National Library of Energy BETA

Sample records for atmospheric research boulder

  1. EERE Success Story-University of Colorado-Boulder Researches

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

    Solar-Thermochemical Hydrogen Production | Department of Energy Colorado-Boulder Researches Solar-Thermochemical Hydrogen Production EERE Success Story-University of Colorado-Boulder Researches Solar-Thermochemical Hydrogen Production July 26, 2013 - 12:00am Addthis EERE funds research at the University of Colorado-Boulder for a hydrogen production technology that uses solar energy to produce hydrogen from water. The thermochemical process being used has minimal water requirements, in

  2. Hierarchical Diagnosis A. J. Heymsfield and J. L. Coen National Center for Atmospheric Research

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

    A. J. Heymsfield and J. L. Coen National Center for Atmospheric Research Boulder, CO 80307-3000 dispersion of hydrometeors in a stratiform anvil cloud. Given the momentum, vapor, and ice fluxes into the stratiform region and the temperature and humidity structure in the anvil's environment, this model will suggest anvil properties and structure. We will be using microphysical measurements from Kwajalein and the Tropical Ocean Global Atmosphere (TOGA) Coupled Ocean Atmosphere Response Experiment

  3. 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

  4. 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 ...

  5. 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

  6. Boulder Wind Power Advanced Gearless Drivetrain: Cooperative Research and Development Final Report, CRADA Number CRD-12-00463

    SciTech Connect (OSTI)

    Cotrell, J.

    2013-04-01

    The Boulder Wind Power (BWP) Advanced Gearless Drivetrain Project explored the application of BWP's innovative, axial-gap, air-core, permanent-magnet direct-drive generator in offshore wind turbines. The objective of this CRADA is to assess the benefits that result from reduced towerhead mass of BWP's technology when used in 6 MW offshore turbines installed on a monopile or a floating spar foundation.

  7. 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 ...

  8. 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 ...

  9. 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 ...

  10. Boulder, Colorado: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Institute Registered Networking Organizations in Boulder, Colorado American Solar Energy Society Boulder Innovation Center CleanTech Boulder Western Resource Advocates...

  11. Workplace Charging Challenge Partner: Boulder County

    Broader source: Energy.gov [DOE]

    Joined the Challenge: January 2016Headquarters: Boulder, COCharging Locations: Boulder, CO; Longmont, CODomestic Employees: 2,377

  12. 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 ...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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)

  19. 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

  20. Boulder Wind Power | Open Energy Information

    Open Energy Info (EERE)

    Power Jump to: navigation, search Name: Boulder Wind Power Address: 2845 Wilderness Place Suite 201 Place: Boulder, CO Zip: 80301 Sector: Wind energy Website: www.boulderwindpower....

  1. Boulder Innovation Center | Open Energy Information

    Open Energy Info (EERE)

    Innovation Center Jump to: navigation, search Name: Boulder Innovation Center Address: 1900 15th Street Place: Boulder, Colorado Zip: 80302 Region: Rockies Area Number of...

  2. Boulder County- Elevations Energy Loans

    Broader source: Energy.gov [DOE]

    Elevations Credit Union has partnered with Boulder County and the City/County of Denver to offer this full-suite of services. Both EnergySmart and the Denver Energy Challenge help residents and b...

  3. University of Colorado at Boulder Renewable and Sustainable Energy...

    Open Energy Info (EERE)

    Colorado at Boulder Renewable and Sustainable Energy Institute Jump to: navigation, search Logo: CU-Boulder Renewable and Sustainable Energy Institute Name: CU-Boulder Renewable...

  4. Boulder County Data Dashboard | Department of Energy

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

    Data Dashboard Boulder County Data Dashboard The data dashboard of Boulder County, a partner in the U.S. Department of Energy's Better Buildings Neighborhood Program. File Boulder County Data Dashboard More Documents & Publications Kansas City Data Dashboard Bainbridge Island Data Dashboard Eagle County, Colorado Data Dashboard

  5. Boulder, Colorado: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    (E2) Hogan & Hartson Registered Energy Companies in Boulder, Colorado A2BE Carbon Capture LLC Albeo Technologies Also Energy American Environmental Products American Solar...

  6. DOE Zero Energy Ready Home Case Study: Boulder ZED Design Build - Boulder,

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

    Colorado | Department of Energy Boulder ZED Design Build - Boulder, Colorado DOE Zero Energy Ready Home Case Study: Boulder ZED Design Build - Boulder, Colorado Case study of a DOE Zero Energy Ready Home in Boulder, Colorado, that scored HERS 38 without PV and 0 with PV. This 2,504 ft2 custom home has advanced framed walls with 2 inches closed-cell spray foam, a liquid-applied membrane over the sheathing, 3.5 inches of rigid foam above the roof deck and 1 inch of closed-cell foam below the

  7. Alternative Fuels Data Center: Boulder Commits to Alternative Fuel Vehicles

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Boulder Commits to Alternative Fuel Vehicles to someone by E-mail Share Alternative Fuels Data Center: Boulder Commits to Alternative Fuel Vehicles on Facebook Tweet about Alternative Fuels Data Center: Boulder Commits to Alternative Fuel Vehicles on Twitter Bookmark Alternative Fuels Data Center: Boulder Commits to Alternative Fuel Vehicles on Google Bookmark Alternative Fuels Data Center: Boulder Commits to Alternative Fuel Vehicles on Delicious Rank Alternative Fuels Data Center: Boulder

  8. 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

  9. Boulder Hot Springs Pool & Spa Low Temperature Geothermal Facility...

    Open Energy Info (EERE)

    Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Boulder Hot Springs Pool & Spa Low Temperature Geothermal Facility Facility Boulder Hot Springs...

  10. Boulder Hot Springs Space Heating Low Temperature Geothermal...

    Open Energy Info (EERE)

    Space Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Boulder Hot Springs Space Heating Low Temperature Geothermal Facility Facility Boulder Hot...

  11. Clear Skies S. A. Clough Atmospheric and Environmental Research, Inc.

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

    S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, MA 02139 The objective of this research effort is to develop radiative transfer models that are consistent with Atmospheric Radiation Measurement (ARM) Program spectral radiance measurements for clear and cloudy atmospheres. Our approach is to develop the model physics and related databases with a line-by-line model in the context of available spectral radiance measurements. The line-by- line mode! then functions as an

  12. Category:Boulder, CO | Open Energy Information

    Open Energy Info (EERE)

    16 files are in this category, out of 16 total. SVFullServiceRestaurant Boulder CO Public Service Co of Colorado.png SVFullServiceRestauran... 61 KB SVQuickServiceRestaurant...

  13. Lodging in Boulder and Louisville, Colorado | NREL

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

    it is approximately 25 miles north of Golden. Hotels Renaissance Boulder Flatiron Hotel 500 Flatiron Blvd. Broomfield, CO 80021 Phone: 720-587-3014 Comfort Inn 1196 W. Dillon...

  14. City of Boulder- Climate Action Plan Fund

    Broader source: Energy.gov [DOE]

    Note: As of 2015, the Climate Action Plan is now referred to as the Climate Commitment. In November 2015, Boulder voters approved an extension of the  Climate Action Plan tax through 2020, with...

  15. City of Boulder- Green Points Building Program

    Broader source: Energy.gov [DOE]

    The Boulder Green Points Building Program is a mandatory residential green building program that requires a builder or homeowner to include a minimum amount of sustainable building components bas...

  16. 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

  17. BOULDER COUNTY CUSTOMERS GET ENERGYSMART AND SAVE | Department of Energy

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

    BOULDER COUNTY CUSTOMERS GET ENERGYSMART AND SAVE BOULDER COUNTY CUSTOMERS GET ENERGYSMART AND SAVE BOULDER COUNTY CUSTOMERS GET ENERGYSMART AND SAVE Of the $25 million grant that Boulder County, Colorado, received through the U.S. Department of Energy (DOE), funding was allocated to three different entities: Boulder County, Garfield County, and the City and County of Denver. This funding helped to develop EnergySmart, an energy efficiency program that focuses on reducing barriers to energy

  18. JGR-Atmospheres Papers from the RADAGAST Research Team

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

    JGR-Atmospheres Papers from the RADAGAST Research Team Bharmal, N.A., A. Slingo, G.J. Robinson, and J.J. Settle, 2009: Simulation of surface and top of atmosphere thermal fluxes and radiances from the RADAGAST experiment. Journal of Geophysical Research-Atmospheres, 114, doi:10.1029/2008JD010504, in press. Kollias, P., M.A. Miller, K.L. Johnson, M.P. Jensen, and D.T. Troyan, 2009: Cloud, thermodynamic, and precipitation observations in West Africa during 2006. Journal of Geophysical Research-

  19. 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

  20. Atmospheric gas supersaturation: educational and research needs

    SciTech Connect (OSTI)

    Bouck, G.R.; D'Aoust, B.; Ebel, W.J.; Rulifson, R.

    1980-11-01

    There still is need for research on gas supersaturation as it relates to gas bubble disease. Better methods are required for both measurement and treatment of gas-supersaturated water. We must understand more about physiological and ecosystem responses to high gas pressures if existing tolerance data for individual species are to be applied accurately to field or fish-cultural situations. A better training program is needed for scientists, engineers, and facility operators involved in the monitoring and mitigation of gas-supersaturated waters.

  1. 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.

  2. EIS-0490: Boulder City/U.S. 93 Corridor Transportation Improvements, Boulder City, Nevada

    Broader source: Energy.gov [DOE]

    The Federal Highway Administration and the Nevada Department of Transportation prepared an EIS to evaluate the potential environmental impacts of the proposed Boulder City/U.S. 93 Bypass Project in...

  3. Boulder County, Colorado: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Colorado Boulder, Colorado Eldora, Colorado Eldorado Springs, Colorado Erie, Colorado Gold Hill, Colorado Gunbarrel, Colorado Jamestown, Colorado Lafayette, Colorado Longmont,...

  4. DOE Zero Energy Ready Home Case Study: Boulder ZED Design Build...

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

    Boulder ZED Design Build - Boulder, Colorado DOE Zero Energy Ready Home Case Study: Boulder ZED Design Build - Boulder, Colorado Case study of a DOE Zero Energy Ready Home in ...

  5. 2010 Atmospheric System Research (ASR) Science Team Meeting Summary

    SciTech Connect (OSTI)

    Dupont, DL

    2011-05-04

    This document contains the summaries of papers presented in poster format at the March 2010 Atmospheric System Research Science Team Meeting held in Bethesda, Maryland. More than 260 posters were presented during the Science Team Meeting. Posters were sorted into the following subject areas: aerosol-cloud-radiation interactions, aerosol properties, atmospheric state and surface, cloud properties, field campaigns, infrastructure and outreach, instruments, modeling, and radiation. To put these posters in context, the status of ASR at the time of the meeting is provided here.

  6. Atmospheric Sciences Program summaries of research in FY 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-01

    This document describes the activities and products of the Atmospheric Science Program of the Environmental Sciences Division, Office of Health and Environmental Research, Office of Energy Research, in FY 1993. Each description contains the project`s title; three-year funding history; the contract period over which the funding applies; the name(s) of the principal investigator(s); the institution(s) conducting the projects; and the project`s objectives, products, approach, and results to date. Project descriptions are categorized within the report according to program areas: atmospheric chemistry, atmospheric dynamics, and support operations. Within these categories, the descriptions are ordered alphabetically by principal investigator. Each program area is preceded by a brief text that defines the program area, states its goals and objectives, lists principal research questions, and identifies program managers. Appendixes provide the addresses and telephone numbers of the principal investigators and define the acronyms used. This document has been indexed to aid the reader in locating research topics, participants, and research institutions in the text and the project descriptions. Comprehensive subject, principal investigator, and institution indexes are provided at the end of the text for this purpose. The comprehensive subject index includes keywords from the introduction and chapter texts in addition to those from the project descriptions.

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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.

  15. DOE Zero Energy Ready Home Case Study: Boulder ZED Design Build - Boulder, Colorado

    SciTech Connect (OSTI)

    none,

    2014-11-01

    This case study describes a DOE Zero Energy Ready Home in Boulder, Colorado, that scored HERS 38 without PV and 0 with PV. This 2,504 ft2 custom home has advanced framed walls, superior insulation a ground-source heat pump, ERV, and triple-pane windows.

  16. Boulder County Summary of Reported Data | Department of Energy

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

    Summary of Reported Data Boulder County Summary of Reported Data Summary of Reported Data for Boulder County, a partner in the U.S. Department of Energy's Better Buildings Neighborhood Program. PDF icon Boulder County Summary of Reported Data More Documents & Publications Better Buildings Neighborhood Program Summary of Reported Data From July 1, 2010 - September 30, 2013 Eagle County, Colorado Summary of Reported Data Virginia -- SEP Summary of Reported Data

  17. Boulder City, Nevada: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Boulder City, Nevada Copper Mountain Expansion I and II Solar Power Plant El Dorado Solar Project Solar Power Plant Nevada Solar One Solar Power Plant References US...

  18. Atmospheric Science Program. Summaries of research in FY 1994

    SciTech Connect (OSTI)

    1995-06-01

    This report provides descriptions for all projects funded by ESD under annual contracts in FY 1994. Each description contains the project`s title; three-year funding history (in thousands of dollars); the contract period over which the funding applies; the name(s) of the principal investigator(s); the institution(s) conducting the projects; and the project`s objectives, products, approach, and results to date (for most projects older than one year). Project descriptions are categorized within the report according to program areas: atmospheric chemistry, atmospheric dynamics, and support operations. Within these categories, the descriptions are ordered alphabetically by principal investigator. Each program area is preceded by a brief text that defines the program area, states it goals and objectives, lists principal research questions, and identifies program managers. Appendixes provide the addresses and telephone numbers of the principal investigators and define the acronyms used.

  19. 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

  20. Atmospheric Research - Manaus Plume: GoAmazon T3 Ground Site...

    Office of Scientific and Technical Information (OSTI)

    Conference: Atmospheric Research - Manaus Plume: GoAmazon T3 Ground Site Citation Details In-Document Search Title: Atmospheric Research - Manaus Plume: GoAmazon T3 Ground Site ...

  1. Research Highlight

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

    a printable PDF Submitter: de Boer, G., University of Colorado, BoulderCIRES Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: de...

  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. Building a barrier wall through boulders

    SciTech Connect (OSTI)

    McMahon, D.R.; Mann, M.J. ); Tulett, R.C. )

    1994-10-01

    When the Occidental Chemical Co., Niagara Falls, N.Y., set out to remediate and contain wastes and ground water at its upstate New York site, they found that part of the proposed cutoff wall would be located in land reclaimed from the Niagara River. The fill was rock blasted out for a tunnel years ago, and the presence of boulders rule out conventional barrier-wall construction techniques. Occidental's first approach to containment had been a conventional soil-bentonite wall. Because of the area's geography and the location of the wastes, a portion of the wall had to be aligned along the riverbank. The company wanted to separate the plant area from the river, and decided to extend the barrier to the concrete headwall for intakes at the nearby Robert Moses Niagara Power Plant. This meant about 2,000 ft of the barrier wall would run through shot-rock fill placed during construction of the powerplant in the 1960s. Conduits for that plant were constructed by blasting rock to form open-cut tunnels several miles long. Some of the resulting shot rock was placed along the riverbank, extending the shoreline about 200 ft into the river near the now-contaminated site. The Rober Moses Parkway, a four-land highway, was constructed on the reclaimed land about 100 ft from the new shoreline.

  4. Boulder County- EnergySmart Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    EnergySmart for Boulder County helps residents identify, finance, and schedule energy improvements in their homes. This “One Stop Shop” aims to reduce the hassles and hurdles associated with...

  5. City of Boulder- Solar Sales and Use Tax Rebate

    Broader source: Energy.gov [DOE]

    Out of the sales and use taxes paid to the City of Boulder for solar projects, approximately 55% of revenues go to restricted funds. Within one year of the city’s final inspection, solar project ...

  6. Boulder County, Colorado, Summary of Reported Data From July...

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

    ... Boulder County hired Energy Logic to conduct the hands-on training, including one day in the field and one day in the classroom. Commercial contractor trainings were also offered ...

  7. 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),

  8. Strategic Environmental Research and Development Program: Atmospheric Remote Sensing and Assessment Program -- Final Report. Part 1: The lower atmosphere

    SciTech Connect (OSTI)

    Tooman, T.P.

    1997-01-01

    This report documents work done between FY91 and FY95 for the lower atmospheric portion of the joint Department of Defense (DoD) and Department of Energy (DOE) Atmospheric Remote Sensing and Assessment Program (ARSAP) within the Strategic Environmental Research and Development Program (SERDP). The work focused on (1) developing new measurement capabilities and (2) measuring atmospheric heating in a well-defined layer and then relating it to cloud properties an water vapor content. Seven new instruments were develop3ed for use with Unmanned Aerospace Vehicles (UAVs) as the host platform for flux, radiance, cloud, and water vapor measurements. Four major field campaigns were undertaken to use these new as well as existing instruments to make critically needed atmospheric measurements. Scientific results include the profiling of clear sky fluxes from near surface to 14 km and the strong indication of cloudy atmosphere absorption of solar radiation considerably greater than predicted by extant models.

  9. Collaborative Research. Atmospheric Pressure Microplasma Chemistry-Photon Synergies

    SciTech Connect (OSTI)

    Park, Sung-Jin; Eden, James Gary

    2015-12-01

    Combining the effects of low temperature, atmospheric pressure microplasmas and microplasma photon sources offers the promise of greatly expanding the range of applications for each of them. The plasma sources create active chemical species and these can be activated further by the addition of photons and the associated photochemistry. There are many ways to combine the effects of plasma chemistry and photochemistry, especially if there are multiple phases present. This project combined the construction of appropriate test experimental systems, various spectroscopic diagnostics and mathematical modeling. Through a continuous discussion and co-design process with the UC-Berkeley Team, we have successfully completed the fabrication and testing of all components for a microplasma array-assisted system designed for photon-activated plasma chemistry research. Microcavity plasma lamps capable of generating more than 20 mW/cm2 at 172 nm (Xe dimer) were fabricated with a custom form factor to mate to the plasma chemistry setup, and a lamp was current being installed by the Berkeley team so as to investigate plasma chemistry-photon synergies at a higher photon energy (~7.2 eV) as compared to the UVA treatment that is afforded by UV LEDs operating at 365 nm. In particular, motivated by the promising results from the Berkeley team with UVA treatment, we also produced the first generation of lamps that can generate photons in the 300-370 nm wavelength range. Another set of experiments, conducted under the auspices of this grant, involved the use of plasma microjet arrays. The combination of the photons and excited radicals produced by the plasma column resulted in broad area deactivation of bacteria.

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

    Office of Science (SC) Website

    Long-term ARM datasets critical for cloud and solar energy studies. Print Text Size: A A A ... Facility has collected atmospheric data for more than a decade in the equatorial ...

  11. 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.

  12. Technical Sessions Principal Investigator: S. A. Clough Atmospheric and Environmental Research, Inc.

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

    Principal Investigator: S. A. Clough Atmospheric and Environmental Research, Inc. Cambridge, MA 02139 Introduction The availability of a rapid highly accurate multiple scattering radiative transfer model is essential to meet the objectives of the Atmospheric Radiation Measurement (ARM) Program. The model must be capable of computing radiance at spectral intervals consistent with the monochromatic spectral variation of the atmospheric molecular absorption. The resolution of the spectrometers to

  13. University of Colorado-Boulder Researches Solar-Thermochemical...

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

    Addthis Related Articles Five student-led start-up companies that won regional competitions across the United States will travel to Washington, D.C., on June 24 to compete for a ...

  14. EERE Success Story-University of Colorado-Boulder Researches...

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

    for a hydrogen production technology that uses solar energy to produce hydrogen from water. ... institutional barriers to the widespread commercialization of hydrogen and fuel cells. ...

  15. NREL National Wind Technology Center (NWTC): M2 Tower; Boulder, Colorado (Data)

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

    Jager, D.; Andreas, A.

    The National Wind Technology Center (NWTC), located at the foot of the Rocky Mountains near Boulder, Colorado, is a world-class research facility managed by NREL for the U.S. Department of Energy. NWTC researchers work with members of the wind energy industry to advance wind power technologies that lower the cost of wind energy through research and development of state-of-the-art wind turbine designs. NREL's Measurement and Instrument Data Center provides data from NWTC's M2 tower which are derived from instruments mounted on or near an 82 meter (270 foot) meteorological tower located at the western edge of the NWTC site and about 11 km (7 miles) west of Broomfield, and approximately 8 km (5 miles) south of Boulder, Colorado. The data represent the mean value of readings taken every two seconds and averaged over one minute. The wind speed and direction are measured at six heights on the tower and air temperature is measured at three heights. The dew point temperature, relative humidity, barometric pressure, totalized liquid precipitation, and global solar radiation are also available.

  16. NREL National Wind Technology Center (NWTC): M2 Tower; Boulder, Colorado (Data)

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

    Jager, D.; Andreas, A.

    1996-09-24

    The National Wind Technology Center (NWTC), located at the foot of the Rocky Mountains near Boulder, Colorado, is a world-class research facility managed by NREL for the U.S. Department of Energy. NWTC researchers work with members of the wind energy industry to advance wind power technologies that lower the cost of wind energy through research and development of state-of-the-art wind turbine designs. NREL's Measurement and Instrument Data Center provides data from NWTC's M2 tower which are derived from instruments mounted on or near an 82 meter (270 foot) meteorological tower located at the western edge of the NWTC site and about 11 km (7 miles) west of Broomfield, and approximately 8 km (5 miles) south of Boulder, Colorado. The data represent the mean value of readings taken every two seconds and averaged over one minute. The wind speed and direction are measured at six heights on the tower and air temperature is measured at three heights. The dew point temperature, relative humidity, barometric pressure, totalized liquid precipitation, and global solar radiation are also available.

  17. 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.

  18. Boulder Valley School District (Colorado) Power Purchase Agreement Case Study

    Broader source: Energy.gov [DOE]

    Boulder Valley School District completed a power purchase agreement to install 1.4 MW of solar PV that are expected to reduce electricity bills in 14 schools by about 10% over the 20 year life of the agreement. Case study is excerpted from Financing Energy Upgrades for K-12 School Districts: A Guide to Tapping into Funding for Energy Efficiency and Renewable Energy Improvements. Author: Merrian Borgeson and Mark Zimring

  19. 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.

  20. Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado

    SciTech Connect (OSTI)

    Arena, L.; Williamson, J.

    2013-11-01

    To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In NREL's report titled 'Assessing and Improving the Accuracy of Energy Analysis of Residential Buildings,' researchers propose a method for improving the accuracy of residential energy analysis methods. A key step in this process involves the comparisons of predicted versus metered energy use and savings. In support of this research need, CARB evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. In this study, CARB seeks to improve the accuracy of modeling software while assessing retrofit measures to specifically determine which are most effective for large multifamily complexes in the cold climate region. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

  1. Final Technical Report - Modernization of the Boulder Canyon Hydroelectric Project

    SciTech Connect (OSTI)

    Joe Taddeucci, P E

    2013-03-29

    The Boulder Canyon Hydroelectric Project (BCH) was purchased by the City of Boulder, CO (the city) in 2001. Project facilities were originally constructed in 1910 and upgraded in the 1930s and 1940s. By 2009, the two 10 MW turbine/generators had reached or were nearing the end of their useful lives. One generator had grounded out and was beyond repair, reducing plant capacity to 10 MW. The remaining 10 MW unit was expected to fail at any time. When the BCH power plant was originally constructed, a sizeable water supply was available for the sole purpose of hydroelectric power generation. Between 1950 and 2001, that water supply had gradually been converted to municipal water supply by the city. By 2001, the water available for hydroelectric power generation at BCH could not support even one 10 MW unit. Boulder lacked the financial resources to modernize the facilities, and Boulder anticipated that when the single, operational historical unit failed, the project would cease operation. In 2009, the City of Boulder applied for and received a U.S. Department of Energy (DOE) grant for $1.18 million toward a total estimated project cost of $5.155 million to modernize BCH. The federal funding allowed Boulder to move forward with plant modifications that would ensure BCH would continue operation. Federal funding was made available through the American Recovery and Reinvestment Act (ARRA) of 2009. Boulder determined that a single 5 MW turbine/generator would be the most appropriate capacity, given the reduced water supply to the plant. Average annual BCH generation with the old 10 MW unit had been about 8,500 MW-hr, whereas annual generation with a new, efficient turbine could average 11,000 to 12,000 MW-hr. The incremental change in annual generation represents a 30% increase in generation over pre-project conditions. The old turbine/generator was a single nozzle Pelton turbine with a 5-to-1 flow turndown and a maximum turbine/generator efficiency of 82%. The new unit is a double nozzle Pelton turbine with a 10-to-1 flow turndown and a maximum turbine/generator efficiency of 88%. This alone represents a 6% increase in overall efficiency. The old turbine operated at low efficiencies due to age and non-optimal sizing of the turbine for the water flow available to the unit. It was shut down whenever water flow dropped to less than 4-5 cfs, and at that flow, efficiency was 55 to 60%. The new turbine will operate in the range of 70 to 88% efficiency through a large portion of the existing flow range and would only have to be shut down at flow rates less than 3.7 cfs. Efficiency is expected to increase by 15-30%, depending on flow. In addition to the installation of new equipment, other goals for the project included: • Increasing safety at Boulder Canyon Hydro • Increasing protection of the Boulder Creek environment • Modernizing and integrating control equipment into Boulder’s municipal water supply system, and • Preserving significant historical engineering information prior to power plant modernization. From January 1, 2010 through December 31, 2012, combined consultant and contractor personnel hours paid for by both the city and the federal government have totaled approximately 40,000. This equates roughly to seven people working full time on the project from January 2010 through December 2012. This project also involved considerable material expense (steel pipe, a variety of valves, electrical equipment, and the various components of the turbine and generator), which were not accounted for in terms of hours spent on the project. However, the material expense related to this project did help to create or preserve manufacturing/industrial jobs throughout the United States. As required by ARRA, the various components of the hydroelectric project were manufactured or substantially transformed in the U.S. BCH is eligible for nomination to the National Register of Historic Places due in part to its unique engineering features and innovative construction techniques. Special efforts were directed toward documenting the (largely original) interior of the plant and installing new equipment without modifying the power plant exterior in order to preserve the historical significance of the facility. In addition, a significant portion of the historical equipment within the power plant was preserved in place. The modernization project began with DOE grant award on January 1, 2010, and the project was completed on December 31, 2012. In addition to city engineering and hydroelectric staff, major project participants included AECOM (design/engineering) Canyon Industries (turbine/generator manufacture), Gracon Corporation (general construction contractor), Exponential Engineering Company (electrical engineering) and URS Corporation (historical documentation), as well as numerous other subcontractors and consultants.

  2. Atmospheric Research - Manaus Plume: GoAmazon T3 Ground Site (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Atmospheric Research - Manaus Plume: GoAmazon T3 Ground Site Citation Details In-Document Search Title: Atmospheric Research - Manaus Plume: GoAmazon T3 Ground Site Authors: Aiken, Allison C. [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2014-11-14 OSTI Identifier: 1164024 Report Number(s): LA-UR-14-28862 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Green Ocean Amazon Joint Principal

  3. Pacific Northwest Laboratory annual report for 1985 to the DOE Office of Energy Research. Part 3. Atmospheric sciences

    SciTech Connect (OSTI)

    Elderkin, C.E.

    1986-02-01

    The goals of atmospheric research at Pacific Northwest Laboratory (PNL) are to describe and predict the nature and fate of atmospheric contaminants and to develop an understanding of the atmospheric processes contributing to their distribution on local, regional, and continental scales. In 1985, this research has examined the transport and diffusion of atmospheric contaminants in areas of complex terrain, summarized the field studies and analyses of dry deposition and resuspension conducted in past years, and begun participation in a large, multilaboratory program to assess the precipitation scavenging processes important to the transformation and wet deposition of chemicals composing ''acid rain.'' The description of atmospheric research at PNL is organized in terms of the following study areas: Atmospheric Studies in Complex Terrain; Dispersion, Deposition, and Resuspension of Atmospheric Contaminants; and Processing of Emissions by Clouds and Precipitation (PRECP).

  4. 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.

  5. 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.

  6. Technical Sessions J.-F. Louis Atmospheric and Environment Research, Inc.

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

    -F. Louis Atmospheric and Environment Research, Inc. Cambridge, MA 02139 curve fitting and statistical interpolation.lrl fitting techniques, the fields are represented locally by analytical spline functions whose coefficients are determined by a least square method. Somewhat simpler malthematically, and more often used, statistical interpolation defines the value of the field at each grid point as the weighted average of nearby data. The Cressman and the Barnes techniques are two examples of

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Four-Dimensional Data Assimilation J.-F. Louis Atmospheric and Environmental Research, Inc.

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

    J.-F. Louis Atmospheric and Environmental Research, Inc. Cambridge, MA 02139 The main purpose of the ARM program is to provide the necessary data to develop, test and validate the parameterization of clouds and of their interactions with the radiation field, and the computation of radiative transfer in climate models. For the most part, however, the ARM observations will be imperfect, incomplete, redundant, indirect, and unrepresentative. This is unavoidable, despite the best efforts at

  1. 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

  2. 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

  3. Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology

    SciTech Connect (OSTI)

    Dunagan, Stephen; Johnson, Roy; Zavaleta, Jhony; Russell, P. B.; Schmid, Beat; Flynn, Connor J.; Redemann, Jens; Shinozuka, Yohei; Livingston, J.; Segal Rozenhaimer, Michal

    2013-08-06

    The Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) combines airborne sun tracking and sky scanning with diffraction spectroscopy, to improve knowledge of atmospheric constituents and their links to air-pollution/climate. Direct beam hyper-spectral measurement of optical depth improves retrievals of gas constituents and determination of aerosol properties. Sky scanning enhances retrievals of aerosol type and size distribution. 4STAR measurements will tighten the closure between satellite and ground-based measurements. 4STAR incorporates a modular sun-tracking/ sky-scanning optical head with fiber optic signal transmission to rack mounted spectrometers, permitting miniaturization of the external optical head, and future detector evolution. Technical challenges include compact optical collector design, radiometric dynamic range and stability, and broad spectral coverage. Test results establishing the performance of the instrument against the full range of operational requirements are presented, along with calibration, engineering flight test, and scientific field campaign data and results.

  4. Pacific Northwest Laboratory: Annual report for 1986 to the DOE Office of Energy Research: Part 3, Atmospheric sciences

    SciTech Connect (OSTI)

    Elderkin, C.E.

    1987-06-01

    The goals of atmospheric research at Pacific Northwest Laboratory (PNL) are to describe and predict the nature and fate of atmospheric contaminants and to develop an understanding of the atmospheric processes contributing to their distribution on local, regional, and continental scales. In 1986, atmospheric research examined the transport and diffusion of atmospheric contaminants in areas of complex terrain and participated in a large, multilaboratory program to assess the precipitation scavenging processes important to the transformation and wet deposition of chemicals composing ''acid rain.'' In addition, during 1986, a special opportunity for measuring the transport and removal of radioactivity occurred after the Chernobyl reactor accident in April 1986. Separate abstracts were prepared for individual projects.

  5. ClimateSmart Loan Program: Proposal to Boulder County Board of Commissioners

    Broader source: Energy.gov [DOE]

    Boulder County's proposal to its Board of Commissioners contains information about the background of the ClimateSmart Loan Program, outlines key elements of the program, and requests direction from the board on specific program design features.

  6. Evaluation of a Multifamily Retrofit in Climate Zone 5, Boulder, Colorado (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-11-01

    In 2009, a 37-unit apartment complex located in Boulder, Colorado, underwent an energy retrofit to comply with Boulder SmartRegs Ordinance, a mandate that requires all rental properties to meet certain energy efficiency standards by 2018. The Consortium of Advanced Residential Buildings (CARB), a U.S. Department of Energy Building America team, worked with city planners and building owners to evaluate this program and recently completed a case study evaluating the effectiveness of a collection of retrofit measures.

  7. NREL: Wind Research - Utility-Scale Wind Turbine Research

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

    Utility-Scale Wind Turbine Research NWTC Researchers in the nacelle of a Siemen's 2.3-MW, 80 meter wind turbine at NREL's National Wind Technology Center in Boulder County, ...

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. W.-C. Wang X.-Z. Liang M. D. Dudek S. Cox Atmospheric Sciences Research Center

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

    Wang X.-Z. Liang M. D. Dudek S. Cox Atmospheric Sciences Research Center State University of New York 100 Fuller Road Albany, NY 12205 We participate in the Atmospheric Radiation Measurement (ARM) program with two objectives: 1) to improve the general circulation model (GCM) cloud/radiation treatment with focus on cloud overlapping and the cloud optical properties and 2) to study the effects of cloud/radiation-climate interaction on climate simulations. The project includes three tasks: 1) GCM

  2. 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.

  3. 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.

  4. 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.

  5. COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    Gutowski, William J.; Prusa, Joseph M.; Smolarkiewicz, Piotr K.

    2012-05-08

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAG's advanced dynamics core with the "physics" of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer-reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited. 3a. EULAG Advances EULAG is a non-hydrostatic, parallel computational model for all-scale geophysical flows. EULAG's name derives from its two computational options: EULerian (flux form) or semi-LAGrangian (advective form). The model combines nonoscillatory forward-in-time (NFT) numerical algorithms with a robust elliptic Krylov solver. A signature feature of EULAG is that it is formulated in generalized time-dependent curvilinear coordinates. In particular, this enables grid adaptivity. In total, these features give EULAG novel advantages over many existing dynamical cores. For EULAG itself, numerical advances included refining boundary conditions and filters for optimizing model performance in polar regions. We also added flexibility to the model's underlying formulation, allowing it to work with the pseudo-compressible equation set of Durran in addition to EULAG's standard anelastic formulation. Work in collaboration with others also extended the demonstrated range of validity of soundproof models, showing that they are more broadly applicable than some had previously thought. Substantial testing of EULAG included application and extension of the Jablonowski-Williamson baroclinic wave test - an archetype of planetary weather - and further analysis of multi-scale interactions arising from collapse of temperature fronts in both the baroclinic wave test and simulations of the Held-Suarez idealized climate. These analyses revealed properties of atmospheric gravity waves not seen in previous work and further demonstrated the ability of EULAG to simulate realistic behavior over several orders of magnitude of length scales. Additional collaborative work enhanced capability for modeling atmospheric flows with adaptive moving meshes and demonstrated the ability of EULAG to move into petascale computing. 3b. CAM-EULAG Advances We have developed CAM-EULAG in collaboration with former project postdoc, now University of Cape Town Assistant Professor, Babatunde Abiodun. Initial study documented good model performance in aqua-planet simulations. In particular, we showed that the grid adaptivity (stretching) implemented in CAM-EULAG allows higher resolution in selected regions without causing anomalous behavior such as spurious wave reflection. We then used the stretched-grid version to analyze simulated extreme precipitation events in West Africa, comparing the precipitation and event environment with observed behavior. The model simulates fairly well the spatial scale and the interannual and intraseasonal variability of the extreme events, although its extreme precipitation intensity is weaker than observed. In addition, both observations and the simulations show possible forcing of extreme events by African easterly waves. 3c. Other Contributions Through our collaborations, we have made contributions to a wide range of outcomes. For research focused on terrestrial behavior, these have included (1) upwind schemes for gas dynamics, (2) a nonlinear perspective on the dynamics of the Madden-Julian Oscillation, (3) numerical realism of thermal co

  6. Pacific Northwest Laboratory annual report for 1987 to the DOE Office of Energy Research: Part 3, Atmospheric sciences

    SciTech Connect (OSTI)

    Elderkin, C.E.

    1988-08-01

    Currently, the broad goals of atmospheric research at Pacific Northwest Laboratory (PNL) are to describe and predict the nature and fate of atmospheric contaminants and to develop an understanding of the atmospheric processes contributing to their distribution on local, regional, and continental scales in the air, in clouds, and on the surface. For several years, studies of transport and diffusion have been extended to mesoscale areas of complex terrain. Atmospheric cleansing research has expanded to a regional scale, multilaboratory investigation of precipitation scavenging processes involving the transformation and wet deposition of chemicals composing ''acid rain.'' In addition, the redistribution and long-range transport of transformed contaminants passing through clouds is recognized as a necessary extension of our research to even larger scales in the future. A few long-range tracer experiments conducted in recent years and the special opportunity for measuring the transport and removal of radioactivity following the Chernobyl reactor accident of April 1986 offer important initial data bases for studying atmospheric processes at these super-regional scales.

  7. Evaluation of Boulder, CO, SmartRegs Ordinance and Better Buildings Program

    SciTech Connect (OSTI)

    Arena, L.; Vijayakumar, G.

    2012-04-01

    Under the SmartRegs ordinance in the city of Boulder, Colorado, all rental properties in the city must achieve an energy efficiency level comparable to a HERS Index of approximately 120 points or lower by the year 2019. The City of Boulder received a $12 million grant from the DOE's Better Buildings initiative to create and incentivize their EnergySmart Program. In this report, the Consortium for Advanced Residential Buildings (CARB) describes its work with the program, including energy audits of rental properties, developing training programs for insulators and inspectors, and conducting interviews with property owners.

  8. Evaluation of Boulder, CO,SmartRegs Ordinance and Better Buildings Program

    SciTech Connect (OSTI)

    Arena, L.; Vijayakumar, G.

    2012-04-01

    Under the SmartRegs ordinance in the city of Boulder, Colorado, all rental properties in the city must achieve an energy efficiency level comparable to a HERS Index of approximately 120 points or lower by the year 2019. The City of Boulder received a $12 million grant from the DOEs Better Buildings initiative to create and incentivize their EnergySmart Program. In this report, the Consortium for Advanced Residential Buildings (CARB) describes its work with the program, including energy audits of rental properties, developing training programs for insulators and inspectors, and conducting interviews with property owners.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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

  14. 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.

  15. 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.

  16. Scanning Transmission X-ray Microscopy: Applications in Atmospheric Aerosol Research

    SciTech Connect (OSTI)

    Moffet, Ryan C.; Tivanski, Alexei V.; Gilles, Mary K.

    2011-01-20

    Scanning transmission x-ray microscopy (STXM) combines x-ray microscopy and near edge x-ray absorption fine structure spectroscopy (NEXAFS). This combination provides spatially resolved bonding and oxidation state information. While there are reviews relevant to STXM/NEXAFS applications in other environmental fields (and magnetic materials) this chapter focuses on atmospheric aerosols. It provides an introduction to this technique in a manner approachable to non-experts. It begins with relevant background information on synchrotron radiation sources and a description of NEXAFS spectroscopy. The bulk of the chapter provides a survey of STXM/NEXAFS aerosol studies and is organized according to the type of aerosol investigated. The purpose is to illustrate the current range and recent growth of scientific investigations employing STXM-NEXAFS to probe atmospheric aerosol morphology, surface coatings, mixing states, and atmospheric processing.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. Jacob P. Fugal, Scott Spuler Earth Observing Laboratory NCAR, Boulder, CO USA

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

    airborne digital holographic instrument for measuring the spatial distribution and local size distributions of cloud particles: Holographic Detector for Clouds 2 (HOLODEC 2) Jacob P. Fugal, Scott Spuler Earth Observing Laboratory NCAR, Boulder, CO USA & Raymond A. Shaw Physics Department, michigan Tech Houghton, MI USA C-130 Hercules Q HIAPER Gulfstream GV HOLODEC (Holographic Detector for Clouds) is an airborne instrument that measures the size, shape, and relative 3D position of cloud

  5. Pete Henderson & Robert Pincus. CIRES/NOAA, University of Colorado, Boulder

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

    Program Technical Report (Technical Report) | SciTech Connect Petascale, Adaptive CFD (ALCF ESP Technical Report): ALCF-2 Early Science Program Technical Report Citation Details In-Document Search Title: Petascale, Adaptive CFD (ALCF ESP Technical Report): ALCF-2 Early Science Program Technical Report Authors: Jansen, K.E. ; Rasquin, M. [1] ; University of Colorado Boulder) [2] + Show Author Affiliations (LCF) ( Publication Date: 2013-05-13 OSTI Identifier: 1079768 Report Number(s):

  6. Boulder damage symposium annual thin film laser damage competition

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

    Stolz, Christopher J.

    2012-11-28

    Optical instruments and laser systems are often fluence-limited by multilayer thin films deposited on the optical surfaces. When comparing publications within the laser damage literature, there can be confusing and conflicting laser damage results. This is due to differences in testing protocols between research groups studying very different applications. In this series of competitions, samples from multiple vendors are compared under identical testing parameters and a single testing service. Unlike a typical study where a hypothesis is tested within a well-controlled experiment with isolated variables, this competition isolates the laser damage testing variables so that trends can be observed betweenmore » different deposition processes, coating materials, cleaning techniques, and multiple coating suppliers. The resulting series of damage competitions has also been designed to observe general trends of damage morphologies and mechanisms over a wide range of coating types (high reflector and antireflector), wavelengths (193 to 1064 nm), and pulse lengths (180 fs to 13 ns). A double blind test assured sample and submitter anonymity were used in each of the competitions so only a summary of the deposition process, coating materials, layer count and spectral results are presented. Laser resistance was strongly affected by substrate cleaning, coating deposition method, and coating material selection whereas layer count and spectral properties had minimal impact.« less

  7. Rising atmospheric CO{sub 2} and crops: Research methodology and direct effects

    SciTech Connect (OSTI)

    Rogers, H.; Acock, B.

    1993-12-31

    Carbon dioxide is the food of trees and grass. Our relentless pursuit of a better life has taken us down a traffic jammed road, past smoking factories and forests. This pursuit is forcing a rise in the atmospheric CO{sub 2} level, and no one know when and if flood stage will be reached. Some thinkers have suggested that this increase of CO{sub 2} in the atmosphere will cause warming. No matter whether this prediction is realized or not, more CO{sub 2} will directly affect plants. Data from controlled observations have usually, but not always, shown benefits. Our choices of scientific equipment for gathering CO{sub 2} response data are critical since we must see what is happening through the eye of the instrument. The signals derived from our sensors will ultimately determine the truth of our conclusions, conclusion which will profoundly influence our policy decisions. Experimental gear is selected on the basis of scale of interest and problem to be addressed. Our imaginations and our budgets interact to set bounds on our objectives and approaches. Techniques run the gamut from cellular microprobes through whole-plant controlled environment chambers to field-scale exposure systems. Trade-offs exist among the various CO{sub 2} exposure techniques, and many factors impinge on the choice of a method. All exposure chambers are derivatives of three primary types--batch, plug flow, and continuous stirred tank reactor. Systems for the generation of controlled test atmospheres of CO{sub 2} vary in two basic ways--size and degree of control. Among the newest is free-air CO{sub 2} enrichment which allows tens of square meters of cropland to be studied.

  8. 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.

  9. Existing Whole-House Solutions Case Study: Evaluation of a Multifamily Retrofit in Climate Zone 5, Boulder, Colorado

    SciTech Connect (OSTI)

    2013-11-01

    In 2009, a 37-unit apartment complex located in Boulder, Colorado, underwent an energy retrofit to comply with Boulder SmartRegs Ordinance, a mandate that requires all rental properties to meet certain energy efficiency standards by 2018. The Consortium of Advanced Residential Buildings (CARB), a U.S. Department of Energy Building America team, worked with city planners and building owners to evaluate this program and recently completed a case study evaluating the effectiveness of a collection of retrofit measures.

  10. COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    Prusa, Joseph

    2012-05-08

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAGâ??s advanced dynamics core with the â??physicsâ? of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer- reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited.

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

    SciTech Connect (OSTI)

    Sisterson, DL

    2010-10-15

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

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

    SciTech Connect (OSTI)

    Sisterson, DL

    2010-07-09

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

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

    SciTech Connect (OSTI)

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

    1994-09-01

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

  14. 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,

  15. Research Highlight

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

    Ground-Based Measurements in Support of Liquid-Dependent Ice Nucleation in Arctic Clouds Download a printable PDF Submitter: de Boer, G., University of Colorado, Boulder/CIRES Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: de Boer G, H Morrison, MD Shupe, and R Hildner. 2011. "Evidence of liquid dependent ice nucleation in high-latitude stratiform clouds from surface remote

  16. 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.

  17. 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.

  18. Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado

    SciTech Connect (OSTI)

    Arena, L.; Williamson, J.

    2013-11-01

    To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In this project, the Building America CARB team evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

  19. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

  20. Evaluation of Routine Atmospheric Sounding Measurements using...

    Office of Scientific and Technical Information (OSTI)

    University of Colorado, BoulderCIRES University of Colorado NASA - Goddard Space Flight Center - Wallops Flight Facility University of Colorado, Boulder NCAR Publication Date: ...

  1. Final Report "Nucleation and Growth of Atmospheric Aerosols" DOE Grant No. DE-FG02-98ER62556

    SciTech Connect (OSTI)

    McMurry, Peter H.; Eisele, Fred L.

    2005-06-02

    Research that was supported by this contract has contributed substantially to progress in our understanding of new particle formation in the atmosphere. Objectives included the development of new measurement methods, the application of those new instrument systems in atmospheric field studies, and the interpretation of results from those studies. We developed the "Nano TDMA" to measure the hygroscopicity and volatility of 4-20 nm particles. We used this instrument system to characterize properties of atmospheric particles in the Atlanta atmosphere in July/August 2002 as well as to study properties of diesel exhaust particles. We also developed the thermal desorption chemical ionization mass spectrometer (TDCIMS) to measure the chemical composition of nanoparticles as small as 7 nm with a time resolution of 10-20 minutes. The TDCIMS is currently the only instrument that can perform such measurements. Atmospheric field measurements were carried out in Atlanta (July/August 2002; we refer to this as the ANARChE study) and in Boulder, CO (2003/04). In the ANARChE study we measured, for the first time, the composition of freshly nucleated particles as small as 7 nm using the TDCIMS. The ANARChE study also included the first nano-TDMA measurements of the volatility and hygroscopicity of freshly nucleated particles as small as 4 nm. Other parameters that were measured included particle size distributions (3 nm-2 µm), and sulfuric acid and ammonia concentrations. Key discoveries from the ANARChE study are: (1) freshly nucleated particles in Atlanta consist primarily of ammonium and sulfate; evidence for significant amounts of other species such as organics and nitrates was not found; (2) new particle formation occurs when rates of cluster loss to preexisting particles are small compared to rates of lost to the next larger cluster size by growth; a dimensionless parameter L describes the ratio of these rates, and measurements showed that new particle formation was always observed when L was less than one and not when L was greater than one; (3) growth rates of freshly nucleated particles could be explained by condensation of sulfuric acid and coagulation of the newly formed nucleation mode in the mornings when particles were small (<20 nm), but at midday when particles had growth to larger sizes measured growth rates were often five times greater than calculated growth rates suggesting that species in addition to sulfuric acid were contributing to growth. This contract also supported TDCIMS and aerosol physical property measurements performed at NCAR's Mesa Laboratory in Boulder, CO, intermittently since the Spring of 2002. The TDCIMS measurements were made on sub-20 nm diameter atmospheric particles, and have uncovered many intriguing questions that warrant further investigation. For example, unlike the case in Atlanta where primarily ammonium was observed in the positive ion spectrum for ambient aerosol, Boulder aerosols appear to be composed of a variety of compounds most of which have not been identified. In the negative ion spectrum, Boulder sub-20 nm diameter particles are characterized by large nitrate peaks, with integrated areas up to 3 orders of magnitude greater than aerosol sulfate.

  2. 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.

  3. Research Collaborations | NREL

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

    Research Collaborations NREL leverages its leadership role in clean energy through research collaborations with academia. Colorado Renewable Energy Collaboratory This consortium commercializes technologies, supports economic growth, and educates the workforce. NREL partners with the Colorado School of Mines, Colorado State University, and the University of Colorado at Boulder. Learn more JISEA - Joint Institute for Strategic Energy Analysis JISEA (pronounced jye-SEE-uh) provides leading-edge,

  4. New and Improved Data Logging and Collection System for Atmospheric...

    Office of Scientific and Technical Information (OSTI)

    for Atmospheric Radiation Measurement Climate Research Facility, Tropical Western ... for Atmospheric Radiation Measurement Climate Research Facility, Tropical Western ...

  5. Atmospheric Chemistry

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

    competencies Atmospheric Chemistry Atmospheric Chemistry is the study of the composition of the atmosphere, the sources and fates of gases and particles in air, and changes induced...

  6. 1

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

    Radiative Heating Rate Forcing Using Profiles of Retrieved Arctic Cloud Microphysics M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado P. Zuidema National Research Council National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Introduction

  7. 1

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

    Annual Cycle of Arctic Cloud Microphysics M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado S. Y. Matrosov Cooperative Institute for Research National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado Introduction Clouds are important in

  8. U.S. Department of Energy Celebrates New DOE 1.5 Research Wind Turbine -

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

    News Releases | NREL U.S. Department of Energy Celebrates New DOE 1.5 Research Wind Turbine November 10, 2009 Boulder, Colorado - Officials from the U.S. Department of Energy (DOE) today joined industry representatives and managers from DOE's National Laboratories to celebrate the latest tool to advance the Department's wind energy research: a state-of-the-art wind turbine installed at DOE's National Wind Technology Center (NWTC), at the National Renewable Energy Laboratory, near Boulder.

  9. ARM - Funded Research Proposals

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

    Research Proposals Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) Earth System Modeling Regional &...

  10. Scientific Final Report: COLLABORATIVE RESEARCH: CONTINUOUS DYNAMIC GRID ADAPTATION IN A GLOBAL ATMOSPHERIC MODEL: APPLICATION AND REFINEMENT

    SciTech Connect (OSTI)

    William J. Gutowski; Joseph M. Prusa, Piotr K. Smolarkiewicz

    2012-04-09

    This project had goals of advancing the performance capabilities of the numerical general circulation model EULAG and using it to produce a fully operational atmospheric global climate model (AGCM) that can employ either static or dynamic grid stretching for targeted phenomena. The resulting AGCM combined EULAG's advanced dynamics core with the 'physics' of the NCAR Community Atmospheric Model (CAM). Effort discussed below shows how we improved model performance and tested both EULAG and the coupled CAM-EULAG in several ways to demonstrate the grid stretching and ability to simulate very well a wide range of scales, that is, multi-scale capability. We leveraged our effort through interaction with an international EULAG community that has collectively developed new features and applications of EULAG, which we exploited for our own work summarized here. Overall, the work contributed to over 40 peer-reviewed publications and over 70 conference/workshop/seminar presentations, many of them invited.

  11. Atmosphere to Electrons

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

    Atmosphere to Electrons Enabling the Wind Plant of Tomorrow 2 Atmosphere to Electrons Enabling the Wind Plant of Tomorrow The U.S. Department of Energy's (DOE's) Atmosphere to Electrons (A2e) research initiative is focused on improving the performance and reliability of wind plants by establishing an unprecedented under- standing of how the Earth's atmosphere interacts with the wind plants and developing innovative technologies to maximize energy extraction from the wind. The A2e initiative

  12. miller-er-99.PDF

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

    Correction for Dry Bias in Vaisala Radiosonde RH Data E. R. Miller, J. Wang, and H. L. Cole National Center for Atmospheric Research Atmospheric Technology Division Boulder,...

  13. 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.

  14. VAMDC FP7 project and STARK-B database: C II Stark broadening parameters for white dwarf atmospheres research

    SciTech Connect (OSTI)

    Larbi-Terzi, Neila; Ben Nessib, Nebil; Sahal-Brechot, Sylvie; Dimitrijevic, Milan S.

    2010-11-23

    Stark broadening parameters of C II lines were determined within 3s-np spectral series within the semiclassical perturbation method. The atomic energy levels needed for calculations were taken from TOPBASE as well as the oscillator strengths, calculated additionally using the Coulomb approximation (the method of Bates and Damgaard). The both results were compared and the disagreement is found only in one case where the configuration mixing allows a forbidden transition to a close perturbing energy level. Calculations were performed for plasma conditions relevant for atmospheres of DQ white dwarfs and for a new type of white dwarfs, with surface composed mostly of carbon, discovered in 2007 by Dufour et al.. The aim of this work is to provide accurate C II Stark broadening data, which are crucial for this type of white dwarf atmosphere modellisation. Obtained results will be included in STARK-B database (http://stark-b.obspm.fr/), entering in the FP7 project of European Virtual Atomic and Molecular Data Center VAMDC aiming at building an interoperable e-Infrastructure for the exchange of atomic and molecular data (http://www.vamdc.org/).

  15. Economic Impacts from the Boulder County, Colorado, ClimateSmart Loan Program: Using Property-Assessed Clean Energy Financing

    SciTech Connect (OSTI)

    Goldberg, M.; Cliburn, J. K.; Coughlin, J.

    2011-04-01

    This report examines the economic impacts (including job creation) from the Boulder County, Colorado, ClimateSmart Loan Program (CSLP), an example of Property-Assessed Clean Energy (PACE) financing. The CSLP was the first test of PACE financing on a multi-jurisdictional level (involving individual cities as well as the county government). It was also the first PACE program to comprehensively address energy efficiency measures and renewable energy, and it was the first funded by a public offering of both taxable and tax-exempt bonds.

  16. dudhia-98.pdf

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

    Verification of June 1993 IOP Assimilation Dataset and its Use in Driving a Single-Column CCM3 Model J. Dudhia Mesoscale and Microscale Meteorology Division National Center for Atmospheric Research Boulder, Colorado D. B. Parsons Atmospheric Technology Division National Center for Atmospheric Research Boulder, Colorado J. Petch Climate and Global Dynamics Division National Center for Atmospheric Research Boulder, Colorado Overview One goal of the Atmospheric Radiation Measurement (ARM) Program

  17. Research Update: Atmospheric pressure spatial atomic layer deposition of ZnO thin films: Reactors, doping, and devices

    SciTech Connect (OSTI)

    Hoye, Robert L. Z. E-mail: jld35@cam.ac.uk; MacManus-Driscoll, Judith L. E-mail: jld35@cam.ac.uk; Muoz-Rojas, David; Nelson, Shelby F.; Illiberi, Andrea; Poodt, Paul

    2015-04-01

    Atmospheric pressure spatial atomic layer deposition (AP-SALD) has recently emerged as an appealing technique for rapidly producing high quality oxides. Here, we focus on the use of AP-SALD to deposit functional ZnO thin films, particularly on the reactors used, the film properties, and the dopants that have been studied. We highlight how these films are advantageous for the performance of solar cells, organometal halide perovskite light emitting diodes, and thin-film transistors. Future AP-SALD technology will enable the commercial processing of thin films over large areas on a sheet-to-sheet and roll-to-roll basis, with new reactor designs emerging for flexible plastic and paper electronics.

  18. Research Highlight

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

    Environmental Thermodynamics Affect Radiative Impact of Deep Convective Cloud Systems Submitter: Jensen, M., Brookhaven National Laboratory Area of Research: Atmospheric...

  19. Simulations of Clouds and Sensitivity Study by Weather Research and Forecast Model for Atmospheric Radiation Measurement Case 4

    SciTech Connect (OSTI)

    Wu, J.; Zhang, M.

    2005-03-18

    One of the large errors in general circulation models (GCMs) cloud simulations is from the mid-latitude, synoptic-scale frontal cloud systems. Now, with the availability of the cloud observations from Atmospheric Radiation Measurement (ARM) 2000 cloud Intensive Operational Period (IOP) and other observational datasets, the community is able to document the model biases in comparison with the observations and make progress in development of better cloud schemes in models. Xie et al. (2004) documented the errors in midlatitude frontal cloud simulations for ARM Case 4 by single-column models (SCMs) and cloud resolving models (CRMs). According to them, the errors in the model simulated cloud field might be caused by following reasons: (1) lacking of sub-grid scale variability; (2) lacking of organized mesoscale cyclonic advection of hydrometeors behind a moving cyclone which may play important role to generate the clouds there. Mesoscale model, however, can be used to better under stand these controls on the subgrid variability of clouds. Few studies have focused on applying mesoscale models to the forecasting of cloud properties. Weaver et al. (2004) used a mesoscale model RAMS to study the frontal clouds for ARM Case 4 and documented the dynamical controls on the sub-GCM-grid-scale cloud variability.

  20. Atmospheric sciences transfer between research advances and energy-policy assessments (ASTRAEA). Final report, 1 April 1996--31 December 1997

    SciTech Connect (OSTI)

    Slinn, W.G.N.

    1997-12-10

    Consistent with the prime goal of the ASTRAEA project, as given in its peer-reviewed proposal, this final report is an informal report to DOE managers about a perceived DOE management problem, specifically, lack of vision in DOE`s Atmospheric Chemistry Program (ACP). After presenting a review of relevant, current literature, the author suggests a framework for conceiving new visions for ACP, namely, multidisciplinary research for energy policy, tackling tough (e.g., nonlinear) problems as a team, ahead of political curves. Two example visions for ACP are then described, called herein the CITIES Project (the Comprehensive Inventory of Trace Inhalants from Energy Sources Project) and the OCEAN Project (the Ocean-Circulation Energy-Aerosol Nonlinearities Project). Finally, the author suggests methods for DOE to provide ACP with needed vision.

  1. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

    Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

  2. Pacific Northwest Laboratory annual report for 1988 to the DOE Office of Energy Research: Part 3, Atmospheric sciences

    SciTech Connect (OSTI)

    Not Available

    1989-04-01

    Disposal of spent fuel or high level nuclear waste into marine sediments would create high temperature-high gamma radiation environments adjacent to waste canisters. Under these conditions sediments will react producing pore waters that differ significantly from those occurring naturally. These changes may enhance canister corrosion or facilitate transport of radionuclides through unreacted sediments beyond the heated zone. In addition, the term ''near field'' needs clarification, as it is used widely without having a precise meaning. Research in three areas was undertaken to improve our understanding of near field chemical processes. Initially, isothermal experiments were carried out in ''Dickson'' hydrothermal systems. These were followed by an experimental program directed at understanding the chemical effects of temperature-gradient induced transport. Finally, additional experimentation was done to study the combined effects of hydrothermal conditions and intense gamma radiation. Having completed this body of experimental work, it was concluded that near field conditions are not an obstacle to the safe use of abyssal marine sediments for the disposal of spent fuel or high level nuclear wastes. 41 refs., 6 figs., 17 tabs.

  3. Community Atmosphere Model

    Energy Science and Technology Software Center (OSTI)

    2004-10-18

    The Community Atmosphere Model (CAM) is an atmospheric general circulation model that solves equations for atmospheric dynamics and physics. CAM is an outgrowth of the Community Climate Model at the National Center for Atmospheric Research (NCAR) and was developed as a joint collaborative effort between NCAR and several DOE laboratories, including LLNL. CAM contains several alternative approaches for advancing the atmospheric dynamics. One of these approaches uses a finite-volume method originally developed by personnel atmore » NASNGSFC, We have developed a scalable version of the finite-volume solver for massively parallel computing systems. FV-CAM is meant to be used in conjunction with the Community Atmosphere Model. It is not stand-alone.« less

  4. Initial Assessment of the Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR)-Based Aerosol Retrieval: Sensitivity Study

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Flynn, Connor J.; Redemann, Jens; Schmid, Beat; Russell, P. B.; Sinyuk, Alexander

    2012-10-24

    The Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) being developed for airborne measurements will offer retrievals of aerosol microphysical and optical properties from multi-angular and multi-spectral measurements of sky radiance and direct-beam sun transmittance. In this study, we assess the expected accuracy of the 4STAR-based aerosol retrieval and its sensitivity to major sources of anticipated perturbations in the 4STAR measurements by adapting a theoretical approach previously developed for the AERONET measurements. The major anticipated perturbations are (1) an apparent enhancement of sky radiance at small scattering angles associated with the necessarily compact design of the 4STAR and (2) and an offset (i.e. uncertainty) of sky radiance calibration independent of scattering angle. The assessment is performed through application of the operational AERONET aerosol retrieval and constructed synthetic 4STAR-like data. Particular attention is given to the impact of these perturbations on the upwelling and downwelling broadband fluxes and the direct aerosol radiative forcing at the bottom and top of the atmosphere. The results from this study suggest that limitations in the accuracy of 4STAR-retrieved particle size distributions and scattering phase functions have diminished impact on the accuracy of retrieved bulk microphysical parameters, permitting quite accurate retrievals of properties including the effective radius (up to 10%, or 0.03), and the radiatively important optical properties, such as the asymmetry factor (up to 4%, or 0.02) and single-scattering albedo (up to 6%, or 0.04). Also, the obtained results indicate that the uncertainties in the retrieved aerosol optical properties are quite small in the context of the calculated fluxes and direct aerosol radiative forcing (up to 15%, or 3 Wm-2).

  5. ARM - Research Themes

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

    govScienceResearch Themes Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) Earth System Modeling Regional & Global...

  6. 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 ...

  7. parsons-98.pdf

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

    D. B. Parsons National Center for Atmospheric Research Boulder, Colorado K. Yoneyama Japan Marine Science and Technology Center Yokosuka, Japan Introduction Studies of...

  8. 1

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

    G. M. McFarquhar National Center for Atmospheric Research Boulder Colorado P. Yang Goddard Earth Sciences and Technology Center University of Maryland, Baltimore County...

  9. Posters

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

    San Diego La Jolla, California H. Grassl Max Planck Institute for Meteorology Hamburg, Germany A. Heymsfield National Center for Atmospheric Research Boulder, Colorado J. Spinhirne...

  10. 1

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

    Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado J. E. Hare, A. B. White, and A. A. Grachev Cooperative Institute for Research in Environmental...

  11. Lewis-S.PDF

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

    Microphysical Measurements of Cirrus Properties During ARM 2000 IOP S. Lewis and A. J. Heymsfield National Center for Atmospheric Research Boulder, Colorado C. Twohy Oregon State...

  12. 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

  13. Research Highlight

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

    Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: NA...

  14. Research Highlight

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

    Submitter: Westwater, E. R., University of Colorado Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference:...

  15. Research Highlight

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

    Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties, Radiative Processes...

  16. Research Highlight

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

    Xie, S., Lawrence Livermore National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: Xie...

  17. Research Highlight

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

    to improve the representation of the autoconversion process in atmospheric models. This research also reveals major deficiencies of existing empirical schemes (see the figure)....

  18. Research Highlight

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

    Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Paine SN, DD Turner, ...

  19. Research Highlight

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

    "Roobik" Is Part of the Answer, Not a Puzzle Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): ...

  20. Research Highlight

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

    Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Turner DD. ...

  1. Research Highlight

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

    Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Shupe MD, DD Turner, VP ...

  2. Research Highlight

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

    Mlawer, E. J., Atmospheric & Environmental Research, Inc. Turner, D. D., National Oceanic ... Journal Reference: Cady-Pereira, K, M Shephard, E Mlawer, D Turner, S Clough, and T ...

  3. Research Highlight

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

    Size Distributions with Help from Satellites Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute d'Entremont, R. P., Atmospheric and Environmental...

  4. 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...

  5. Research Highlight

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

    printable PDF Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s):...

  6. Research Highlight

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

    PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Aerosol Life Cycle,...

  7. 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.

  8. Research Highlight

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

    Characterization of Atmospheric Aerosols Using MFRSR Measurements Download a printable PDF Submitter: Alexandrov, M. D., Columbia University Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Alexandrov, MD, AA Lacis, BE Carlson, and B Cairns. 2007. "Characterization of atmospheric aerosols using MFRSR measurements." (Journal of Geophysical Research 113, DO8204. Sample spectral optical depths of atmospheric constituents in 300 - 900 nm spectral range:

  9. Research Highlight

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

    Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model Download a printable PDF Submitter: Zhang, G., University of California, San Diego Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Li, G, and GJ Zhang. 2008. "Understanding biases in shortwave cloud radiative forcing in the National Center for Atmospheric Research Community Atmosphere Model (CAM3) during El

  10. NREL: Solar Research - News Release Archives

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

    0 December 21, 2010 DOE Finalizes $1.45 Billion Loan Guarantee for One of the World's Largest Solar Generation Plants A $1.45 billion loan guarantee has been finalized for Abengoa Solar Inc.'s Solana project, the world's largest parabolic trough concentrating solar plant. December 2, 2010 Scientists Generate Two Energetic Electronic States from One Photon - Researchers from the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) and the University of Colorado, Boulder (UCB),

  11. A U. S. Department of Energy User Facility Atmospheric Radiation

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

    S. Department of Energy User Facility AtmosphericRadiationMeasurement Climate Research Facility U.S. Department of Energy Atmospheric Radiation Measurement Program DOESC-ARM...

  12. Modeling Workflow for the DOE Atmospheric Radiation Measurement...

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

    Workflow for the DOE Atmospheric Radiation Measurement Facility's LES ARM Symbiotic ... and Environmental Research Program through its Atmospheric Radiation Measurement Facility. ...

  13. 1

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

    Radar-Based Retrievals of Cloud Properties in the Arctic and New Results from SHEBA M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal and W. Orr National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado S. Y. Matrosov Cooperative Institute for Research in Environmental Sciences National Oceanic and Atmospheric Administration Environmental

  14. 1

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

    Representing Sub-Grid Scale Cloud Variability with Monte- Carlo Independent Column Approximation and RRTMG in the National Center for Atmospheric Research Community Atmosphere Model, CAM3 M.J. Iacono Atmospheric and Environmental Research, Inc., Lexington, Massachusetts R. Pincus National Oceanic and Atmospheric Administration- Cooperative Institute for Research in Environmental Sciences Boulder, Colorado C. Hannay National Center for Atmospheric Research Boulder, Colorado Introduction The

  15. DEFRA Global Atmosphere Dept | Open Energy Information

    Open Energy Info (EERE)

    Kingdom Zip: SW1E 6DE Product: Atmosphere research department of the UK Department of Food and Rural Affairs. References: DEFRA - Global Atmosphere Dept.1 This article is a...

  16. frisch-98.pdf

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

    9 On Stratus Cloud Liquid Water Profiles from a Cloud Radar and Microwave Radiometer A. S. Frisch and G. Feingold Cooperative Institute for Research in the Atmosphere Colorado State University and NOAA-Environmental Technology Laboratory Boulder, Colorado C. W. Fairall NOAA-Environmental Technology Laboratory Boulder, Colorado J. B. Snider Cooperative Institute for Research in the Atmosphere Colorado State University Boulder, Colorado Introduction Stratus clouds are important in boundary-layer

  17. Research Highlight

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

    A Partial Mechanistic Understanding of the North American Monsoon Download a printable PDF Submitter: Erfani, E., Desert Research Institute Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Erfani E and DL Mitchell. 2014. "A partial mechanistic understanding of the North American monsoon." Journal of Geophysical Research - Atmospheres, 119(23), 10.1002/2014JD022038. a) Dependence of

  18. Research Highlight

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

    Radiative Forcing by Long-Lived Greenhouse Gases: Calculations with the AER Models Download a printable PDF Submitter: Iacono, M. J., Atmospheric & Environmental Research, Inc. Delamere, J. S., Tech-X Corporation Mlawer, E. 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): Radiative Processes Journal Reference: Iacono, MJ, JS Delamere, EJ

  19. X:\ARM_19~1\P185-192.WPD

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

    K a band Session Papers 189 Comparisons of Cloud Ice Mass Content Retrieved from the Radar-Infrared Radiometer Method with Aircraft Data During the Second International Satellite Cloud Climatology Project Regional Experiment (FIRE-II) S. Y. Matrosov A. J. Heymsfield CIRES University of Colorado at Boulder and National Center for Atmospheric Research National Oceanic and Atmospheric Administration Boulder, Colorado Environmental Technology Laboratory Boulder, Colorado R. A. Kropfli and J. B.

  20. Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System

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

    3 Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System S. I. Gutman, (a) R. B. Chadwick, (b) and D. W. Wolf (c) National Oceanic and Atmospheric Administration Boulder, Colorado A. Simon Cooperative Institute for Research in Environmental Science Boulder, Colorado T. Van Hove and C. Rocken University Navstar Consortium Boulder, Colorado Background Water vapor is one of the most important constituents of the free atmosphere since it is the principal

  1. Research Highlight

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

    Field Campaign Resource Allocation Using Statistical Decision Analysis Download a printable PDF Submitter: Hanlon, C., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Hanlon CJ, JB Stefik, AA Small, J Verlinde, and GS Young. 2013. "Statistical decision analysis for flight decision support: The SPartICus campaign." Journal of Geophysical Research - Atmospheres, , . ACCEPTED. In many atmospheric science field

  2. Research Highlight

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    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 -

  3. Research Highlight

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    Ice Particle Projected Area- and Mass-Dimension Expressions for Cirrus Clouds Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Erfani E and DL Mitchell. 2015. "Developing and bounding ice particle mass- and area-dimension expressions for use in atmospheric models and remote sensing." Atmospheric Chemistry and Physics, 15(20),

  4. Research Highlight

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    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

  5. Research Highlight

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    Comparison of Ground-Based Millimeter-Wave Observations During RHUBC I Submitter: Cimini, D., CETEMPS - Dipartimento di Fisica Westwater, E. R., University of Colorado Payne, V., Jet Propulsion Laboratory/California Institute of Technology Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Exner, M., Radiometrics Corporation Cadeddu, M. P., Argonne National Laboratory Area of Research: Radiation Processes Working Group(s):

  6. Research Highlight

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    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

  7. Research Highlight

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

    Pollution + Storm Clouds = Warmer Atmosphere Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fan J, D Rosenfeld, Y Ding, L Leung, and Z Li. 2012. "Potential aerosol indirect effects on atmospheric circulation and radiative forcing through deep convection." Geophysical Research Letters, 39, L09806,

  8. Research Highlight

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

    Quantifying the Magnitude of Anomalous Solar Absorption Submitter: Ackerman, T. P., University of Washington Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1 Spurred by a series of articles published in 1995 claiming solar absorption in cloudy atmospheres far exceeded model predictions, Atmospheric Radiation Measurement (ARM) Program researchers at the Southern Great Plains (SGP) site in Oklahoma

  9. The 2004 North Slope of Alaska Arctic Winter Radiometric Experiment

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

    2004 North Slope of Alaska Arctic Winter Radiometric Experiment E. R. Westwater, M. A. Klein, and V. Leuski Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado A. J. Gasiewski, T. Uttal, and D. A. Hazen National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. Cimini Remote Sensing Division, CETEMPS Universita'

  10. machol-99.PDF

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

    Compact Lidar to Profile Water Vapor in the Lower Troposphere J. L. Machol Cooperative Institute for Research in Environmental Sciences, University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado R. M. Hardesty National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado J. B. Abshire and M. A. Krainak National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt,

  11. Symposium on Lower Tropospheric Profiling: Needs and Technologies, 1st, Boulder, CO, May 31-June 3, 1988, Papers

    SciTech Connect (OSTI)

    Dabberdt, W.F.; Hardesty, R.M.

    1989-10-01

    Papers on lower tropospheric profiling are presented, covering topics such as horizontal resolution needs for adequate lower tropospheric profiling with atmospheric systems forced by horizontal gradients in surface heating, meteorological data requirements for modeling air quality uncertainties, and kinematic quantities derived from a triangle of VHF Doppler wind profilers. Other topics include the intercomparison of wind measurements from two acoustic Doppler sodars, a laser Doppler radar, and in situ sensors, studying precipitation processes in the troposphere with an FM-CW radar, Doppler lidar measurements of profiles of turbulence and momentum flux, and airborne Doppler lidar measurements of the extended California sea breeze. Additional subjects include DIAL tropospheric ozone measurement using a Nd:YAG laser and the Raman shifting technique, design considerations for a network of thermodynamic profilers, nonredundant frequencies for ground-based microwave radiometric temperature profiling, and the sounding range of a 1-m wavelength radio acoustic sounder.

  12. X:\ARM_19~1\PGS77-91.WPD

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

    Comparison of Mean Properties of Simulated Convection in a Cloud-Resolving Model with Those Produced by Cumulus Parameterization J. Dudhia Mesoscale and Microscale Meteorology Division National Center for Atmospheric Research Boulder, Colorado D. B. Parsons Atmospheric Technology Division National Center for Atmospheric Research Boulder, Colorado Introduction An Intensive Observation Period (IOP) of the Atmospheric Radiation Measurement (ARM) Program took place at the Southern Great Plains (SGP)

  13. Atmosphere to Electrons | Department of Energy

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

    Research & Development » Atmosphere to Electrons Atmosphere to Electrons Atmosphere to Electrons Atmosphere to Electrons (A2e) is a multi-year U.S. Department of Energy (DOE) research initiative targeting significant reductions in the cost of wind energy through an improved understanding of the complex physics governing electricity generation by wind plants. The goal of A2e is to ensure future wind plants are sited, built, and operated in a way that produces the most cost-effective, usable

  14. 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

  15. Research Highlight

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    Modeling Dust as Component Minerals in the Community Atmosphere Model Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Scanza R, N Mahowald, S Ghan, CS Zender, JF Kok, Y Zhang, and S Albani. 2015. "Modeling dust as component minerals in the Community Atmosphere Model: development of framework and impact on radiative forcing."

  16. Research Highlight

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    Splitting the Solar Spectrum: Sometimes Less Is Better Than More Submitter: Pawlak, D. T., Pennsylvania State University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Pawlak, DT, EJ Clothiaux, MF Modest, and JNS Cole. 2004. Full-Spectrum Correlated-k Distribution for Shortwave Atmospheric Radiative Transfer. Journal of the Atmospheric Sciences 61: 2588-2601. Of all the physical and dynamical calculations

  17. Research Highlight

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

    A Comparison of Integrated Water Vapor Sensors: WVIOP-96 Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 The 1996 Water Vapor Intensive Operations Period (WVIOP-96) was conducted at the SGP CART central facility in September in order to assess the skill of a wide variety of sensors in measuring atmospheric water

  18. Research Highlight

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

    Ensemble-Constrained Variational Analysis of Atmospheric Forcing Data and Its Application Download a printable PDF Submitter: Zhang, M., Stony Brook University Tang, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Tang S, M Zhang, and S Xie. 2016. "An ensemble constrained variation alanalysis of atmospheric forcing data and its application to evaluate clouds in

  19. Research Highlight

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

    Modification of the Atmospheric Boundary Layer by a Small Island: Observations from Nauru Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Matthews, S., J. M. Hacker, J. Cole, J. Hare, C. N. Long, and R. M. Reynolds, (2007): Modification of the atmospheric boundary layer by a small island: observations from Nauru, MWR, Vol. 135, No. 3, pages 891–905. Figure 1.

  20. Research Highlight

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

    Structure of Cirrus Properties and Its Coupling with the State of the Large-Scale Atmosphere Download a printable PDF Submitter: Ivanova, K., Pennsylvania State University Ackerman, T. P., University of Washington Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Ivanova K and TP Ackerman. 2009. "Tracking nucleation-growth-sublimation in cirrus clouds using ARM millimeter wavelength radar observations." Journal of

  1. Research Highlight

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    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

  2. 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

  3. Research Highlight

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

    Multifractal Analysis of Radiation in Clouds: 5000km to 50cm Submitter: Lovejoy, S., McGill University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Lovejoy, S., D. Schertzer, J. D. Stanway, 2001: "Direct Evidence of planetary scale atmospheric cascade dynamics," Phys. Rev. Lett. 86(22): 5200-5203. Left: Power spectrum of the 5 different aircraft measured liquid water data sets from the FIRE experiment

  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)

    Characterizing Clouds at Arctic Atmospheric Observatories Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Shupe MD, VP Walden, E Eloranta, T Uttal, JR Campbell, SM Starkweather, and M Shiobara. 2011. "Clouds at Arctic atmospheric observatories, part I: occurrence and macrophysical properties." Journal of Applied Meteorology and Climatology, 50(3), 626-644.

  6. Research Highlight

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

    Indirect Impact of Atmospheric Aerosols on an Ensemble of Deep Convective Clouds Download a printable PDF Submitter: Grabowski, W., NCAR Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Grabowski WW and H Morrison. 2011. "Indirect impact of atmospheric aerosols in idealized simulations of convective-radiative quasi-equilibrium. Part II: Double-moment microphysics." Journal of

  7. Research Highlight

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

    Scale Shows True Weight of Aerosol Effects on Clouds Download a printable PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: McComiskey A and G Feingold. 2012. "The scale problem in quantifying aerosol indirect effects." Atmospheric Chemistry and Physics, 12, doi:10.5194/acp-12-1031-2012. Differing values: Values derived from aircraft and surface observations,

  8. Research Highlight

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    2007 Floods Not a Complete Washout in U.S. Great Plains Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Lamb PJ, DH Portis, and A Zangvil. 2012. "Investigation of Large-Scale Atmospheric Moisture Budget and Land Surface Interactions over U.S. Southern Great Plains including for CLASIC (June 2007)." Journal of

  9. Research Highlight

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

    Shaking Things Up-What Triggers Atmospheric Convection in the West African Sahel? Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: Couvreux F, C Rio, F Guichard, M Lothon, G Canut, D Bouniol, and A Gounou. 2012. "Initiation of daytime local convection in a semi-arid region analysed with high-resolution simulations and AMMA observations." Quarterly

  10. Atmospheric science and power production

    SciTech Connect (OSTI)

    Randerson, D.

    1984-07-01

    This is the third in a series of scientific publications sponsored by the US Atomic Energy Commission and the two later organizations, the US Energy Research and Development Adminstration, and the US Department of Energy. The first book, Meteorology and Atomic Energy, was published in 1955; the second, in 1968. The present volume is designed to update and to expand upon many of the important concepts presented previously. However, the present edition draws heavily on recent contributions made by atmospheric science to the analysis of air quality and on results originating from research conducted and completed in the 1970s. Special emphasis is placed on how atmospheric science can contribute to solving problems relating to the fate of combustion products released into the atmosphere. The framework of this book is built around the concept of air-quality modeling. Fundamentals are addressed first to equip the reader with basic background information and to focus on available meteorological instrumentation and to emphasize the importance of data management procedures. Atmospheric physics and field experiments are described in detail to provide an overview of atmospheric boundary layer processes, of how air flows around obstacles, and of the mechanism of plume rise. Atmospheric chemistry and removal processes are also detailed to provide fundamental knowledge on how gases and particulate matter can be transformed while in the atmosphere and how they can be removed from the atmosphere. The book closes with a review of how air-quality models are being applied to solve a wide variety of problems. Separate analytics have been prepared for each chapter.

  11. ARM - Atmospheric Heat Budget

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

    ListAtmospheric Heat Budget Outreach Home Room News Publications Traditional Knowledge ... Teachers' Toolbox Lesson Plans Atmospheric Heat Budget The average temperature of the ...

  12. dudhia-99.PDF

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

    Mesoscale Model Coupled to a Land-Surface Model to Simulate Surface Fluxes at High Resolution J. Dudhia Mesoscale and Microscale Meteorology Division National Center for Atmospheric Research Boulder, Colorado F. Chen Research Applications Program National Center for Atmospheric Research Boulder, Colorado Overview One goal of the Atmospheric Radiation Measurement (ARM) Program is to improve general circulation models (GCMs) by obtaining detailed meteorological information in limited areas of

  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. Atmosphere to Electrons Program Overview Presentation | Department of

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

    Energy Atmosphere to Electrons Program Overview Presentation Atmosphere to Electrons Program Overview Presentation Atmosphere to Electrons (A2e) is a new, multi-year, multi-stakeholder DOE research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reductions in the cost of wind energy. PDF icon Atmosphere to Electrons Overview.pdf More Documents & Publications External Merit Review for the Atmosphere to

  15. Atmospheric Radiation Measurement (ARM) Data from Niamey, Niger for the

    Office of Scientific and Technical Information (OSTI)

    Radiative Atmospheric Divergence using AMF, GERB and AMMA Stations (RADAGAST) () | Data Explorer Niamey, Niger for the Radiative Atmospheric Divergence using AMF, GERB and AMMA Stations (RADAGAST) Title: Atmospheric Radiation Measurement (ARM) Data from Niamey, Niger for the Radiative Atmospheric Divergence using AMF, GERB and AMMA Stations (RADAGAST) The Atmospheric Radiation Measurement (ARM) Program is the largest global change research program supported by the U.S. Department of Energy.

  16. Microsoft PowerPoint - ARMSTM2008_pdf.ppt

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

    Measures of aerosol-cloud interactions and their uncertainties: A case study from the AMF Pt. Reyes deployment Allison McComiskey, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder / NOAA Earth System Research Laboratory Graham Feingold, NOAA Earth System Research Laboratory, Boulder, CO, Shelby Frisch, Cooperative Institute for Research in the Atmosphere, Colorado State University / NOAA Earth System Research Laboratory, Qilong Min, Atmospheric

  17. NREL: Process Development and Integration Laboratory - Atmospheric

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

    Processing Platform Capabilities Research Process Development and Integration Laboratory Printable Version Atmospheric Processing Platform Capabilities The Atmospheric Processing platform in the Process Development and Integration Laboratory offers powerful capabilities with integrated tools for depositing, processing, and characterizing photovoltaic materials and devices. In particular, this platform focuses on different methods to deposit ("write") materials onto a variety of

  18. ORISE: Capabilities in Climate and Atmospheric Research

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

    office in 1948 under Atomic Energy Commission sponsorship in Oak Ridge, Tenn. Major contributions to many of the classic models of air pollution dispersion were made there. ...

  19. 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 ...

  20. 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 ...

  1. 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 ...

  2. 1

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

    Atmospheric Radiation Measurement Program Aerosol Observing Systems: Status and Planned Upgrades P. Sheridan, J. Ogren, E. Andrews, and A. Jefferson National Oceanic and Atmospheric Administration, Earth System Research Laboratory, Global Monitoring Division Boulder, Colorado E. Andrews, and J. Jefferson Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder, Colorado D. Collins Department of Atmospheric Sciences Texas A&M University College Station,

  3. 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

  4. Research Highlight

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

    The Overambitious Other Carbon Submitter: Church, J., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Song C, M Gyawali, RA Zaveri, JE Shilling, and WP Arnott. 2013. "Light absorption by secondary organic aerosol from α-pinene: Effects of oxidants, seed aerosol acidity, and relative humidity." Journal of Geophysical Research - Atmospheres, 118, doi:10.1002/jgrd.50767. Time-dependent Mass Absorption

  5. Research Highlight

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

    MBL Aerosol Properties and Their Impact on CCN at the Azores-AMF Site Download a printable PDF Submitter: Dong, X., University of North Dakota Area of Research: Aerosol Properties Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Logan T, B Xi, and X Dong. 2014. "Aerosol properties and their influences on marine boundary layer cloud condensation nuclei at the ARM mobile facility over the Azores." Journal of Geophysical Research - Atmospheres, 119(8),

  6. Research Highlight

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

    Are Increases in Thunderstorm Activity in Southeast China Related to Air Pollution? Download a printable PDF Submitter: Li, Z., UALBANY Cribb, M. C., University of Maryland Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Yang X and Z Li. 2014. "Increases in thunderstorm activity and relationships with air pollution in southeast China." Journal of Geophysical Research - Atmospheres, 119(4),

  7. Research Highlight

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

    Observed Relations Between Snowfall Microphysics and Triple-Frequency Radar Observations Download a printable PDF Submitter: Kneifel, S., McGill University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kneifel S, A von Lerber, J Tiira, D Moisseev, P Kollias, and J Leinonen. 2015. "Observed relations between snowfall microphysics and triple-frequency radar measurements." Journal of Geophysical Research - Atmospheres, 120(12),

  8. Research Highlight

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

    How Well Are Shallow Convective Clouds Simulated in the CAM5 Model? Download a printable PDF Submitter: Chandra, A. S., University of Miami Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Chandra AS, C Zhang, SA Klein, and H Ma. 2015. "Low-cloud characteristics over the tropical western Pacific from ARM observations and CAM5 simulations." Journal of Geophysical Research - Atmospheres, 120, 52402, doi:10.1002/2015JD02.

  9. Research Highlight

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

    Characterizing Arctic Mixed-Phase Cloud Structure Download a printable PDF Submitter: Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qiu S, X Dong, B Xi, and F Li. 2015. "Characterizing Arctic mixed-phase cloud structure and its relationship with humidity and temperature inversion using ARM NSA observations." Journal of Geophysical Research - Atmospheres, 120, 10.1002/2014JD023022.

  10. 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),

  11. Research Highlight

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

    Pollution Changes Clouds' Ice Crystal Genesis Download a printable PDF Submitter: Kulkarni, G., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kulkarni GR, K Zhang, C Zhao, M Nandasiri, V Shutthanandan, X Liu, L Berg, and J Fast. 2015. "Ice formation on nitric acid-coated dust particles: Laboratory and modeling studies." Journal of Geophysical Research - Atmospheres, 120(15), doi:10.1002/2014JD022637.

  12. 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

  13. Research Highlight

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

    Quantifying Error in the Radiative Forcing of the First Aerosol Indirect Effect Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Submitted to Geophysical Research Letters, 06-27-2007. Radiative forcing of aerosol indirect as function of CCN number density and LWP in units of W/m2 per 5% IE error. A survey of recently published works shows that values used to represent the magnitude of

  14. Research Highlight

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

    ARM Science Applications of AERI Measurements Submitter: Smith, W. L., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Cloud Modeling Journal Reference: DeSlover, D. H. 1996. Analysis of Visible and Infrared Cirrus Cloud Optical Properties Using High Spectral Resolution Remote Sensing, M.S. Thesis, University of Wisconsin - Madison. Ho, S.-P. 1997. Atmospheric Profiles From Simultaneous Observations of Upwelling and Downwelling Spectral Radiance, Ph.D.

  15. Research Highlight

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    Minimal Shortwave Anomalous Absorption Found over ACRF Sites Download a printable PDF Submitter: Dong, X., University of North Dakota Minnis, P., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Dong, X, BA Wielicki, B Xi, Y Hu, GG Mace, S Benson, F Rose, S Kato, T Charlock, and P Minnis. 2008. "Using observations of deep convective systems to constrain atmospheric column absorption of solar radiation in the

  16. Research Highlight

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    The Surprisingly Large Contribution of Small Marine Clouds to Cloud Fraction and Reflectance Download a printable PDF Submitter: Oreopoulos, L., NASA Feingold, G., NOAA - Earth System Research Laboratory Koren, I., Weizmann Institute of Science Remer, L., NASA - GSFC, Laboratory for Atmospheres Area of Research: Clouds with Low Optical [Water] Depths (CLOWD) Working Group(s): Cloud Properties Journal Reference: Koren, I, L Oreopoulos, G Feingold, LA Remer, and O Altaratz. 2008. "How small

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    Atmospheric Aerosol Measurements on Cloudy Days: a New Method Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Kassianov, EI, and M Ovtchinnikov. 2008. "On reflectance ratios and aerosol optical depth retrieval in the presence of cumulus clouds." Geophysical Research Letters doi:10.1029/2008GL033231.

  18. Research Highlight

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    The Influence of Parameterized Ice Habit on Simulated Mixed-Phase Arctic Clouds Download a printable PDF Submitter: Harrington, J. Y., Pennsylvania State University Avramov, A., Columbia University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Avramov A and JY Harrington. 2010. "Influence of parameterized ice habit on simulated mixed phase Arctic clouds." Journal of Geophysical Research - Atmospheres, 115, D03205,

  19. Research Highlight

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    Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Berg LK, EI Kassianov, CN Long, and DL Mills. 2011. "Surface summertime radiative forcing by shallow cumuli at the ARM SGP." Journal of Geophysical Research - Atmospheres, 116, D01202, 10.1029/2010JD014593. Histogram of hourly average shortwave

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    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,

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    Development and Recent Evaluation of the MT_CKD Model of Continuum Absorption Download a printable PDF Submitter: Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi:

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    3 ARM 2003 Tom Ackerman Chief Scientist Tom Ackerman Chief Scientist ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement WARNING! WARNING! Today is April 1 But that has NO bearing on this message Today is April 1 But that has NO bearing on this message ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement Two Topics Two Topics * Status of ARM (quick overview) * Science plan - ARM in the next 5 years * Status of ARM (quick overview) * Science plan -

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    Events Below are upcoming events related to wind energy technology. December 2015 Wind and Water Power Small Business Voucher Open House December 2, 2015, 9:00 - 1:00 MST Boulder,...

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    In Situ Validation of a Correction for Time-Lag and Bias Errors in Vaisala RS80-H Radiosonde Humidity Measurements L. M. Miloshevich National Center for Atmospheric Research Boulder, Colorado H. Vömel and S. J. Oltmans National Oceanic and Atmospheric Administration Boulder, Colorado A. Paukkunen Vaisala Oy Helsinki, Finland Introduction Radiosonde relative humidity (RH) measurements are fundamentally important to Atmospheric Radiation Measurement (ARM) Program goals because they are used in a

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    Development of the NCAR/ARM Multiple Antenna Wind Profiler (MAPR) S. A. Cohn, M. Susedik, and C. L. Martin NCAR-Atmospheric Technology Division Boulder, Colorado C. L. Holloway NTIA-Institute for Telecommunication Science Boulder, Colorado R. J. Doviak NOAA-National Severe Storm Laboratory Norman, Oklahoma Introduction The National Center for Atmospheric Research (NCAR)/ Atmospheric Radiation Measurement (ARM) Multiple Antenna Profiler (MAPR) (Figure 1) is being developed to test the application

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    Contrasting ARM's SRB Measurements with Six SURFRAD Stations J. J. DeLuisi and J. A. Augustine National Oceanic and Atmospheric Administration Boulder, Colorado C. Cornwall and G. Hodges National Oceanic and Atmospheric Administration Cooperative Institute for Research in the Environmental Sciences University of Colorado Boulder, Colorado Introduction The Surface Radiation Budget Network (SURFRAD) was established in 1993 by the National Oceanic and Atmospheric Administration's (NOAA's) Air

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    Effect of Cumulus Cloud Formation on Boundary Layer Turbulence A. S. Frisch, B. E. Martner, and B. W. Orr National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. H. Lenschow National Center for Atmospheric Research Boulder, Colorado Introduction The National Oceanic and Atmospheric Administration's (NOAA's) 35-GHz Doppler radar measured the turbulent motions in the planetary boundary layer (PBL) over the boreal forest as a contribution to the

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    Radar/Radiometer Retrievals of Stratus Cloud Liquid Water Content Profiles with In Situ Measurements by Aircraft A. S. Frisch Cooperative Institute for Research in the Atmosphere Colorado State University Boulder, Colorado B. E. Martner National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado I. Djalalova Science Technology Corporation Albuquerque, New Mexico M. R. Poellot Department of Atmospheric Sciences University of North Dakota Grand Forks,

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    An Integrated Column Description of the Atmosphere An Integrated Column Description of the Atmosphere Tom Ackerman Chief Scientist Tom Ackerman Chief Scientist ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement Pacific Northwest National Laboratory Pacific Northwest National Laboratory The "other" Washington ARM ARM Atmospheric Radiation Measurement Atmospheric Radiation Measurement Credits to Credits to * Ric Cederwall * Xiquan Dong * Chuck Long * Jay Mace *

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    Radiation Measurement) Program (Conference) | SciTech Connect Conference: Overview of the United States Department of Energy's ARM (Atmospheric Radiation Measurement) Program Citation Details In-Document Search Title: Overview of the United States Department of Energy's ARM (Atmospheric Radiation Measurement) Program The Department of Energy (DOE) is initiating a major atmospheric research effort, the Atmospheric Radiation Measurement Program (ARM). The program is a key component of DOE's

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    Geoscience Bioscience Computing and Information Science Electromagnetics Engineering Science Geoscience Materials Science Nanodevices and Microsystems Radiation Effects and High Energy Density Science Research Geoscience Geoscience photo The Geoscience Research Foundation performs recognized world-class earth and atmospheric sciences research and development to support Sandia's national security missions. Why our work matters Knowledge of the Earth's subsurface properties, structure and

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    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,

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    Various Processing Techniques for 915-MHz Profiler Winds L. M. Hartten, B. A. Bessenbacher, and P. E. Johnston Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Aeronomy Laboratory Boulder, Colorado A. B. White Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado W.O.J. Brown National

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    Estimations of Cirrus Particle Fall Velocity-Size Relations from Radar Measurements S. Y. Matrosov Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado A. J. Heymsfield National Center for Atmospheric Research Boulder, Colorado Introduction The representation of high-altitude ice clouds such as cirrus in general circulation models (GCMs) remains to be one of the

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    Oxygen detected in atmosphere of Saturn's moon Dione Oxygen detected in atmosphere of Saturn's moon Dione Scientists and an international research team have announced discovery of molecular oxygen ions in the upper-most atmosphere of Dione. March 3, 2012 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

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    Diagnosing Raindrop Evaporation, Breakup, and Coalescence in Vertical Radar Observations PI Contact: Williams, C. R., University of Colorado Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Williams CR. 2016. "Reflectivity and Liquid Water Content Vertical Decomposition Diagrams to Diagnose Vertical Evolution of Raindrop Size Distributions." Journal of Atmospheric and Oceanic Technology, 33(3), doi: 10.1175/jtech-d-15-0208.1. Example of

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    Microphysical Piggybacking: Understanding the Coupling Between Cloud Dynamics and Microphysics PI Contact: Grabowski, W., NCAR Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Grabowski WW. 2014. "Extracting microphysical impacts in large-eddy simulations of shallow convection." Journal of the Atmospheric Sciences, 71(12), 10.1175/JAS-D-14-0231.1. Grabowski WW. 2015. "Untangling microphysical

  3. Research Highlight

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    Regime Dependence of Cloud Water Variability Observed at the ARM Sites PI Contact: Ahlgrimm, M., European Centre for Medium-Range Weather Forecasts Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Ahlgrimm M and RM Forbes. 2016. "Regime dependence of cloud condensate variability observed at the Atmospheric Radiation Measurement sites." Quarterly Journal Royal Meteorological Society, ,

  4. Research Highlight

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    What Controls the Vertical Extent of Continental Shallow Cumulus? Download a printable PDF Submitter: Zhang, Y., Lawrence Livermore National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Zhang Y and SA Klein. 2013. "Factors controlling the vertical extent of fair-weather shallow cumulus clouds over land: investigation of diurnal-cycle observations collected at the ARM Southern Great Plains site." Journal of the Atmospheric Sciences,

  5. Research Highlight

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    An Application of Linear Programming Techniques to ARM Polarimetric Radar Processing Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Giangrande SE, R McGraw, and L Lei. 2013. "An application of linear programming to polarimetric radar differential phase processing." Journal of Atmospheric and Oceanic Technology, , . ACCEPTED. C-band scanning ARM precipitation radar

  6. Research Highlight

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    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

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    Determining the Future of CO2 Using an Earth System Model Download a printable PDF Submitter: Keppel-Aleks, G., University of Michigan Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Aerosol Life Cycle Journal Reference: Keppel-Aleks G, JT Randerson, K Lindsay, BB Stephens, JK Moore, SC Doney, PE Thornton, NM Mahowald, FM Hoffman, C Sweeney, PP Tans, PO Wennberg, and SC Wofsy. 2013. "Atmospheric carbon dioxide variability in the Community

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    Does Glyoxal Contribute Significantly to Regional SOA Formation? Download a printable PDF Submitter: Knote, C., Atmospheric Chemistry Division Hodzic, A., NCAR Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Knote C, A Hodzic, J Jimenez, R Volkamer, JJ Orlando, S Baidar, J Brioude, J Fast, DR Gentner, AH Goldstein, PL Hayes, BW Knighton, H Oetjen, A Setyan, H Stark, R Thalman, G Tyndall, R Washenfelder, E Waxman, and Q Zhang. 2014. "Simulation of

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    Satellite Inference of Thermals and Cloud Base Updraft Speeds Download a printable PDF Submitter: Zheng, Y., University of Maryland Area of Research: Vertical Velocity Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Zheng Y, D Rosenfeld, and Z Li. 2015. "Satellite inference of thermals and cloud base updraft speeds based on retrieved surface and cloud base temperatures." Journal of the Atmospheric Sciences, , . ONLINE. Validation of satellite-estimated

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    Sticky Thermals: Evidence for a Dominant Balance Between Buoyancy and Drag in Cloud Updrafts Download a printable PDF Submitter: Romps, D., Lawrence Berkeley National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Romps DM and AB Charn. 2015. "Sticky thermals: Evidence for a dominant balance between buoyancy and drag in cloud updrafts." Journal of the Atmospheric Sciences, , doi:10.1175/JAS-D-15-0042.1. ONLINE. Hill's vortex (shown

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    Three-Dimensional Constrained Variational Analysis: Approach and Application Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Tang S and M Zhang. 2015. "Three-dimensional constrained variational analysis: Approach and application to analysis of atmospheric diabatic heating and derivative fields during an ARM SGP intensive observational period." Journal of Geophysical

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    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

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    Good Is Not Enough: Improving Measurements of Atmospheric Particles Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kassianov E, LK Berg, M Pekour, J Barnard, D Chand, C Flynn, M Ovchinnikov, A Sedlacek, B Schmid, J Shilling, J Tomlinson, and J Fast. 2015. "Airborne aerosol in situ measurements during TCAP: A closure study of total scattering."

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    Self-Regulation Strikes a Balance Between Hydrological Cycle, Radiation Processes, and Intraseasonal Dynamic Variations Submitter: Stephens, G. L., Colorado State University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Stephens, Graeme L., Webster, Peter J., Johnson, Richard H., Engelen, Richard, L'Ecuyer, Tristan. 2004: Observational Evidence for the Mutual Regulation of the Tropical Hydrological Cycle and Tropical

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    Correction Method for Infrared Detector Confirmed; Error in Clear Sky Bias Condition Remains Unresolved Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: N/A AERI data from January 2004 at the ARM North Slope of Alaska locale shows the observed radiance for two AERI systems with significantly different hot blackbody temperatures. Residuals are within 1% of the ambient radiance

  16. Research Highlight

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    Radiative and Thermodynamic Responses to Uncertainty in Aerosol Extinction Profiles Download a printable PDF Submitter: Feng, Y., Argonne National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Feng Y, R Kotamarthi, R Coulter, C Zhao, and M Cadeddu. 2016. "Radiative and Thermodynamic Responses to Aerosol Extinction Profiles during the Pre-monsoon Month over South Asia." Atmospheric Chemistry and Physics, 16(1), 247-264. WRF-Chem

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    Exploring Stratocumulus Cloud-Top Entrainment Processes and Parameterizations by Using Doppler Download a printable PDF Submitter: Albrecht, B. A., University of Miami Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Albrecht B, M Fang, and V Ghate. 2016. "Exploring Stratocumulus Cloud-Top Entrainment Processes and Parameterizations by Using Doppler Cloud Radar Observations." Journal of the Atmospheric Sciences, 73(2), 10.1175/JAS-D-15-0147.1.

  18. Research Highlight

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    General Formulation for Representing Cloud-to-Rain Transition in Atmospheric Models Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Aerosol, Cloud Modeling, Cloud Properties Journal Reference: Liu, Y., P. H. Daum, R. McGraw, M. Miller, and S. Niu, 2007: Theoretical formulation for autoconversion rate of cloud droplet concentration. Geophys. Res. Lett., 34, L116821, doi:10.1029/2007GL030389

  19. Research Highlight

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    Integrated Water Vapor and Cloud Liquid Water at MCTEX Submitter: Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Integrated water vapor and cloud liquid water measurements were obtained during the Maritime Continent Thunderstorm Experiment (MCTEX) by Eugene Clothiaux and Tom Ackerman of Penn State University using an ARM

  20. Research Highlight

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    Study Aerosol Humidity Effects Using the ARM Measurements Submitter: Li, Z., University of Maryland Area of Research: Radiation Processes Working Group(s): Aerosol Journal Reference: Jeong, M.-J., Z. Li, E. Andrews, and S.-C. Tsay (2007). Effect of aerosol humidification on the column aerosol optical thickness over the Atmospheric Radiation Measurement Southern Great Plains site, J. Geophys. Res., 112, D10202, doi:10.1029/2006JD007176. (a)-(j) Column-mean aerosol humidification factor as

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    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

  2. Research Highlight

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    a Cloud-Resolving Model to Identify the Role of Aerosols on Clouds and Precipitation Download a printable PDF Submitter: GSFC, N., NASA GSFC Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol, Cloud Modeling Journal Reference: Tao, W.-K., X. Li, A. Khain, T. Matsui, S. Lang, and J. Simpson, 2007: The role of atmospheric aerosol concentration on deep convective precipitation: Cloud-resolving model simulations. J. Geophy. Res., (accepted). Zeng, X., W.-K. Tao, S.

  3. Research Highlight

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    ARM QCRad Goes Global Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Long, CN, and Y Shi. 2008. "An automated quality assessment and control algorithm for surface radiation measurements." The Open Atmospheric Science Journal 2: 23-37, doi: 10.2174/1874282300802010023. Figure: QCRad downwelling (top) and upwelling (bottom) longwave (LW) comparison

  4. Research Highlight

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    Cloud Susceptibility Measures Potential Cloud Sensitivity to First Aerosol Indirect Effect Download a printable PDF Submitter: Oreopoulos, L., NASA Platnick, S., NASA - Goddard Space Flight Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Platnick, S, and L Oreopoulos. 2008. "Radiative susceptibility of cloudy atmospheres to droplet number perturbations: 1. Theoretical analysis and examples from MODIS." Journal of

  5. Research Highlight

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    Estimating Fractional Sky Cover from Spectral Measurements Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Min, Q., State University of New York, Albany Wang, T., State University of New York, Albany Duan, M., Institute of Atmospheric Physics/Chinese Academy of Science Area of Research: Cloud Distributions/Characterizations Working Group(s): Radiative Processes Journal Reference: Min Q, T Wang, CN Long, and M Duan. 2008. "Estimating fractional sky

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    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

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    Investigating Water Vapor Variability by Ground-Based Microwave Radiometry Download a printable PDF Submitter: Kneifel, S., McGill University Crewell, S., University of Cologne Loehnert, U., University of Cologne Schween, J. H., Inst. of Geophysics and Meteorology Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: Kneifel S, S Crewell, U Löhnert, and J Schween. 2009. "Investigating water vapor variability by

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    Black Carbon Aerosols and the Third Polar Ice Cap Submitter: Menon, S., Lawrence Berkeley National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Menon S, D Koch, G Beig, S Sahu, J Fasullo, and D Orlikowski. 2009. "Black carbon aerosols and the third polar ice cap." Atmospheric Chemistry and Physics, 9, 26593-26625. Recent thinning of glaciers over the Himalayas (sometimes referred to as

  9. Research Highlight

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    Ice Nucleation Link to Aerosols for Global Models Download a printable PDF Submitter: DeMott, P. J., Colorado State University Liu, X., University of Wyoming Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: DeMott PJ, AJ Prenni, X Liu, SM Kreidenweis, MD Petters, CH Twohy, MS Richardson, T Eidhammer, and DC Rogers. 2010. "Predicting global atmospheric ice nuclei distributions and their impacts on

  10. Research Highlight

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    Increased Accuracy for Sky Imager Retrievals Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Long CN. 2010. "Correcting for circumsolar and near-horizon errors in sky cover retrievals from sky images." The Open Atmospheric Science Journal, 4, doi:10.2174/1874282301004010045. Long CN, JM Sabburg, J Calbo, and D Pages. 2006. "Retrieving

  11. Research Highlight

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

    Comparison of Arctic Clouds Between ECMWF Simulations and ARM Observations at the NSA Download a printable PDF Submitter: Zhao, M., National Oceanic and Atmospheric Administration Wang, Z., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Figure 1: Monthly-averaged vertical distribution of cloud fraction from the observation (a) and the ECMWF model (b), and their differences (c). Both

  12. Research Highlight

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

    New Surface Albedo Data Set Enables Improved Radiative Transfer Calculations Download a printable PDF Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: McFarlane SA, K Gaustad, E Mlawer, C Long, and J Delamere. 2011. "Development of a high spectral resolution surface albedo product for the ARM Southern Great Plains central facility." Atmospheric Measurement Techniques, 4, 1713-1733. Time

  13. Research Highlight

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

    Cloud-Top Humidity Inversions and the Maintenance of Arctic Mixed-Phase Stratocumulus Submitter: Solomon, A., NOAA/ESRL/Physical Sciences Division Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Solomon A, MD Shupe, O Persson, and H Morrison. 2011. "Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion." Atmospheric

  14. Research Highlight

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

    TOA Radiation Budget of Convective Core/Stratiform Rain/Anvil Clouds from Deep Convection Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Dong, X., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, XQ Dong, BK Xi, C Schumacher, P Minnis, and M Khaiyer. 2011. "Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep

  15. Research Highlight

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

    Simulating the Impact of Aerosols on Tropical Deep Convection Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Morrison H and WW Grabowski. 2011. "Cloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment." Atmospheric Chemistry and Physics, 11(20),

  16. 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

  17. Research Highlight

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

    Mexico City Carbon-Containing Particle Composition Simulated Download a printable PDF Submitter: Zaveri, R., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Lee-Taylor J, S Madronich, B Aumont, M Camredon, A Hodzic, GS Tyndall, E Aperl, and RA Zaveri. 2012. "Explicit modeling of organic chemistry and secondary organic aerosol partitioning for Mexico City and its outflow plume." Atmospheric Chemistry and

  18. Research Highlight

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

    Looking at the Full Spectrum for Water Vapor Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Mlawer EJ, VH Payne, J Moncet, JS Delamere, MJ Alvarado, and DD Tobin. 2012. "Development and recent evaluation of the MT_CKD model of continuum absorption." Philosophical Transactions of The Royal Society A, 370, doi:

  19. Research Highlight

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

    Madden-Julian Oscillation Heating: to Tilt or Not to Tilt Download a printable PDF Submitter: Schumacher, C., Texas A&M University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Lappen C and C Schumacher. 2014. "The role of tilted heating in the evolution of the MJO." Journal of Geophysical Research - Atmospheres, , 10.1002/2013JD020638. ACCEPTED. In this figure, November through April wavenumber frequency spectrum of OLR (colors) and 850

  20. Research Highlight

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

    Validation of CERES-MODIS Cloud Retrievals Using the Azores Data Download a printable PDF Submitter: Dong, X., University of North Dakota Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Xi B, P Minnis, and S Sun-Mack. 2014. "Comparison of marine boundary layer cloud properties from CERES-MODIS edition 4 and DOE ARM AMF measurements at the Azores." Journal of Geophysical Research - Atmospheres, 119, doi:10.1002/2014JD021813. Figure 1. The ARM

  1. 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

  2. Research Highlight

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

    Remote Sensing of Mineral Dust Using AERI Download a printable PDF Submitter: Hansell, R. A., University of California, Los Angeles Area of Research: Radiation Processes Working Group(s): Aerosol Journal Reference: Hansell R, KN Liou, SC Ou, SC Tsay, Q Ji, and JS Reid. 2008. "Remote sensing of mineral dust aerosol using AERI during the UAE2: A modeling and sensitivity study." Journal of Geophysical Research - Atmospheres, 113, D18202, doi:10.1029/2008JD010246. BT sensitivity to dust

  3. 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

  4. Research Highlight

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

    The Short and the Long of Storms: Tracing a Deep Convective System's Life in the Midlatitude Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, X Dong, B Xi, S McFarlane, A Kennedy, B Lin, and P Minnis. 2012. "Life cycle of midlatitude deep convective systems in a Lagrangian framework." Journal of Geophysical Research - Atmospheres, 117(D23), D23201,

  5. Ensemble Atmospheric Dispersion Modeling

    SciTech Connect (OSTI)

    Addis, R.P.

    2002-06-24

    Prognostic atmospheric dispersion models are used to generate consequence assessments, which assist decision-makers in the event of a release from a nuclear facility. Differences in the forecast wind fields generated by various meteorological agencies, differences in the transport and diffusion models, as well as differences in the way these models treat the release source term, result in differences in the resulting plumes. Even dispersion models using the same wind fields may produce substantially different plumes. This talk will address how ensemble techniques may be used to enable atmospheric modelers to provide decision-makers with a more realistic understanding of how both the atmosphere and the models behave.

  6. Atmospheric optical calibration system

    DOE Patents [OSTI]

    Hulstrom, Roland L. (Bloomfield, CO); Cannon, Theodore W. (Golden, CO)

    1988-01-01

    An atmospheric optical calibration system is provided to compare actual atmospheric optical conditions to standard atmospheric optical conditions on the basis of aerosol optical depth, relative air mass, and diffuse horizontal skylight to global horizontal photon flux ratio. An indicator can show the extent to which the actual conditions vary from standard conditions. Aerosol scattering and absorption properties, diffuse horizontal skylight to global horizontal photon flux ratio, and precipitable water vapor determined on a real-time basis for optical and pressure measurements are also used to generate a computer spectral model and for correcting actual performance response of a photovoltaic device to standard atmospheric optical condition response on a real-time basis as the device is being tested in actual outdoor conditions.

  7. Atmospheric optical calibration system

    DOE Patents [OSTI]

    Hulstrom, R.L.; Cannon, T.W.

    1988-10-25

    An atmospheric optical calibration system is provided to compare actual atmospheric optical conditions to standard atmospheric optical conditions on the basis of aerosol optical depth, relative air mass, and diffuse horizontal skylight to global horizontal photon flux ratio. An indicator can show the extent to which the actual conditions vary from standard conditions. Aerosol scattering and absorption properties, diffuse horizontal skylight to global horizontal photon flux ratio, and precipitable water vapor determined on a real-time basis for optical and pressure measurements are also used to generate a computer spectral model and for correcting actual performance response of a photovoltaic device to standard atmospheric optical condition response on a real-time basis as the device is being tested in actual outdoor conditions. 7 figs.

  8. 1

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

    Air-Sea Temperatures Measured With Scanning Microwave and Infrared Radiometers in Nauru99 J. A. Shaw and J. H. Churnside National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado E. R. Westwater and Y. Han Cooperative Institute for Research in the Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. Cimini University of L'Aquila Coppito L'Aquila, Italy

  9. 1

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

    An Empirical Approach to Aerosol Model Development for Radiative Transfer Calculations A. M. Payton and E. Andrews Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder, Colorado A. M. Payton, J. A. Ogren, E. G. Dutton, J. M. Harris, and E. Andrews Climate Monitoring and Diagnostics Laboratory National Oceanic Atmospheric Administration Boulder, Colorado P. K. Quinn Pacific Marine Environmental Laboratory National Oceanic and Atmospheric Administration

  10. 1

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

    Direct Aerosol Forcing: Calculation from Observables and Sensitivities to Inputs A. McComiskey Cooperative Institute for Research in the Environmental Sciences University of Colorado Boulder, Colorado and Climate Monitoring and Diagnostics Laboratory National Oceanic and Atmospheric Administration Boulder, Colorado S.E. Schwartz and E.R. Lewis Brookhaven National Laboratory Atmospheric Sciences Division Upton, New York P. Ricchiazzi Institute for Computational Earth System Science University of

  11. 1

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

    Arctic Mixed-Phase Cloud Properties Derived from Surface-Based Sensors M.D. Shupe and S.Y. Matrosov Cooperative Institute for Research in Environmental Sciences University of Colorado/National Oceanic and Atmospheric Administration Boulder, Colorado T. Uttal National Oceanic and Atmospheric Administration/Environmental Technology Laboratory Boulder, Colorado Introduction Mixed-phase clouds are an understudied component of global cloudiness and are thus poorly represented in models at all scales,

  12. Nauru'99: Scaling of Radiosondes by

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

    Nauru 99: Scaling of Radiosondes by Microwave Radiometers E. R. Westwater and Y. Han Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado B. B. Stankov and J. A. Shaw National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. Cimini University of L' Aquila L' Aquila, Italy B. M. Lesht Argonne National Laboratory

  13. matrosov-98.pdf

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

    Intercomparisons Between Remote and In Situ Measurements of Ice Cloud Microphysics During the Spring 1997 Cloud IOP S. Y. Matrosov and B. E. Martner National Oceanic and Atmospheric Administration Boulder, Colorado A. J. Heymsfield National Center for Atmospheric Research Boulder, Colorado G. G. Mace University of Utah Salt Lake City, Utah M. R. Poellot University of North Dakota Grand Forks, North Dakota Introduction The spring 1997 Cloud Intensive Observation Period (IOP) was conducted at the

  14. 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 ...

  15. Atmospheric Science: Solving Challenges of Climate Change

    SciTech Connect (OSTI)

    Geffen, Charlette

    2015-08-05

    PNNL’s atmospheric science research provides data required to make decisions about challenges presented by climate change: Where to site power plants, how to manage water resources, how to prepare for severe weather events and more. Our expertise in fundamental observations and modeling is recognized among the national labs and the world.

  16. ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology

    Office of Scientific and Technical Information (OSTI)

    (ASSIST): channel 2 data (Dataset) | Data Explorer channel 2 data Title: ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): channel 2 data Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): channel 2 data Authors: Albert Mendoza ; Connor Flynn Publication Date: 2012-12-07 OSTI Identifier: 1095590 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM)

  17. ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology

    Office of Scientific and Technical Information (OSTI)

    (ASSIST): engineering data (Dataset) | Data Explorer engineering data Title: ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): engineering data Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): engineering data Authors: Albert Mendoza ; Connor Flynn Publication Date: 2012-12-07 OSTI Identifier: 1095591 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  18. ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology

    Office of Scientific and Technical Information (OSTI)

    (ASSIST): summary data (Dataset) | Data Explorer summary data Title: ARM: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): summary data Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): summary data Authors: Albert Mendoza ; Connor Flynn Publication Date: 2012-12-07 OSTI Identifier: 1095592 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive,

  19. 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

  20. Research Highlight

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

    Study Proposes New Scheme to Characterize Land-Atmosphere Interactions and Improve Climate Models Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Liu G, Y Liu, and S Endo. 2013. "Evaluation of surface flux parameterizations with long-term ARM observations." Monthly Weather Review, 141(2), doi:10.1175/MWR-D-12-00095.1. One of the three

  1. Research Highlight

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

    New Method Simulates 3D Ice Crystal Growth Within Clouds Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Harrington JY, K Sulia, and H Morrison. 2013. "A method for adaptive habit prediction in bulk microphysical models. Part I: theoretical development." Journal of the Atmospheric Sciences, 70(2), doi:10.1175/JAS-D-12-040.1. Harrington JY, K Sulia, and H Morrison. 2013.

  2. Research Highlight

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

    Automated Rain Rate Estimates Using the Ka-band ARM Zenith Radar (KAZR) Submitter: Chandra, A. S., McGill University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Chandra A, C Zhang, P Kollias, S Matrosov, and W Szyrmer. 2015. "Automated rain rate estimates using the Ka-band ARM Zenith Radar (KAZR)." Atmospheric Measurement Techniques, 8(1-15), doi:10.5194/amt-8-1-2015. ACCEPTED. Scatter plots of rain rates (R) observed from a video

  3. Research Highlight

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

    Dust in the Wind... and the Clouds... and the Atmosphere Submitter: Sassen, K., University of Alaska, Fairbanks Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Sassen, K., P.J. DeMott, J.M. Propsero, and M.R. Poellot, Saharan Dust Storms and Indirect Aerosol Effects on Clouds: CRYSTAL-FACE Results, Geophys. Res. Ltt., 30(12), 1633, doi:10/1029/2003GL017371, 2003. PDL linear depolarization ratio (color scale on top) and relative returned power (in gray scale) of

  4. Research Highlight

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

    Deciphering Raindrop Collisions with Dual-polarization Radar Download a printable PDF Submitter: Kumjian, M., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Kumjian MR and OP Prat. 2014. "The impact of raindrop collisional processes on the polarimetric radar variables." Journal of the Atmospheric Sciences, 71(8), doi:10.1175/JAS-D-13-0357.1. (a) Changes in ZDR as a function

  5. Research Highlight

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

    Island-Induced Cloud Plumes Influence Tropical Atmospheric Measurements, Surface Radiation Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: McFarlane, S.A., Long, C.N., and Flynn, D., Nauru Island Effect Study, Fourteenth ARM Science Team Meeting, March 22 to 26, 2004, Albuquerque, New Mexico. Nauru Island, about 1,200 miles northeast of Papua New Guinea in the western South Pacific, is one of

  6. Research Highlight

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

    Evaluation of Subgrid-Scale Hydrometeor Transport Using a High-Resolution CRM Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wong M, M Ovchinnikov, and M Wang. 2015. "Evaluation of subgrid-scale hydrometeor transport schemes using a high-resolution cloud-resolving model." Journal of the Atmospheric Sciences, 72(9), doi:10.1175/JAS-D-15-0060.1. Clouds

  7. Research Highlight

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

    Storm Clouds Take Rain on Rollercoaster Ride Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wong M, M Ovchinnikov, and M Wang. 2015. "Evaluation of subgrid-scale hydrometeor transport schemes using a high-resolution cloud-resolving model." Journal of the Atmospheric Sciences, 72(9), doi:10.1175/JAS-D-15-0060.1. Strong updrafts within the cloud propel their

  8. Research Highlight

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

    Improving Entrainment Rate Parameterization Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Lu C, Y Liu, GJ Zhang, X Wu, S Endo, L Cao, Y Li, and X Guo. 2016. "Improving parameterization of entrainment rate for shallow convection with aircraft measurements and large-eddy simulations." Journal of the Atmospheric Sciences, 73(2), doi:10.1175/JAS-D-15-0050.1. Relationships

  9. Research Highlight

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

    Quasi-Vertical Profiles - a New Way to Look at Polarimetric Radar Data PI Contact: Ryzhkov, A., National Severe Storms Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Ryzhkov A, P Zhang, H Reeves, M Kumjian, T Tschallener, S Trömel, and C Simmer. 2016. "Quasi-Vertical Profiles - A New Way to Look at Polarimetric Radar Data." Journal of Atmospheric and Oceanic Technology, 33(3), doi:10.1175/JTECH-D-15-0020.1. An example of composite

  10. Research Highlight

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

    Tests of Single-Column Models with ARM Data Submitter: Randall, D. A., Colorado State University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1 Figure 2 One of the primary goals of ARM is to collect observations that can be used to test models of cloud formation and radiative transfer in the atmosphere. One class of such models, called "single-column models," is designed to predict the

  11. Research Highlight

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

    Aerosol Effects on Liquid-Water Path of Thin Stratocumulus Clouds Download a printable PDF Submitter: Penner, J. E., University of Michigan Lee, S., University of Michigan Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: n/a Thin clouds with mean liquid-water path (LWP) of ~ 50 g m-2 cover 27.5% of the globe and thus play an important role in the Earth's radiation budget. Radiative fluxes at the Earth's surface and top of atmosphere (TOA) are very sensitive to

  12. Research Highlight

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

    Large-Scale Structures and Diabatic Heating and Drying Profiles Revealed by TWP-ICE Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Modeling Journal Reference: Xie S, T Hume, C Jakob, SA Klein, RB McCoy, and M Zhang. 2009. "Observed large-scale structures and diabatic heating and drying profiles during TWP-ICE." Journal of Climate, 23(1), . Analyzed vertical

  13. Research Highlight

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

    Preferred States of the Winter Arctic Atmosphere, Surface, and Sub-Surface Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Stramler K, AD Del Genio, and WB Rossow. 2011. "Synoptically driven Arctic winter states." Journal of Climate, 24(6), doi:10.1175/2010JCLI3817.1. SHEBA winter hourly surface net (down - up) longwave radiation flux versus

  14. Research Highlight

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

    Small Irregular Ice Crystals in Tropical Cirrus Download a printable PDF Submitter: McFarquhar, G., University of Illinois, Urbana Nousiainen, T. P., University of Helsinki Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Nousiainen T, H Lindqvist, GM McFarquhar, and J Um. 2011. "Small irregular ice crystals in tropical cirrus." Journal of the Atmospheric Sciences, 68(11), doi:10.1175/2011JAS3733.1. Examples of small

  15. Research Highlight

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

    Probing the Birth of New Particles Download a printable PDF Submitter: Wang, J., Brookhaven National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Chen M, M Titcombe, J Jiang, C Jen, C Kuang, ML Fischer, FL Eisele, I Siepmann, DR Hanson, J Zhao, and PH McMurry. 2012. "Acid-base chemical reaction model for nucleation rates in the polluted atmospheric boundary layer." Proceedings of the National Academy of Sciences, 109(46),

  16. Research Highlight

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

    More Like Shades of Gray: the Effects of Black Carbon in Aerosols Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Cappa CD, TB Onasch, P Massoli, DR Worsnop, TS Bates, ES Cross, P Davidovits, J Hakala, KL Hayden, BT Jobson, KR Kolesar, DA Lack, BM Lerner, SM Li, D Mellon, I Nuaaman, JS Olfert, T Petaja, PK Quinn, C Song, R Subramanian, EJ Williams, and RA Zaveri. 2012.

  17. Research Highlight

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

    Mingling in the Sky-A View from the Earth Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Madhavan BL, Y He, Y Wu, B Gross, F Moshary, and S Ahmed. 2012. "Development of a ground based remote sensing approach for direct evaluation of aerosol-cloud interaction." Atmosphere, 3(4), doi:10.3390/atmos3040468. Two different types of

  18. Measurements of the Infrared SpectraLines of Water Vapor at Atmospheric Temperatures

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

    Measurements of the Infrared Spectral Lines of Water Vapor at Atmospheric Temperatures P. Varanasi and Q. Zou Institute for Terrestrial and Planetary Atmospheres State University of New York at Stony Brook Stony Brook, New York Introduction Water vapor is undoubtedly the most dominant greenhouse gas in the terrestrial atmosphere. In the two facets of Atmospheric Radiation Measurement (ARM) Program research, atmospheric remote sensing (air-borne as well as Cloud and Radiation Testbed [CART]

  19. Research Highlight

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

    study with hematite particles and its application to atmospheric models." Atmospheric Chemistry and Physics, 14, 13145-13158. Reducing uncertainty in predicting climate change...

  20. Research Highlight

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

    Data from DOE Atmospheric Radiation Measurement Program Allows Evaluation of Surface ... DOE's AtmosphericRadiation Measurement (ARM) Program is contributing to this project-part ...

  1. Research Highlight

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

    which is often limited or unavailable," said Dr. Evgueni Kassianov, PNNL atmospheric scientist and lead author of the paper, which appears in the journal Atmosphere. "Our...

  2. Atmospheric Pressure Plasma Process And Applications

    SciTech Connect (OSTI)

    Peter C. Kong; Myrtle

    2006-09-01

    This paper provides a general discussion of atmospheric-pressure plasma generation, processes, and applications. There are two distinct categories of atmospheric-pressure plasmas: thermal and nonthermal. Thermal atmospheric-pressure plasmas include those produced in high intensity arcs, plasma torches, or in high intensity, high frequency discharges. Although nonthermal plasmas are at room temperatures, they are extremely effective in producing activated species, e.g., free radicals and excited state atoms. Thus, both thermal and nonthermal atmosphericpressure plasmas are finding applications in a wide variety of industrial processes, e.g. waste destruction, material recovery, extractive metallurgy, powder synthesis, and energy conversion. A brief discussion of recent plasma technology research and development activities at the Idaho National Laboratory is included.

  3. Differential atmospheric tritium sampler

    DOE Patents [OSTI]

    Griesbach, Otto A.; Stencel, Joseph R.

    1990-01-01

    An atmospheric tritium sampler is provided which uses a carrier gas comprised of hydrogen gas and a diluting gas, mixed in a nonexplosive concentration. Sample air and carrier gas are drawn into and mixed in a manifold. A regulator meters the carrier gas flow to the manifold. The air sample/carrier gas mixture is pulled through a first moisture trap which adsorbs water from the air sample. The mixture then passes through a combustion chamber where hydrogen gas in the form of H.sub.2 or HT is combusted into water. The manufactured water is transported by the air stream to a second moisture trap where it is adsorbed. The air is then discharged back into the atmosphere by means of a pump.

  4. Differential atmospheric tritium sampler

    DOE Patents [OSTI]

    Griesbach, O.A.; Stencel, J.R.

    1987-10-02

    An atmospheric tritium sampler is provided which uses a carrier gas comprised of hydrogen gas and a diluting gas, mixed in a nonexplosive concentration. Sample air and carrier gas are drawn into and mixed in a manifold. A regulator meters the carrier gas flow to the manifold. The air sample/carrier gas mixture is pulled through a first moisture trap which adsorbs water from the air sample. The moisture then passes through a combustion chamber where hydrogen gas in the form of H/sub 2/ or HT is combusted into water. The manufactured water is transported by the air stream to a second moisture trap where it is adsorbed. The air is then discharged back into the atmosphere by means of a pump.

  5. 1

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

    Rainfall Profiling Using ARM Millimeter Wavelength Cloud Radars SY Matrosov and MD Shupe Cooperative Institute for Research in Environmental Sciences University of Colorado and National Oceanic and Atmospheric Administration Earth System Research Laboratory Boulder, Colorado PD May Bureau of Meteorology Research Centre Melbourne, Australia Introduction The Atmospheric Radiation Measurement (ARM) Program Data Archive contains detailed vertically resolved radar measurements representing echoes

  6. Research Techniques

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

    Research Techniques Research Techniques Print Coming Soon

  7. Atmosphere to Electrons Initiative Takes Shape

    Broader source: Energy.gov [DOE]

    Since DOE launched its Atmosphere to Electrons (A2e) Initiative last July, the A2e executive committee has been developing a comprehensive approach for working with multiple stakeholders (industry, national laboratories, international experts, and universities) over the next 5- to 7 years. In February, they held an external merit review to lay the groundwork for an A2e multi-year strategic research plan.

  8. 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...

  9. brown-99.PDF

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

    NCAR/ARM Multiple Antenna Profiler W.O.J. Brown, S. A. Cohn, M. E. Susedik, C. L. Martin, G. Maclean, and D. B. Parsons National Center for Atmospheric Research Atmospheric Technology Division Boulder, Colorado Introduction National Center for Atmospheric Research/Atmospheric Technology Division (NCAR/ATD), with the support of the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program, is developing an advanced wind profiler radar known as Multiple Antenna Profiler Radar

  10. Analyzing Atmospheric Neutrino Oscillations

    SciTech Connect (OSTI)

    Escamilla, J.; Ernst, D. J.; Latimer, D. C.

    2007-10-26

    We provide a pedagogic derivation of the formula needed to analyze atmospheric data and then derive, for the subset of the data that are fully-contained events, an analysis tool that is quantitative and numerically efficient. Results for the full set of neutrino oscillation data are then presented. We find the following preliminary results: 1.) the sub-dominant approximation provides reasonable values for the best fit parameters for {delta}{sub 32}, {theta}{sub 23}, and {theta}{sub 13} but does not quantitatively provide the errors for these three parameters; 2.) the size of the MSW effect is suppressed in the sub-dominant approximation; 3.) the MSW effect reduces somewhat the extracted error for {delta}{sub 32}, more so for {theta}{sub 23} and {theta}{sub 13}; 4.) atmospheric data alone constrains the allowed values of {theta}{sub 13} only in the sub-dominant approximation, the full three neutrino calculations requires CHOOZ to get a clean constraint; 5.) the linear in {theta}{sub 13} terms are not negligible; and 6.) the minimum value of {theta}{sub 13} is found to be negative, but at a statistically insignificant level.

  11. Atmospheric Emitted Radiance Interferometer

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

    Gero, Jonathan; Ermold, Brian; Gaustad, Krista; Koontz, Annette; Hackel, Denny; Garcia, Raymond

    2005-01-01

    The atmospheric emitted radiance interferometer (AERI) is a ground-based instrument that measures the downwelling infrared radiance from the Earth’s atmosphere. The observations have broad spectral content and sufficient spectral resolution to discriminate among gaseous emitters (e.g., carbon dioxide and water vapor) and suspended matter (e.g., aerosols, water droplets, and ice crystals). These upward-looking surface observations can be used to obtain vertical profiles of tropospheric temperature and water vapor, as well as measurements of trace gases (e.g., ozone, carbon monoxide, and methane) and downwelling infrared spectral signatures of clouds and aerosols. The AERI is a passive remote sounding instrument, employing a Fourier transform spectrometer operating in the spectral range 3.3–19.2 μm (520–3020 cm-1) at an unapodized resolution of 0.5 cm-1 (max optical path difference of 1 cm). The extended-range AERI (ER-AERI) deployed in dry climates, like in Alaska, have a spectral range of 3.3–25.0 μm (400–3020 cm-1) that allow measurements in the far-infrared region. Typically, the AERI averages views of the sky over a 16-second interval and operates continuously.

  12. Atmospheric Radiation Measurement Radiative Atmospheric Divergence using ARM Mobile

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

    Future Directions of the ARM Science Program (Technical Report) | SciTech Connect Atmospheric Radiation Measurement Program Science Plan. Current Status and Future Directions of the ARM Science Program Citation Details In-Document Search Title: Atmospheric Radiation Measurement Program Science Plan. Current Status and Future Directions of the ARM Science Program The Atmospheric Radiation Measurement (ARM) Program has matured into one of the key programs in the U.S. Climate Change Science

  13. 1

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

    Four Years of Continuous Surface Aerosol Measurements from the DOE/ARM Southern Great Plains CART Site P. J. Sheridan, D. J. Delene, and J. A. Ogren Climate Monitoring and Diagnostics Laboratory National Oceanic and Atmospheric Administration Boulder, Colorado D. J. Delene Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder, Colorado Introduction Continuous measurements of the optical and microphysical properties of aerosol particles have been made at the

  14. 1

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

    SGPGET: AN SBDART Module for Aerosol Radiative Transfer A. McComiskey Cooperative Institute for Research in the Environmental Sciences University of Colorado Boulder, Colorado and Climate Monitoring and Diagnostics Laboratory National Oceanic and Atmospheric Administration Boulder, Colorado P. Ricchiazzi Institute for Computational Earth System Science University of California Santa Barbara, California J.A. Ogren and E. Dutton Climate Monitoring and Diagnostics Laboratory National Oceanic and

  15. 1

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

    Current Parameterization of Mixed-Phase Clouds using In Situ Profiles Measured During the Mixed Phase Cloud Experiment G.M. McFarquhar and G. Zhang University of Illinois Urbana, Illinois J. Verlinde Pennsylvania State University University Park, Pennsylvania M. Poellot University of North Dakota Grand Forks, North Dakota A. Heymsfield National Center for Atmospheric Research Boulder, Colorado G. Kok Droplet Measurement Technologies Boulder Colorado Introduction General circulation models (GCMs)

  16. Hierarchical Diagnosis

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

    Development of a Rad iative Cloud Parameterization Scheme of Stratocumulus and Stratus Clouds Which Includes the Impact of Cloud Condensation Nucleus on Cloud Albedo W. R. Cotton, G. L. Stephens, D. Duda, B. Stevens, and R. L. Walko Colorado State University Department of Atmospheric Science Fort Collins, CO G. Feingold Cooperative Institute for Research in Environmental Sciences University of Colorado, Boulder Boulder. CO 80309-0049 A three-dimensional (3-D) model for simulating the effect of

  17. The Advancing Date of Spring Snowmelt in the Alaskan Artic

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

    Advancing Date of Spring Snowmelt in the Alaskan Arctic R. S. Stone and D. Longenecker Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder, Colorado E. G. Dutton, J. M. Harris, and D. Longenecker National Oceanic and Atmospheric Administration Climate Monitoring and Diagnostics Laboratory Boulder, Colorado Abstract Since the mid-1960s the spring snowmelt has advanced by about 8 days in northern Alaska because of decreasing snowfall in winter and warmer

  18. Atmospheric dispersion in mountain valleys and basins

    SciTech Connect (OSTI)

    Allwine, K.J.

    1992-01-01

    The primary goal of the research is to further characterize and understand dispersion in valley and basin atmospheres. A secondary, and related goal, is to identify and understand the dominant physical processes governing this dispersion. This has been accomplished through a review of the current literature, and analyses of recently collected data from two field experiments. This work should contribute to an improved understanding of material transport in the atmospheric boundary layer. It was found that dispersion in a freely draining valley (Brush Creek valley, CO) atmosphere is much greater than in an enclosed basin (Roanoke, VA) atmosphere primarily because of the greater wind speeds moving past the release point and the greater turbulence levels. The development of a cold air pool in the Roanoke basin is the dominant process governing nighttime dispersion in the basin, while the nighttime dispersion in the Brush Creek valley is dominated by turbulent diffusion and plume confinement between the valley sidewalls. The interaction between valley flows and above ridgetops flows is investigated. A ``ventilation rate`` of material transport between the valley and above ridgetop flows is determined. This is important in regional air pollution modeling and global climate modeling. A simple model of dispersion in valleys, applicable through a diurnal cycle, is proposed.

  19. Atmospheric dispersion in mountain valleys and basins

    SciTech Connect (OSTI)

    Allwine, K.J.

    1992-01-01

    The primary goal of the research is to further characterize and understand dispersion in valley and basin atmospheres. A secondary, and related goal, is to identify and understand the dominant physical processes governing this dispersion. This has been accomplished through a review of the current literature, and analyses of recently collected data from two field experiments. This work should contribute to an improved understanding of material transport in the atmospheric boundary layer. It was found that dispersion in a freely draining valley (Brush Creek valley, CO) atmosphere is much greater than in an enclosed basin (Roanoke, VA) atmosphere primarily because of the greater wind speeds moving past the release point and the greater turbulence levels. The development of a cold air pool in the Roanoke basin is the dominant process governing nighttime dispersion in the basin, while the nighttime dispersion in the Brush Creek valley is dominated by turbulent diffusion and plume confinement between the valley sidewalls. The interaction between valley flows and above ridgetops flows is investigated. A ventilation rate'' of material transport between the valley and above ridgetop flows is determined. This is important in regional air pollution modeling and global climate modeling. A simple model of dispersion in valleys, applicable through a diurnal cycle, is proposed.

  20. Search for: "atmospheric radiation measurement" | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    "atmospheric radiation measurement" Find + Advanced Search Advanced Search All Fields: "atmospheric radiation measurement" Title: Full Text: Bibliographic Data: Creator ...

  1. Atmospheric Radiation Measurement Program

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

    July 1999 ARM Facilities Newsletter is published by Argonne National Laboratory, a multiprogram laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. Technical Contact: Douglas L. Sisterson Editor: Donna J. Holdridge SGP99 Hydrology Campaign Summer research efforts continue in July with the SGP99 Hydrology Campaign headed by the United States Department of Agriculture, Agricultural Research Service. Other participants are the National

  2. NETL SOFC: Atmospheric Pressure Systems

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

    Atmospheric Pressure Systems ATMOSPHERIC PRESSURE SYSTEMS (INDUSTRY TEAMS)-This key technology focuses on the design, scaleup, and integration of the SOFC technology, ultimately resulting in atmospheric-pressure modules suitable to serve as the building blocks for distributed-generation, commercial, and utility-scale power systems. Activities include fabrication, testing, post-test analysis of cells; integrating cells into stacks; and the development and validation testing of progressively

  3. ARM - Sources of Atmospheric Carbon

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

    Sources of Atmospheric Carbon 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 Sources of Atmospheric Carbon Atmospheric carbon represented a steady state system, where influx equaled outflow, before the Industrial Revolution. Currently, it is no longer a steady state system because the

  4. Technical Sessions B. E. Manner National Oceanic and Atmospheric Administration

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

    B. E. Manner National Oceanic and Atmospheric Administration Wave Propagation Laboratory 130ulder, CO 80303 The Atmospheric Radiation Measurement (ARM) pirog ram goals are ambitious, and its schedule is demanding. Many of the instruments, proposed for operations at the first Cloud and Radiation Testbed (CART) site as early alS 1992 represent emerging technology and exist only as :special research prototypes. Therefore, an important preparatory step for ARM was an intensive field project in

  5. PNNL: Atmospheric Sciences & Global Change Search for Staff

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

    Atmospheric Science & Global Change Search for Staff Search for an ASGC staff member (Last, First) Search Search for staff member by Group View Alphabetical List of all ASGC Staff (may take a moment to load) Atmospheric Sciences & Global Change ASGC Home Our Research Facilities Measurement Capabilities Modeling Expertise Staff & Organization Search Publications Job Opportunities Seminar Series Frontiers in Global Change Science at PNNL Home Journal Cover Gallery Search Site Search

  6. Unmanned Aerial Systems (UAS) Evaluation of Routine Atmospheric Sounding

    Office of Scientific and Technical Information (OSTI)

    Measurements using Unmanned Systems (ERASMUS) (Dataset) | Data Explorer Data Explorer Search Results Unmanned Aerial Systems (UAS) Evaluation of Routine Atmospheric Sounding Measurements using Unmanned Systems (ERASMUS) Title: Unmanned Aerial Systems (UAS) Evaluation of Routine Atmospheric Sounding Measurements using Unmanned Systems (ERASMUS) Data were collected to improve understanding of the Arctic troposphere, and to provide researchers with a focused case-study period for future

  7. 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

  8. New Atmospheric Profiling Instrument Added to SGP CART Suite

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

    3 New Atmospheric Profiling Instrument Added to SGP CART Suite A new atmospheric profiling instrument at the SGP CART site is giving researchers an additional useful data stream. The new instrument is a microwave radiometer profiler (MWRP) developed by Radiometrics Corporation. One ARM Program focus is improving the quality of simulations by global climate models, particularly models that deal with interactions between sunlight (solar radiation) and clouds. To support this improvement, ARM needs

  9. 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

  10. 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

  11. 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

  12. 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

  13. Atmospheric Radiation Measurement Program Facilities Newsletter - September 1999

    SciTech Connect (OSTI)

    Holdridge, D. J., ed

    1999-09-27

    The Atmospheric Radiation Measurement Program September 1999 Facilities Newsletter discusses the several Intensive Observation Periods (IOPs) that the ARM SGP CART site will host in the near future. Two projects of note are the International Pyrgeometer Intercomparison and the Fall Single Column Model (SCM)/Nocturnal Boundary Layer (NBL) IOP. Both projects will bring many US and international scientists to the SGP CART site to participate in atmospheric research.

  14. Polyport atmospheric gas sampler

    DOE Patents [OSTI]

    Guggenheim, S. Frederic

    1995-01-01

    An atmospheric gas sampler with a multi-port valve which allows for multi, sequential sampling of air through a plurality of gas sampling tubes mounted in corresponding gas inlet ports. The gas sampler comprises a flow-through housing which defines a sampling chamber and includes a gas outlet port to accommodate a flow of gases through the housing. An apertured sample support plate defining the inlet ports extends across and encloses the sampling chamber and supports gas sampling tubes which depend into the sampling chamber and are secured across each of the inlet ports of the sample support plate in a flow-through relation to the flow of gases through the housing during sampling operations. A normally closed stopper means mounted on the sample support plate and operatively associated with each of the inlet ports blocks the flow of gases through the respective gas sampling tubes. A camming mechanism mounted on the sample support plate is adapted to rotate under and selectively lift open the stopper spring to accommodate a predetermined flow of gas through the respective gas sampling tubes when air is drawn from the housing through the outlet port.

  15. 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.

  16. City of Boulder- Solar Grant Program

    Broader source: Energy.gov [DOE]

    The Solar Grant Program provides grants for PV and solar water heating installations on housing enrolled in the city's affordable housing program, site-based non-profit organizations, and low- to...

  17. Science DMZ Implemented at CU Boulder

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

    CU Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ @ UF Science DMZ @ CU ...

  18. Science DMZ Implemented at CU Boulder

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

    CU Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ @ UF Science DMZ @ CU Science DMZ @ Penn & VTTI Science DMZ @ NOAA Science DMZ @ NERSC Science DMZ @ ALS Multi-facility Workflow Case Study Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site

  19. 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

  20. Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research...

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

    Ames: Phil Russell, Jens Redemann, NASA Ames: Phil Russell, Jens Redemann, Steve Dunagan, ... Evgueni Kassianov Evgueni Kassianov NASA GSFC: Alexander Sinyuk, Brent NASA GSFC: ...

  1. 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

  2. Single-Column Modeling C. J. Walcek Atmospheric Sciences Research...

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

    a is a function of height in the troposphere and represents the relative humidity depression from 100% at which cloud amount falls off to 37% (e-1): 0.2+a3 a <0.75 a -...

  3. Research Highlight

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

    Working Group(s): Cloud Life Cycle Journal Reference: Romps DM. 2013. "Rayleigh damping in the free troposphere." Journal of the Atmospheric Sciences, , . ACCEPTED....

  4. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, V Wulfmeyer, LK Berg, and ...

  5. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Radiative Processes Journal Reference: Turner DD, MP Cadeddu, U ...

  6. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, A Merrelli, D Vimont, and ...

  7. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Cloud Life Cycle Journal Reference: Turner DD and PJ Gero. 2011. ...

  8. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Radiative Processes Journal Reference: Turner, DD, and EW Eloranta. ...

  9. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, RA Ferrare, V Wulfmeyer, ...

  10. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Turner DD, EJ ...

  11. Research Highlight

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

    Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Turner DD ...

  12. Research Highlight

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

    "Hot" Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric ... Working Group(s): Radiative Processes Journal Reference: Turner, DD, and 21 coauthors. ...

  13. Research Highlight

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

    Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of ... Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Turner DD ...

  14. Research Highlight

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

    Arctic stratus clouds: Sensitivity to ice initiation mechanisms." Atmospheric Chemistry and Physics Discussion 8: 11755-11819. The vertical structure and radiative...

  15. 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 ...

  16. Research Highlight

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

    path length distributions inferred from rotating shadowband spectrometer measurements at the Atmospheric Radiation Measurements Program Southern Great Plains site, J. Geophys. ...

  17. Research Highlight

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

    Fridlind, and AS Ackerman. 2015. "Properties of a mesoscale convective system in the context of an isentropic analysis." Journal of the Atmospheric Sciences, , doi:10.1175...

  18. Research Highlight

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

    The sun, seen through a dusty atmosphere, sets at Niamey, the capital of Niger, which is located in the African Sahara. Anvil clouds that accompany thunderstorms....

  19. Research Highlight

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

    Cloud Life Cycle Journal Reference: Tridon F, A Battaglia, P Kollias, E Luke, and C Williams. 2013. "Signal post-processing and reflectivity calibration of the Atmospheric...

  20. Research Highlight

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

    of microphysics based on the prediction of bulk ice particle properties. Part II: Case study comparisons with observations and other schemes." Journal of the Atmospheric...

  1. Research Highlight

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

    ... and energy transfer in the atmosphere (e.g., radars, laser-scanning lidar mapping, and radiometers), sensors for surface weather and airborne pollutants, and towers of ...

  2. Research Highlight

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

    thunderstorms, called mesoscale convective systems (MCSs), occur frequently across the globe and contribute greatly to the hydrologic cycle and atmospheric energy budget....

  3. Research Highlight

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

    the climate. It's easy to visualize particles and gases from vehicle exhaust or burning trash wafting into the atmosphere. It's harder to envision similar gases and minute...

  4. Research Highlight

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

    K, A Taterevic, I Jo, and P Kollias. 2013. "Evaluation of gridded Scanning ARM Cloud Radar reflectivity observations and vertical Doppler velocity retrievals." Atmospheric...

  5. Research Highlight

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

    Life Cycle Journal Reference: Luke EP and P Kollias. 2013. "Separating cloud and drizzle radar moments during precipitation onset using Doppler spectra." Journal of Atmospheric...

  6. 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...

  7. Research Highlight

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

    atmospheric radiative forcing and cloud-aerosol interactions is due to lack of sufficient observational data describing vertical profiles of aerosol particles and aerosol optical...

  8. Research Highlight

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

    water strongly affect the transfer of radiation through the atmosphere. A large proportion of these clouds are associated with deep convection, which generates and lifts...

  9. Research Highlight

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

    organic aerosol and size distribution dynamics: Representing effects of volatility, phase state, and particle-phase reaction." Atmospheric Chemistry and Physics, 14, doi:10.5194...

  10. Research Highlight

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

    Albee. 2012. "Evaluation of Arctic broadband surface radiation measurements." Atmospheric Measurement Techniques, 5, doi:10.5194amt-5-429-2012. The Arctic is showing increased...

  11. Research Highlight

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

    from size distribution and light scattering data: Weakly absorbing aerosol." Atmospheric Measurement Techniques, 7, doi:10.5194amt-7-3247-2014. Observing Aerosols. The ARM...

  12. Research Highlight

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

    layer drizzle properties and their impact on cloud property retrieval." Atmospheric Measurement Techniques, 8, doi:10.5194amt-8-3555-2015. Figure 1. Drizzle properties...

  13. Terrain-Responsive Atmospheric Code

    Energy Science and Technology Software Center (OSTI)

    1991-11-20

    The Terrain-Responsive Atmospheric Code (TRAC) is a real-time emergency response modeling capability designed to advise Emergency Managers of the path, timing, and projected impacts from an atmospheric release. TRAC evaluates the effects of both radiological and non-radiological hazardous substances, gases and particulates. Using available surface and upper air meteorological information, TRAC realistically treats complex sources and atmospheric conditions, such as those found in mountainous terrain. TRAC calculates atmospheric concentration, deposition, and dose for more thanmore » 25,000 receptor locations within 80 km of the release point. Human-engineered output products support critical decisions on the type, location, and timing of protective actions for workers and the public during an emergency.« less

  14. Computer support to run models of the atmosphere. Final report

    SciTech Connect (OSTI)

    Fung, I.

    1996-08-30

    This research is focused on a better quantification of the variations in CO{sub 2} exchanges between the atmosphere and biosphere and the factors responsible for these exchangers. The principal approach is to infer the variations in the exchanges from variations in the atmospheric CO{sub 2} distribution. The principal tool involves using a global three-dimensional tracer transport model to advect and convect CO{sub 2} in the atmosphere. The tracer model the authors used was developed at the Goddard institute for Space Studies (GISS) and is derived from the GISS atmospheric general circulation model. A special run of the GCM is made to save high-frequency winds and mixing statistics for the tracer model.

  15. Atmospheric Correction of Satellite Signal in Solar Domain: Impact of Improved Molecular Spectroscopy

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

    Research & Development » Atmosphere to Electrons Atmosphere to Electrons Atmosphere to Electrons Atmosphere to Electrons (A2e) is a multi-year U.S. Department of Energy (DOE) research initiative targeting significant reductions in the cost of wind energy through an improved understanding of the complex physics governing electricity generation by wind plants. The goal of A2e is to ensure future wind plants are sited, built, and operated in a way that produces the most cost-effective, usable

  16. Research Mentors

    Broader source: Energy.gov [DOE]

    Research mentors are scientists and engineers committed to support and guide the applicant's research activities during the Research Award. Research mentors must be currently conducting or...

  17. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion...

  18. Atmospheric Radiation Measurement Program Science Plan. Current...

    Office of Scientific and Technical Information (OSTI)

    Atmospheric Radiation Measurement Program Science Plan. Current Status and Future Directions of the ARM Science Program Citation Details In-Document Search Title: Atmospheric ...

  19. National Oceanic and Atmospheric Administration (NOAA) | Open...

    Open Energy Info (EERE)

    National Oceanic and Atmospheric Administration (NOAA) Jump to: navigation, search Logo: National Oceanic and Atmospheric Administration (NOAA) Name: National Oceanic and...

  20. U.S. Department of Energy Workshop Report - Research Needs for Wind Resource Characterization

    SciTech Connect (OSTI)

    Schreck, S.; Lundquist, J.; Shaw, W.

    2008-06-01

    This workshop brought the different atmospheric and wind technology specialists together to evaluate research needs for wind resource characterization.

  1. 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

  2. Atmospheric Radiation Measurement Program Science Plan

    SciTech Connect (OSTI)

    Ackerman, T

    2004-10-31

    The Atmospheric Radiation Measurement (ARM) Program has matured into one of the key programs in the U.S. Climate Change Science Program. The ARM Program has achieved considerable scientific success in a broad range of activities, including site and instrument development, atmospheric radiative transfer, aerosol science, determination of cloud properties, cloud modeling, and cloud parameterization testing and development. The focus of ARM science has naturally shifted during the last few years to an increasing emphasis on modeling and parameterization studies to take advantage of the long time series of data now available. During the next 5 years, the principal focus of the ARM science program will be to: Maintain the data record at the fixed ARM sites for at least the next five years. Improve significantly our understanding of and ability to parameterize the 3-D cloud-radiation problem at scales from the local atmospheric column to the global climate model (GCM) grid square. Continue developing techniques to retrieve the properties of all clouds, with a special focus on ice clouds and mixed-phase clouds. Develop a focused research effort on the indirect aerosol problem that spans observations, physical models, and climate model parameterizations. Implement and evaluate an operational methodology to calculate broad-band heating rates in the atmospheric columns at the ARM sites. Develop and implement methodologies to use ARM data more effectively to test atmospheric models, both at the cloud-resolving model scale and the GCM scale. Use these methodologies to diagnose cloud parameterization performance and then refine these parameterizations to improve the accuracy of climate model simulations. In addition, the ARM Program is actively developing a new ARM Mobile Facility (AMF) that will be available for short deployments (several months to a year or more) in climatically important regions. The AMF will have much of the same instrumentation as the remote facilities at ARM's Tropical Western Pacific and the North Slope of Alaska sites. Over time, this new facility will extend ARM science to a much broader range of conditions for model testing.

  3. Anthropogenic NO2 in the Atmosphere: Estimates of the Column Content and Radiative Forcing

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

    Anthropogenic NO 2 in the Atmosphere: Estimates of the Column Content and Radiative Forcing A. N. Rublev Institution of Molecular Physics Russian Research Center Kurchatov Institute Moscow, Russia N Chubarova Meteorological Observatory of Moscow State University Moscow, Russia G. Gorchakov Obukhov Institute of Atmospheric Physics Russian Academy of Sciences Moscow, Russia Introduction The work summarizes the different methodical aspects, firstly, the use of atmosphere optical depths presented in

  4. Atmospheric sciences division. Annual report, fiscal year 1981

    SciTech Connect (OSTI)

    Raynor, G.S.

    1981-12-01

    The research activities of the Atmospheric Sciences Division of the Department of Energy and Environment for FY 1981 are presented. Facilities and major items of equipment are described. Research programs are summarized in three categories, modeling, field and laboratory experiments and data management and analysis. Each program is also described individually with title, principal investigator, sponsor and funding levels for FY 1981 and FY 1982. Future plans are summarized. Publications for FY 1981 are listed with abstracts. A list of personnel is included.

  5. 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. ...

  6. Transportation Research

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

    transportation-research TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Transportation Research Current Research Overview The U.S. Department of Transportation (USDOT) has established its only high-performance computing and engineering analysis research facility at Argonne National Laboratory to provide applications support in key areas of applied research and development for the USDOT community. The Transportation Research and

  7. Research Highlight

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

    state-of-the-art instruments such as the Ka ARM Zenith Radar (KAZR) for cloud thickness, Doppler lidar for clear and cloudy atmosphere vertical velocity, and Raman lidar for...

  8. Research Highlight

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

    using high-resolution aerosol mass spectrometry: Results from CARES." Atmospheric Chemistry and Physics, 12, doi:10.5194acp-12-8131-2012. High-resolution mass spectra (colored...

  9. Research Highlight

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

    to look for periods when the atmosphere was dominated by air from Sacramento or the San Francisco Bay area. A unique feature of the area is that due to thermally driven wind...

  10. Research Highlight

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

    organic aerosol mass in urban and forest outflow." Atmospheric Chemistry and Physics, 15, doi:10.5194acp-15-595-2015. Simulated SOA in outflow from case studies based on...

  11. Research Highlight

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

    of carbonaceous aerosol aging in Central California." Atmospheric Chemistry and Physics, 13, doi:10.5194acpd-13-9179-2013. Fractions of STXM-derived particle types for...

  12. Research Highlight

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

    P Kollias, M Poellot, and E Eloranta. 2008. "On deriving vertical air motions from cloud radar Doppler spectra." Journal of Atmospheric and Oceanic Technology 25: 547-557. Shupe,...

  13. Research Highlight

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

    Arctic mixed-phase stratocumulus in the presence of a humidity inversion." Atmospheric Chemistry and Physics, 11, doi:10.5194acp-11-10127-2011. Solomon A, M Shupe, O Persson, H...

  14. Research Highlight

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

    "Automated rain rate estimates using the Ka-band ARM Zenith Radar (KAZR)." Atmospheric Measurement Techniques, 8(1-15), doi:10.5194amt-8-1-2015. ACCEPTED. Time series of 1-min...

  15. Research Gallery

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

    Research Gallery Research Gallery Exhibits in this gallery capture Laboratory's leading-edge research in many areas of science and technology to help solve national problems...

  16. DOE Awards $10.5 Million for Small Business Research and Development...

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

    Boulder Nonlinear Systems, Inc., in Lafayette, Colorado, will develop a compact, low-power wind sensor to monitor offshore winds and optimize wind power generation. Hyper Tech ...

  17. Research Highlight

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

    Submitter: Area of Research: Journal Reference: N/A

  18. Unmanned Aerial Systems (UAS) Evaluation of Routine Atmospheric Sounding Measurements using Unmanned Systems (ERASMUS)

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

    De Boer, Gijs

    2016-01-05

    Data were collected to improve understanding of the Arctic troposphere, and to provide researchers with a focused case-study period for future observational and modeling studies pertaining to Arctic atmospheric processes.

  19. Atmospheric dispersion modeling: Challenges of the Fukushima Daiichi response

    SciTech Connect (OSTI)

    Sugiyama, Gayle; Nasstrom, John; Pobanz, Brenda; Foster, Kevin; Simpson, Matthew; Vogt, Phil; Aluzzi, Fernando; Homann, Steve

    2012-05-01

    In this research, the U.S. Department of Energy’s (DOE) National Atmospheric Release Advisory Center (NARAC) provided a wide range of predictions and analyses as part of the response to the Fukushima Daiichi Nuclear Power Plant accident including: daily Japanese weather forecasts and atmospheric transport predictions to inform planning for field monitoring operations and to provide U.S. government agencies with ongoing situational awareness of meteorological conditions; estimates of possible dose in Japan based on hypothetical U.S. Nuclear Regulatory Commission scenarios of potential radionuclide releases to support protective action planning for U.S. citizens; predictions of possible plume arrival times and dose levels at U.S. locations; and source estimation and plume model refinement based on atmospheric dispersion modeling and available monitoring data.

  20. Atmospheric Chemistry and Air Pollution

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

    Gaffney, Jeffrey S.; Marley, Nancy A.

    2003-01-01

    Atmospheric chemistry is an important discipline for understanding air pollution and its impacts. This mini-review gives a brief history of air pollution and presents an overview of some of the basic photochemistry involved in the production of ozone and other oxidants in the atmosphere. Urban air quality issues are reviewed with a specific focus on ozone and other oxidants, primary and secondary aerosols, alternative fuels, and the potential for chlorine releases to amplify oxidant chemistry in industrial areas. Regional air pollution issues such as acid rain, long-range transport of aerosols and visibility loss, and the connections of aerosols to ozonemore » and peroxyacetyl nitrate chemistry are examined. Finally, the potential impacts of air pollutants on the global-scale radiative balances of gases and aerosols are discussed briefly.« less

  1. Light extinction in the atmosphere

    SciTech Connect (OSTI)

    Laulainen, N.

    1992-06-01

    Atmospheric aerosol particles originating from natural sources, such as volcanos and sulfur-bearing gas emissions from the oceans, and from human sources, such as sulfur emissions from fossil fuel combustion and biomass burning, strongly affect visual air quality and are suspected to significantly affect radiative climate forcing of the planet. During the daytime, aerosols obscure scenic vistas, while at night they diminish our ability to observe stellar objects. Scattering of light is the main means by which aerosols attenuate and redistribute light in the atmosphere and by which aerosols can alter and reduce visibility and potentially modify the energy balance of the planet. Trends and seasonal variability of atmospheric aerosol loading, such as column-integrated light extinction or optical depth, and how they may affect potential climate change have been difficult to quantify because there have been few observations made of important aerosol optical parameters, such as optical depth, over the globe and over time and often these are of uneven quality. To address questions related to possible climate change, there is a pressing need to acquire more high-quality aerosol optical depth data. Extensive deployment of improved solar radiometers over the next few years will provide higher-quality extinction data over a wider variety of locations worldwide. An often overlooked source of turbidity data, however, is available from astronomical observations, particularly stellar photoelectric photometry observations. With the exception of the Project ASTRA articles published almost 20 years ago, few of these data ever appear in the published literature. This paper will review the current status of atmospheric extinction observations, as highlighted by the ASTRA work and augmented by more recent solar radiometry measurements.

  2. Atmospheric-pressure plasma jet

    DOE Patents [OSTI]

    Selwyn, Gary S.

    1999-01-01

    Atmospheric-pressure plasma jet. A .gamma.-mode, resonant-cavity plasma discharge that can be operated at atmospheric pressure and near room temperature using 13.56 MHz rf power is described. Unlike plasma torches, the discharge produces a gas-phase effluent no hotter than 250.degree. C. at an applied power of about 300 W, and shows distinct non-thermal characteristics. In the simplest design, two concentric cylindrical electrodes are employed to generate a plasma in the annular region therebetween. A "jet" of long-lived metastable and reactive species that are capable of rapidly cleaning or etching metals and other materials is generated which extends up to 8 in. beyond the open end of the electrodes. Films and coatings may also be removed by these species. Arcing is prevented in the apparatus by using gas mixtures containing He, which limits ionization, by using high flow velocities, and by properly shaping the rf-powered electrode. Because of the atmospheric pressure operation, no ions survive for a sufficiently long distance beyond the active plasma discharge to bombard a workpiece, unlike low-pressure plasma sources and conventional plasma processing methods.

  3. An Ensemble-Constrained Variational Analysis of Atmospheric Forcing Data and Its Application

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

    Ensemble-Constrained Variational Analysis of Atmospheric Forcing Data and Its Application For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Clouds represent one of the largest uncertainties in current General Circulation Models (GCM) simulations. Studies have shown that the model discrepancies can come from deficiencies in the physical parameterization and uncertainties in the large- scale atmospheric condition. However,

  4. Simulation of atmospheric temperature effects on cosmic ray muon flux

    SciTech Connect (OSTI)

    Tognini, Stefano Castro; Gomes, Ricardo Avelino

    2015-05-15

    The collision between a cosmic ray and an atmosphere nucleus produces a set of secondary particles, which will decay or interact with other atmosphere elements. This set of events produced a primary particle is known as an extensive air shower (EAS) and is composed by a muonic, a hadronic and an electromagnetic component. The muonic flux, produced mainly by pions and kaons decays, has a dependency with the atmosphere’s effective temperature: an increase in the effective temperature results in a lower density profile, which decreases the probability of pions and kaons to interact with the atmosphere and, consequently, resulting in a major number of meson decays. Such correlation between the muon flux and the atmosphere’s effective temperature was measured by a set of experiments, such as AMANDA, Borexino, MACRO and MINOS. This phenomena can be investigated by simulating the final muon flux produced by two different parameterizations of the isothermal atmospheric model in CORSIKA, where each parameterization is described by a depth function which can be related to the muon flux in the same way that the muon flux is related to the temperature. This research checks the agreement among different high energy hadronic interactions models and the physical expected behavior of the atmosphere temperature effect by analyzing a set of variables, such as the height of the primary interaction and the difference in the muon flux.

  5. Quantitative determination of atmospheric hydroperoxyl radical

    DOE Patents [OSTI]

    Springston, Stephen R.; Lloyd, Judith; Zheng, Jun

    2007-10-23

    A method for the quantitative determination of atmospheric hydroperoxyl radical comprising: (a) contacting a liquid phase atmospheric sample with a chemiluminescent compound which luminesces on contact with hydroperoxyl radical; (b) determining luminescence intensity from the liquid phase atmospheric sample; and (c) comparing said luminescence intensity from the liquid phase atmospheric sample to a standard luminescence intensity for hydroperoxyl radical. An apparatus for automating the method is also included.

  6. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  7. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  8. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  9. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Composition and Reactions of Atmospheric Aerosol Particles Print Wednesday, 29 June 2005 00:00 Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the

  10. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  11. Composition and Reactions of Atmospheric Aerosol Particles

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

    Composition and Reactions of Atmospheric Aerosol Particles Print Microscopic aerosol particles in the atmosphere contain carbonaceous components from mineral dust and combustion emissions released from around the world. How long these tiny particles remain in the atmosphere can have a huge impact on the global climate. Measurements based on high-resolution scanning transmission x-ray images obtained at the ALS have revealed chemical reactions on and in atmospheric aerosol particles that caused

  12. 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).

  13. Research Highlights

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

    Highlights Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Office of Science Abstracts Database Research Highlights Summaries Research Highlights Members of ARM's science team are major contributors to radiation and cloud research. ARM investigators publish about 150 refereed journal articles per year, and ARM data are used in many studies published by other scientific

  14. Research Highlight

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

    Rotstayn, L., Commonwealth Scientific and Industrial Research Organization Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Rotstayn, L.,...

  15. Research Highlight

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

    Chinese Researchers Report Reliable Method for Monitoring Soil Moisture Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Surface Properties...

  16. Research Highlight

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

    Testing and Comparing the Modified Anomalous Diffraction Approximation Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud DistributionsCharacterizations...

  17. 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...

  18. Research Projects

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

    Current Research Projects Joint Los Alamos National LaboratoryUCSD Research Projects Collaborations between Los Alamos National Laboratory and the University of California at San...

  19. Research Highlight

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

    Cloud Ensemble Simulation with the ARM IOP Data Submitter: Xu, K., NASA - Langley Research Center Area of Research: General Circulation and Single Column ModelsParameterizations ...

  20. 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...