Abstract: The rainfall erosivity R is an important factor for calculating soil erosion, and its accurate calculation is of great significance for the dynamic monitoring of soil erosion.This paper uses remote sensing data and geographic information system(GIS) technology, along with the geographic detector model, to analyze the distribution characteristics and influencing factors of the rainfall erosivity R in the Qinghai-Tibet Plateau from 1991 to 2020.The research results show that:(1) The interannual variation of the R value in the Qinghai-Tibet Plateau generally exhibited a high in the northwest and a low in the southeast distribution pattern, with a coefficient of variation ranging from 0 to 0.78.Regions with large interannual variations were mainly distributed in the northwest part of the Qinghai-Tibet Plateau, including Hotan, Ngari, and some areas of Bayingolin Mongol Autonomous Prefecture, while regions such as Zhamba County and Gar County had smaller interannual variations.The values of the rainfall erosivity R in the Qinghai-Tibet Plateau ranged from 0 to 15 532 MJ·mm/(hm2·h·a),with a mean value of 648.84 MJ·mm/(hm2·h·a).The R value decreased from east to west, showing a distinctly banded distribution pattern.A significant high-value center was found in the southern part of the Qinghai-Tibet Plateau.(2) The influence detection results indicated that the minimum temperature has the highest explanatory power, with a q value of 0.453,dominating the spatiotemporal distribution characteristics of the rainfall erosivity R.(3) The interaction detection results showed that the synergistic effects among various factors on the Qinghai-Tibet Plateau exhibited either a two-factor enhancement or a nonlinear enhancement relationship, significantly surpassing the single-factor effects.The interaction effect among climate factors had a prominent impact on the rainfall erosivity R.