This data provides 38 key parameters in the land surface model CLM4.0, involving hydrology, soil and vegetation. The detailed information about key parameters can be found in the attached documents. This data has about 1 degree resolution (f09 grid) globally, and also provides high resolution product (0.1 degree) in the Heihe region. Three objectives: evapotranspiration (ET), volumetric soil moisture (VSM) and freeze/thaw (FT) have been used to calibrate the 38 parameters. Each objective was used individually to calibrate parameters for each grid. The ET, VSM and FT datasets were provided by other groups in the save project. According to our assessment, the error of ET can be reduced 23%, VSM 52% and FT 34%. But since this is single objective optimization, the three improvements cannot be obtained simultaneously. The distribution of optimal parameters can be used for improving the structure of land surface model. The optimal parameters can be used directly by just replacing the corresponding number in the CLM source code.
.npz files are provided. Please load with python numpy.
P_Opt_global_ET.npz: global optimal parameters, use ET as objective function.
P_Opt_global_VSM.npz: global optimal parameters, use VSM as objective function.
P_Opt_global_FT.npz: global optimal parameters, use FT as objective function.
P_Opt_heihe_ET.npz: Heihe region optimal parameters, use ET as objective function.
P_Opt_heihe_VSM.npz: Heihe region optimal parameters, use VSM as objective function.
P_Opt_heihe_FT.npz: Heihe region optimal parameters, use FT as objective function.
GONG Wei. Global land surface model optimal parameters (2009-2011). National Tibetan Plateau Data Center, 2019. doi: 10.11888/Hydro.tpdc.270299. (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.
Satellite observation and simulation studies of the land surface water and energy exchange processes and its effects on global changes (No:2015CB953700)
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| East: 180.00 | West: -180.00 |
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| South: -90.00 | North: 90.00 |
