The data is in the format of NetCDF and stored month by month. Due to the large amount of data, there are three (a, b, c) files each month, named as: wrfout_d02_yyyy-mm-01a.nc, wrfout_d02_yyyy-mm-01b.nc and wrfout_d02_yyyy-mm-01c.nc, where: yyyy represents year, mm represents month.
The file wrfout_d02_yyyy-mm-01a.nc contains the following variables: SR solid precipitation proportion; POTEVP cumulative potential evaporation; SNOPCX snow phase change heat flux; SOILTB soil bottom temperature; Q2 specific humidity at 2m height on the ground; T2 temperature at 2m height on the ground; PSFC ground pressure; U10 latitude component of 10m wind field on the ground; V10 longitude component of 10m wind field; SFROFF surface diameter Flow; UDROFF underground runoff; VEGFRA vegetation ratio; GRDFLX surface heat flux; SNOW snow water equivalent; SNOWH snow thickness.
The file wrfout_d02_yyyy-mm-01b.nc contains the following variables: snow density of RHOSN; water in canopies of CANWAT; TSK surface temperature; cumulus convective precipitation accumulated by RAINC; grid precipitation accumulated by RAINNC; downward short wave radiation flux at surface SWDOWN; downward long wave radiation flux at GLW surface; ALBEDO; Background albedo ALBBCK; soil temperature at lower boundary of TMN; PBLH planetary boundary layer height; HFX upward heat flux (sensible heat flux); GFX upward water flux (sensible heat flux); LAT latitude; LON longitude.
The file wrfout_d02_yyyy-mm-01c.nc contains the following variables: soil temperature of each layer of TSLB; soil moisture of each layer of SMOIS; soil water of each layer of SH2O.
1. Pan, X.D., Li, X., Shi, X.K., Han, X.J., Luo, L.H., Wang, L.X. (2012). Dynamic downscaling of near-surface air temperature at the basin scale using WRF–a case study in the Heihe River Basin, China. Frontiers of Earth Science, 6(3): 314-323, doi: 10.1007/s11707-012-0306-2.( View Details | Download | Bibtex)
2. Pan, X.D., Li, X.. (2011). Validation of WRF model on simulating forcing data for Heihe River Basin. Sciences in Cold and Arid Regions, 3(4): 344-357, doi: 10.3724/SP.J.1226.2011.00344.( View Details | Bibtex)Cite the data
PAN Xiaoduo. Hourly meteorological forcing & land surface state dataset of Tibet Plateau with 10 km spatial resolution (2000-2010). National Tibetan Plateau Data Center, 2019. doi: 10.11888/Meteoro.tpdc.270277. (Download the reference： RIS | Bibtex )
Using this data, you must reference article references listed in the Required Data Citation and reference data
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
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