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

[摘要] Tibetan Plateau (TP) is well known as Asia's water tower from where manylarge rivers originate. However, due to complex spatial variability inclimate and topography, there is still a lack of a high-quality rainfalldataset for hydrological modeling and flood prediction. This studytherefore aims to establish a high-accuracy daily rainfall product throughmerging rainfall estimates from three satellites, i.e., GPM-IMERG, GSMaPand CMORPH, based on a high-density rainfall gauge network. The new merged daily rainfall dataset with a spatialresolution of 0.1 ∘ focuses on warm seasons (10 June–31 October) from 2014 to 2019. Statistical evaluation indicated thatthe new dataset outperforms the raw satellite estimates, especially in termsof rainfall accumulation and the detection of ground-based rainfall events.Hydrological evaluation in the Yarlung Zangbo River basin demonstrated highperformance of the merged rainfall dataset in providing accurate and robustforcings for streamflow simulations. The new rainfall dataset additionallyshows superiority to several other products of similar types, includingMSWEP and CHIRPS. This new rainfall dataset is publicly accessible at https://doi.org/10.11888/Hydro.tpdc.271303 (Li and Tian, 2021).

[学科分类] 眼科学