The atmospheric forcing data in the Heihe River Basin (2000-2018)
Each file contains hourly simulation for a whole month, with UTC time system in netcdf data format. Each file is named as: wrfout_heihe_yyyy_mm_01, where "wrfout_heihe_" is a fixed format, representing the result of nesting in the second layer for Heihe region, yyyy is the year, mm is the month, and "01" is the representative of every month starting from 1st day.
Pan, X. (2020). The atmospheric forcing data in the Heihe River Basin (2000-2018). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271245. CSTR: 18406.11.Meteoro.tpdc.271245. (Download the reference： RIS | Bibtex )Related Literatures:
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 | Download | Bibtex)
3. Pan, X.D., Ma, H.Q. (2019). Near-Surface Hourly Atmospheric Driving Data at 0.05°×0.05°based on WRF Model Simulation over 2000-2016 Years for the Heihe River Basin. Plateau Meteorology, 38(1): 209-219.( View Details | Download | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Pan, X.D., Li, X., Yang, K., He, J., Zhang, Y.L., Han, X.J.. (2014). Comparison of Downscaled Precipitation Data over a Mountainous Watershed: A Case Study in the Heihe River Basin. Journal of Hydrometeorology, 15(4): 1560-1574. (View Details | Download )
2.Pan, X.D., Li, X., Cheng, G.D., Li, H.Y., He, X.B.. (2015). Development and evaluation of a river-basin-scale high spatio-temporal precipitation data set using the WRF model: a case study of the Heihe River Basin. Remote Sensing, 7(7): 9230-9252. (View Details | Download )
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|East: 102.50||West: 97.50|
|South: 37.50||North: 42.50|