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Improving Daily Precipitation Estimates through Machine Learning-Based Downscaling, Precipitation Event Classification, and Categorical Merging

Published Online: 2026-02-27

Published Print: 2026-03

Authors

Yue, Zhenzhen https://orcid.org/0000-0002-3379-6434
Xiong, Lihua

Xiang, Chenguang
Funding

Funding for this research was provided by:

POWERCHINA Huadong Engineering Corporation (KY2024-NGH-02-06)

National Natural Science Foundation of China (U2240201)

the Yunnan International Joint R&D Center for Basin-scale Water-Energy-Ecology Regulation (202503AP140045)

Science and Technology Project of Power China Kunming Engineering Corporation Limited (KD-ZDYF2024-085)
License Information

Text and Data Mining valid from 2026-02-27

Version of Record valid from 2026-02-27
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Article History

Received: 8 October 2025

Accepted: 31 December 2025

First Online: 27 February 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this study.

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