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    NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset

    Source: Bulletin of the American Meteorological Society:;2013:;volume( 094 ):;issue: 010::page 1553
    Author:
    Hamill, Thomas M.
    ,
    Bates, Gary T.
    ,
    Whitaker, Jeffrey S.
    ,
    Murray, Donald R.
    ,
    Fiorino, Michael
    ,
    Galarneau, Thomas J.
    ,
    Zhu, Yuejian
    ,
    Lapenta, William
    DOI: 10.1175/BAMS-D-12-00014.1
    Publisher: American Meteorological Society
    Abstract: cadal ensemble reforecast database is now available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecast dataset consists of an 11-member ensemble run once each day from 0000 UTC initial conditions. Reforecasts are run to +16 days. As with the operational 2012 GEFS, the reforecast is run at T254L42 resolution (approximately 1/2° grid spacing, 42 levels) for week +1 forecasts and T190L42 (approximately 3/4° grid spacing) for the week +2 forecasts. Reforecasts were initialized with Climate Forecast System Reanalysis initial conditions, and perturbations were generated using the ensemble transform with rescaling technique. Reforecast data are available from 1985 to present. Reforecast datasets were previously demonstrated to be very valuable for detecting and correcting systematic errors in forecasts, especially forecasts of relatively rare events and longer-lead forecasts. What is novel about this reforecast dataset relative to the first-generation NOAA reforecast is that (i) a modern, currently operational version of the forecast model is used (the previous reforecast used a model version from 1998); (ii) a much larger set of output data has been saved, including variables relevant for precipitation, hydrologic, wind energy, solar energy, severe weather, and tropical cyclone forecasting; and (iii) the archived data are at much higher resolution. The article describes more about the reforecast configuration and provides a few examples of how this second-generation reforecast data may be used for research and a variety of weather forecast applications.
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      NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4215358
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    • Bulletin of the American Meteorological Society

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    contributor authorHamill, Thomas M.
    contributor authorBates, Gary T.
    contributor authorWhitaker, Jeffrey S.
    contributor authorMurray, Donald R.
    contributor authorFiorino, Michael
    contributor authorGalarneau, Thomas J.
    contributor authorZhu, Yuejian
    contributor authorLapenta, William
    date accessioned2017-06-09T16:44:23Z
    date available2017-06-09T16:44:23Z
    date copyright2013/10/01
    date issued2013
    identifier issn0003-0007
    identifier otherams-73263.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215358
    description abstractcadal ensemble reforecast database is now available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecast dataset consists of an 11-member ensemble run once each day from 0000 UTC initial conditions. Reforecasts are run to +16 days. As with the operational 2012 GEFS, the reforecast is run at T254L42 resolution (approximately 1/2° grid spacing, 42 levels) for week +1 forecasts and T190L42 (approximately 3/4° grid spacing) for the week +2 forecasts. Reforecasts were initialized with Climate Forecast System Reanalysis initial conditions, and perturbations were generated using the ensemble transform with rescaling technique. Reforecast data are available from 1985 to present. Reforecast datasets were previously demonstrated to be very valuable for detecting and correcting systematic errors in forecasts, especially forecasts of relatively rare events and longer-lead forecasts. What is novel about this reforecast dataset relative to the first-generation NOAA reforecast is that (i) a modern, currently operational version of the forecast model is used (the previous reforecast used a model version from 1998); (ii) a much larger set of output data has been saved, including variables relevant for precipitation, hydrologic, wind energy, solar energy, severe weather, and tropical cyclone forecasting; and (iii) the archived data are at much higher resolution. The article describes more about the reforecast configuration and provides a few examples of how this second-generation reforecast data may be used for research and a variety of weather forecast applications.
    publisherAmerican Meteorological Society
    titleNOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset
    typeJournal Paper
    journal volume94
    journal issue10
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-12-00014.1
    journal fristpage1553
    journal lastpage1565
    treeBulletin of the American Meteorological Society:;2013:;volume( 094 ):;issue: 010
    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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