Long-term series of daily snow depth dataset over the Northern Hemisphere based on machine learning （1980-2019）
The data is stored in a TXT file every day. Each file is composed of a header file (header file) and a 1440 * 360 snow depth matrix. Each snow depth value represents a 0.25 ° 0.25 ° grid. This data set is prepared according to the defined hydrological year (from September 1 of the previous year to May 31 of the current year) for the characteristics of snow depth over time. Taking the hydrological year of 1980 as an example, the data are 1980001 to 1980274, 1980001 represents September 1, 1979, 1980274 represents May 31, 1980, and so on. After adding the header file to the txt document, it can be displayed in ArcMap software.
Che, T., Hu, Y., Dai, L., Xiao, L. (2021). Long-term series of daily snow depth dataset over the Northern Hemisphere based on machine learning （1980-2019）. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.271701. (Download the reference： RIS | Bibtex )Related Literatures:
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)
Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19070100) [XDA19070100]
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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)
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