This data set includes evapotranspiration data set of the Tibet Plateau at the monthly scale from 1979 to 2018. The data set is based on the ERA5 net radiation and China meteorological forcing dataset (CMFD). The evapotranspiration is derived by the sigmoid generalized complementary equation, which is calibrated and verified by the observation data of 12 eddy flux sites and water balance data of 5 river basins (the source region of Yangtze river, the source region of Yellow River, the Nu River, the Yarlung Zangbo River, and the Hei River) on the Tibetan Plateau, which shows a high accuracy. The data set can be used to study the hydrological cycle and climate change in the Tibetan Plateau.

File naming and required software

Data storage format is standard NetCDF format, the variable is named as E_pre_CR in W m−2. The time, longitude and latitude information were included, which can be read directly by NCL, python, MATLAB and other software.

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Cite as:

Wang, L., Tian, F., Han, S., Li, K., Li, Y., Mahmut, T., Cao, X., Nan, Y., Cui, T., Hu, Y., Wang, W. (2021). Evapotranspiration dataset of the Tibet Plateau at the monthly scale (1979-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Meteoro.tpdc.271585. CSTR: 18406.11.Meteoro.tpdc.271585. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Wang, L., Tian, F., Han, S., Cui, T., Meng, X., & Hu, H. (2021). Determination of the asymmetric parameter in complementary relations of evaporation in alpine grasslands of the Tibetan Plateau, J. Hydrol., 127306, https://doi.org/10.1016/j.jhydrol.2021.127306.( View Details | Bibtex)

2. Wang, L.M., Han, S.J., Tian, F.Q., Li, K.B., Li, Y.K., Mahmut, T., Cao, X.J., Nan, Y., Cui, T., Hu, Z.Y., & Wang, W.G. (2022). The evaporation on the Tibetan Plateau stops increasing in the 21st century. Global and Planetary Change, In prepare.( 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

Hydrological simulation and prediction

Copyright & License

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