Meteorological forcing dataset for Arctic River Basins (1961-2018)- A Big Earth Data Platform for Three Poles

Meteorological forcing dataset for Arctic River Basins includes five elements: daily maximum, minimum and average temperature, daily precipitation and daily average wind speed. The data is in NetCDF format with a horizontal spatial resolution of 0.083°, covering Yenisy, Lena, ob, Yukon and Mackenzie catchments. The data can be used to dirve hydrolodical model (VIC model) for hydrological process simulation of the Arctic River Basins. The further quality control were made for daily observation data from Global Historical Climatology Network Daily database(GHCN-D), Global Summary of the Day (GSPD),The U.S. Historical Climatology Network (USHCN),Adjusted and homogenized Canadian climate data (AHCCD) and USSR / Russia climate data set (USSR / Russia). The thin plate spline interpolating method, which similar to the method used in PNWNAmet datasets (Werner et al., 2019), was employed to interpolate daily station data to 5min spatial resolution daily gridded forcing data using WorldClim and ClimateNA monthly climate normal data as a predictor.

File naming and required software

The data of the whole region is divided into two parts, one is the data for Mackenize and Yukon basins in North America, the other is the data for Lena, yenisy and Ob basins in Eurasia. Each meteorological element is stored in a separate folder.The format is NetCDF. The name of the file, prec_ daily_ yyyy_ Yyyy.nc, prec is the name of meteorological elements (precipitation), yyyy is the year. The unit of air temperature is centigrade, the precipitation is daily accumulated precipitation (mm), and the unit of wind speed is m/s.

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Cite as:

Zhao, Q., Wu, Y. (2021). Meteorological forcing dataset for Arctic River Basins (1961-2018). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

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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]

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