Exploring machine learning approaches for precipitation downscaling

Accurate precipitation has great significance in hydrological, climatological, and meteorological studies. Numerous efforts have been devoted to developing global satellite-derived precipitation products. However, their coarse spatial resolution typically prevented their applicability in regional fl...

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Bibliographic Details

Published in:	Geo-spatial Information Science
Main Authors:	Honglin Zhu, Qiming Zhou, Jukka M. Krisp
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2025-03-01
Subjects:	Downscaling precipitation machine learning residual correction calibration
Online Access:	https://www.tandfonline.com/doi/10.1080/10095020.2025.2477547