This data set is a global surface evapotranspiration product based on the PEW model. The PEW model is a water energy based surface energy balance model based on the assumption of equal proportion. Its principle is to couple the water heat balance framework based on the assumption of equal proportion on the Priestley Taylor (PT) evapotranspiration algorithm. PEW model can consider the influence of water balance constraint and energy budget process at the same time, which makes the simulation accuracy of PEW model improved compared with previous models to a certain extent. The input data of PEW include the meteorological and soil moisture changes of ERA5 land dataset. The time span of this dataset is from 1982 to 2018. The time resolution is month by month and the spatial resolution is 0.1 °. This data set can provide a basis for studying the long-term water cycle and climate change.

File naming and required software

The data is stored in tiff format, and the file name is "yyyymm. tif", such as "200207PEW_ET. tif", which corresponds to the average of ET elements in July 2002; The time resolution is month by month; The spatial resolution is 0.1 °.

Data Citations Data citation guideline What's data citation?

Cite as:

Fu, J., Wang, W. (2022). Global PEW Land Evapotranspiration Data Set (1982-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272874. CSTR: 18406.11.Terre.tpdc.272874. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Fu, J., Wang, W., Shao, Q., Xing, W., Cao, M., Wei, J., Chen Z., & Nie, W. (2022). Improved global evapotranspiration estimates using proportionality hypothesis-based water balance constraints. Remote Sensing Environ. 279, 113140. https://doi.org/10.1016/j.rse.2022.113140( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

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