Snow water equivalent (SWE) is an important parameter of the surface hydrological model and climate model. The data is based on the ridge regression algorithm of machine learning, which integrates a variety of existing snow water equivalent data products to form a set of snow water equivalent data products with continuous time series and high accuracy. The spatial range of the data is Pan-Arctic (45 N° to 90 N °), The data time series is 1979-2019. The dataset is expected to provide more accurate snow water equivalent data for the hydrological and climate model, and provide data support for cryosphere change and global change.

File naming and required software

File name: snow water equivalent data is stored in NetCDF format, and the file name is "Arctic_SWE_yyyy.nc ", where yyyy stands for the year, such as Arctic_SWE_1979.nc represents the daily grid snow water equivalent dataset in 1979 described in this NetCDF file.
The data reading mode: the data set can be viewed by using Panoply or PyNcView software, and can be processed by using Linux CDO command line tool, or Python netCDF4 library and xarray library.

Data Citations Data citation guideline What's data citation?

Cite as:

Li, H., Shao, D., Li, H., Wang, W., Ma, Y., Lei, H. (2021). Arctic Snow Water Equivalent Grid Dataset (1979-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Snow.tpdc.271556. CSTR: 18406.11.Snow.tpdc.271556. (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.

Support Program

Chinese Academy of Sciences through the Strategic Priority Research Program (No:XDA19070302)

Science & Technology Basic Resources Investigation Program of China “Investigation on snow characteristics and their distribution in China” (No:2017FY100503)

Copyright & License

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