This product provides the data set of key variables of the water cycle of Arctic rivers (North America：Mackenzie, Eurasia：Lena) from 1998 to 2017, including 7 variables: precipitation, evapotranspiration, surface runoff, underground runoff, glacier runoff, snow water equivalent and three-layer soil humidity, which are numerically simulated by the land surface model vic-cas developed by the project team. The spatial resolution of the data set is 50km and the temporal resolution is month. This data set can be used to analyze the change of water balance in the Arctic River Basin under climate change, and can also be used to compare and verify remote sensing data products and the simulations of other models.

File naming and required software

The data is stored in NetCDF format, with a folder for each watershed. The name of the file is "fluxes_monthly_1998-01.nc". The units and attributes of specific variables can be viewed through the variable description of the NC file.

Data Citations Data citation guideline What's data citation?

Cite as:

Zhao, Q., Wang, N., Wu, Y. (2022). Datasets of Key Variables of Historical Water Cycle in Two Large River Basins in the Arctic (1998-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272731. CSTR: 18406.11.Terre.tpdc.272731. (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

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

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

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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