Sample records for nsa sgp twp

  1. SGP and TWP (Manus) Ice Cloud Vertical Velocities

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

    Kalesse, Heike

    Daily netcdf-files of ice-cloud dynamics observed at the ARM sites at SGP (Jan1997-Dec2010) and Manus (Jul1999-Dec2010). The files include variables at different time resolution (10s, 20min, 1hr). Profiles of radar reflectivity factor (dbz), Doppler velocity (vel) as well as retrieved vertical air motion (V_air) and reflectivity-weighted particle terminal fall velocity (V_ter) are given at 10s, 20min and 1hr resolution. Retrieved V_air and V_ter follow radar notation, so positive values indicate downward motion. Lower level clouds are removed, however a multi-layer flag is included.

  2. ARM - Visiting the TWP

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

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  3. ARM - TWP Contacts

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

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  4. ARM - NSA Contacts

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

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  5. ARM - NSA Operations

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

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  6. NSA Atqasuk Facility

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

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  7. ARM - NSA Science

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

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  8. ARM - SGP Central Facility

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

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  9. ARM - SGP Contacts

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

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  10. ARM - SGP Extended Facility

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

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  11. ARM - SGP Science

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

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  12. SGP Shipment Notification Form

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

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  13. ARM - TWP-ICE Maps

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

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  14. ARM - PI Product - SGP and TWP (Manus) Ice Cloud Vertical Velocities

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

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  15. Characterization of Surface Albedo Over the ARM SGP CART and the NSA

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

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  16. ARM - TWP Darwin Site - Aussie Trivia

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

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  17. ARM - TWP Darwin Site-Inactive

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

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  18. ARM - TWP Manus Site-Inactive

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

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  19. NSA AERI Hatch Correction Data Set

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

    Turner, David

    From 2000-2008, the NSA AERI hatch was determined to be indicated as open too frequently. Analysis suggests that the hatch was actually opening and closing properly but that its status was not being correctly reported by the hatch controller to the datastream. An algorithm was written to determine the hatch status from the observed

  20. SGP-TR-32 STANFORD GEOTHERMAL PROGRAM

    E-Print Network [OSTI]

    Stanford University

    SGP- TR- 32 STANFORD GEOTHERMAL PROGRAM PROGRESS REPORT NO. 7 t o U. S. DEPARTMENT OF ENERGY Recent Radon Transient Experiments Energy Recovery from Fracture-Stimulated Geothermal Reservoirs 1 2 l e c t i o n of Summary presentations prepared by t h e Stanford Geothermal Program s t a f f

  1. ARM - Field Campaign - NSA Scanning Radar IOP

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

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  2. Soundings from SGP, June 2014 Sonde Comparison Study

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

    Jensen, Michael

    In early June 2014, a radiosonde intercomparison trial was undertaken at the SGP Central Facility site with the goal of quantifying the relative performance of the RS92-SGP/MW31 and RS41-SG/MW41 radiosondes/systems. The June time period at SGP represents a springtime mid-latitude convective environment where the extensive remote sensing observations at the SGP site were used to further quantify the environment during the intercomparison. Over the course of five days (3 - 8 June) a total of 20 balloon launches were completed with efforts to sample the entire diurnal cycle and a variety of cloud conditions

  3. ARM - Field Campaign - SGP99 IOP

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

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  4. ARM - SGP Geographic Information By Facility

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

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  5. Darwin : The Third DOE ARM TWP ARCS Site /

    SciTech Connect (OSTI)

    Clements, William E.; Jones, L. A. (Larry A.); Baldwin, T. (Tony); Nitschke, K. (Kim)

    2002-01-01T23:59:59.000Z

    The United States Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) Program began operations in its Tropical Western Pacific (TWP) locale in October 1996 when the first Atmospheric Radiation and Cloud Station (ARCS) began collecting data on Manus Island in Papua New Guinea (PNG). Two years later, in November 1998, a second ARCS began operations on the island of Nauru in the Central Pacific. Now a third ARCS has begun collecting data in Darwin, Australia. The Manus, Nauru, and Darwin sites are operated through collaborative agreements with the PNG National Weather Service, The Nauru Department of Industry and Economic Development (IED), and the Australian Bureau of Meteorology's (BOM) Special Services Unit (SSU) respectively. All ARM TWP activities in the region are coordinated with the South Pacific Regional Environment Programme (SPREP) based in Apia, Samoa. The Darwin ARM site and its role in the ARM TWP Program are discussed.

  6. Naval Support Activity (NSA) in Bethesda Employment Education Fair

    Broader source: Energy.gov [DOE]

    Location: NSA Bethesda Fitness Center (Gymnasium, Bldg 17), 8901 Wisconsin Ave., Bethesda, MD 20889Attendees: Donna Friend (HC) and Rauland Sharp (HC)POC: Donna FriendWebsite:http://bit.ly/1yTjTNu

  7. Initial results from ensemble SCM simulations of TWP-ICE

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

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  8. Microsoft PowerPoint - TWP_loehnert.ppt

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

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  9. ARM Carbon Cycle Gases Flasks at SGP Site

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

    Biraud, Sebastien

    Data from flasks are sampled at the Atmospheric Radiation Measurement Program ARM, Southern Great Plains Site and analyzed by the National Oceanic and Atmospheric Administration NOAA, Earth System Research Laboratory ESRL. The SGP site is included in the NOAA Cooperative Global Air Sampling Network. The surface samples are collected from a 60 m tower at the ARM SGP Central Facility, usually once per week in the afternoon. The aircraft samples are collected approximately weekly from a chartered aircraft, and the collection flight path is centered over the tower where the surface samples are collected. The samples are collected by the ARM and LBNL Carbon Project.

  10. ARM Carbon Cycle Gases Flasks at SGP Site

    SciTech Connect (OSTI)

    Biraud, Sebastien

    2013-03-26T23:59:59.000Z

    Data from flasks are sampled at the Atmospheric Radiation Measurement Program ARM, Southern Great Plains Site and analyzed by the National Oceanic and Atmospheric Administration NOAA, Earth System Research Laboratory ESRL. The SGP site is included in the NOAA Cooperative Global Air Sampling Network. The surface samples are collected from a 60 m tower at the ARM SGP Central Facility, usually once per week in the afternoon. The aircraft samples are collected approximately weekly from a chartered aircraft, and the collection flight path is centered over the tower where the surface samples are collected. The samples are collected by the ARM and LBNL Carbon Project.

  11. SGP Cloud and Land Surface Interaction Campaign (CLASIC): Measurement Platforms

    SciTech Connect (OSTI)

    MA Miller; R Avissar; LK Berg; SA Edgerton; ML Fischer; TJ Jackson; B. Kustas; PJ Lamb; G McFarquhar; Q Min; B Schmid; MS Torn; DD Tuner

    2007-06-01T23:59:59.000Z

    The Cloud and Land Surface Interaction Campaign (CLASIC) will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energys Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) Southern Great Plains (SGP) site. Data will be collected using eight aircraft equipped with a variety of specialized sensors, four specially instrumented surface sites, and two prototype surface radar systems. The architecture of CLASIC includes a high-altitude surveillance aircraft and enhanced vertical thermodynamic and wind profile measurements that will characterize the synoptic scale structure of the clouds and the land surface within the ACRF SGP site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations. An overview of the measurement platforms that will be used during the CLASIC are described in this report. The coordination of measurements, especially as it relates to aircraft flight plans, will be discussed in the CLASIC Implementation Plan.

  12. Cloud Properties and Radiative Heating Rates for TWP

    SciTech Connect (OSTI)

    Comstock, Jennifer

    2013-11-07T23:59:59.000Z

    A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.

  13. Cloud Properties and Radiative Heating Rates for TWP

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

    Comstock, Jennifer

    A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.

  14. ARM - Field Campaign - SGP Ice Nuclei Characterization Experiment

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

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  15. SGP Cloud and Land Surface Interaction Campaign (CLASIC)

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

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  16. ARM: Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

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

    Gaustad, Krista; Gaustad, Krista; McFarlane, Sally; McFarlane, Sally

    Fractional cloud cover, clear-sky and all-sky shortwave flux for each of 25 individual SGP facilities.

  17. Atmospheric Radiation Measurement (ARM) Data from the Tropical Western Pacific (TWP) Site.

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

    ARM maintains four major, permanent sites for data collection and deploys the ARM Mobile Facility to other sites as determined. The Tropical Western Pacific (TWP) site is one of the four fixed sites. It consists of three climate research facilities; the Manus facility on Los Negros Island in Manus, Papua New Guinea (established in 1996); the Nauru facility on Nauru Island, Republic of Nauru (1998); and the Darwin facility in Darwin, Northern Territory, Australia (2002). The operations are supported by government agencies in each host country. Covering the area roughly between 10 degrees N and 10 degrees S of the equator and from 130 degrees E to 167 degrees E, the TWP locale includes a region that plays a large role in the interannual variability observed in the global climate system. More than 250,000 TWP data sets from 1996 to the present reside in the ARM Archive. Begin at the TWP information page for links or access data directly from the ARM Archive at http://www.archive.arm.gov/. Users will need to register for a password, but all files are then free for viewing or downloading. The ARM Archive physically resides at the Oak Ridge National Laboratory.

  18. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane

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

    Riihimaki, Laura; Shippert, Timothy

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  19. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane

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

    Riihimaki, Laura; Shippert, Timothy

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  20. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05T23:59:59.000Z

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  1. Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05T23:59:59.000Z

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  2. Comparison of improved Aura Tropospheric Emission Spectrometer (TES) CO2 with HIPPO and SGP aircraft profile measurements

    E-Print Network [OSTI]

    Kulawik, S.S.

    2013-01-01T23:59:59.000Z

    Spectrometer stare ozone profiles with ARC-IONS sondespriori of trace gas profile estimates from the TroposphericHIPPO and SGP aircraft profile measurements S. S. Kulawik ,

  3. Anvil characteristics as seen by C-POL during the Tropical Warm Pool International Cloud Experiment (TWP-ICE)

    E-Print Network [OSTI]

    Frederick, Kaycee Loretta

    2007-04-25T23:59:59.000Z

    The Tropical Pacific Warm Pool International Cloud Experiment (TWP-ICE) took place in Darwin, Australia in early 2006. C-band radar data from this experiment were used to characterize tropical anvil areal coverage, height, and thickness during...

  4. AEROSOL CHEMICAL COMPOSITION CHARACTERIZATION AT THE ARM SOUTHERN GREAT PLAINS (SGP) SITE USING AN AEROSOL CHEMICAL

    E-Print Network [OSTI]

    AEROSOL CHEMICAL COMPOSITION CHARACTERIZATION AT THE ARM SOUTHERN GREAT PLAINS (SGP) SITE USING AN AEROSOL CHEMICAL SPECIATION MONITOR Yin-Nan Lee1 , Fan Mei1 , Stephanie DeJong1 , Anne Jefferson2 1 Atmospheric Sciences Division, Brookhaven National Lab, Upton, NY 2 CIRES, University of Colorado, Boulder, CO

  5. ARM Quick-looks Database for North Slope Alaska (NSA) sites

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

    Stamnes, Knut (NSA Site Scientist)

    From these pages one can monitor parts of the data acquisition process and access daily data visualizations from the different instruments. These data visualizations are produced in near real time automatically and are called Quick-Looks (QLs). The quick-looks contains unofficial data of unknown quality. Once data is released one can obtain the full data-set from any instrument available, and along with that, a statement about the data quality from the ARM archive. The database provides Quick-looks for the Barrow ACRF site (NSA C1), the Atqasuk ACRF site (NSA C2), or the SHEBA ice campaign of 1997 and 1998. As of 12-17-08, the database had more than 528,000 quick-looks available as data figures and data plots. No password is required for Quick-look access. (Specialized Interface)

  6. Multi-Filter Rotating Shadowband Radiometers Mentor Report and Baseline Surface Radiation Network Submission Status

    SciTech Connect (OSTI)

    Hodges, G.

    2005-03-18T23:59:59.000Z

    There are currently twenty-four Multi-Filter Rotating Shadowband Radiometers (MFRSR) operating within Atmospheric Radiation Measurement (ARM). Eighteen are located within the Southern Great Plains (SGP) region, there is one at each of the North Slope of Alaska (NSA) and Tropical Western Pacific (TWP) sites, and one is part of the instrumentation of the ARM Mobile Facility. At this time there are four sites, all extended facilities within the SGP, that are equipped for a MFRSR but do not have one due to instrument failure and a lack of spare instruments. In addition to the MFRSRs, there are three other MFRSR derived instruments that ARM operates. They are the Multi-Filter Radiometer (MFR), the Normal Incidence Multi-Filter Radiometer (NIMFR) and the Narrow Field of View (NFOV) radiometer. All are essentially just the head of a MFRSR used in innovative ways. The MFR is mounted on a tower and pointed at the surface. At the SGP Central Facility there is one at ten meters and one at twenty-five meters. The NSA has a MFR at each station, both at the ten meter level. ARM operates three NIMFRs; one is at the SGP Central Facility and one at each of the NSA stations. There are two NFOVs, both at the SGP Central Facility. One is a single channel (870) and the other utilizes two channels (673 and 870).

  7. Atmospheric Radiation Measurement (ARM) Data from the North Slope Alaska (NSA) Site

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

    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 this goal, ARM scientists and researchers around the world use continuous data obtained through the ARM Climate Research Facility. ARM maintains four major, permanent sites for data collection and deploys the ARM Mobile Facility to other sites as determined. The North Slope of Alaska (NSA) site is a permanent site providing data about cloud and radiative processes at high latitudes. These data are being used to refine models and parameterizations as they relate to the Arctic. Centered at Barrow and extending to the south (to the vicinity of Atqasuk), west (to the vicinity of Wainwright), and east (towards Oliktok), the NSA site has become a focal point for atmospheric and ecological research activity on the North Slope. Approximately 300,000 NSA data sets from 1993 to the present reside in the ARM Archive at http://www.archive.arm.gov/. Users will need to register for a password, but all files are then free for viewing or downloading. The ARM Archive physically resides at the Oak Ridge National Laboratory.

  8. Atmospheric Radiation Measurement (ARM) Data from the Southern Great Plains (SGP) Site

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

    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 this goal, ARM scientists and researchers around the world use continuous data obtained through the ARM Climate Research Facility. ARM maintains four major, permanent sites for data collection and deploys the ARM Mobile Facility to other sites as determined. Scientists are using the information obtained from the permanent SGP site to improve cloud and radiative models and parameterizations and, thereby, the performance of atmospheric general circulation models used for climate research. More than 30 instrument clusters have been placed around the SGP site. The locations for the instruments were chosen so that the measurements reflect conditions over the typical distribution of land uses within the site. The continuous observations at the SGP site are supplemented by intensive observation periods, when the frequency of measurements is increased and special measurements are added to address specific research questions. During such periods, 2 gigabytes or more of data (two billion bytes) are generated daily. SGP data sets from 1993 to the present reside in the ARM Archive at http://www.archive.arm.gov/ http. Users will need to register for a password, but all files are then free for viewing or downloading. The ARM Archive physically resides at the Oak Ridge National Laboratory.

  9. ARM: Gridded (0.25 x 0.25 lat/lon) fractional cloud cover, clear-sky and all-sky shortwave flux over the SGP site.

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

    Gaustad, Krista; Gaustad, Krista; McFarlane, Sally; McFarlane, Sally

    Gridded (0.25 x 0.25 lat/lon) fractional cloud cover, clear-sky and all-sky shortwave flux over the SGP site.

  10. Characterizing the Vertical Distribution of Aerosols Over the ARM SGP Site

    SciTech Connect (OSTI)

    Richard Ferrare, Connor Flynn, David Turner

    2009-05-05T23:59:59.000Z

    This project focused on: 1) evaluating the performance of the DOE ARM SGP Raman lidar system in measuring profiles of water vapor and aerosols, and 2) the use of the Raman lidar measurements of aerosol and water vapor profiles for assessing the vertical distribution of aerosols and water vapor simulated by global transport models and examining diurnal variability of aerosols and water vapor. The highest aerosol extinction was generally observed close to the surface during the nighttime just prior to sunrise. The high values of aerosol extinction are most likely associated with increased scattering by hygroscopic aerosols, since the corresponding average relative humidity values were above 70%. After sunrise, relative humidity and aerosol extinction below 500 m decreased with the growth in the daytime convective boundary layer. The largest aerosol extinction for altitudes above 1 km occurred during the early afternoon most likely as a result of the increase in relative humidity. The water vapor mixing ratio profiles generally showed smaller variations with altitude between day and night. We also compared simultaneous measurements of relative humidity, aerosol extinction, and aerosol optical thickness derived from the ARM SGP Raman lidar and in situ instruments on board a small aircraft flown routinely over the ARM SGP site. In contrast, the differences between the CARL and IAP aerosol extinction measurements are considerably larger. Aerosol extinction derived from the IAP measurements is, on average, about 30-40% less than values derived from the Raman lidar. The reasons for this difference are not clear, but may be related to the corrections for supermicron scattering and relative humidity that were applied to the IAP data. The investigators on this project helped to set up a major field mission (2003 Aerosol IOP) over the DOE ARM SGP site. One of the goals of the mission was to further evaluate the aerosol and water vapor retrievals from this lidar system. Analysis of the aerosol and water vapor data collected by the Raman lidar during the 2003 Aerosol IOP indicated that the sensitivity of the lidar was significantly lower than when the lidar was initially deployed. A detailed analysis after the IOP of the long-term dataset demonstrated that the lidar began degrading in early 2002, and that it lost approximately a factor of 4 in sensitivity between 2002 and 2004. We participated in the development of the remediation plan for the system to restore its initial performance. We conducted this refurbishment and upgrade from May- September 2004. This remediation lead to an increase in the signal-to-noise ratio of 10 and 30 for the Raman lidar's water vapor mixing ratio and aerosol backscatter coefficient data, respectively as compared to the signal strengths when the system was first deployed. The DOE ARM Aerosol Lidar Validation Experiment (ALIVE), which was conducted during September 2005, evaluated the impact of these modifications and upgrades on the SGP Raman lidar measurements of aerosol extinction and optical thickness. The CARL modifications significantly improved the accuracy and temporal resolution of the aerosol measurements. Aerosol extinction profiles measured by the Raman lidar were also used to evaluate aerosol extinction profiles and aerosol optical thickness (AOT) simulated by aerosol models as part of the Aerosol module inter-Comparison in global models (AEROCOM) (http://nansen.ipsl.jussieu.fr/AEROCOM/aerocomhome.html) project. There was a wide range in how the models represent the aerosol extinction profiles over the ARM SGP site, even though the average annual AOT represented by the various models and measured by CARL and the Sun photometer were in general agreement, at least within the standard deviations of the averages. There were considerable differences in the average vertical distributions among the models, even among models that had similar average aerosol optical thickness. Deviations between mean aerosol extinction profiles were generally small (~20-30%) for altitudes above 2 km, and grew consider

  11. Improved ARM-SGP TOA OLR Fluxes from GOES-8 IR Radiances Based on CERES Data

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

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  12. A Climatology of Midlatitude Continental Clouds from the ARM SGP Central Facility. Part II: Cloud Fraction and Surface Radiative Forcing

    E-Print Network [OSTI]

    Dong, Xiquan

    at the Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Central Facility and for single-layered low (0­3 km), middle (3­6 km), and high clouds ( 6 km) using ARM SCF ground-based paired-looking standard precision spectral pyranometers and precision infrared radiometer measurements with uncertainties

  13. Surface Energy Balance System (SEBS) Handbook

    SciTech Connect (OSTI)

    Cook, DR

    2011-02-14T23:59:59.000Z

    A Surface Energy Balance System (SEBS) has been installed collocated with each deployed ECOR system at the Southern Great Plains (SGP), North Slope of Alaska (NSA), Tropical Western Pacific (TWP), ARM Mobile Facility 1 (AMF1), and ARM Mobile Facility 2 (AMF2). The surface energy balance system consists of upwelling and downwelling solar and infrared radiometers within one net radiometer, a wetness sensor, and soil measurements. The SEBS measurements allow the comparison of ECOR sensible and latent heat fluxes with the energy balance determined from the SEBS and provide information on wetting of the sensors for data quality purposes.

  14. Broadband Heating Rate Profile Project (BBHRP) - SGP 1bbhrpripbe1mcfarlane

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

    Riihimaki, Laura; Shippert, Timothy

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  15. Broadband Heating Rate Profile Project (BBHRP) - SGP 1bbhrpripbe1mcfarlane

    SciTech Connect (OSTI)

    Riihimaki, Laura; Shippert, Timothy

    2014-11-05T23:59:59.000Z

    The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

  16. Tropical Warm Pool International Cloud Experiment TWP-ICE Cloud and rain characteristics in the Australian Monsoon

    SciTech Connect (OSTI)

    May, P.T., Jakob, C., and Mather, J.H.

    2004-05-31T23:59:59.000Z

    The impact of oceanic convection on its environment and the relationship between the characteristics of the convection and the resulting cirrus characteristics is still not understood. An intense airborne measurement campaign combined with an extensive network of ground-based observations is being planned for the region near Darwin, Northern Australia, during January-February, 2006, to address these questions. The Tropical Warm Pool International Cloud Experiment (TWP-ICE) will be the first field program in the tropics that attempts to describe the evolution of tropical convection, including the large scale heat, moisture, and momentum budgets, while at the same time obtaining detailed observations of cloud properties and the impact of the clouds on the environment. The emphasis will be on cirrus for the cloud properties component of the experiment. Cirrus clouds are ubiquitous in the tropics and have a large impact on their environment but the properties of these clouds are poorly understood. A crucial product from this experiment will be a dataset suitable to provide the forcing and testing required by cloud-resolving models and parameterizations in global climate models. This dataset will provide the necessary link between cloud properties and the models that are attempting to simulate them.

  17. FINAL REPORT (DE-FG02-97ER62338): Single-column modeling, GCM parameterizations, and ARM data

    SciTech Connect (OSTI)

    Richard C. J. Somerville

    2009-02-27T23:59:59.000Z

    Our overall goal is the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data at all three ARM sites, and the implementation and testing of these parameterizations in global models. To test recently developed prognostic parameterizations based on detailed cloud microphysics, we have compared SCM (single-column model) output with ARM observations at the SGP, NSA and TWP sites. We focus on the predicted cloud amounts and on a suite of radiative quantities strongly dependent on clouds, such as downwelling surface shortwave radiation. Our results demonstrate the superiority of parameterizations based on comprehensive treatments of cloud microphysics and cloud-radiative interactions. At the SGP and NSA sites, the SCM results simulate the ARM measurements well and are demonstrably more realistic than typical parameterizations found in conventional operational forecasting models. At the TWP site, the model performance depends strongly on details of the scheme, and the results of our diagnostic tests suggest ways to develop improved parameterizations better suited to simulating cloud-radiation interactions in the tropics generally. These advances have made it possible to take the next step and build on this progress, by incorporating our parameterization schemes in state-of-the-art three-dimensional atmospheric models, and diagnosing and evaluating the results using independent data. Because the improved cloud-radiation results have been obtained largely via implementing detailed and physically comprehensive cloud microphysics, we anticipate that improved predictions of hydrologic cycle components, and hence of precipitation, may also be achievable.

  18. Evaluation of Cloud-resolving and Limited Area Model Intercomparison Simulations using TWP-ICE Observations. Part 2: Rain Microphysics

    SciTech Connect (OSTI)

    Varble, Adam; Zipser, Edward J.; Fridlind, Ann; Zhu, Ping; Ackerman, Andrew; Chaboureau, Jean-Pierre; Fan, Jiwen; Hill, Adrian; Shipway, Ben; Williams, Christopher R.

    2014-12-27T23:59:59.000Z

    Ten 3D cloud-resolving model (CRM) simulations and four 3D limited area model (LAM) simulations of an intense mesoscale convective system observed on January 23-24, 2006 during the Tropical Warm Pool International Cloud Experiment (TWP-ICE) are compared with each other and with observations and retrievals from a scanning polarimetric radar, co-located UHF and VHF vertical profilers, and a Joss-Waldvogel disdrometer in an attempt to explain published results showing a low bias in simulated stratiform rainfall. Despite different forcing methodologies, similar precipitation microphysics errors appear in CRMs and LAMs with differences that depend on the details of the bulk microphysics scheme used. One-moment schemes produce too many small raindrops, which biases Doppler velocities low, but produces rain water contents (RWCs) that are similar to observed. Two-moment rain schemes with a gamma shape parameter (?) of 0 produce excessive size sorting, which leads to larger Doppler velocities than those produced in one-moment schemes, but lower RWCs than observed. Two moment schemes also produce a convective median volume diameter distribution that is too broad relative to observations and thus, may have issues balancing raindrop formation, collision coalescence, and raindrop breakup. Assuming a ? of 2.5 rather than 0 for the raindrop size distribution improves one-moment scheme biases, and allowing ? to have values greater than 0 may improve two-moment schemes. Under-predicted stratiform rain rates are associated with under-predicted ice water contents at the melting level rather than excessive rain evaporation, in turn likely associated with convective detrainment that is too high in the troposphere and mesoscale circulations that are too weak. In addition to stronger convective updrafts than observed, limited domain size prevents a large, well-developed stratiform region from developing in CRMs, while a dry bias in ECMWF analyses does the same to the LAMs.

  19. ARM - TWP Science

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

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  20. TWP Darwin Site

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

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  1. TWP Manus Site

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

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  2. TWP Nauru Site

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

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  3. Tropical Warm Pool International Cloud Experiment (TWP-ICE): Cloud and Rain Characteristics in the Australian Monsoon

    SciTech Connect (OSTI)

    PT May; C Jakob; JH Mather

    2004-05-30T23:59:59.000Z

    The impact of oceanic convection on its environment and the relationship between the characteristics of the convection and the resulting cirrus characteristics is still not understood. An intense airborne measurement campaign combined with an extensive network of ground-based observations is being planned for the region near Darwin, Northern Australia, during January-February, 2006, to address these questions. The Tropical Warm Pool International Cloud Experiment (TWP-ICE) will be the first field program in the tropics that attempts to describe the evolution of tropical convection, including the large scale heat, moisture, and momentum budgets, while at the same time obtaining detailed observations of cloud properties and the impact of the clouds on the environment. The emphasis will be on cirrus for the cloud properties component of the experiment. Cirrus clouds are ubiquitous in the tropics and have a large impact on their environment but the properties of these clouds are poorly understood. A crucial product from this experiment will be a dataset suitable to provide the forcing and testing required by cloud-resolving models and parameterizations in global climate models. This dataset will provide the necessary link between cloud properties and the models that are attempting to simulate them. The experiment is a collaboration between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program, the Bureau of Meteorology (BoM), the National Aeronautics and Space Administration (NASA), the European Commission DG RTD-1.2, and several United States, Australian, Canadian, and European Universities. This experiment will be undertaken over a 4-week period in early 2006. January and February corresponds to the wet phase of the Australia monsoon. This season has been selected because, despite Darwins coastal location, the convection that occurs over and near Darwin at this time is largely of maritime origin with a large fetch over water. Based on previous experiments, the convection appears typical of maritime convection with widespread convection that has complex organization, but is not as deep or as intense as continental or coastal convection. Therefore, it is expected that the convection and cloud characteristics will be representative of conditions typical for wide areas of the tropics.

  4. PROGRESS REPORT OF FY 2004 ACTIVITIES: IMPROVED WATER VAPOR AND CLOUD RETRIEVALS AT THE NSA/AAO

    SciTech Connect (OSTI)

    E. R. Westwater; V. V. Leuskiy; M. Klein; A. J. Gasiewski; and J. A. Shaw

    2004-11-01T23:59:59.000Z

    The basic goals of the research are to develop and test algorithms and deploy instruments that improve measurements of water vapor, cloud liquid, and cloud coverage, with a focus on the Arctic conditions of cold temperatures and low concentrations of water vapor. The importance of accurate measurements of column amounts of water vapor and cloud liquid has been well documented by scientists within the Atmospheric Radiation Measurement Program. Although several technologies have been investigated to measure these column amounts, microwave radiometers (MWR) have been used operationally by the ARM program for passive retrievals of these quantities: precipitable water vapor (PWV) and integrated water liquid (IWL). The technology of PWV and IWL retrievals has advanced steadily since the basic 2-channel MWR was first deployed at ARM CART sites Important advances are the development and refinement of the tipcal calibration method [1,2], and improvement of forward model radiative transfer algorithms [3,4]. However, the concern still remains that current instruments deployed by ARM may be inadequate to measure low amounts of PWV and IWL. In the case of water vapor, this is especially important because of the possibility of scaling and/or quality control of radiosondes by the water amount. Extremely dry conditions, with PWV less than 3 mm, commonly occur in Polar Regions during the winter months. Accurate measurements of the PWV during such dry conditions are needed to improve our understanding of the regional radiation energy budgets. The results of a 1999 experiment conducted at the ARM North Slope of Alaska/Adjacent Arctic Ocean (NSA/AAO) site during March of 1999 [5] have shown that the strength associated with the 183 GHz water vapor absorption line makes radiometry in this frequency regime suitable for measuring low amounts of PWV. As a portion of our research, we conducted another millimeter wave radiometric experiment at the NSA/AAO in March-April 2004. This experiment relied heavily on our experiences of the 1999 experiment. Particular attention was paid to issues of radiometric calibration and radiosonde intercomparisons. Our theoretical and experimental work also supplements efforts by industry (F. Solheim, Private Communication) to develop sub-millimeter radiometers for ARM deployment. In addition to quantitative improvement of water vapor measurements at cold temperature, the impact of adding millimeter-wave window channels to improve the sensitivity to arctic clouds was studied. We also deployed an Infrared Cloud Imager (ICI) during this experiment, both for measuring continuous day-night statistics of the study of cloud coverage and identifying conditions suitable for tipcal analysis. This system provided the first capability of determining spatial cloud statistics continuously in both day and night at the NSA site and has been used to demonstrate that biases exist in inferring cloud statistics from either zenith-pointing active sensors (lidars or radars) or sky imagers that rely on scattered sunlight in daytime and star maps at night [6].

  5. Final Report for "Improved Representations of Cloud Microphysics for Model and Remote Sensing Evaluation using Data Collected during ISDAC, TWP-ICE and RACORO

    SciTech Connect (OSTI)

    McFarquhar, Greg M. [University of Illinois] University of Illinois

    2003-06-11T23:59:59.000Z

    We were funded by ASR to use data collected during ISDAC and TWP-ICE to evaluate models with a variety of temporal and spatial scales, to evaluate ground-based remote sensing retrievals and to develop cloud parameterizations with the end goal of improving the modeling of cloud processes and properties and their impact on atmospheric radiation. In particular, we proposed to: 1) Calculate distributions of microphysical properties observed in arctic stratus during ISDAC for initializing and evaluating LES and GCMs, and for developing parameterizations of effective particle sizes, mean fall velocities, and mean single-scattering properties for such models; 2) Improve representations of particle sizes, fall velocities and scattering properties for tropical and arctic cirrus using TWP-ICE, ISDAC and M-PACE data, and to determine the contributions that small ice crystals, with maximum dimensions D less than 50 ?m, make to mass and radiative properties; 3) Study fundamental interactions between clouds and radiation by improving representations of small quasi-spherical particles and their scattering properties. We were additionally funded 1-year by ASR to use RACORO data to develop an integrated product of cloud microphysical properties. We accomplished all of our goals.

  6. Improvements in Representations of Cloud Microphysics for BBHRP and Models using Data Collected during M-PACE and TWP-ICE

    SciTech Connect (OSTI)

    Greg M. McFarquhar

    2010-02-22T23:59:59.000Z

    In our research we proposed to use data collected during the 2004 Mixed-Phase Arctic Cloud Experiment (MPACE) and the 2006 Tropical Warm Pool International Cloud Experiment (TWP-ICE) to improve retrievals of ice and mixed-phase clouds, to improve our understanding of how cloud and radiative processes affect cloud life cycles, and to develop and test methods for using ARM data more effectively in model. In particular, we proposed to: 1) use MPACE in-situ data to determine how liquid water fraction and cloud ice and liquid effective radius (r{sub ei} and r{sub ew}) vary with temperature, normalized cloud altitude and other variables for Arctic mixed-phase clouds, and to use these data to evaluate the performance of model parameterization schemes and remote sensing retrieval algorithms; 2) calculate rei and size/shape distributions using TWP-ICE in-situ data, investigate their dependence on cirrus type (oceanic or continental anvils or cirrus not directly traced to convection), and develop and test representations for MICROBASE; 3) conduct fundamental research enhancing our understanding of cloud/radiative interactions, concentrating on effects of small crystals and particle shapes and sizes on radiation; and 4) improve representations of microphysical processes for models (fall-out, effective density, mean scattering properties, rei and rew) and provide them to ARM PIs. In the course of our research, we made substantial progress on all four goals.

  7. Using Radar, Lidar and Radiometer Data from NSA and SHEBA to Quantify Cloud Property Effects on the Surface Heat Budget in the Arctic

    SciTech Connect (OSTI)

    Janet Intrieri; Mathhew Shupe

    2005-01-01T23:59:59.000Z

    Cloud and radiation data from two distinctly different Arctic areas are analyzed to study the differences between coastal Alaskan and open Arctic Ocean region clouds and their respective influence on the surface radiation budget. The cloud and radiation datasets were obtained from (1) the DOE North Slope of Alaska (NSA) facility in the coastal town of Barrow, Alaska, and (2) the SHEBA field program, which was conducted from an icebreaker frozen in, and drifting with, the sea-ice for one year in the Western Arctic Ocean. Radar, lidar, radiometer, and sounding measurements from both locations were used to produce annual cycles of cloud occurrence and height, atmospheric temperature and humidity, surface longwave and shortwave broadband fluxes, surface albedo, and cloud radiative forcing. In general, both regions revealed a similar annual trend of cloud occurrence fraction with minimum values in winter (60-75%) and maximum values during spring, summer and fall (80-90%). However, the annual average cloud occurrence fraction for SHEBA (76%) was lower than the 6-year average cloud occurrence at NSA (92%). Both Arctic areas also showed similar annual cycle trends of cloud forcing with clouds warming the surface through most of the year and a period of surface cooling during the summer, when cloud shading effects overwhelm cloud greenhouse effects. The greatest difference between the two regions was observed in the magnitude of the cloud cooling effect (i.e., shortwave cloud forcing), which was significantly stronger at NSA and lasted for a longer period of time than at SHEBA. This is predominantly due to the longer and stronger melt season at NSA (i.e., albedo values that are much lower coupled with Sun angles that are somewhat higher) than the melt season observed over the ice pack at SHEBA. Longwave cloud forcing values were comparable between the two sites indicating a general similarity in cloudiness and atmospheric temperature and humidity structure between the two regions.

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

    SciTech Connect (OSTI)

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

    2009-08-20T23:59:59.000Z

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

  9. Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data

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  10. NSA Barrow Facility

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  11. ARM - NSA Barrow Facility

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  12. ARM - NSA Calendar

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  13. ARM - Visiting the NSA

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  14. ARM - SGP Boundary Facility

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  15. ARM - SGP Intermediate Facility

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  16. ARM - SGP Operations

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  17. ARM - Visiting the SGP

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  18. SGP Central Facility

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  19. SGP Overview Map

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  20. Evaluation of Cloud-resolving and Limited Area Model Intercomparison Simulations using TWP-ICE Observations. Part 1: Deep Convective Updraft Properties

    SciTech Connect (OSTI)

    Varble, A. C.; Zipser, Edward J.; Fridlind, Ann; Zhu, Ping; Ackerman, Andrew; Chaboureau, Jean-Pierre; Collis, Scott M.; Fan, Jiwen; Hill, Adrian; Shipway, Ben

    2014-12-27T23:59:59.000Z

    Ten 3D cloud-resolving model (CRM) simulations and four 3D limited area model (LAM) simulations of an intense mesoscale convective system observed on January 23-24, 2006 during the Tropical Warm Pool International Cloud Experiment (TWP-ICE) are compared with each other and with observed radar reflectivity fields and dual-Doppler retrievals of vertical wind speeds in an attempt to explain published results showing a high bias in simulated convective radar reflectivity aloft. This high bias results from ice water content being large, which is a product of large, strong convective updrafts, although hydrometeor size distribution assumptions modulate the size of this bias. Snow reflectivity can exceed 40 dBZ in a two-moment scheme when a constant bulk density of 100 kg m-3 is used. Making snow mass more realistically proportional to area rather than volume should somewhat alleviate this problem. Graupel, unlike snow, produces high biased reflectivity in all simulations. This is associated with large amounts of liquid water above the freezing level in updraft cores. Peak vertical velocities in deep convective updrafts are greater than dual-Doppler retrieved values, especially in the upper troposphere. Freezing of large rainwater contents lofted above the freezing level in simulated updraft cores greatly contributes to these excessive upper tropospheric vertical velocities. Strong simulated updraft cores are nearly undiluted, with some showing supercell characteristics. Decreasing horizontal grid spacing from 900 meters to 100 meters weakens strong updrafts, but not enough to match observational retrievals. Therefore, overly intense simulated updrafts may partly be a product of interactions between convective dynamics, parameterized microphysics, and large-scale environmental biases that promote different convective modes and strengths than observed.

  1. Analysis of Cloud-resolving Simulations of a Tropical Mesoscale Convective System Observed during TWP-ICE: Vertical Fluxes and Draft Properties in Convective and Stratiform Regions

    SciTech Connect (OSTI)

    Mrowiec, Agnieszka A.; Rio, Catherine; Fridlind, Ann; Ackerman, Andrew; Del Genio, Anthony D.; Pauluis, Olivier; Varble, Adam; Fan, Jiwen

    2012-10-02T23:59:59.000Z

    We analyze three cloud-resolving model simulations of a strong convective event observed during the TWP-ICE campaign, differing in dynamical core, microphysical scheme or both. Based on simulated and observed radar reflectivity, simulations roughly reproduce observed convective and stratiform precipitating areas. To identify the characteristics of convective and stratiform drafts that are difficult to observe but relevant to climate model parameterization, independent vertical wind speed thresholds are calculated to capture 90% of total convective and stratiform updraft and downdraft mass fluxes. Convective updrafts are fairly consistent across simulations (likely owing to fixed large-scale forcings and surface conditions), except that hydrometeor loadings differ substantially. Convective downdraft and stratiform updraft and downdraft mass fluxes vary notably below the melting level, but share similar vertically uniform draft velocities despite differing hydrometeor loadings. All identified convective and stratiform downdrafts contain precipitation below ~10 km and nearly all updrafts are cloudy above the melting level. Cold pool properties diverge substantially in a manner that is consistent with convective downdraft mass flux differences below the melting level. Despite differences in hydrometeor loadings and cold pool properties, convective updraft and downdraft mass fluxes are linearly correlated with convective area, the ratio of ice in downdrafts to that in updrafts is ~0.5 independent of species, and the ratio of downdraft to updraft mass flux is ~0.5-0.6, which may represent a minimum evaporation efficiency under moist conditions. Hydrometeor loading in stratiform regions is found to be a fraction of hydrometeor loading in convective regions that ranges from ~10% (graupel) to ~90% (cloud ice). These findings may lead to improved convection parameterizations.

  2. TWP Island Cloud Trail Studies

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  3. TWP-ICE Operations Plan

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  4. NSA Broadband Instrument Study: Update

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  5. ARM - SGP Radiometric Calibration Facility

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  6. ARM - SGP Rural Driving Hazards

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  7. Single-Column Modeling, GCM Parameterizations and Atmospheric Radiation Measurement Data

    SciTech Connect (OSTI)

    Somerville, R.C.J.; Iacobellis, S.F.

    2005-03-18T23:59:59.000Z

    Our overall goal is identical to that of the Atmospheric Radiation Measurement (ARM) Program: the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data at all three ARM sites, and the implementation and testing of these parameterizations in global and regional models. To test recently developed prognostic parameterizations based on detailed cloud microphysics, we have first compared single-column model (SCM) output with ARM observations at the Southern Great Plains (SGP), North Slope of Alaska (NSA) and Topical Western Pacific (TWP) sites. We focus on the predicted cloud amounts and on a suite of radiative quantities strongly dependent on clouds, such as downwelling surface shortwave radiation. Our results demonstrate the superiority of parameterizations based on comprehensive treatments of cloud microphysics and cloud-radiative interactions. At the SGP and NSA sites, the SCM results simulate the ARM measurements well and are demonstrably more realistic than typical parameterizations found in conventional operational forecasting models. At the TWP site, the model performance depends strongly on details of the scheme, and the results of our diagnostic tests suggest ways to develop improved parameterizations better suited to simulating cloud-radiation interactions in the tropics generally. These advances have made it possible to take the next step and build on this progress, by incorporating our parameterization schemes in state-of-the-art 3D atmospheric models, and diagnosing and evaluating the results using independent data. Because the improved cloud-radiation results have been obtained largely via implementing detailed and physically comprehensive cloud microphysics, we anticipate that improved predictions of hydrologic cycle components, and hence of precipitation, may also be achievable. We are currently testing the performance of our ARM-based parameterizations in state-of-the--art global and regional models. One fruitful strategy for evaluating advances in parameterizations has turned out to be using short-range numerical weather prediction as a test-bed within which to implement and improve parameterizations for modeling and predicting climate variability. The global models we have used to date are the CAM atmospheric component of the National Center for Atmospheric Research (NCAR) CCSM climate model as well as the National Centers for Environmental Prediction (NCEP) numerical weather prediction model, thus allowing testing in both climate simulation and numerical weather prediction modes. We present detailed results of these tests, demonstrating the sensitivity of model performance to changes in parameterizations.

  8. ARM - TWP Nauru Site-Inactive

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  9. FactSheet-TWP_ICE.indd

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  10. TWP-ICE Daily Synoptic Overview

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  11. ARM - Field Campaign - NSA Snow IOP

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  12. ARM - NSA Atqasuk Facility-Inactive

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  13. ARM/NSA Vehicle Use Policy

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  14. ARM/NSA Vehicle Use Policy

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  15. Tower Temperature and Humidity Sensors (TWR) Handbook

    SciTech Connect (OSTI)

    Cook, DR

    2010-02-01T23:59:59.000Z

    Three tall towers are installed at the Atmospheric Radiation Measurement (ARM) Climate Research Facility: a 60-meter triangular tower at the Southern Great Plains (SGP) Central Facility (CF), a 21-meter walkup scaffolding tower at the SGP Okmulgee forest site (E21), and a 40-meter triangular tower at the North Slope of Alaska (NSA) Barrow site. The towers are used for meteorological, radiological, and other measurements.

  16. Aerosol Retrievals from ARM SGP MFRSR Data

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

    Alexandrov, Mikhail

    The Multi-Filter Rotating Shadowband Radiometer (MFRSR) makes precise simultaneous measurements of the solar direct normal and diffuse horizontal irradiances at six wavelengths (nominally 415, 500, 615, 673, 870, and 940 nm) at short intervals (20 sec for ARM instruments) throughout the day. Time series of spectral optical depth are derived from these measurements. Besides water vapor at 940 nm, the other gaseous absorbers within the MFRSR channels are NO2 (at 415, 500, and 615 nm) and ozone (at 500, 615, and 670 nm). Aerosols and Rayleigh scattering contribute atmospheric extinction in all MFRSR channels. Our recently updated MFRSR data analysis algorithm allows us to partition the spectral aerosol optical depth into fine and coarse modes and to retrieve the fine mode effective radius. In this approach we rely on climatological amounts of NO2 from SCIAMACHY satellite retrievals and use daily ozone columns from TOMS.

  17. ARM - Field Campaign - SGP '97 (Hydrology) IOP

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  18. New Surface Meteorological Measurements at SGP,

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  19. SGP CART Site Affected by Ice Storm

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  20. Interpolation Uncertainties Across the ARM SGP Area

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  1. Title: Radar-observed convective characteristics during TWP-ICE

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  2. ARM - Tropical Warm Pool - International Cloud Experiment (TWP-ICE)

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  3. Lagrangian Diagnostics of Tropical Cirrus over TWP CART Sites

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  4. Darwin: The Third DOE ARM TWP ARCS Site

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  5. A TWP-ICE High-Level Cloud Case Study

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  6. The TWP-ICE CRM Intercomparison Specification and First Results

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  7. MISR-Derived Statistics of Cumulus Geometry at TWP Site

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  8. ARM-UAV TWP-ICE Activities and Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP UpdateRefresh Model DataStreamsTotalARM-00-001

  9. ARM-UAV TWP-ICE Payload Instrumentation Details

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP UpdateRefresh Model DataStreamsTotalARM-00-001Payload

  10. Progress on a TWP-ICE Monsoon Case Study

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70 Hg Mercury 35InformationProgramming

  11. TWP93.0100104 DOC#: TWP-DOC-1.4 SCIENCE AND SITING STRATEGY FOR THE

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations

  12. Surface and Tower Meteorological Instrumentation at NSA Handbook - January 2006

    SciTech Connect (OSTI)

    MT Ritsche

    2006-01-30T23:59:59.000Z

    The Surface and Tower Meteorological Instrumentation at Atqasuk (METTWR2H) uses mainly conventional in situ sensors to measure wind speed, wind direction, air temperature, dew point and humidity mounted on a 10-m tower. It also obtains barometric pressure, visibility, and precipitation data from sensors at or near the base of the tower. In addition, a Chilled Mirror Hygrometer is located at 1 m for comparison purposes. Temperature and relative humidity probes are mounted at 2 m and 5 m on the tower. For more information, see the Surface and Tower Meteorological Instrumentation at Atqasuk Handbook.

  13. ARM - PI Product - NSA AERI Hatch Correction Data Set

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheatProductsISDAC Microphysics

  14. Radiative Closure Studies at the NSA ACRF Site

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

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  15. Microsoft PowerPoint - nsa_shippingforminstructions.ppt

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your HomeOverviewCleanupShipping Form Instructions * How to

  16. ARM/NSA ES&H Policy Statement

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProducts (VAP) VAP UpdateRefresh ModelES&H Policy Statement November 2006

  17. A comparison of water vapor quantities from model short-range forecasts and ARM observations

    SciTech Connect (OSTI)

    Hnilo, J J

    2006-03-17T23:59:59.000Z

    Model evolution and improvement is complicated by the lack of high quality observational data. To address a major limitation of these measurements the Atmospheric Radiation Measurement (ARM) program was formed. For the second quarter ARM metric we will make use of new water vapor data that has become available, and called the 'Merged-sounding' value added product (referred to as OBS, within the text) at three sites: the North Slope of Alaska (NSA), Darwin Australia (DAR) and the Southern Great Plains (SGP) and compare these observations to model forecast data. Two time periods will be analyzed March 2000 for the SGP and October 2004 for both DAR and NSA. The merged-sounding data have been interpolated to 37 pressure levels (e.g., from 1000hPa to 100hPa at 25hPa increments) and time averaged to 3 hourly data for direct comparison to our model output.

  18. arm sgp site: Topics by E-print Network

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

    of detailed ... Waters, Richard C. 1979-10-01 25 ARM7100 Data Sheet ARM DDI 0035A Engineering Websites Summary: ARM7100 Data Sheet ARM DDI 0035A 5-1 11 1 Preliminary ARM...

  19. Merged MMCR-WSR88D Reflectivities at SGP

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

    Dong, Xiquan

    There are substantial attenuations of MMCR signals for very large LWP and during precipitation events. We have used the nearest precipitation radar (WSR-88D) to merge two measurements to better represent such selected cases. In the near future, we are going to provide all the cumulus cases from Jan. 1997 to present whenever the two datasets are available. The original 2 data sets:

  20. sgp_stratus_poster_v1.0.ppt

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

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  1. ARM - Field Campaign - Measuring Clouds at SGP with Stereo Photogrammetry

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  2. ARM - Publications: Science Team Meeting Documents: The SGP Aerosol

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  3. * SGP Central Facility - surrounded by wheat felds, the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal Advanced Materials AdvancedOilin the

  4. New Atmospheric Profiling Instrument Added to SGP CART Suite

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  5. New Eddy Correlation System for ARM SGP Site

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  6. ARM - PI Product - Aerosol Retrievals from ARM SGP MFRSR Data

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheat fluxChinaNews :ProductsAerosol Retrievals from ARM

  7. Continental Liquid-phase Stratus Clouds at SGP: Meteorological Influences

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration would likeConstitution And Bylaws |Contact UsContactsContemplating

  8. Surface Albedo at ARM SGP from Helicopter Observations

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  9. Simultaneous Spectral Albedo Measurements Near the ARM SGP Central Facility

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9Morgan McCorkle CommunicationsSimultaneous Spectral

  10. CIMEL Measurements of Zenith Radiances at the ARM SGP Site

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

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  11. An Overview of the SGP Tandem Differential Mobility Analyzer

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  12. Investigation of Unusual Albedos in the SGP Domain

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  13. Deployment of a New Shortwave Spectroradiometer (SWS) at the SGP

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  14. Direct Aerosol Forcing in the Infrared at the SGP Site?

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign: Potential ApplicationYu,EnergyDimitriDirac

  15. Parameterizing Size Distribution in Ice Clouds

    SciTech Connect (OSTI)

    DeSlover, Daniel; Mitchell, David L.

    2009-09-25T23:59:59.000Z

    PARAMETERIZING SIZE DISTRIBUTIONS IN ICE CLOUDS David L. Mitchell and Daniel H. DeSlover ABSTRACT An outstanding problem that contributes considerable uncertainty to Global Climate Model (GCM) predictions of future climate is the characterization of ice particle sizes in cirrus clouds. Recent parameterizations of ice cloud effective diameter differ by a factor of three, which, for overcast conditions, often translate to changes in outgoing longwave radiation (OLR) of 55 W m-2 or more. Much of this uncertainty in cirrus particle sizes is related to the problem of ice particle shattering during in situ sampling of the ice particle size distribution (PSD). Ice particles often shatter into many smaller ice fragments upon collision with the rim of the probe inlet tube. These small ice artifacts are counted as real ice crystals, resulting in anomalously high concentrations of small ice crystals (D < 100 m) and underestimates of the mean and effective size of the PSD. Half of the cirrus cloud optical depth calculated from these in situ measurements can be due to this shattering phenomenon. Another challenge is the determination of ice and liquid water amounts in mixed phase clouds. Mixed phase clouds in the Arctic contain mostly liquid water, and the presence of ice is important for determining their lifecycle. Colder high clouds between -20 and -36 oC may also be mixed phase but in this case their condensate is mostly ice with low levels of liquid water. Rather than affecting their lifecycle, the presence of liquid dramatically affects the cloud optical properties, which affects cloud-climate feedback processes in GCMs. This project has made advancements in solving both of these problems. Regarding the first problem, PSD in ice clouds are uncertain due to the inability to reliably measure the concentrations of the smallest crystals (D < 100 m), known as the small mode. Rather than using in situ probe measurements aboard aircraft, we employed a treatment of ice cloud optical properties formulated in terms of PSD parameters in combination with remote measurements of thermal radiances to characterize the small mode. This is possible since the absorption efficiency (Qabs) of small mode crystals is larger at 12 m wavelength relative to 11 m wavelength due to the process of wave resonance or photon tunneling more active at 12 m. This makes the 12/11 m absorption optical depth ratio (or equivalently the 12/11 m Qabs ratio) a means for detecting the relative concentration of small ice particles in cirrus. Using this principle, this project tested and developed PSD schemes that can help characterize cirrus clouds at each of the three ARM sites: SGP, NSA and TWP. This was the main effort of this project. These PSD schemes and ice sedimentation velocities predicted from them have been used to test the new cirrus microphysics parameterization in the GCM known as the Community Climate Systems Model (CCSM) as part of an ongoing collaboration with NCAR. Regarding the second problem, we developed and did preliminary testing on a passive thermal method for retrieving the total water path (TWP) of Arctic mixed phase clouds where TWPs are often in the range of 20 to 130 g m-2 (difficult for microwave radiometers to accurately measure). We also developed a new radar method for retrieving the cloud ice water content (IWC), which can be vertically integrated to yield the ice water path (IWP). These techniques were combined to determine the IWP and liquid water path (LWP) in Arctic clouds, and hence the fraction of ice and liquid water. We have tested this approach using a case study from the ARM field campaign called M-PACE (Mixed-Phase Arctic Cloud Experiment). This research led to a new satellite remote sensing method that appears promising for detecting low levels of liquid water in high clouds typically between -20 and -36 oC. We hope to develop this method in future research.

  16. Cloud Property Retrieval Products for Graciosa Island, Azores

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

    Dong, Xiquan

    The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets number concentration, and optical thickness. These retrieved properties have been used to validate the satellite retrieval, and evaluate the climate simulations and reanalyses. We had been using this method to retrieve cloud microphysical properties over ARM SGP and NSA sites. We also modified the method for the AMF at Shouxian, China and some IOPs, e.g. ARM IOP at SGP in March, 2000. The ARSCL data from ARM data archive over the SGP and NSA have been used to determine the cloud boundary and cloud phase. For these ARM permanent sites, the ARSCL data was developed based on MMCR measurements, however, there were no data available at the Azores field campaign. We followed the steps to generate this derived product and also include the MPLCMASK cloud retrievals to determine the most accurate cloud boundaries, including the thin cirrus clouds that WACR may under-detect. We use these as input to retrieve the cloud microphysical properties. Due to the different temporal resolutions of the derived cloud boundary heights product and the cloud properties product, we submit them as two separate netcdf files.

  17. OBSERVATIONS AND PARAMETERIZATION OF BOUNDARY LAYER STRUCTURES AND CLOUDS AT THE ARM TWP NAURU SITE

    E-Print Network [OSTI]

    .S. Department of Energy. The publisher by accepting the manuscript for publication acknowledges that the United-time winds observed at Nauru are very steady from the East during the entire observing period. An excellent of the island) from satellite estimates and the temperature, moisture, and wind observations from the Nauru site

  18. ARM - Field Campaign - AIRS Validation Soundings Phase IV and V-TWP

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  19. Using ARM TWP Nauru Observations to Evaluate a Simple Thermodynamic Model

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrinceton PlasmaAfternoon4.CCSM4large.jpgbriefingUses of radiationof

  20. Validation of Cloud Properties Derived from GOES-9 Over the ARM TWP Region

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  1. ARM - PI Product - Cloud Properties and Radiative Heating Rates for TWP

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheat fluxChinaNews :ProductsAerosolProductsCSSEF

  2. Cumulus Geometry from Satellite and Surface Data at the ARM TWP Site

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  3. Finite Cloud Effects at the ACRF TWP Site Patrick Taylor and Robert G. Ellingson

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

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  4. Heating Profiles Derived From Cm-wavelength Radar During TWP-ICE

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cn SunnybankD.jpgHanfordDepartment ofHeat Transfer in GEHoliday

  5. How Representative are the Cloud Regimes at the TWP Sites? … An ISCCP Perspective

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School football Highdefault SignInstitute /Do WindWorksMight aDoHowHow

  6. ARM Tropical Western Pacific (TWP) Operations Management and Support: Securing ARM Data

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  7. Microsoft PowerPoint - TWP-ICE_2006Nov_Rad.ppt

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE SWPA / SPRA / USACETWP-ICE: Surface Radiation

  8. Progress on an ARM/GCSS/SPARC TWP-ICE Monsoon Case Study

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70 Hg Mercury 35InformationProgrammingProgress on an

  9. Radiation Dry Bias in the TWP-ICE Radiosonde Soundings Solar Zenith Angle Correction Factor

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  10. Dead-time Corrected Disdrometer Data

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

    Bartholomew, Mary Jane

    Original and dead-time corrected disdrometer results for observations made at SGP and TWP. The correction is based on the technique discussed in Sheppard and Joe, 1994. In addition, these files contain calculated radar reflectivity factor, mean Doppler velocity and attenuation for every measurement for both the original and dead-time corrected data at the following wavelengths: 0.316, 0.856, 3.2, 5, and 10cm (W,K,X,C,S bands). Pavlos Kollias provided the code to do these calculations.

  11. Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds

    SciTech Connect (OSTI)

    Richard A. Ferrare; David D. Turner

    2011-09-01T23:59:59.000Z

    Project goals: (1) Use the routine surface and airborne measurements at the ARM SGP site, and the routine surface measurements at the NSA site, to continue our evaluations of model aerosol simulations; (2) Determine the degree to which the Raman lidar measurements of water vapor and aerosol scattering and extinction can be used to remotely characterize the aerosol humidification factor; (3) Use the high temporal resolution CARL data to examine how aerosol properties vary near clouds; and (4) Use the high temporal resolution CARL and Atmospheric Emitted Radiance Interferometer (AERI) data to quantify entrainment in optically thin continental cumulus clouds.

  12. Eddy Correlation Flux Measurement System (ECOR) Handbook

    SciTech Connect (OSTI)

    Cook, DR

    2011-01-31T23:59:59.000Z

    The eddy correlation (ECOR) flux measurement system provides in situ, half-hour measurements of the surface turbulent fluxes of momentum, sensible heat, latent heat, and carbon dioxide (CO2) (and methane at one Southern Great Plains extended facility (SGP EF) and the North Slope of Alaska Central Facility (NSA CF). The fluxes are obtained with the eddy covariance technique, which involves correlation of the vertical wind component with the horizontal wind component, the air temperature, the water vapor density, and the CO2 concentration.

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

    SciTech Connect (OSTI)

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

    2005-03-18T23:59:59.000Z

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

  14. ARM - Evaluation Product - NSA-Barrow AmeriFlux and Methane VAP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006Datastreamstwrcam40m Documentation DataDatastreamsxsaprhsrhi1-minProductsMicroPulse LIDAR Cloud

  15. ARM - Field Campaign - AIRS Validation Soundings Phase IV and V-NSA

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76)ARM2, 2006 [FacilityMissiongovCampaignsAIRSIII ARM

  16. ARM - Field Campaign - ARM Radiosondes for NPOESS/NPP Validation - NSA

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

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  17. New ARM Data Stream: Surface Images at NSA/AAO Sites in Barrow and Atqasuk

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

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  18. Short-Term Arctic Cloud Statistics at NSA from the Infrared Cloud Imager

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

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  19. Analysis of Selected Radiosonde Data from the ARM/NSA Site

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

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  20. Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral MODIS Data

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

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  1. STUDY OF CLOUD LIFETIME EFFECTS USING THE SGP HETEROGENEOUS DISTRIBUTED RADAR NETWORK: PRELIMINARY CONSIDERATIONS

    E-Print Network [OSTI]

    stages of cloud development. Here, we express cloud life cycle in terms of the temporal evolution-dimensional morphology and life cycle of clouds. Detailing key cloud processes as they transit from the formation stage National Laboratory For presentation at The Second Science Team Meeting of the Atmospheric System Research

  2. OFFLINE EVALUATION OF SIX SURFACE LAYER PARAMETERIZATION SCHEMES AGAINST OBSERVATIONS AT THE ARM SGP SITE

    E-Print Network [OSTI]

    ) and EBBR (Energy Balance Bowen Ratio) methods. To minimize potential feedback influences resulting from. The publisher by accepting the manuscript for publication acknowledges that the United States Government retains of this manuscript, or allow others to do so, for United States Government purposes. BNL-94806-2011-AB #12;

  3. Evaluation of Precipitation Simulated by Seven SCMs against the ARM Observations at the SGP Site*

    E-Print Network [OSTI]

    Ohta, Shigemi

    System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China. Corresponding://dx.doi.org/10.1175/JCLI- D-00263.s1. 11 Current affiliation: Ministry of Education Key Laboratory for Earth

  4. ARM - Field Campaign - ARM Radiosondes for NPOESS/NPP Validation - SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, Feature Stories and8,3,9,Ship-Based Ice

  5. ARM - Field Campaign - AIRS Validation Soundings Phase IV and V-SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76)ARM2, 2006 [FacilityMissiongovCampaignsAIRSIII

  6. ARM - Field Campaign - Ground-based Cloud Tomography Experiment at SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8LigovCampaignsCLEX-5govCampaignsFall 1997

  7. ARM - Publications: Science Team Meeting Documents: Clouds over the ARM SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa-Anomalous Radiative AbsorptionARM InArctic Facility forof several GCMs toairatNetwork

  8. Preliminary Analysis of ARM SGP Area Sky Cover and Downwelling SW Irradiance

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah ProjectPRE-AWARD ACCOUNTING SYSTEMMeso-ScalePPO

  9. Preliminary Analysis of Surface Radiation Measurement Data Quality at the SGP Extended Facilities

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

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  10. Validation of Satellite-Derived Liquid Water Paths Using ARM SGP Microwave Radiometers

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

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  11. Validation of the ARchived CERES Surface and Atmosphere Radiation Budget at SGP

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

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  12. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval for SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheat fluxChinaNews : AMFAlaskaNewsOxidesMC3E

  13. ARM - PI Product - AERIoe Thermodynamic Profile and Cloud Retrieval for SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheat fluxChinaNews : AMFAlaskaNewsOxidesMC3ECF during

  14. ARM - PI Product - Merged MMCR-WSR88D Reflectivities at SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheatProductsISDAC Microphysics ARM

  15. ARM - PI Product - Soundings from SGP, June 2014 Sonde Comparison Study

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadap Documentation TDMADAP : XDCnarrowbandheatProductsISDACProductsRadiativeProductsSoundings from

  16. An Improved Cloud Classification Algorithm Based on the SGP CART Site Observations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta FeAuthorization| Department AnAn

  17. Measuring the Raindrop Size Distribution, ARM's Efforts at Darwin and SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals from a NewCuneo Matthew1, 20121+ CrossMeasuring the

  18. Infrared Land Surface Emissivity in the Vicinity of the ARM SGP Central Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link toInfluence ofQuickdegreeInfrared Land

  19. Initial Evaluation of the Cumulus Potential Scheme at the ACRF SGP Site

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

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  20. Investigation of SGP Atmospheric Moisture Budget for CLASIC … Recycling Study

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12 Investigation Peer Review 2012 May 9, 2012 Subject: Budget

  1. Techniques and Methods Used to Determine the Best Estimate of Radiation Fluxes at SGP Central Facility

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

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  2. The Effect of Precipitation on Variability of Low Stratiform Clouds Over ARM SGP Site

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

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  3. ARM SGP and BN AERI Instrument Diagnostic Comparison and Preliminary Assessment

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

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  4. Searching for Global Dimming Evidence at SGP and Update of ARM Submissions to BSRN

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

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  5. Senator Myers Tours SGP CART Site Technical Contact: James C. Liljegren

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz is TakingDepartment ofDepartmentSeminars Senator Myers

  6. Observed and Simulated Cirrus Cloud Properties at the SGP CART Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeeding accessSpeeding access(SC)Gas andSurface Reflectanceand

  7. Determination of Ice Water Path Over the ARM SGP Using Combined Surface and Satellite Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign: Potential Application to ARM

  8. ARM Multi-Filter Rotating Shadowband Radiometer (MFRSR): irradiances

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

    Hodges, Gary

    The multifilter rotating shadowband radiometer (MFRSR) takes spectral measurements of direct normal, diffuse horizontal and total horizontal solar irradiances. These measurements are at nominal wavelengths of 415, 500, 615, 673, 870, and 940 nm. The measurements are made at a user-specified time interval, usually about one minute or less. The sampling rate for the Atmospheric Radiation Measurement (ARM) Climate Research Facility MFRSRs is 20 seconds. From such measurements, one may infer the atmosphere's optical depth at the wavelengths mentioned above. In turn, these optical depths may be used to derive information about the column abundances of ozone and water vapor (Michalsky et al. 1995), as well as aerosol (Michalsky et al. 1994) and other atmospheric constituents. A silicon detector is also part of the MFRSR. This detector provides a measure of the broadband direct normal, diffuse horizontal and total horizontal solar irradiances. A MFRSR head that is mounted to look vertically downward can measure upwelling spectral irradiances. In the ARM system, this instrument is called a multifilter radiometer (MFR). At the Southern Great Plains (SGP) there are two MFRs; one mounted at the 10-m height and the other at 25 m. At the North Slope of Alaska (NSA) sites, the MFRs are mounted at 10 m. MFRSR heads are also used to measure normal incidence radiation by mounting on a solar tracking device. These are referred to as normal incidence multi-filter radiometers (NIMFRs) and are located at the SGP and NSA sites. Another specialized use for the MFRSR is the narrow field of view (NFOV) instrument located at SGP. The NFOV is a ground-based radiometer (MFRSR head) that looks straight up.

  9. Anvil characteristics as seen by C-POL during the Tropical Warm Pool International Cloud Experiment (TWP-ICE)

    E-Print Network [OSTI]

    Frederick, Kaycee Loretta

    2007-04-25T23:59:59.000Z

    the month-long field campaign. The morphology, evolution, and longevity of the anvil were analyzed as well as the relationship of the anvil to the rest of the precipitating system. In addition, idealized in-cloud radiative heating profiles were created based...

  10. C-Band Scanning ARM Precipitation Radar (C-SAPR) Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N

    2012-11-13T23:59:59.000Z

    The C-band scanning ARM precipitation radar (C-SAPR) is a scanning polarimetric Doppler radar transmitting simultaneously in both H and V polarizations. With a 350-kW magnetron transmitter, this puts 125 kW of transmitted power for each polarization. The receiver for the C-SAPR is a National Center for Atmospheric Research (NCAR) -developed Hi-Q system operating in a coherent-on-receive mode. The ARM Climate Research Facility operates two C-SAPRs; one of them is deployed near the Southern Great Plains (SGP) Central Facility near the triangular array of X-SAPRs, and the second C-SAPR is deployed at ARMs Tropical Western Pacific (TWP) site on Manus Island in Papua New Guinea.

  11. Atmosphere-Land-Surface Interaction over the Southern Great Plains: Diagnosis of Mechanisms from SGP ARM Data

    SciTech Connect (OSTI)

    Sumant Nigam

    2013-02-01T23:59:59.000Z

    Work reported included analysis of pentad (5 day) averaged data, proposal of a hypothesis concerning the key role of the Atlantic Multi-decadal Oscillation in 20th century drought and wet periods over the Great Plains, analysis of recurrent super-synoptic evolution of the Great Plains low-level jet, and study of pentad evolution of the 1988 drought and 1993 flood over the Great Plains from a NARR perspective on the atmospheric and terrestrial water balance.

  12. Towards Development of a Synthesized Database of Spatial and Temporal Surface Spectral Reflectivity Over the ARM SGP CART Area

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

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  13. ER2 Instrumentation and Measurements for CLASIC (Cloud Land Surface Interaction Campaign) June-2007 SGP {Author-Jimmy Voyles}

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  14. Effective Radius of Cloud Droplets Derived from Ground-based Remote Sensing at the ARM SGP site

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

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  15. New Visible to Broadband Shortwave Conversions for Deriving Albedos from GOES-8 Over the ARM-SGP

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

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  16. Asymmetry in the Diurnal Cycle of Atmospheric Downwelling Radiation at the ARM SGP CF Site Over 1995-2001 Period

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperational ManagementDemand Module This AssuranceAsymmetry in

  17. Month-Long 2D Cloud-Resolving Model Simulation and Resultant Statistics of Cloud Systems Over the ARM SGP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'.Solar Thermal Solar ThermalJul 13 1Fundamentals

  18. Surface Di-directional Reflectance Properties Over the ARM SGP Area from Satellite Multi-Platform Observations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructure ofIndustrialSupportingAlbedo at the Atmospheric

  19. Surface Spectral Albedo Intensive Operational Period at the ARM SGP Site in august 2002: Results, Analysis, and Future Plans

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructure ofIndustrialSupportingAlbedo at theSurface Soil Surface

  20. Remotely Controlled, Continuous Observations of Infrared Radiance with the CSIRO/ARM Mark II Radiometer at the SGP CART Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Technical s o Freiberge s 3 c/) ReleaseRemoteRemotely Controlled,

  1. Techniques and Methods Used to Determine the Aerosol Best Estimate Value-Added Product at SGP Central Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructureProposedPAGESafety Tag:8,, 20153 To.T. J. Determine the

  2. Satellite and Surface Data Synergy for Developing a 3D Cloud Structure and Properties Characterization Over the ARM SGP. S...

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiationImplementingnpitcheResearch Briefs TheSanket A. Deshmukh ArgonneSanta8Sarah14

  3. Diurnal Cycle of Convection at the ARM SGP Site: Role of Large-Scale Forcing, Surface Fluxes, and Convective Inhibition

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA : Papers SubfoldersU.S.PV FORDistrict TechnicalDiurnal

  4. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties

    SciTech Connect (OSTI)

    Wang, Zhien

    2010-06-29T23:59:59.000Z

    The project is mainly focused on the characterization of cloud macrophysical and microphysical properties, especially for mixed-phased clouds and middle level ice clouds by combining radar, lidar, and radiometer measurements available from the ACRF sites. First, an advanced mixed-phase cloud retrieval algorithm will be developed to cover all mixed-phase clouds observed at the ACRF NSA site. The algorithm will be applied to the ACRF NSA observations to generate a long-term arctic mixed-phase cloud product for model validations and arctic mixed-phase cloud processes studies. To improve the representation of arctic mixed-phase clouds in GCMs, an advanced understanding of mixed-phase cloud processes is needed. By combining retrieved mixed-phase cloud microphysical properties with in situ data and large-scale meteorological data, the project aim to better understand the generations of ice crystals in supercooled water clouds, the maintenance mechanisms of the arctic mixed-phase clouds, and their connections with large-scale dynamics. The project will try to develop a new retrieval algorithm to study more complex mixed-phase clouds observed at the ACRF SGP site. Compared with optically thin ice clouds, optically thick middle level ice clouds are less studied because of limited available tools. The project will develop a new two wavelength radar technique for optically thick ice cloud study at SGP site by combining the MMCR with the W-band radar measurements. With this new algorithm, the SGP site will have a better capability to study all ice clouds. Another area of the proposal is to generate long-term cloud type classification product for the multiple ACRF sites. The cloud type classification product will not only facilitates the generation of the integrated cloud product by applying different retrieval algorithms to different types of clouds operationally, but will also support other research to better understand cloud properties and to validate model simulations. The ultimate goal is to improve our cloud classification algorithm into a VAP.

  5. Evaluating cloud retrieval algorithms with the ARM BBHRP framework

    SciTech Connect (OSTI)

    Mlawer,E.; Dunn,M.; Mlawer, E.; Shippert, T.; Troyan, D.; Johnson, K. L.; Miller, M. A.; Delamere, J.; Turner, D. D.; Jensen, M. P.; Flynn, C.; Shupe, M.; Comstock, J.; Long, C. N.; Clough, S. T.; Sivaraman, C.; Khaiyer, M.; Xie, S.; Rutan, D.; Minnis, P.

    2008-03-10T23:59:59.000Z

    Climate and weather prediction models require accurate calculations of vertical profiles of radiative heating. Although heating rate calculations cannot be directly validated due to the lack of corresponding observations, surface and top-of-atmosphere measurements can indirectly establish the quality of computed heating rates through validation of the calculated irradiances at the atmospheric boundaries. The ARM Broadband Heating Rate Profile (BBHRP) project, a collaboration of all the working groups in the program, was designed with these heating rate validations as a key objective. Given the large dependence of radiative heating rates on cloud properties, a critical component of BBHRP radiative closure analyses has been the evaluation of cloud microphysical retrieval algorithms. This evaluation is an important step in establishing the necessary confidence in the continuous profiles of computed radiative heating rates produced by BBHRP at the ARM Climate Research Facility (ACRF) sites that are needed for modeling studies. This poster details the continued effort to evaluate cloud property retrieval algorithms within the BBHRP framework, a key focus of the project this year. A requirement for the computation of accurate heating rate profiles is a robust cloud microphysical product that captures the occurrence, height, and phase of clouds above each ACRF site. Various approaches to retrieve the microphysical properties of liquid, ice, and mixed-phase clouds have been processed in BBHRP for the ACRF Southern Great Plains (SGP) and the North Slope of Alaska (NSA) sites. These retrieval methods span a range of assumptions concerning the parameterization of cloud location, particle density, size, shape, and involve different measurement sources. We will present the radiative closure results from several different retrieval approaches for the SGP site, including those from Microbase, the current 'reference' retrieval approach in BBHRP. At the NSA, mixed-phase clouds and cloud with a low optical depth are prevalent; the radiative closure studies using Microbase demonstrated significant residuals. As an alternative to Microbase at NSA, the Shupe-Turner cloud property retrieval algorithm, aimed at improving the partitioning of cloud phase and incorporating more constrained, conditional microphysics retrievals, also has been evaluated using the BBHRP data set.

  6. Millimeter-Wavelength Forward-Model Comparisons Based on Ground-Based Radiometric Data Taken During the 1999 NSA/AO Radiometric Experiment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE625Data ShowCDevelopment ofMiller winsGases,

  7. Comparison of Cloud Fraction and Liquid Water Path between ECMWF simulations and ARM long-term Observations at the NSA Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration would like submit the followingth Lomonosov1CompactComparison ofposter,

  8. Measurement of Boundary-Layer Temperature Profiles by a Scanning 5-MM Radiometer During the 1999 Winter NSA/AAO Radiometer Exp

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals from a NewCuneo Matthew1, 20121 H( 7 Be,Boundary-Layer

  9. LandUse/Land Cover Map of the CF of ARM in the SGP Site Using DOE's Multispectral Thermal Imager (MTI) Satellite Images

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electron 9 5 - -/e),,sand CERNLand and Asset Transfer

  10. Measurement and Modeling of Vertically Resolved Aerosol Optical Properties and Radiative Fluxes Over the ARM SGP Site During the May 2003 Aerosol IOP

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals from a NewCuneo Matthew1, 20121 H( 7 Be,

  11. Careers in Government for Mathematicians

    E-Print Network [OSTI]

    Edray Herber Goins

    2011-09-20T23:59:59.000Z

    Sep 22, 2011 ... The National Security Agency/Central Security Service. (NSA/CSS) is a ... NSA's mission is to collect information that constitutes foreign.

  12. Determination of Large-Scale Cloud Ice Water Concentration by Combining Surface Radar and Satellite Data in Support of ARM SCM Activities

    SciTech Connect (OSTI)

    Liu, Guosheng

    2013-03-15T23:59:59.000Z

    Single-column modeling (SCM) is one of the key elements of Atmospheric Radiation Measurement (ARM) research initiatives for the development and testing of various physical parameterizations to be used in general circulation models (GCMs). The data required for use with an SCM include observed vertical profiles of temperature, water vapor, and condensed water, as well as the large-scale vertical motion and tendencies of temperature, water vapor, and condensed water due to horizontal advection. Surface-based measurements operated at ARM sites and upper-air sounding networks supply most of the required variables for model inputs, but do not provide the horizontal advection term of condensed water. Since surface cloud radar and microwave radiometer observations at ARM sites are single-point measurements, they can provide the amount of condensed water at the location of observation sites, but not a horizontal distribution of condensed water contents. Consequently, observational data for the large-scale advection tendencies of condensed water have not been available to the ARM cloud modeling community based on surface observations alone. This lack of advection data of water condensate could cause large uncertainties in SCM simulations. Additionally, to evaluate GCMsâ?? cloud physical parameterization, we need to compare GCM results with observed cloud water amounts over a scale that is large enough to be comparable to what a GCM grid represents. To this end, the point-measurements at ARM surface sites are again not adequate. Therefore, cloud water observations over a large area are needed. The main goal of this project is to retrieve ice water contents over an area of 10 x 10 deg. surrounding the ARM sites by combining surface and satellite observations. Built on the progress made during previous ARM research, we have conducted the retrievals of 3-dimensional ice water content by combining surface radar/radiometer and satellite measurements, and have produced 3-D cloud ice water contents in support of cloud modeling activities. The approach of the study is to expand a (surface) point measurement to an (satellite) area measurement. That is, the study takes the advantage of the high quality cloud measurements (particularly cloud radar and microwave radiometer measurements) at the point of the ARM sites. We use the cloud ice water characteristics derived from the point measurement to guide/constrain a satellite retrieval algorithm, then use the satellite algorithm to derive the 3-D cloud ice water distributions within an 10?° (latitude) x 10?° (longitude) area. During the research period, we have developed, validated and improved our cloud ice water retrievals, and have produced and archived at ARM website as a PI-product of the 3-D cloud ice water contents using combined satellite high-frequency microwave and surface radar observations for SGP March 2000 IOP and TWP-ICE 2006 IOP over 10 deg. x 10 deg. area centered at ARM SGP central facility and Darwin sites. We have also worked on validation of the 3-D ice water product by CloudSat data, synergy with visible/infrared cloud ice water retrievals for better results at low ice water conditions, and created a long-term (several years) of ice water climatology in 10 x 10 deg. area of ARM SGP and TWP sites and then compared it with GCMs.

  13. Jaargang39//omdetweewekentiJdenshetacademieJaar h t s t u d e n t e n b l a d v a n d e u n i v e r s i t e i t g e n t n 533, 4 november 2013

    E-Print Network [OSTI]

    haar twee oren slapen. De wereld is een stuk veiliger nu de NSA haar nauwgezet in de gaten houdt. Al

  14. High Spectral Resolution Infrared and Raman Lidar Observations for the ARM Program: Clear and Cloudy Sky Applications

    SciTech Connect (OSTI)

    Henry Revercomb, David Tobin, Robert Knuteson, Lori Borg, Leslie Moy

    2009-06-17T23:59:59.000Z

    This grant began with the development of the Atmospheric Emitted Radiance Interferometer (AERI) for ARM. The AERI has provided highly accurate and reliable observations of downwelling spectral radiance (Knuteson et al. 2004a, 2004b) for application to radiative transfer, remote sensing of boundary layer temperature and water vapor, and cloud characterization. One of the major contributions of the ARM program has been its success in improving radiation calculation capabilities for models and remote sensing that evolved from the multi-year, clear-sky spectral radiance comparisons between AERI radiances and line-by-line calculations (Turner et al. 2004). This effort also spurred us to play a central role in improving the accuracy of water vapor measurements, again helping ARM lead the way in the community (Turner et al. 2003a, Revercomb et al. 2003). In order to add high-altitude downlooking AERI-like observations over the ARM sites, we began the development of an airborne AERI instrument that has become known as the Scanning High-resolution Interferometer Sounder (Scanning-HIS). This instrument has become an integral part of the ARM Unmanned Aerospace Vehicle (ARM-UAV) program. It provides both a cross-track mapping view of the earth and an uplooking view from the 12-15 km altitude of the Scaled Composites Proteus aircraft when flown over the ARM sites for IOPs. It has successfully participated in the first two legs of the grand tour of the ARM sites (SGP and NSA), resulting in a very good comparison with AIRS observations in 2002 and in an especially interesting data set from the arctic during the Mixed-Phase Cloud Experiment (M-PACE) in 2004. More specifically, our major achievements for ARM include 1. Development of the Atmospheric Emitted Radiance Interferometer (AERI) to function like a satellite on the ground for ARM, providing a steady stream of accurately calibrated spectral radiances for Science Team clear sky and cloud applications (Knuteson et al. 2004a), 2. Detailed radiometric calibration and characterization of AERI radiances, with uncertainty estimates established from complete error analyses and proven by inter-comparison tests (Knuteson et al. 2004b), 3. AERI data quality assessment and maintenance over the extended time frames needed to support ARM (Dedecker et al., 2005) 4. Key role in the radiative transfer model improvements from the AERI/LBLRTM QME (Turner et al. 2004) and AERI-ER especially from the SHEBA experiment (Tobin et al. 1999), 5. Contributed scientific and programmatic leadership leading to significant water vapor accuracy improvements and uncertainty assessments for the low to mid troposphere (Turner et al. 2003a, Revercomb et al. 2003), 6. Leadership of the ARM assessment of the accuracy of water vapor observations from radiosondes, Raman Lidar and in situ aircraft observations in the upper troposphere and lower stratosphere (Tobin et al. 2002, Ferrare et al. 2004), 7. New techniques for characterizing clouds from AERI (DeSlover et al. 1999, Turner 2003b, Turner et al. 2003b), 8. Initial design and development of the Scanning-HIS aircraft instrument and application to ARM UAV Program missions (Revercomb et al. 2005), and 9. Coordinated efforts leading to the use of ARM observations as a key validation tool for the high resolution Atmospheric IR Sounder on the NASA Aqua platform (Tobin et al. 2005a) 10. Performed ARM site and global clear sky radiative closure studies that shows closure of top-of-atmosphere flux at the level of ~1 W/m2 (Moy et al 2008 and Section 3 of this appendix) 11. Performed studies to characterize SGP site cirrus cloud property retrievals and assess impacts on computed fluxes and heating rate profiles (Borg et al. 2008 and Section 2 of this appendix).

  15. Erfolg ist eine Frage der Technik. Und des richtigen Timings.

    E-Print Network [OSTI]

    Ulm, Universitt

    2014 in Karlsruhe. The Siemens Graduate Program siemens.com/careers/sgp Das Siemens Graduate Program Tag fr Technikbegeisterte. Tauchen Sie ein in das Siemens Graduate Program (SGP) das internationale von Siemens. Die Highlights: Sie stehen kurz vor dem Abschluss Ihres technischen oder naturwissen

  16. Decision Fusion and Supervisor Synthesis in Decentralized Discrete-Event Systems

    E-Print Network [OSTI]

    Kwatny, Harry G.

    Decision Fusion and Supervisor Synthesis in Decentralized Discrete-Event Systems Joseph H. Prossery supervisory control ar- chitecture involving decision fusion. We formulate two problems that extend GP and SGP. These are GP with Fusion (GPF) and SGP with Fusion (SGPF). Our main result is a set of local supervisors

  17. EFFECTS OF WATER INJECTION INTO FRACTURED GEOTHERMAL RESERVOIRS

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-57 SGP-TR-57 EFFECTS OF WATER INJECTION INTO FRACTURED GEOTHERMAL RESERVOIRS: A SUMMARY INTO FRACTURED GEOTHERMAL RESERVOIRS A SUMMARY OP EXPERImCE WORtDWIDE Roland N. Horne Stanford University ABSTRACT Reinjection of water i n t o fractured geothermal reservoirs holds potential both f o r

  18. Modeling the Effects of Oyster Reefs and Breakwaters on Seagrass Growth

    E-Print Network [OSTI]

    North, Elizabeth W.

    like breakwaters by attenu- ating waves, thus decreasing sediment resuspension. We developed a quasi), a parameter controlled by resuspension-induced turbidity, was calculated in simulations in which wave height influencing SGP, with higher waves increasing sediment resuspension and decreasing SGP. Submerged breakwaters

  19. NETL F 451.1/1-1, Categorical Exclusion Designation Form

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

    Not Procured Yet South Park Twp, PA NA FEOIOSOD Robert Noll Building 921 Chiller Replacement (NETL Pittsburgh) Replace existing chiller on west roof of Building 921. Work will...

  20. NERSC/DOE FES Requirements Workshop Worksheet - Zhihong Lin

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

    Center and GPS-TTBP Center Principal Investigator Zhihong Lin Participating Organizations University of California, Irvine Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2....

  1. NERSC/DOE BES Requirements Workshop Worksheet - Tony Ladd

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

    Principal Investigator Tony Ladd Participating Organizations University of Florida University of Warsaw Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project...

  2. NERSC/DOE FES Requirements Workshop Worksheet - Kai Germaschewski

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

    and Turbulence Principal Investigator Amitava Bhattacharjee Participating Organizations University of New Hampshire Dartmouth College Funding Agencies DOE SC DOE NSA NSF NOAA NIH...

  3. NERSC/DOE FES Requirements Workshop Worksheet - John Ludlow

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

    National Laboratory Los Alamos National Laboratory University of Strathclyde Queen's University of Belfast Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: EAEC, IAEA 2....

  4. NERSC/DOE BES Requirements Workshop Worksheet - Peter Cummings

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

    Fluids Principal Investigator Peter Cummings Participating Organizations Vanderbilt University Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: DOEEERE 2. Project Summary...

  5. NERSC/DOE BES Requirements Workshop Worksheet - Burkhard Militzer

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

    Pressure Materials Principal Investigator Burkhard Militzer Participating Organizations University of California, Berkeley Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2....

  6. NERSC/DOE BES Requirements Workshop Worksheet - Randy Cygan

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

    Sandia National Laboratories Michigan State University Northwestern University Purdue University Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary &...

  7. NERSC/DOE BES Requirements Workshop Worksheet - Hai-Ping Cheng

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

    Cheng Project Title Principal Investigator Hai-Ping Cheng Participating Organizations University of Florida Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project...

  8. Global behavior of a multi-group SIS epidemic model with age ...

    E-Print Network [OSTI]

    2005-10-22T23:59:59.000Z

    Dec 10, 2004 ... Security Agency (NSA) and Alfred P. Sloan Foundation. ... into the model may provide additional and important information which may be...

  9. elliptic curves and icosahedral galois representations

    E-Print Network [OSTI]

    2002-10-24T23:59:59.000Z

    Physical Science Consortium (NSPC) and the National Security Agency (NSA). ..... Information about the splitting field of a quartic polynomial is well-known;...

  10. DUALITY FOR MODULES OVER FINITE RINGS AND APPLICATIONS TO CODING THEORY

    E-Print Network [OSTI]

    Wood, Jay

    by NSA grants MDA904-91-H-0029, MDA904-94-H-2025, and MDA904-96-1-0067, and by Purdue University Calumet

  11. DUALITY FOR MODULES OVER FINITE RINGS AND APPLICATIONS TO CODING THEORY

    E-Print Network [OSTI]

    Wood, Jay

    Williams identities. Partially supported by NSA grants MDA904­91­H­0029, MDA904­94­H­2025, and MDA904

  12. NERSC/DOE FES Requirements Workshop Worksheet - Alex Friedman

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

    Fusion Energy) Principal Investigator Alex Friedman Participating Organizations LBNL, LLNL, PPPL, Univ. of Maryland Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2....

  13. NERSC/DOE FES Requirements Workshop Worksheet - Linda Sugiyama

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

    Project Title Title Principal Investigator Linda Sugiyama Participating Organizations test data Funding Agencies DOE SC DOE NSA NSF NOAA NIH Other: 2. Project Summary &...

  14. The Radiative, Cloud, and Thermodynamic Properties of the Major Tropical Western Pacific Cloud Regimes

    E-Print Network [OSTI]

    Jakob, Christian

    's surface. Other effects include the release and consumption of latent heat related to phase changes in the tropical western Pacific (TWP). A cluster analysis is applied to 2 yr of daytime-only data from the International Satellite Cloud Climatology Project (ISCCP) to identify four major cloud regimes in the TWP region

  15. Faculty and Staff (cont.): UNL Parents Association Certificates of Recognition for

    E-Print Network [OSTI]

    Logan, David

    Richard Rebarber and Gordon Woodward, NSF-REU Site Funding Mark Walker, NSA grant Roger Wiegand, NSA grant). Susan Hermiller and John Meakin, Proceedings of the International Conference on Groups and Semigroups, 2000, International Journal of Algebra and Computa- tion (with M. Sapir). Jim Lewis, (et al

  16. CCRS Landcover Maps From Satellite Data

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

    Trishchenko, Alexander

    The Canadian Centre for Remote Sensing (CCRS) presents several landcover maps over the SGP CART site area (32-40N, 92-102W) derived from satellite data including AVHRR, MODIS, SPOT vegetation data, and Landsat satellite TM imagery.

  17. ARM: Short Wave Flux Analysis: 15-min resolution on SIRS data, Long algorithm

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

    Stoffel, Tom; Kay, Bev; Habte, Aron; Anderberg, Mary; Kutchenreiter, Mark

    Short Wave Flux Analysis: 15-min resolution on SIRS data, Long algorithm. Measurements began in January, 1994, and have continued to the present time. Data collected are from the Southern Great Plains (SGP) location.

  18. STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY

    E-Print Network [OSTI]

    Stanford University

    STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY STANFORD, CALIFORNIA 94105 SGP-TR- 61 GEOTHERMAL APPENDIX A: PARTICIPANTS IN THE STANFORD GEOTHERMAL PROGRAM '81/'82 . 60 APPENDIX B: PAPERS PRESENTED through September 30, 1982. The Stanford Geothermal Program conducts interdisciplinary research

  19. Fracture-Flow-Enhanced Solute Diffusion into Fractured Rock

    E-Print Network [OSTI]

    Wu, Yu-Shu; Ye, Ming; Sudicky, E.A.

    2008-01-01T23:59:59.000Z

    of Naturally Fractured Reservoirs, Society of Petroleumresources from fractured reservoirs (e.g. , Warren and Root,Reservoir Engineering Stanford University, Stanford, California, January 28-30, 2008 SGP-TR-185 FRACTURE-FLOW-ENHANCED SOLUTE DIFFUSION INTO FRACTURED

  20. -Reservoir Technology -Geothermal Reservoir Engineering

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-91 - Reservoir Technology - Geothermal Reservoir Engineering Research at Stanford Principal in Engineering and Earth Sciences STANFORD UNIVERSITY Stanford, California #12;TABLE OF CONTENTS Page ...PREFACE................................................................................ 20 3.4 Thermal Stress Effects on Thermal Conductivity .................................... 27 #12

  1. Diurnal to annual variations in the atmospheric water cycle

    E-Print Network [OSTI]

    Ruane, Alexander C.

    2007-01-01T23:59:59.000Z

    2004 SFM power spectra at Darwin, Australia, of (a) surfacepower spectra for example variables at ARM SGP.83 Figure 3.4 As in Figure 3.2, but for Darrwin, Australia ..

  2. STANFORD UNIVERSITY STANFORD, CALIFORNIA 94305

    E-Print Network [OSTI]

    Stanford University

    STANFORD UNIVERSITY STANFORD, CALIFORNIA 94305 SGP-TR-89 GEOTHERMAL RESERVOIR ENGINEERING RESEARCH...................................................................................................... 1 RESERVOIR DEFINITION and Tracer Concentration-Time Data Velocity and Gravity Effects in Relative Permeability for Layered

  3. aerosol bound particulates: Topics by E-print Network

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

    Data) cloud drop size distributions and (iv) TWP-ICE (Darwin, Australia) rain drop size distributions. A. M. Selvam 2010-05-08 26 7, 1569315721, 2007 Particulate PAH Computer...

  4. NETL F 451.1/1-1, Categorical Exclusion Designation Form

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

    112014 - 112019 David R. Luebke NETL:South Park Twp, PA-B84 Rm 220 Material Dynamics and Kinetics Lab Preparation and fabrication of polymeric and ionic-liquid based...

  5. SCM Forcing Data Derived from NWP Analyses

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

    Jakob, Christian

    Forcing data, suitable for use with single column models (SCMs) and cloud resolving models (CRMs), have been derived from NWP analyses for the ARM (Atmospheric Radiation Measurement) Tropical Western Pacific (TWP) sites of Manus Island and Nauru.

  6. ARM - What Are the Effects of Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments

  7. ARM - Wind Chill Calculations

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments

  8. ARM - Word Seek: Wind

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and

  9. ARM Registration Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities

  10. AT&T、思科、通用电气、IBM和英特尔组建工业互联网联盟,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links

  11. Accomplishments@osti.gov Significant

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related LinksATHENA

  12. Acquisition Conflict Resolution

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related LinksATHENA Account

  13. Administrators of BPA

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related LinksATHENAAdministrative Contacts

  14. Advancing the art of tuberculosis detection

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related

  15. Alternative Fuels Data Center

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP RelatedCellulase C.

  16. Alternative Fuels Data Center: Maps and Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP RelatedCellulase

  17. Alternative Fuels Data Center: Natural Gas Vehicle Availability

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP RelatedCellulaseFuels and

  18. Alternative Fuels Data Center: Propane Vehicle Availability

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP RelatedCellulaseFuels

  19. Alternative Fuels Data Center: Technology and Policy Bulletins

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP RelatedCellulaseFuelsConversions

  20. Alumni of the Cyclotron Institute REU Program

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP

  1. Joint Computer Science Department and Electrical and Computer Engineering Department Special Seminar Sponsored by ISTeC

    E-Print Network [OSTI]

    Joint Computer Science Department and Electrical and Computer Engineering Security Professor of Computer Science (College of Science) Tue., Sept. 16 IEEE, ACM, NSA and NIST such as the IEEE Computer Society's Technical

  2. Cornell University, Office of Sponsored Programs Awards Received in April 2009

    E-Print Network [OSTI]

    Danforth, Bryan Nicholas

    AWARENESS $16,000 THF 57168 BOOTH, JAMES STAT SCI NSA 24TH INTERNATIONAL WORKSHOP ON STATISTICAL MODELING J CCMR-GENERAL NSF REU SITE: INTERDISCIPLINARY MATERIALS $168,000 MBF 49833 CHRISTOPHERSON, SUSAN M

  3. Warrantless Wiretapping, FISA Reform, and the Lessons of Public Liberty: A Comment on Holmes' Jorde Lecture

    E-Print Network [OSTI]

    Schwartz, Paul M.

    2009-01-01T23:59:59.000Z

    it can be used to authorize the FBI to engage in electronichad revealed abuses by the NSA, FBI, and other governmentthe United States, while the FBI maintained watch lists of

  4. ARM-LBNL-NOAA Flask Sampler for Carbon Cycle Gases

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

    Torn, Margaret

    Data from ccg-flasks are sampled at the ARM SGP site and analyzed by the NOAA Earth System Research Laboratory (ESRL) as part of the NOAA Cooperative Global Air Sampling Network. Surface samples are collected from a 60m tower at the SGP Central Facility, usually once per week on one afternoon. The aircraft samples are collected approximately weekly from a chartered aircraft, and the collection flight path is centered over the tower where the surface samples are collected. Samples are collected by the ARM/LBNL Carbon Project. CO2 flask data contains measurements of CO2 concentration and CO2 stable isotope ratios (13CO2 and C18OO) from flasks collected at the SGP site. The flask samples are collected at 2m, 4m, 25m, and 60m along the 60m tower.

  5. ARM-LBNL-NOAA Flask Sampler for Carbon Cycle Gases

    SciTech Connect (OSTI)

    Torn, Margaret

    2008-01-15T23:59:59.000Z

    Data from ccg-flasks are sampled at the ARM SGP site and analyzed by the NOAA Earth System Research Laboratory (ESRL) as part of the NOAA Cooperative Global Air Sampling Network. Surface samples are collected from a 60m tower at the SGP Central Facility, usually once per week on one afternoon. The aircraft samples are collected approximately weekly from a chartered aircraft, and the collection flight path is centered over the tower where the surface samples are collected. Samples are collected by the ARM/LBNL Carbon Project. CO2 flask data contains measurements of CO2 concentration and CO2 stable isotope ratios (13CO2 and C18OO) from flasks collected at the SGP site. The flask samples are collected at 2m, 4m, 25m, and 60m along the 60m tower.

  6. The Aerosol Lidar Validation Experiment … ALIVE 1Schmid, B., 2Ferrare, R., 3Turner,D., 4Flynn, C., 5Cairns, B., 6Dominguez, R., 6Gore, W., 7Groff, D., 8Herman, B., 9Hovelman, B., 10Jefferson, A., 6Johnson, R., 5Knobelspiesse, K., 4Mendoza, A., 10Ogren, J., 4Petty, D., ?Russell, E., 6Russell, P., 4Roeder, L., 6Truong, N. 1BAER Institute, 2NASA Langley Res. Center, 3Univ. Of Wisconsin-Madison, 4Pacific Northwest Natl. Lab., 5Columbia Univ., 6NASA Ames Res. Center, 7ARM SGP, 8City Univ. of New York, 9Sky Research, Inc., 10NOAA CMDL

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructureProposedPAGESafetyTed DonatARM Program Data Quality

  7. Emissions of air pollutants and greenhouse gases over1 Asian regions during 20002008: Regional Emission2

    E-Print Network [OSTI]

    Meskhidze, Nicholas

    -3-9 Toranomon, Minato-ku, Tokyo, 105-0001, Japan}12 [5]{Ocean Policy Research Foundation, 3-4-10 Toranomon Singapore SGP Thailand THA Vietnam VNM Bangladesh OSA BGD Bhutan BTN India/Andhra Pradesh IND ANPR India/Bihar, Jharkhand BIHA India/Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura EHIM India/Gujarat GUJA

  8. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    the effectiveness of these small-scale power plants hybrid systems are to be designed or existing technologies, no geothermal power plant facility exists in Central- Eastern Europe. There are professional investors, Stanford, California, February 1-3, 2010 SGP-TR-188 GEOTHERMAL POWER PLANT CONCEPTS IN THE PANNONIAN BASIN

  9. Geothermal Reservoir Evaluation Considering Fluid Adsorption

    E-Print Network [OSTI]

    Stanford University

    SGP-"R- 68 Geothermal Reservoir Evaluation Considering Fluid Adsorption and Composition Michael J, California #12;GEOTHERMAL RESERVOIR EVALUATION CONSIDERING FLUID ADSORPTION AND COMPOSITION A DISSERTATIONFtion phenomena is described. Then, t h e implications of adsorption on material balance calculations and on vel1

  10. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    " drilling of a geothermal well with a stimulation treatment that involves cold water injection over time, Stanford, California, February 1-3, 2010 SGP-TR-188 THERMAL SINGLE-WELL INJECTION-WITHDRAWAL TRACER TESTS, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA K_Pruess@lbl.gov ABSTRACT Single-well

  11. Simulation of Aerosol-Cloud Interactions in the WRF Model at the Southern Great Plains Site

    E-Print Network [OSTI]

    Vogel, Jonathan 1988-

    2012-08-21T23:59:59.000Z

    The aerosol direct and indirect effects were investigated for three specific cases during the March 2000 Cloud IOP at the SGP site by using a modified WRF model. The WRF model was previously altered to include a two-moment bulk microphysical scheme...

  12. PROCEEDINGS, Thirty-Fourth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 911, 2009

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 9­11, 2009 SGP-TR-187 HOT DRY ROCK GEOTHERMAL ENERGY: IMPORTANT LESSONS FROM FENTON HILL Donald W. Brown Los Alamos National Laboratory P.O. Box 1663, MS-D443 Los Alamos, New Mexico 87545 USA e-mail: dwb@lanl.gov ABSTRACT The concept of Hot Dry Rock (HDR) geothermal energy originated

  13. PROCEEDINGS, Thirty-Fourth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 9-11, 2009

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 9-11, 2009 SGP-TR-187 HOT ROCK GEOTHERMAL ENERGY PLAYS IN AUSTRALIA & Geothermal Group, PIRSA Level 6, 101 Grenfell St., Adelaide SA 5000, Australia 2 Onshore Energy & Minerals industries. Converting just 1% of Australia's estimated Hot Rock crustal energy to electricity, from

  14. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 DETERMINATION OF RESISTIVITY INDEX, CAPILLARY PRESSURE@stanford.edu ABSTRACT It is known that the three important parameters: resistivity, capillary pressure, and relative permeability from capillary pressure data. However the literature on the interrelationship between resistivity

  15. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 ARE GEOTHERMAL ENERGY RETURNS ON INVESTMENT as the investment energy for the next generation system. In the case of geothermal energy that means using on geothermal EROI of closing the loop is examined. The benefit of using geothermal energy, as compared

  16. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 DISTRIBUTION OF ARSENIC IN GEOTHERMAL WATERS.com ABSTRACT Distribution of Arsenic in geothermal waters in Sabalan area has been studied. In all samples on the distribution of As in the main hot springs and deep reservoir wells of Sabalan geothermal field

  17. Stanford Geothermal Program Interdisciplinary Research in

    E-Print Network [OSTI]

    Stanford University

    Stanford Geothermal Program Interdisciplinary Research in Engineering and Earth Sciences STANFORTI UNIVERSITY Stanford, California SGP-TR-85 ANALYSIS OF THE STANFORD GEOTHERMAL RESERVOIR MODEL EXPERIMENTS was provided through the Stanford Geothermal Program under Department of Energy Contract No. DE-AT03-80SF11459

  18. Experimental Study of Water Vapor Adsorption on Geothermal

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-148 Experimental Study of Water Vapor Adsorption on Geothermal Reservoir Rocks Shubo Shang Geothermal Program under Department of Energy Grant No. DE-FG07-90IDI2934,and by the Department of Petroleum Engineering, Stanford University Stanford Geothermal Program Interdisciplinary Research in Engineering

  19. Stanford Geothermal Program Interdisciplinary Research in

    E-Print Network [OSTI]

    Stanford University

    Stanford Geothermal Program Interdisciplinary Research in Engineering and Earth Sciences STANFORD UNIVERSITY Stanford, California SGP-TR-81 TRACER TEST ANALYSIS OF THE KLAMATH FALLS GEOTHERMAL RESOURCE Geothermal Program under Department of Energy Contract No. DE-AT03-80SF11459 and by the Department

  20. STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY

    E-Print Network [OSTI]

    Stanford University

    STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY STANFORD, CALIFORNIA 94305 SGP-TR-42 PROCEEDINGS SPECIAL PANEL ON GEOTHERMAL MODEL INTERCOMPARISON STUDY held in conjunction with The Code Comparison Contracts issued by Department of Energy Division of Geothermal Energy San Francisco Operations Office

  1. DOWNHOLE ENTHALPY MEASUREMENT IN GEOTHERMAL

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-186 DOWNHOLE ENTHALPY MEASUREMENT IN GEOTHERMAL WELLS WITH FIBER OPTICS Nilufer Atalay June 2008 Financial support was provided through the Stanford Geothermal Program under Idaho National University Stanford Geothermal Program Interdisciplinary Research in Engineering and Earth Sciences STANFORD

  2. . Stanford Geothermal Program Interdisciplinary Research in

    E-Print Network [OSTI]

    Stanford University

    . Stanford Geothermal Program Interdisciplinary Research in Engineering and Earth Sciences STANFORD UNIVERSITY Stanford, California SGP-TR- 80 DEPLETION MODELING OF LIQUID DOMINATED GEOTHERMAL RESERVOIRS BY Gudmund 01sen June 1984 Financial support was provided through the Stanford Geothermal Program under

  3. STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY

    E-Print Network [OSTI]

    Stanford University

    STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY STANFORD, CALIFORNIA 34105 Stanford Geothermal, California SGP-TR-72 A RESERVOIR ENGINEERING ANALYSIS OF A VAPOR-DOMINATED GEOTHERMAL FIELD BY John Forrest Dee June 1983 Financial support was provided through the Stanford Geothermal Program under Department

  4. GEOTHERMAL ENERGY DEVELOPMENT Paul Kruger

    E-Print Network [OSTI]

    Stanford University

    SGP-TR 9 * GEOTHERMAL ENERGY DEVELOPMENT Paul Kruger C i v i l Engineering Department Stanford on an aggressive program t o develop its indigenous resources of geothermal energy. For more than a decade, geothermal energy has been heralded as one of the more promising forms of energy a l t e r n a t e t o o i l

  5. Stanford Geothermal Program Stanford University

    E-Print Network [OSTI]

    Stanford University

    s Stanford Geothermal Program Stanford University Stanford, California RADON MEASUEMENTS I N GEOTHERMAL SYSTEMS ? d by * ** Alan K. Stoker and Paul Kruger SGP-TR-4 January 1975 :: raw at Lcs Alams S c i and water, o i l and n a t u r a l gas wells. with radon i n geothermal reservoirs. Its presence i n

  6. STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY

    E-Print Network [OSTI]

    Stanford University

    STANFORD GEOTHERMAL PROGRAM STANFORD UNIVERSITY STANFORD, CALIFORNIA 94305 SGP-TR-35 SECOND ANNUAL #12;INTRODUCTION The research e f f o r t of t h e Stanford Geothermal Program is focused on geothermal reservoir engineering. The major o b j e c t i v e of t h e protiram is t o develop techniques f o

  7. STANFORD GEOTHERMAL PR0GRAh.I STANFORD UNIVERSITY

    E-Print Network [OSTI]

    Stanford University

    STANFORD GEOTHERMAL PR0GRAh.I STANFORD UNIVERSITY STANFORD,CALIFORNIA 94305 SGP-TR-5 1 GEOTHERMAL Implications of Adsorption and Formation Fluid Composition on Geothermal Reservoir Evaluation . . 40 TASK 5 . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 APPENDIX A: PARTICIPANTS I N THE STANFORD GEOTHERMAL PROGRAM . . 59 APPENDIX B: VISITING

  8. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 2010 PRESENT STATUS OF GEOTHERMAL ENERGY IN TURKEY of geothermal energy in Turkey has focused mainly on district heating. The first of these systems came on line installed. Based on these recent projects it is clear that geothermal energy will contribute significantly

  9. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 TURKEY'S GEOTHERMAL ENERGY POTENTIAL: UPDATED RESULTS E. The estimated recoverable thermal energy of the other 38 geothermal fields evaluated for direct utilization of identified apparent capacity, power generation potential and thermal energy potential are discussed. Also

  10. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 A CONCEPTUAL MODEL FOR GEOTHERMAL ENERGY of the Caribbean islands have great potential for Geothermal Energy. These islands have been formed partially for geothermal energy. The only operating geothermal plant in the Caribbean is at Bouillante in Guadeloupe

  11. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 GREAT EXPECTATIONS FOR GEOTHERMAL ENERGY.goldstein@sa.gov.au ABSTRACT Geothermal energy systems: have a modest environmental footprint; will not be impacted by climate for zero-emission, base-load direct use and power generation. Displacement of more emissive fossil energy

  12. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 FUTURE OF GEOTHERMAL ENERGY Subir K. Sanyal Geotherm This paper first describes the salient features of the various types of geothermal energy resources) geopressured systems, and (6) magma energy. Of these six types, only hydrothermal systems have been

  13. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 THERMAL ENERGY RECOVERY FROM ENHANCED GEOTHERMAL is quantifying Rg, the geothermal recovery factor, which is defined as the ratio of produced thermal energy to the thermal energy contained in the fractured volume comprising the reservoir. One approach to EGS resource

  14. PROCEEDINGS, Thirty-Fourth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 9-11, 2009

    E-Print Network [OSTI]

    Stanford University

    , are as follows: (a) reduce the operations and maintenance cost; (b) reduce the power plant cost; (c) choose, Stanford, California, February 9-11, 2009 SGP-TR-187 OPTIMIZATION OF THE ECONOMICS OF ELECTRIC POWER FROM) developed to date, numerical simulation of idealized EGS reservoirs, economic sensitivity analysis

  15. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    out at expeditious development rates and there are about a million power plants of this type-energy power plant, that supplies consumers with heat within constrained by them parameters, standard, Stanford, California, January 31 - February 2, 2011 SGP-TR-191 DESIGNING THERMAL-PHYSICAL, POWER

  16. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    for the simulation of steam flow in a geothermal power plant network". The fluid movement is governed. In the pipeline network of geothermal power plant the steam flows from high to low pressure and heat flows from, Stanford, California, February 1-3, 2010 SGP-TR-188 GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE

  17. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    and extraction operations in a fractured geothermal reservoir. PORO-THERMOELASTIC DISPLACEMENT DISCONTINUITYPROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010 SGP-TR-188 SIMULATION OF FLUID FLOW IN FRACTURED PORO

  18. PROCEEDINGS, Thirty-First Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 30-February 1, 2006

    E-Print Network [OSTI]

    Boyer, Edmond

    -well system and to create an enhanced permeability fractured rock reservoir by hydraulic stimulations. DuePROCEEDINGS, Thirty-First Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 30-February 1, 2006 SGP-TR-179 CREATION OF AN HDR RESERVOIR AT 5000 M DEPTH

  19. ANALYSIS O F HEAT TRANSFER AND ENERGY RECOVERY I N FRACTURED GEOTHERMAL RESERVOIRS

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-31 ANALYSIS O F HEAT TRANSFER AND ENERGY RECOVERY I N FRACTURED GEOTHERMAL RESERVOIRS by R . . . . . . . . . . . . . . . . . . . . . 64 iii #12;3.6 Energy Balance of a Fractured Geothermal Reservoir . . . 3.6.1 Reservoir Rock Energy of Experimental Apparatus . . . . . . . . . 6 2.1.1 The Reservoir . . . . . . . . . . . . . . . . . . 6 2

  20. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    a decrease of velocity of approximately 13% within the most fractured portion of the stimulated reservoirPROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010 SGP-TR-188 IMAGING OF THE SOULTZ ENHANCED GEOTHERMAL RESERVOIR

  1. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 HYDRAULIC FRACTURING OF NATURALLY FRACTURED RESERVOIRS reservoirs, especially hot fractured rock or enhanced geothermal systems (EGS) reservoirs, has usually relied-induced dilation, the conductivity of the natural fractures is enhanced and a higher-permeability reservoir

  2. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 GEOTHERMAL RESOURCES IN THE PACIFIC ISLANDS: THE POTENTIAL OF POWER GENERATION TO BENEFIT INDIGENOUS COMMUNITIES Alex J. McCoy-West1,2 , Sarah Milicich1 their untapped geothermal resources) for cost effective power production and direct-use applications. As part

  3. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 DIRECTIONAL WELLS AT THE PAILAS GEOTHERMAL Costa Rica. Since 2009, the Costa Rican Electricity Company (ICE) has drilled 7 deep directional boreholes (in addition to the 9 existing vertical boreholes). The purpose of directional drilling has been

  4. GUA DE ACOGIDA PARA EL PERSONAL DE LA UNIVERSIDAD DE ALICANTE Facilitar la integracin de las personas que se incorporen la organizacin de la UA y la

    E-Print Network [OSTI]

    Escolano, Francisco

    con la organizacin y por tanto, mejorar la calidad de sus servicios. Contenido: El programa de Jefatura de rea de recursos humanos: 3.3 - Servicio de Gestin de personal http://sgp.ua.es/es/: Gestin.4 - Servicio de Seleccin y Formacin http://ssyf.ua.es/es/: Seleccin y provisin (acceso, promociones

  5. GUA DE ACOGIDA PARA EL PERSONAL DE LA UNIVERSIDAD DE ALICANTE Facilitar la integracin de las personas que se incorporen la organizacin de la UA y la

    E-Print Network [OSTI]

    Escolano, Francisco

    con la organizacin y por tanto, mejorar la calidad de sus servicios. Contenido: El programa de Jefatura de rea de recursos humanos: 3.3 - Servicio de Gestin de personal http://sgp.ua.es/es/: Gestin.4 - Servicio de Seleccin y Formacin http://ssyf.ua.es/es/: Seleccin y provisin (acceso, promociones

  6. Simulation of Aerosol-Cloud Interactions in the WRF Model at the Southern Great Plains Site

    E-Print Network [OSTI]

    Vogel, Jonathan 1988-

    2012-08-21T23:59:59.000Z

    The aerosol direct and indirect effects were investigated for three specific cases during the March 2000 Cloud IOP at the SGP site by using a modified WRF model. The WRF model was previously altered to include a two-moment bulk microphysical scheme...

  7. PROCEEDINGS, Thirty-Fifth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 1-3, 2010

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 1-3, 2010 SGP-TR-188 STRENGTH RETROGRESSION IN CEMENTS UNDER HIGH-TEMPERATURE designs for high-temperature geothermal applications have typically included 35 to 40% additional be inadequate to provide a high-strength, low-permeability cement at temperatures typical for geothermal

  8. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    % capacity factor over a typical project life of 30 years; and (b) innovations in field management have led1 PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 - February 2, 2011 SGP-TR-191 FIFTY YEARS OF POWER GENERATION

  9. -Injection Technology -Geothermal Reservoir Engineering

    E-Print Network [OSTI]

    Stanford University

    For the Period October 1, 1985 through September 30, 1986 DE-ASO7-84ID12529 Stanford Geothermal Program was initiated in fiscal year 1981. The report covers the period from October 1, 1985 through September 30, 1986SGP-TR-107 - Injection Technology - Geothermal Reservoir Engineering Research at Stanford Principal

  10. PROCEEDINGS, Twenty-Seventh Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 28-30, 2002

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    . INTRODUCTION During on a previous geothermal exploration phase done 30 years ago in the Lamentin areaPROCEEDINGS, Twenty-Seventh Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 28-30, 2002 SGP-TR-171 PRELIMINARY GEOLOGICAL RESULTS OF RECENT EXPLORATORY

  11. Southern Great Plains Newsletter

    SciTech Connect (OSTI)

    J. Prell

    2010-09-01T23:59:59.000Z

    This months issue contains the following articles: (1) Scientists convene at SGP site for complex convective cloud experiment; (2) VORTEX2 spins down; (3) Sunphotometer supports SPARTICUS (a Sun and Aureole Measurement imaging sunphotometer) campaign and satellite validation studies; and (4) Ceilometer represents first deployment of new ground-based instruments from Recovery Act.

  12. Optimization of Injection Scheduling in

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-I12 Optimization of Injection Scheduling in Geothermal Fields James Lovekin May 1987&injection optimization problem is broke$ into two subpmbkm:(1) choosing a configuration of injectorsfrom an existing set is defined as the fieldwide break- through lindex, B. Injection is optimized by choosing injection wells

  13. Proof of concept of a zinc-silver battery for the extraction of energy from a concentration difference.

    E-Print Network [OSTI]

    Carati, Andrea

    solution. The cyclic operation allows us to extract a surplus of energy, at the expense of the free energyProof of concept of a zinc-silver battery for the extraction of energy from a concentration power (SGP) is the production of renewable and clean power from naturally available water reservoirs

  14. PROCEEDINGS, Thirty-Fourth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 9-11, 2009

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, February 9-11, 2009 SGP-TR-187 FIELD EXPERIMENTS FOR STUDYING ON CO2 SEQUESTRATION to study CO2 sequestration in solid minerals by injecting CO2 dissolved water into a high temperature as carbonate minerals. INTRODUCTION For the global warming problems, it is considered to reduce CO2 emission

  15. PROCEEDINGS, Thirty-Sixth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, January 31 -February 2, 2011

    E-Print Network [OSTI]

    Stanford University

    , Stanford, California, January 31 - February 2, 2011 SGP-TR-191 REMOVAL OF WATER FOR CARBON DIOXIDE for carbon dioxide-based EGS operation. We examine the relationship between drying time and reservoir amount of carbon dioxide sequestered, and total amount of water produced. INTRODUCTION Carbon

  16. PROCEEDINGS, Thirty-Eighth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 11-13, 2013

    E-Print Network [OSTI]

    Lyakhovsky, Vladimir

    -elastic deformation with damage evolution, and groundwater flow are solved using the Explicit Finite Difference Lagrangian Method for solid deformation and the Finite Element Method for fluid mass conservation. Rock, Stanford, California, February 11-13, 2013 SGP-TR-198 MODELING RESERVOIR STIMULATION INDUCED BY WELLBORE

  17. Constant-Pressure Measurement of Steam-

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-169 Constant-Pressure Measurement of Steam- Water Relative Permeability Peter A. O by measuring in-situ steam saturation more directly. Mobile steam mass fraction was established by separate steam and water inlets or by correlating with previous results. The measured steam-water relative

  18. MEASUREMENT BASED DETERMINATION OF AEROSOL FORCINGS AT ARM SITES: PROPOSED JOINT ASP-ARM STUDY

    E-Print Network [OSTI]

    of aerosol forcings. The dimmed forcings would not be determined -- no indirect aerosol effect in cloud free Stephen E. Schwartz For presentation at the Atmospheric Radiation Measurement (ARM) Program Science Team) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. There are numerous aerosol forcings

  19. ARM - Water Vapor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Manus Island NauruWater

  20. ARM - Weather

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Manus Island

  1. ARM - Weather

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Manus

  2. ARM - Website Administration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments ManusAdministration

  3. ARM - What About Melting Polar Ice Caps and Sea Levels?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments ManusAdministrationWhat

  4. ARM - What Are the Effects of Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach Home Room News

  5. ARM - What Causes Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach Home Room

  6. ARM - What Causes Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach Home

  7. ARM - What Will Happen as a Result of Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach HomeWhat Will

  8. ARM - What are Greenhouse Gases?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach HomeWhat Will

  9. ARM - What is Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach HomeWhat Willis

  10. ARM - What is Global Warming?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach HomeWhat

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach

  12. ARM - What is the Carbon Cycle?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach Outreach Home

  13. ARM - Who is PI Prairie Dog?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach Outreach

  14. ARM - Who's Professor Polar Bear?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments Outreach

  15. ARM - Who's Teacher Turtle?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments OutreachTeacher Turtle?

  16. ARM - Will There be Increased Global Precipitation?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and Instruments OutreachTeacher

  17. ARM - Word Seek: Instruments

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and InstrumentsInstruments Outreach Home

  18. ARM - Word Seek: Precipitation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and InstrumentsInstruments Outreach

  19. ARM - Word Seek: Solar

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and InstrumentsInstruments OutreachSolar

  20. ARM - Word Seek: Storms

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and InstrumentsInstruments

  1. ARM - Word Seek: Temperature

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities and InstrumentsInstrumentsTemperature

  2. ARM - Written Records

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records Outreach Home

  3. ARM - XDC Data Viewers

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records Outreach

  4. ARM - XDC Documentation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records

  5. ARM Archive Homepage

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records

  6. ARM Climate Research Facility

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM Climate

  7. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM Climate3 ARM

  8. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM Climate3 ARM

  9. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM Climate3

  10. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM Climate38

  11. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM Climate383

  12. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARM

  13. ARM Climate Research Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWP Related Links Facilities andPastWritten Records5 ARMIngest Status

  14. ARM Climate Research Facility Data Management Facility Quarterly Report

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  15. ARM MJO Investigation Experiment on

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  16. ARM News &#187; Blog

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  17. ARM News &#187; Data Announcements

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  18. ARM News &#187; Education

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  19. ARM News &#187; Employment Opportunities

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  20. ARM News &#187; Events

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  1. ARM News &#187; Facility News

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  2. ARM News &#187; Feature Stories and Releases

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  3. ARM News &#187; Publications

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  4. ARM News &#187; Research Highlights

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  5. ARM Publications

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  6. ARM Publications Database

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  7. ARM Publications Database

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  8. ARM Publications Database

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  9. ARM Science Plan

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  10. ARM Southern Great Plains

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  11. ARM Summer Training Schedule

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  12. ARM TR-006

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  13. ARM TR-008

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  14. ARM TR-008

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  15. ARM TR-008

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  16. ARM XDC Datastreams

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  17. ARM and the Recovery Act

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  18. ARM-96-003 UAV Fall 1996 Flight Series Mission Summary RG Ellingson

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  19. ARM-96-004 UAV Spring Flight Series Mission Summary RG Ellingson

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  20. ARM-99-005 Science and Experiment Plan Spring 1999 Flight Series

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  1. ARPES Provides Direct Evidence of Spin-Wave Coupling

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  2. ARRAlabwide

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  3. ASC Logo Use Guidelines | National Nuclear Security Administration

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  4. ASC Newsletters | National Nuclear Security Administration

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  5. ASC Program Elements | National Nuclear Security Administration

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  6. ASC Publications | National Nuclear Security Administration

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  7. ASC at the Labs | National Nuclear Security Administration

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  8. ASCR Leadership Computing Challenge (ALCC) | U.S. DOE Office of Science

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  9. ASCR Leadership Computing Challenge proposals due February 3

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  10. ASCR Workshops and Conferences | U.S. DOE Office of Science (SC)

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  11. ASD All Hands Meeting

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  12. ASERsumm.indd

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  13. ASR - 2011 Performance Metrics

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  14. ATHENA desktop human "body" could reduce need for animal drug tests

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  15. ATL Contract - Hanford Site

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  16. ATL Contract Modifications - Hanford Site

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  17. ATLAS

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  18. ATOMIC ENERGY ACT OF 1946

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  19. ATR NSUF

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  20. ATR NSUF

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  1. ATTACHMENT J.1 - APPENDIX A

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  2. AUG-31-04 15,22 FROM,L AND M TECH ID,5052347038 PAGE

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  3. AVS International Symposium | GE Global Research

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  4. AVS/Express at NERSC

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  5. AWARD/CONTRACT

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  6. Aaron Garrett

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  7. Abbott, Joshua

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  8. About - EERE Commercialization Office

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  9. About ASC | National Nuclear Security Administration

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  10. About Accelerators | Jefferson Lab

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  11. About Additive Manufacturing | GE Global Research

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  12. About Counterterrorism | National Nuclear Security Administration

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  13. About EIA - Budget - U.S. Energy Information Administration (EIA)

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  14. About EIA - Budget - U.S. Energy Information Administration (EIA)

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  15. About EIA - History - U.S. Energy Information Administration (EIA)

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  16. About EIA - History - U.S. Energy Information Administration (EIA)

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  17. About EIA - Organization - U.S. Energy Information Administration (EIA)

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  18. About EIA - Organization - U.S. Energy Information Administration (EIA)

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  19. About EIA - Organization - U.S. Energy Information Administration (EIA)

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  20. About EIA - Ourwork - U.S. Energy Information Administration (EIA)

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  1. About EIA - Ourwork - U.S. Energy Information Administration (EIA)

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  2. About EIA - Ourwork - U.S. Energy Information Administration (EIA)

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  3. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  4. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  5. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  6. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  7. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  8. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  9. About EIA - Policies - U.S. Energy Information Administration (EIA)

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  10. About EIA - Website - U.S. Energy Information Administration (EIA)

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  11. About EIA - Website - U.S. Energy Information Administration (EIA)

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  12. About Emergency Response | National Nuclear Security Administration

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  13. About Fermilab | Fermilab and the Community | Neighborhood Forum | Recent

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  14. About NNSA | National Nuclear Security Administration

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  15. About Naval Reactors | National Nuclear Security Administration

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  16. About PDSF

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  17. About RSS | NREL

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  18. About SFO | National Nuclear Security Administration

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  19. About SRNL - From the Director

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  20. About SRNL - From the Director

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  1. About SRNL - Our History

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  2. About SRNL - Our Leadership

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  3. About Science Bowl

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  4. About Science Education | Princeton Plasma Physics Lab

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  5. About Us

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  6. About Us

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  7. About the Center - Center for Plasma in the Laboratory and Astrophysics -

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  8. About the Cyclotron Institute REU Program

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  9. About the Lab

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  10. About the Library

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  11. About the Museum

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  12. Abstract Measurement

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  13. Abstract:

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  14. Accelerated Climate Modeling for Energy | Argonne Leadership Computing

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  15. Accelerating Irregular Computations with Hardware Transactional Memory and

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  16. Accelerating Materials Discovery With World's Largest Database of Elastic

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  17. Accelerator Modeling for Discovery | Argonne Leadership Computing Facility

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  18. Accelerator Operations and Technology, AOT: LANL

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  19. Accelerator Systems

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  20. Acceptance Criteria - Hanford Site

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  1. Acceptance Process - Hanford Site

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  2. Acceptance and Rejection of IGPPS Proposals

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  3. Access Rate Control System | Y-12 National Security Complex

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  4. Access to Clean Water | GE Global Research

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  5. Access to Records Under The Privacy Act

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  6. Access to the ALS

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  7. Accessibility

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  8. Accessing Your Account for the First Time.............................................................................................................2

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  9. Accessing ASCR Facilities | U.S. DOE Office of Science (SC)

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  10. Accessing HPSS at NERSC

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  11. Accessing PDSF

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  12. Accessing and Viewing NETL Solicitations/Funding Opportunity Announcements on FedConnect

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  13. Accident Response Group | National Nuclear Security Administration

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  14. Accident motivates scholarship recipient

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  15. Accidental Death & Dismemberment Plan

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  16. Accommodations for Joint Facilities User Forum on Data-Intensive Computing

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  17. Accomplishments | National Nuclear Security Administration

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  18. Accomplishments | netl.doe.gov

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  19. Account Information | Argonne Leadership Computing Facility

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  20. Account Sponsorship & Retention Policy | Argonne Leadership Computing

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  1. Accounting

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  2. Accounting | The Ames Laboratory

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  3. Accounts Payable | Y-12 National Security Complex

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  4. Accounts Policy | Argonne Leadership Computing Facility

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  5. Accounts and Access FAQ | Argonne Leadership Computing Facility

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  6. Accurate Band-Structure Calculations for the 3d Transition Metal Oxides

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  7. Achievements, Awards

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  8. Acknowledgements and Delineation | Photosynthetic Antenna Research Center

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  9. Acoustics topic of upcoming Frontiers in Science series

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  10. Acquisition Management | National Nuclear Security Administration

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  11. Acquisition and Project Management | National Nuclear Security

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  12. Acronyms

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  13. Acronyms - DOE Directives, Delegations, and Requirements

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  14. Acting NNSA Administrator Bruce Held visits Y-12 National Security Complex

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  15. Actinide Chemistry

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  16. Actinide Research Quarterly

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  17. Action on the Columbia (1965)

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  18. Activated Aluminum Hydride Hydrogen Storage Compositions - Energy

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  19. Activation

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  20. Activation.doc

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