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

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 improv...

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Autores principales:	Xi Jiang, Yanli Liu, Yongxiang Wu, Gaoxu Wang, Xuan Zhang, Qingbo Meng, Pengfei Gu, Tao Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	precipitation products southwest China multi-source quantitative analysis classification analysis Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/9e80ed9d63914051909821dd0b18cebc
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spelling	oai:doaj.org-article:9e80ed9d63914051909821dd0b18cebc2021-11-25T19:15:26ZEvaluation of the Performance of Multi-Source Precipitation Data in Southwest China10.3390/w132232002073-4441https://doaj.org/article/9e80ed9d63914051909821dd0b18cebc2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3200https://doaj.org/toc/2073-4441The 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.Xi JiangYanli LiuYongxiang WuGaoxu WangXuan ZhangQingbo MengPengfei GuTao LiuMDPI AGarticleprecipitation productssouthwest Chinamulti-sourcequantitative analysisclassification analysisHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3200, p 3200 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	precipitation products southwest China multi-source quantitative analysis classification analysis Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500
spellingShingle	precipitation products southwest China multi-source quantitative analysis classification analysis Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Xi Jiang Yanli Liu Yongxiang Wu Gaoxu Wang Xuan Zhang Qingbo Meng Pengfei Gu Tao Liu Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China
description	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.
format	article
author	Xi Jiang Yanli Liu Yongxiang Wu Gaoxu Wang Xuan Zhang Qingbo Meng Pengfei Gu Tao Liu
author_facet	Xi Jiang Yanli Liu Yongxiang Wu Gaoxu Wang Xuan Zhang Qingbo Meng Pengfei Gu Tao Liu
author_sort	Xi Jiang
title	Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China
title_short	Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China
title_full	Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China
title_fullStr	Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China
title_full_unstemmed	Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China
title_sort	evaluation of the performance of multi-source precipitation data in southwest china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9e80ed9d63914051909821dd0b18cebc
work_keys_str_mv	AT xijiang evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT yanliliu evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT yongxiangwu evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT gaoxuwang evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT xuanzhang evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT qingbomeng evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT pengfeigu evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina AT taoliu evaluationoftheperformanceofmultisourceprecipitationdatainsouthwestchina
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Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China

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