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    NCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System

    Source: Weather and Forecasting:;2015:;volume( 030 ):;issue: 006::page 1645
    Author:
    Schwartz, Craig S.
    ,
    Romine, Glen S.
    ,
    Sobash, Ryan A.
    ,
    Fossell, Kathryn R.
    ,
    Weisman, Morris L.
    DOI: 10.1175/WAF-D-15-0103.1
    Publisher: American Meteorological Society
    Abstract: his expository paper documents an experimental, real-time, 10-member, 3-km, convection-allowing ensemble prediction system (EPS) developed at the National Center for Atmospheric Research (NCAR) in spring 2015. The EPS is particularly unique in that continuously cycling, limited-area, mesoscale ensemble Kalman filter analyses provide diverse initial conditions. In addition to describing the EPS configurations, initial forecast assessments are presented that suggest the EPS can provide valuable severe weather guidance and skillful predictions of precipitation. The EPS output is available to operational forecasters, many of whom have incorporated the products into their toolboxes. Given such rapid embrace of an experimental system by the operational community, acceleration of convection-allowing EPS development is encouraged.
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      NCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System

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    contributor authorSchwartz, Craig S.
    contributor authorRomine, Glen S.
    contributor authorSobash, Ryan A.
    contributor authorFossell, Kathryn R.
    contributor authorWeisman, Morris L.
    date accessioned2017-06-09T17:37:08Z
    date available2017-06-09T17:37:08Z
    date copyright2015/12/01
    date issued2015
    identifier issn0882-8156
    identifier otherams-88164.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231914
    description abstracthis expository paper documents an experimental, real-time, 10-member, 3-km, convection-allowing ensemble prediction system (EPS) developed at the National Center for Atmospheric Research (NCAR) in spring 2015. The EPS is particularly unique in that continuously cycling, limited-area, mesoscale ensemble Kalman filter analyses provide diverse initial conditions. In addition to describing the EPS configurations, initial forecast assessments are presented that suggest the EPS can provide valuable severe weather guidance and skillful predictions of precipitation. The EPS output is available to operational forecasters, many of whom have incorporated the products into their toolboxes. Given such rapid embrace of an experimental system by the operational community, acceleration of convection-allowing EPS development is encouraged.
    publisherAmerican Meteorological Society
    titleNCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System
    typeJournal Paper
    journal volume30
    journal issue6
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-15-0103.1
    journal fristpage1645
    journal lastpage1654
    treeWeather and Forecasting:;2015:;volume( 030 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian