Preprints
https://doi.org/10.5194/essd-2021-443
https://doi.org/10.5194/essd-2021-443
 
03 Feb 2022
03 Feb 2022
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau

Yueli Chen1, Xingwu Duan2, Minghu Ding1, Wei Qi1, Ting Wei1, and Jianduo Li3 Yueli Chen et al.
  • 1Institute of Tibetan Plateau and Polar Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
  • 2Institute of International Rivers and Eco-security, Yunnan University, Kunming, 650091, China
  • 3China Meteorological Administration Earth System Modeling and Prediction Centre, Beijing, 100081, China

Abstract. The risk of water erosion on the Tibetan Plateau (TP), a typical fragile ecological area, is increasing with climate change. Rainfall erosivity maps are useful for understanding the spatiotemporal patterns of rainfall erosivity and identifying vulnerable regions. This study generated a gridded annual rainfall erosivity dataset of the TP for 1950–2020 using a new approach based on 1-min precipitation observations at 1787 weather stations and 0.25° hourly European Center for Medium-Range Weather Forecasts Reanalysis 5 (ERA5) precipitation data. We conclude that ERA5 is generally useful for mapping annual rainfall erosivity on the TP, considering the high correlation coefficient and consistent spatiotemporal patterns between the ERA5-based and observed annual rainfall erosivity. In addition, obvious underestimation of the ERA5-based annual rainfall erosivity was found. After correction by a multiplier factor map, the annual rainfall erosivity values for 2013–2020 are in good agreement with the observed values in terms of the correction coefficient and probability density. Finally, a new annual rainfall erosivity dataset for 1950–2020 was produced after the ERA5-based annual rainfall erosivity values were corrected. We found that the area-averaged mean annual rainfall erosivity on the TP is 307 MJ·mm·ha−1·h−1 and tends to decrease from southeast to northwest. Key regions with large rainfall erosivity potential are concentrated in the Bomi–West Sichuan and Dawang–Chayu areas. This new annual rainfall erosivity dataset could extend our knowledge of rainfall erosivity patterns and provide fundamental data for quantifying soil erosion in the TP.

Yueli Chen et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-443', Anonymous Referee #1, 21 Feb 2022
    • AC1: 'Reply on RC1', Yueli Chen, 14 Apr 2022
  • RC2: 'Comment on essd-2021-443', Anonymous Referee #2, 02 Mar 2022
    • AC2: 'Reply on RC2', Yueli Chen, 14 Apr 2022
  • RC3: 'Comment on essd-2021-443', Anonymous Referee #3, 03 Mar 2022
    • AC3: 'Reply on RC3', Yueli Chen, 14 Apr 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-443', Anonymous Referee #1, 21 Feb 2022
    • AC1: 'Reply on RC1', Yueli Chen, 14 Apr 2022
  • RC2: 'Comment on essd-2021-443', Anonymous Referee #2, 02 Mar 2022
    • AC2: 'Reply on RC2', Yueli Chen, 14 Apr 2022
  • RC3: 'Comment on essd-2021-443', Anonymous Referee #3, 03 Mar 2022
    • AC3: 'Reply on RC3', Yueli Chen, 14 Apr 2022

Yueli Chen et al.

Data sets

New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau Yueli Chen, Xingwu Duan, Minghu Ding, Wei Qi, Ting Wei, Jianduo Li https://doi.org/10.11888/Terre.tpdc.271833

Yueli Chen et al.

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Short summary
As the Third Pole in the world, the risk of water erosion in the Tibetan Plateau (TP) continues to increase with climate change. The soil erosion estimation largely depends on the accuracy of rainfall erosivity. Based on dense precipitation observations and ERA5 reanalysis data, we produced a new rainfall erosivity dataset of the TP in 1950–2020, which supplies a fundamental data for quantifying the soil erosion in the TP, and also extends our knowledge of the rainfall-related hazard prediction.