Monthly 0.05° winter months snow depth dataset for the Northern Hemisphere from 21 CMIP6 models

Abstract Accurate snow depth datasets are crucial for water resource management, comprehensive climate change evaluations, and the sustainable advancement of the ice-and-snow economy in the context of rapid climate change. To create a high-resolution monthly snow depth dataset tailored for the North...

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Bibliographic Details
Main Authors: Shiqiu Lin, Xiaona Chen, Shunlin Liang, Yangxiaoyue Liu, Yu Li, Huan Li
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-04925-w
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