Dataset of long term temperature and precipitation simulated by RegCM in Central Asia (1948-2011)- A Big Earth Data Platform for Three Poles

Regional climate mode RegCM4.3 parameter settings are as follows: horizontal resolution is 40 km, east and west 112 divisions

Point, 84 grid points in north-south direction, grid center is 74.21 ° E, 44.76 ° N, projection is Lambert projection, vertical stratification

It is divided into 23 layers, and the top pressure is 50 hPa; the initial boundary field uses ERA40 with a horizontal resolution of 2.5 °.

NCEP / NCAR then analyzes the data, the time series takes the pattern data and the site interpolation data is the common part of the time series.

SST data selection GISST (1948-2002), the planet boundary layer in the model is selected as Holtslag format, cumulus convection

The scheme is Emanuel MIT format, the side boundary conditions are exponential relaxation conditions, and the land surface process is described as BATs. In mode

Terrain data selection USGS GTOPO 30 30 ″ DEM digital elevation model, surface vegetation data selection USGS points

GLCC (global land cover characterization) with a resolution of 30 ″.

The data set is daily data, including surface pressure (hpa), 2m maximum temperature (K), 2m minimum temperature (K), 2m average temperature (K), and average surface precipitation (kg · m-2 · s-1)

Naming rules, xx_xxxx_YYYY.nc. Where YYYY is the year, xx represents Central Asia, and xxxx is the drive data name (ERA40, NCEP1 respectively).

File naming and required software

The data is stored in the format of NetCDF, with naming rules, XX ﹣ XXXX ﹣ yyyy.nc. Where yyyy is the year, XX represents Central Asia, XXXX is the name of driving data (era40, ncep1 respectively）
It can be read by programs or remote sensing software such as ArcGIS

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Cite as:

Bai, L., Li, L., Chen, X., Yin, G. (2016). Dataset of long term temperature and precipitation simulated by RegCM in Central Asia (1948-2011). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.270569. CSTR: 18406.11.Meteoro.tpdc.270569. (Download the reference： RIS | Bibtex )

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