Rainfall erosivity quantifies the effect of rainfall and runoff on the rate of soil loss. Maps of rainfall erosivity are needed for erosion assessment using the Universal Soil Loss Equation (USLE) and its successors. To improve erosivity maps that are currently available, hourly and daily rainfall data from 2381 stations for the period 1951-2018 were used to generate new R-factor and 1-in-10-year event EI30 maps for mainland China (available at 10.12275/bnu.clicia.rainfallerosivity.CN.001; Yue et al., 2020b). One-minute rainfall data from 62 stations, of which 18 had a record length >ĝ€¯29 years, were used to compute the "true"rainfall erosivity against which the new R-factor and 1-in-10-year EI30 maps were assessed to quantify the improvement over the existing maps through cross-validation. The results showed that (1) existing maps underestimated erosivity for most of the south-eastern part of China and overestimated for most of the western region; (2) the new R-factor map generated in this study had a median absolute relative error of 16ĝ€¯% for the western region, compared to 162ĝ€¯% for the existing map, and 18ĝ€¯% for the rest of China. The new 1-in-10-year EI30 map had a median absolute relative error of 14ĝ€¯% for the central and eastern regions of China, compared to 21ĝ€¯% for the existing map (map accuracy was not evaluated for the western region where the 1ĝ€¯min data were limited); (3) the R-factor map was improved mainly for the western region, because of an increase in the number of stations from 87 to 150 and temporal resolution from daily to hourly; (4) the benefit of increased station density for erosivity mapping is limited once the station density reached about 1 station per 10ĝ€¯000ĝ€¯km2.