This dataset was derived from long-term daily snow depth in China based on the boundary of the three-river-source area. The snow depth ranges from 0 to 100 cm, and the temporal coverage is from January 1 1980 to December 31 2020. The spatial and temporal resolutions are 0.25o and daily, respectively. Snow depth was produced from satellite passive microwave remote sensing data which came from three different sensors that are SMMR, SSM/I and SSMI/S. Considering the systematic bias among these sensors, the inter-sensor calibrations were performed to obtain temporal consistent passive microwave remote sensing data. And the long-term daily snow depth in China were produced from this consistent data based on the spectral gradient method.For header file information, refer to the data set header.txt.

File naming and required software

Data name: region_YYYYDDD.txt,’YYYY’represents year, DDD reprensents Julian day.

Data Citations Data citation guideline What's data citation?

Cite as:

Dai, L. (2019). Remote sensing products of snow depth in Sanjiangyuan (1980-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.271231. CSTR: 18406.11.Snow.tpdc.271231. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Che, T., Li, X., Jin, R., Armstrong, R., &Zhang, T.J. (2008). Snow depth derived from passive microwave remote-sensing data in China. Annals of Glaciology, 49, 145-154. (View Details )

Support Program

the National Natural Science Foundation of China (No:41771389)

In situ investigation on snow characteristics in the typical snow regions in China (No:2017FY100501)

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)