The evaluation of latest GPM-Era precipitation data in Yellow River Basin

doi:10.6046/gtzyyg.2019.01.22

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Abstract

Based on the data from the rain gauge stations of the Yellow River Basin and using the evaluation index, extreme precipitation index and error analysis method, the authors studied the spatial and temporal variation characteristics of errors and the accuracy of data of two GPM satellite precipitation products (GSMap-gauged and GPM IMERG) obtained from April 2014 to March 2016 and analyzed the extreme precipitation capturing capability of the two products. The results showed that the two products generally underestimated precipitation in the western region of the basin and overestimated precipitation in the eastern part. Compared with GSMap-gauged, IMERG had bigger errors in most areas. In addition, the phenomenon of missing error in IMERG was more obvious due to elevation and precipitation intensity, but IMERG had a more accurate data for micro-precipitation. The daily scale data statistics showed that GSMap-gauged had a better relevance in each sub-basin, and its mean error is smaller. The correlation coefficient value of extreme precipitation index obtained by GSMap-gauged was higher than that of IMERG.

Keywords satellite precipitation products gauge error

TV125

Corresponding Authors: Shaowei NING E-mail: ning@hfut.edu.cn

Issue Date: 14 March 2019

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	Yuanyuan LI
	Shaowei NING
	Wei DING
	Juliang JIN
	Zheng ZHANG

Cite this article:

Yuanyuan LI,Shaowei NING,Wei DING, et al. The evaluation of latest GPM-Era precipitation data in Yellow River Basin[J]. Remote Sensing for Land & Resources, 2019, 31(1): 164-170.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.01.22 OR https://www.gtzyyg.com/EN/Y2019/V31/I1/164

Fig.1 Map of study area

Tab.1 Main performance parameters of the two latest satellite precipitation products

Tab.2 Extreme precipitation index table

Fig.2 Annual mean error distribution of two precipitation products in the Yellow River Basin

Fig.3 Variation of the error components for both satellite products by elevation

Fig.4 Frequency distributions of the total precipitation as well as the hit, missed and false precipitation

Fig.5 Spatial distributions of CC and ME at the daily scale

Fig.6 Spatial distributions of CC and ME at the monthly scale

Fig.7 Monthly precipitation data CC and RMSE values

Fig.8 Density-colored scatterplots of six extreme precipitation indices

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