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    Deep Learning Forecast Uncertainty for Precipitation over the Western United States 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 006:;page 1367
    Author(s): Hu, Weiming; Ghazvinian, Mohammadvaghef; Chapman, William E.; Sengupta, Agniv; Ralph, Fred Martin; Delle Monache, Luca
    Publisher: American Meteorological Society
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    Monthly Modulations of ENSO Teleconnections: Implications for Potential Predictability in North America 

    Source: Journal of Climate:;2021:;volume( 034 ):;issue: 014:;page 5899
    Author(s): Chapman, William E.;Subramanian, Aneesh C.;Xie, Shang-Ping;Sierks, Michael D.;Ralph, F. Martin;Kamae, Youichi
    Publisher: American Meteorological Society
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    Deep Learning Forecast Uncertainty for Precipitation over the Western United States 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 006
    Author(s): Hu, Weiming; Ghazvinian, Mohammadvaghef; Chapman, William E.; Sengupta, Agniv; Ralph, Fred Martin; Delle Monache, Luca
    Publisher: American Meteorological Society
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    Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning 

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 001:;page 215
    Author(s): Chapman, William E.;Delle Monache, Luca;Alessandrini, Stefano;Subramanian, Aneesh C.;Ralph, F. Martin;Xie, Shang-Ping;Lerch, Sebastian;Hayatbini, Negin
    Publisher: American Meteorological Society
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    Supermodeling: Improving Predictions with an Ensemble of Interacting Models 

    Source: Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 009:;page E1670
    Author(s): Schevenhoven, Francine; Keenlyside, Noel; Counillon, François; Carrassi, Alberto; Chapman, William E.; Devilliers, Marion; Gupta, Alok; Koseki, Shunya; Selten, Frank; Shen, Mao-Lin; Wang, Shuo; Weiss, Jeffrey B.; Wiegerinck, Wim; Duane, Gregory S.
    Publisher: American Meteorological Society
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