%0 Dataset
%T China rainfall erosivity (2015-2023): A new annual dataset inferred from national hourly meteorological station records
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U https://www.ncdc.ac.cn/portal/metadata/16770a84-2783-4f98-a164-bb0eae5a4e53
%W NCDC
%R 10.12072/ncdc.db7850.2026
%A Chen Songchao
%K Rainfall erosivity;soil erosion;precipitation
%X This dataset provides a 0.1° gridded product of multi-year mean and annual rainfall erosivity (R-factor) for China, derived from quality-controlled hourly precipitation observations at 57,740 meteorological stations over the period 2015-2023. It includes bias-corrected (×1.871) multi-year mean annual rainfall erosivity (2015-2023)  and annual rainfall erosivity for each year from 2015 to 2023 (uncorrected) in GeoTIFF format (WGS84, EPSG:4326). This dataset can support soil erosion assessment (e.g., RUSLE), hydrological modeling, land degradation studies, and climate change impact analysis. This dataset is asscoated to the "China rainfall erosivity (2015-2023): A new annual dataset inferred from national hourly meteorological station records" by Zeng et al. (2026).