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    On the Weights for an Ensemble-Averaged 6–10-Day Forecast

    Source: Weather and Forecasting:;1994:;volume( 009 ):;issue: 003::page 457
    Author:
    Van Den Dool, H. M.
    ,
    Rukhovets, L.
    DOI: 10.1175/1520-0434(1994)009<0457:OTWFAE>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A scheme to optimally weight the members of an ensemble of forecasts is discussed in the framework of calculating an as accurate as possible ensemble average. Results show, relative to a single member, a considerably improved 500-mb height forecast in the 6?10-day range for the Northern Hemisphere. The improvement is nontrivial and cannot be explained from simple smoothing. This method is used in operations at the National Meteorological Center.
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      On the Weights for an Ensemble-Averaged 6–10-Day Forecast

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4164489
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    contributor authorVan Den Dool, H. M.
    contributor authorRukhovets, L.
    date accessioned2017-06-09T14:49:09Z
    date available2017-06-09T14:49:09Z
    date copyright1994/09/01
    date issued1994
    identifier issn0882-8156
    identifier otherams-2748.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4164489
    description abstractA scheme to optimally weight the members of an ensemble of forecasts is discussed in the framework of calculating an as accurate as possible ensemble average. Results show, relative to a single member, a considerably improved 500-mb height forecast in the 6?10-day range for the Northern Hemisphere. The improvement is nontrivial and cannot be explained from simple smoothing. This method is used in operations at the National Meteorological Center.
    publisherAmerican Meteorological Society
    titleOn the Weights for an Ensemble-Averaged 6–10-Day Forecast
    typeJournal Paper
    journal volume9
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/1520-0434(1994)009<0457:OTWFAE>2.0.CO;2
    journal fristpage457
    journal lastpage465
    treeWeather and Forecasting:;1994:;volume( 009 ):;issue: 003
    contenttypeFulltext
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