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    Data Assimilation Challenges Posed by Nonlinear Operators: A Comparative Study of Ensemble and Variational Filters and Smoothers 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 007:;page 2369
    Author(s): Kurosawa, Kenta;Poterjoy, Jonathan
    Publisher: American Meteorological Society
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    A Statistical Hypothesis Testing Strategy for Adaptively Blending Particle Filters and Ensemble Kalman Filters for Data Assimilation 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 001
    Author(s): Kurosawa, Kenta; Poterjoy, Jonathan
    Publisher: American Meteorological Society
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    A Statistical Hypothesis Testing Strategy for Adaptively Blending Particle Filters and Ensemble Kalman Filters for Data Assimilation 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 001:;page 105
    Author(s): Kurosawa, Kenta; Poterjoy, Jonathan
    Publisher: American Meteorological Society
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    Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights 

    Source: Weather and Forecasting:;2019:;volume 034:;issue 003:;page 701
    Author(s): Kotsuki, Shunji; Kurosawa, Kenta; Otsuka, Shigenori; Terasaki, Koji; Miyoshi, Takemasa
    Publisher: American Meteorological Society
    Abstract: AbstractOver the past few decades, precipitation forecasts by numerical weather prediction (NWP) models have been remarkably improved. Yet, precipitation nowcasting based on spatiotemporal extrapolation tends to provide a ...
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