A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables. A major contributing factor to this is that several key processes affecting precipitation distribution and intensity occur below the resolved scale of global weather models. Generative adversarial networks (GAN...
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Full title
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
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TN_cdi_proquest_journals_2647478844
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2647478844
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2204.02028
