The high-resolution atmosphere-hydrologic simulation dataset over Tibetan Plateau is prepared by WRFv4.1.1 model with grids of 191 * 355 and spatial resolution of 9 km, and a spatial range covering the entire plateau. The main physics schemes are configured with Thompson microphysics scheme, the rapid radiative transfer model (RRTM), and the Dudhia scheme for longwave and shortwave radiative flux calculations, respectively, the Mellor-Yamada-Janjic (MYJ) TKE scheme for the planetary boundary layer and the Unified Noah Land Surface Model. The time resolution is 3h and the time span is 2000-2010. Variables include: precipitation (Rain), temperature (T2) and water vapor (Q2) at 2m height on the ground, surface skin temperature (TSK), ground pressure (PSFC), zonal component (U10) and meridional component (V10) at 10m heigh on the ground, downward long-wave flux (GLW) and downward short-wave flux (SWDOWN) at surface, ground heat flux (GRDFLX), sensible heat flux (HFX), latent heat flux (LH), surface runoff (SFROFF) and underground runoff (UDROFF). The data can effectively support the study of regional climate characteristics, climate change and its impact over the Tibet Plateau, which will provide scientific basis for the sustainable development of the TP under the background of climate change.

File naming and required software

Data storage and naming method: the data is in NetCDF format and is stored year by year according to variables, such as T2_ wrfout_ d01_ 2000.nc is the T2 data of 2000. The storage method is [month | 12] x [day | 31] x [hour | 8] x [south| North | 191] x [west| 355], where month is the 12 months of the year, day is the number of days of each month (less than 31 days set as the default), and hour corresponds to 00/03/06/09/12/15/18/21 of each day, South_ North and West_ East gives longitude and latitude. The related longitude and latitude information, terrain and land use data are stored in file of Static_lat_lon_wrfout_d01.nc.

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Cite as:

Meng, X., Ma, Y. (2022). High resolution atmosphere-hydrologic simulation dataset over the Tibetan Plateau (2000-2010). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272748. CSTR: 18406.11.Atmos.tpdc.272748. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Ma, Y.Y., Hu, Z.Y., Xie, Q., Meng, X.H., Zhao, L., & Dong, W.J. (2022). Convection-permitting modeling over the Tibetan Plateau improves the simulation of Meiyu Rainfall during the 2011 Yangtze Plain flood. Atmospheric Research, 265, 105907, https://doi.org/10.1016/j.atmosres.2021.105907.( View Details | Download | Bibtex)

2. Ma, Y.Y., Yang, Y., & Wang, C.H. (2019). How essential of the balance between large and small scale features to reproduce precipitation during a sudden sharp turn from drought to flood. Climate dynamics, 52(7-8), 5013-5029.( View Details | 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)

Copyright & License

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