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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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    The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 006:;page E864
    Author(s): Ben Bouallègue, Zied; Clare, Mariana C. A.; Magnusson, Linus; Gascón, Estibaliz; Maier-Gerber, Michael; Janoušek, Martin; Rodwell, Mark; Pinault, Florian; Dramsch, Jesper S.; Lang, Simon T. K.; Raoult, Baudouin; Rabier, Florence; Chevallier, Matthieu; San
    Publisher: American Meteorological Society
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    Tropical Transition of Hurricane Chris (2012) over the North Atlantic Ocean: A Multiscale Investigation of Predictability 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 003:;page 951
    Author(s): Maier-Gerber, Michael; Riemer, Michael; Fink, Andreas H.; Knippertz, Peter; Di Muzio, Enrico; McTaggart-Cowan, Ron
    Publisher: American Meteorological Society
    Abstract: AbstractTropical cyclones that evolve from a nontropical origin and undergo tropical transition (TT) play a prominent role in cyclogenesis in the North Atlantic Ocean. They pose a special challenge for predictions, as they ...
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