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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| 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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