Daily and monthly precipitation datasetat 0.01°for the southwest China highland canyon area (2017 -2022)

To enhance the southwest China highland canyon area (SCHCA), this study constructed fused datasets at both monthly and daily scales for the period 2017-2022 based on GPM-IMERG and meteorological station observed precipitation data, combined with the MGWR(multiscale geographically weighted regression), TL-MGWR(time-lagged MGWR)and geographical difference analysis. Findings demonstrate that the fused precipitation dataseteffectively alleviated the overestimation issue of the original GPM measurements on both monthly and daily timescales, whileprovidinga more detailed spatial distribution. Moreover, the correction process significantly improved the precision of the downscaling results. Therefore, the fused precipitation data has good application potential in the southwestern mountainous canyon area.