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    Machine Learning Methods for Postprocessing Ensemble Forecasts of Wind Gusts: A Systematic Comparison 

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 001:;page 235
    Author(s): Schulz, Benedikt;Lerch, Sebastian
    Publisher: American Meteorological Society
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    Corrigendum 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 005
    Author(s): Schulz, Benedikt; Lerch, Sebastian
    Publisher: American Meteorological Society
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    Corrigendum 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 005:;page 1321
    Author(s): Schulz, Benedikt; Lerch, Sebastian
    Publisher: American Meteorological Society
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    Predictability of Rainfall over Equatorial East Africa in the ECMWF Ensemble Reforecasts on Short- to Medium-Range Time Scales 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 012:;page 2613
    Author(s): Ageet, Simon; Fink, Andreas H.; Maranan, Marlon; Schulz, Benedikt
    Publisher: American Meteorological Society
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    Statistical–Dynamical Forecasting of Subseasonal North Atlantic Tropical Cyclone Occurrence 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 2127
    Author(s): Maier-Gerber, Michael;Fink, Andreas H.;Riemer, Michael;Schoemer, Elmar;Fischer, Christoph;Schulz, Benedikt
    Publisher: American Meteorological Society
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    Postprocessing of Ensemble Weather Forecasts Using Permutation-Invariant Neural Networks 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 001
    Author(s): Höhlein, Kevin; Schulz, Benedikt; Westermann, Rüdiger; Lerch, Sebastian
    Publisher: American Meteorological Society
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