Evaluation of satellite-based precipitation products from GPM IMERG and GSMaP over the three-river headwaters region, China

Author:

Wang Hua1,Yuan Yixian1,Zeng Suikang2,Li Wuyan3,Tang Xiaobo1

Affiliation:

1. Zhejiang University of Finance and Economics Dongfang College, Haining 314408, China

2. POWERCHINA Sichuan Electric Power Engineering Co., Ltd, Chengdu 610041, China

3. Zhejiang University of Finance & Economics, Hangzhou 310018, China

Abstract

Abstract The three-river headwaters region (TRHR) is the birthplace of the Yangtze River, the Yellow River and the Lantsang River in China. Based on the grid surface precipitation data released by China Meteorological Administration (CMA), this paper evaluated the accuracy and error components of four near-real-time satellite precipitation products (GSMaP-NRT, GSMaP-MVK, IMERG-Early and IMERG-Late) in the era of a GPM (Global Precipitation Measurement) in TRHR. The conclusions are as follows: (1) The precipitation in TRHR is concentrated in the east and south, and the precipitation in the west is very low. IMERG (Early and Late) has a good spatial distribution of precipitation, while GSMaP has an obvious spatial smoothing of precipitation distribution, and does not better highlight the local precipitation characteristics. (2) The inversion accuracy of the satellite products is the best in the source region of the Lantsang River, followed by the source region of the Yellow River. The satellite products all show the lower correlation coefficient and serious underestimation of precipitation in the west of the TRHR. In addition, the closer to the west of the TRHR, the lower hit rate and the higher false alarm rate of the satellite products, especially the NRT and MVK products. In the eastern margin of the Yellow River headwater region and the Lantsang River headwater Region, RMSE and overestimated precipitation were higher in NRT and MVK, and FAR was higher in spite of higher POD and CSI. (3) The errors of GSMaP in the source region of the Yellow River and the Lantsang River are mainly caused by misreporting precipitation and overestimating the precipitation level, while the errors of GSMaP in the west of the TRHR are mainly caused by missing measurements of precipitation events. The underestimated precipitation of IMERG mainly comes from the missed measurement of precipitation and the underestimate of precipitation level, and there is no large false precipitation. (4) In addition, we found that the satellite products in the lake distribution area of the TRHR have serious missed precipitation errors, indicating that the GPM satellite products have the poor detection ability of precipitation near plateau lakes. On the whole, the precipitation inversion accuracy of IMERG (Early and Late) products is higher, which can better detect the occurrence of precipitation events, but the estimation of precipitation level is still not accurate. The precision of precipitation of satellite products near inland lakes on the plateau is poor, so the algorithm improvement of new products needs to be further solved in the future.

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference29 articles.

1. Modeling monthly mean air temperature for Brazil;Theoretical and Applied Climatology,2013

2. Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil Province, Iran;International Journal of Remote Sensing,2019

3. Evaluation of gridded precipitation datasets in Malaysia;Remote Sensing (Basel),2020

4. The global precipitation measurement mission;Bulletin of the American Meteorological Society,2013

5. First results from the Integrated Multi-Satellite Retrievals for GPM (IMERG),2015

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