The data set is China's monthly potential evapotranspiration, with a spatial resolution of 0.0083333 ° (about 1km) and a time of 1990.1-2020.12 (to be updated every year), with a unit of 0.1mm. This data set is based on the monthly average temperature, minimum temperature and maximum temperature data set of 1km in China (published by this station, Peng at al. 2019) and obtained by using Hargreaves potential evapotranspiration calculation formula (Peng at al. 2017). The formula is as follows: pet = 0.0023 × S0 × (MaxT − MinT)0.5 × (mean + 17.8), where pet is the potential evapotranspiration, mm / month; Maxt, mint and mean are the monthly highest temperature, lowest temperature and average temperature respectively; S0 is the theoretical solar radiation reaching the top of the earth's atmosphere, which is calculated according to the solar constant, solar terrestrial distance, Julian day, declination, etc. In order to facilitate storage, the data are int16 and stored in NC (NetCDF) files. NC data can be opened by ArcMap software and extracted and processed by MATLAB and R software.

File naming and required software

Stored in NC format, the file name is "pet_yyyy. NC", where yyyy is the year, and each NC file contains 12 time points, representing January to December. In order to reduce the storage capacity, compressed files have been stored, such as pet_ yyyy. rar。 NC format can be opened with ArcMap multidimensional data tool, or MATLAB, R, etc.

Data Citations Data citation guideline What's data citation?

Cite as:

Peng, S. (2022). 1 km monthly potential evapotranspiration dataset in China (1990-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11866/db.loess.2021.001. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Peng, S.Z., Ding, Y.X., Wen, Z.M., Chen, Y.M., Cao, Y., & Ren, J.Y. (2017). Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100. Agricultural and Forest Meteorology, 233, 183-194. https://doi.org/10.1016/j.agrformet.2016.11.129( View Details | Bibtex)

2. Ding, Y.X., Peng, S.Z. (2020). Spatiotemporal Trends and Attribution of Drought across China from 1901–2100. Sustainability, 12, 2, 477. https://doi.org/10.3390/su12020477( View Details | Bibtex)

3. Ding, Y.X., Peng, S.Z. (2021). Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-021-03625-w( View Details | Bibtex)

4. Peng, S.Z., Ding, Y.X., Liu, W.Z., & Li, Z. (2019). 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11, 1931–1946. https://doi.org/10.5194/essd-11-1931-2019( 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

Second Tibetan Plateau Scientific Expedition Program

National Natural Science Foundation of China (42077451)

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)