  13. 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.

  14. 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.

  15. 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

  16. Quality Assurance of ARM Program Climate Research Facility Data...

    Office of Scientific and Technical Information (OSTI)

    haracterizing the basic measurement; data archival, display, and distribution; data stream reprocessing; and engineering and operations management processesmore and procedures. ...

  17. 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.

  18. 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.

  19. Instrumentation Overview ARM Climate Research Facility 18th Annual ARM Science Team Meeting

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

    Overview ARM Climate Research Facility 18th Annual ARM Science Team Meeting Jimmy Voyles Voyles STM.2008 Presentation Outline Voyles STM.2008 Presentation Outline * Program Science Goals and Approach Voyles STM.2008 Presentation Outline * Program Science Goals and Approach * Research Sites Voyles STM.2008 Presentation Outline * Program Science Goals and Approach * Research Sites * Instrument Strategy Voyles STM.2008 Presentation Outline * Program Science Goals and Approach * Research Sites *

  20. OFFICE OF BIOLOGICAL AND ENVIRONMENTAL RESEARCH Climate and Environmental Sciences Division

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

    BIOLOGICAL AND ENVIRONMENTAL RESEARCH Climate and Environmental Sciences Division ARM/ASR SGP HIGH-RESOLUTION MODELING WORKSHOP EXECUTIVE SUMMARY In order to solicit community feedback, the U.S. Department of Energy (DOE) is hosting a series of workshops on how key scientifc needs, gaps, and priorities in atmospheric process understanding and climate model prediction could be addressed through strategic deployment and operation of instruments and routine high-resolution modeling at the

  1. Atmospheric Radiation Measurement Climate Research Facility (ARM) | U.S.

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

    (Barrels per Calendar Day) Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum

  2. 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.

  3. 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

  4. 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...

  5. 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.

  6. 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...

  7. Global Climate Models

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Climate & Earth Systems Climate Measurement & Modeling Arctic Climate Measurements Global ...

  8. Climate & Earth Systems

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

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Climate & Earth Systems Climate Measurement & Modeling Arctic Climate Measurements Global ...

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. NREL: Measurements and Characterization - Research Staff

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

    Research Staff Materials and Chemical Science and Technology Research Operations staff members at the National Renewable Energy Laboratory work within the Engineering and Informatics group. Access the staff members' background, areas of expertise, and contact information below. Pete Sheldon Director Audrey Carapella Administrative Professional Morgan Curley Business Systems and Database Development Deb Crider SERF Facility Manager Troy McCuskey S&TF/OTF Facility Manager Engineering and

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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

  19. 20 Years of Solar Measurements: The Solar Radiation Research...

    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 ...midcsrrlbms). Of course, in the early years before the internet, we could only ...

  20. 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 &

  1. 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.

  2. 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

  3. 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

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

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

    5 ARM Climate Research Facility Monthly Instrument Report JW Voyles May 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 infringe privately

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

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

    6 ARM Climate Research Facility Monthly Instrument Report JW Voyles June 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 infringe privately

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

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

    7 ARM Climate Research Facility Monthly Instrument Report JW Voyles July 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 infringe privately

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

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

    8 ARM Climate Research Facility Monthly Instrument Report JW Voyles August 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 infringe

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

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

    9 ARM Climate Research Facility Monthly Instrument Report JW Voyles September 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 infringe

  9. DOE/SC-ARM-11-001 ARM Climate Research Facility Quarterly Instrument Report

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

    1 ARM Climate Research Facility Quarterly Instrument Report Fourth Quarter: October 1-December 30, 2010 JW Voyles January 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

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

    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 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 not

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

    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 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 rights.

  12. 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

  13. DOE/SC-ARM-14-005 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 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 infringe privately

  14. 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

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

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

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

    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. 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. 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

  19. Climate

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

    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

  20. 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.

  1. 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.

  2. NREL: Photovoltaics Research - Measurements and Characterization Home Page

    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 Photovoltaics consists of four primary research groups: Analytical Microscopy Device Performance Electro-Optical Characterization Surface Analysis We are eager to share our knowledge base from each of these four research areas, as well as ways we can apply our technique development and capabilities. Analytical Microscopy -

  3. 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.

  4. 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.

  5. climate

    National Nuclear Security Administration (NNSA)

    p>

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

  6. 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.

  7. 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.

  8. 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.

  9. 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)

  10. 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

  11. 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 γ-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.

  12. [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.

  13. Research Highlight

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

    Measuring Climate Model Skill in Producing Present-Day Clouds Download a printable PDF Submitter: Pincus, R., NOAA - CIRES Climate Diagnostics Center Batstone, C., NOAA - CIRES Climate Diagnostics Center Hofmann, R. P., University of Colorado, Boulder/NOAA - ESRL Taylor, K. E., Lawrence Livermore National Laboratory Gleckler, P. J., Lawrence Livermore National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Modeling Journal Reference: Pincus, R, CP Batstone, RJP Hofmann,

  14. 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.

  15. 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.

  16. NREL Reduces Climate Control Loads in Electric Vehicles (Fact Sheet), NREL Highlights in Research & Development, NREL (National Renewable Energy Laboratory)

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

    demonstrates that zonal climate control can reduce air conditioning power and improve range while maintaining driver thermal sensation. When the climate control system in an electric-drive vehicle (EDV) is operating, the energy consumed has a significant impact on range. Researchers at the National Renewable Energy Laboratory (NREL) are seeking to increase in-use EDV range by minimizing climate control energy requirements. The goal is to increase EDV range by 10% during operation of the climate

  17. NREL: Transportation Research - From Pump to Plug: Measuring the Public's

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

    Attitude about Plug-In Electric Vehicles From Pump to Plug: Measuring the Public's Attitude about Plug-In Electric Vehicles April 4, 2016 Vehicle manufacturers, U.S. Department of Energy laboratories, universities, private researchers, and other organizations from around the globe are pursuing advanced vehicle technologies that aim to reduce petroleum consumption. However, the broad acceptance of these technologies depends on consumer sentiment -- drivers must be willing to purchase such

  18. 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.

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

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

    "The scientific community needs more comprehensive data about these cloud types for computer models to continue to improve simulations of future climate," said Anna Palmisano, ...

  20. Radioactive air effluent emission measurements at two research reactors

    SciTech Connect (OSTI)

    McDonald, M.J.; Ghanbari, F.; Burger, M.J.; Holm, C.

    1996-10-01

    Sandia National Laboratories operates two reactors which fall under US Environmental Protection Agency regulations for emission of radionuclides to the ambient air. These reactors are: (1) the Annular Core Research Reactor, a pool-type reactor and (2) the Sandia Pulsed Reactor III, a Godiva-type reactor. The annual radioactive air emissions from these two reactors had been estimated based on engineering calculations and used in the facility Safety Analysis Report. The calculated release rates had never been confirmed through measurements. The purpose of this work was to obtain confirmatory radioactive gas and aerosol concentration measurements for radionuclides in exhaust stacks of these reactors during normal operation; however, the measured production rate of argon-41 was significantly different from the engineering calculations for both reactors. The resolution of this difference is discussed.

  1. 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).

  2. 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.

  3. DOE/SC-ARM-13-022 ARM Climate Research Facility The U.S. Department of Energy

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

    2 ARM Climate Research Facility The U.S. Department of Energy Management Plan August 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

  4. 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.

  5. 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.

  6. 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, ...

  7. Update on 2007 Diesel Particulate Measurement Research | Department...

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

    Real-Time Measurement of Diesel Trap Efficiency Mass Correlation of Engine Emissions with Spectral Instruments Real-Time Particulate Mass Measurements Pre and Post Diesel ...

  8. 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.

  9. An Assessment of Envelope Measures in Mild Climate Deep Energy Retrofits

    SciTech Connect (OSTI)

    Walker, Iain; Less, Brennan

    2014-06-01

    Energy end-uses and interior comfort conditions have been monitored in 11 Deep Energy Retrofits (DERs) in a mild marine climate. Two broad categories of DER envelope were identified: first, bringing homes up to current code levels of insulation and airtightness, and second, enhanced retrofits that go beyond these code requirements. The efficacy of envelope measures in DERs was difficult to determine, due to the intermingled effects of enclosure improvements, HVAC system upgrades and changes in interior comfort conditions. While energy reductions in these project homes could not be assigned to specific improvements, the combined effects of changes in enclosure, HVAC system and comfort led to average heating energy reductions of 76percent (12,937 kWh) in the five DERs with pre-retrofit data, or 80percent (5.9 kWh/ft2) when normalized by floor area. Overall, net-site energy reductions averaged 58percent (15,966 kWh; n=5), and DERs with code-style envelopes achieved average net-site energy reductions of 65percent (18,923 kWh; n=4). In some homes, the heating energy reductions were actually larger than the whole house reductions that were achieved, which suggests that substantial additional energy uses were added to the home during the retrofit that offset some heating savings. Heating system operation and energy use was shown to vary inconsistently with outdoor conditions, suggesting that most DERs were not thermostatically controlled and that occupants were engaged in managing the indoor environmental conditions. Indoor temperatures maintained in these DERs were highly variable, and no project home consistently provided conditions within the ASHRAE Standard 55-2010 heating season comfort zone. Thermal comfort and heating system operation had a large impact on performance and were found to depend upon the occupant activities, so DERs should be designed with the occupants needs and patterns of consumption in mind. Beyond-code building envelopes were not found to be strictly necessary for the achievement of deep energy savings in existing uninsulated homes in mild marine climates, provided that other energy end-uses were comprehensively reduced. We recommend that mild climate DERs pursue envelopes in compliance with the 2012 International Energy Conservation Code (IECC) and pair these with high efficiency, off-the-shelf HVAC equipment. Enhanced building envelopes should be considered in cases where very low heating energy use (<1,000 kWh/year or <0.5 kWh/ft2-year) and enhanced thermal comfort (ASHRAE 55-2010) are required, as well as in those situations where substantial energy uses are added to the home, such as decorative lighting, cooling or smart home A/V and communication equipment.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Search for: "atmospheric radiation measurement" | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    aerosols (188) climatic change (168) research programs ... Division at the Earth System Research Laboratory to ... One class of under-measured radiative forcing agents inmore ...

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

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

    Diffraction Crystals (Conference) | SciTech Connect Conference: Measuring the X-ray Resolving Power of Bent Potassium Acid Phthalate Diffraction Crystals Citation Details In-Document Search Title: Measuring the X-ray Resolving Power of Bent Potassium Acid Phthalate Diffraction Crystals This report presents the results from measuring the X-ray resolving power of a curved potassium acid phthalate (KAP(001)) spectrometer crystal using two independent methods. It is part of a continuing effort

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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)

  2. 2007 Diesel Particulate Measurement Research (E-66 Project) | Department of

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

    Energy 4 Diesel Engine Emissions Reduction (DEER) Conference: Southwest Research Institute PDF icon 2004_deer_khalek.pdf More Documents & Publications Investigation of the Effects of Fuels and Aftertreatment Devices on the Emission Profiles of Trucks and Buses Concentrations and Size Distributions of Particulate Matter Emissions from Catalyzed Trap-Equipped Heavy-duty Diesel Vehicles Operating on Ultra-low Sulfur EC-D Fuel Diesel and Gasoline Engine Emissions: Characterization of

  3. 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.

  4. 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

  5. In situ measurements of heterogeneous reactions on ambient aerosol particles: Impacts on atmospheric chemistry and climate

    SciTech Connect (OSTI)

    Bertram, Timothy

    2015-02-11

    Aerosol particles play a critical role in the Earth’s energy budget through the absorption and scattering of radiation, and/or through their ability to form clouds and alter cloud lifetime. Heterogeneous and multi-phase reactions alter the climate-relevant properties of aerosol particles and catalyze reaction pathways that are energetically unfavorable in the gas phase. The chemical composition of aerosol particles dictates the kinetics of heterogeneous and multi-phase reactions. At present, the vast majority of the molecular level information on these processes has been determined in laboratory investigations on model aerosol systems. The work described here provides a comprehensive investigation into the reactivity of complex, ambient aerosol particles is proposed to determine: 1) how representative laboratory investigations of heterogeneous and multi-phase processes conducted on model, simple systems are of the real atmosphere, and 2) the impact of heterogeneous and multi-phase processes on ambient particle optical properties and their ability to nucleate clouds. This work has focused on the uptake kinetics for ammonia (NH3) and dinitrogen pentoxide (N2O5). The results of these investigations will be used to directly improve the representation of heterogeneous and multi-phase processes in global climate models, by identifying the key mechanistic drivers that control the variability in the observed kinetics.

  6. 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.

  7. Biogenic Aerosols-Effects on Clouds and Climate: Snowfall Experiment

    Office of Scientific and Technical Information (OSTI)

    Field Campaign Report (Program Document) | SciTech Connect SciTech Connect Search Results Program Document: Biogenic Aerosols-Effects on Clouds and Climate: Snowfall Experiment Field Campaign Report Citation Details In-Document Search Title: Biogenic Aerosols-Effects on Clouds and Climate: Snowfall Experiment Field Campaign Report The snowfall measurement campaign took place during deployment of the U.S. Department of Energy (DOE)'s Atmospheric Radiation Measurement (ARM) Climate Research

  8. Research Highlight

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

    Possible Impact of Homogeneous Freezing Nucleation on in Situ Measurements Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., DOE - SunShot Initiative, AAAS S&T Policy Fellow Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mitchell DL, S Mishra, and RP Lawson. 2011. Cirrus Clouds and Climate Engineering: New Findings on Ice Nucleation and Theoretical

  9. IP_Climate_Poster 121312

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

    Title: Northern New Mexico Climate, Water Year 2012 at Los Alamos National Laboratory, ... The water year is a more hydrologically sound measure of climate and hydrological activity ...

  10. ARM Climate Research Facility

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

    Value-Added Product Report C Sivaraman April 2015 DOE/SC-ARM-15-019 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

  11. 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

  12. ARM Climate Research Facility

    Office of Scientific and Technical Information (OSTI)

    Fourth Quarter: July 1-September 30, 2013 C Sivaraman October 2013 Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental ...

  13. ARM Climate Research Facility

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

    81.2 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 McFarlane July 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

  14. 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)

  15. 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

  16. 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.

  17. 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.

  18. ARM Climate Research Facilities on the North Slope of Alaska: Field Campaigns in 2007, New Facilities, and the International Polar Year

    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 Campaign (RHUBC): Feb 26 - Mar 14 2007 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. Contributors: Mark Ivey, Bernie Zak, Jeff Zirzow, Sandia National Labs

  19. 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.

  20. Research Highlight

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

    a printable PDF Submitter: Schmid, B., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: ARM Climate Research...

  1. 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. ​

  2. 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.

  3. Research Highlight

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

    Growing More Effective Ways to Measure 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): Cloud-Aerosol-Precipitation Interactions Journal Reference: Maseyk K, JA Berry, D Billesbach, JE Campbell, MS Torn, M Zahniser, and U Seibt. 2014. "Sources and sinks of carbonyl sulfide in an agricultural field in the Southern Great Plains." Proceedings of the National Academy of

  4. Research Highlight

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

    ARM Observations Validate Climate Model for Tropical Cirrus Clouds Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Comstock, J.M., C. Jakob, Evaluation of tropical cirrus cloud properties derived from ECMWF model output and ground based measurements over Nauru Island, 2004, Geophys. Res. Ltr, Vol.31, L10106, doi:10.1029/2004GL019539. Composite

  5. 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

  6. 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.

  7. 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.

  8. 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 ...

  9. 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.

  10. Carbon Dioxide Effects Research and Assessment Program. Workshop on environmental and societal consequences of a possible CO/sub 2/-induced climate change

    SciTech Connect (OSTI)

    1980-10-01

    The Workshop was part of a process of elucidating areas of uncertainty where research is needed before meaningful forecasts and sound decisions can be made about the CO/sub 2/ issue. The conferees were divided into five panels dealing with the ocean and the cryosphere: the less managed biosphere; the managed biosphere (chiefly agricultural, forest, and grazing lands); the ways society and its institutions might respond to climate changes; and issues involving the economic and geopolitical consequences of CO/sub 2/ build-up. Also, 28 papers or discussion drafts dealing with a wide variety of topics were contributed to the conference.

  11. 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...

  12. Picture of the Week: Shedding light on climate change

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

    8 Shedding light on climate change Using data from their portable Antarctic observatory, researchers from the Atmospheric Radiation Measurement (ARM) Climate Research Facility hope to develop a comprehensive explanation for the warming of the West Antarctic Ice Sheet. May 12, 2016 Recent models have studied how three quinones (a class of organic compounds) influence electron transfer between the enzyme and the electrode to determine the best placement of enzymes on the electrode's surface. Using

  13. 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...

  14. Understanding Climate Change

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

    Climate Change Sandia Researchers Travel to the North Slope of Alaska Exceptional Service in the National Interest Alaska C a n a d a U n i t e d S t a t e s Russia North Slope Barrow Oliktok Atqasuk Arctic Ocean Sandia researchers are members of a global research team whose work on the cold tundra in northern Alaska is helping to transform sci- entists' understanding of what the future may hold for Earth's climate. A Centerpiece of DOE Climate Research Sponsored by DOE's Office of Science and

  15. 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?

  16. 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...

  17. Research Highlight

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

    in Climate Models Submitter: Zhang, G., University of California, San Diego Area of Research: General Circulation and Single Column ModelsParameterizations Working Group(s):...

  18. 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.

  19. Climate Change Adaptation Technical Fact Sheet: Contaminated...

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

    of potential climate change vulnerabilities and (2) presenting possible adaptation measures that may be considered to increase a remedy's resilience to climate change impacts. ...

  20. Research

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

    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 ...

  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.

    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. 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).

  3. Preliminary Measurements From A New Flat Plate Facility For Aerodynamic Research

    SciTech Connect (OSTI)

    D. M. McEligot; D. W. Nigg; E. J. Walsh; D. Hernon; M.R.D. Davies

    2005-03-01

    This paper details the design and preliminary measurements used in the characterisation of a new flat plate research facility. The facility is designed specifically to aid in the understanding of entropy generation throughout the boundary layer with special attention given to non-equilibrium flows. Hot-wire measurements were obtained downstream of two turbulence generating grids. The turbulence intensity, integral and dissipation length scale ranges measured are 1.6%-7%, 5mm-17mm and 0.7mm-7mm, respectively. These values compared well to existing correlations. The flow downstream of both grids was found to be homogenous and isotropic. Flow visualisation is employed to determine aerodynamic parameters such as flow 2-dimensionality and the effect of the flap angle on preventing separation at the leading edge. The flow was found to be 2-dimensional over all measurement planes. The non-dimensional pressure distribution of a modern turbine blade suction surface is simulated on the flat plate through the use of a variable upper wall. The Reynolds number range based on wetted plate length and inlet velocity is 70,000-4,000,000.

  4. 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 ...

  5. Research Highlight

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

    and aerosol optical quantities for some distinct aerosol types using an extensive set of observational data collected at multiple Atmospheric Radiation Measurement (ARM) Climate...

  6. PROCEEDINGS OF RIKEN/BNL RESEARCH CENTER WORKSHOP FUTURE TRANSVERSITY MEASUREMENTS (VOLUME 29).

    SciTech Connect (OSTI)

    Boer, D.; Grosse Perdekamp, M.

    2001-01-02

    The RIKEN-BNL Research Center workshop on ''Future Transversity Measurements'' was held at BNL from September 18-20, 2000. The main goal of the workshop was to explore future measurements of transversity distributions. This issue is of importance to the RHIC experiments, which will study polarized proton-proton collisions with great precision. One of the workshop's goals was to enhance interactions between the DIS community at HERA and the spin community at RHIC in this field. The workshop has been well received by the participants; the number of 69 registered participants demonstrates broad interest in the workshop's topics. The program contained 35 talks and there was ample time for lively discussions. The program covered all recent work in the field and in addition some very elucidating educational talks were given. At the workshop the present status of the field was discussed and it has succeeded in stimulating new experimental and theoretical studies (e.g. model calculations for interference fragmentation functions (IFF), IFF analysis at DELPHI). It also functioned to focus attention on the open questions that need to be resolved for near future experiments. In general, the conclusions were optimistic, i.e. measuring the transversity functions seems to be possible, although some new experimental hurdles will have to be taken.

  7. 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.

  8. 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

  9. 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.

  10. 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.

  11. Research Highlight

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

    Ground-Based Cloud Measurements Used to Evaluate the Simulation of Arctic Clouds in CCSM4 Download a printable PDF Submitter: de Boer, G., University of Colorado, Boulder/CIRES Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: de Boer G, W Chapman, JE Kay, B Medeiros, MD Shupe, S Vavrus, and JE Walsh. 2011. "A characterization of the present-day Arctic atmosphere in CCSM4." Journal of Climate, 25(8),

  12. Renewable Energy and Climate Change

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

    Renewable Energy and Climate Change Symposium in Honor of 2009 and 2010 ACS Fellows in the Industrial and Engineering Chemistry Division Helena Chum, NREL Research Fellow August ...

  13. 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%.

  14. Research

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

    ... Highlights of these technologies are a single step attachment of LHRH to iron oxide ... the temperature in the channel as well as exchange time with space resolved measurements. ...

  15. Research

    SciTech Connect (OSTI)

    1999-10-01

    Subjects covered in this section are: (1) PCAST panel promotes energy research cooperation; (2) Letter issued by ANS urges funding balance in FFTF restart consideration and (3) FESAC panel releases report on priorities and balance.

  16. 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.

  17. 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.

  18. 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

  19. Climate Change Impact Valuation Models Revisited | U.S. DOE Office...

    Office of Science (SC) Website

    Climate Change Impact Valuation Models Revisited Biological and Environmental Research ... Climate Change Impact Valuation Models Revisited Valuing diverse climate impacts in ...

  20. 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.

  1. ARM - Climate

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

    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 ...

  2. Research Highlight

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

    Metrics and Diagnostics for Climate Model Short-Range Hindcasts Download a printable PDF Submitter: Ma, H., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Ma H, S Xie, JS Boyle, SA Klein, and Y Zhang. 2012. "Metrics and diagnostics for precipitation-related processes in climate model short-range hindcasts." Journal of Climate, , . ACCEPTED. Pattern statistics

  3. 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.

  4. 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...

  5. 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.

  6. 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.

  7. Subsurface Biogeochemical Research | U.S. DOE Office of Science...

    Office of Science (SC) Website

    BER Home About Research Biological Systems Science Division (BSSD) Climate and Environmental Sciences Division (CESD) ARM Climate Research Facility Atmospheric System Research ...

  8. 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...

  9. 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.

  10. 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...

  11. Climate, Ocean and Sea Ice Modeling

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

    role of ocean and ice in high-latitude climate change and projecting the impacts of ... COSIM researchers develop, test and apply ocean and ice models in support of DOE Climate ...

  12. Climate Change Adaptation/Resilience | Department of Energy

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

    Climate Change Adaptation/Resilience Climate Change Adaptation/Resilience 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,

  13. Research Highlight

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

    Scale-Aware Parameterization of Liquid Cloud Inhomogeneity and Its Impact on Simulated Climate Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Xie X and M Zhang. 2015. "Scale-aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM." Journal of Geophysical Research - Atmospheres, 120(16),

  14. Climate Change Adaptation Technical Fact Sheet: Landfills and...

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

    of potential climate change vulnerabilities and (2) presenting possible adaptation measures that may be considered to increase a remedy's resilience to climate change impacts. ...

  15. Continuous Evaluation of Fast Processes in Climate Models Using...

    Office of Scientific and Technical Information (OSTI)

    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 ...

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. Improved Rotating Shadowband Radiometer Measurement Performance: Cooperative Research and Development Final Report, CRADA Number CRD-08-294

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

    Improved Rotating Shadowband Radiometer Measurement Performance Cooperative Research and Development Final Report CRADA Number: CRD-08-294 NREL Technical Contact: Afshin M. Andreas CRADA Report NREL/TP-5D00-63769 February 2015 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free

  1. Prompt-period measurement of the Annular Core Research Reactor prompt neutron generation time

    SciTech Connect (OSTI)

    Coats, R.L.; Talley, D.G.; Trowbridge, F.R.

    1994-07-01

    The prompt neutron generation time for the Annular Core Research Reactor was experimentally determined using a prompt-period technique. The resultant value of 25.5 {mu}s agreed well with the analytically determined value of 24 {mu}s. The three different methods of reactivity insertion determination yielded {+-}5% agreement in the experimental values of the prompt neutron generation time. Discrepancies observed in reactivity insertion values determined by the three methods used (transient rod position, relative delayed critical control rod positions, and relative transient rod and control rod positions) were investigated to a limited extent. Rod-shadowing and low power fuel/coolant heat-up were addressed as possible causes of the discrepancies.

  2. Estimating Air Chemical Emissions from Research Activities Using Stack Measurement Data

    SciTech Connect (OSTI)

    Ballinger, Marcel Y.; Duchsherer, Cheryl J.; Woodruff, Rodger K.; Larson, Timothy V.

    2013-02-15

    Current methods of estimating air emissions from research and development (R&D) activities use a wide range of release fractions or emission factors with bases ranging from empirical to semi-empirical. Although considered conservative, the uncertainties and confidence levels of the existing methods have not been reported. Chemical emissions were estimated from sampling data taken from four research facilities over ten years. The approach was to use a Monte Carlo technique to create distributions of annual emission estimates for target compounds detected in source test samples. Distributions were created for each year and building sampled for compounds with sufficient detection frequency to qualify for the analysis. The results using the Monte Carlo technique without applying a filter to remove negative emission values showed almost all distributions spanning zero, and forty percent of the distributions having a negative mean. This indicates that emissions are so low as to be indistinguishable from building background. Application of a filter to allow only positive values in the distribution provided a more realistic value for emissions and increased the distribution mean by an average of sixteen percent. Release fractions were calculated by dividing the emission estimates by a building chemical inventory quantity. Two variations were used for this quantity: chemical usage, and chemical usage plus one-half standing inventory. Filters were applied so that only release fraction values from zero to one were included in the resulting distributions. Release fractions had a wide range among chemicals and among data sets for different buildings and/or years for a given chemical. Regressions of release fractions to molecular weight and vapor pressure showed weak correlations. Similarly, regressions of mean emissions to chemical usage, chemical inventory, molecular weight and vapor pressure also gave weak correlations. These results highlight the difficulties in estimating emissions from R&D facilities using chemical inventory data.

  3. 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.

  4. 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.

  5. Research Highlight

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

    Modified Climate Model Better Replicates Global Rainfall Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Song X, GJ Zhang, and JF Li. 2012. "Evaluation of microphysics parameterization for convective clouds in the NCAR Community Atmosphere Model CAM5." Journal of Climate, 25(24), doi:10.1175/JCLI-D-11-00563.1. Rainfall in the

  6. Research Highlight

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

    Most Systematic Errors in Climate Models Appear in Only a Few Days of Model Integration Download a printable PDF Submitter: Ma, H., Lawrence Livermore National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Ma H, S Xie, SA Klein, KD Williams, JS Boyle, S Bony, H Douville, S Fermepin, B Medeiros, S Tyteca, M Watanabe, and DL Williamson. 2014. "On the correspondence between mean forecast errors and climate errors in

  7. Research Highlight

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

    Weather Prediction and Climate Simulation: a Meeting of the Models Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Phillips, T. J. G.L. Potter, D.L. Williamson, R.T. Cederwall, J.S. Boyle, M. Fiorino, J.J. Hnilo, J.G. Olson, S. Xie, J.J. Yio, Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction, Bulletin

  8. 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 Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Cole, J. N. S., H. W. Barker, D. A. Randall, M. F. Khairoutdinov, and E. E. Clothiaux (2005), Global consequences of interactions between clouds and radiation at scales unresolved by global climate models, Geophys. Res. Lett., 32,

  9. 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,

  10. 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

  11. Research Highlight

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

    Global Dimming and Brightening: an Update Beyond 2000 Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Wild, M., Institute for Atmospheric and Climate Science - ETH Zurich Truessel, B., Institute for Atmospheric and Climate Science - ETH Zurich Ohmura, A., Swiss Federal Institute of Technology Koenig-Langlo, G., Alfred Wegener Institute Dutton, E. G., NOAA/OAR/ESRL Tsvetkov, A. V., World Radiation Data Centre Area of Research: Radiation Processes Working

  12. 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

  13. Research Highlight

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

    Progress Towards Climate Projections of Central U.S. Rainfall Using a Global Model with Embedded Explicit Convection Download a printable PDF Submitter: Pritchard, M. S., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Pritchard MS, MW Moncrieff, and RC Somerville. 2011. "Orogenic propagating precipitation systems over the US in a global climate model with embedded

  14. Research Highlight

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

    Many Forecast Errors Are Climate Errors 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, H Ma, JS Boyle, SA Klein, and Y Zhang. 2012. "On the correspondence between short- and long-timescale systematic errors in CAM4/CAM5 for the years of tropical convection." Journal of Climate, 25(22),

  15. 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.

  16. 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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. Regional & Global Climate Modeling (RGCM) Program | U.S. DOE Office of

    Office of Science (SC) Website

    Science (SC) Regional & Global Climate Modeling (RGCM) 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

  3. Atmospheric Radiation Measurement (ARM) Data from the ARM Aerial Facility

    Office of Scientific and Technical Information (OSTI)

    () | Data Explorer the ARM Aerial Facility Title: Atmospheric Radiation Measurement (ARM) Data from the ARM Aerial Facility The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of these models. ARM data is collected both through

  4. Atmospheric Radiation Measurement (ARM) Data from the North Slope Alaska

    Office of Scientific and Technical Information (OSTI)

    (NSA) Site () | Data Explorer North Slope Alaska (NSA) Site Title: Atmospheric Radiation Measurement (ARM) Data from the North Slope Alaska (NSA) Site The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of these models. To achieve

  5. Atmospheric Radiation Measurement (ARM) Data from the Southern Great Plains

    Office of Scientific and Technical Information (OSTI)

    (SGP) Site () | Data Explorer Southern Great Plains (SGP) Site Title: Atmospheric Radiation Measurement (ARM) Data from the Southern Great Plains (SGP) Site The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of these models. To

  6. Atmospheric Radiation Measurement (ARM) Data from the Tropical Western

    Office of Scientific and Technical Information (OSTI)

    Pacific (TWP) Site. () | Data Explorer Tropical Western Pacific (TWP) Site. Title: Atmospheric Radiation Measurement (ARM) Data from the Tropical Western Pacific (TWP) Site. The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy. The primary goal of the ARM Program is to improve the treatment of cloud and radiation physics in global climate models in order to improve the climate simulation capabilities of

  7. Climate Time-Machine

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

    Climate Time-Machine Climate Time-Machine 20th Century Reanalysis Project Explores Earth's Past and Future Climate January 25, 2011 Berkeley Lab Contact: Jon Bashor, ...

  8. Measurement

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

    ... We created a small library to record the current state of the energy and time counters and then inserted calls ... MiniDFT energy usage was measured separately for the ...

  9. Research Highlight

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

    Back to Basics: Theoretical Studies on Storm Clouds and Implications for Modeling For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Storms associated with deep convection are a key component of weather and climate. For example, they produce a large share of precipitation that falls to the Earth's surface, and their anvil shields act as a thermal blanket on the planet. To understand the behavior of these storms, researchers

  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. 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

  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. 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...

  14. 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 ...

  15. 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).

  16. 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:

  17. 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.

  18. 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.

  19. Research Highlight

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

    ARM Measurements Validate New Satellite Multilayer Cloud Remote Sensing Method Submitter: Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions...

  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. 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)

  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. Overview of the Climate Change Science Program \(by Richard Moss\)

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

    3 ARM Science Team Meeting The U.S. Climate Change Science Program Strategic Plan 2003 ARM Science Team Meeting The U.S. Climate Change Science Program Strategic Plan Susan K. Avery, Ph.D. Director, Cooperative Institute for Research in Environmental Sciences and Climate Change Science Program www.climatescience.gov U.S. Climate Change Science Program - Themes * Global climate change: a capstone issue for our generation. Major new technology is needed. * Accelerate the application of basic

  4. 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

  5. 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

  6. Research Highlight

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

    Digging Into Climate Models' Needs with SPADE Download a printable PDF Submitter: Gustafson, W. I., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Gustafson WI, PL Ma, H Xiao, B Singh, PJ Rasch, and JD Fast. 2013. "The separate physics and dynamics experiment (SPADE) framework for determining resolution awareness: A case study of microphysics." Journal of Geophysical Research -

  7. 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 -

  8. Research Highlight

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

    Birth and Growth of an Aerosol Download a printable PDF Submitter: Fast, J. ., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A An aerosol particle journey. New modeling approaches developed by a research team led by PNNL show how aerosol particles are born and grow to affect the atmosphere and ultimately climate. Tiny atmospheric aerosols are some of the most highly

  9. Research Highlight

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

    Birth and Growth of an Aerosol For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Tiny atmospheric aerosols are some of the most highly studied particles connected with Planet Earth, yet questions remain on how they are formed and how they affect climate. Now Pacific Northwest National Laboratory scientists have developed new approaches to accurately model the birth and growth of these important aerosols. "Most

  10. 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., Lawrence Berkeley National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A Figure 1. Shortwave cloud forcing for three versions of the NCAR Community Atmosphere Model (CAM) with CERES

  11. Research Highlight

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

    Putting the Pieces Together Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Fan J, S Ghan, M Ovchinnikov, X Liu, P Rasch, and A Korolev. 2011. "Representation of arctic mixed-phase clouds and the Wegener-Bergeron-Findeisen process in climate models: Perspectives from a cloud-resolving study." Journal of Geophysical Research - Atmospheres, 116,

  12. 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 ...

  13. Research Highlight

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

    Rain and Cloud Resistance Download a printable PDF Submitter: Flaherty, J., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Deng L, S McFarlane, and J Flaherty. 2013. "Characteristics associated with the Madden-Julian Oscillation at Manus Island." Journal of Climate, 26(10), doi:10.1175/JCLI-D-12-00312.1. Deep tropical clouds are sometimes called the engines of the global climate. They

  14. 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

  15. Research Highlight

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

    Weather Forecasting in the Tropics with Climate Models Is Feasible Submitter: Boyle, J., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Climate Model Forecast Experiments for TOGA-COARE. J. Boyle,S. Klein,G. Zhang,S. Xie,X. Wei. Accepted by Monthly Weather Review Figure 1. Profiles of the apparent heat source (Q1) at the TOGA-COARE central site for the observations and

  16. 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/Characterizations Working Group(s): Cloud Modeling Journal Reference: Xie S, RB McCoy, SA Klein, RT Cederwall, WJ Wiscombe, EE Clothiaux, KL Gaustad, J Golaz, S Hall, MP Jensen, KL Johnson, Y Lin, CN Long, JH Mather, RA McCord, SA McFarlane, G Palanisamy, Y Shi, and DD Turner. 2010. "ARM Climate Modeling Best Estimate

  17. 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.

  18. 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...

  19. 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)...

  20. 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,

  1. 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.

  2. 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

  3. 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.

  4. Biological and Environmental Research Advisory CommitteeOctober...

    Office of Science (SC) Website

    Gary Geernaert .pdf file (2.2MB) - Climate and Environmental Sciences Division Update Minghua Zhang .pdf file (215KB) - Climate and Environmental Research Division COV Gary Stacey ...

  5. 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.

  6. 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, ...

  7. 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.

  8. Assessing Climate Uncertainty

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

    Climate Uncertainty The uncertainty in climate change and in its impacts is of great concern to the international community. While the ever-growing body of scientific evidence substantiates present climate change, the driving concern about this issue lies in the consequences it poses to humanity. Policy makers will most likely need to make decisions about climate policy before climate scientists have quantified all relevant uncertainties about the impacts of climate change. Sandia scientists

  9. Posters Long-Pathlength Infrared Absorption Measurements

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

    3 Posters Long-Pathlength Infrared Absorption Measurements in the 8- to 14-µm Atmospheric Window: Self-Broadening Coefficient Data T. J. Kulp (a) and J. Shinn Geophysics and Environmental Research Program Lawrence Livermore National Laboratory Livermore, California Introduction The accurate characterization of the latent infrared (IR) absorption in the atmospheric window regions continues to be an area of research interest for the global climate modeling community. In the window between 8 and

  10. Atmospheric Radiation Measurement Convective and Orographically Induced

    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 Mobile Facility (AMF) to support a long-term precipitation study in the Black Forest region of Germany. Requested by researchers from the University of Hohenheim, the AMF will be deployed as one of four heav- ily instrumented supersites established for the Convective and Orographically Induced Precipita- tion Study

  11. SEAB Climate Action Plan

    Office of Energy Efficiency and Renewable Energy (EERE)

    A presentation on the Climate Action Plan presented by Dr. Jonathan Pershing, Deputy Assistant Secretary for Climate Change at the U.S. Department of Energy.

  12. 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...

  13. 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...

  14. Global Climate & Energy

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

    SunShot Grand Challenge: Regional Test Centers Global Climate & Energy HomeTag:Global Climate & Energy Electricity use by water service sector and county. Shown are electricity ...

  15. Climate Change Response

    Energy Savers [EERE]

    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 ...

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. A Unified Approach for Reporting ARM Measurement Uncertainties Technical

    Office of Scientific and Technical Information (OSTI)

    Report (Program Document) | SciTech Connect A Unified Approach for Reporting ARM Measurement Uncertainties Technical Report Citation Details In-Document Search Title: A Unified Approach for Reporting ARM Measurement Uncertainties Technical Report The Atmospheric Radiation Measurement (ARM) Climate Research Facility is observationally based, and quantifying the uncertainty of its measurements is critically important. With over 300 widely differing instruments providing over 2,500 datastreams,

  20. 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.

  1. 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)

  2. 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

  3. Research Highlight

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

    A Finer Mesh to Improve Cloud Representation in Climate Models? Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Boutle IA, SJ Abel, PG Hill, and CJ Morcrette. 2013. "Spatial variability of liquid cloud and rain: observations and microphysical effects." Quarterly Journal Royal Meteorological Society, , doi:10.1002/qj.2140. Different sizes of water droplets as well as varying water

  4. Research Highlight

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

    Cloud Survey over West Africa Reveals Climate Impact of Mid-Level Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Bouniol D, F Couvreux, PH Kamsu-Tamo, M Leplay, F Guichard, F Favot, and EJ O'Connor. 2012. "Diurnal and seasonal cycles of cloud occurrences, types, and radiative impact over West Africa." Journal of Applied Meteorology and Climatology, 51(3),

  5. 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.

  6. 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),

  7. 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.

  8. Research Highlight

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

    A Tall Order: Climate Models Fall Short in Predicting African Sahel Rainfall Download a printable PDF Submitter: Roehrig, R., Meteo-France CNRM/GMME/MOANA Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Roehrig R, D Bouniol, F Guichard, F Hourdin, and JL Redelsperger. 2013. "The present and future of the West African Monsoon: A process-oriented assessment of CMIP5 simulations along

  9. 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

  10. 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

  11. 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

  12. 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

  13. Research Highlight

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

    Probabilistic Approach Useful for Evaluating Cloud System Models Submitter: Jakob, C., Monash University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Jakob, C., R. Pincus, C. Hannay, and K.M. Xu (2004). Use of cloud radar observations for model evaluation: A probabilistic approach, J. Geophys. Res., 109, D03202, doi:10.1029/2003JD003473. In evaluating climate models, time and space represent key challenges

  14. 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.

  15. Research Highlight

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

    Use of ARM Products in Reanalysis Applications and IPCC Model Assessment Download a printable PDF Submitter: Walsh, J. E., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Walsh, J. E., W. L. Chapman, and D. H. Portis: Arctic clouds and radiative fluxes in large-scale atmospheric reanalysis. Submitted to the Journal of Climate. Figure 1. Monthly mean cloud fraction is shown here from ARM-observations

  16. 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

  17. 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

  18. Research Highlight

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

    Intercomparison of Longwave Radiative Heating Algorithms Submitter: Baer, F., University of Maryland Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Baer, F., N. Arsky, J. J. Charney, and R. G. Ellingson. 1996. "Intercomparison of Heating Rates Generated by Global Climate Model Longwave Radiation Codes." J. Geoph. Res., 101, D21, 26589-26603. 30 levels of longwave heating rates for all algorithms

  19. 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

  20. Research Highlight

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

    Seasonal Variation of the Physical Properties of Marine Boundary Clouds Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling, Cloud Properties Journal Reference: Lin W, M Zhang, and NG Loeb. 2009. "Seasonal variation of the physical properties of marine boundary layer clouds off the California coast." Journal of Climate, 22(10), doi:10.1175/2008JCLI2478.1. Image (a). Seasonal

  1. Research Highlight

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

    Improving Cloud Parameterizations in Climate Models: Implications from CAM3 and WRF Simulations Download a printable PDF Submitter: Wang, W., Pacific Northwest National Laboratory Liu, X., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Wang W, X Liu, S Xie, J Boyle, and SA McFarlane. 2009. "Testing ice microphysics parameterizations in the NCAR Community Atmospheric Model Version 3

  2. Research Highlight

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

    Global Variability of Mesoscale Convective System Anvil Structure from A-train Satellite Data Submitter: Yuan, J., Nanjing University Houze, R., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Yuan J and RA Houze. 2010. "Global variability of mesoscale convective system anvil structure from A-train satellite data." Journal of Climate, 23, 5864-5888. Figure. 1 Annual mean (2007) climatology of anvil

  3. Research Highlight

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

    Biases in Column Absorption for Fractal Clouds Submitter: Wiscombe, W. J., Brookhaven National Laboratory Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak, Alexander; Davis, Anthony; Wiscombe, Warren; Ridgway, William; Cahalan, Robert; 1998: "Biases in Shortwave Column Absorption in the Presence of Fractal Clouds," J. Climate 11(3):431-446. Figure 1: Water vapor transmission spectra for solar zenith angle of 60 degree. From the top:

  4. Research Highlight

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

    New Insight on the Atmosphere's Tiniest Particles Download a printable PDF Submitter: Smith, J., University of California, Irvine McMurry, P. ., University of Minnesota Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Smith JN, KC Barsanti, HR Friedli, M Ehn, M Kulmala, DR Collins, JH Scheckman, BJ Williams, and PH McMurry. 2010. "Observations of aminium salts in atmospheric nanoparticles and possible climatic implications." Proceedings of

  5. 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."

  6. Research Highlight

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

    Black Carbon Reduction of Snow Albedo Submitter: Kirchstetter, T. W., Lawrence Berkeley National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Hadley OL and TW Kirchstetter. 2012. "Black carbon reduction of snow albedo." Nature Climate Change, , doi:10.1038/nclimate1433. Spectrally weighted snow albedo over the 300-2,500 nm solar spectrum: derived from our experiments (dots, 1 standard deviation) and modelled using SNICAR

  7. Research Highlight

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

    Improved Simulation of Boundary Layer Clouds Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1. Comparison of Boundary Layer Clouds Schemes in Climate Models with Satellite Observations Key Contributors: James McCaa, as part of his Ph.D. dissertation at University of Washington Chris Bretherton, University of Washington Dennis Hartmann, University of

  8. Research Highlight

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

    Regional Controls on Ozone Precursors Will Have Different Impacts on Future Climate Download a printable PDF Submitter: Bergmann, D., Lawrence Livermore National Laboratory Chuang, C., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Aerosol Life Cycle Journal Reference: Fry MM, V Naik, JJ West, MD Schwartzkopf, AM Fiore, WJ Collins, FJ Dentener, DT Shindell, C Atherton, D Bergmann, BN Duncan, P Hess, IA

  9. Addressing Climate Change with Next Generation Energy Storage Technology -

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

    Joint Center for Energy Storage Research March 19, 2015, Videos Addressing Climate Change with Next Generation Energy Storage Technology George Crabtree gives keynote at Loyola University In March 2015, George Crabtree gave the keynote address, "Addressing Climate Change with Next Generation Energy Storage Technology" at the Institute of Environmental Sustainability Climate Change Conference at Loyola University

  10. 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.

  11. 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.

  12. Continuous Evaluation of Fast Processes in Climate Models Using ARM

    Office of Scientific and Technical Information (OSTI)

    Measurements (Technical Report) | SciTech Connect 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 data sets for

  13. 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.

  14. 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...

  15. 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

  16. Search for: "atmospheric radiation measurement" | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... radiation (237) climate models (206) radar reflectivity (194) aerosols (188) climatic change (168) research programs (157) vertical velocity (155) atmospheric chemistry (146) ...

  17. Atmospheric Radiation Measurement (ARM) Data from Black Forest...

    Office of Scientific and Technical Information (OSTI)

    climate models in order to improve the climate simulation capabilities of these models. ... Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ...

  18. 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

  19. 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,

  20. 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