Downscaling Satellite and Reanalysis Precipitation Products Using Attention-Based Deep Convolutional Neural Nets

High-quality and high-resolution precipitation products are critically important to many hydrological applications. Advances in satellite remote sensing instruments and data retrieval algorithms continue to improve the quality of the operational precipitation products. However, most satellite produc...

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Autors principals:	Alexander Y. Sun, Guoqiang Tang
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2020-11-01
Col·lecció:	Frontiers in Water
Matèries:	PRISM TRMM deep learning convolutional neural net global precipitation measurement (GPM) satellite precipitation downscaling
Accés en línia:	https://www.frontiersin.org/articles/10.3389/frwa.2020.536743/full
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