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    The New England High-Resolution Temperature Program

    Source: Bulletin of the American Meteorological Society:;2006:;volume( 087 ):;issue: 004::page 491
    Author:
    Stensrud, David J.
    ,
    Yussouf, Nusrat
    ,
    Baldwin, Michael E.
    ,
    McQueen, Jeffery T.
    ,
    Du, Jun
    ,
    Zhou, Binbin
    ,
    Ferrier, Brad
    ,
    Manikin, Geoffrey
    ,
    Ralph, F. Martin
    ,
    Wilczak, James M.
    ,
    White, Allen B.
    ,
    Djlalova, Irina
    ,
    Bao, Jian-Wen
    ,
    Zamora, Robert J.
    ,
    Benjamin, Stanley G.
    ,
    Miller, Patricia A.
    ,
    Smith, Tracy Lorraine
    ,
    Smirnova, Tanya
    ,
    Barth, Michael F.
    DOI: 10.1175/BAMS-87-4-491
    Publisher: American Meteorological Society
    Abstract: The New England High-Resolution Temperature Program seeks to improve the accuracy of summertime 2-m temperature and dewpoint temperature forecasts in the New England region through a collaborative effort between the research and operational components of the National Oceanic and Atmospheric Administration (NOAA). The four main components of this program are 1) improved surface and boundary layer observations for model initialization, 2) special observations for the assessment and improvement of model physical process parameterization schemes, 3) using model forecast ensemble data to improve upon the operational forecasts for near-surface variables, and 4) transfering knowledge gained to commercial weather services and end users. Since 2002 this program has enhanced surface temperature observations by adding 70 new automated Cooperative Observer Program (COOP) sites, identified and collected data from over 1000 non-NOAA mesonet sites, and deployed boundary layer profilers and other special instrumentation throughout the New England region to better observe the surface energy budget. Comparisons of these special datasets with numerical model forecasts indicate that near-surface temperature errors are strongly correlated to errors in the model-predicted radiation fields. The attenuation of solar radiation by aerosols is one potential source of the model radiation bias. However, even with these model errors, results from bias-corrected ensemble forecasts are more accurate than the operational model output statistics (MOS) forecasts for 2-m temperature and dewpoint temperature, while also providing reliable forecast probabilities. Discussions with commerical weather vendors and end users have emphasized the potential economic value of these probabilistic ensemble-generated forecasts.
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      The New England High-Resolution Temperature Program

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4214946
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    contributor authorStensrud, David J.
    contributor authorYussouf, Nusrat
    contributor authorBaldwin, Michael E.
    contributor authorMcQueen, Jeffery T.
    contributor authorDu, Jun
    contributor authorZhou, Binbin
    contributor authorFerrier, Brad
    contributor authorManikin, Geoffrey
    contributor authorRalph, F. Martin
    contributor authorWilczak, James M.
    contributor authorWhite, Allen B.
    contributor authorDjlalova, Irina
    contributor authorBao, Jian-Wen
    contributor authorZamora, Robert J.
    contributor authorBenjamin, Stanley G.
    contributor authorMiller, Patricia A.
    contributor authorSmith, Tracy Lorraine
    contributor authorSmirnova, Tanya
    contributor authorBarth, Michael F.
    date accessioned2017-06-09T16:43:03Z
    date available2017-06-09T16:43:03Z
    date copyright2006/04/01
    date issued2006
    identifier issn0003-0007
    identifier otherams-72893.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214946
    description abstractThe New England High-Resolution Temperature Program seeks to improve the accuracy of summertime 2-m temperature and dewpoint temperature forecasts in the New England region through a collaborative effort between the research and operational components of the National Oceanic and Atmospheric Administration (NOAA). The four main components of this program are 1) improved surface and boundary layer observations for model initialization, 2) special observations for the assessment and improvement of model physical process parameterization schemes, 3) using model forecast ensemble data to improve upon the operational forecasts for near-surface variables, and 4) transfering knowledge gained to commercial weather services and end users. Since 2002 this program has enhanced surface temperature observations by adding 70 new automated Cooperative Observer Program (COOP) sites, identified and collected data from over 1000 non-NOAA mesonet sites, and deployed boundary layer profilers and other special instrumentation throughout the New England region to better observe the surface energy budget. Comparisons of these special datasets with numerical model forecasts indicate that near-surface temperature errors are strongly correlated to errors in the model-predicted radiation fields. The attenuation of solar radiation by aerosols is one potential source of the model radiation bias. However, even with these model errors, results from bias-corrected ensemble forecasts are more accurate than the operational model output statistics (MOS) forecasts for 2-m temperature and dewpoint temperature, while also providing reliable forecast probabilities. Discussions with commerical weather vendors and end users have emphasized the potential economic value of these probabilistic ensemble-generated forecasts.
    publisherAmerican Meteorological Society
    titleThe New England High-Resolution Temperature Program
    typeJournal Paper
    journal volume87
    journal issue4
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-87-4-491
    journal fristpage491
    journal lastpage498
    treeBulletin of the American Meteorological Society:;2006:;volume( 087 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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