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author:

Du, F. (Du, F..) [1] | Hu, Q. (Hu, Q..) [2] | Wang, Y. (Wang, Y..) [3] | Yun, Z. (Yun, Z..) [4]

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EI Scopus PKU CSCD

Abstract:

Based on precipitation observations from rain gauges in the Taihu Lake Basin in Jiangsu Province from 1979 to 2019, the ability of MSWEP (multi-source weighted ensemble precipitation) to characterize daily and extreme precipitation with different durations was comprehensively analyzed. Results show that, in general, MSWEP can well reflect daily precipitations in the study area; however, its accuracy is relatively poor in the Huxi and Taihu Lake sub-areas, where hilly area is concentrated and water body is dominated, respectively, and it is difficult for MSWEP to capture rainstorm events on daily scale. MSWEP can roughly reflect the spatial structure of extreme precipitation with different durations in the study area, but there are some differences between MSWEP and gauge observations in details. With the increase of duration, the fitting accuracy of MSWEP extreme precipitation is improved, and MSWEP has a strong ability in characterizing extreme precipitation with a duration of 15 d or even longer. There is a significant linear negative correlation between the errors of MSWEP daily precipitation and extreme precipitation and precipitation intensity, and there are obvious phenomena of "lowvalue overestimation and high-value underestimation". Moreover, the accuracy of MSWEP is remarkably correlated with spatial scale. On the mean areal scale of the study area, the ability of MSWEP in characterizing daily precipitation and extreme precipitation is higher than that on the grid scale because of the spatial homogenization effect and the elimination of spatial scale mismatching. © 2023, Editorial Board of Water Resources Protection. All rights reserved.

Keyword:

accuracy index extreme precipitation global precipitation dataset MSWEP Taihu Lake Basin

Community:

  • [ 1 ] [Du F.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Du F.]State Key Laboratory of Hydrology-Water Resources, Hydraulic Engineering Science, Nanjing Hydraulie Research Institute, Nanjing, 210029, China
  • [ 3 ] [Hu Q.]State Key Laboratory of Hydrology-Water Resources, Hydraulic Engineering Science, Nanjing Hydraulie Research Institute, Nanjing, 210029, China
  • [ 4 ] [Hu Q.]Yangtze Institute for Conservation and Development, Nanjing, 210098, China
  • [ 5 ] [Wang Y.]State Key Laboratory of Hydrology-Water Resources, Hydraulic Engineering Science, Nanjing Hydraulie Research Institute, Nanjing, 210029, China
  • [ 6 ] [Wang Y.]Yangtze Institute for Conservation and Development, Nanjing, 210098, China
  • [ 7 ] [Yun Z.]State Key Laboratory of Hydrology-Water Resources, Hydraulic Engineering Science, Nanjing Hydraulie Research Institute, Nanjing, 210029, China
  • [ 8 ] [Yun Z.]State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China

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Source :

Water Resources Protection

ISSN: 1004-6933

CN: 32-1356/TV

Year: 2023

Issue: 4

Volume: 39

Page: 167-175

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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