Spatial Downscaling of GPM Satellite Precipitation Data Using Extreme Random Trees

Spatial Downscaling of GPM Satellite Precipitation Data Using Extreme Random Trees

Obtaining precise and detailed precipitation data is crucial for analyzing watershed hydrology, ensuring sustainable water resource management, and monitoring events such as floods and droughts. Due to the complex relationship between precipitation and geographic factors, this study divides the enti...

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Bibliographic Details
Main Authors: Shaonan Zhu, Xiangyuan Wang, Donglai Jiao, Yiding Zhang, Jiaxin Liu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Atmosphere
Subjects:
spatial downscaling
precipitation
vegetation regions
GPM
Online Access:https://www.mdpi.com/2073-4433/14/10/1489

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