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    A Deep Learning Model for Improved Wind and Consequent Wave Forecasts 

    Source: Journal of Physical Oceanography:;2022:;volume( 052 ):;issue: 010:;page 2531
    Author(s): Yuval Yevnin; Yaron Toledo
    Publisher: American Meteorological Society
    Abstract: The paper presents a combined numerical–deep learning (DL) approach for improving wind and wave forecasting. First, a DL model is trained to improve wind velocity forecasts by using past reanalysis data. The improved wind ...
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    DSpace software copyright © 2002-2015  DuraSpace
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