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    Temporal–Spatial Distribution of Thin Moist Layers in the Midtroposphere over the Tropical Eastern Pacific 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 019:;page 5102
    Author(s): Otsuka, Shigenori; Yoden, Shigeo
    Publisher: American Meteorological Society
    Abstract: The temporal?spatial distribution of thin moist layers in the midtroposphere over the tropical eastern Pacific is studied by data analyses of radiosonde soundings and downscaling numerical experiments with a regional model. ...
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    A Bayesian Optimization Approach to Multimodel Ensemble Kalman Filter with a Low-Order Model 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 006:;page 2001
    Author(s): Otsuka, Shigenori; Miyoshi, Takemasa
    Publisher: American Meteorological Society
    Abstract: ultimodel ensemble data assimilation may account for uncertainties of numerical models due to different dynamical cores and physics parameterizations. In the previous studies, the ensemble sizes for each model are prescribed ...
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    A Time-Lagged Ensemble Simulation on the Modulation of Precipitation over West Java in January–February 2007 

    Source: Monthly Weather Review:;2011:;volume( 140 ):;issue: 002:;page 601
    Author(s): Trilaksono, Nurjanna J.; Otsuka, Shigenori; Yoden, Shigeo
    Publisher: American Meteorological Society
    Abstract: numerical experiment using a regional nonhydrostatic model is performed to investigate the synoptic condition related to the heavy precipitation event that occurred at Jakarta in West Java, Indonesia, in January?February ...
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    Nowcasting with Data Assimilation: A Case of Global Satellite Mapping of Precipitation 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 005:;page 1409
    Author(s): Otsuka, Shigenori; Kotsuki, Shunji; Miyoshi, Takemasa
    Publisher: American Meteorological Society
    Abstract: pace?time extrapolation is a key technique in precipitation nowcasting. Motions of patterns are estimated using two or more consecutive images, and the patterns are extrapolated in space and time to obtain their future ...
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    Sensitivity to Localization Radii for an Ensemble Filter Numerical Weather Prediction System with 30-Second Update 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 004
    Author(s): Taylor, James; Honda, Takumi; Amemiya, Arata; Otsuka, Shigenori; Maejima, Yasumitsu; Miyoshi, Takemasa
    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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    Sensitivity to Localization Radii for an Ensemble Filter Numerical Weather Prediction System with 30-Second Update 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 004:;page 611
    Author(s): Taylor, James; Honda, Takumi; Amemiya, Arata; Otsuka, Shigenori; Maejima, Yasumitsu; Miyoshi, Takemasa
    Publisher: American Meteorological Society
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    Precipitation Nowcasting with Three-Dimensional Space–Time Extrapolation of Dense and Frequent Phased-Array Weather Radar Observations 

    Source: Weather and Forecasting:;2015:;volume( 031 ):;issue: 001:;page 329
    Author(s): Otsuka, Shigenori; Tuerhong, Gulanbaier; Kikuchi, Ryota; Kitano, Yoshikazu; Taniguchi, Yusuke; Ruiz, Juan Jose; Satoh, Shinsuke; Ushio, Tomoo; Miyoshi, Takemasa
    Publisher: American Meteorological Society
    Abstract: he phased-array weather radar (PAWR) is a new-generation weather radar that can make a 100-m-resolution three-dimensional (3D) volume scan every 30 s for 100 vertical levels, producing ~100 times more data than the ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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