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Machine learning-based precipitation dataset for the Yarlung Zangbo River Basin: Generation, evaluation, and environmental factor analysis

Study region: Yarlung Zangbo River Basin, in the Southern Tibetan Plateau. Study focus: Mountainous precipitation data often exhibit spatiotemporal inconsistencies and substantial biases, limiting hydrological applications. We develop a machine learning framework to merge CN05.1, ERA5-Land, CHIRPS,...

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Principais autores: Hang Zha, Fan Zhang, Xiaonan Shi, Yuxuan Xiang, Xuelong Chen, Hongbo Zhang, Yang Zhao, Jun Zhu
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2026-06-01
Series:Journal of Hydrology: Regional Studies
Assuntos:
Precipitation
Yarlung Zangbo River Basin
Machine Learning
SHAP Interpretation
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2214581826002855
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