New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau

Abstract. The risk of water erosion on the Tibetan Plateau (TP), a typical fragile ecological area, is increasing with climate change. A rainfall erosivity map useful for understanding spatiotemporal pattern and identifying hot spots soil erosion. This study generates an annual gridded dataset 0.25∘ grid TP in 1950–2020. 1 min precipitation observations at 1787 weather stations 7 years hourly European Center Medium-Range Weather Forecasts Reanalysis 5 (ERA5) data 71 are employed this study. Our results indicate that ERA5-based estimates have marked tendency to underestimate when compared station-based estimates, because systematic biases ERA5 including large underestimation maximum contiguous 30 peak intensity relatively slight overestimation event erosive amounts. multiplier factor over TP, which was generated by inverse distance-weighted method based relative changes between available values corresponding values, correct then reconstruct dataset. multiyear average correction coefficient newly released 0.67. In addition, probability density various quantile new generally consistent values. offer view large-scale variability address growing need information predict rainfall-induced hazards TP. from National Plateau/Third Pole Environment Data (https://doi.org/10.11888/Terre.tpdc.271833; Chen, 2021).