Daily snow water equivalent product with SMMR, SSM/I and SSMIS from 1980 to 2020 over China
The reliable knowledge of seasonal snow volume and its trend is very important to understand Earth’s climate system. Thus, a long-time snow water equivalent (SWE) dataset is necessary. This work presents a daily SWE product of 1980–2020 with a linear unmixing method through passive microwave data in...
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| Principais autores: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Taylor & Francis Group
2022-02-01
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| Serier: | Big Earth Data |
| Fag: | |
| Online adgang: | http://dx.doi.org/10.1080/20964471.2022.2032998 |
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