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    En-GARD: A Statistical Downscaling Framework to Produce and Test Large Ensembles of Climate Projections 

    Source: Journal of Hydrometeorology:;2022:;volume( 023 ):;issue: 010:;page 1545
    Author(s): Ethan D. Gutmann; Joseph. J. Hamman; Martyn P. Clark; Trude Eidhammer; Andrew W. Wood; Jeffrey R. Arnold
    Publisher: American Meteorological Society
    Abstract: Statistical processing of numerical model output has been a part of both weather forecasting and climate applications for decades. Statistical techniques are used to correct systematic biases in atmospheric model outputs ...
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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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