1)The data includes average rainfall erosivity raster data for 65 countries, with a spatial resolution of 1 kilometers. 2）The 0.5°×0.5° grid daily rainfall data generated by the Climate Prediction Center (CPC) based on global site data was used to calculate the rainfall erosivity R factor of 20 countries in key regions. 3）The R value was calculated using the daily rainfall data from 2358 weather stations of the China Meteorological Administration from 1986 to 2015, and the R value calculated by establishing the CPC data source was reviewed and revised. The quality of the finally obtained data was good . 4）Rainfall erosivity R factor is used as the driving factor of the CSLE model, and its data is the basis of soil erosion simulation and spatial pattern analysis in 65 countries, and it is of great importance for the study of soil erosion mechanism.

File naming and required software

XDA200402022-G65_ R. Zip: where xda20040202 is the sub subject number, 2 is the sub subject number, G65 represents 65 countries, R represents rainfall erosivity, GeoTIFF format, which can be opened, viewed and analyzed by ArcGIS

Data Citations Data citation guideline What's data citation?

Cite as:

Zhang, W. (2021). Dataset of R-factor of rainfall erosivity with 1km resoluton in 65 countries (1986-2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Soil.tpdc.271764. CSTR: 18406.11.Soil.tpdc.271764. (Download the reference： RIS | Bibtex )

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

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)