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    Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001
    Author(s): Momoi, Masahiro; Kotsuki, Shunji; Kikuchi, Ryota; Watanabe, Satoshi; Yamada, Masafumi; Abe, Shiori
    Publisher: American Meteorological Society
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    Emulating Rainfall–Runoff-Inundation Model Using Deep Neural Network with Dimensionality Reduction 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001
    Author(s): Momoi, Masahiro; Kotsuki, Shunji; Kikuchi, Ryota; Watanabe, Satoshi; Yamada, Masafumi; Abe, Shiori
    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
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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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