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    Verification of Quantitative Precipitation Reforecasts over the Southeastern United States

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 005::page 1199
    Author:
    Baxter, Martin A.
    ,
    Lackmann, Gary M.
    ,
    Mahoney, Kelly M.
    ,
    Workoff, Thomas E.
    ,
    Hamill, Thomas M.
    DOI: 10.1175/WAF-D-14-00055.1
    Publisher: American Meteorological Society
    Abstract: OAA?s second-generation reforecasts are approximately consistent with the operational version of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecasts allow verification to be performed across a multidecadal time period using a static model, in contrast to verifications performed using an ever-evolving operational modeling system. This contribution examines three commonly used verification metrics for reforecasts of precipitation over the southeastern United States: equitable threat score, bias, and ranked probability skill score. Analysis of the verification metrics highlights the variation in the ability of the GEFS to predict precipitation across amount, season, forecast lead time, and location. Beyond day 5.5, there is little useful skill in quantitative precipitation forecasts (QPFs) or probabilistic QPFs. For lighter precipitation thresholds [e.g., 5 and 10 mm (24 h)?1], use of the ensemble mean adds about 10% to the forecast skill over the deterministic control. QPFs have increased in accuracy from 1985 to 2013, likely due to improvements in observations. Results of this investigation are a first step toward using the reforecast database to distinguish weather regimes that the GEFS typically predicts well from those regimes that the GEFS typically predicts poorly.
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      Verification of Quantitative Precipitation Reforecasts over the Southeastern United States

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4231779
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    contributor authorBaxter, Martin A.
    contributor authorLackmann, Gary M.
    contributor authorMahoney, Kelly M.
    contributor authorWorkoff, Thomas E.
    contributor authorHamill, Thomas M.
    date accessioned2017-06-09T17:36:41Z
    date available2017-06-09T17:36:41Z
    date copyright2014/10/01
    date issued2014
    identifier issn0882-8156
    identifier otherams-88042.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231779
    description abstractOAA?s second-generation reforecasts are approximately consistent with the operational version of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecasts allow verification to be performed across a multidecadal time period using a static model, in contrast to verifications performed using an ever-evolving operational modeling system. This contribution examines three commonly used verification metrics for reforecasts of precipitation over the southeastern United States: equitable threat score, bias, and ranked probability skill score. Analysis of the verification metrics highlights the variation in the ability of the GEFS to predict precipitation across amount, season, forecast lead time, and location. Beyond day 5.5, there is little useful skill in quantitative precipitation forecasts (QPFs) or probabilistic QPFs. For lighter precipitation thresholds [e.g., 5 and 10 mm (24 h)?1], use of the ensemble mean adds about 10% to the forecast skill over the deterministic control. QPFs have increased in accuracy from 1985 to 2013, likely due to improvements in observations. Results of this investigation are a first step toward using the reforecast database to distinguish weather regimes that the GEFS typically predicts well from those regimes that the GEFS typically predicts poorly.
    publisherAmerican Meteorological Society
    titleVerification of Quantitative Precipitation Reforecasts over the Southeastern United States
    typeJournal Paper
    journal volume29
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-14-00055.1
    journal fristpage1199
    journal lastpage1207
    treeWeather and Forecasting:;2014:;volume( 029 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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