A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons

Abstract. Tibetan Plateau (TP) is well known as Asia's water tower from where many large rivers originate. However, due to complex spatial variability in climate and topography, there still a lack of high-quality rainfall dataset for hydrological modeling flood prediction. This study therefore aims establish high-accuracy daily product through merging estimates three satellites, i.e., GPM-IMERG, GSMaP CMORPH, based on high-density gauge network. The new merged with resolution 0.1∘ focuses warm seasons (10 June–31 October) 2014 2019. Statistical evaluation indicated that the outperforms raw satellite estimates, especially terms accumulation detection ground-based events. Hydrological Yarlung Zangbo River basin demonstrated high performance providing accurate robust forcings streamflow simulations. additionally shows superiority several other products similar types, including MSWEP CHIRPS. publicly accessible at https://doi.org/10.11888/Hydro.tpdc.271303 (Li Tian, 2021).