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    Dryline Position Errors in Experimental Convection-Allowing NSSL-WRF Model Forecasts and the Operational NAM

    Source: Weather and Forecasting:;2013:;volume( 028 ):;issue: 003::page 746
    Author:
    Coffer, Brice E.
    ,
    Maudlin, Lindsay C.
    ,
    Veals, Peter G.
    ,
    Clark, Adam J.
    DOI: 10.1175/WAF-D-12-00092.1
    Publisher: American Meteorological Society
    Abstract: his study evaluates 24-h forecasts of dryline position from an experimental 4-km grid-spacing version of the Weather Research and Forecasting Model (WRF) run daily at the National Severe Storms Laboratory (NSSL), as well as the 12-km grid-spacing North America Mesoscale Model (NAM) run operationally by the Environmental Modeling Center of NCEP. For both models, 0000 UTC initializations are examined, and for verification 0000 UTC Rapid Update Cycle (RUC) analyses are used. For the period 1 April?30 June 2007?11, 116 cases containing drylines in all three datasets were identified using a manual procedure that considered specific humidity gradient magnitude, temperature, and 10-m wind. For the 24-h NAM forecasts, no systematic east?west dryline placement errors were found, and the majority of the east?west errors fell within the range ±0.5° longitude. The lack of a systematic bias was generally present across all subgroups of cases categorized according to month, weather pattern, and year. In contrast, a systematic eastward bias was found in 24-h NSSL-WRF forecasts, which was consistent across all subgroups of cases. The eastward biases seemed to be largest for the subgroups that favored ?active? drylines (i.e., those associated with a progressive synoptic-scale weather system) as opposed to ?quiescent? drylines that tend to be present with weaker tropospheric flow and have eastward movement dominated by vertical mixing processes in the boundary layer.
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      Dryline Position Errors in Experimental Convection-Allowing NSSL-WRF Model Forecasts and the Operational NAM

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4231614
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    contributor authorCoffer, Brice E.
    contributor authorMaudlin, Lindsay C.
    contributor authorVeals, Peter G.
    contributor authorClark, Adam J.
    date accessioned2017-06-09T17:36:08Z
    date available2017-06-09T17:36:08Z
    date copyright2013/06/01
    date issued2013
    identifier issn0882-8156
    identifier otherams-87895.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231614
    description abstracthis study evaluates 24-h forecasts of dryline position from an experimental 4-km grid-spacing version of the Weather Research and Forecasting Model (WRF) run daily at the National Severe Storms Laboratory (NSSL), as well as the 12-km grid-spacing North America Mesoscale Model (NAM) run operationally by the Environmental Modeling Center of NCEP. For both models, 0000 UTC initializations are examined, and for verification 0000 UTC Rapid Update Cycle (RUC) analyses are used. For the period 1 April?30 June 2007?11, 116 cases containing drylines in all three datasets were identified using a manual procedure that considered specific humidity gradient magnitude, temperature, and 10-m wind. For the 24-h NAM forecasts, no systematic east?west dryline placement errors were found, and the majority of the east?west errors fell within the range ±0.5° longitude. The lack of a systematic bias was generally present across all subgroups of cases categorized according to month, weather pattern, and year. In contrast, a systematic eastward bias was found in 24-h NSSL-WRF forecasts, which was consistent across all subgroups of cases. The eastward biases seemed to be largest for the subgroups that favored ?active? drylines (i.e., those associated with a progressive synoptic-scale weather system) as opposed to ?quiescent? drylines that tend to be present with weaker tropospheric flow and have eastward movement dominated by vertical mixing processes in the boundary layer.
    publisherAmerican Meteorological Society
    titleDryline Position Errors in Experimental Convection-Allowing NSSL-WRF Model Forecasts and the Operational NAM
    typeJournal Paper
    journal volume28
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-12-00092.1
    journal fristpage746
    journal lastpage761
    treeWeather and Forecasting:;2013:;volume( 028 ):;issue: 003
    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
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