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    Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment

    Source: Weather and Forecasting:;2010:;volume( 025 ):;issue: 005::page 1510
    Author:
    Kain, John S.
    ,
    Xue, Ming
    ,
    Coniglio, Michael C.
    ,
    Weiss, Steven J.
    ,
    Kong, Fanyou
    ,
    Jensen, Tara L.
    ,
    Brown, Barbara G.
    ,
    Gao, Jidong
    ,
    Brewster, Keith
    ,
    Thomas, Kevin W.
    ,
    Wang, Yunheng
    ,
    Schwartz, Craig S.
    ,
    Levit, Jason J.
    DOI: 10.1175/2010WAF2222405.1
    Publisher: American Meteorological Society
    Abstract: The impacts of assimilating radar data and other mesoscale observations in real-time, convection-allowing model forecasts were evaluated during the spring seasons of 2008 and 2009 as part of the Hazardous Weather Test Bed Spring Experiment activities. In tests of a prototype continental U.S.-scale forecast system, focusing primarily on regions with active deep convection at the initial time, assimilation of these observations had a positive impact. Daily interrogation of output by teams of modelers, forecasters, and verification experts provided additional insights into the value-added characteristics of the unique assimilation forecasts. This evaluation revealed that the positive effects of the assimilation were greatest during the first 3?6 h of each forecast, appeared to be most pronounced with larger convective systems, and may have been related to a phase lag that sometimes developed when the convective-scale information was not assimilated. These preliminary results are currently being evaluated further using advanced objective verification techniques.
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      Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4213395
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    • Weather and Forecasting

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    contributor authorKain, John S.
    contributor authorXue, Ming
    contributor authorConiglio, Michael C.
    contributor authorWeiss, Steven J.
    contributor authorKong, Fanyou
    contributor authorJensen, Tara L.
    contributor authorBrown, Barbara G.
    contributor authorGao, Jidong
    contributor authorBrewster, Keith
    contributor authorThomas, Kevin W.
    contributor authorWang, Yunheng
    contributor authorSchwartz, Craig S.
    contributor authorLevit, Jason J.
    date accessioned2017-06-09T16:38:46Z
    date available2017-06-09T16:38:46Z
    date copyright2010/10/01
    date issued2010
    identifier issn0882-8156
    identifier otherams-71497.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4213395
    description abstractThe impacts of assimilating radar data and other mesoscale observations in real-time, convection-allowing model forecasts were evaluated during the spring seasons of 2008 and 2009 as part of the Hazardous Weather Test Bed Spring Experiment activities. In tests of a prototype continental U.S.-scale forecast system, focusing primarily on regions with active deep convection at the initial time, assimilation of these observations had a positive impact. Daily interrogation of output by teams of modelers, forecasters, and verification experts provided additional insights into the value-added characteristics of the unique assimilation forecasts. This evaluation revealed that the positive effects of the assimilation were greatest during the first 3?6 h of each forecast, appeared to be most pronounced with larger convective systems, and may have been related to a phase lag that sometimes developed when the convective-scale information was not assimilated. These preliminary results are currently being evaluated further using advanced objective verification techniques.
    publisherAmerican Meteorological Society
    titleAssessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment
    typeJournal Paper
    journal volume25
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/2010WAF2222405.1
    journal fristpage1510
    journal lastpage1521
    treeWeather and Forecasting:;2010:;volume( 025 ):;issue: 005
    contenttypeFulltext
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    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian