Terrestrial evapotranspiration dataset across China (1982-2017)

Terrestrial evapotranspiration dataset across China (1982-2017)

This dataset (version 1.5) is derived from the complementary-relationship method, with inputs of CMFD downward short- and long-wave radiation, air temperature, air pressure, GLASS albedo and broadband longwave emissivity, ERA5-land land surface temperature and humidity, and NCEP diffuse skylight ratio, etc. This dataset covers the period of 1982-2017, and the spatial coverage is Chinese land area. This dataset would be helpful for long-term hydrological cycle and climate change research.

Land surface actual evapotranspiration (Ea),unit: mm month-1.

The spatial resolution is 0.1-degree;

The temporal resolution is monthly;

The data type is NetCDF;

This evapotranspiration dataset is only for land surface.

File naming and required software

The file is named Ea_1982_2017_CR.nc, which can be viewed and edited by ncviewer software.

Data Citations Data citation guideline What's data citation?
Cite as:

Ma, N., Jozsef, S., Zhang, Y., Liu, W. (2019). Terrestrial evapotranspiration dataset across China (1982-2017). A Big Earth Data Platform for Three Poles, DOI: 10.11888/AtmosPhys.tpe.249493.file. CSTR: 18406.11.AtmosPhys.tpe.249493.file. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Ma, N., Szilagyi, J., Zhang, Y.S., &Liu, W.B. (2019). Complementary-relationship-based modeling of terrestrial evapotranspiration across China during 1982-2012: Validations and spatiotemporal analyses. Journal of Geophysical Research: Atmospheres, 124.( View Details | Bibtex)

2. Ma, N., & Szilagyi, J. (2019). The CR of evaporation: A calibration‐free diagnostic and benchmarking tool for large‐scale terrestrial evapotranspiration modeling. Water Resources Research, 55, 7246-7274. doi: 10.1029/2019wr024867.( 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

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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

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Geographic coverage
East: 140.00 West: 70.00
South: 15.00 North: 55.00
  • Temporal resolution: Monthly
  • Spatial resolution: km
  • File size: 461 MB
  • Views: 44998
  • Downloads: 3006
  • Access: Requestable
  • Temporal coverage: 1982-01-01 To 2017-12-31
  • Updated time: 2022-04-18
: MA Ning   Jozsef Szilagyi   ZHANG Yinsheng   LIU Wenbin  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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