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    Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California

    Source: Monthly Weather Review:;2020:;volume( 148 ):;issue: 008::page 3489
    Author:
    Scheuerer, Michael;Switanek, Matthew B.;Worsnop, Rochelle P.;Hamill, Thomas M.
    DOI: 10.1175/MWR-D-20-0096.1
    Publisher: American Meteorological Society
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      Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4281043
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    • Monthly Weather Review

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    contributor authorScheuerer, Michael;Switanek, Matthew B.;Worsnop, Rochelle P.;Hamill, Thomas M.
    date accessioned2022-03-26T20:09:14Z
    date available2022-03-26T20:09:14Z
    date copyright01 Aug. 2020
    date issued2020
    identifier othermwrD200096.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4281043
    publisherAmerican Meteorological Society
    titleUsing Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California
    typeJournal Paper
    journal volume148
    journal issue8
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-20-0096.1
    journal fristpage3489
    journal lastpage3506
    treeMonthly Weather Review:;2020:;volume( 148 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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