Preprints
https://doi.org/10.5194/essd-2021-179
https://doi.org/10.5194/essd-2021-179

  26 Jul 2021

26 Jul 2021

Review status: this preprint is currently under review for the journal ESSD.

A High-Accuracy Rainfall Dataset by Merging Multi-Satellites and Dense Gauges over Southern Tibetan Plateau for 2014–2019 Warm Seasons

Kunbiao Li1, Fuqiang Tian1, Mohd Yawar Ali Khan2, Ran Xu1, Zhihua He3, Long Yang4, Hui Lu5, and Yingzhao Ma6 Kunbiao Li et al.
  • 1Department of Hydraulic Engineering, Tsinghua University, Beijing, China
  • 2Department of Hydrogeology, King Abdul-Aziz University, Jeddah, Saudi Arabia
  • 3Centre for Hydrology, University of Saskatchewan, Saskatoon, SK S7N 5C8, Canada
  • 4School of Geography and Ocean Science, Nanjing University, Nanjing, China
  • 5Department of Earth System Science, Tsinghua University, Beijing, China
  • 6Department of Civil & Environment Engineering, Colorado State University, FT COLLINS, CO, USA

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

Kunbiao Li et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-179', Anonymous Referee #1, 15 Aug 2021
    • AC1: 'Reply on RC1', Kunbiao Li, 06 Sep 2021
  • RC2: 'Comment on essd-2021-179', Anonymous Referee #2, 31 Aug 2021
    • AC2: 'Reply on RC2', Kunbiao Li, 06 Sep 2021

Kunbiao Li et al.

Data sets

A High-Accuracy Rainfall Dataset by Merging Multi-Satellites and Dense Gauges over Southern Tibetan Plateau (2014-2019 Warm Seasons) LI Kunbiao, TIAN Fuqiang https://doi.org/10.11888/Hydro.tpdc.271303

Kunbiao Li et al.

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Short summary
Due to complex climate and topography, there is still a lack of high-quality rainfall dataset for hydrological modelling over Tibetan Plateau. This study aims to establish a high-accuracy daily rainfall product over southern Tibetan Plateau through merging satellite rainfall estimates, based on a high-density rainfall gauge network. Statistical and hydrological evaluation indicated that the new dataset outperforms the raw satellite estimates and several other products of similar types.