National Library of Energy BETA

Sample records for great plains cloud

  1. ARM Southern Great Plains

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

    Southern Great Plains Central Facility The Southern Great Plains (SGP) site was the first field measurement site established by DOE's Atmospheric Radiation Measurement (ARM) Program in 1992. Today, it is considered the largest and most extensive climate research field site in the world. Scientists are using the measurements obtained from the SGP to improve the understanding and representation of clouds and aerosols, as well as their interactions, in climate and earth system models. More

  2. Efficacy of Aerosol-Cloud Interactions Under Varying Meteorological Conditions: Southern Great Plains Vs. Pt. Reyes

    SciTech Connect (OSTI)

    Dunn, M.; Schwartz, S.; Kim, B.-G.; Miller, M.; Liu, Y.; Min, Q.

    2008-03-10

    Several studies have demonstrated that cloud dynamical processes such as entrainment mixing may be the primary modulator of cloud optical properties in certain situations. For example, entrainment of dry air alters the cloud drop size distribution by enhancing drop evaporation. However, the effect of entrainment mixing and other forms or turbulence is still quite uncertain. Although these factors and aerosol-cloud interactions should be considered together when evaluating the efficacy of aerosol indirect effects, the underlying mechanisms appear to be dependent upon each other. In addition, accounting for them is impossible with the current understanding of aerosol indirect effect. Therefore, careful objective screening and analysis of observations are needed to determine the extent to which mixing related properties affect cloud optical properties, apart from the aerosol first indirect effect. This study addresses the role of aerosol-cloud interactions in the context of varying meteorological conditions based on ARM data obtained at the Southern Great Plains (SGP) site in Oklahoma and at Pt. Reyes, California. Previous analyses of the continental stratiform clouds at the SGP site have shown that the thicker clouds of high liquid water path (LWP) tend to contain sub adiabatic LWPs. These sub adiabatic LWPs, which result from active mixing processes, correspond to a lower susceptibility of the clouds to aerosol-cloud interactions, and, hence, to reduced aerosol indirect effects. In contrast, the consistently steady and thin maritime stratus clouds observed at Pt. Reyes are much closer to adiabatic. These clouds provide an excellent benchmark for the study of the aerosol influence on modified marine clouds relative to continental clouds, since they form in a much more homogeneous meteorological environment than those at the continental site.

  3. Newsletter Southern Great Plains

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

    Aug./Sept. 2006 ANL/EVS/NL-06-08 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. New Cloud Condensation Nuclei Counter Installed at SGP Accomplishing the ARM Program's objective of improving the treatment of clouds in climate

  4. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-07 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by The University of Chicago for the U.S. Department of Energy. New Cloud Radar Is Deployed at SGP The W-band ARM cloud radar (WACR), under development since 2004, has been deployed at the SGP central facility. A dual-polarization radar operating at

  5. Newsletter Southern Great Plains

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

    6 ANL/EVS/NL-06-06 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. New Micropulse Lidars Improve Measurements of Cloud Properties To understand how clouds and sunlight affect Earth's climate, the ARM Program studies these

  6. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-02 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Radar Improved with New Reflector A new corner reflector (too small to be seen in Figure 1) on the W-band ARM Cloud Radar (WACR)

  7. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-07 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. CLASIC Concludes with a Splash The Cloud and Land Surface Interaction Campaign (CLASIC) drew to a close on June 30, 2007, at the ARM

  8. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-06 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. CLASIC and CHAPS Campaigns The Cloud and Land Surface Interaction Campaign (CLASIC) and the Cumulus Humilis Aerosol Processing Study

  9. A 3-Year Climatology of Cloud and Radiative Properties Derived from GOES-8 Data Over the Southern Great Plains

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

    3-Year Climatology of Cloud and Radiative Properties Derived from GOES-8 Data Over the Southern Great Plains M. M. Khaiyer, A. D. Rapp, D. R. Doelling, and M. L. Nordeen Analytical Service and Materials, Inc. Hampton, Virginia P. Minnis, W. L. Smith, Jr., and L. Nguyen Atmospheric Sciences Division National Aeronautics and Space Administration Langley Research Center Hampton, Virginia Introduction While the various instruments maintained at the Atmospheric Radiation Measurement (ARM) Program

  10. Southern Great Plains

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

    govSitesSouthern Great Plains SGP Related Links Virtual Tour Facilities and Instruments Central Facility Boundary Facility Extended Facility Intermediate Facility Radiometric Calibration Facility Geographic Information ES&H Guidance Statement Operations Science Field Campaigns Visiting the Site Summer Training SGP Fact Sheet Images Information for Guest Scientists Contacts Southern Great Plains SGP Central Facility, Lamont, OK 36° 36' 18.0" N, 97° 29' 6.0" W Altitude: 320 meters

  11. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-10 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Southern Great Plains Site Meets Scientific Needs The ARM Climate Research Facility (ACRF) is unique in its dedication to long-term, continuous measurement of

  12. Environmental assessment for the Atmospheric Radiation Measurement (ARM) Program: Southern Great Plains Cloud and Radiation Testbed (CART) site

    SciTech Connect (OSTI)

    Policastro, A.J.; Pfingston, J.M.; Maloney, D.M.; Wasmer, F.; Pentecost, E.D.

    1992-03-01

    The Atmospheric Radiation Measurement (ARM) Program is aimed at supplying improved predictive capability of climate change, particularly the prediction of cloud-climate feedback. The objective will be achieved by measuring the atmospheric radiation and physical and meteorological quantities that control solar radiation in the earth`s atmosphere and using this information to test global climate and related models. The proposed action is to construct and operate a Cloud and Radiation Testbed (CART) research site in the southern Great Plains as part of the Department of Energy`s Atmospheric Radiation Measurement Program whose objective is to develop an improved predictive capability of global climate change. The purpose of this CART research site in southern Kansas and northern Oklahoma would be to collect meteorological and other scientific information to better characterize the processes controlling radiation transfer on a global scale. Impacts which could result from this facility are described.

  13. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-04 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. SGP Site Reaches Safety Milestone On April 11, 2005, our dedicated SGP site employees celebrated the safety milestone of five years without a

  14. Newsletter Southern Great Plains

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

    6 ANL/EVS/NL-06-04 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by The University of Chicago for the U.S. Department of Energy. ARM Science Team Meets in Albuquerque Some 300 ARM scientists and ACRF infrastructure staff members attended the 16th ARM Science Team meeting in Albuquerque, New Mexico, on March 27-31, 2006. In

  15. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-04 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Dynamic Rain Gauge Calibration System A new calibration system recently implemented at the SGP site will verify the operation of the ARM Climate Research

  16. Newsletter Southern Great Plains

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

    8 ANL/EVS/NL-08-04 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. African Researcher Visits Oklahoma As a follow-up to the ARM Mobile Facility (AMF) deployment in West Africa in 2006, Dr. Salla

  17. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-08 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by The University of Chicago for the U.S. Department of Energy. SGP Hosts Instrument Team Meeting The SGP central facility hosted the biennial ARM Climate Research Facility (ACRF) Instrument Team Meeting on August 2-4, 2005. Almost 50 instrument mentors, site

  18. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-08 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. ACRF Instrument Team Meets at SGP The ARM Program has had unprecedented success in operating a large array of sophisticated

  19. Newsletter Southern Great Plains

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

    4 ANL/ER/NL-04-12 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. Winter Storms Winter has set its sights on us, just in time to make the holidays bright. Remembering the joy winter brought us when we were children

  20. Newsletter Southern Great Plains

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

    6 ANL/EVS/NL-06-12 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Diffuse Irradiance Study Works to Set Measurement Standard The ACRF sites have many instruments that measure and collect data on atmospheric conditions,

  1. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-02 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. ARM Mobile Facility Begins First Field Deployment The new ARM Mobile Facility (AMF) is in place at its first field research site in scenic Point

  2. Newsletter Southern Great Plains

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

    Feb./Mar. 2006 ANL/EVS/NL-06-02 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by The University of Chicago for the U.S. Department of Energy. New Shipping and Receiving Building Dedicated The SGP central facility is operating more efficiently with a newly completed Shipping and Receiving building. The SGP Shipping and

  3. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-01 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. ARM Water Vapor Data Support Severe Weather Forecasting in Oklahoma and Kansas The ARM Climate Research Facility (ACRF) participates in the

  4. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-01 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. ARM Archive Sets Record for User Accounts The ARM Archive stores and distributes the large quantities of data generated by routine

  5. Newsletter Southern Great Plains

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

    6 ANL/EVS/NL-06-07 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Infrared Sky Imager Takes a Shot in the Dark Imaging technologies help scientists correlate and compare visual data with the non-visual data retrieved by

  6. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-06 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. Atmospheric Compensation Experiment Completed at SGP The Atmospheric Compensation Experiment field campaign, held at the SGP June 6-12, 2005, focused

  7. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-03 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. ARM Holds 15 t h Annual Science Team Meeting The Atmospheric Radiation Measurement (ARM) Program held its 15 th Annual Science Team Meeting on March

  8. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-03 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. It's a Bird, It's a Plane, It's a - Helicopter? Last week, scientists from across the country met in Ponca City, Oklahoma, to

  9. Newsletter Southern Great Plains

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

    8 ANL/EVS/NL-08-03 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. 2008 ARM Science Team Meeting The Sheraton Norfolk Waterside Hotel on the banks of the Elizabeth River in Norfolk, Virginia, hosted

  10. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-05 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. Aerosol Lidar Validation Experiment Scheduled for September In a new field campaign using the ARM Climate Research Facility (ACRF), researchers will

  11. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-05 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Cold Air Funnel Sighted at SGP Central Facility In early May, SGP central facility personnel observed a cold air funnel near the site (Figure 1). The term cold

  12. Newsletter Southern Great Plains

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

    6 ANL/EVS/NL-06-11 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Local Students Tour SGP Facility A group of 30 seventh graders from the Deer Creek-Lamont school district received a warm welcome at the SGP site on November

  13. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-11 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Winter Outlook As the winter weather season approached, the National Oceanic and Atmospheric Administration (NOAA) released its

  14. Newsletter Southern Great Plains

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

    Oct./Nov. 2005 ANL/EVS/NL-05-10 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by The University of Chicago for the U.S. Department of Energy. SGP Site Access Roads Improved The "road" to improving the SGP site access roads was long and bumpy, but both visitors and employees are now enjoying trouble-free trips to

  15. Newsletter Southern Great Plains

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

    6 ANL/EVS/NL-06-10 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Repair Capability Saves Resources and Keeps Data Flowing The ACRF SGP site recently established a repair capability for its wind sensor equipment that is

  16. Newsletter Southern Great Plains

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

    5 ANL/ER/NL-05-09 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by The University of Chicago for the U.S. Department of Energy. Global Warming and Methane Global warming, an increase in Earth's near-surface temperature, is believed to result from the buildup of what scientists refer to as "greenhouse gases." These

  17. Newsletter Southern Great Plains

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

    7 ANL/EVS/NL-07-09 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. Multifilter Radiometer Added to Cessna Payload Downward-facing multifilter radiometers (MFRs) are instruments used to measure the

  18. Southern Great Plains

    Energy Savers [EERE]

    Southern Great Plains Climate C hange a nd t he U .S. E nergy S ector: Regional v ulnerabilities a nd r esilience s olutions Summary i n B rief The S outhern G reat P lains r egion, c omprising K ansas, O klahoma, and T exas, c ontains o il a nd g as i nfrastructure c ritical t o t he nation's e nergy s upply, i ncluding n umerous o ffshore p latforms, onshore o il a nd g as w ells, o il r efineries, n atural g as p rocessing plants, p ipelines, a nd s hipping t erminals. M any o f t hese a

  19. Southern Great Plains

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

    May 2004 ANL/ER/NL-04-05 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. ARM Launches Newly-Designed Website The recent designation of the ARM Program's infrastructure as a national user facility was an opportunity

  20. Southern Great Plains

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

    November 2004 ANL/ER/NL-04-11 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. Flare Field Campaign Aims to Rid Data of Clutter A series of aircraft flares were ignited on the ground at the SGP on October 19 and 20,

  1. Southern Great Plains

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

    September 2004 ANL/ER/NL-04-09 Technical Contact: James C. Liljegren Phone: 630-252-9540 Email: jcliljegren@anl.gov Editor: Donna J. Holdridge ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, an Office of Science laboratory operated by The University of Chicago under contract W-31-109-Eng-38 with the U.S. Department of Energy. ARM Mobile Facility Will Explore New Locales For some time, scientists have wanted to expand the reach of the ARM Program to additional

  2. Newsletter Southern Great Plains

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

    Both measurements are essential in understanding cloud-climate interactions, and current measurement techniques are not as accurate as desired. (Thin clouds have low water content...

  3. Great Plains Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Great Plains Wind Farm Facility Great Plains Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  4. ARM Southern Great Plains

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

    With the rapid changes in the arctic environment, the North Slope of Alaska (NSA) has become a focal point for atmospheric and ecological research. Since 1997, the Atmospheric Radiation Measurement (ARM) Climate Research Facility has gathered climate data at its NSA site in Barrow, the northernmost city in the United States located on the edge of the Arctic Ocean. The ARM Facility established multiple climate research sites on the North Slope to provide data about Arctic clouds and

  5. ITC Great Plains, LLC | Open Energy Information

    Open Energy Info (EERE)

    ITC Great Plains, LLC Jump to: navigation, search Name: ITC Great Plains, LLC Place: Kansas Phone Number: Topeka (785) 783-2226 or Dodge City (620) 371-6534 or (785) 783-2226...

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

    Office of Scientific and Technical Information (OSTI)

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

  7. Great Plains Ethanol | Open Energy Information

    Open Energy Info (EERE)

    Ethanol Jump to: navigation, search Name: Great Plains Ethanol Place: Chancellor, South Dakota Zip: 57015 Product: Limited liability company owned by its 500 members which owns and...

  8. Southern Great Plains Ice Nuclei Characterization Experiment...

    Office of Scientific and Technical Information (OSTI)

    Characterization Experiment Final Campaign Summary Citation Details In-Document Search Title: Southern Great Plains Ice Nuclei Characterization Experiment Final Campaign ...

  9. Southern Great Plains Crucial Habitat Assessment Tool | Open...

    Open Energy Info (EERE)

    Southern Great Plains Crucial Habitat Assessment Tool Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Southern Great Plains Crucial Habitat Assessment...

  10. Naturener USA LLC formerly Great Plains Wind Energy | Open Energy...

    Open Energy Info (EERE)

    USA LLC formerly Great Plains Wind Energy Jump to: navigation, search Name: Naturener USA, LLC (formerly Great Plains Wind & Energy) Place: San Francisco, California Zip: 94111...

  11. ARM - Southern Great Plains Newsletter Archive

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

    HomeroomPublicationsSouthern Great Plains Newsletter Archive Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Southern Great Plains Newsletter Archive 2011 March PDF - 2.7MB 2010 September PDF - 1.6MB 2009 January PDF - 472KB February PDF - 472KB 2008 2007 2006 2005 2004 January PDF - 7.4MB

  12. Failure and Redemption of Multifilter Rotating Shadowband Radiometer (MFRSR)/Normal Incidence Multifilter Radiometer (NIMFR) Cloud Screening: Contrasting Algorithm Performance at Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) and Southern Great Plains (SGP) Sites

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Flynn, Connor J.; Koontz, Annette S.; Sivaraman, Chitra; Barnard, James C.

    2013-09-11

    Well-known cloud-screening algorithms, which are designed to remove cloud-contaminated aerosol optical depths (AOD) from AOD measurements, have shown great performance at many middle-to-low latitude sites around the world. However, they may occasionally fail under challenging observational conditions, such as when the sun is low (near the horizon) or when optically thin clouds with small spatial inhomogeneity occur. Such conditions have been observed quite frequently at the high-latitude Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) sites. A slightly modified cloud-screening version of the standard algorithm is proposed here with a focus on the ARM-supported Multifilter Rotating Shadowband Radiometer (MFRSR) and Normal Incidence Multifilter Radiometer (NIMFR) data. The modified version uses approximately the same techniques as the standard algorithm, but it additionally examines the magnitude of the slant-path line of sight transmittance and eliminates points when the observed magnitude is below a specified threshold. Substantial improvement of the multi-year (1999-2012) aerosol product (AOD and its Angstrom exponent) is shown for the NSA sites when the modified version is applied. Moreover, this version reproduces the AOD product at the ARM Southern Great Plains (SGP) site, which was originally generated by the standard cloud-screening algorithms. The proposed minor modification is easy to implement and its application to existing and future cloud-screening algorithms can be particularly beneficial for challenging observational conditions.

  13. Atmosphere-Land-Surface Interaction over the Southern Great Plains...

    Office of Scientific and Technical Information (OSTI)

    Plains: Diagnosis of Mechanisms from SGP ARM Data Citation Details In-Document Search Title: Atmosphere-Land-Surface Interaction over the Southern Great Plains: Diagnosis of ...

  14. Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains

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

    Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains G. Feingold and W. L. Eberhard National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. E. Vernon and M. Previdi Rutgers University New Brunswick, New Jersey Abstract We have demonstrated first measurements of the aerosol indirect effect using ground-based remote sensors at the Southern Great Plains (SGP) site. The response of non-precipitating, ice-free clouds to

  15. Southern Great Plains Safety Orientation (Program Document) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Program Document: Southern Great Plains Safety Orientation Citation Details In-Document Search Title: Southern Great Plains Safety Orientation Welcome to the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ARM) Southern Great Plains (SGP) site. This U.S. Department of Energy (DOE) site is managed by Argonne National Laboratory (ANL). It is very important that all visitors comply with all DOE and ANL safety requirements, as well as those of the Occupational Safety

  16. Great Plains The Camelina Company | Open Energy Information

    Open Energy Info (EERE)

    The Camelina Company Jump to: navigation, search Name: Great Plains (The Camelina Company) Place: Montana Zip: MT 59911 Product: Manufacturer and marketer of biodiesel from...

  17. Great Plains Wind Energy Transmission Development Project

    SciTech Connect (OSTI)

    Brad G. Stevens, P.E.; Troy K. Simonsen; Kerryanne M. Leroux

    2012-06-09

    In fiscal year 2005, the Energy & Environmental Research Center (EERC) received funding from the U.S. Department of Energy (DOE) to undertake a broad array of tasks to either directly or indirectly address the barriers that faced much of the Great Plains states and their efforts to produce and transmit wind energy at the time. This program, entitled Great Plains Wind Energy Transmission Development Project, was focused on the central goal of stimulating wind energy development through expansion of new transmission capacity or development of new wind energy capacity through alternative market development. The original task structure was as follows: Task 1 - Regional Renewable Credit Tracking System (later rescoped to Small Wind Turbine Training Center); Task 2 - Multistate Transmission Collaborative; Task 3 - Wind Energy Forecasting System; and Task 4 - Analysis of the Long-Term Role of Hydrogen in the Region. As carried out, Task 1 involved the creation of the Small Wind Turbine Training Center (SWTTC). The SWTTC, located Grand Forks, North Dakota, consists of a single wind turbine, the Endurance S-250, on a 105-foot tilt-up guyed tower. The S-250 is connected to the electrical grid on the 'load side' of the electric meter, and the power produced by the wind turbine is consumed locally on the property. Establishment of the SWTTC will allow EERC personnel to provide educational opportunities to a wide range of participants, including grade school through college-level students and the general public. In addition, the facility will allow the EERC to provide technical training workshops related to the installation, operation, and maintenance of small wind turbines. In addition, under Task 1, the EERC hosted two small wind turbine workshops on May 18, 2010, and March 8, 2011, at the EERC in Grand Forks, North Dakota. Task 2 involved the EERC cosponsoring and aiding in the planning of three transmission workshops in the midwest and western regions. Under Task 3, the EERC, in collaboration with Meridian Environmental Services, developed and demonstrated the efficacy of a wind energy forecasting system for use in scheduling energy output from wind farms for a regional electrical generation and transmission utility. With the increased interest at the time of project award in the production of hydrogen as a critical future energy source, many viewed hydrogen produced from wind-generated electricity as an attractive option. In addition, many of the hydrogen production-related concepts involve utilization of energy resources without the need for additional electrical transmission. For this reason, under Task 4, the EERC provided a summary of end uses for hydrogen in the region and focused on one end product in particular (fertilizer), including several process options and related economic analyses.

  18. MIE Regional Climate Change Impact Webinar Series: Great Plains

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's (DOE's) Minorities in Energy Initiative is hosting a webinar on the Great Plains impacts of climate change on minority and tribal communities featuring presentations...

  19. MIE Regional Climate Change Impact Webinar Series: Great Plains

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's (DOE's) Minorities in Energy (MIE) Initiative is hosting a webinar on the Great Plains impacts of climate change on minority and tribal communities featuring presentations by nationally recognized policymakers, researchers, and educators.

  20. Categorical Exclusion Determinations: Western Area Power Administration-Upper Great Plains Region

    Broader source: Energy.gov [DOE]

    Categorical Exclusion Determinations issued by Western Area Power Administration-Upper Great Plains Region.

  1. AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont...

    Office of Scientific and Technical Information (OSTI)

    ARc ARM Southern Great Plains control site- Lamont Citation Details In-Document Search Title: AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont This is the AmeriFlux ...

  2. EIS-0408: Upper Great Plains Wind Energy Programmatic EIS

    Broader source: Energy.gov [DOE]

    Western Area Power Administration and the U.S. Fish and Wildlife Service, as joint lead agencies, prepared a programmatic EIS that evaluates issues and potential environmental impacts associated with wind energy development within Western’s Upper Great Plains Customer Service Region (Iowa, Minnesota, Montana, Nebraska, North Dakota, and South Dakota) and upon the Service’s landscape-level grassland and wetland easements. Western will use the EIS to implement a comprehensive regional program to manage interconnection requests for wind energy projects.

  3. AmeriFlux US-ARM ARM Southern Great Plains site- Lamont (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer ARM ARM Southern Great Plains site- Lamont Title: AmeriFlux US-ARM ARM Southern Great Plains site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARM ARM Southern Great Plains site- Lamont. Site Description - Central facility tower crop field Authors: Torn, Margaret [1] + Show Author Affiliations Lawrence Berkeley National Laboratory Publication Date: 2016-01-01 OSTI Identifier: 1246027 Resource Type: Dataset Data Type: Specialized Mix Research Org:

  4. Regional setting of Niobrara Formation in Northern Great Plains

    SciTech Connect (OSTI)

    Shurr, G.W.

    1984-05-01

    Natural gas is currently produced from the Upper Cretaceous Niobrara Formation in northeastern Colorado, northwestern Kansas, and several small fields in Nebraska. As a part of studies of low-permeability gas reservoirs in the northern Great Plains, the regional geologic setting of the Niobrara has been investigated in North Dakota, South Dakota, and Nebraska. Structural contours of the Ardmore Bentonite Bed suggest that the area of thin Niobrara strata presently approximates the south flank of the Williston basin and north flank of the Denver and Kennedy basins. Chalk tongues are interpreted as low-angle shelf surfaces, known as carbonate ramps, which sloped gently to the northwest and southeast off a paleotectonic high. The paleotectonic high cut obliquely across the seaway and was close to the position of the Transcontinental arch that influenced Paleozoic sedimentation. As a result, the present-day stratigraphy and structural setting of the Niobrara are different north and south of the arch crest. 58 references, 13 figures, 1 table.

  5. AmeriFlux US-ARM ARM Southern Great Plains site- Lamont (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect ARM ARM Southern Great Plains site- Lamont Citation Details In-Document Search Title: AmeriFlux US-ARM ARM Southern Great Plains site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARM ARM Southern Great Plains site- Lamont. Site Description - Central facility tower crop field Authors: Torn, Margaret [1] + Show Author Affiliations Lawrence Berkeley National Laboratory Publication Date: 2016-01-01 OSTI Identifier: 1246027 Resource Type: Dataset Data

  6. AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect ARb ARM Southern Great Plains burn site- Lamont Citation Details In-Document Search Title: AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARb ARM Southern Great Plains burn site- Lamont. Site Description - The ARM SGP Burn site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots, the US-ARb plot was burned

  7. AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect ARc ARM Southern Great Plains control site- Lamont Citation Details In-Document Search Title: AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARc ARM Southern Great Plains control site- Lamont. Site Description - The ARM SGP Control site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots with identical

  8. AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Data Explorer Search Results AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont Title: AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARb ARM Southern Great Plains burn site- Lamont. Site Description - The ARM SGP Burn site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots, the US-ARb plot was

  9. AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer ARc ARM Southern Great Plains control site- Lamont Title: AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARc ARM Southern Great Plains control site- Lamont. Site Description - The ARM SGP Control site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots with identical towers, measurements at the US-ARc

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

    SciTech Connect (OSTI)

    Lamb, Peter J.

    2013-06-13

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

  11. Site Scientific Mission Plan for the Southern Great Plains CART site: January--June 1994

    SciTech Connect (OSTI)

    Schneider, J.M.; Lamb, P.J.; Sisterson, D.L.

    1993-12-01

    The Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site is designed to help satisfy the data needs of the Atmospheric Radiation Measurement (ARM) Program Science Team. This document defines the scientific priorities for site activities during the six months beginning on January 1, 1994, and also looks forward in lesser detail to subsequent six-month periods. The primary purpose of this Site Scientific Mission Plan is to provide guidance for the development of plans for site operations. It also provides information on current plans to the ARM Functional Teams (Management Team, Experiment Support Team, Operations Team, Data Management Team, Instrument Team, and Campaign Team), and it serves to disseminate the plans more generally within the ARM Program and among the Science Team. This document includes a description of the site`s operational status and the primary envisaged site activities, together with information concerning approved and proposed Intensive Observation Periods. Amendments will be prepared and distributed whenever the content changes by more than 30% within a six-month period. The primary users of this document are the site operator, the site scientist, the Science Team through the ARM Program Science Director, the ARM Program Experiment Center, and the aforementioned ARM Program Functional Teams. This plan is a living document that will be updated and reissued every six months as the observational facilities are developed, tested, and augmented and as priorities are adjusted in response to developments in scientific planning and understanding.

  12. Site scientific mission plan for the Southern Great Plains CART site: January 1997--June 1997

    SciTech Connect (OSTI)

    Peppler, R.A.; Lamb, P.J. [Univ. of Oklahoma, Norman, OK (United States). Cooperative Institute for Mesoscale Meteorological Studies; Sisterson, D.L. [Argonne National Lab., IL (United States)

    1997-01-01

    The Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site is designed to help satisfy the data needs of the Atmospheric Radiation Measurement (ARM) Program Science Team. This document defines the scientific priorities for site activities during the six months beginning on January 1, 1997, and looks forward in lesser detail to subsequent six-month periods. The primary purpose of this Site Scientific Mission Plan is to provide guidance for the development of plans for site operations. It also provides information on current plans to the ARM functional teams (Management Team, Data and Science Integration Team [DSIT], Operations Team, Instrument Team [IT], and Campaign Team) and serves to disseminate the plans more generally within the ARM Program and among the members of the Science Team. This document includes a description of the operational status of the site and the primary site activities envisioned, together with information concerning approved and proposed intensive observation periods (IOPs). The primary users of this document are the site operator, the Site Scientist Team (SST), the Science Team through the ARM Program science director, the ARM Program Experiment Center, and the aforementioned ARM Program functional teams. This plan is a living document that is updated and reissued every six months as the observational facilities are developed, tested, and augmented and as priorities are adjusted in response to developments in scientific planning and understanding.

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

    SciTech Connect (OSTI)

    Sumant Nigam

    2013-02-01

    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.

  14. Low-rank coal research: Volume 3, Combustion research: Final report. [Great Plains

    SciTech Connect (OSTI)

    Mann, M. D.; Hajicek, D. R.; Zobeck, B. J.; Kalmanovitch, D. P.; Potas, T. A.; Maas, D. J.; Malterer, T. J.; DeWall, R. A.; Miller, B. G.; Johnson, M. D.

    1987-04-01

    Volume III, Combustion Research, contains articles on fluidized bed combustion, advanced processes for low-rank coal slurry production, low-rank coal slurry combustion, heat engine utilization of low-rank coals, and Great Plains Gasification Plant. These articles have been entered individually into EDB and ERA. (LTN)

  15. Weather pattern climatology of the Great Plains and the related wind regime

    SciTech Connect (OSTI)

    Barchet, W.R.

    1982-11-01

    The meteorology of the Great Plains can be described as a constant progression of air masses, fronts and cyclonic storm systems. Each of these meteorological conditions can be characterized by identifiable isobaric and related weather parameter patterns. Nine such patterns have been defined to type the weather patterns in the Great Plains. Time series of weather pattern types were produced for 62 stations on the Great Plains. Statistical analyses of these time series produced annual and seasonal frequencies of occurrence of the weather pattern types. Maps of the annual and seasonal frequency of occurrence of weather pattern type are presented for the Great Plains. Persistence and alternation frequencies match what is expected for traveling temperate latitude cyclones, anticyclones and fronts. The wind regime for stations at which the anemometer height and location was constant (and known) for a minimum of three consecutive years was stratified by weather pattern type. Statistical analyses were made to show the response of the wind to the large-scale distribution of air pressure associated with a weather pattern type. The response of the wind to the weather pattern is a site-specific result of the interaction of the large-scale meteorology with local terrain, surface roughness and atmospheric stability. Mean wind speed discriminates between pairs of weather pattern types with better than 75% confidence for more than two-thirds of the possible pairs of weather pattern types.

  16. Instrumentation for Southem Great Plains D. L. Sisterson and M. L. Wesely

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

    Southem Great Plains D. L. Sisterson and M. L. Wesely Environmental Research Division Argonne National Laboratory Argonne, IL 60439 accept the instrument but operates it in a degraded mode until the problems are fixed, or does not operate the instrument. Similar procedures are followed for other types of equipment and some aspects of the site data system. Central Facility Table 1 shows the progress to date on implementation of instruments, facilities, and general aspects of the site data system

  17. Improved Humidity Profiling by Combining Passive and Active Remote Sensors at the Southern Great Plains

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

    Improved Humidity Profiling by Combining Passive and Active Remote Sensors at the Southern Great Plains L. Bianco, D. Cimini, and F. Marzano Center of Excellence CETEMPS University of L'Aquila L'Aquila, Italy L. Bianco and E. R. Westwater Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado R. Ware Radiometrics Co. and University Consortium for Atmospheric Research

  18. GPS Water Vapor Projects Within the ARM Southern Great Plains Region

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

    GPS Water Vapor Projects Within the ARM Southern Great Plains Region J. Braun, T. Van Hove, S. Y. Ha, and C. Rocken GPS Science and Technology Program University Corporation for Atmospheric Research Boulder, Colorado Abstract The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Program has a need for an improved capability to measure and characterize the four-dimensional distribution of water vapor within the atmosphere. Applications for this type of data include their use

  19. Vertical Variability of Aerosols and Water Vapor Over the Southern Great Plains

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

    Vertical Variability of Aerosols and Water Vapor Over the Southern Great Plains R. A. Ferrare National Aeronautics and Space Administration Langley Research Center Hampton, Virginia D. D. Turner Pacific Northwest National Laboratory Richland, Washington M. Clayton and V. Brackett Science Applications International Corporation National Aeronautics and Space Administration Langley Research Center Hampton, Virginia T. P. Tooman and J. E. M. Goldsmith Sandia National Laboratories Livermore,

  20. DOE/SC-ARM-14-021 Southern Great Plains Safety Orientation

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

    1 Southern Great Plains Safety Orientation Revised: May 2015 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

  1. Subtask 7.3 - The Socioeconomic Impact of Climate Shifts in the Northern Great Plains

    SciTech Connect (OSTI)

    Jaroslav Solc; Tera Buckley; Troy Simonsen

    2007-12-31

    The Energy & Environmental Research Center (EERC) evaluated the water demand response/vulnerability to climate change factors of regional economic sectors in the northern Great Plains. Regardless of the cause of climatic trends currently observed, the research focused on practical evaluation of climate change impact, using water availability as a primary factor controlling long-term regional economic sustainability. Project results suggest that the Upper Missouri, Red River, and Upper Mississippi Watersheds exhibit analogous response to climate change, i.e., extended drought influences water availability in the entire region. The modified trend suggests that the next period for which the Red River Basin can expect a high probability of below normal precipitation will occur before 2050. Agriculture is the most sensitive economic sector in the region; however, analyses confirmed relative adaptability to changing conditions. The price of agricultural commodities is not a good indicator of the economic impact of climate change because production and price do not correlate and are subject to frequent and irregular government intervention. Project results confirm that high water demand in the primary economic sectors makes the regional economy extremely vulnerable to climatic extremes, with a similar response over the entire region. Without conservation-based water management policies, long-term periods of drought will limit socioeconomic development in the region and may threaten even the sustainability of current conditions.

  2. Vision Statement for Research and Educationall Outreach for tl1e ARM CART Southern Great Plains Locale

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

    1 Vision Statement for Research and Educationall Outreach for tl1e ARM CART Southern Great Plains Locale P. J. lamb Cooperative Institute for Mesoscale Meteorological Studies K. C. Crawford Oklahoma Climatological Survey F. V. Brock School of Meteorology R. M. Rabin National Severe Storms Laboratory University of Oklahoma/National Oceanic and Atmospheric Administration "Weather Center" Norman, OK 73019 .National Weather Service Forecast Office (NWSFO) Dennis H. McCarthy, Director As

  3. Vulnerability of crops and native grasses to summer drying in the U.S. Southern Great Plains

    SciTech Connect (OSTI)

    Raz-Yaseef, Naama; Billesbach, Dave P.; Fischer, Marc L.; Biraud, Sebastien C.; Gunter, Stacey A.; Bradford, James A.; Torn, Margaret S.

    2015-08-31

    The Southern Great Plains are characterized by a fine-scale mixture of different land-cover types, predominantly winter-wheat and grazed pasture, with relatively small areas of other crops, native prairie, and switchgrass. Recent droughts and predictions of increased drought in the Southern Great Plains, especially during the summer months, raise concern for these ecosystems. We measured ecosystem carbon and water fluxes with eddy-covariance systems over cultivated cropland for 10 years, and over lightly grazed prairie and new switchgrass fields for 2 years each. Growing-season precipitation showed the strongest control over net carbon uptake for all ecosystems, but with a variable effect: grasses (prairie and switchgrass) needed at least 350 mm of precipitation during the growing season to become net carbon sinks, while crops needed only 100 mm. In summer, high temperatures enhanced evaporation and led to higher likelihood of dry soil conditions. Therefore, summer-growing native prairie species and switchgrass experienced more seasonal droughts than spring-growing crops. For wheat, the net reduction in carbon uptake resulted mostly from a decrease in gross primary production rather than an increase in respiration. Flux measurements suggested that management practices for crops were effective in suppressing evapotranspiration and decomposition (by harvesting and removing secondary growth), and in increasing carbon uptake (by fertilizing and conserving summer soil water). In light of future projections for wetter springs and drier and warmer summers in the Southern Great Plains, our study indicates an increased vulnerability in native ecosystems and summer crops over time.

  4. EVALUATING SHORT-TERM CLIMATE VARIABILITY IN THE LATE HOLOCENE OF THE NORTHERN GREAT PLAINS

    SciTech Connect (OSTI)

    Joseph H. Hartman

    1999-09-01

    This literature study investigated methods and areas to deduce climate change and climate patterns, looking for short-term cycle phenomena and the means to interpret them. Many groups are actively engaged in intensive climate-related research. Ongoing research might be (overly) simplified into three categories: (1) historic data on weather that can be used for trend analysis and modeling; (2) detailed geological, biological (subfossil), and analytical (geochemical, radiocarbon, etc.) studies covering the last 10,000 years (about since last glaciation); and (3) geological, paleontological, and analytical (geochemical, radiometric, etc.) studies over millions of years. Of importance is our ultimate ability to join these various lines of inquiry into an effective means of interpretation. At this point, the process of integration is fraught with methodological troubles and misconceptions about what each group can contribute. This project has met its goals to the extent that it provided an opportunity to study resource materials and consider options for future effort toward the goal of understanding the natural climate variation that has shaped our current civilization. A further outcome of this project is a proposed methodology based on ''climate sections'' that provides spatial and temporal correlation within a region. The method would integrate cultural and climate data to establish the climate history of a region with increasing accuracy with progressive study and scientific advancement (e. g., better integration of regional and global models). The goal of this project is to better understand natural climatic variations in the recent past (last 5000 years). The information generated by this work is intended to provide better context within which to examine global climate change. The ongoing project will help to establish a basis upon which to interpret late Holocene short-term climate variability as evidenced in various studies in the northern Great Plains, northern hemisphere, and elsewhere. Finally these data can be integrated into a history of climate change and predictive climate models. This is not a small undertaking. The goals of researchers and the methods used vary considerably. The primary task of this project was literature research to (1) evaluate existing methodologies used in geologic climate change studies and evidence for short-term cycles produced by these methodologies and (2) evaluate late Holocene climate patterns and their interpretations.

  5. AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont...

    Office of Scientific and Technical Information (OSTI)

    plot was burned on 20050308. The second plot, US-ARc, was left unburned as the ... Country of Publication: United States Language: English Word Cloud More Like This Dataset File ...

  6. The Low-Level Jet over the Southern Great Plains Determined from Observations and Reanalyses and Its Impact on Moisture Transport

    SciTech Connect (OSTI)

    Berg, Larry K.; Riihimaki, Laura D.; Qian, Yun; Yan, Huiping; Huang, Maoyi

    2015-09-01

    This study utilizes five commonly used reanalysis products, including the NCEP-DOE Reanalysis 2 (NCEP2), ECMWF Re-Analysis (ERA)-Interim, Japanese 25-year Reanalysis (JRA-25), Modern-Era Retrospective Analysis for Research and Applications (MERRA), and North American Regional Reanalysis (NARR) to evaluate features of the Southern Great Plains Low Level Jet (LLJ) above the Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) Southern Great Plains site. Two sets of radiosonde data are utilized: the six-week Midlatitude Continental Convective Clouds Experiment (MC3E), and a ten-year period spanning 2001-2010. All five reanalysis are compared to MC3E data, while only the NARR and MERRA are compared to the ten-year data. Each reanalysis is able to represent most aspects of the composite LLJ profile, although there is a tendency for each reanalysis to overestimate the wind speed between the nose of the LLJ and 700 mb. There are large discrepancies in the number of LLJ observed and derived from the reanalysis, particularly for strong LLJs that leads to an underestimate of the water vapor transport associated with LLJs. When the ten-year period is considered, the NARR overestimates and MERRA underestimates the total moisture transport, but both underestimate the transport associated with strong LLJs by factors of 2.0 and 2.7 for the NARR and MERR, respectively. During MC3E there were differences in the patterns of moisture convergence and divergence, with the MERRA having an area of moisture divergence over Oklahoma, while the NARR has moisture convergence. The patterns of moisture convergence and divergence are more consistent during the ten-year period.

  7. Vulnerability of crops and native grasses to summer drying in the U.S. Southern Great Plains

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

    Raz-Yaseef, Naama; Billesbach, Dave P.; Fischer, Marc L.; Biraud, Sebastien C.; Gunter, Stacey A.; Bradford, James A.; Torn, Margaret S.

    2015-08-31

    The Southern Great Plains are characterized by a fine-scale mixture of different land-cover types, predominantly winter-wheat and grazed pasture, with relatively small areas of other crops, native prairie, and switchgrass. Recent droughts and predictions of increased drought in the Southern Great Plains, especially during the summer months, raise concern for these ecosystems. We measured ecosystem carbon and water fluxes with eddy-covariance systems over cultivated cropland for 10 years, and over lightly grazed prairie and new switchgrass fields for 2 years each. Growing-season precipitation showed the strongest control over net carbon uptake for all ecosystems, but with a variable effect: grassesmore » (prairie and switchgrass) needed at least 350 mm of precipitation during the growing season to become net carbon sinks, while crops needed only 100 mm. In summer, high temperatures enhanced evaporation and led to higher likelihood of dry soil conditions. Therefore, summer-growing native prairie species and switchgrass experienced more seasonal droughts than spring-growing crops. For wheat, the net reduction in carbon uptake resulted mostly from a decrease in gross primary production rather than an increase in respiration. Flux measurements suggested that management practices for crops were effective in suppressing evapotranspiration and decomposition (by harvesting and removing secondary growth), and in increasing carbon uptake (by fertilizing and conserving summer soil water). In light of future projections for wetter springs and drier and warmer summers in the Southern Great Plains, our study indicates an increased vulnerability in native ecosystems and summer crops over time.« less

  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. A Comparison of Multiscale Variations of Decade-long Cloud Fractions from

    Office of Scientific and Technical Information (OSTI)

    Six Different Platforms over the Southern Great Plains in the United States (Journal Article) | SciTech Connect A Comparison of Multiscale Variations of Decade-long Cloud Fractions from Six Different Platforms over the Southern Great Plains in the United States Citation Details In-Document Search Title: A Comparison of Multiscale Variations of Decade-long Cloud Fractions from Six Different Platforms over the Southern Great Plains in the United States This study investigates 1997-2011

  10. Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains Site

    SciTech Connect (OSTI)

    Jensen, M. P.; Holdridge, D.; Survo, P.; Lehtinen, R.; Baxter, S.; Toto, T.; Johnson, K. L.

    2015-11-02

    In the fall of 2013, the Vaisala RS41-SG (4th generation) radiosonde was introduced as a replacement for the RS92-SGP radiosonde with improvements in measurement accuracy of profiles of atmospheric temperature, humidity and pressure. Thus, in order to help characterize these improvements, an intercomparison campaign was undertaken at the US Department of Energy's Atmospheric Radiation Measurement (ARM) Facility site in north Central Oklahoma USA. During 3–8 June 2014, a total of 20 twin-radiosonde flights were performed in a variety of atmospheric conditions representing typical midlatitude continental summertime conditions. The results suggest that the RS92 and RS41 measurements generally agree within manufacturer specified tolerances with notable exceptions when exiting liquid cloud layers where the "wet bulbing" effect is mitigated in the RS41 observations. The RS41 measurements also appear to show a smaller impact from solar heating. These results suggest that the RS41 does provide important improvements, particularly in cloudy conditions, but under most observational conditions the RS41 and RS92 measurements agree within the manufacturer specified limits and so a switch to RS41 radiosondes will have little impact on long-term observational records.

  11. Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains Site

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

    Jensen, M. P.; Holdridge, D.; Survo, P.; Lehtinen, R.; Baxter, S.; Toto, T.; Johnson, K. L.

    2015-11-02

    In the fall of 2013, the Vaisala RS41-SG (4th generation) radiosonde was introduced as a replacement for the RS92-SGP radiosonde with improvements in measurement accuracy of profiles of atmospheric temperature, humidity and pressure. Thus, in order to help characterize these improvements, an intercomparison campaign was undertaken at the US Department of Energy's Atmospheric Radiation Measurement (ARM) Facility site in north Central Oklahoma USA. During 3–8 June 2014, a total of 20 twin-radiosonde flights were performed in a variety of atmospheric conditions representing typical midlatitude continental summertime conditions. The results suggest that the RS92 and RS41 measurements generally agree within manufacturermore » specified tolerances with notable exceptions when exiting liquid cloud layers where the "wet bulbing" effect is mitigated in the RS41 observations. The RS41 measurements also appear to show a smaller impact from solar heating. These results suggest that the RS41 does provide important improvements, particularly in cloudy conditions, but under most observational conditions the RS41 and RS92 measurements agree within the manufacturer specified limits and so a switch to RS41 radiosondes will have little impact on long-term observational records.« less

  12. Newsletter Southern Great Plains

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

    U.S. Department of Energy. Scientists to Validate Satellite-Based Ozone Measurements Aura, the third and final satellite in the National Aeronautics and Space Administration...

  13. Newsletter Southern Great Plains

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

    SGP site, located a third-party provider for the gear and purchased a small supply. ... sensors * Sun trackers * Uninterruptible power supplies * Computer monitors, drives * ...

  14. Southern Great Plains

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

    uses laser technology to measure vertical profiles of atmospheric properties. The system will be out of service from late June until mid August. New signal acquisition and...

  15. Southern Great Plains

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

    These results contradicted the logic and evidence of global warming. If Earth is getting hotter, how can incoming sunlight be decreasing? Ohmura was shocked by the results, and ...

  16. Southern Great Plains

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

    the RWP can measure wind speeds and temperatures up to 10 miles directly above its location. To measure wind speeds and directions, Dr. May uses the Doppler principle. When...

  17. Northern Great Plains

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

    Northern G reat P lains Climate C hange a nd t he U .S. E nergy S ector: Regional v ulnerabilities a nd r esilience s olutions Summary i n B rief The N orthern G reat P lains i s h ...

  18. Southern Great Plains

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

    site accurately. Other extended facilities are located over wheat, pasture, rangeland, alfalfa, and native prairie. Okmulgee State Park contains 535 acres housing 100 campsites,...

  19. Coal. [Great Plains Project

    SciTech Connect (OSTI)

    Not Available

    1981-03-01

    The status of various research projects related to coal is considered: gasification (approximately 30 processes) and in-situ gasification. Methanol production, retrofitting internal combustion engines to stratified charge engines, methanation (Conoco), direct reduction of iron ores, water resources, etc. Approximately 200 specific projects related to coal are considered with respect to present status. (LTN)

  20. Newsletter Southern Great Plains

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

    12, 2007. Munchkin has been with us since 1993. He has been a fine and loyal friend, guardian, and companion on long shifts and a part of the ARM family. He personally greeted...

  1. Southern Great Plains

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

    installed together at the SGP central facility (ARM photo). October 2004 3 Okmulgee Turkey Vultures Thwarted . . . Finally After years of trying to keep messy turkey vultures...

  2. Newsletter Southern Great Plains

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

    designed to measure the mixing ratio of CO2 from space. The mixing ratio is the proportion of dry air that is composed of CO2. Researchers will fly an aircraft over the SGP...

  3. Southern Great Plains

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

    of DOE's funding for ACRF is to provide educational resources to anyone interested in learning more about climate sciences, weather, research techniques, or instrumentation. ACRF...

  4. Structural and functional diversity of soil bacterial and fungal communities following woody plant encroachment in the southern Great Plains

    SciTech Connect (OSTI)

    Hollister, Emily B; Schadt, Christopher Warren; Palumbo, Anthony Vito; Ansley, R J; Boutton, Thomas W

    2010-01-01

    In the southern Great Plains (USA), encroachment of grassland ecosystems by Prosopis glandulosa (honey mesquite) is widespread. Mesquite encroachment alters net primary productivity, enhances stores of C and N in plants and soil, and leads to increased levels of soil microbial biomass and activity. While mesquite's impact on the biogeochemistry of the region is well established, it effects on soil microbial diversity and function are unknown. In this study, soils associated with four plant types (C{sub 3} perennial grasses, C{sub 4} midgrasses, C{sub 4} shortgrasses, and mesquite) from a mesquite-encroached mixed grass prairie were surveyed to in an attempt to characterize the structure, diversity, and functional capacity of their soil microbial communities. rRNA gene cloning and sequencing were used in conjunction with the GeoChip functional gene array to evaluate these potential differences. Mesquite soil supported increased bacterial and fungal diversity and harbored a distinct fungal community relative to other plant types. Despite differences in composition and diversity, few significant differences were detected with respect to the potential functional capacity of the soil microbial communities. These results may suggest that a high level of functional redundancy exists within the bacterial portion of the soil communities; however, given the bias of the GeoChip toward bacterial functional genes, potential functional differences among soil fungi could not be addressed. The results of this study illustrate the linkages shared between above- and belowground communities and demonstrate that soil microbial communities, and in particular soil fungi, may be altered by the process of woody plant encroachment.

  5. Observed and Simulated Cirrus Cloud Properties at the SGP CART...

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

    Program Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site. Three-minute mean retrievals are available at 8-minute intervals for isolated cirrus (i.e., no...

  6. Multi-EM27/SUN Total Carbon Column Observing Network (TCCON) Comparison at the Southern Great Plains Site Field Campaign Report

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

    9 Multi-EM27/SUN Total Carbon Column Observing Network (TCCON) Comparison at the Southern Great Plains Site Field Campaign Report H Parker J Hedelius April 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus,

  7. Multi-EM27/SUN Total Carbon Column Observing Network (TCCON) Comparison at the Southern Great Plains Site Field Campaign Report

    Office of Scientific and Technical Information (OSTI)

    9 Multi-EM27/SUN Total Carbon Column Observing Network (TCCON) Comparison at the Southern Great Plains Site Field Campaign Report H Parker J Hedelius April 2016 CLIMATE RESEARCH FACILITY DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any

  8. Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scaling

    SciTech Connect (OSTI)

    Riley, W. J.; Biraud, S.C.; Torn, M.S.; Fischer, M.L.; Billesbach, D.P.; Berry, J.A.

    2009-08-15

    Characterizing net ecosystem exchanges (NEE) of CO{sub 2} and sensible and latent heat fluxes in heterogeneous landscapes is difficult, yet critical given expected changes in climate and land use. We report here a measurement and modeling study designed to improve our understanding of surface to atmosphere gas exchanges under very heterogeneous land cover in the mostly agricultural U.S. Southern Great Plains (SGP). We combined three years of site-level, eddy covariance measurements in several of the dominant land cover types with regional-scale climate data from the distributed Mesonet stations and Next Generation Weather Radar precipitation measurements to calibrate a land surface model of trace gas and energy exchanges (isotope-enabled land surface model (ISOLSM)). Yearly variations in vegetation cover distributions were estimated from Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index and compared to regional and subregional vegetation cover type estimates from the U.S. Department of Agriculture census. We first applied ISOLSM at a 250 m spatial scale to account for vegetation cover type and leaf area variations that occur on hundred meter scales. Because of computational constraints, we developed a subsampling scheme within 10 km 'macrocells' to perform these high-resolution simulations. We estimate that the Atmospheric Radiation Measurement Climate Research Facility SGP region net CO{sub 2} exchange with the local atmosphere was -240, -340, and -270 gC m{sup -2} yr{sup -1} (positive toward the atmosphere) in 2003, 2004, and 2005, respectively, with large seasonal variations. We also performed simulations using two scaling approaches at resolutions of 10, 30, 60, and 90 km. The scaling approach applied in current land surface models led to regional NEE biases of up to 50 and 20% in weekly and annual estimates, respectively. An important factor in causing these biases was the complex leaf area index (LAI) distribution within cover types. Biases in predicted weekly average regional latent heat fluxes were smaller than for NEE, but larger than for either ecosystem respiration or assimilation alone. However, spatial and diurnal variations of hundreds of W m{sup -2} in latent heat fluxes were common. We conclude that, in this heterogeneous system, characterizing vegetation cover type and LAI at the scale of spatial variation are necessary for accurate estimates of bottom-up, regional NEE and surface energy fluxes.

  9. First observations of tracking clouds using scanning ARM cloud radars

    SciTech Connect (OSTI)

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (first echo). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud field and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.

  10. Effects of experimental warming and clipping on metabolic change of microbial community in a US Great Plains tallgrass prairie

    SciTech Connect (OSTI)

    Xie, Jianping; Liu, Xinxing; Liu, Xueduan; Nostrand, Joy D. Van; Deng, Ye; Wu, Liyou; He, Zhili; Qiu, Guanzhou; Zhou, Jizhong

    2010-05-17

    While more and more studies are being conducted on the effects of global warming, little is known regarding the response of metabolic change of whole soil microbial communities to this phenomenon. In this study, functional gene changes at the mRNA level were analyzed by our new developed GeoChip 3.0. Soil samples were taken from a long-term climate warming experiment site, which has been conducted for ~;;8 years at the Kessler Farm Field Laboratory, a 137.6-ha farm located in the Central Redbed Plains, in McClain County, Oklahoma. The experiment uses a paired factorial design with warming as the primary factor nested with clipping as a secondary factor. An infrared heater was used to simulate global warming, and clipping was used to mimic mowing hay. Twelve 2m x 2m plots were divided into six pairs of warmed and control plots. The heater generates a constant output of ~;;100 Watts m-2 to approximately 2 oC increase in soil temperature above the ambient plots, which is at the low range of the projected climate warming by IPCC. Soil whole microbial communities? mRNA was extracted, amplified, labeled and hybridized with our GeoChip 3.0, a functional gene array covering genes involved in N, C, P, and S cycling, metal resistance and contaminant degradation, to examine expressed genes. The results showed that a greater number and higher diversity of genes were expressed under warmed plots compared to control. Detrended correspondence analysis (DCA) of all detected genes showed that the soil microbial communities were clearly altered by warming, with or without clipping. The dissimilarity of the communities based on functional genes was tested and results showed that warming and control communities were significantly different (P<0.05), with or without clipping. Most genes involved in C, N, P and S cycling were expressed at higher levels in warming samples compared to control samples. All of the results demonstrated that the whole microbial communities increase functional gene expression under warming with or without clipping in order to adapt the changed out environment. More detail analysis is underway.

  11. Evaluation of a 5-Year Cloud and Radiative Property Dataset Derived from GOES-8 Data over the Southern Great Plains

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

    Oil & Natural Gas Technology DOE Award No.: DE-FC26-01NT41248 Evaluation of Wax Deposition and Its Control During Production of Alaska North Slope Oils Petroleum Development Laboratory Institute of Northern Engineering University of Alaska Fairbanks P.O. Box 755880 Fairbanks, Alaska 99775-5880 Prepared for: United States Department of Energy National Energy Technology Laboratory December 2008 Office of Fossil Energy Evaluation of Wax Deposition and Its Control During Production of Alaskan

  12. Atmospheric State, Cloud Microphysics and Radiative Flux

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

    Mace, Gerald

    2008-01-15

    Atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates for the ARM Southern Great Plains (SGP) site. The data represent a characterization of the physical state of the atmospheric column compiled on a five-minute temporal and 90m vertical grid. Sources for this information include raw measurements, cloud property and radiative retrievals, retrievals and derived variables from other third-party sources, and radiative calculations using the derived quantities.

  13. Atmospheric State, Cloud Microphysics and Radiative Flux

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

    Mace, Gerald

    Atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates for the ARM Southern Great Plains (SGP) site. The data represent a characterization of the physical state of the atmospheric column compiled on a five-minute temporal and 90m vertical grid. Sources for this information include raw measurements, cloud property and radiative retrievals, retrievals and derived variables from other third-party sources, and radiative calculations using the derived quantities.

  14. Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM)

    SciTech Connect (OSTI)

    Parworth, Caroline; Tilp, Alison; Fast, Jerome; Mei, Fan; Shippert, Tim; Sivaraman, Chitra; Watson, Thomas; Zhang, Qi

    2015-04-01

    In this study the long-term trends of non-refractory submicrometer aerosol (NR-PM1) composition and mass concentration measured by an Aerosol Chemical Speciation Monitor (ACSM) at the Atmospheric Radiation Measurement (ARM) program's Southern Great Plains (SGP) site are discussed. NR-PM1 data was recorded at ~30 min intervals over a period of 19 months between November 2010 and June 2012. Positive Matrix Factorization (PMF) was performed on the measured organic mass spectral matrix using a rolling window technique to derive factors associated with distinct sources, evolution processes, and physiochemical properties. The rolling window approach also allows us to capture the dynamic variations of the chemical properties in the organic aerosol (OA) factors over time. Three OA factors were obtained including two oxygenated OA (OOA) factors, differing in degrees of oxidation, and a biomass burning OA (BBOA) factor. Back trajectory analyses were performed to investigate possible sources of major NR-PM1 species at the SGP site. Organics dominated NR-PM1 mass concentration for the majority of the study with the exception of winter, when ammonium nitrate increases due to transport of precursor species from surrounding urban and agricultural areas and also due to cooler temperatures. Sulfate mass concentrations have little seasonal variation with mixed regional and local sources. In the spring BBOA emissions increase and are mainly associated with local fires. Isoprene and carbon monoxide emission rates were obtained by the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and the 2011 U.S. National Emissions Inventory to represent the spatial distribution of biogenic and anthropogenic sources, respectively. The combined spatial distribution of isoprene emissions and air mass trajectories suggest that biogenic emissions from the southeast contribute to SOA formation at the SGP site during the summer.

  15. Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM)

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

    Parworth, Caroline; Tilp, Alison; Fast, Jerome; Mei, Fan; Shippert, Tim; Sivaraman, Chitra; Watson, Thomas; Zhang, Qi

    2015-04-01

    In this study the long-term trends of non-refractory submicrometer aerosol (NR-PM1) composition and mass concentration measured by an Aerosol Chemical Speciation Monitor (ACSM) at the Atmospheric Radiation Measurement (ARM) program's Southern Great Plains (SGP) site are discussed. NR-PM1 data was recorded at ~30 min intervals over a period of 19 months between November 2010 and June 2012. Positive Matrix Factorization (PMF) was performed on the measured organic mass spectral matrix using a rolling window technique to derive factors associated with distinct sources, evolution processes, and physiochemical properties. The rolling window approach also allows us to capture the dynamic variations ofmore » the chemical properties in the organic aerosol (OA) factors over time. Three OA factors were obtained including two oxygenated OA (OOA) factors, differing in degrees of oxidation, and a biomass burning OA (BBOA) factor. Back trajectory analyses were performed to investigate possible sources of major NR-PM1 species at the SGP site. Organics dominated NR-PM1 mass concentration for the majority of the study with the exception of winter, when ammonium nitrate increases due to transport of precursor species from surrounding urban and agricultural areas and also due to cooler temperatures. Sulfate mass concentrations have little seasonal variation with mixed regional and local sources. In the spring BBOA emissions increase and are mainly associated with local fires. Isoprene and carbon monoxide emission rates were obtained by the Model of Emissions of Gases and Aerosols from Nature (MEGAN) and the 2011 U.S. National Emissions Inventory to represent the spatial distribution of biogenic and anthropogenic sources, respectively. The combined spatial distribution of isoprene emissions and air mass trajectories suggest that biogenic emissions from the southeast contribute to SOA formation at the SGP site during the summer.« less

  16. Long-term Measurements of Submicrometer Aerosol Chemistry at the Southern Great Plains (SGP) Using an Aerosol Chemical Speciation Monitor (ACSM)

    SciTech Connect (OSTI)

    Parworth, Caroline; Fast, Jerome D.; Mei, Fan; Shippert, Timothy R.; Sivaraman, Chitra; Tilp, Alison; Watson, Thomas; Zhang, Qi

    2015-04-01

    In this study the long-term trends of non-refractory submicrometer aerosol (NR-PM1) composition and mass concentration measured by an Aerosol Chemical Speciation Monitor (ACSM) at the U.S. Department of Energy’s Southern Great Plains (SGP) site are discussed. Over the period of 19 months (Nov. 20, 2010 – June 2012) highly time resolved (~30 min.) NR-PM1 data was recorded. Using this dataset the value-added product (VAP) of deriving organic aerosol components (OACOMP) is introduced. With this VAP, multivariate analysis of the measured organic mass spectral matrix can be performed on long term data to return organic aerosol (OA) factors that are associated with distinct sources, evolution processes, and physiochemical properties. Three factors were obtained from this VAP including two oxygenated OA (OOA) factors, differing in degrees of oxidation, and a biomass burning OA (BBOA) factor. Back trajectory analyses were performed to investigate possible sources of major NR-PM1 species at the SGP site. Organics dominated NR-PM1 mass concentration for the majority of the study with the exception of winter, when nitrate increased due to transport of precursor species from surrounding urban and agricultural areas and also due to cooler temperatures. Sulfate mass concentrations showed little seasonal variation with mixed regional and local sources. In the spring BBOA emissions increased and were mainly associated with local fires. Isoprene and carbon monoxide emission rates were computed by the Model of Emissions of Gases and Aerosols from Nature (MEGAN) to represent the spatial distribution of biogenic and anthropogenic sources, respectively. From this model there is evidence to support that biogenic emissions from the southeast contribute to SOA formation at the SGP site during the summer.

  17. Infrared Cloud Imager Measurements of Cloud Statistics from the 2003 Cloudiness Intercomparison Campaign

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

    Infrared Cloud Imager Measurements of Cloud Statistics from the 2003 Cloudiness Intercomparison Campaign B. Thurairajah and J. A. Shaw Department of Electrical and Computer Engineering Montana State University Bozeman, Montana Introduction The Cloudiness Inter-Comparison Intensive Operational Period (CIC IOP) occurred at the Atmospheric Radiation Measurement (ARM), Southern Great Plains (SGP) central facility site in Lamont, Oklahoma from mid-February to mid-April 2003 (Kassianov et al. 2004).

  18. First observations of tracking clouds using scanning ARM cloud radars

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

    Borque, Paloma; Giangrande, Scott; Kollias, Pavlos

    2014-12-01

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (‘‘first echo’’). These measurements complement cloud and precipitation tracking using geostationary satellites and weather radars. Here, two-dimensional (2-D) Along-Wind Range Height Indicator (AW-RHI) observations of a population of shallow cumuli (with and without precipitation) from the 35-GHz scanning ARM cloud radar (SACR) at the DOE Atmospheric Radiation Measurements (ARM) program Southern Great Plains (SGP) site are presented. Observations from the ARM SGP network of scanning precipitation radars are used to provide the larger scale context of the cloud fieldmore » and to highlight the advantages of the SACR to detect the numerous, small, non-precipitating cloud elements. A new Cloud Identification and Tracking Algorithm (CITA) is developed to track cloud elements. In CITA, a cloud element is identified as a region having a contiguous set of pixels exceeding a preset reflectivity and size threshold. The high temporal resolution of the SACR 2-D observations (30 sec) allows for an area superposition criteria algorithm to match cloud elements at consecutive times. Following CITA, the temporal evolution of cloud element properties (number, size, and maximum reflectivity) is presented. The vast majority of the designated elements during this cumulus event were short-lived non-precipitating clouds having an apparent life cycle shorter than 15 minutes. The advantages and disadvantages of cloud tracking using an SACR are discussed.« less

  19. Retrievals of Cloud Fraction and Cloud Albedo from Surface-based Shortwave Radiation Measurements: A Comparison of 16 Year Measurements

    SciTech Connect (OSTI)

    Xie, Yu; Liu, Yangang; Long, Charles N.; Min, Qilong

    2014-07-27

    Ground-based radiation measurements have been widely conducted to gain information on clouds and the surface radiation budget; here several different techniques for retrieving cloud fraction (Long2006, Min2008 and XL2013) and cloud albedo (Min2008, Liu2011 and XL2013) from ground-based shortwave broadband and spectral radiation measurements are examined, and sixteen years of retrievals collected at the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site are compared. The comparison shows overall good agreement between the retrievals of both cloud fraction and cloud albedo, with noted differences however. The Long2006 and Min2008 cloud fractions are greater on average than the XL2013 values. Compared to Min2008 and Liu2011, the XL2013 retrieval of cloud albedo tends to be greater for thin clouds but smaller for thick clouds, with the differences decreasing with increasing cloud fraction. Further analysis reveals that the approaches that retrieve cloud fraction and cloud albedo separately may suffer from mutual contamination of errors in retrieved cloud fraction and cloud albedo. Potential influences of cloud absorption, land-surface albedo, cloud structure, and measurement instruments are explored.

  20. Testing and Deployment of an Infrared Thermometer Network at the ARM Southern Great Plains Climate Research Facility Victor R. Morris and Charles N. Long Pacific Northwest National Laboratory

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

    Operational Testing * Installed in October 2005 at SGP Guest Instrument Facility * Failed after 3 weeks due to moisture intrusion * Modified by manufacturer to minimize internal condensation * Reinstalled in August 2006 * Evaluated reliability of system and characteristics of data * Cloud images compare favorably with those from TSI * Cloud fraction data underestimate TSI values, especially when sky is overcast Operational Testing * Installed in October 2005 at SGP Guest Instrument Facility *

  1. Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems

    Office of Scientific and Technical Information (OSTI)

    (HI-SCALE) Science Plan (Program Document) | SciTech Connect Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science Plan Citation Details In-Document Search Title: Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science Plan Cumulus convection is an important component in the atmospheric radiation budget and hydrologic cycle over the Southern Great Plains and over many regions of the world, particularly during the

  2. An Analysis of Cloud Absorption During

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

    Analysis of Cloud Absorption During ARESE II (Spring 2000) D. M. Powell, R. T. Marchand, and T. P. Ackerman Pacific Northwest National Laboratory Richland, Washington Introduction In early spring 2000, Atmospheric Radiation Measurement (ARM) Program researchers held an intensive operational period (IOP) at the ARM Southern Great Plains (SGP) site. This IOP had several objectives, one of which was to was to re-evaluate (with redundant measurements wherever possible) absorption by low-level

  3. Thermodynamic phase profiles of optically thin midlatitude cloud and their relation to temperature

    SciTech Connect (OSTI)

    Naud, C. M.; Del Genio, Anthony D.; Haeffelin, M.; Morille, Y.; Noel, V.; Dupont, Jean-Charles; Turner, David D.; Lo, Chaomei; Comstock, Jennifer M.

    2010-06-03

    Winter cloud phase and temperature profiles derived from ground-based lidar depolarization and radiosonde measurements are analyzed for two midlatitude locations: the United States Atmospheric Radiation Measurement Program Southern Great Plains (SGP) site and the Site Instrumental de Recherche par Télédétection Atmosphérique (SIRTA) in France. Because lidars are attenuated in optically thick clouds, the dataset only includes optically thin clouds (optical thickness < 3). At SGP, 57% of the clouds observed with the lidar in the temperature range 233-273 K are either completely liquid or completely glaciated, while at SIRTA only 42% of the observed clouds are single phase, based on a depolarization ratio threshold of 11% for differentiating liquid from ice. Most optically thin mixed phase clouds show an ice layer at cloud top, and clouds with liquid at cloud top are less frequent. The relationship between ice phase occurrence and temperature only slightly changes between cloud base and top. At both sites liquid is more prevalent at colder temperatures than has been found previously in aircraft flights through frontal clouds of greater optical thicknesses. Liquid in clouds persists to colder temperatures at SGP than SIRTA. This information on the average temperatures of mixed phase clouds at both locations complements earlier passive satellite remote sensing measurements that sample cloud phase near cloud top and for a wider range of cloud optical thicknesses.

  4. ARM - Publications: Science Team Meeting Documents: The impact of Cloud and

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

    Radiation on the Great Plains Climate Change during 1981-2003 The impact of Cloud and Radiation on the Great Plains Climate Change during 1981-2003 Popham, Julie University of North Dakota The global average air surface temperature has increased about 0.6oC over the 20th century (Houghton et al. 2001). This warming has resulted in a 10% decrease in the extent of snow cover observed from satellite, and about two weeks reduction in the annual duration of lake and river ice cover in the mid-

  5. The Great Plains Wind Power Test Facility

    SciTech Connect (OSTI)

    Schroeder, John

    2014-01-31

    This multi-year, multi-faceted project was focused on the continued development of a nationally-recognized facility for the testing, characterization, and improvement of grid-connected wind turbines, integrated wind-water desalination systems, and related educational and outreach topics. The project involved numerous faculty and graduate students from various engineering departments, as well as others from the departments of Geosciences (in particular the Atmospheric Science Group) and Economics. It was organized through the National Wind Institute (NWI), which serves as an intellectual hub for interdisciplinary and transdisciplinary research, commercialization and education related to wind science, wind energy, wind engineering and wind hazard mitigation at Texas Tech University (TTU). Largely executed by an academic based team, the project resulted in approximately 38 peer-reviewed publications, 99 conference presentations, the development/expansion of several experimental facilities, and two provisional patents.

  6. Southern Great Plains Ice Nuclei Characterization Experiment...

    Office of Scientific and Technical Information (OSTI)

    Authors: DeMott, PJ 1 ; Suski, KJ 1 ; Hill, TCJ 1 ; Levin, EJT 1 + Show Author Affiliations Colorado State University Publication Date: 2015-03-01 OSTI Identifier: 1232637 ...

  7. ARM - Lesson Plans: Southern Great Plains

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

    Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox ...

  8. Great Plains Institute | Open Energy Information

    Open Energy Info (EERE)

    and implement policies, technologies and practices in the areas of energy security and bio-based materials. Coordinates: 44.979035, -93.264929 Show Map Loading map......

  9. Southern Great Plains Ice Nuclei Characterization Experiment

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

    Southeastern Power Administration Southeastern Power Administration Power Operations Click to view a map of SEPA power operations. Latest Rate Schedules October 1, 2015 KP-AP-1-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott October 1, 2015 KP-AP-2-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott October 1, 2015 KP-AP-3-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott More schedules Annual

  10. The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final

    Office of Scientific and Technical Information (OSTI)

    Campaign Report (Program Document) | SciTech Connect Program Document: The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final Campaign Report Citation Details In-Document Search Title: The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final Campaign Report The Mid-latitude Continental Convective Clouds Experiment (MC3E) took place from April 22 through June 6, 2011, centered at the ARM Southern Great Plains site (http://www.arm.gov/sites/sgp) in northcentral

  11. The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final

    Office of Scientific and Technical Information (OSTI)

    Campaign Report (Technical Report) | SciTech Connect The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final Campaign Report Citation Details In-Document Search Title: The Mid-latitude Continental Convective Clouds (MC3E) Experiment Final Campaign Report The Mid-latitude Continental Convective Clouds Experiment (MC3E) took place from April 22 through June 6, 2011, centered at the ARM Southern Great Plains site (http://www.arm.gov/sites/sgp) in northcentral Oklahoma. MC3E was a

  12. Modeling Springtime Shallow Frontal Clouds with Cloud-Resolving...

    Office of Scientific and Technical Information (OSTI)

    the Southern Great Plains and moisture transport from northwestern part of the Gulf of Mexico. This study emphasizes quantitative comparisons among model simulations and with data,...

  13. Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science Plan

    SciTech Connect (OSTI)

    Fast, JD; Berg, LK

    2015-12-01

    Cumulus convection is an important component in the atmospheric radiation budget and hydrologic cycle over the Southern Great Plains and over many regions of the world, particularly during the summertime growing season when intense turbulence induced by surface radiation couples the land surface to clouds. Current convective cloud parameterizations contain uncertainties resulting in part from insufficient coincident data that couples cloud macrophysical and microphysical properties to inhomogeneities in boundary layer and aerosol properties. The Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) campaign is designed to provide a detailed set of measurements that are needed to obtain a more complete understanding of the life cycle of shallow clouds by coupling cloud macrophysical and microphysical properties to land surface properties, ecosystems, and aerosols. HI-SCALE consists of 2, 4-week intensive observational periods, one in the spring and the other in the late summer, to take advantage of different stages and distribution of “greenness” for various types of vegetation in the vicinity of the Atmospheric Radiation and Measurement (ARM) Climate Research Facility’s Southern Great Plains (SGP) site as well as aerosol properties that vary during the growing season. Most of the proposed instrumentation will be deployed on the ARM Aerial Facility (AAF) Gulfstream 1 (G-1) aircraft, including those that measure atmospheric turbulence, cloud water content and drop size distributions, aerosol precursor gases, aerosol chemical composition and size distributions, and cloud condensation nuclei concentrations. Routine ARM aerosol measurements made at the surface will be supplemented with aerosol microphysical properties measurements. The G-1 aircraft will complete transects over the SGP Central Facility at multiple altitudes within the boundary layer, within clouds, and above clouds.

  14. Scanning ARM Cloud Radar Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N; Johnson, K

    2012-06-18

    The scanning ARM cloud radar (SACR) is a polarimetric Doppler radar consisting of three different radar designs based on operating frequency. These are designated as follows: (1) X-band SACR (X-SACR); (2) Ka-band SACR (Ka-SACR); and (3) W-band SACR (W-SACR). There are two SACRs on a single pedestal at each site where SACRs are deployed. The selection of the operating frequencies at each deployed site is predominantly determined by atmospheric attenuation at the site. Because RF attenuation increases with atmospheric water vapor content, ARM's Tropical Western Pacific (TWP) sites use the X-/Ka-band frequency pair. The Southern Great Plains (SGP) and North Slope of Alaska (NSA) sites field the Ka-/W-band frequency pair. One ARM Mobile Facility (AMF1) has a Ka/W-SACR and the other (AMF2) has a X/Ka-SACR.

  15. SGP Cloud and Land Surface Interaction Campaign (CLASIC): Science and Implementation Plan

    SciTech Connect (OSTI)

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

    2007-06-30

    The Cloud and Land Surface Interaction Campaign is a field experiment designed to collect a comprehensive data set that can be used to quantify the interactions that occur between the atmosphere, biosphere, land surface, and subsurface. A particular focus will be on how these interactions modulate the abundance and characteristics of small and medium size cumuliform clouds that are generated by local convection. These interactions are not well understood and are responsible for large uncertainties in global climate models, which are used to forecast future climate states. The campaign will be conducted from June 8 to June 30, 2007, at the U.S. Department of Energys Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains 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 Cloud and Land Surface Interaction Campaign 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 Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Mesoscale and microscale structures will be sampled with a variety of aircraft, surface, and radar observations.

  16. Organic and Elemental Carbon Aerosol Particulates at the Southern Great

    Office of Scientific and Technical Information (OSTI)

    Plains Site Field Campaign Report (Program Document) | SciTech Connect Program Document: Organic and Elemental Carbon Aerosol Particulates at the Southern Great Plains Site Field Campaign Report Citation Details In-Document Search Title: Organic and Elemental Carbon Aerosol Particulates at the Southern Great Plains Site Field Campaign Report The purpose of this study was to measure the organic carbon (OC) and elemental carbon (EC) fractions of PM2.5 particulate matter at the U.S. Department

  17. Plain Language Training | Department of Energy

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

    Plain Language Training Plain Language Training The Department has an active and popular Plain Language Training Program. Between April 2013 and March 2014, there were six Plain ...

  18. Plain Writing Implementation Plan | Department of Energy

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

    PDF icon Plain Writing Implementation Plan July 13, 2011.pdf More Documents & Publications Plain Language Compliance Report (2012) PLAIN LANGUAGE COMPLIANCE REPORT (2013) Plain ...

  19. Development and Testing of a Life Cycle Model and a Parameterization of Thin Mid-level Stratiform Clouds

    SciTech Connect (OSTI)

    Krueger, Steven K.

    2008-03-03

    We used a cloud-resolving model (a detailed computer model of cloud systems) to evaluate and improve the representation of clouds in global atmospheric models used for numerical weather prediction and climate modeling. We also used observations of the atmospheric state, including clouds, made at DOE's Atmospheric Radiation Measurement (ARM) Program's Climate Research Facility located in the Southern Great Plains (Kansas and Oklahoma) during Intensive Observation Periods to evaluate our detailed computer model as well as a single-column version of a global atmospheric model used for numerical weather prediction (the Global Forecast System of the NOAA National Centers for Environmental Prediction). This so-called Single-Column Modeling approach has proved to be a very effective method for testing the representation of clouds in global atmospheric models. The method relies on detailed observations of the atmospheric state, including clouds, in an atmospheric column comparable in size to a grid column used in a global atmospheric model. The required observations are made by a combination of in situ and remote sensing instruments. One of the greatest problems facing mankind at the present is climate change. Part of the problem is our limited ability to predict the regional patterns of climate change. In order to increase this ability, uncertainties in climate models must be reduced. One of the greatest of these uncertainties is the representation of clouds and cloud processes. This project, and ARM taken as a whole, has helped to improve the representation of clouds in global atmospheric models.

  20. RACORO Extended-Term Aircraft Observations of Boundary-Layer Clouds

    SciTech Connect (OSTI)

    Vogelmann, A. M.; McFarquhar, Greg; Ogren, John A.; Turner, David D.; Comstock, Jennifer M.; Feingold, G.; Long, Charles N.; Jonsson, Haf; Bucholtz, Anthony; Collins, Donald R.; Diskin, G. S.; Gerber, H.; Lawson, Paul; Woods, Roy; Andrews, Elizabeth; Yang, Hee-Jung; Chiu, Christine J.; Hartsock, Daniel; Hubbe, John M.; Lo, Chaomei; Marshak, A.; Monroe, Justin; McFarlane, Sally A.; Schmid, Beat; Tomlinson, Jason M.; Toto, Tami

    2012-06-30

    A first-of-a-kind, extended-term cloud aircraft campaign was conducted to obtain an in-situ statistical characterization of boundary-layer clouds needed to investigate cloud processes and refine retrieval algorithms. Coordinated by the Atmospheric Radiation Measurement (ARM) Aerial Facility (AAF), the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign operated over the ARM Southern Great Plains (SGP) site from 22 January to 30 June 2009, collecting 260 h of data during 59 research flights. A comprehensive payload aboard the Center for Interdisciplinary Remotely-Piloted Aircraft Studies (CIRPAS) Twin Otter aircraft measured cloud microphysics, solar and thermal radiation, aerosol properties, and atmospheric state parameters. Proximity to the SGP's extensive complement of surface measurements provides ancillary data that supports modeling studies and enables evaluating a variety of surface retrieval algorithms. The five-month duration enabled sampling a range of conditions associated with the seasonal transition from winter to summer. Although about two-thirds of the cloud flights occurred in May and June, boundary-layer cloud fields were sampled under a variety of environmental and aerosol conditions, with about 75% of the flights occurring in cumulus and stratocumulus. Preliminary analyses show how these data are being used to analyze cloud-aerosol relationships, determine the aerosol sizes that are responsible for nucleating cloud drops, characterize the horizontal variability of the cloud radiative impacts, and evaluate air-borne and surface-based cloud property retrievals. We discuss how conducting an extended-term campaign requires a simplified operating paradigm that is different from that used for typical, short-term, intensive aircraft field programs.

  1. Cloud Optical Properties from the Multifilter Shadowband Radiometer (MFRSRCLDOD): An ARM Value-Added Product

    SciTech Connect (OSTI)

    Turner, DD; McFarlane, SA; Riihimaki, L; Shi, Y; Lo, C; Min, Q

    2014-02-01

    The microphysical properties of clouds play an important role in studies of global climate change. Observations from satellites and surface-based systems have been used to infer cloud optical depth and effective radius. Min and Harrison (1996) developed an inversion method to infer the optical depth of liquid water clouds from narrow band spectral Multifilter Rotating Shadowband Radiometer (MFRSR) measurements (Harrison et al. 1994). Their retrieval also uses the total liquid water path (LWP) measured by a microwave radiometer (MWR) to obtain the effective radius of the warm cloud droplets. Their results were compared with Geostationary Operational Environmental Satellite (GOES) retrieved values at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site (Min and Harrison 1996). Min et al. (2003) also validated the retrieved cloud optical properties against in situ observations, showing that the retrieved cloud effective radius agreed well with the in situ forward scattering spectrometer probe observations. The retrieved cloud optical properties from Min et al. (2003) were used also as inputs to an atmospheric shortwave model, and the computed fluxes were compared with surface pyranometer observations.

  2. Zenith Radiance Retrieval of Cloud Properties

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

    retrievals of cloud properties from the AMF/COPS campaign Preliminary retrievals of cloud properties from the AMF/COPS campaign Christine Chiu, UMBC/JCET Alexander Marshak, GSFC Yuri Knyazikhin, Boston University Warren Wiscombe, GSFC Christine Chiu, UMBC/JCET Alexander Marshak, GSFC Yuri Knyazikhin, Boston University Warren Wiscombe, GSFC The cloud optical properties of interest are: The cloud optical properties of interest are: * Cloud optical depth τ - the great unknown * Radiative cloud

  3. RACORO continental boundary layer cloud investigations. 2. Large-eddy simulations of cumulus clouds and evaluation with in-situ and ground-based observations

    SciTech Connect (OSTI)

    Endo, Satoshi; Fridlind, Ann M.; Lin, Wuyin; Vogelmann, Andrew M.; Toto, Tami; Ackerman, Andrew S.; McFarquhar, Greg M.; Jackson, Robert C.; Jonsson, Haflidi H.; Liu, Yangang

    2015-06-19

    A 60-hour case study of continental boundary layer cumulus clouds is examined using two large-eddy simulation (LES) models. The case is based on observations obtained during the RACORO Campaign (Routine Atmospheric Radiation Measurement [ARM] Aerial Facility [AAF] Clouds with Low Optical Water Depths [CLOWD] Optical Radiative Observations) at the ARM Climate Research Facility's Southern Great Plains site. The LES models are driven by continuous large-scale and surface forcings, and are constrained by multi-modal and temporally varying aerosol number size distribution profiles derived from aircraft observations. We compare simulated cloud macrophysical and microphysical properties with ground-based remote sensing and aircraft observations. The LES simulations capture the observed transitions of the evolving cumulus-topped boundary layers during the three daytime periods, and generally reproduce variations of droplet number concentration with liquid water content (LWC), corresponding to the gradient between the cloud centers and cloud edges at given heights. The observed LWC values fall within the range of simulated values; the observed droplet number concentrations are commonly higher than simulated, but differences remain on par with potential estimation errors in the aircraft measurements. Sensitivity studies examine the influences of bin microphysics versus bulk microphysics, aerosol advection, supersaturation treatment, and aerosol hygroscopicity. Simulated macrophysical cloud properties are found to be insensitive in this non-precipitating case, but microphysical properties are especially sensitive to bulk microphysics supersaturation treatment and aerosol hygroscopicity.

  4. RACORO continental boundary layer cloud investigations. 2. Large-eddy simulations of cumulus clouds and evaluation with in-situ and ground-based observations

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

    Endo, Satoshi; Fridlind, Ann M.; Lin, Wuyin; Vogelmann, Andrew M.; Toto, Tami; Ackerman, Andrew S.; McFarquhar, Greg M.; Jackson, Robert C.; Jonsson, Haflidi H.; Liu, Yangang

    2015-06-19

    A 60-hour case study of continental boundary layer cumulus clouds is examined using two large-eddy simulation (LES) models. The case is based on observations obtained during the RACORO Campaign (Routine Atmospheric Radiation Measurement [ARM] Aerial Facility [AAF] Clouds with Low Optical Water Depths [CLOWD] Optical Radiative Observations) at the ARM Climate Research Facility's Southern Great Plains site. The LES models are driven by continuous large-scale and surface forcings, and are constrained by multi-modal and temporally varying aerosol number size distribution profiles derived from aircraft observations. We compare simulated cloud macrophysical and microphysical properties with ground-based remote sensing and aircraft observations.more » The LES simulations capture the observed transitions of the evolving cumulus-topped boundary layers during the three daytime periods, and generally reproduce variations of droplet number concentration with liquid water content (LWC), corresponding to the gradient between the cloud centers and cloud edges at given heights. The observed LWC values fall within the range of simulated values; the observed droplet number concentrations are commonly higher than simulated, but differences remain on par with potential estimation errors in the aircraft measurements. Sensitivity studies examine the influences of bin microphysics versus bulk microphysics, aerosol advection, supersaturation treatment, and aerosol hygroscopicity. Simulated macrophysical cloud properties are found to be insensitive in this non-precipitating case, but microphysical properties are especially sensitive to bulk microphysics supersaturation treatment and aerosol hygroscopicity.« less

  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.

    2008-03-10

    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. PLAINS CO2 REDUCTION PARTNERSHIP

    SciTech Connect (OSTI)

    Edward N. Steadman; John A. Harju; Erin M. O'Leary; James A. Sorensen; Daniel J. Daly; Melanie D. Jensen; Thea E. Reikoff

    2005-01-01

    The Plains CO{sub 2} Reduction (PCOR) Partnership continues to make great progress. Task 2 (Technology Deployment) focused on developing information regarding deployment issues to support Task 5 (Modeling and Phase II Action Plans) by providing information to be used to assess CO{sub 2} sequestration opportunities in the PCOR Partnership region. Task 3 (Public Outreach) focused on developing an informational video about CO{sub 2} sequestration. Progress in Task 4 (Sources, Sinks, and Infrastructure) included the continued collection of data regarding CO{sub 2} sources and sinks and data on the performance and costs for CO{sub 2} separation, capture, treatment, and compression for pipeline transportation. Task 5 focused on screening and qualitatively assessing sequestration options. Task 5 activities also continue to be useful in structuring data collection and other activities in Tasks 2, 3, and 5.

  7. EIS-0072: Great Plains Gasification Project, Mercer County, North Dakota

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy prepared this EIS to evaluate the impacts of a project to construct a 125 million cubic feet per day coal gasification facility located in Mercer County, North Dakota. The Office of Fossil Energy adopted three environmental impact evaluation documents prepared by other Federal agencies to develop this EIS.

  8. Regional Community Wind Conferences, Great Plains Windustry Project

    SciTech Connect (OSTI)

    Daniels, Lisa [Windustry

    2013-02-28

    Windustry organized and produced five regional Community Wind Across America (CWAA) conferences in 2010 and 2011 and held two CWAA webinars in 2011 and 2012. The five conferences were offered in regions throughout the United States: Denver, Colorado ? October 2010 St. Paul, Minnesota ? November 2010 State College, Pennsylvania ? February 2011 Ludington, Michigan (co-located with the Michigan Energy Fair) June 2011 Albany, New York October 2011

  9. EIS-0408: Upper Great Plains Wind Energy Programmatic EIS | Department...

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

    U.S. Fish and Wildlife Service, as joint lead agencies, prepared a programmatic EIS that evaluates issues and potential environmental impacts associated with wind energy...

  10. RACORO continental boundary layer cloud investigations. 3. Separation of parameterization biases in single-column model CAM5 simulations of shallow cumulus

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

    Lin, Wuyin; Liu, Yangang; Vogelmann, Andrew M.; Fridlind, Ann; Endo, Satoshi; Song, Hua; Feng, Sha; Toto, Tami; Li, Zhijin; Zhang, Minghua

    2015-06-19

    Climatically important low-level clouds are commonly misrepresented in climate models. The FAst-physics System TEstbed and Research (FASTER) project has constructed case studies from the Atmospheric Radiation Measurement (ARM) Climate Research Facility's Southern Great Plain site during the RACORO aircraft campaign to facilitate research on model representation of boundary-layer clouds. This paper focuses on using the single-column Community Atmosphere Model version 5 (SCAM5) simulations of a multi-day continental shallow cumulus case to identify specific parameterization causes of low-cloud biases. Consistent model biases among the simulations driven by a set of alternative forcings suggest that uncertainty in the forcing plays only amore » relatively minor role. In-depth analysis reveals that the model's shallow cumulus convection scheme tends to significantly under-produce clouds during the times when shallow cumuli exist in the observations, while the deep convective and stratiform cloud schemes significantly over-produce low-level clouds throughout the day. The links between model biases and the underlying assumptions of the shallow cumulus scheme are further diagnosed with the aid of large-eddy simulations and aircraft measurements, and by suppressing the triggering of the deep convection scheme. It is found that the weak boundary layer turbulence simulated is directly responsible for the weak cumulus activity and the simulated boundary layer stratiform clouds. Increased vertical and temporal resolutions are shown to lead to stronger boundary layer turbulence and reduction of low-cloud biases.« less

  11. RACORO continental boundary layer cloud investigations. 3. Separation of parameterization biases in single-column model CAM5 simulations of shallow cumulus

    SciTech Connect (OSTI)

    Lin, Wuyin; Liu, Yangang; Vogelmann, Andrew M.; Fridlind, Ann; Endo, Satoshi; Song, Hua; Feng, Sha; Toto, Tami; Li, Zhijin; Zhang, Minghua

    2015-06-19

    Climatically important low-level clouds are commonly misrepresented in climate models. The FAst-physics System TEstbed and Research (FASTER) project has constructed case studies from the Atmospheric Radiation Measurement (ARM) Climate Research Facility's Southern Great Plain site during the RACORO aircraft campaign to facilitate research on model representation of boundary-layer clouds. This paper focuses on using the single-column Community Atmosphere Model version 5 (SCAM5) simulations of a multi-day continental shallow cumulus case to identify specific parameterization causes of low-cloud biases. Consistent model biases among the simulations driven by a set of alternative forcings suggest that uncertainty in the forcing plays only a relatively minor role. In-depth analysis reveals that the model's shallow cumulus convection scheme tends to significantly under-produce clouds during the times when shallow cumuli exist in the observations, while the deep convective and stratiform cloud schemes significantly over-produce low-level clouds throughout the day. The links between model biases and the underlying assumptions of the shallow cumulus scheme are further diagnosed with the aid of large-eddy simulations and aircraft measurements, and by suppressing the triggering of the deep convection scheme. It is found that the weak boundary layer turbulence simulated is directly responsible for the weak cumulus activity and the simulated boundary layer stratiform clouds. Increased vertical and temporal resolutions are shown to lead to stronger boundary layer turbulence and reduction of low-cloud biases.

  12. ARM - Midlatitude Continental Convective Clouds - Single Column Model Forcing (xie-scm_forcing)

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

    Xie, Shaocheng; McCoy, Renata; Zhang, Yunyan

    2012-10-25

    The constrained variational objective analysis approach described in Zhang and Lin [1997] and Zhang et al. [2001]was used to derive the large-scale single-column/cloud resolving model forcing and evaluation data set from the observational data collected during Midlatitude Continental Convective Clouds Experiment (MC3E), which was conducted during April to June 2011 near the ARM Southern Great Plains (SGP) site. The analysis data cover the period from 00Z 22 April - 21Z 6 June 2011. The forcing data represent an average over the 3 different analysis domains centered at central facility with a diameter of 300 km (standard SGP forcing domain size), 150 km and 75 km, as shown in Figure 1. This is to support modeling studies on various-scale convective systems.

  13. Cloud properties derived from two lidars over the ARM SGP site

    SciTech Connect (OSTI)

    Dupont, Jean-Charles; Haeffelin, Martial; Morille, Y.; Comstock, Jennifer M.; Flynn, Connor J.; Long, Charles N.; Sivaraman, Chitra; Newsom, Rob K.

    2011-02-16

    [1] Active remote sensors such as lidars or radars can be used with other data to quantify the cloud properties at regional scale and at global scale (Dupont et al., 2009). Relative to radar, lidar remote sensing is sensitive to very thin and high clouds but has a significant limitation due to signal attenuation in the ability to precisely quantify the properties of clouds with a 20 cloud optical thickness larger than 3. In this study, 10-years of backscatter lidar signal data are analysed by a unique algorithm called STRucture of ATmosphere (STRAT, Morille et al., 2007). We apply the STRAT algorithm to data from both the collocated Micropulse lidar (MPL) and a Raman lidar (RL) at the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site between 1998 and 2009. Raw backscatter lidar signal is processed and 25 corrections for detector deadtime, afterpulse, and overlap are applied. (Campbell et al.) The cloud properties for all levels of clouds are derived and distributions of cloud base height (CBH), top height (CTH), physical cloud thickness (CT), and optical thickness (COT) from local statistics are compared. The goal of this study is (1) to establish a climatology of macrophysical and optical properties for all levels of clouds observed over the ARM SGP site 30 and (2) to estimate the discrepancies induced by the two remote sensing systems (pulse energy, sampling, resolution, etc.). Our first results tend to show that the MPLs, which are the primary ARM lidars, have a distinctly limited range where all of these cloud properties are detectable, especially cloud top and cloud thickness, but even actual cloud base especially during summer daytime period. According to the comparisons between RL and MPL, almost 50% of situations show a signal to noise ratio too low (smaller than 3) for the MPL in order to detect clouds higher than 7km during daytime period in summer. Consequently, the MPLderived annual cycle of cirrus cloud base (top) altitude is biased low, especially for daylight periods, compared with those derived from the RL data, which detects 5 cloud base ranging from 7.5 km in winter to 9.5 km in summer (and tops ranging from 8.6 to 10.5 km). The optically thickest cirrus clouds (COT>0.3) reach 50% of the total population for the Raman lidar and only 20% for the Micropulse lidar due to the difference of pulse energy and the effect of solar irradiance contamination. A complementary study using the cloud fraction 10 derived from the Micropulse lidar for clouds below 5 km and from the Raman lidar for cloud above 5 km allows for better estimation of the total cloud fraction between the ground and the top of the atmosphere. This study presents the diurnal cycle of cloud fraction for each season in comparisons with the Long et al. (2006) cloud fraction calculation derived from radiative flux analysis.

  14. PLAINS CO2 REDUCTION PARTNERSHIP

    SciTech Connect (OSTI)

    Edward N. Steadman; John A. Harju; Erin M. O'Leary; James A. Sorensen; Daniel J. Daly; Melanie D. Jensen; Thea E. Reikoff

    2005-04-01

    The Plains CO{sub 2} Reduction (PCOR) Partnership continues to make great progress. Task 2 (Technology Deployment) focused on developing information regarding deployment issues to support Task 5 (Modeling and Phase II Action Plans) and provided information to be used to assess CO{sub 2} sequestration opportunities in the PCOR Partnership region. Task 2 efforts also included preparation of a draft topical report entitled ''Deployment Issues Related to Geologic CO{sub 2} Sequestration in the PCOR Partnership Region'', which is nearing completion. Task 3 (Public Outreach) focused on developing an informational video about CO{sub 2} sequestration. The video will be completed and aired on Prairie Public Television in the next quarter. Progress in Task 4 (Sources, Sinks, and Infrastructure) included the continued collection of data regarding CO{sub 2} sources and sinks and data on the performance and costs for CO{sub 2} separation, capture, treatment, and compression for pipeline transportation. The addition of the Canadian province of Alberta to the PCOR Partnership region expanded the decision support system (DSS) geographic information system database. Task 5 screened and qualitatively assessed sequestration options. Task 5 activities also continue to be useful in structuring data collection and other activities in Tasks 2, 3, and 5.

  15. Plain Language Training Classes | Department of Energy

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

    Plain Language Training Classes Plain Language Training Classes February 18, 2016 7:30AM to 10:30AM MST Plain Language Training Classes When you write, do you write what you want ...

  16. ARM - Measurement - Cloud size

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

    measurements as cloud thickness, cloud area, and cloud aspect ratio. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  17. Cloud Properties Working Group Low Clouds Update

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

    Cloud Properties Working Group Low Clouds Update Low Clouds Update Jennifer Comstock Jennifer Comstock Dave Turner Dave Turner Andy Andy Vogelmann Vogelmann Instruments Instruments ...

  18. Precipitating clouds

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

    processes, especially related ice. * Very large differences between observed IN number concentration and ice concentration in a given clouds. * Many ice nucleation modes are...

  19. Plain Language Compliance Report (2015)

    Broader source: Energy.gov [DOE]

    The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and informative.

  20. Plain Language Compliance Report (2012)

    Broader source: Energy.gov [DOE]

    The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and...

  1. Plain Language Compliance Report (2014)

    Broader source: Energy.gov [DOE]

    The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and informative.

  2. PLAIN LANGUAGE COMPLIANCE REPORT (2013)

    Broader source: Energy.gov [DOE]

    The Department of Energy sees the implementation of the Plain Writing Act as an important initiative that helps the Department share relevant information in a way that is clear, concise, and informative.

  3. An ensemble constrained variational analysis of atmospheric forcing data and its application to evaluate clouds in CAM5: Ensemble 3DCVA and Its Application

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

    Tang, Shuaiqi; Zhang, Minghua; Xie, Shaocheng

    2016-01-05

    Large-scale atmospheric forcing data can greatly impact the simulations of atmospheric process models including Large Eddy Simulations (LES), Cloud Resolving Models (CRMs) and Single-Column Models (SCMs), and impact the development of physical parameterizations in global climate models. This study describes the development of an ensemble variationally constrained objective analysis of atmospheric large-scale forcing data and its application to evaluate the cloud biases in the Community Atmospheric Model (CAM5). Sensitivities of the variational objective analysis to background data, error covariance matrix and constraint variables are described and used to quantify the uncertainties in the large-scale forcing data. Application of the ensemblemore » forcing in the CAM5 SCM during March 2000 intensive operational period (IOP) at the Southern Great Plains (SGP) of the Atmospheric Radiation Measurement (ARM) program shows systematic biases in the model simulations that cannot be explained by the uncertainty of large-scale forcing data, which points to the deficiencies of physical parameterizations. The SCM is shown to overestimate high clouds and underestimate low clouds. These biases are found to also exist in the global simulation of CAM5 when it is compared with satellite data.« less

  4. THE SNAKE RIVER PLAIN AQUIFER THE SNAKE RIVER PLAIN AQUIFER

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

    aquifer THE INL & THE SNAKE RIVER PLAIN AQUIFER THE SNAKE RIVER PLAIN AQUIFER underneath the Idaho National Laboratory is one of the most productive groundwater resources in the U.S. Each year about 2 million acre-feet of water is drawn from the aquifer. Approximately 95 percent of the water withdrawn from the aquifer is used for irrigation, 3 per- cent for domestic water, and 2 percent for industrial purposes. The aquifer is the primary water source for more than 280,000 people in

  5. Plains and Eastern Clean Line Transmission Line: Comment from...

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

    Plains and Eastern Clean Line Transmission Line: Comment from Mr. Dyer Plains and Eastern Clean Line Transmission Line: Comment from Sheila Beck Plains and Eastern Clean Line ...

  6. Plains and Eastern Clean Line Transmission Line: Comment from...

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

    Plains and Eastern Clean Line Transmission Line: Comment from Change.org Plains and Eastern Clean Line Transmission Line: Comment from Mr. Leftwich Plains and Eastern Clean Line ...

  7. Plains and Eastern Clean Line Transmission Line: Comment from...

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

    Plains and Eastern Clean Line Transmission Line: Comment from Fallon Sanford Plains and Eastern Clean Line Transmission Line: Comment from Mr. Leftwich Plains and Eastern Clean ...

  8. Snake River Plain Geothermal Region | Open Energy Information

    Open Energy Info (EERE)

    Survey At Snake River Plain Region (DOE GTP) Micro-Earthquake At Snake River Plain Geothermal Region (1976) Reflection Survey At Snake River Plain Region (DOE GTP)...

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

    SciTech Connect (OSTI)

    Turner, David, D.; Ferrare, Richard, A.

    2011-07-06

    The 'Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds' project focused extensively on the analysis and utilization of water vapor and aerosol profiles derived from the ARM Raman lidar at the Southern Great Plains ARM site. A wide range of different tasks were performed during this project, all of which improved quality of the data products derived from the lidar or advanced the understanding of atmospheric processes over the site. These activities included: upgrading the Raman lidar to improve its sensitivity; participating in field experiments to validate the lidar aerosol and water vapor retrievals; using the lidar aerosol profiles to evaluate the accuracy of the vertical distribution of aerosols in global aerosol model simulations; examining the correlation between relative humidity and aerosol extinction, and how these change, due to horizontal distance away from cumulus clouds; inferring boundary layer turbulence structure in convective boundary layers from the high-time-resolution lidar water vapor measurements; retrieving cumulus entrainment rates in boundary layer cumulus clouds; and participating in a field experiment that provided data to help validate both the entrainment rate retrievals and the turbulent profiles derived from lidar observations.

  10. High Plains Tech Center | Open Energy Information

    Open Energy Info (EERE)

    Owner High Plains Tech Center Energy Purchaser High Plains Tech Center Location Woodward OK Coordinates 36.40645133, -99.4282195 Show Map Loading map... "minzoom":false,"mappi...

  11. Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great

    Office of Scientific and Technical Information (OSTI)

    Plains Site (Journal Article) | SciTech Connect Journal Article: Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains Site Citation Details In-Document Search Title: Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains Site In the fall of 2013, the Vaisala RS41-SG (4th generation) radiosonde was introduced as a replacement for the RS92-SGP radiosonde with improvements in measurement accuracy of profiles of atmospheric temperature,

  12. ARM - Measurement - Cloud type

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

    Measurement : Cloud type Cloud type such as cirrus, stratus, cumulus etc Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  13. Unlocking the Secrets of Clouds

    Broader source: Energy.gov [DOE]

    Clouds may look soft, fluffy and harmless to the untrained eye, but to an expert climate model scientist they represent great challenges. Fortunately the Atmospheric Radiation Measurement (ARM) Climate and Research Facility is kicking off a five-month study which should significantly clear the air.

  14. Plains and Eastern Clean Line Transmission Line: Comment from Block Plains

    Energy Savers [EERE]

    and Eastern Clean Line: Arkansas and Oklahoma | Department of Energy from Block Plains and Eastern Clean Line: Arkansas and Oklahoma Plains and Eastern Clean Line Transmission Line: Comment from Block Plains and Eastern Clean Line: Arkansas and Oklahoma Comment submitted on updated Part 2 application. PDF icon Comment from Block Plains & Eastern Clean Line Arkansas and Oklahoma 06-08-15.pdf More Documents & Publications Plains and Eastern Clean Line Transmission Line: Comment from

  15. Final report (Grant No. DOE DE-FG02-97ER62366) [Retrieval of cloud fraction and type using broadband diffuse and total shortwave irradiance measurements

    SciTech Connect (OSTI)

    Clothiaux, Eugene

    2001-05-17

    The primary research effort supported by Grant No. DOE DEFG02-97ER62366 titled ''Retrieval of Cloud Fraction and Type Using Broadband Diffuse and Total Shortwave Irradiance Measurements'' was application of clear-sky identification and cloud fraction estimation algorithms developed by Charles N. Long and Thomas P. Ackerman to the downwelling total, direct and diffuse shortwave irradiance measurements made at all of the central, boundary, and extended facilities of the DOE Atmospheric Radiation Measurement (ARM) Program Southern Great Plains (SOP) site. Goals of the research were finalization and publication of the two algorithms in the peer-reviewed literature and operational application of them to all of aforementioned data streams from the ARM SGP site. The clear-sky identification algorithm was published as Long and Ackerman (2000) in the Journal of Geophysical Research, while a description of the cloud fraction estimation algorithm made it to the scientific literature as Long et al. (1999) in the Proceedings of the 10th American Meteorological Association Conference on Atmospheric Radiation held in Madison, Wisconsin. The cloud fraction estimation algorithm relies on empirical relationships between the outputs of the clear-sky identification algorithm and cloud fraction; as such, the cloud fraction estimation algorithm requires significant amounts of data both to properly develop the empirical relationships and to thoroughly test them. With this perspective in mind the major focus of our research efforts in the later half of the project became the operational implementation of the clear-sky identification algorithm on DOE ARM SGP data so that we could develop the data set necessary for final tuning of the cloud fraction estimation algorithm in research extending beyond the lifetime of the project.

  16. Dispelling Clouds of Uncertainty

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

    Lewis, Ernie; Teixeira, João

    2015-06-15

    How do you build a climate model that accounts for cloud physics and the transitions between cloud regimes? Use MAGIC.

  17. Statistical characteristics of cloud variability. Part 2: Implication for parameterizations of microphysical and radiative transfer processes in climate models

    SciTech Connect (OSTI)

    Huang, Dong; Liu, Yangang

    2014-09-27

    The effects of subgrid cloud variability on grid-average microphysical rates and radiative fluxes are examined by use of long-term retrieval products at the Tropical West Pacific, Southern Great Plains, and North Slope of Alaska sites of the Department of Energy's Atmospheric Radiation Measurement program. Four commonly used distribution functions, the truncated Gaussian, Gamma, lognormal, and Weibull distributions, are constrained to have the same mean and standard deviation as observed cloud liquid water content. The probability density functions are then used to upscale relevant physical processes to obtain grid-average process rates. It is found that the truncated Gaussian representation results in up to 30% mean bias in autoconversion rate, whereas the mean bias for the lognormal representation is about 10%. The Gamma and Weibull distribution function performs the best for the grid-average autoconversion rate with the mean relative bias less than 5%. For radiative fluxes, the lognormal and truncated Gaussian representations perform better than the Gamma and Weibull representations. The results show that the optimal choice of subgrid cloud distribution function depends on the nonlinearity of the process of interest, and thus, there is no single distribution function that works best for all parameterizations. Examination of the scale (window size) dependence of the mean bias indicates that the bias in grid-average process rates monotonically increases with increasing window sizes, suggesting the increasing importance of subgrid variability with increasing grid sizes.

  18. Statistical characteristics of cloud variability. Part 2: Implication for parameterizations of microphysical and radiative transfer processes in climate models

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

    Huang, Dong; Liu, Yangang

    2014-09-27

    The effects of subgrid cloud variability on grid-average microphysical rates and radiative fluxes are examined by use of long-term retrieval products at the Tropical West Pacific, Southern Great Plains, and North Slope of Alaska sites of the Department of Energy's Atmospheric Radiation Measurement program. Four commonly used distribution functions, the truncated Gaussian, Gamma, lognormal, and Weibull distributions, are constrained to have the same mean and standard deviation as observed cloud liquid water content. The probability density functions are then used to upscale relevant physical processes to obtain grid-average process rates. It is found that the truncated Gaussian representation results inmoreup to 30% mean bias in autoconversion rate, whereas the mean bias for the lognormal representation is about 10%. The Gamma and Weibull distribution function performs the best for the grid-average autoconversion rate with the mean relative bias less than 5%. For radiative fluxes, the lognormal and truncated Gaussian representations perform better than the Gamma and Weibull representations. The results show that the optimal choice of subgrid cloud distribution function depends on the nonlinearity of the process of interest, and thus, there is no single distribution function that works best for all parameterizations. Examination of the scale (window size) dependence of the mean bias indicates that the bias in grid-average process rates monotonically increases with increasing window sizes, suggesting the increasing importance of subgrid variability with increasing grid sizes.less

  19. High Plains Bioenergy | Open Energy Information

    Open Energy Info (EERE)

    owned subsidiary of Seaboard Foods, is a renewable energy company focused on producing alternative fuels from the Seaboard Foods integrated system. References: High Plains...

  20. Western Plains Energy LLC | Open Energy Information

    Open Energy Info (EERE)

    search Name: Western Plains Energy LLC Place: Oakley, Kansas Zip: 67748 Product: Bioethanol producer using corn as feedstock Coordinates: 40.714855, -111.298899 Show Map...

  1. The Great Marble Drop

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

    Great Marble Drop Learning objective: for students to analyze a problem, and test and refine solutions. This will demonstrate a key skill needed in engineering and scientific...

  2. ARM - Feature Stories and Releases Article

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

    Cloud radars measure an incoming storm at the ARM Southern Great Plains site in Oklahoma. Cloud radars measure an incoming storm at the ARM Southern Great Plains site in Oklahoma. ...

  3. White Plains, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in White Plains, New York 3 Registered Financial Organizations in White Plains, New York 4 References US Recovery Act Smart Grid Projects in White Plains, New York Power Authority...

  4. Bringing Clouds into Focus

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

    clouds. Instead, global climate models must rely on parameterizations, which are statistical representations of phenomena, such as cloud cover or precipitation rates, that...

  5. ARM - Measurement - Cloud location

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

    point in space and time, typically expressed as a binary cloud mask. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  6. Dispelling Clouds of Uncertainty

    SciTech Connect (OSTI)

    Lewis, Ernie; Teixeira, João

    2015-06-15

    How do you build a climate model that accounts for cloud physics and the transitions between cloud regimes? Use MAGIC.

  7. ARM - Field Campaign - ARM Support for the Plains Elevated Convection...

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

    govCampaignsARM Support for the Plains Elevated Convection at Night Experiment: Doppler Lidar Operations Related Campaigns ARM Support for the Plains Elevated Convection at Night...

  8. Plains and Eastern Clean Line Transmission Line: Comment from...

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

    Comment from Downwind, LLC Plains and Eastern Clean Line Transmission Line: Comment from Sheila Beck Plains and Eastern Clean Line Transmission Line: Comment from Crystal Yarbrough

  9. Plains and Eastern Clean Line Transmission Line: Comment from...

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

    Clean Line: Arkansas and Oklahoma Plains and Eastern Clean Line Transmission Line: Comment from Block Plains and Eastern Clean Line: Arkansas and Oklahoma Comment submitted on ...

  10. Refraction Survey At Snake River Plain Region (DOE GTP) | Open...

    Open Energy Info (EERE)

    Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Refraction Survey At Snake River Plain Region (DOE GTP)...

  11. High Plains Ranch Solar Power Plant | Open Energy Information

    Open Energy Info (EERE)

    Ranch Solar Power Plant Facility High Plains Ranch Sector Solar Facility Type Photovoltaic Developer Sun Power Location Carizzo Plain, California Coordinates 35.1913858,...

  12. Advance Funding and Development Agreement: Plains & Eastern Clean...

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

    Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean ...

  13. City of West Plains, Missouri (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Plains, Missouri (Utility Company) Jump to: navigation, search Name: City of West Plains Place: Missouri Phone Number: 417-256-7176 Website: westplains.nethallelectricde Twitter:...

  14. The Great Marble Drop

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

    Volunteers - Sign Up About Science Bowl Curriculum and Activities How to Build a Motor The Great Marble Drop How to Build a Turbine How to Build a Tower Classroom...

  15. Additional development of remote sensing techniques for observing morphology, microphysics, and radiative properties of clouds and tests using a new, robust CO{sub 2} lidar. Final report

    SciTech Connect (OSTI)

    Eberhard, W.L.; Brewer, W.A.; Intrieri, J.M.

    1998-09-28

    A three-year project with a goal of advancing CO{sub 2} lidar technology and measurement techniques for cloud studies was successfully completed. An eyesafe, infrared lidar with good sensitivity and improved Doppler accuracy was designed, constructed, and demonstrated. Dual-wavelength operation was achieved. A major leap forward in robustness was demonstrated. CO{sub 2} lidars were operated as part of two Intensive Operations Periods at the Southern Great Plains CART site. The first used an older lidar and was intended primarily for measurement technique development. The second used the new lidar and was primarily a demonstration and evaluation of its performance. Progress was demonstrated in the development, evaluation, and application of measurement techniques using CO{sub 2} lidar.

  16. First observations of tracking clouds using scanning ARM cloud...

    Office of Scientific and Technical Information (OSTI)

    Tracking clouds using scanning cloud radars can help to document the temporal evolution of ... Following CITA, the temporal evolution of cloud element properties (number, size, and ...

  17. ARM - Campaign Instrument - wsicloud

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

    (WSICLOUD) Instrument Categories Cloud Properties Campaigns Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1995.04.01 - 1995.05.31 The...

  18. ARM - Campaign Instrument - mmcr94psu

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

    MMCR (MMCR94PSU) Instrument Categories Cloud Properties Campaigns Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1994.04.01 - 1994.05.31...

  19. Precipitation and Air Pollution at Mountain and Plain Stations in Northern China: Insights Gained from Observations and Modeling

    SciTech Connect (OSTI)

    Guo, Jianping; Deng, Minjun; Fan, Jiwen; Li, Zhanqing; Chen, Qian; Zhai, Panmao; Dai, Zhijian; Li, Xiaowen

    2014-04-27

    We analyzed 40 year data sets of daily average visibility (a proxy for surface aerosol concentration) and hourly precipitation at seven weather stations, including three stations located on the Taihang Mountains, during the summertime in northern China. There was no significant trend in summertime total precipitation at almost all stations. However, light rain decreased, whereas heavy rain increased as visibility decreased over the period studied. The decrease in light rain was seen in both orographic-forced shallow clouds and mesoscale stratiform clouds. The consistent trends in observed changes in visibility, precipitation, and orographic factor appear to be a testimony to the effects of aerosols. The potential impact of large-scale environmental factors, such as precipitable water, convective available potential energy, and vertical wind shear, on precipitation was investigated. No direct links were found. To validate our observational hypothesis about aerosol effects, Weather Research and Forecasting model simulations with spectral-bin microphysics at the cloud-resolving scale were conducted. Model results confirmed the role of aerosol indirect effects in reducing the light rain amount and frequency in the mountainous area for both orographic-forced shallow clouds and mesoscale stratiform clouds and in eliciting a different response in the neighboring plains. The opposite response of light rain to the increase in pollution when there is no terrain included in the model suggests that orography is likely a significant factor contributing to the opposite trends in light rain seen in mountainous and plain areas.

  20. First observations of tracking clouds using scanning ARM cloud radars

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Journal Article: First observations of tracking clouds using scanning ARM cloud radars Citation Details In-Document Search Title: First observations of tracking clouds using scanning ARM cloud radars Tracking clouds using scanning cloud radars can help to document the temporal evolution of cloud properties well before large drop formation (''first echo''). These measurements complement cloud and precipitation tracking using geostationary satellites and

  1. FACT SHEET U.S. Department of Energy Southern Great Plains

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

    50 instruments over 25 locations covering over 35,000 square miles (90,000 square kilometers) and can be viewed as a real "laboratory without walls." The heart of the SGP is the...

  2. AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont...

    Office of Scientific and Technical Information (OSTI)

    Site Description - The ARM SGP Burn site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots, ...

  3. ANG coal gasification project management control system report. [Great Plains project

    SciTech Connect (OSTI)

    Not Available

    1981-01-01

    Much time, money and effort has been spent in the forefront of this project for project controls. The work breakdown structure for the systems has been custom designed. The systems, both manual and computerized, have been well scrutinized and chosen by ANG to represent the most cost effective and efficient way of controlling a project the magnitude of $1.5 billion. These systems have been developed in a manner so that information can be gathered as detailed or as summarized as necessary, and in the most timely and expeditious ways.

  4. ARM - Measurement - Cloud extinction

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

    Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud extinction The removal of radiant energy from an incident beam by the process of cloud absorption andor ...

  5. Improvement in Clouds and the Earth's Radiant Energy System/Surface and Atmosphere Radiation Budget Dust Aerosol Properties, Effects on Surface Validation of Clouds and Radiative Swath

    SciTech Connect (OSTI)

    Rutan, D.; Rose, F.; Charlock, T.P.

    2005-03-18

    Within the Clouds and the Earth's Radiant Energy System (CERES) science team (Wielicki et al. 1996), the Surface and Atmospheric Radiation Budget (SARB) group is tasked with calculating vertical profiles of heating rates, globally, and continuously, beneath CERES footprint observations of Top of Atmosphere (TOA) fluxes. This is accomplished using a fast radiative transfer code originally developed by Qiang Fu and Kuo-Nan Liou (Fu and Liou 1993) and subsequently highly modified by the SARB team. Details on the code and its inputs can be found in Kato et al. (2005) and Rose and Charlock (2002). Among the many required inputs is characterization of the vertical column profile of aerosols beneath each footprint. To do this SARB combines aerosol optical depth information from the moderate-resolution imaging spectroradiometer (MODIS) instrument along with aerosol constituents specified by the Model for Atmosphere and Chemical Transport (MATCH) of Collins et al. (2001), and aerosol properties (e.g. single scatter albedo and asymmetry parameter) from Tegen and Lacis (1996) and OPAC (Hess et al. 1998). The publicly available files that include these flux profiles, called the Clouds and Radiative Swath (CRS) data product, available from the Langley Atmospheric Sciences Data Center (http://eosweb.larc.nasa.gov/). As various versions of the code are completed, publishable results are named ''Editions.'' After CRS Edition 2A was finalized it was found that dust aerosols were too absorptive. Dust aerosols have subsequently been modified using a new set of properties developed by Andy Lacis and results have been released in CRS Edition 2B. This paper discusses the effects of changing desert dust aerosol properties, which can be significant for the radiation budget in mid ocean, a few thousand kilometers from the source regions. Resulting changes are validated via comparison of surface observed fluxes from the Saudi Solar Village surface site (Myers et al. 1999), and the E13 site at the Atmospheric Radiation Measurement (ARM), Southern Great Plains (SGP) central facility.

  6. Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL)

    Office of Scientific and Technical Information (OSTI)

    Final Campaign Report (Technical Report) | SciTech Connect Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) Final Campaign Report Citation Details In-Document Search Title: Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) Final Campaign Report The extensive coverage of low clouds over the subtropical eastern oceans greatly impacts the current climate. In addition, the response of low clouds to changes in atmospheric greenhouse gases and

  7. The Status of the ACRF Millimeter Wave Cloud Radars (MMCRs), the Path Forward for Future MMCR Upgrades, the Concept of 3D Volume Imaging Radar and the UAV Radar

    SciTech Connect (OSTI)

    P Kollias; MA Miller; KB Widener; RT Marchand; TP Ackerman

    2005-12-30

    The United States (U.S.) Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) operates millimeter wavelength cloud radars (MMCRs) in several climatological regimes. The MMCRs, are the primary observing tool for quantifying the properties of nearly all radiatively important clouds over the ACRF sites. The first MMCR was installed at the ACRF Southern Great Plains (SGP) site nine years ago and its original design can be traced to the early 90s. Since then, several MMCRs have been deployed at the ACRF sites, while no significant hardware upgrades have been performed. Recently, a two-stage upgrade (first C-40 Digital Signal Processors [DSP]-based, and later the PC-Integrated Radar AcQuisition System [PIRAQ-III] digital receiver) of the MMCR signal-processing units was completed. Our future MMCR related goals are: 1) to have a cloud radar system that continues to have high reliability and uptime and 2) to suggest potential improvements that will address increased sensitivity needs, superior sampling and low cost maintenance of the MMCRs. The Traveling Wave Tube (TWT) technology, the frequency (35-GHz), the radio frequency (RF) layout, antenna, the calibration and radar control procedure and the environmental enclosure of the MMCR remain assets for our ability to detect the profile of hydrometeors at all heights in the troposphere at the ACRF sites.

  8. Advance Funding and Development Agreement: Plains & Eastern Clean Line

    Energy Savers [EERE]

    Transmission Project (September 20, 2012) | Department of Energy Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) PDF icon Advance Funding and Development Agreement: Plains & Eastern Clean Line Transmission Project (September 20, 2012) More Documents & Publications Plains and Eastern Clean Line

  9. Microearthquake surveys of Snake River plain and Northwest Basin...

    Open Energy Info (EERE)

    microearthquakes; Nevada; North America; passive systems; Pershing County Nevada; Raft River; reservoir rocks; seismic methods; seismicity; seismology; Snake River plain;...

  10. Plains and Eastern Clean Line Transmission Line: Comment from Chantel |

    Energy Savers [EERE]

    Department of Energy from Chantel Plains and Eastern Clean Line Transmission Line: Comment from Chantel Comment submitted on updated Part 2 application. PDF icon Comment from Chantel 06-09-15.pdf More Documents & Publications Plains and Eastern Clean Line Transmission Line: Comment from Mr. Garrett Plains and Eastern Clean Line Transmission Line: Comment from Ms. Rutherford Plains and Eastern Clean Line Transmission Line: Comment from Ms. Campbell

  11. Plains and Eastern Clean Line Transmission Line: Comment from Marshall

    Energy Savers [EERE]

    Hughes | Department of Energy from Marshall Hughes Plains and Eastern Clean Line Transmission Line: Comment from Marshall Hughes Comment submitted on updated Part 2 application. PDF icon Comment from Marshall Hughes 07-10-15.pdf More Documents & Publications Plains and Eastern Clean Line Transmission Line: Comment from Mr. Dyer Plains and Eastern Clean Line Transmission Line: Comment from Sheila Beck Plains and Eastern Clean Line Transmission Line: Comment from Patti McCutchen

  12. ARM - Measurement - Cloud phase

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

    that involves property descriptors such as stratus, cumulus, and cirrus. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  13. Finance Idol Word Cloud

    Broader source: Energy.gov [DOE]

    This word cloud represents the topics discussed during the Big and Small Ideas: How to Lower Solar Financing Costs breakout session at the SunShot Grand Challenge.

  14. Boundary Layer Cloud Turbulence Characteristics

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

    Boundary Layer Cloud Turbulence Characteristics Virendra Ghate Bruce Albrecht Parameter Observational Readiness (/10) Modeling Need (/10) Cloud Boundaries 9 9 Cloud Fraction Variance Skewness Up/Downdraft coverage Dominant Freq. signal Dissipation rate ??? Observation-Modeling Interface

  15. ARM - Measurement - Cloud droplet size

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

    droplet size Linear size (e.g. radius or diameter) of a cloud particle Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  16. ARM - Measurement - Cloud effective radius

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

    the number size distribution of cloud particles, whether liquid or ice. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the...

  17. TC_CLOUD_REGIME.cdr

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

    intensity (e.g. May and Ballinger, 2007) Resulting Cloud Properties Examine rain DSD using polarimetric radar Examine ice cloud properties using MMCR and MPL Expect...

  18. Cloud computing security.

    SciTech Connect (OSTI)

    Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.

    2010-10-01

    Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for both academia and government, including configuration options, hardware issues, challenges, and solutions.

  19. Clean Line Plains and Eastern Section 1222 Decision Documents | Department

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

    of Energy Clean Line Plains and Eastern Section 1222 Decision Documents Clean Line Plains and Eastern Section 1222 Decision Documents On March 25, 2016, U.S. Secretary of Energy Dr. Ernest Moniz announced that the Department of Energy (DOE) will participate in the development of the Plains & Eastern Clean Line project (Project), a major clean energy infrastructure project. Through section 1222 of the Energy Policy Act of 2005, Congress authorized DOE to promote electric transmission

  20. PLAINS & EASTERN CLEAN LINE TRANSMISSION LINE | Department of Energy

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

    Section 1222 of the Energy Policy Act 2005 » PLAINS & EASTERN CLEAN LINE TRANSMISSION LINE PLAINS & EASTERN CLEAN LINE TRANSMISSION LINE On March 25, 2016, U.S. Secretary of Energy Dr. Ernest Moniz announced that the Department of Energy (DOE) will participate in the development of the Plains & Eastern Clean Line project (Project), a major clean energy infrastructure project. Through section 1222 of the Energy Policy Act of 2005, Congress authorized DOE to promote electric

  1. Plains Elevated Convection at Night (PECAN) Experiment Science Plan

    Office of Scientific and Technical Information (OSTI)

    (Program Document) | SciTech Connect Plains Elevated Convection at Night (PECAN) Experiment Science Plan Citation Details In-Document Search Title: Plains Elevated Convection at Night (PECAN) Experiment Science Plan The Plains Elevated Convection at Night (PECAN) experiment is a large field campaign that is being supported by the National Science Foundation (NSF) with contributions from the National Oceanic and Atmospheric Administration (NOAA), the National Atmospheric and Space

  2. New Hydropower, Hidden in Plain Sight | Department of Energy

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

    Hydropower, Hidden in Plain Sight New Hydropower, Hidden in Plain Sight December 16, 2015 - 10:04am Addthis New Hydropower, Hidden in Plain Sight Timothy J. Welch Hydropower Program Manager, Wind and Water Power Technologies Office What You Need to Know About Section 242 Funding The Energy Department began accepting applications today from hydropower owners and operators that produced hydroelectric power in 2014 from new equipment added to an existing dam or conduit since 2005. Applications for

  3. DRAMATIC CHANGE IN JUPITER'S GREAT RED SPOT FROM SPACECRAFT OBSERVATIONS

    SciTech Connect (OSTI)

    Simon, Amy A.; Wong, Michael H.; De Pater, Imke; Rogers, John H.; Orton, Glenn S.; Carlson, Robert W.; Asay-Davis, Xylar; Marcus, Philip S.

    2014-12-20

    Jupiter's Great Red Spot (GRS) is one of its most distinct and enduring features. Since the advent of modern telescopes, keen observers have noted its appearance and documented a change in shape from very oblong to oval, confirmed in measurements from spacecraft data. It currently spans the smallest latitude and longitude size ever recorded. Here we show that this change has been accompanied by an increase in cloud/haze reflectance as sensed in methane gas absorption bands, increased absorption at wavelengths shorter than 500nm, and increased spectral slope between 500 and 630nm. These changes occurred between 2012 and 2014, without a significant change in internal tangential wind speeds; the decreased size results in a 3.2day horizontal cloud circulation period, shorter than previously observed. As the GRS has narrowed in latitude, it interacts less with the jets flanking its north and south edges, perhaps allowing for less cloud mixing and longer UV irradiation of cloud and aerosol particles. Given its long life and observational record, we expect that future modeling of the GRS's changes, in concert with laboratory flow experiments, will drive our understanding of vortex evolution and stability in a confined flow field crucial for comparison with other planetary atmospheres.

  4. Evalution of long-term surface-retrieved cloud-droplet number concentration

    Office of Scientific and Technical Information (OSTI)

    with in situ aircraft observations (Journal Article) | SciTech Connect Evalution of long-term surface-retrieved cloud-droplet number concentration with in situ aircraft observations Citation Details In-Document Search Title: Evalution of long-term surface-retrieved cloud-droplet number concentration with in situ aircraft observations A new cloud-droplet number concentration (NDROP) value added product (VAP) has been produced at the Atmospheric Radiation Measurement (ARM) Southern Great

  5. ARM - Field Campaign - ARM Support for the Plains Elevated Convection...

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

    Convection at Night Experiment: Doppler Lidar Operations 2015.06.01, Turner, SGP Comments? ... Lead Scientist : David Turner For data sets, see below. Abstract The Plains Elevated ...

  6. Ground Gravity Survey At Snake River Plain Region (DOE GTP) ...

    Open Energy Info (EERE)

    Ground Gravity Survey At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Snake River...

  7. Des Plaines, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    10th congressional district.12 Registered Energy Companies in Des Plaines, Illinois Gas Technology Institute (Partnership for Advanced Residential Retrofit) NARI National...

  8. Micro-Earthquake At Snake River Plain Geothermal Region (1976...

    Open Energy Info (EERE)

    Micro-Earthquake At Snake River Plain Geothermal Region (1976) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Micro-Earthquake At Snake River...

  9. Potential Oil Production from the Coastal Plain of the Arctic...

    U.S. Energy Information Administration (EIA) Indexed Site

    It focuses on the ANWR coastal plain, a region currently restricted from exploration and development, and updates EIAs 1987 ANWR assessment. Recognizing the value of this study, ...

  10. Plains and Eastern Clean Line Transmission Line: Comment from...

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

    from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Comment submitted on updated Part 2 application. PDF icon Comment from Dr. Contreras ...

  11. Compound and Elemental Analysis At Snake River Plain Region ...

    Open Energy Info (EERE)

    | Sign Up Search Page Edit with form History Compound and Elemental Analysis At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home...

  12. Reflection Survey At Snake River Plain Region (DOE GTP) | Open...

    Open Energy Info (EERE)

    Community Login | Sign Up Search Page Edit with form History Reflection Survey At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home...

  13. PLAINS & EASTERN CLEAN LINE TRANSMISSION LINE | Department of...

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

    and Implementation Transmission Planning Section 1222 of the Energy Policy Act 2005 PLAINS & ... August 2003 Blackout DOE Grid Tech Team Energy Assurance ...

  14. Green Plains Renewable Energy Inc GPRE | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Inc GPRE Jump to: navigation, search Name: Green Plains Renewable Energy Inc (GPRE) Place: Omaha, Nebraska Zip: 68114 Product: Nebraska-based publicly traded...

  15. Section 1222 Program - Proposed Plains & Eastern Clean Line Project...

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

    Section 1222 Program - Proposed Plains & Eastern Clean Line ... through the Southwestern Power Administration ... NEPA Website, and through other channels of communication. ...

  16. Vertical Seismic Profiling At Snake River Plain Region (DOE GTP...

    Open Energy Info (EERE)

    Vertical Seismic Profiling At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Vertical Seismic Profiling At...

  17. Magellan: A Cloud Computing Testbed

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

    Magellan News & Announcements Archive Petascale Initiative Exascale Computing APEX Home » R & D » Archive » Magellan: A Cloud Computing Testbed Magellan: A Cloud Computing Testbed Cloud computing is gaining a foothold in the business world, but can clouds meet the specialized needs of scientists? That was one of the questions NERSC's Magellan cloud computing testbed explored between 2009 and 2011. The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Oce

  18. A novel approach for introducing cloud spatial structure into cloud

    Office of Scientific and Technical Information (OSTI)

    radiative transfer parameterizations (Journal Article) | SciTech Connect A novel approach for introducing cloud spatial structure into cloud radiative transfer parameterizations Citation Details In-Document Search Title: A novel approach for introducing cloud spatial structure into cloud radiative transfer parameterizations Authors: Huang, Dong ; Liu, Yangang Publication Date: 2014-12-18 OSTI Identifier: 1222378 Grant/Contract Number: ASR; FASTER Type: Published Article Journal Name:

  19. Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical Depth

    Office of Scientific and Technical Information (OSTI)

    (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report (Technical Report) | SciTech Connect Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical Depth (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report Citation Details In-Document Search Title: Biogenic Aerosols - Effects on Climate and Clouds. Cloud Optical Depth (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report This report describes

  20. Cloud Based Applications and Platforms (Presentation)

    SciTech Connect (OSTI)

    Brodt-Giles, D.

    2014-05-15

    Presentation to the Cloud Computing East 2014 Conference, where we are highlighting our cloud computing strategy, describing the platforms on the cloud (including Smartgrid.gov), and defining our process for implementing cloud based applications.

  1. Opaque cloud detection

    DOE Patents [OSTI]

    Roskovensky, John K.

    2009-01-20

    A method of detecting clouds in a digital image comprising, for an area of the digital image, determining a reflectance value in at least three discrete electromagnetic spectrum bands, computing a first ratio of one reflectance value minus another reflectance value and the same two values added together, computing a second ratio of one reflectance value and another reflectance value, choosing one of the reflectance values, and concluding that an opaque cloud exists in the area if the results of each of the two computing steps and the choosing step fall within three corresponding predetermined ranges.

  2. ARM - Measurement - Images of Clouds

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

    Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Images of Clouds Digital images of cloud scenes (various formats) from satellite, aircraft, and ground-based...

  3. ARM - Measurement - Total cloud water

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

    cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The...

  4. Parameterization and analysis of 3-D radiative transfer in clouds

    SciTech Connect (OSTI)

    Varnai, Tamas

    2012-03-16

    This report provides a summary of major accomplishments from the project. The project examines the impact of radiative interactions between neighboring atmospheric columns, for example clouds scattering extra sunlight toward nearby clear areas. While most current cloud models donâ??t consider these interactions and instead treat sunlight in each atmospheric column separately, the resulting uncertainties have remained unknown. This project has provided the first estimates on the way average solar heating is affected by interactions between nearby columns. These estimates have been obtained by combining several years of cloud observations at three DOE Atmospheric Radiation Measurement (ARM) Climate Research Facility sites (in Alaska, Oklahoma, and Papua New Guinea) with simulations of solar radiation around the observed clouds. The importance of radiative interactions between atmospheric columns was evaluated by contrasting simulations that included the interactions with those that did not. This study provides lower-bound estimates for radiative interactions: It cannot consider interactions in cross-wind direction, because it uses two-dimensional vertical cross-sections through clouds that were observed by instruments looking straight up as clouds drifted aloft. Data from new DOE scanning radars will allow future radiative studies to consider the full three-dimensional nature of radiative processes. The results reveal that two-dimensional radiative interactions increase overall day-and-night average solar heating by about 0.3, 1.2, and 4.1 Watts per meter square at the three sites, respectively. This increase grows further if one considers that most large-domain cloud simulations have resolutions that cannot specify small-scale cloud variability. For example, the increases in solar heating mentioned above roughly double for a fairly typical model resolution of 1 km. The study also examined the factors that shape radiative interactions between atmospheric columns and found that local effects were often much larger than the overall values mentioned above, and were especially large for high sun and near convective clouds such as cumulus. The study also found that statistical methods such as neural networks appear promising for enabling cloud models to consider radiative interactions between nearby atmospheric columns. Finally, through collaboration with German scientists, the project found that new methods (especially one called â??stepwise krigingâ?) show great promise in filling gaps between cloud radar scans. If applied to data from the new DOE scanning cloud radars, these methods can yield large, continuous three-dimensional cloud structures for future radiative simulations.

  5. Great Lakes Steel -- PCI facility

    SciTech Connect (OSTI)

    Eichinger, F.T.; Dake, S.H.; Wagner, E.D.; Brown, G.S.

    1997-12-31

    This paper discusses the planning, design, and start-up of the 90 tph PCI facility for National Steel`s Great Lakes Steel Division in River Rouge, MI. This project is owned and operated by Edison Energy Services, and was implemented on a fast-track basis by Raytheon Engineers and Constructors, Babcock Material Handling, and Babcock and Wilcox. This paper presents important process issues, basic design criteria, an the challenges of engineering and building a state-of-the-art PCI facility in two existing plants. Pulverized coal is prepared at the River Rouge Power Plant of Detroit Edison, is pneumatically conveyed 6,000 feet to a storage silo at Great Lakes Steel, and is injected into three blast furnaces.

  6. ARM - Campaign Instrument - rl

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

    Instrument Categories Aerosols, Atmospheric Profiling Campaigns Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1994.04.01 - 1994.05.31...

  7. ARM - Campaign Instrument - aerosol-tower-eml

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

    (AEROSOL-TOWER-EML) Instrument Categories Aerosols Campaigns Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1994.04.01 - 1994.05.31...

  8. ARM - Campaign Instrument - mwrp

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

    Categories Atmospheric Profiling, Cloud Properties, Radiometric Campaigns ARM-FIRE Water Vapor Experiment Download Data Southern Great Plains, 2000.11.01 - 2000.12.31...

  9. ARM - Publications: Science Team Meeting Documents

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

    Time Series Analyses* Effect of Stratus on Solar Radiation: A Study using Millimeter Wave Cloud Radar and Microwave Radiometer Data from the Southern Great Plains (SGP) ...

  10. ARM - Publications: Science Team Meeting Documents

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

    Data over the Southern Great Plains (SGP) for January 1998 have been used to analyze the Clouds and the Earth's Radiant Energy System (CERES) radiative transfer calculations with ...

  11. Eddy Correlation Flux Measurement System (ECOR) Handbook (Technical...

    Office of Scientific and Technical Information (OSTI)

    heat, and carbon dioxide (CO2) (and methane at one Southern Great Plains extended ... Subject: 03 NATURAL GAS; CARBON DIOXIDE; MANUALS; METHANE; WATER VAPOR Word Cloud More ...

  12. Plains & Eastern Clean Line Project Proposal for New or Upgraded...

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

    of the Energy Policy Act of 2005 Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 ...

  13. Plain Energy GmbH | Open Energy Information

    Open Energy Info (EERE)

    Energy GmbH Jump to: navigation, search Name: Plain Energy GmbH Place: Munchen, Germany Zip: D-81675 Sector: Renewable Energy Product: Germany-based renewable energy investment...

  14. Plain Writing Act of 2010 for the Web | Department of Energy

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

    Federal Requirements » Plain Writing Act of 2010 for the Web Plain Writing Act of 2010 for the Web The Plain Writing Act requires federal documents to be clear, concise, and well-organized. All publications and websites created by the Office of Energy Efficiency and Renewable Energy (EERE) need to be written in plain language. Read Guidance on the Plain Writing Act of 2010 from the Office of Management and Budget. What is Plain Language? A website is written in plain language if it's written so

  15. Plains & Eastern Clean Line Transmission Line - Part 2 Application |

    Energy Savers [EERE]

    Department of Energy Transmission Line - Part 2 Application Plains & Eastern Clean Line Transmission Line - Part 2 Application In addition to conducting a NEPA review of the proposed Plains & Eastern Clean Line Transmission Line project, DOE will also conduct due diligence on non-NEPA factors such as the project's technical and financial feasibility and whether the project is in the public interest. DOE will conduct a thorough review that includes making all required statutory

  16. Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain,

    Office of Scientific and Technical Information (OSTI)

    Idaho using Multicomponent Geothermometry (Conference) | SciTech Connect Conference: Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain, Idaho using Multicomponent Geothermometry Citation Details In-Document Search Title: Deep Geothermal Reservoir Temperatures in the Eastern Snake River Plain, Idaho using Multicomponent Geothermometry The U.S. Geological survey has estimated that there are up to 4,900 MWe of undiscovered geothermal resources and 92,000 MWe of enhanced

  17. Great Basin Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Great Basin Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Great Basin Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3...

  18. Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

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

    Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington T. Besnard ATMOS SARL Le Mans, France D. Gillotay Institute d'Aeronomie Spatiale de Belgique Brussels, Belgium Introduction In the effort to resolve uncertainties about global climate change, the Atmospheric Radiation Measurement (ARM) Program (www.arm.gov) is improving the treatment of cloud radiative forcing and feedbacks in general

  19. PLAINS CO2 REDUCTION (PCOR) PARTNERSHIP

    SciTech Connect (OSTI)

    Edward N. Steadman; Daniel J. Daly; Lynette L. de Silva; John A. Harju; Melanie D. Jensen; Erin M. O'Leary; Wesley D. Peck; Steven A. Smith; James A. Sorensen

    2006-01-01

    During the period of October 1, 2003, through September 30, 2005, the Plains CO2 Reduction (PCOR) Partnership, identified geologic and terrestrial candidates for near-term practical and environmentally sound carbon dioxide (CO2) sequestration demonstrations in the heartland of North America. The PCOR Partnership region covered nine states and three Canadian provinces. The validation test candidates were further vetted to ensure that they represented projects with (1) commercial potential and (2) a mix that would support future projects both dependent and independent of CO2 monetization. This report uses the findings contained in the PCOR Partnership's two dozen topical reports and half-dozen fact sheets as well as the capabilities of its geographic information system-based Decision Support System to provide a concise picture of the sequestration potential for both terrestrial and geologic sequestration in the PCOR Partnership region based on assessments of sources, sinks, regulations, deployment issues, transportation, and capture and separation. The report also includes concise action plans for deployment and public education and outreach as well as a brief overview of the structure, development, and capabilities of the PCOR Partnership. The PCOR Partnership is one of seven regional partnerships under Phase I of the U.S. Department of Energy National Energy Technology Laboratory's Regional Carbon Sequestration Partnership program. The PCOR Partnership, comprising 49 public and private sector members, is led by the Energy & Environmental Research Center at the University of North Dakota. The international PCOR Partnership region includes the Canadian provinces of Alberta, Saskatchewan, and Manitoba and the states of Montana (part), Wyoming (part), North Dakota, South Dakota, Nebraska, Missouri, Iowa, Minnesota, and Wisconsin.

  20. TURBULENCE DECAY AND CLOUD CORE RELAXATION IN MOLECULAR CLOUDS

    SciTech Connect (OSTI)

    Gao, Yang; Law, Chung K.; Xu, Haitao

    2015-02-01

    The turbulent motion within molecular clouds is a key factor controlling star formation. Turbulence supports molecular cloud cores from evolving to gravitational collapse and hence sets a lower bound on the size of molecular cloud cores in which star formation can occur. On the other hand, without a continuous external energy source maintaining the turbulence, such as in molecular clouds, the turbulence decays with an energy dissipation time comparable to the dynamic timescale of clouds, which could change the size limits obtained from Jean's criterion by assuming constant turbulence intensities. Here we adopt scaling relations of physical variables in decaying turbulence to analyze its specific effects on the formation of stars. We find that the decay of turbulence provides an additional approach for Jeans' criterion to be achieved, after which gravitational infall governs the motion of the cloud core. This epoch of turbulence decay is defined as cloud core relaxation. The existence of cloud core relaxation provides a more complete understanding of the effect of the competition between turbulence and gravity on the dynamics of molecular cloud cores and star formation.

  1. DOE Regional Partnership Successfully Demonstrates Terrestrial CO2 Storage Practices in Great Plains Region of U.S. and Canada

    Broader source: Energy.gov [DOE]

    A field test demonstrating the best approaches for terrestrial carbon dioxide storage in the heartland of North America has been successfully completed by one of the U.S. Department of Energy's seven Regional Carbon Sequestration Partnerships.

  2. A Habitat-based Wind-Wildlife Collision Model with Application to the Upper Great Plains Region

    SciTech Connect (OSTI)

    Forcey, Greg, M.

    2012-08-28

    Most previous studies on collision impacts at wind facilities have taken place at the site-specific level and have only examined small-scale influences on mortality. In this study, we examine landscape-level influences using a hierarchical spatial model combined with existing datasets and life history knowledge for: Horned Lark, Red-eyed Vireo, Mallard, American Avocet, Golden Eagle, Whooping Crane, red bat, silver-haired bat, and hoary bat. These species were modeled in the central United States within Bird Conservation Regions 11, 17, 18, and 19. For the bird species, we modeled bird abundance from existing datasets as a function of habitat variables known to be preferred by each species to develop a relative abundance prediction for each species. For bats, there are no existing abundance datasets so we identified preferred habitat in the landscape for each species and assumed that greater amounts of preferred habitat would equate to greater abundance of bats. The abundance predictions for bird and bats were modeled with additional exposure factors known to influence collisions such as visibility, wind, temperature, precipitation, topography, and behavior to form a final mapped output of predicted collision risk within the study region. We reviewed published mortality studies from wind farms in our study region and collected data on reported mortality of our focal species to compare to our modeled predictions. We performed a sensitivity analysis evaluating model performance of 6 different scenarios where habitat and exposure factors were weighted differently. We compared the model performance in each scenario by evaluating observed data vs. our model predictions using spearmans rank correlations. Horned Lark collision risk was predicted to be highest in the northwestern and west-central portions of the study region with lower risk predicted elsewhere. Red-eyed Vireo collision risk was predicted to be the highest in the eastern portions of the study region and in the forested areas of the western portion; the lowest risk was predicted in the treeless portions of the northwest portion of the study area. Mallard collision risk was predicted to be highest in the eastern central portion of the prairie potholes and in Iowa which has a high density of pothole wetlands; lower risk was predicted in the more arid portions of the study area. Predicted collision risk for American Avocet was similar to Mallard and was highest in the prairie pothole region and lower elsewhere. Golden Eagle collision risk was predicted to be highest in the mountainous areas of the western portion of the study area and lowest in the eastern portion of the prairie potholes. Whooping Crane predicted collision risk was highest within the migration corridor that the birds follow through in the central portion of the study region; predicted collision risk was much lower elsewhere. Red bat collision risk was highly driven by large tracts of forest and river corridors which made up most of the areas of higher collision risk. Silver-haired bat and hoary bat predicted collision risk were nearly identical and driven largely by forest and river corridors as well as locations with warmer temperatures, and lower average wind speeds. Horned Lark collisions were mostly influenced by abundance and predictions showed a moderate correlation between observed and predicted mortality (r = 0.55). Red bat, silver-haired bat, and hoary bat predictions were much higher and shown a strong correlations with observed mortality with correlations of 0.85, 0.90, and 0.91 respectively. Red bat collisions were influenced primarily by habitat, while hoary bat and silver-haired bat collisions were influenced mainly by exposure variables. Stronger correlations between observed and predicted collision for bats than for Horned Larks can likely be attributed to stronger habitat associations and greater influences of weather on behavior for bats. Although the collision predictions cannot be compared among species, our model outputs provide a convenient and easy landscape-level tool to quickly screen for siting issues at a high level. The model resolution is suitable for state or multi-county siting but users are cautioned against using these models for micrositing. The U.S. Fish and Wildlife Service recently released voluntary land-based wind energy guidelines for assessing impacts of a wind facility to wildlife using a tiered approach. The tiered approach uses an iterative approach for assessing impacts to wildlife in levels of increasing detail from landscape-level screening to site-specific field studies. Our models presented in this paper would be applicable to be used as tools to conduct screening at the tier 1 level and would not be appropriate to complete smaller scale tier 2 and tier 3 level studies. For smaller scale screening ancillary field studies should be conducted at the site-specific level to validate collision predictions.

  3. Holistic Interactions of Shallow Clouds,

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

    Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems Research Instrumentation HI-SCALE will utilize the ARM Aerial Facility's Gulfstream-159 (G-1), as well as ground instrumentation located at the SGP megasite. 7e G-1 will complete transects over the site at multiple altitudes within the boundary layer, within clouds, and above clouds. 7e payload on the G-1 includes: * high frequency meteorological and radiation (both up and downwelling) measurements that also permit computing

  4. ARM - Measurement - Cloud top height

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

    RUC : Rapid Update Cycle Model Data Field Campaign Instruments CO2LIDAR : Carbon Dioxide Doppler Lidar MPLCMASK : Cloud mask from Micropulse Lidar VARANAL : Constrained...

  5. TWP Island Cloud Trail Studies

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

    a key to understanding boundary layer cloud formation in the tropics. Except during El Nio periods, Nauru represents a divergent region of the ocean upwind from the...

  6. ARM - Measurement - Cloud optical depth

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

    TWST : Three Waveband Spectrally-agile Technique Sensor WRF-CHEM : Weather Research and Forecasting (WRF) Model Output Value-Added Products LBTM-MINNIS : Minnis Cloud Products...

  7. ARM - Measurement - Cloud condensation nuclei

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

    AOS : Aerosol Observing System CCN : Cloud Condensation Nuclei Particle Counter TDMA : Tandem Differential Mobility Analyzer Field Campaign Instruments AMT : Aerosol Modeling...

  8. Widget:LogoCloud | Open Energy Information

    Open Energy Info (EERE)

    LogoCloud Jump to: navigation, search This widget adds css selectors and javascript for the Template:LogoCloud. For example: Widget:LogoCloud Retrieved from "http:...

  9. Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM mobile facility deployment

    SciTech Connect (OSTI)

    Wood, Robert; Luke, Ed; Wyant, Matthew; Bretherton, Christopher S.; Remillard, Jasmine; Kollias, Pavlos; Fletcher, Jennifer; Stemmler, Jayson; deSzoeke, S.; Yuter, Sandra; Miller, Matthew; Mechem, David; Tselioudis, George; Chiu, Christine; Mann, Julia; O Connor, Ewan; Hogan, Robin; Dong, Xiquan; Miller, Mark; Ghate, Virendra; Jefferson, Anne; Min, Qilong; Minnis, Patrick; Palinkonda, Rabindra; Albrecht, Bruce; Hannay, Cecile; Lin, Yanluan

    2014-04-27

    The Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) deployment at Graciosa Island in the Azores generated a 21-month (April 2009-December 2010) comprehensive dataset documenting clouds, aerosols, and precipitation using the Atmospheric Radiation Measurement Program (ARM) Mobile Facility (AMF). The scientific aim of the deployment is to gain improved understanding of the interactions of clouds, aerosols, and precipitation in the marine boundary layer. Graciosa Island straddles the boundary between the subtropics and midlatitudes in the Northeast Atlantic Ocean and consequently experiences a great diversity of meteorological and cloudiness conditions. Low clouds are the dominant cloud type, with stratocumulus and cumulus occurring regularly. Approximately half of all clouds contained precipitation detectable as radar echoes below the cloud base. Radar and satellite observations show that clouds with tops from 1-11 km contribute more or less equally to surface-measured precipitation at Graciosa. A wide range of aerosol conditions was sampled during the deployment consistent with the diversity of sources as indicated by back-trajectory analysis. Preliminary findings suggest important two-way interactions between aerosols and clouds at Graciosa, with aerosols affecting light precipitation and cloud radiative properties while being controlled in part by precipitation scavenging.The data from Graciosa are being compared with short-range forecasts made with a variety of models. A pilot analysis with two climate and two weather forecast models shows that they reproduce the observed time-varying vertical structure of lower-tropospheric cloud fairly well but the cloud-nucleating aerosol concentrations less well. The Graciosa site has been chosen to be a permanent fixed ARM site that became operational in October 2013.

  10. Clouds, aerosol, and precipitation in the Marine Boundary Layer: An ARM mobile facility deployment

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

    Wood, Robert; Luke, Ed; Wyant, Matthew; Bretherton, Christopher S.; Remillard, Jasmine; Kollias, Pavlos; Fletcher, Jennifer; Stemmler, Jayson; deSzoeke, S.; Yuter, Sandra; et al

    2014-04-27

    The Clouds, Aerosol, and Precipitation in the Marine Boundary Layer (CAP-MBL) deployment at Graciosa Island in the Azores generated a 21-month (April 2009-December 2010) comprehensive dataset documenting clouds, aerosols, and precipitation using the Atmospheric Radiation Measurement Program (ARM) Mobile Facility (AMF). The scientific aim of the deployment is to gain improved understanding of the interactions of clouds, aerosols, and precipitation in the marine boundary layer. Graciosa Island straddles the boundary between the subtropics and midlatitudes in the Northeast Atlantic Ocean and consequently experiences a great diversity of meteorological and cloudiness conditions. Low clouds are the dominant cloud type, with stratocumulusmore » and cumulus occurring regularly. Approximately half of all clouds contained precipitation detectable as radar echoes below the cloud base. Radar and satellite observations show that clouds with tops from 1-11 km contribute more or less equally to surface-measured precipitation at Graciosa. A wide range of aerosol conditions was sampled during the deployment consistent with the diversity of sources as indicated by back-trajectory analysis. Preliminary findings suggest important two-way interactions between aerosols and clouds at Graciosa, with aerosols affecting light precipitation and cloud radiative properties while being controlled in part by precipitation scavenging.The data from Graciosa are being compared with short-range forecasts made with a variety of models. A pilot analysis with two climate and two weather forecast models shows that they reproduce the observed time-varying vertical structure of lower-tropospheric cloud fairly well but the cloud-nucleating aerosol concentrations less well. The Graciosa site has been chosen to be a permanent fixed ARM site that became operational in October 2013.« less

  11. History of transcontinental railroads and coal mining on the Northern Plains to 1920

    SciTech Connect (OSTI)

    Bryans, W.S.

    1987-01-01

    This history examines the symbiotic relationship between three transcontinental railroads-the Union Pacific, Northern Pacific, and Great Northern-and coal mining in Montana, North Dakota, and Wyoming through 1920. Throughout their dual existence, American railroads and the coal industry enjoyed a mutually beneficial association. On the Northern Plains, however, this partnership assumed new dimensions. There, the coal and rails exerted unique influences upon one another. The location of deposits determined many of the transcontinentals' early decisions, especially route selection. The native fuel also was used to promote settlement on railroad lands. Two of the roads, the Union Pacific and Northern Pacific, held land grants containing valuable deposits. The Great Northern, having no such subsidy, acquired coal lands in northern Montana. On these properties, the three railroads pioneered the region's commercial coal mining industry. Eventually, each formed subsidiaries to direct their coal operations. While much of their production supplied steam locomotives, some was sold to the public. Furthermore, the policies of the Northern Pacific and Great Northern especially enabled their coal to stimulate non-railroad enterprises. In addition, all three provided the transportation which made exploitation by others economically feasible.

  12. Clouds Environmental Ltd | Open Energy Information

    Open Energy Info (EERE)

    Clouds Environmental Ltd Jump to: navigation, search Name: Clouds Environmental Ltd Place: Portsmouth, United Kingdom Zip: PO3 5EG Product: Independent consultancy specialising in...

  13. Satellite determination of stratus cloud microphysical properties...

    Office of Scientific and Technical Information (OSTI)

    of liquid water path from SSMI, broadband albedo from ERBE, and cloud characteristics from ISCCP are used to study stratus regions. An average cloud liquid water path of ...

  14. Cloud Properties Working Group Break Out Session

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

    relation to fall speeds, implications for previous measurements. (Mitchell) Q8: Geoengineering of cirrus clouds (Mitchell) Q9: Cold cloud phase partitioning: Roles of...

  15. Great Lakes Energy Coop | Open Energy Information

    Open Energy Info (EERE)

    Logo: Great Lakes Energy Coop Name: Great Lakes Energy Coop Address: PO Box 70 Place: Boyne City, MI Zip: 49712 Service Territory: Michigan Phone Number: 1-800-678-0411 Website:...

  16. Hydrogeochemical Indicators for Great Basin Geothemal Resources

    Broader source: Energy.gov [DOE]

    Hydrogeochemical Indicators for Great Basin Geothemal Resources presentation at the April 2013 peer review meeting held in Denver, Colorado.

  17. Evaluation of high-level clouds in cloud resolving model simulations with

    Office of Scientific and Technical Information (OSTI)

    ARM and KWAJEX observations (Journal Article) | SciTech Connect Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations Citation Details In-Document Search Title: Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations In this paper, we evaluate high-level clouds in a cloud resolving model during two convective cases, ARM9707 and KWAJEX. The simulated joint histograms of cloud occurrence and radar

  18. EPA Plain English Guide to the Clean Air Act | Open Energy Information

    Open Energy Info (EERE)

    Plain English Guide to the Clean Air Act Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: EPA Plain English Guide to the Clean Air Act Author...

  19. Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras

    Energy Savers [EERE]

    | Department of Energy from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Comment submitted on updated Part 2 application. PDF icon Comment from Dr. Contreras 6-10-15.pdf More Documents & Publications Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras

  20. Plains and Eastern Clean Line Transmission Line: Comment from Ms. Callahan

    Energy Savers [EERE]

    | Department of Energy Ms. Callahan Plains and Eastern Clean Line Transmission Line: Comment from Ms. Callahan Comment submitted on updated Part 2 application. PDF icon Comment from Ms. Callahan 07-13-15.pdf More Documents & Publications Plains and Eastern Clean Line Transmission Line: Comment from Cynthia Blansett (COE) Plains and Eastern Clean Line Transmission Line: Comment from Dr. Contreras Plains and Eastern Clean Line Transmission Line: Comment from Simon Mahan (SWEA)

  1. Plains and Eastern Clean Line Transmission Line: Comment from Save The

    Energy Savers [EERE]

    Ozarks | Department of Energy Save The Ozarks Plains and Eastern Clean Line Transmission Line: Comment from Save The Ozarks Comment submitted on updated Part 2 application. PDF icon Comment by Save the Ozarks 07-13-15.pdf More Documents & Publications Plains & Eastern Clean Line Transmission Line - Part 2 Application Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Plains and Eastern

  2. ARM Support for the Plains Elevated Convection at Night (AS-PECAN) Field

    Office of Scientific and Technical Information (OSTI)

    Campaign Report (Technical Report) | SciTech Connect ARM Support for the Plains Elevated Convection at Night (AS-PECAN) Field Campaign Report Citation Details In-Document Search Title: ARM Support for the Plains Elevated Convection at Night (AS-PECAN) Field Campaign Report The Plains Elevated Convection at Night (PECAN) field campaign was a large multi-agency/multi-institutional experiment that targeted nighttime convection events in the central plains of the United States in order to better

  3. NYDOCS01/1646893 Plains and Eastern Clean Line Participation Agreement

    Energy Savers [EERE]

    NYDOCS01/1646893 Plains and Eastern Clean Line Participation Agreement EXECUTION VERSION PARTICIPATION AGREEMENT among THE UNITED STATES DEPARTMENT OF ENERGY and PLAINS AND EASTERN CLEAN LINE HOLDINGS LLC, ARKANSAS CLEAN LINE LLC, PLAINS AND EASTERN CLEAN LINE OKLAHOMA LLC and certain of their Affiliates (as set forth herein) dated as of March 25, 2016 NYDOCS01/1646893 Plains and Eastern Clean Line Participation Agreement Table of Contents Article I Defined Terms and Definitions

  4. EIS-0390: Eastern Plains Transmission Project, Colorado and Kansas.

    Broader source: Energy.gov [DOE]

    This EIS is for Western Area Power Administration's proposal to participate with Tri-State Generation and Transmission Association, Inc. (Tri-State), to construct the proposed Eastern Plains Transmission Project (Project). Western’s participation with Tri-State would be in exchange for capacity rights on the transmission lines.

  5. ARM - Data Announcements Article

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

    5, 2016 [Data Announcements] New Radiative Flux Analysis VAP Now Operational Bookmark and Share Radiative flux analysis data of irradiance and cloud fraction are shown here for the Southern Great Plains. Radiative flux analysis data of irradiance and cloud fraction are shown here for the Southern Great Plains. The Radiative Flux Analysis VAP is an implementation of a series of algorithms that estimate clear sky broadband surface irradiances, cloud fraction, optical depth, cloud transmissivity,

  6. cloud | OpenEI Community

    Open Energy Info (EERE)

    - 13:42 How cleantech-as-a-service will drive renewable energy adoption 2015 adoption Big Data clean tech clean-tech cleantech cleantech forum cleantech-as-a-service cloud...

  7. ARM - Measurement - Cloud ice particle

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

    ice particle ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud ice particle...

  8. Millimeter Wave Cloud Radar (MMCR) Handbook

    SciTech Connect (OSTI)

    KB Widener; K Johnson

    2005-01-30

    The millimeter cloud radar (MMCR) systems probe the extent and composition of clouds at millimeter wavelengths. The MMCR is a zenith-pointing radar that operates at a frequency of 35 GHz. The main purpose of this radar is to determine cloud boundaries (e.g., cloud bottoms and tops). This radar will also report radar reflectivity (dBZ) of the atmosphere up to 20 km. The radar possesses a doppler capability that will allow the measurement of cloud constituent vertical velocities.

  9. Hydrogeochemical Indicators for Great Basin Geothemal Resources...

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

    Hydrogeochemical Indicators for Great Basin Geothemal Resources presentation at the April 2013 peer review meeting held in Denver, Colorado. PDF icon simmonshydrogeochemicalpeer2...

  10. Great Valley Ethanol LLC | Open Energy Information

    Open Energy Info (EERE)

    Valley Ethanol LLC Jump to: navigation, search Name: Great Valley Ethanol LLC Place: Bakersfield, California Product: Developing a 63m gallon ethanol plant in Hanford, CA...

  11. Great Lakes Biofuels LLC | Open Energy Information

    Open Energy Info (EERE)

    Great Lakes Biofuels LLC Place: Madison, Wisconsin Zip: 53704 Sector: Services Product: Biodiesel research, consulting, management distribution and services company. Coordinates:...

  12. GreatPoint Energy | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: GreatPoint Energy Address: 222 Third Street Place: Cambridge, Massachusetts Zip: 02142 Region: Greater Boston Area Sector: Biomass Product:...

  13. Evaluation of high-level clouds in cloud resolving model simulations...

    Office of Scientific and Technical Information (OSTI)

    Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations: HIGH CLOUD IN CRM Citation Details In-Document Search This content will ...

  14. Evaluation of Mixed-Phase Cloud Microphysics Parameterizations...

    Office of Scientific and Technical Information (OSTI)

    the partitioning of condensed water into liquid droplets and ice crystals in these Arctic clouds, which affect modeled cloud phase, cloud lifetime and radiative properties. ...

  15. Evaluation of high-level clouds in cloud resolving model simulations...

    Office of Scientific and Technical Information (OSTI)

    The simulated joint histograms of cloud occurrence and radar reflectivity compare well with cloud radar and satellite observations when using a two-moment microphysics scheme. ...

  16. Retrievals of Cloud Fraction and Cloud Albedo from Surface-based...

    Office of Scientific and Technical Information (OSTI)

    Retrievals of Cloud Fraction and Cloud Albedo from Surface-based Shortwave Radiation Measurements: A Comparison of 16 Year Measurements Citation Details In-Document Search Title: ...

  17. QER- Comment of Plains All American Pipeline, L.P.

    Broader source: Energy.gov [DOE]

    To: Members of the Quadrennial Energy Review Task Force Secretariat and Energy Policy and Systems Analysis Staff, U.S. Department of Energy Enclosed please find comments submitted on behalf of Plains All American Pipeline, L.P. for the record of the QER’s August 21, 2014 Infrastructure Siting and Permitting Meeting in Cheyenne, WY. Feel free to contact me if you need anything further regarding this communication.

  18. Evaluating the MMF Using CloudSat

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

    its cloud Evaluate the MMF and improve its cloud simulations simulations Borrowed from Dave Randall, CSU The big picture The big picture ... ... . . Data ARM A-Train, MISR etc. ...

  19. ARM - Measurement - Cloud particle size distribution

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

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud particle size distribution The number of cloud particles present in any given volume of air...

  20. ARM - Measurement - Cloud particle number concentration

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

    from you Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud particle number concentration The total number of cloud particles present in any given volume...

  1. Tropical Cloud Life Cycle and Overlap Structure

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

    Tropical Cloud Life Cycle and Overlap Structure Vogelmann, Andrew Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Kollias, Pavlos Brookhaven National Laboratory Luke, Edward Brookhaven National Laboratory Boer, Erwin LUEBEC Category: Cloud Properties The profile of cloud microphysical properties and how the clouds are overlapped within a vertical column have a profound impact on the radiative transfer and subsequent general circulation model simulations. We will

  2. Radiative Effects of Cloud Inhomogeneity and

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

    Radiative Effects of Cloud Inhomogeneity and Geometric Association Over the Tropical Western Pacific Warm Pool X. Wu National Center for Atmospheric Research (a) Boulder, Colorado X. -Z. Liang Illinois State Water Survey Champaign, Illinois Introduction The representation of cloud systems and cloud-radiation interaction is considered to be one of major uncertainties in general circulation models (GCMs). This arises because (1) complete observations of cloud systems are impossible and available

  3. What Makes Clouds Form, Grow and Die?

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

    Makes Clouds Form, Grow and Die? What Makes Clouds Form, Grow and Die? Simulations Show Raindrops Physics May Affect Climate Model Accuracy February 19, 2015 thunderstorm Brazil shuttle NASA 1984 540 PNNL scientists used real-world observations to simulate how small clouds are likely to stay shallow, while larger clouds grow deeper because they mix with less dry air. Pictured are small and large thunderstorms growing over southern Brazil, taken from the space shuttle. Image: NASA Johnson Space

  4. Plain Language: A Commitment to Writing You Can Understand | Department of

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

    Energy Plain Language: A Commitment to Writing You Can Understand Plain Language: A Commitment to Writing You Can Understand The Plain Writing Act of 2010 requires federal agencies to write "clear Government communication that the public can understand and use." President Obama also emphasized the importance of establishing "a system of transparency, public participation, and collaboration" in his January 21, 2009, Memorandum on Transparency and Open Government. We here

  5. Potential Oil Production from the Coastal Plain of the Arctic National

    U.S. Energy Information Administration (EIA) Indexed Site

    Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment 3. Summary The 1.5 million-acre coastal plain of the 19 million-acre Arctic National Wildlife Refuge is the largest unexplored, potentially productive geologic onshore basin in the United States. The primary area of the coastal plain is the 1002 Area of ANWR established when ANWR was created. A decision on permitting the exploration and development

  6. ARM Data for Cloud Parameterization

    SciTech Connect (OSTI)

    Xu, Kuan-Man

    2006-10-02

    The PI's ARM investigation (DE-IA02-02ER633 18) developed a physically-based subgrid-scale saturation representation that fully considers the direct interactions of the parameterized subgrid-scale motions with subgrid-scale cloud microphysical and radiative processes. Major accomplishments under the support of that interagency agreement are summarized in this paper.

  7. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | DOE PAGES Published Article: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances « Prev Next » Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar

  8. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | SciTech Connect Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Citation Details In-Document Search Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar

  9. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | SciTech Connect Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Citation Details In-Document Search Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar

  10. Joint retrievals of cloud and drizzle in marine boundary layer clouds using

    Office of Scientific and Technical Information (OSTI)

    ground-based radar, lidar and zenith radiances (Journal Article) | DOE PAGES Published Article: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Title: Joint retrievals of cloud and drizzle in marine boundary layer clouds using ground-based radar, lidar and zenith radiances Active remote sensing of marine boundary-layer clouds is challenging as drizzle drops often dominate the observed radar reflectivity. We present a

  11. Energy and water in the Great Lakes.

    SciTech Connect (OSTI)

    Tidwell, Vincent Carroll

    2011-11-01

    The nexus between thermoelectric power production and water use is not uniform across the U.S., but rather differs according to regional physiography, demography, power plant fleet composition, and the transmission network. That is, in some regions water demand for thermoelectric production is relatively small while in other regions it represents the dominate use. The later is the case for the Great Lakes region, which has important implications for the water resources and aquatic ecology of the Great Lakes watershed. This is today, but what about the future? Projected demographic trends, shifting lifestyles, and economic growth coupled with the threat of global climate change and mounting pressure for greater U.S. energy security could have profound effects on the region's energy future. Planning for such an uncertain future is further complicated by the fact that energy and environmental planning and regulatory decisionmaking is largely bifurcated in the region, with environmental and water resource concerns generally taken into account after new energy facilities and technologies have been proposed, or practices are already in place. Based on these confounding needs, the objective of this effort is to develop Great Lakes-specific methods and tools to integrate energy and water resource planning and thereby support the dual goals of smarter energy planning and development, and protection of Great Lakes water resources. Guiding policies for this planning are the Great Lakes and St. Lawrence River Basin Water Resources Compact and the Great Lakes Water Quality Agreement. The desired outcome of integrated energy-water-aquatic resource planning is a more sustainable regional energy mix for the Great Lakes basin ecosystem.

  12. Well Log Techniques At Snake River Plain Region (DOE GTP) | Open...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Well Log Techniques At Snake River Plain Region (DOE GTP) Exploration Activity Details Location Snake...

  13. Core Analysis At Snake River Plain Region (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Core Analysis At Snake River Plain Region (DOE GTP) Exploration Activity Details Location...

  14. Slim Holes At Snake River Plain Region (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Community Login | Sign Up Search Page Edit with form History Slim Holes At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home...

  15. Field Mapping At Snake River Plain Region (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Snake River Plain Region (DOE GTP) Exploration Activity Details Location Snake...

  16. Flow Test At Snake River Plain Region (DOE GTP) | Open Energy...

    Open Energy Info (EERE)

    Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Flow Test At Snake River Plain Region (DOE GTP) Exploration Activity Details Location Snake River...

  17. EIS-0486: Plains & Eastern Clean Line Transmission Project

    Broader source: Energy.gov [DOE]

    This EIS will evaluate the potential environmental impacts of participating with Clean Line Energy Partners LLC (Clean Line) in the proposed Plains & Eastern Project. The proposed project would include an overhead ± 600 kilovolt (kV) high voltage direct current (HVDC) electric transmission system and associated facilities with the capacity to deliver approximately 3,500 megawatts (MW) primarily from renewable energy generation facilities in the Oklahoma Panhandle region to load-serving entities in the Mid-South and Southeast via an interconnection with the Tennessee Valley Authority (TVA).

  18. Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure

    SciTech Connect (OSTI)

    Li, Jie; Humphrey, Marty; Cheah, You-Wei; Ryu, Youngryel; Agarwal, Deb; Jackson, Keith; van Ingen, Catharine

    2010-04-01

    It can be natural to believe that many of the traditional issues of scale have been eliminated or at least greatly reduced via cloud computing. That is, if one can create a seemingly wellfunctioning cloud application that operates correctly on small or moderate-sized problems, then the very nature of cloud programming abstractions means that the same application will run as well on potentially significantly larger problems. In this paper, we present our experiences taking MODISAzure, our satellite data processing system built on the Windows Azure cloud computing platform, from the proof-of-concept stage to a point of being able to run on significantly larger problem sizes (e.g., from national-scale data sizes to global-scale data sizes). To our knowledge, this is the longest-running eScience application on the nascent Windows Azure platform. We found that while many infrastructure-level issues were thankfully masked from us by the cloud infrastructure, it was valuable to design additional redundancy and fault-tolerance capabilities such as transparent idempotent task retry and logging to support debugging of user code encountering unanticipated data issues. Further, we found that using a commercial cloud means anticipating inconsistent performance and black-box behavior of virtualized compute instances, as well as leveraging changing platform capabilities over time. We believe that the experiences presented in this paper can help future eScience cloud application developers on Windows Azure and other commercial cloud providers.

  19. ackerman-98.pdf

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

    One-Year Cloud Climatology for the Southern Great Plains Site T. P. Ackerman, R. T. Marchand, and E. E. Clothiaux Department of Meteorology The Pennsylvania State University University Park, Pennsylvania Introduction The addition of the millimeter wave cloud radar (MMCR) to the suite of instruments at the Southern Great Plains (SGP) site has provided the necessary observations to produce a cloud climatology. Data from the MMCR are currently being combined with data from the Belfort laser

  20. marchand-99.PDF

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

    Two-Year Cloud Climatology for the Southern Great Plains Site R. T. Marchand, T. P. Ackerman, and E. E. Clothiaux Pennsylvania State University University Park, Pennsylvania Introduction The addition of the millimeter cloud radar to the suite of instruments at the Southern Great Plains (SGP) site has provided the necessary observations to produce a cloud climatology. Using algorithms developed by our research group, data from the radar are combined with data from the Belfort ceilometer and

  1. Quantifying Diurnal Cloud Radiative Effects by Cloud Type in the Tropical Western Pacific

    SciTech Connect (OSTI)

    Burleyson, Casey D.; Long, Charles N.; Comstock, Jennifer M.

    2015-06-01

    Cloud radiative effects are examined using long-term datasets collected at the three Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facilities in the tropical western Pacific. We quantify the surface radiation budget, cloud populations, and cloud radiative effects by partitioning the data by cloud type, time of day, and as a function of large scale modes of variability such as El Niño Southern Oscillation (ENSO) phase and wet/dry seasons at Darwin. The novel facet of our analysis is that we break aggregate cloud radiative effects down by cloud type across the diurnal cycle. The Nauru cloud populations and subsequently the surface radiation budget are strongly impacted by ENSO variability whereas the cloud populations over Manus only shift slightly in response to changes in ENSO phase. The Darwin site exhibits large seasonal monsoon related variations. We show that while deeper convective clouds have a strong conditional influence on the radiation reaching the surface, their limited frequency reduces their aggregate radiative impact. The largest source of shortwave cloud radiative effects at all three sites comes from low clouds. We use the observations to demonstrate that potential model biases in the amplitude of the diurnal cycle and mean cloud frequency would lead to larger errors in the surface energy budget compared to biases in the timing of the diurnal cycle of cloud frequency. Our results provide solid benchmarks to evaluate model simulations of cloud radiative effects in the tropics.

  2. Vertical microphysical profiles of convective clouds as a tool for

    Office of Scientific and Technical Information (OSTI)

    obtaining aerosol cloud-mediated climate forcings (Technical Report) | SciTech Connect Vertical microphysical profiles of convective clouds as a tool for obtaining aerosol cloud-mediated climate forcings Citation Details In-Document Search Title: Vertical microphysical profiles of convective clouds as a tool for obtaining aerosol cloud-mediated climate forcings Quantifying the aerosol/cloud-mediated radiative effect at a global scale requires simultaneous satellite retrievals of cloud

  3. ARM Cloud Aerosol Precipitation Experiment

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

    Aerosol Precipitation Experiment a NOAA ship in the Pacific Ocean and on a DOE- sponsored plane over land and sea. These researchers will study: (1) water sources, evolution and structure of atmospheric rivers over the Pacific Ocean (2) long range transport of aerosols over the Pacific Ocean between Hawaii and the U.S. West Coast, and how aerosols interact with atmospheric rivers (3) the point where atmospheric rivers make landfall on the U.S. West Coast, especially how clouds form where

  4. HUBZone, Great Opportunity for Small Businesses

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

    For Immediate Release HUBZone, Great Opportunity for Small Businesses CARLSBAD, N.M., March 25, 2003 - To help the region's small businesses attract federal and state work, Washington TRU Solutions LLC (WTS) will offer a Small Business Fair on May 2 in Carlsbad to introduce the U.S. Small Business Administration's (SBA) HUBZone concept and other socioeconomic programs. WTS is the prime contractor for the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP). A HUBZone

  5. Playa basin development, southern High Plains, Texas and New Mexico

    SciTech Connect (OSTI)

    Gustavson, T.C. (Univ. of Texas, Austin, TX (United States)); Holliday, V.T. (Univ. of Wisconsin, Madison, WI (United States))

    1992-01-01

    More than 20,000 playa basins have formed on fine-grained eolian sediments of the Quaternary Blackwater Draw and Tertiary Ogallala Formations on the High Plains of TX and NM. Numerous hypotheses have been proposed for the development of playa basins: (1) subsidence due to dissolution of underlying Permian bedded salt, (2) dissolution of soil carbonate and piping of clastic sediment into the subsurface, (3) animal activity, and (4) deflation. Evidence of eolian processes includes lee dunes and straightened shorelines on the eastern and southern margins of many playas. Lee dunes, which occur on the eastern side of ca 15% of playa basins and contain sediment deflated from adjacent playas, are cresentic to oval in plain view and typically account for 15--40% of the volume of the playa basin. Quaternary fossil biotas and buried calcic soils indicate that grasslands and semi-arid to aid climatic conditions prevailed as these basins formed. Evidence of fluviolacustrine processes in playa basins includes centripetal drainage leading to fan deltas at playa margins and preserved deltaic and lacustrine sediments. Playa basins expanded as fluvial processes eroded basin slopes and carried sediment to the basin floor where, during periods of minimal vegetation cover, loose sediment was removed by deflation. Other processes that played secondary roles in the development of certain playa basins include subsidence induced by dissolution of deeply buried Permian salt, dissolution of soil carbonate and piping, and animal activity. Two small lake basins in Gray County, TX, occur above strata affected by dissolution-induced subsidence. Dissolution of soil carbonate was observed in exposures and cores of strata underlying playa basins. Cattle, and in the past vast numbers of migrating buffalo, destroy soil crusts in dry playas, making these sediments more susceptible to deflation, and carry sediment out of flooded playas on their hooves.

  6. Testing a New Cirrus Cloud Parameterizaton

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

    Testing a New Cirrus Cloud Parameterization in NCAR CCM3 D. Zurovac-Jevtic, G. J. Zhang, and V. Ramanathan Center for Atmospheric Sciences Scripps Institute of Oceanography La Jolla, California Introduction Cirrus cloud cover and ice water content (IWC) are the two most important properties of cirrus clouds. However, in general circulation models (GCMs), their treatment is very crude. For example, in the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM3), IWC is

  7. The LANL Cloud-Aerosol Model

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

    The K-25 Story The K-25 Story Addthis Description The K-25 Story

    The LANL Cloud-Aerosol Model Reisner, Jon Los Alamos National Laboratory Category: Modeling Additional Authors: Dubey Manvendra, Chris Jeffery, Miroslaw Andrejczuk, and Dave Moulton A cloud-aerosol modeling framework is being developed at Los Alamos National Laboratory that incorporates two unique aspects in its formulation. First, the model employs a nonlinear solver that requires cloud-aerosol parameterizations be smooth or

  8. Midlatitude Continental Convective Clouds Experiment Science Objective

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

    Midlatitude Continental Convective Clouds Experiment Science Objective Despite improvements in computing power, current weather and climate models are unable to accurately reproduce the formation, growth, and decay of clouds and precipitation associated with storm systems. Not only is this due to a lack of data about precipitation, but also about the 3-dimensional environment of the surrounding clouds, winds, and moisture, and how that affects the transfer of energy between the sun and Earth. To

  9. Retrievals of Cloud Fraction and Cloud Albedo from Surface-based Shortwave

    Office of Scientific and Technical Information (OSTI)

    Radiation Measurements: A Comparison of 16 Year Measurements (Journal Article) | SciTech Connect Retrievals of Cloud Fraction and Cloud Albedo from Surface-based Shortwave Radiation Measurements: A Comparison of 16 Year Measurements Citation Details In-Document Search Title: Retrievals of Cloud Fraction and Cloud Albedo from Surface-based Shortwave Radiation Measurements: A Comparison of 16 Year Measurements Ground-based radiation measurements have been widely conducted to gain information

  10. Mountain-induced Dynamics Influence Cloud Phase

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

    2010-2011 via coordinated projects targeting clouds, precipitation, and dynamics in the Park Range of Colorado. The National Science Foundation sponsored aircraft measurements as...

  11. DOE Research and Development Accomplishments Tag Cloud

    Office of Scientific and Technical Information (OSTI)

    Database Tag Cloud This tag cloud is a specific type of weighted list that provides a quick look at the content of the DOE R&D Accomplishments database. It can be easily browsed because terms are in alphabetical order. With this tag cloud, there is a direct correlation between font size and quantity. The more times a term appears in the bibliographic citations, the larger the font size. This tag cloud is also interactive. Clicking on a term will activate a search for that term. Search

  12. Dynamics of Molecular Clouds: Observations, Simulations, and...

    Office of Scientific and Technical Information (OSTI)

    Simulations, and NIF Experiments Citation Details In-Document Search Title: Dynamics of Molecular Clouds: Observations, Simulations, and NIF Experiments You are ...

  13. What Makes Clouds Form, Grow and Die?

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

    were born and grew. Those formulas did not always reflect reality. With more advanced computers came the ability to explicitly simulate large-cloud systems instead of approximating...

  14. Characterizing Arctic Mixed-phase Cloud Structure

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

    have two distinguished cloud base heights (CBHs) that can be defined by both ceilometer (black dots) and micropulse lidar (MPL; pink dots) measurements (Figure 1). For a...

  15. Fragmentation in rotating isothermal protostellar clouds

    SciTech Connect (OSTI)

    Bodenheimer, P.; Tohline, J.E.; Black, D.C.

    1980-01-01

    Results of an extensive set of 3-D hydrodynamic calculations that have been performed to investigate the susceptibility of rotating clouds to gravitational fragmentation are presented. (GHT)

  16. ARM - Field Campaign - Midlatitude Continental Convective Clouds...

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

    Experiment (MC3E) Campaign Links Science Plan MC3E Website Field Campaign Report ARM Data Discovery Browse Data Related Campaigns Midlatitude Continental Convective Clouds...

  17. ARM - Evaluation Product - Cloud Classification VAP

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

    properties includes cloud boundaries, thickness, phase, type, and precipitation information, and hence provides a useful tool for evaluation of model simulations and...

  18. ARM - Field Campaign - Cloud Radar IOP

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

    of aerosol properties during clear-sky conditions. The ETL Radar Meteorology and Oceanography Division will field their NOAAK scanning cloud radar near the new ARM millimeter...

  19. CHARACTERIZATION OF CLOUDS IN TITAN'S TROPICAL ATMOSPHERE

    SciTech Connect (OSTI)

    Griffith, Caitlin A.; Penteado, Paulo; Rodriguez, Sebastien; Baines, Kevin H.; Buratti, Bonnie; Sotin, Christophe; Clark, Roger; Nicholson, Phil; Jaumann, Ralf

    2009-09-10

    Images of Titan's clouds, possible over the past 10 years, indicate primarily discrete convective methane clouds near the south and north poles and an immense stratiform cloud, likely composed of ethane, around the north pole. Here we present spectral images from Cassini's Visual Mapping Infrared Spectrometer that reveal the increasing presence of clouds in Titan's tropical atmosphere. Radiative transfer analyses indicate similarities between summer polar and tropical methane clouds. Like their southern counterparts, tropical clouds consist of particles exceeding 5 {mu}m. They display discrete structures suggestive of convective cumuli. They prevail at a specific latitude band between 8 deg. - 20 deg. S, indicative of a circulation origin and the beginning of a circulation turnover. Yet, unlike the high latitude clouds that often reach 45 km altitude, these discrete tropical clouds, so far, remain capped to altitudes below 26 km. Such low convective clouds are consistent with the highly stable atmospheric conditions measured at the Huygens landing site. Their characteristics suggest that Titan's tropical atmosphere has a dry climate unlike the south polar atmosphere, and despite the numerous washes that carve the tropical landscape.

  20. Ground-based Microwave Cloud Tomography

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

    Microwave Cloud Tomography Experiment, SGP, May 15-June 15, 2009 Lead Scientist Dong Huang, BNL Co-Investigators Al Gasiewski, UC Boulder Maria Cadeddu, ANL Warren Wiscombe, BNL Radiation Processes Working Group March 30, 2009 multiple radiometers All good cloud radiation modelers should close their airplane window shades so as not to be corrupted by the spectacle of real 3D clouds. - Roger Davies In case you forget to do this, you see 3/30/2009 ARM RPWG 2 Effects of cloud structure on radiation

  1. Dynamics of Molecular Clouds: Observations, Simulations, and...

    Office of Scientific and Technical Information (OSTI)

    Simulations, and NIF Experiments Citation Details In-Document Search Title: Dynamics of Molecular Clouds: Observations, Simulations, and NIF Experiments Authors: Kane, J ...

  2. Electron Cloud Effects in Accelerators

    SciTech Connect (OSTI)

    Furman, M.A.

    2012-11-30

    Abstract We present a brief summary of various aspects of the electron-cloud effect (ECE) in accelerators. For further details, the reader is encouraged to refer to the proceedings of many prior workshops, either dedicated to EC or with significant EC contents, including the entire ?ECLOUD? series [1?22]. In addition, the proceedings of the various flavors of Particle Accelerator Conferences [23] contain a large number of EC-related publications. The ICFA Beam Dynamics Newsletter series [24] contains one dedicated issue, and several occasional articles, on EC. An extensive reference database is the LHC website on EC [25].

  3. Obama Administration Hosts Great Lakes Offshore Wind Workshop in Chicago

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

    with Great Lakes Wind Collaborative | Department of Energy Hosts Great Lakes Offshore Wind Workshop in Chicago with Great Lakes Wind Collaborative Obama Administration Hosts Great Lakes Offshore Wind Workshop in Chicago with Great Lakes Wind Collaborative October 28, 2010 - 12:00am Addthis WASHINGTON - The White House Council on Environmental Quality and the U.S. Department of Energy hosted a workshop with the Great Lakes Wind Collaborative in Chicago on October 26 - 27, 2010, focused on the

  4. Clouds, aerosol, and precipitation in the Marine Boundary Layer...

    Office of Scientific and Technical Information (OSTI)

    Approximately half of all clouds contained precipitation detectable as radar echoes below the cloud base. Radar and satellite observations show that clouds with tops from 1-11 km ...

  5. ARM - Field Campaign - Measuring Clouds at SGP with Stereo Photogramme...

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

    the form of the Point Cloud of Cloud Points Product (PCCPP). The PCCPP will: provide context on life-cycle stage and cloud position for vertically pointing radars, lidars, and...

  6. Intercomparison of model simulations of mixed-phase clouds observed...

    Office of Scientific and Technical Information (OSTI)

    Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single layer cloud Citation Details In-Document ...

  7. ARM - PI Product - Cloud Property Retrieval Products for Graciosa...

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

    LWP43*pi*r3*N*dZ with the uncertainty of 30%, sigma0.38 cloud optical thickness taudong: Dong98 calculated cloud optical depth from tau1.575LWPreDong cloud particle...

  8. VOCALS: The VAMOS Ocean-Cloud-Atmosphere-Land Study () | Data...

    Office of Scientific and Technical Information (OSTI)

    VOCALS: The VAMOS Ocean-Cloud-Atmosphere-Land Study Title: VOCALS: The VAMOS Ocean-Cloud-Atmosphere-Land Study VOCALS (VAMOS* Ocean-Cloud-Atmosphere-Land Study) is an international ...

  9. Great Lakes Science Center Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Science Center Wind Farm Jump to: navigation, search Name Great Lakes Science Center Wind Farm Facility Great Lakes Science Center Sector Wind energy Facility Type Community Wind...

  10. Great Boiling Springs Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    Great Boiling Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Great Boiling Springs Geothermal Area Contents 1 Area Overview 2 History and...

  11. Obama Administration Hosts Great Lakes Offshore Wind Workshop...

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

    ... The Great Lakes Wind Collaborative is a multi-sector coalition of wind energy stakeholders working to facilitate the sustainable development of wind power in the binational Great ...

  12. Composite refraction-reflection stack sections: Tracing faults in the Atlantic coastal plain sediments

    SciTech Connect (OSTI)

    Stephenson, D.E.; Coruh, C.; Costain, J.K.

    1993-05-01

    Seismic data from the Atlantic Coastal Plain are reprocessed and composite refraction-reflection stack sections produced to investigate basement faults that penetrate upward into Atlantic Coastal Plain sediments in South Carolina. Reprocessing recovered reflections from within the deep crust to the Moho as well as from within thin veneer (300) of the Atlantic Coastal Plain sediments. One of the major objectives of this paper is to discuss the use of shallow refracted arrivals to construct a composite refraction- reflection stack that allows better imaging of the subsurface at shallow depths.

  13. ARM - Publications: Science Team Meeting Documents: Tropical Cloud Overlap

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

    Structure and Cloud Area Tropical Cloud Overlap Structure and Cloud Area Vogelmann, Andrew Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Boer, Erwin LUEBEC The Tropical Western Pacific (TWP), with its vigorous cloud activity, is an excellent location to investigate the relationships between cloud properties and radiative fluxes. To unlock such issues first requires a better understanding of what the observed structures of clouds are and how they affect the

  14. Vertical microphysical profiles of convective clouds as a tool...

    Office of Scientific and Technical Information (OSTI)

    at a global scale requires simultaneous satellite retrievals of cloud condensation nuclei ... of boundary layer convective clouds from an operational polar orbiting weather satellite. ...

  15. Towards a Characterization of Arctic Mixed-Phase Clouds

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

    manual classification of cloud phase. Using collocated cloud radar and depolarization lidar observations, it is shown that mixed-phase conditions have a high correlation with a...

  16. Cloud Optical Properties from the Multi-Filter Shadowband Radiometer...

    Office of Scientific and Technical Information (OSTI)

    Cloud Optical Properties from the Multi-Filter Shadowband Radiometer (MFRSRCLDOD): An ARM ... 7. The retrieval assumes a single cloud layer consisting solely of liquid water drops. ...

  17. Tropical Cloud Properties and Radiative Heating Profiles (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Tropical Cloud Properties and Radiative Heating Profiles Title: Tropical Cloud Properties ... in that it uses the microwave radiometer to scale the radiosonde column water vapor. ...

  18. ARM - Evaluation Product - CMWG Data - SCM-Forcing Data, Cloud...

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

    data. Cloud microphysical properties derived from Mace's data of atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates are regridded to a...

  19. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency ... (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). ...

  20. Cloud microphysical relationships and their implication on entrainment...

    Office of Scientific and Technical Information (OSTI)

    Cloud microphysical relationships and their implication on entrainment and mixing mechanism for the stratocumulus clouds measured during the VOCALS project Citation Details ...

  1. ARM - Field Campaign - Azores: Clouds, Aerosol and Precipitation...

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

    Campaigns Azores: Above-Cloud Radiation Budget near Graciosa Island 2010.04.15, Miller, AMF Azores: Extension to Clouds, Aerosol and Precipitation in the Marine Boundary...

  2. Simulations of the electron cloud buildups and suppressions in...

    Office of Scientific and Technical Information (OSTI)

    Simulations of the electron cloud buildups and suppressions in Tevatron and main injector Citation Details In-Document Search Title: Simulations of the electron cloud buildups and ...

  3. Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems...

    Office of Scientific and Technical Information (OSTI)

    Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Science ... Current convective cloud parameterizations contain uncertainties resulting in part from ...

  4. STORMVEX: Ice Nuclei and Cloud Condensation Nuclei Characterization...

    Office of Scientific and Technical Information (OSTI)

    Nuclei and Cloud Condensation Nuclei Characterization Field Campaign Report D Cziczo March ... warm clouds, require precise separation techniques and accurate identification of phase. ...

  5. STORMVEX. Ice Nuclei and Cloud Condensation Nuclei Characterization...

    Office of Scientific and Technical Information (OSTI)

    Title: STORMVEX. Ice Nuclei and Cloud Condensation Nuclei Characterization Field Campaign ... warm clouds, require precise separation techniques and accurate identification of phase. ...

  6. ARM: Millimeter Wavelength Cloud Radar (MMCR): transmitted RF...

    Office of Scientific and Technical Information (OSTI)

    transmitted RF power Title: ARM: Millimeter Wavelength Cloud Radar (MMCR): transmitted RF power Millimeter Wavelength Cloud Radar (MMCR): transmitted RF power Authors: Karen ...

  7. ARM - Publications: Science Team Meeting Documents: Cloud Radiative...

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

    Research Facility: Part 2. The Vertical Redistribution of Radiant Energy by Clouds. ... Documentation with data of the effects of clouds on the radiant energy balance of the ...

  8. Distribution and Validation of Cloud Cover Derived from AVHRR...

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

    ... maps developed for the Cloud's and the Earth's Radiant Energy System (CERES) Project. ... for the Cloud's and the Earth's Radiant Energy System (CERES) Experiment. J. Appl. ...

  9. Humidity trends imply increased sensitivity to clouds in a warming...

    Office of Scientific and Technical Information (OSTI)

    is modulated by cloud properties; however, CRE also depends on humidity because clouds emit at wavelengths that are semi-transparent to greenhouse gases, most notably water vapour. ...

  10. ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds...

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

    relevant to DOE's goals in understanding the impact of clouds and aerosols on climate change. TWST contributes significantly to the body of data used for extracting cloud...

  11. Stratus Cloud Structure from MM-Radar Transects and Satellite...

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

    modeling: * cloud-radiation interaction where correlations can trigger three-dimensional (3D) radiative transfer effects; and * dynamical cloud modeling where the goal is to...

  12. ARM - Midlatitude Continental Convective Clouds Experiment (MC3E...

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

    and Related Campaigns Meetings Cloud Life Cycle Working Group Contacts Michael Jensen, Lead Scientist Midlatitude Continental Convective Clouds Experiment (MC3E) Thanks to...

  13. ARM - Field Campaign - Marine ARM GPCI Investigation of Clouds...

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

    govCampaignsMarine ARM GPCI Investigation of Clouds (MAGIC) Campaign Links MAGIC Website ARM Data Discovery Browse Data Related Campaigns Marine ARM GPCI Investigation of Clouds...

  14. ARM: Aerosol Observing System (AOS): cloud condensation nuclei...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: Aerosol Observing System (AOS): cloud condensation nuclei data Aerosol Observing System (AOS): cloud condensation nuclei data Authors: Scott Smith ; Cynthia Salwen ; ...

  15. The relationship between interannual and long-term cloud feedbacks...

    Office of Scientific and Technical Information (OSTI)

    climate models with more positive cloud feedback in response to interannual climate fluctuations also have more positive cloud feedback in response to long-term global warming. ...

  16. City of Red Cloud, Nebraska (Utility Company) | Open Energy Informatio...

    Open Energy Info (EERE)

    Red Cloud, Nebraska (Utility Company) Jump to: navigation, search Name: Red Cloud Municipal Power Place: Nebraska Phone Number: 402-746-2215 Website: www.redcloudnebraska.comgover...

  17. Determining Cloud Ice Water Path from High-Frequency Microwave...

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

    Determining Cloud Ice Water Path from High-Frequency Microwave Measurements G. Liu ... A better understanding of cloud water content and its large-scale distribution ...

  18. Determination of Large-Scale Cloud Ice Water Concentration by...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Determination of Large-Scale Cloud Ice Water Concentration by Combining ... Title: Determination of Large-Scale Cloud Ice Water Concentration by Combining Surface ...

  19. Direct Numerical Simulations and Robust Predictions of Cloud...

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

    cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name:...

  20. ARM: Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid...

    Office of Scientific and Technical Information (OSTI)

    Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid Water and Precipitable Water Vapor Title: ARM: Microwave Radiometer Retrievals (MWRRET) of Cloud Liquid Water and ...

  1. Evolution in Cloud Population Statistics of the MJO. From AMIE...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Evolution in Cloud Population Statistics of the MJO. From AMIE Field ... Citation Details In-Document Search Title: Evolution in Cloud Population Statistics of the ...

  2. Evolution in Cloud Population Statistics of the MJO. From AMIE...

    Office of Scientific and Technical Information (OSTI)

    Evolution in Cloud Population Statistics of the MJO. From AMIE Field Observations to ... Citation Details In-Document Search Title: Evolution in Cloud Population Statistics of the ...

  3. COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL TECHNIQUES TO EVALUATE CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION

    SciTech Connect (OSTI)

    Somerville, Richard

    2013-08-22

    The long-range goal of several past and current projects in our DOE-supported research has been the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data, and the implementation and testing of these parameterizations in global models. The main objective of the present project being reported on here has been to develop and apply advanced statistical techniques, including Bayesian posterior estimates, to diagnose and evaluate features of both observed and simulated clouds. The research carried out under this project has been novel in two important ways. The first is that it is a key step in the development of practical stochastic cloud-radiation parameterizations, a new category of parameterizations that offers great promise for overcoming many shortcomings of conventional schemes. The second is that this work has brought powerful new tools to bear on the problem, because it has been a collaboration between a meteorologist with long experience in ARM research (Somerville) and a mathematician who is an expert on a class of advanced statistical techniques that are well-suited for diagnosing model cloud simulations using ARM observations (Shen).

  4. Savannah River Region: Transition between the Gulf and Atlantic Coastal Plains. Proceedings

    SciTech Connect (OSTI)

    Zullo, V.A.; Harris, W.B.; Price, V. [eds.

    1990-12-31

    The focus of the this conference of Coastal Plains geologists was on the Savannah River region of Georgia and South Carolina, and particularly on the geology of the US Department of Energy`s 300 square mile Savannah River Site (SRS) in western South Carolina. Current geological studies indicate that the Mesozoic-Cenozoic section in the Savannah River region is transitional between that of the Gulf Coastal Plain to the southwest and that of the Atlantic Coastal Plain to the northeast. With the transitional aspect of the region as its theme, the first session was devoted to overviews of Cretaceous and Paleogene geology in the Gulf and Atlantic Coastal Plains. Succeeding presentations and resulting discussions dealt with more specific problems in structural, lithostratigraphic, hydrological, biostratigraphic, and cyclostratigraphic analysis, and of correlation to standard stratigraphic frameworks. For these conference proceedings, individual papers have been processed separately for the Energy Data Base.

  5. Groundwater Discharge along a Channelized Coastal Plain Stream

    SciTech Connect (OSTI)

    LaSage, Danita M; Sexton, Joshua L; Mukherjee, Abhijit; Fryar, Alan E; Greb, Stephen F

    2015-10-01

    In the Coastal Plain of the southeastern USA, streams have commonly been artificially channelized for flood control and agricultural drainage. However, groundwater discharge along such streams has received relatively little attention. Using a combination of stream- and spring-flow measurements, spring temperature measurements, temperature profiling along the stream-bed, and geologic mapping, we delineated zones of diffuse and focused discharge along Little Bayou Creek, a channelized, first-order perennial stream in western Kentucky. Seasonal variability in groundwater discharge mimics hydraulic-head fluctuations in a nearby monitoring well and spring-discharge fluctuations elsewhere in the region, and is likely to reflect seasonal variability in recharge. Diffuse discharge occurs where the stream is incised into the semi-confined regional gravel aquifer, which is comprised of the Mounds Gravel. Focused discharge occurs upstream where the channel appears to have intersected preferential pathways within the confining unit. Seasonal fluctuations in discharge from individual springs are repressed where piping results in bank collapse. Thereby, focused discharge can contribute to the morphological evolution of the stream channel.

  6. Potential Oil Production from the Coastal Plain of the Arctic National

    U.S. Energy Information Administration (EIA) Indexed Site

    Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment 2. Analysis Discussion Resource Assessment The USGS most recent assessment of oil and gas resources of ANWR Coastal Plain (The Oil and Gas Resource Potential of the Arctic National Wildlife Refuge 1002 Area, Alaska, Open File Report 98-34, 1999) provided basic information used in this study. A prior assessment was completed in 1987 by the USGS.

  7. Potential Oil Production from the Coastal Plain of the Arctic National

    U.S. Energy Information Administration (EIA) Indexed Site

    Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment Executive Summary This Service Report, Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment, was prepared for the U.S. Senate Committee on Energy and Natural Resources at the request of Chairman Frank H. Murkowski in a letter dated March 10, 2000. The request asked the Energy Information

  8. Potential Oil Production from the Coastal Plain of the Arctic National

    U.S. Energy Information Administration (EIA) Indexed Site

    Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment Preface Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment is a product of the Energy Information Administration’s (EIA) Reserves and Production Division. EIA, under various programs, has assessed foreign and domestic oil and gas resources, reserves, and production potential. As a policy-neutral

  9. Potential Oil Production from the Coastal Plain of the Arctic National

    U.S. Energy Information Administration (EIA) Indexed Site

    Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment References Energy Information Administration, Annual Energy Outlook 2000, DOE/EIA-0383(2000) (Washington, DC, December 1999), Table A11. Energy Information Administration, Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge, SR/RNGD/87-01 (Washington, DC, September 1987). U.S. Department of Interior, Arctic National

  10. Plains & Eastern Clean Line Project Proposal for New or Upgraded

    Energy Savers [EERE]

    Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 | Department of Energy Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the Energy Policy Act of 2005 PDF icon Plains & Eastern Clean Line Project Proposal for New or Upgraded Transmission Line Projects Under Section 1222 of the

  11. Modeling Incoherent Electron Cloud Effects

    SciTech Connect (OSTI)

    Vay, Jean-Luc; Benedetto, E.; Fischer, W.; Franchetti, G.; Ohmi, K.; Schulte, D.; Sonnad, K.; Tomas, R.; Vay, J.-L.; Zimmermann, F.; Rumolo, G.; Pivi, M.; Raubenheimer, T.

    2007-06-18

    Incoherent electron effects could seriously limit the beam lifetime in proton or ion storage rings, such as LHC, SPS, or RHIC, or blow up the vertical emittance of positron beams, e.g., at the B factories or in linear-collider damping rings. Different approaches to modeling these effects each have their own merits and drawbacks. We describe several simulation codes which simplify the descriptions of the beam-electron interaction and of the accelerator structure in various different ways, and present results for a toy model of the SPS. In addition, we present evidence that for positron beams the interplay of incoherent electron-cloud effects and synchrotron radiation can lead to a significant increase in vertical equilibrium emittance. The magnitude of a few incoherent e+e- scattering processes is also estimated. Options for future code development are reviewed.

  12. ARM - Midlatitude Continental Convective Clouds

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

    Jensen, Mike; Bartholomew, Mary Jane; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

    Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a variety of atmospheric conditions. Data from field campaigns with appropriate forcing descriptors have been traditionally used by modelers for evaluating and improving parameterization schemes.

  13. ARM - Midlatitude Continental Convective Clouds

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

    Jensen, Mike; Bartholomew, Mary Jane; Genio, Anthony Del; Giangrande, Scott; Kollias, Pavlos

    2012-01-19

    Convective processes play a critical role in the Earth's energy balance through the redistribution of heat and moisture in the atmosphere and their link to the hydrological cycle. Accurate representation of convective processes in numerical models is vital towards improving current and future simulations of Earths climate system. Despite improvements in computing power, current operational weather and global climate models are unable to resolve the natural temporal and spatial scales important to convective processes and therefore must turn to parameterization schemes to represent these processes. In turn, parameterization schemes in cloud-resolving models need to be evaluated for their generality and application to a variety of atmospheric conditions. Data from field campaigns with appropriate forcing descriptors have been traditionally used by modelers for evaluating and improving parameterization schemes.

  14. Photolysis rates in correlated overlapping cloud fields: Cloud-J 7.3c

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

    Prather, M. J.

    2015-08-14

    A new approach for modeling photolysis rates (J values) in atmospheres with fractional cloud cover has been developed and is implemented as Cloud-J – a multi-scattering eight-stream radiative transfer model for solar radiation based on Fast-J. Using observations of the vertical correlation of cloud layers, Cloud-J 7.3c provides a practical and accurate method for modeling atmospheric chemistry. The combination of the new maximum-correlated cloud groups with the integration over all cloud combinations by four quadrature atmospheres produces mean J values in an atmospheric column with root mean square (rms) errors of 4 % or less compared with 10–20 % errorsmore » using simpler approximations. Cloud-J is practical for chemistry–climate models, requiring only an average of 2.8 Fast-J calls per atmosphere vs. hundreds of calls with the correlated cloud groups, or 1 call with the simplest cloud approximations. Another improvement in modeling J values, the treatment of volatile organic compounds with pressure-dependent cross sections, is also incorporated into Cloud-J.« less

  15. Photolysis rates in correlated overlapping cloud fields: Cloud-J 7.3

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

    Prather, M. J.

    2015-05-27

    A new approach for modeling photolysis rates (J values) in atmospheres with fractional cloud cover has been developed and implemented as Cloud-J – a multi-scattering eight-stream radiative transfer model for solar radiation based on Fast-J. Using observed statistics for the vertical correlation of cloud layers, Cloud-J 7.3 provides a practical and accurate method for modeling atmospheric chemistry. The combination of the new maximum-correlated cloud groups with the integration over all cloud combinations represented by four quadrature atmospheres produces mean J values in an atmospheric column with root-mean-square errors of 4% or less compared with 10–20% errors using simpler approximations. Cloud-Jmore » is practical for chemistry-climate models, requiring only an average of 2.8 Fast-J calls per atmosphere, vs. hundreds of calls with the correlated cloud groups, or 1 call with the simplest cloud approximations. Another improvement in modeling J values, the treatment of volatile organic compounds with pressure-dependent cross sections is also incorporated into Cloud-J.« less

  16. STAR FORMATION AROUND SUPERGIANT SHELLS IN THE LARGE MAGELLANIC CLOUD

    SciTech Connect (OSTI)

    Book, Laura G.; Chu Youhua; Gruendl, Robert A.; Fukui, Yasuo

    2009-03-15

    We examine the recent star formation associated with four supergiant shells in the Large Magellanic Cloud (LMC): LMC 1, 4, 5, and 6, which have been shown to have simple expanding-shell structures. H II regions and OB associations are used to infer star formation in the last few Myr, while massive young stellar objects reveal the current ongoing star formation. Distributions of ionized H I and molecular components of the interstellar gas are compared with the sites of recent and current star formation to determine whether triggering has taken place. We find that a great majority of the current star formation has occurred in gravitationally unstable regions, and that evidence of triggered star formation is prevalent at both large and local scales.

  17. Evaluation of high-level clouds in cloud resolving model simulations with ARM and KWAJEX observations

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

    Liu, Zheng; Muhlbauer, Andreas; Ackerman, Thomas

    2015-11-05

    In this paper, we evaluate high-level clouds in a cloud resolving model during two convective cases, ARM9707 and KWAJEX. The simulated joint histograms of cloud occurrence and radar reflectivity compare well with cloud radar and satellite observations when using a two-moment microphysics scheme. However, simulations performed with a single moment microphysical scheme exhibit low biases of approximately 20 dB. During convective events, two-moment microphysical overestimate the amount of high-level cloud and one-moment microphysics precipitate too readily and underestimate the amount and height of high-level cloud. For ARM9707, persistent large positive biases in high-level cloud are found, which are not sensitivemore » to changes in ice particle fall velocity and ice nuclei number concentration in the two-moment microphysics. These biases are caused by biases in large-scale forcing and maintained by the periodic lateral boundary conditions. The combined effects include significant biases in high-level cloud amount, radiation, and high sensitivity of cloud amount to nudging time scale in both convective cases. The high sensitivity of high-level cloud amount to the thermodynamic nudging time scale suggests that thermodynamic nudging can be a powerful ‘‘tuning’’ parameter for the simulated cloud and radiation but should be applied with caution. The role of the periodic lateral boundary conditions in reinforcing the biases in cloud and radiation suggests that reducing the uncertainty in the large-scale forcing in high levels is important for similar convective cases and has far reaching implications for simulating high-level clouds in super-parameterized global climate models such as the multiscale modeling framework.« less

  18. ARM - Field Campaign - WB57 Midlatitude Cirrus Cloud Experiment...

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

    Plains Atmospheric Radiation Measurement Central Facility near Lamont, Oklahoma where a raft of active and passive remote sensors continuously operate. We requested flight hours...

  19. Parameterizing Size Distribution in Ice Clouds

    SciTech Connect (OSTI)

    DeSlover, Daniel; Mitchell, David L.

    2009-09-25

    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.

  20. ARM - Journal Articles 2008

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

    ... An evaluation of operational GOES-derived single-layer cloud top heights with ARSCL data over the ARM Southern Great Plains Site (Citation) Geophysical Research Letters ARM Dupont ...

  1. ARM - Campaign Instrument - ircc

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

    Download Data North Slope Alaska, 2012.07.16 - 2014.07.31 IR Cloud Camera Feasibility Study Download Data Southern Great Plains, 2010.12.06 - 2010.12.13 Primary...

  2. ARM - Campaign Instrument - pdlidar

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

    Download Data North Slope Alaska, 2004.09.01 - 2004.10.21 Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1994.04.01 - 1994.05.31...

  3. ARM - Campaign Instrument - citation

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

    Download Data North Slope Alaska, 2004.09.27 - 2004.10.21 Remote Cloud Sensing (RCS) Field Evaluation Download Data Southern Great Plains, 1994.04.01 - 1994.05.31...

  4. Section 40

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

    5 Modeling the Surface Energy Balance and Soil Moisture at the Atmospheric Radiation Measurement Cloud and Radiation Testbed in the U.S. Southern Great Plains J.C. Liljegren, J.C....

  5. ARM - Campaign Instrument - spec-learjet

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

    Aerosols, Airborne Observations, Cloud Properties Campaigns In Situ Support of the ARM UAV Fall 2002 Mission Download Data Southern Great Plains, 2002.11.03 - 2002.11.23...

  6. Section 23

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

    GOESAERI Retrievals W. F. Feltz, W. L. Smith, R. O. Knuteson, H. E. Revercomb, H. Woolf ... Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site (Smith et al. 1995). ...

  7. Cloud radar Doppler spectra in drizzling stratiform clouds: 1. Forward modeling and remote sensing applications

    SciTech Connect (OSTI)

    Kollias, P.; Luke, E.; Rmillard, J.; Szyrmer, W.

    2011-07-02

    Several aspects of spectral broadening and drizzle growth in shallow liquid clouds remain not well understood. Detailed, cloud-scale observations of microphysics and dynamics are essential to guide and evaluate corresponding modeling efforts. Profiling, millimeter-wavelength (cloud) radars can provide such observations. In particular, the first three moments of the recorded cloud radar Doppler spectra, the radar reflectivity, mean Doppler velocity, and spectrum width, are often used to retrieve cloud microphysical and dynamical properties. Such retrievals are subject to errors introduced by the assumptions made in the inversion process. Here, we introduce two additional morphological parameters of the radar Doppler spectrum, the skewness and kurtosis, in an effort to reduce the retrieval uncertainties. A forward model that emulates observed radar Doppler spectra is constructed and used to investigate these relationships. General, analytical relationships that relate the five radar observables to cloud and drizzle microphysical parameters and cloud turbulence are presented. The relationships are valid for cloud-only, cloud mixed with drizzle, and drizzle-only particles in the radar sampling volume and provide a seamless link between observations and cloud microphysics and dynamics. The sensitivity of the five observed parameters to the radar operational parameters such as signal-to-noise ratio and Doppler spectra velocity resolution are presented. The predicted values of the five observed radar parameters agree well with the output of the forward model. The novel use of the skewness of the radar Doppler spectrum as an early qualitative predictor of drizzle onset in clouds is introduced. It is found that skewness is a parameter very sensitive to early drizzle generation. In addition, the significance of the five parameters of the cloud radar Doppler spectrum for constraining drizzle microphysical retrievals is discussed.

  8. HPC CLOUD APPLIED TO LATTICE OPTIMIZATION

    SciTech Connect (OSTI)

    Sun, Changchun; Nishimura, Hiroshi; James, Susan; Song, Kai; Muriki, Krishna; Qin, Yong

    2011-03-18

    As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon's new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

  9. Posters Sensitivity of Cirrus Cloud Radiative

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

    ... Takahashi, T., and K. Kuhara. 1993. Precipitation mechanisms of cumulonimbus clouds at Pohnpei, Micronesia. Meteor. Soc. Japan 71:21-31. Takano, Y., and K. N. Liou. 1989. Radiative ...

  10. Layered Atlantic Smoke Interactions with Clouds

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

    and atmospheric proIling, researchers will measure clouds, aerosol particles, and radiant energy. 7e ARM Facility, a national scientiIc user facility managed by the U.S. ...

  11. Developing and Evaluating Ice Cloud Parameterizations by

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

    by remote sensing is that the transfer functions which relate the observables (e. g., radar Doppler spectrum) to cloud properties (e. g., ice water content, or IWC) are not...

  12. ARM - Field Campaign - Midlatitude Continental Convective Clouds...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency...

  13. ARM - Field Campaign - Boundary Layer Cloud IOP

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

    govCampaignsBoundary Layer Cloud IOP Campaign Links Campaign Images ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

  14. ARM - Field Campaign - Arctic Cloud Infrared Imaging

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Arctic Cloud Infrared Imaging 2012.07.16 - 2014.07.31 Lead Scientist : Joseph Shaw...

  15. QER- Comment of Cloud Peak Energy Inc

    Broader source: Energy.gov [DOE]

    Dear Ms Pickett Please find attached comments from Cloud Peak Energy as input to the Department of Energy’s Quadrennial Energy Review. If possible I would appreciate a confirmation that this email has been received Thank you.

  16. Building a private cloud with Open Nebula

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

    Short Ryan Glenn Ross Nordeen Mentors: Andree Jacobson ISTI-OFF David Kennel DCS-1 LA-UR 10-05197 Why use Virtualized Cloud Computing for HPC? * Support Legacy Software Stacks *...

  17. RACORO continental boundary layer cloud investigations. 2. Large-eddy

    Office of Scientific and Technical Information (OSTI)

    simulations of cumulus clouds and evaluation with in-situ and ground-based observations (Journal Article) | SciTech Connect RACORO continental boundary layer cloud investigations. 2. Large-eddy simulations of cumulus clouds and evaluation with in-situ and ground-based observations Citation Details In-Document Search This content will become publicly available on June 19, 2016 Title: RACORO continental boundary layer cloud investigations. 2. Large-eddy simulations of cumulus clouds and

  18. Cloud Property Retrieval Products for Graciosa Island, Azores (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Data Explorer Search Results Cloud Property Retrieval Products for Graciosa Island, Azores Title: Cloud Property Retrieval Products for Graciosa Island, Azores 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

  19. Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Data Explorer Search Results Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Title: Cloud-Scale Vertical Velocity and Turbulent Dissipation Rate Retrievals Time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of

  20. ARM - Publications: Science Team Meeting Documents: Day and Night cloud

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

    fraction - Cloud Inter-Compariosn IOP results Day and Night cloud fraction - Cloud Inter-Compariosn IOP results Genkova, Iliana University of Illinois-Champaign Long, Chuck Pacific Northwest National Laboratory Turner, David Pacific Northwest National Laboratory We present results from the CIC IOP from March-may, 2003. Day time and night time cloud fraction retrieval algorithms have been presented and intercompared. Amount of low, middle and high cloud have been estimated and compared to

  1. Ignition of Aluminum Particles and Clouds

    SciTech Connect (OSTI)

    Kuhl, A L; Boiko, V M

    2010-04-07

    Here we review experimental data and models of the ignition of aluminum (Al) particles and clouds in explosion fields. The review considers: (i) ignition temperatures measured for single Al particles in torch experiments; (ii) thermal explosion models of the ignition of single Al particles; and (iii) the unsteady ignition Al particles clouds in reflected shock environments. These are used to develop an empirical ignition model appropriate for numerical simulations of Al particle combustion in shock dispersed fuel explosions.

  2. Electron-Cloud Build-Up: Summary

    SciTech Connect (OSTI)

    Furman, M.A.

    2007-06-18

    I present a summary of topics relevant to the electron-cloud build-up and dissipation that were presented at the International Workshop on Electron-Cloud Effects 'ECLOUD 07' (Daegu, S. Korea, April 9-12, 2007). This summary is not meant to be a comprehensive review of the talks. Rather, I focus on those developments that I found, in my personal opinion, especially interesting. The contributions, all excellent, are posted in http://chep.knu.ac.kr/ecloud07/.

  3. ARM Cloud Properties Working Group: Meeting Logistics

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

    Cloud Properties WG Breakout Session 2008 ARM Science Team Meeting Mar. 10, 2008, Norfolk, VA Monday March 10, 2008 1500 to 1515: R. Hogan - A Proposal for ARM support of Cloudnet Activities 1515 to 1530: M. Jensen - Cloud Properties Value- Added Product Development 1530 to 1545: C. Long - Instrument Group Report 1545 to 1600: S. Matrosov - WSR-88D data for ARM science 1600 to 1615: Y. Zhao - A BimodalParticle Distribution Assumption in Cirrus: Comparison of retrieval results with in situ

  4. Science on the Hill: Methane cloud hunting

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

    Methane cloud hunting Science on the Hill: Methane cloud hunting Los Alamos researchers go hunting for methane gas over the Four Corners area of northwest New Mexico and find a strange daily pattern. July 12, 2015 methane map Methane, the primary component of natural gas, is also a potent greenhouse gas, trapping energy in the atmosphere. Last year NASA released satellite images showing a hot spot in the area where New Mexico, Colorado, Utah and Arizona meet, prompting scientists to go in search

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

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

    Micropulse lidar cloud base frequency. A One-Year Cloud Climatology Using Data from the Southern Great Plains (SGP) Site Micropulse Lidar G. G. Mace and T. P. Ackerman Penn State University, Department of Meteorology University Park, Pennsylvania J. Spinhirne and S. Scott NASA Goddard Space Flight Center Greenbelt, Maryland Data Acquisition and Analysis The micropulse lidar (MPL) has been operational at the Southern Great Plains site of the Atmospheric Radiation Measurement Program for the past

  6. X:\ARM_19~1\P283-315.WPD

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

    10 W m 2 ±5% ±20 W m 2 . 5 10Wm 2 Session Papers 301 Aspects of the Quality of Data from the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Site Broadband Radiation Sensors M. E. Splitt University of Oklahoma Norman, Oklahoma M. L. Wesely Argonne National Laboratory Argonne, Illinois A systematic evaluation of the performance of broadband In this paper, suggested uncertainty values correspond to radiometers at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART)

  7. X:\ARM_19~1\PGS19-27.WPD

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

    W 98 W, Session Papers 23 Figure 1. The NOAA wind profiler demonstration network and the sounding sites during the ARM June 1993 IOP. Analytical Study of the Effects of the Low-Level Jet on Moisture Convergence and Vertical Motion Fields at the Southern Great Plains Cloud and Radiation Testbed Site X. Bian, S. Zhong, C. D. Whiteman, and S. A. Stage Pacific Northwest National Laboratory Richland, Washington Introduction The Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Cloud

  8. Section 120

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

    Platt r Platt r e r Platt r e r Platt Session Papers 543 Verification of Cirrus Cloud Parameterizations Using Southern Great Plains Data D. A. Sovchik and T. P. Ackerman Pennsylvania State University University Park, Pennsylvania G. G. Mace University of Utah Salt Lake City, Utah Introduction An evaluation of several diagnostic cirrus cloud parameteriza- tions is presented in this study using data from the Department of Energy's Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP)

  9. Section 98

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

    3 Site Trivia from the Southern Great Plains Cloud and Radiation Testbed Site D. L. Sisterson Environmental Research Division Argonne National Laboratory Argonne, Illinois Introduction The purpose and existence of the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Site is to provide Atmospheric Radiation Measurement (ARM) Program scientists with data streams they need in order to meet the U.S. Department of Energy's goal of improving the performance of general circulation models

  10. ARM - Data Announcements Article

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

    Evaluation Value-Added Product Estimates Droplet Number Concentration Bookmark and Share Adiabaticity parameter and quality check flags for August 15, 2010, at the Southern Great Plains. Adiabaticity parameter and quality check flags for August 15, 2010, at the Southern Great Plains. Cloud droplet number concentration is an important factor in understanding aerosol-cloud interactions. As aerosol concentration increases, it is expected that droplet number concentration, Nd, will increase and

  11. 1

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

    Statistical Formulations of Cloud Inhomegeneity Parameters Over the Southern Great Plains Z. N. Kogan, Y. L. Kogan, and D. Mechem Cooperative Institute of Mesoscale Meteorogical Studies University of Oklahoma Norman, Oklahoma Introduction Lack of data on cloud variability is one of the main reasons most current climate models consider clouds as plane-parallel, horizontally homogeneous combinations of cloudy and clear portions defined by cloud fraction. Accounting for cloud inhomogeneity should

  12. X:\ARM_19~1\PGS1-8.WPD

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

    Boundary-Layer Cloud Study Using Southern Great Plains Cloud and Radiation Testbed (CART) Data B. Albrecht, G. Mace, X. Dong, W. Syrett, and T. Ackerman Pennsylvania State University, Department of Meteorology University Park, Pennsylvania Introduction Boundary layer clouds-stratus and fairweather cumulus- are closely coupled to the water and energy budgets of land surfaces. This coupling involves the radiative impact of the clouds on the surface energy budget and the strong dependence of cloud

  13. Star formation relations in nearby molecular clouds

    SciTech Connect (OSTI)

    Evans, Neal J. II; Heiderman, Amanda; Vutisalchavakul, Nalin

    2014-02-20

    We test some ideas for star formation relations against data on local molecular clouds. On a cloud by cloud basis, the relation between the surface density of star formation rate and surface density of gas divided by a free-fall time, calculated from the mean cloud density, shows no significant correlation. If a crossing time is substituted for the free-fall time, there is even less correlation. Within a cloud, the star formation rate volume and surface densities increase rapidly with the corresponding gas densities, faster than predicted by models using the free-fall time defined from the local density. A model in which the star formation rate depends linearly on the mass of gas above a visual extinction of 8 mag describes the data on these clouds, with very low dispersion. The data on regions of very massive star formation, with improved star formation rates based on free-free emission from ionized gas, also agree with this linear relation.

  14. Geochemical characterization of geothermal systems in the Great...

    Open Energy Info (EERE)

    Basin. Development of this database is one of the first steps in understanding the nature of geothermal systems in the Great Basin. Of particular importance in the Great Basin...

  15. JW Great Lakes Wind LLC | Open Energy Information

    Open Energy Info (EERE)

    JW Great Lakes Wind LLC Jump to: navigation, search Name: JW Great Lakes Wind LLC Place: Cleveland, Ohio Zip: 44114-4420 Sector: Wind energy Product: Ohio based subsidiary of Juwi...

  16. Great Lakes Water Scarcity and Regional Economic Development

    ScienceCinema (OSTI)

    Cameron Davis; Tim Eder; David Ulrich; David Naftzger; Donald J. Wuebbles; Mark C. Petri

    2013-06-06

    Great Lakes Water Scarcity and Regional Economic Development panel at Northwestern University on 10/10/2012

  17. Great Lakes Water Scarcity and Regional Economic Development

    SciTech Connect (OSTI)

    Cameron Davis; Tim Eder; David Ulrich; David Naftzger; Donald J. Wuebbles; Mark C. Petri

    2012-10-10

    Great Lakes Water Scarcity and Regional Economic Development panel at Northwestern University on 10/10/2012

  18. Derivation of Seasonal Cloud Properties at ARM-NSA from Multispectral...

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

    In this paper, the operational Clouds and the Earth's Radiant Energy System (CERES) cloud ... In Clouds and the Earth's Radiant Energy System (CERES) Algorithm Theoretical Basis ...

  19. Potential Oil Production from the Coastal Plain of the Arctic National

    U.S. Energy Information Administration (EIA) Indexed Site

    Wildlife Refuge: Updated Assessment Potential Oil Production from the Coastal Plain of the Arctic National Wildlife Refuge: Updated Assessment 1. Overview of the Arctic National Wildlife Refuge Background The Arctic National Wildlife Refuge (ANWR) 1002 Area of the Alaska North Slope represents an area of 1.5 million acres. The ANWR Coastal Plain Area includes the 1002 Area, State of Alaska lands to the 3-mile limit from the coast line, and approximately 92,000 acres of Native Inupiat lands.

  20. Magellan: experiences from a Science Cloud

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Zbiegel, Piotr; Campbell, Scott; Bradshaw, Rick; Canon, Richard; Coghlan, Susan; Sakrejda, Iwona; Desai, Narayan; Declerck, Tina; Liu, Anping

    2011-02-02

    Cloud resources promise to be an avenue to address new categories of scientific applications including data-intensive science applications, on-demand/surge computing, and applications that require customized software environments. However, there is a limited understanding on how to operate and use clouds for scientific applications. Magellan, a project funded through the Department of Energy?s (DOE) Advanced Scientific Computing Research (ASCR) program, is investigating the use of cloud computing for science at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Facility (NERSC). In this paper, we detail the experiences to date at both sites and identify the gaps and open challenges from both a resource provider as well as application perspective.

  1. Cloud-based Architecture Capabilities Summary Report

    SciTech Connect (OSTI)

    Vang, Leng; Prescott, Steven R; Smith, Curtis

    2014-09-01

    In collaborating scientific research arena it is important to have an environment where analysts have access to a shared of information documents, software tools and be able to accurately maintain and track historical changes in models. A new cloud-based environment would be accessible remotely from anywhere regardless of computing platforms given that the platform has available of Internet access and proper browser capabilities. Information stored at this environment would be restricted based on user assigned credentials. This report reviews development of a Cloud-based Architecture Capabilities (CAC) as a web portal for PRA tools.

  2. Temperature, Water Vapor, and Clouds"

    Office of Scientific and Technical Information (OSTI)

    on "Microwave and Millimeter-Wave Radiometric Studies of Temperature, Water Vapor, and Clouds" Project ID: 0011106 Program Managers: Kirankumar V. Alapaty Phone: 301-903-3175 Division: SC-23.3 and Wanda R. Ferrell Phone: 301-903-0043 Division: SC-23.3 PI: Edgeworth R. Westwater Award Register#: ER640150011106 Overview of Project The importance of accurate measurements of column amounts of water vapor and cloud liquid has been well documented by scientists within the Atmospheric

  3. ARM - Field Campaign - Thin Cloud Rotating Shadowband Radiometer

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

    Thin Cloud Rotating Shadowband Radiometer 2008.01.08 - 2008.07.18 Lead Scientist : Mary Jane Bartholomew For data sets, see below. Abstract The Thin-Cloud Rotating Shadowband...

  4. Analysis of In situ Observations of Cloud Microphysics from M...

    Office of Scientific and Technical Information (OSTI)

    Cloud Microphysics from M-PACE Final Report, DOE Grant Agreement No. DE-FG02-06ER64168 Citation Details In-Document Search Title: Analysis of In situ Observations of Cloud ...

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

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

    A TWP-ICE High-Level Cloud Case Study Mace, Gerald University of Utah Category: Field Campaigns The Tropical Warm Pool International Cloud Experiment (TWP ICE) was conducted near...

  6. Microsoft Word - Group3Cloud Properties(RS).docx

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

    ... for (a) column clouds and (b) circle clouds. 2.0 References Clothiaux, EE, TP Ackerman, GG Mace, KP Moran, RT Marchand, MA Miller, and BE Martner. 2000. "Objective determination ...

  7. ARM - Evaluation Product - ARM Cloud Retrieval Ensemble Data

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

    to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : ARM Cloud Retrieval Ensemble Data The ARM Cloud Retrieval Ensemble Data (ACRED) set...

  8. ARM - PI Product - Cloud Properties and Radiative Heating Rates...

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

    love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Cloud Properties and Radiative Heating Rates for TWP A cloud properties and...

  9. E-Cloud Build-up in Grooved Chambers

    SciTech Connect (OSTI)

    Venturini, Marco

    2007-05-01

    We simulate electron cloud build-up in a grooved vacuumchamber including the effect of space charge from the electrons. Weidentify conditions for e-cloud suppression and make contact withprevious estimates of an effective secondary electron yield for groovedsurfaces.

  10. Biogenic Aerosols„Effects on Clouds and Climate (BAECC)

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

    Biogenic Aerosols-Effects on Clouds and Climate (BAECC) Final Campaign Summary T Petj ... DOESC-ARM-15-051 Biogenic Aerosols-Effects on Clouds and Climate (BAECC) Final Campaign ...

  11. ARM - Field Campaign - Marine ARM GPCI Investigations of Clouds...

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Marine ARM GPCI Investigations of Clouds (MAGIC): Cloud Properties from Zenith...

  12. ARM - Field Campaign - Biogenic Aerosols - Effects on Clouds...

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

    Climate Campaign Links BAECC Website ARM Data Discovery Browse Data Related Campaigns Biogenic Aerosols - Effects on Clouds and Climate: Cloud OD Sensor TWST 2014.06.15, Scott, AMF...

  13. Simulation of E-Cloud Driven Instability And Its Attenuation...

    Office of Scientific and Technical Information (OSTI)

    Simulation of E-Cloud Driven Instability And Its Attenuation Using a Feedback System in the CERN SPS Citation Details In-Document Search Title: Simulation of E-Cloud Driven ...

  14. The relationship between interannual and long-term cloud feedbacks

    SciTech Connect (OSTI)

    Zhou, Chen; Zelinka, Mark D.; Dessler, Andrew E.; Klein, Stephen A.

    2015-12-11

    The analyses of Coupled Model Intercomparison Project phase 5 simulations suggest that climate models with more positive cloud feedback in response to interannual climate fluctuations also have more positive cloud feedback in response to long-term global warming. Ensemble mean vertical profiles of cloud change in response to interannual and long-term surface warming are similar, and the ensemble mean cloud feedback is positive on both timescales. However, the average long-term cloud feedback is smaller than the interannual cloud feedback, likely due to differences in surface warming pattern on the two timescales. Low cloud cover (LCC) change in response to interannual and long-term global surface warming is found to be well correlated across models and explains over half of the covariance between interannual and long-term cloud feedback. In conclusion, the intermodel correlation of LCC across timescales likely results from model-specific sensitivities of LCC to sea surface warming.

  15. Comparison of Cloud Top Height and Optical Depth Histograms from...

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

    and is not sensitive to the sensor calibration. The technique does, however, require finding the same cloud-top features in multiple views of the same cloud scene. The MODIS...

  16. Simulation of E-Cloud Driven Instability And Its Attenuation...

    Office of Scientific and Technical Information (OSTI)

    of E-Cloud Driven Instability And Its Attenuation Using a Feedback System in the CERN SPS Citation Details In-Document Search Title: Simulation of E-Cloud Driven Instability...

  17. Lithium In Tufas Of The Great Basin- Exploration Implications...

    Open Energy Info (EERE)

    In Tufas Of The Great Basin- Exploration Implications For Geothermal Energy And Lithium Resources Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference...

  18. Great China New Energy Technology Services Co Ltd GCNETS | Open...

    Open Energy Info (EERE)

    New Energy Technology Services Co Ltd GCNETS Jump to: navigation, search Name: Great China New Energy Technology Services Co Ltd (GCNETS) Place: China Product: China-based...

  19. North Great River, New York: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Great River, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.756272, -73.170087 Show Map Loading map... "minzoom":false,"mappingse...

  20. Great River, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Great River, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.7212097, -73.1576139 Show Map Loading map... "minzoom":false,"mapping...

  1. Great Bend, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Great Bend, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.1538473, -96.8020228 Show Map Loading map... "minzoom":false,"mapp...

  2. Lanzhou Great Wall Development Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    Wall Development Co Ltd Jump to: navigation, search Name: Lanzhou Great Wall Development Co., Ltd. Place: Lanzhou, Gansu Province, China Zip: 730000 Sector: Hydro Product:...

  3. Great Basin College Direct Use Geothermal Demonstration Project

    SciTech Connect (OSTI)

    Rice, John

    2014-10-21

    This is the final technical report for the Great Basin College Direct Use Geothermal Demonstrationn Project, outlining the technical aspects of the User Group System.

  4. The Great Lakes Insitute for Energy Innovation | Open Energy...

    Open Energy Info (EERE)

    Insitute for Energy Innovation Jump to: navigation, search Name: The Great Lakes Insitute for Energy Innovation Place: Cleveland, Ohio Zip: 44106 Website: energy.case.edu...

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

    SciTech Connect (OSTI)

    Wang, Zhien

    2010-06-29

    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.

  6. Plains & Eastern Clean Line Transmission Line- Part 2 Application: Comments Received on the Updated Application

    Broader source: Energy.gov [DOE]

    In December 2014, DOE requested additional information from Clean Line Energy Partners, LLC to supplement and update its original Plains and Eastern Clean Line application. The updated Part 2 application and other documentation were available for a public comment period that closed on July 13, 2015. Comments were posted as they were received.

  7. Technical Sessions Parameterization of Convective Clouds, Mesoscale Convective Systems,

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

    Parameterization of Convective Clouds, Mesoscale Convective Systems, and Convective-Generated Clouds W. R. Cotton Department of Atmospheric Science Colorado State University Fort Collins, CO 80523 This presentation is a summary of research progress supported under the Atmospheric Radiation Measurement (ARM) project entitled "Parameterization of Convective Clouds, Mesoscale Convective Systems, and Con'o'ective-Generated Clouds." The approach used in this research is to perform explicit

  8. To the Cloud! Apidae Helps Modelers Turn Information into Knowledge |

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

    Department of Energy To the Cloud! Apidae Helps Modelers Turn Information into Knowledge To the Cloud! Apidae Helps Modelers Turn Information into Knowledge October 26, 2015 - 2:41pm Addthis Apidae is a collection of cloud-based simulation and data analysis tools that help modelers better understand their models. Image credit: BUILDlab. Apidae is a collection of cloud-based simulation and data analysis tools that help modelers better understand their models. Image credit: BUILDlab. Apidae

  9. Understanding the Effect of Aerosol Properties on Cloud Droplet Formation

    Office of Scientific and Technical Information (OSTI)

    during TCAP Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Understanding the Effect of Aerosol Properties on Cloud Droplet Formation during TCAP Field Campaign Report Citation Details In-Document Search Title: Understanding the Effect of Aerosol Properties on Cloud Droplet Formation during TCAP Field Campaign Report The formation of clouds is an essential element in understanding the Earth's radiative budget. Liquid water clouds

  10. LES Modeling of High Resolution Satellite Cloud Spatial and Thermal

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

    Structure at ARM-SGP site: How well can we Simulate Clouds from Space? LES Modeling of High Resolution Satellite Cloud Spatial and Thermal Structure at ARM-SGP site: How well can we Simulate Clouds from Space? Dubey, Manvendra DOE/Los Alamos National Laboratory Chylek, Petr DOE/Los Alamos National Laboratory Reisner, Jon Los Alamos National Laboratory Porch, William Los Alamos National Laboratory Category: Cloud Properties We report high fidelity observations of the spatial and thermal

  11. Direct Numerical Simulations and Robust Predictions of Cloud Cavitation

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

    Collapse | Argonne Leadership Computing Facility Initiation of cloud cavitation collapse for 50,000 bubbles Initiation of cloud cavitation collapse for 50,000 bubbles. Jonas Sukys, ETH Zurich Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name: Petros Koumoutsakos PI Email: petros@ethz.ch Institution: ETH Zurich Allocation Program: INCITE Allocation Hours at ALCF: 72 Million Year: 2016 Research Domain: Engineering Cloud cavitation collapse-the evolution

  12. Parameterizations of Cloud Microphysics and Indirect Aerosol Effects

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Parameterizations of Cloud Microphysics and Indirect Aerosol Effects Citation Details In-Document Search Title: Parameterizations of Cloud Microphysics and Indirect Aerosol Effects 1. OVERVIEW Aerosols and especially their effect on clouds are one of the key components of the climate system and the hydrological cycle [Ramanathan et al., 2001]. Yet, the aerosol effect on clouds remains largely unknown and the processes involved not well understood. A

  13. MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary Citation Details In-Document Search Title: MAGIC Cloud Properties from Zenith Radiance Data Final Campaign Summary Cloud droplet size and optical depth are the most fundamental properties for understanding cloud formation, dissipation and interactions with aerosol and drizzle. They are also a crucial determinant of Earth's radiative and water-energy balances. However, these properties

  14. STORMVEX. Ice Nuclei and Cloud Condensation Nuclei Characterization Field

    Office of Scientific and Technical Information (OSTI)

    Campaign Report (Technical Report) | SciTech Connect STORMVEX. Ice Nuclei and Cloud Condensation Nuclei Characterization Field Campaign Report Citation Details In-Document Search Title: STORMVEX. Ice Nuclei and Cloud Condensation Nuclei Characterization Field Campaign Report The relationship between aerosol particles and the formation of clouds is among the most uncertain aspects in our current understanding of climate change. Warm clouds have been the most extensively studied, in large part

  15. Model of E-Cloud Instability in the Fermilab Recycler

    SciTech Connect (OSTI)

    Balbekov, V.

    2015-06-24

    Simple model of electron cloud is developed in the paper to explain e-cloud instability of bunched proton beam in the Fermilab Recycler. The cloud is presented as an immobile snake in strong vertical magnetic field. The instability is treated as an amplification of the bunch injection errors from the batch head to its tail. Nonlinearity of the e-cloud field is taken into account. Results of calculations are compared with experimental data demonstrating good correlation.

  16. Satellite determination of stratus cloud microphysical properties (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect Satellite determination of stratus cloud microphysical properties Citation Details In-Document Search Title: Satellite determination of stratus cloud microphysical properties Satellite measurements of liquid water path from SSM/I, broadband albedo from ERBE, and cloud characteristics from ISCCP are used to study stratus regions. An average cloud liquid water path of 0.120{+-}0.032 kg m{sup {minus}2} is derived by dividing the average liquid water path for stratus

  17. Determining Best Estimates and Uncertainties in Cloud Microphysical

    Office of Scientific and Technical Information (OSTI)

    Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions (Technical Report) | SciTech Connect Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions Citation Details In-Document Search Title: Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for

  18. Vertical Velocities in Continental Boundary Layer Stratocumulus Clouds

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

    Boundary Layer Stratocumulus Clouds Virendra Ghate Bruce Albrecht and Pavlos Kollias Why BL Stratocumulus?? * Extensive Coverage - Cover ~24% of earth's surface - Persist of long time-scales * Impact on radiation budget - High SW albedo compared to land or ocean Klein and Hartmann 1993 But Why Continental Clouds? * They do exist - Monthly cloud fraction can vary from 10% to 23% * Impact on pollution & Diurnal Cycle - Affect pollutant venting out of BL & Aerosol processing by clouds *

  19. ARSCL Cloud Statistics - A Value-Added Product

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

    ARSCL Cloud Statistics - A Value-Added Product Y. Shi Pacific Northwest National Laboratory Richland, Washington M. A. Miller Brookhaven National Laboratory Upton, New York Introduction The active remote sensing of cloud layers (ARSCLs) value-added product (VAP) combines data from active remote sensors to produce an objective determination of cloud location, radar reflectivity, vertical velocity, and Doppler spectral width. Information about the liquid water path (LWP) in these clouds and the

  20. Toward Understanding of Differences in Current Cloud Retrievals of ARM

    Office of Scientific and Technical Information (OSTI)

    Ground-based Measurements (Journal Article) | SciTech Connect Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements Citation Details In-Document Search Title: Toward Understanding of Differences in Current Cloud Retrievals of ARM Ground-based Measurements Accurate observations of cloud microphysical properties are needed for evaluating and improving the representation of cloud processes in climate models. However, large differences are found in

  1. 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.

  2. Cloud Property Retrieval Products for Graciosa Island, Azores

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

    Dong, Xiquan

    2014-05-05

    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.

  3. Utilizing CLASIC observations and multiscale models to study the impact of improved Land surface representation on modeling cloud- convection

    SciTech Connect (OSTI)

    Niyogi, Devdutta S.

    2013-06-07

    The CLASIC experiment was conducted over the US southern great plains (SGP) in June 2007 with an objective to lead an enhanced understanding of the cumulus convection particularly as it relates to land surface conditions. This project was design to help assist with understanding the overall improvement of land atmosphere convection initiation representation of which is important for global and regional models. The study helped address one of the critical documented deficiency in the models central to the ARM objectives for cumulus convection initiation and particularly under summer time conditions. This project was guided by the scientific question building on the CLASIC theme questions: What is the effect of improved land surface representation on the ability of coupled models to simulate cumulus and convection initiation? The focus was on the US Southern Great Plains region. Since the CLASIC period was anomalously wet the strategy has been to use other periods and domains to develop the comparative assessment for the CLASIC data period, and to understand the mechanisms of the anomalous wet conditions on the tropical systems and convection over land. The data periods include the IHOP 2002 field experiment that was over roughly same domain as the CLASIC in the SGP, and some of the DOE funded Ameriflux datasets.

  4. The Magellan Final Report on Cloud Computing

    SciTech Connect (OSTI)

    ,; Coghlan, Susan; Yelick, Katherine

    2011-12-21

    The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.

  5. The Tropical Warm Pool International Cloud Experiment

    SciTech Connect (OSTI)

    May, Peter T.; Mather, James H.; Vaughan, Geraint; Jakob, Christian; McFarquhar, Greg; Bower, Keith; Mace, Gerald G.

    2008-05-01

    One of the most complete data sets describing tropical convection ever collected will result from the upcoming Tropical Warm Pool International Cloud Experiment (TWP-ICE) in the area around Darwin, Northern Australia in January and February 2006. The aims of the experiment, which will be operated in conjunction with the DOE Atmospheric Radiation Measurement (ARM) site in Darwin, will be to examine convective cloud systems from their initial stages through to the decay of the cirrus generated and to measure their impact on the environment. The experiment will include an unprecedented network of ground-based observations (soundings, active and passive remote sensors) combined with low, mid and high altitude aircraft for in-situ and remote sensing measurements. A crucial outcome of the experiment will be a data set suitable to provide the forcing and evaluation data required by cloud resolving and single column models as well as global climate models (GCMs) with the aim to contribute to parameterization development. This data set will provide the necessary link between the observed cloud properties and the models that are attempting to simulate them. The experiment is a large multi-agency experiment including substantial contributions from the United States DOE ARM program, ARM-UAV program, NASA, the Australian Bureau of Meteorology, CSIRO, EU programs and many universities.

  6. Argonne's Magellan Cloud Computing Research Project

    ScienceCinema (OSTI)

    Beckman, Pete

    2013-04-19

    Pete Beckman, head of Argonne's Leadership Computing Facility (ALCF), discusses the Department of Energy's new $32-million Magellan project, which designed to test how cloud computing can be used for scientific research. More information: http://www.anl.gov/Media_Center/News/2009/news091014a.html

  7. Evaluation of high&#8208;level clouds in cloud resolving model simulations with ARM and KWAJEX observations

    Office of Scientific and Technical Information (OSTI)

    fflAGUPUBLICATIONS Journal of Advances in Modeling Earth Systems RESEARCH ARTICLE Evaluation of high-level clouds in cloud resolving model 10.1002/2015MS000478 simulations with ARM and KWAJEX observations Key Points: * Two-moment microphysics improves simulated radar reflectivity histograms * Simulated high cloud amount is not sensitive to uncertainties in tested ice microphysics * Forcing uncertainties and periodic lateral BC lead to bias in high cloud amount Correspondence to: Z. Liu,

  8. Biogenic Aerosols Effects on Climate and Clouds Cloud OD Sensor TWST

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

    4 Biogenic Aerosols - Effects on Climate and Clouds: Cloud Optical Depth (COD) Sensor Three-Waveband Spectrally-Agile Technique (TWST) Field Campaign Report ER Niple HE Scott April 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any

  9. Water clouds in Y dwarfs and exoplanets

    SciTech Connect (OSTI)

    Morley, Caroline V.; Fortney, Jonathan J.; Marley, Mark S.; Lupu, Roxana; Greene, Tom; Saumon, Didier; Lodders, Katharina

    2014-05-20

    The formation of clouds affects brown dwarf and planetary atmospheres of nearly all effective temperatures. Iron and silicate condense in L dwarf atmospheres and dissipate at the L/T transition. Minor species such as sulfides and salts condense in mid- to late T dwarfs. For brown dwarfs below T {sub eff} ? 450 K, water condenses in the upper atmosphere to form ice clouds. Currently, over a dozen objects in this temperature range have been discovered, and few previous theoretical studies have addressed the effect of water clouds on brown dwarf or exoplanetary spectra. Here we present a new grid of models that include the effect of water cloud opacity. We find that they become optically thick in objects below T {sub eff} ? 350-375 K. Unlike refractory cloud materials, water-ice particles are significantly nongray absorbers; they predominantly scatter at optical wavelengths through the J band and absorb in the infrared with prominent features, the strongest of which is at 2.8 ?m. H{sub 2}O, NH{sub 3}, CH{sub 4}, and H{sub 2} CIA are dominant opacity sources; less abundant species may also be detectable, including the alkalis, H{sub 2}S, and PH{sub 3}. PH{sub 3}, which has been detected in Jupiter, is expected to have a strong signature in the mid-infrared at 4.3 ?m in Y dwarfs around T {sub eff} = 450 K; if disequilibrium chemistry increases the abundance of PH{sub 3}, it may be detectable over a wider effective temperature range than models predict. We show results incorporating disequilibrium nitrogen and carbon chemistry and predict signatures of low gravity in planetary mass objects. Finally, we make predictions for the observability of Y dwarfs and planets with existing and future instruments, including the James Webb Space Telescope and Gemini Planet Imager.

  10. CloudSat as a Global Radar Calibrator

    SciTech Connect (OSTI)

    Protat, Alain; Bouniol, Dominique; O'Connor, E. J.; Baltink, Henk K.; Verlinde, J.; Widener, Kevin B.

    2011-03-01

    The calibration of the CloudSat spaceborne cloud radar has been thoroughly assessed using very accurate internal link budgets before launch, comparisons with predicted ocean surface backscatter at 94 GHz, direct comparisons with airborne cloud radars, and statistical comparisons with ground-based cloud radars at different locations of the world. It is believed that the calibration of CloudSat is accurate to within 0.5 to 1 dB. In the present paper it is shown that an approach similar to that used for the statistical comparisons with ground-based radars can now be adopted the other way around to calibrate other ground-based or airborne radars against CloudSat and / or detect anomalies in long time series of ground-based radar measurements, provided that the calibration of CloudSat is followed up closely (which is the case). The power of using CloudSat as a Global Radar Calibrator is demonstrated using the Atmospheric Radiation Measurement cloud radar data taken at Barrow, Alaska, the cloud radar data from the Cabauw site, The Netherlands, and airborne Doppler cloud radar measurements taken along the CloudSat track in the Arctic by the RASTA (Radar SysTem Airborne) cloud radar installed in the French ATR-42 aircraft for the first time. It is found that the Barrow radar data in 2008 are calibrated too high by 9.8 dB, while the Cabauw radar data in 2008 are calibrated too low by 8.0 dB. The calibration of the RASTA airborne cloud radar using direct comparisons with CloudSat agrees well with the expected gains and losses due to the change in configuration which required verification of the RASTA calibration.

  11. pCloud: A Cloud-based Power Market Simulation Environment

    SciTech Connect (OSTI)

    Rudkevich, Aleksandr; Goldis, Evgeniy

    2012-12-02

    This research conducted by the Newton Energy Group, LLC (NEG) is dedicated to the development of pCloud: a Cloud-based Power Market Simulation Environment. pCloud is offering power industry stakeholders the capability to model electricity markets and is organized around the Software as a Service (SaaS) concept -- a software application delivery model in which software is centrally hosted and provided to many users via the internet. During the Phase I of this project NEG developed a prototype design for pCloud as a SaaS-based commercial service offering, system architecture supporting that design, ensured feasibility of key architecture's elements, formed technological partnerships and negotiated commercial agreements with partners, conducted market research and other related activities and secured funding for continue development of pCloud between the end of Phase I and beginning of Phase II, if awarded. Based on the results of Phase I activities, NEG has established that the development of a cloud-based power market simulation environment within the Windows Azure platform is technologically feasible, can be accomplished within the budget and timeframe available through the Phase II SBIR award with additional external funding. NEG believes that pCloud has the potential to become a game-changing technology for the modeling and analysis of electricity markets. This potential is due to the following critical advantages of pCloud over its competition: - Standardized access to advanced and proven power market simulators offered by third parties. - Automated parallelization of simulations and dynamic provisioning of computing resources on the cloud. This combination of automation and scalability dramatically reduces turn-around time while offering the capability to increase the number of analyzed scenarios by a factor of 10, 100 or even 1000. - Access to ready-to-use data and to cloud-based resources leading to a reduction in software, hardware, and IT costs. - Competitive pricing structure, which will make high-volume usage of simulation services affordable. - Availability and affordability of high quality power simulators, which presently only large corporate clients can afford, will level the playing field in developing regional energy policies, determining prudent cost recovery mechanisms and assuring just and reasonable rates to consumers. - Users that presently do not have the resources to internally maintain modeling capabilities will now be able to run simulations. This will invite more players into the industry, ultimately leading to more transparent and liquid power markets.

  12. Operation Greenhouse. Scientific Director's report of atomic-weapon tests at Eniwetok, 1951. Annex 4. 1. Cloud studies. Part 1. Cloud physics. Part 2. Development of the atomic cloud. Part 3. Cloud-tracking photography

    SciTech Connect (OSTI)

    Anderson, C.E.; Gustafson, P.E.; Kellogg, W.W.; McKown, R.E.; McPherson, D.E.

    1985-09-01

    The cloud-physics project was primarily intended to fulfill a requirements for detailed information on the meteorological microstructure of atomic clouds. By means of a tracking and photographic network extending halfway around Eniwetok Atoll, the behavior of the first three clouds of Operation Greenhouse were observed and recorded. The rise of the fourth cloud was observed visually from only one site. The analysis of these observations, combined with information about the local weather conditions, gives a fairly complete picture of the development of each of the clouds. Particular emphasis was placed on the earlier phases of development, and the heights and sizes of the cloud parts have been determined as functions of time. A summary of important features of some previous atomic clouds are included for comparison.

  13. lazarus-98.pdf

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

    3 A Cloud Climatology of the ARM CART Site S. M. Lazarus, S. K. Krueger, and G. G. Mace University of Utah Salt Lake City, Utah Introduction The Atmospheric Radiation and Measurement (ARM) Pro- gram (Stokes and Schwartz 1994) Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) is host to a bevy of radiometric and cloud observing instruments dedi- cated to assisting ARM in reaching its objective to develop and improve cloud and radiative parameterizations for use in general circulation

  14. Research Highlight

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

    The Impact of Instrument Selection and Sampling on Cloud Fraction at the ARM Southern Great Plains Site Download a printable PDF Submitter: Kennedy, A. D., University of North Dakota Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Kennedy AD, X Dong, and B Xi. 2013. "Cloud Fraction at the ARM SGP Site: Instrument and sampling considerations from 14 years of ARSCL." Theoretical and Applied Climatology (Springer), 115(1-2),

  15. Research Highlight

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

    Multi-scale Variations of Decade-long Cloud Fractions from Six Different Platforms over the SGP Download a printable PDF Submitter: Wu, W., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Wu W, Y Liu, MP Jensen, T Toto, MJ Foster, and CN Long. 2014. "A comparison of multiscale variations of decade-long cloud fractions from six different platforms over the Southern Great Plains in the United

  16. ARM - Facility News Article

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

    Infrared Thermometers Complete Cloud Pictures Bookmark and Share Extended Facilities at the SGP are spaced far enough apart that they do not have overlapping views overhead. This separation allows the infrared thermometers to obtain specific measurements for individual cloud cases. To help ARM scientists analyze cloud temperatures and infer cloud heights over the ARM Climate Research Facility Southern Great Plains (SGP) site, operations staff are installing six new infrared thermometers (IRTs)

  17. Cirrus clouds in a global climate model with a statistical cirrus cloud scheme

    SciTech Connect (OSTI)

    Wang, Minghuai; Penner, Joyce E.

    2010-06-21

    A statistical cirrus cloud scheme that accounts for mesoscale temperature perturbations is implemented in a coupled aerosol and atmospheric circulation model to better represent both subgrid-scale supersaturation and cloud formation. This new scheme treats the effects of aerosol on cloud formation and ice freezing in an improved manner, and both homogeneous freezing and heterogeneous freezing are included. The scheme is able to better simulate the observed probability distribution of relative humidity compared to the scheme that was implemented in an older version of the model. Heterogeneous ice nuclei (IN) are shown to decrease the frequency of occurrence of supersaturation, and improve the comparison with observations at 192 hPa. Homogeneous freezing alone can not reproduce observed ice crystal number concentrations at low temperatures (<205 K), but the addition of heterogeneous IN improves the comparison somewhat. Increases in heterogeneous IN affect both high level cirrus clouds and low level liquid clouds. Increases in cirrus clouds lead to a more cloudy and moist lower troposphere with less precipitation, effects which we associate with the decreased convective activity. The change in the net cloud forcing is not very sensitive to the change in ice crystal concentrations, but the change in the net radiative flux at the top of the atmosphere is still large because of changes in water vapor. Changes in the magnitude of the assumed mesoscale temperature perturbations by 25% alter the ice crystal number concentrations and the net radiative fluxes by an amount that is comparable to that from a factor of 10 change in the heterogeneous IN number concentrations. Further improvements on the representation of mesoscale temperature perturbations, heterogeneous IN and the competition between homogeneous freezing and heterogeneous freezing are needed.

  18. The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis

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

    Jensen, M. P.; Toto, T.; Troyan, D.; Ciesielski, P. E.; Holdridge, D.; Kyrouac, J.; Schatz, J.

    2014-09-12

    The Midlatitude Continental Convective Clouds Experiment (MC3E) took place during the spring of 2011 centered in north-central Oklahoma, USA. The main goal of this field campaign was to capture the dynamical and microphysical characteristics of precipitating convective systems in the Central Plains. A major component of the campaign was a 6-site radiosonde array designed to capture the large-scale variability of the atmospheric state with the intent of deriving model forcing datasets. Over the course of the 46 day MC3E campaign, a total of 1362 radiosondes were launched from the enhanced sonde network. This manuscript describes the details of the instrumentationmore » used as part of the sounding array, the data processing activities including quality checks and humidity bias corrections and an analysis of the impacts of bias correction and algorithm assumptions on the determination of convective levels and indices. It is found that corrections for known radiosonde humidity biases and assumptions regarding the characteristics of the surface convective parcel result in significant differences in the derived values of convective levels and indices in many soundings.« less

  19. The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis

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

    Jensen, M. P.; Toto, T.; Troyan, D.; Ciesielski, P. E.; Holdridge, D.; Kyrouac, J.; Schatz, J.; Zhang, Y.; Xie, S.

    2015-01-27

    The Midlatitude Continental Convective Clouds Experiment (MC3E) took place during the spring of 2011 centered in north-central Oklahoma, USA. The main goal of this field campaign was to capture the dynamical and microphysical characteristics of precipitating convective systems in the US Central Plains. A major component of the campaign was a six-site radiosonde array designed to capture the large-scale variability of the atmospheric state with the intent of deriving model forcing data sets. Over the course of the 46-day MC3E campaign, a total of 1362 radiosondes were launched from the enhanced sonde network. This manuscript provides details on the instrumentationmore » used as part of the sounding array, the data processing activities including quality checks and humidity bias corrections and an analysis of the impacts of bias correction and algorithm assumptions on the determination of convective levels and indices. It is found that corrections for known radiosonde humidity biases and assumptions regarding the characteristics of the surface convective parcel result in significant differences in the derived values of convective levels and indices in many soundings. In addition, the impact of including the humidity corrections and quality controls on the thermodynamic profiles that are used in the derivation of a large-scale model forcing data set are investigated. The results show a significant impact on the derived large-scale vertical velocity field illustrating the importance of addressing these humidity biases.« less

  20. EIS-0106: Great Falls-Conrad Transmission Line Project, Montana

    Broader source: Energy.gov [DOE]

    The Western Area Power Administration prepared this EIS to evaluate the environmental impacts of the construction and operation of a 230-kilovolt transmission line from Great Falls, Montana, to Conrad, Montana.