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Article

Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China

by 1,2, 1,3,4, 1,3,*, 1,3, 1, 4,5, 1,6 and 1,2
1
Institute of Hydrology and Water Resources, Nanjing Hydraulic Research Institute, Nanjing 210029, China
2
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
3
Yangtze Institute for Conservation and Development, Nanjing 210098, China
4
Research Center for Climate Change of Ministry of Water Resources, Nanjing 210029, China
5
Hunan Hydro & Power Design Institute, Changsha 430100, China
6
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
*
Author to whom correspondence should be addressed.
Academic Editor: Momcilo Markus
Water 2021, 13(22), 3200; https://doi.org/10.3390/w13223200
Received: 3 October 2021 / Revised: 6 November 2021 / Accepted: 8 November 2021 / Published: 12 November 2021
The number of precipitation products at the global scale has increased rapidly, and the accuracy of these products directly affects the accuracy of hydro-meteorological simulation and forecast. Therefore, the applicability of these precipitation products should be comprehensively evaluated to improve their application in hydrometeorology. This paper evaluated the performances of six widely used precipitation products in southwest China by quantitative assessment and contingency assessment. The precipitation products were Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis 3B42 version 7 (TRMM 3B42 V7), Global Satellite Mapping of Precipitation (GSMaP MVK), Integrated Multi-satellitE Retrievals for GPM final run (GPM IMERG Final), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network—Climate Data Record (PERSIANN-CDR), Climate Hazards Infrared Precipitation with Stations version 2.0 (CHIRPS V2.0), and the Global Land Data Assimilation System version 2.0 (GLDAS V2.0). From the above six products, the daily-scale precipitation data from 2001 to 2019 were chosen to compare with the measured data of the rain gauge, and the data from the gauges were classified by river basin and elevation. All precipitation products and measured data were evaluated by statistical indicators. Results showed that (1) GPM IMERG Final and CHIRPS V2.0 performed well in the Yarlung Zangbo River (YZ) basin, while GPM IMERG Final and GLDAS V2.0 performed well in the Lantsang River (LS), Nujiang River (NJ), Yangtze River (YT), and Yellow River (YL) basins; (2) in the upper and middle reaches of the YZ basin, GPM IMERG Final and CHIRPS V2.0 were outstanding in all evaluated products; downstream of the YZ basin, all six products performed well; and upstream of the LS and NJ, GPM IMERG Final, TRMM 3B42 V7, CHIRPS V2.0, and GLDAS V2.0 can be recommended as a substitute for measured data; and (3) GPM IMERG Final and GLDAS V2.0 can be seen as substitutes for measured data when elevation is below 4000 m. GPM IMERG Final and CHIRPS V2.0 were recommended when elevation is above 4000 m. This study provides a reference for data selection of hydro-meteorological simulation and forecast in southwest China and also provides a basis for multi-source data assimilation and fusion. View Full-Text
Keywords: precipitation products; southwest China; multi-source; quantitative analysis; classification analysis precipitation products; southwest China; multi-source; quantitative analysis; classification analysis
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MDPI and ACS Style

Jiang, X.; Liu, Y.; Wu, Y.; Wang, G.; Zhang, X.; Meng, Q.; Gu, P.; Liu, T. Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China. Water 2021, 13, 3200. https://doi.org/10.3390/w13223200

AMA Style

Jiang X, Liu Y, Wu Y, Wang G, Zhang X, Meng Q, Gu P, Liu T. Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China. Water. 2021; 13(22):3200. https://doi.org/10.3390/w13223200

Chicago/Turabian Style

Jiang, Xi, Yanli Liu, Yongxiang Wu, Gaoxu Wang, Xuan Zhang, Qingbo Meng, Pengfei Gu, and Tao Liu. 2021. "Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China" Water 13, no. 22: 3200. https://doi.org/10.3390/w13223200

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