全球降雨计划GSMaP与IMERG卫星降雨产品在陕西地区的精度评估

doi:10.12118/j.issn.1000–6060.2021.027

Abstract

Abstract:

The Global Precipitation Measurement (GPM) mission is an international network of satellites that provide next-generation global observations of rain and snow. GPM was initiated by NASA and JAXA as a global successor to the Tropical Rainfall Measurement Mission (TRMM). In the GPM era, IMERG and GSMaP are two main satellite-based precipitation products. Compared with TRMM, GPM has wider coverage and higher spatiotemporal resolution. Understanding the accuracy and reliability of these products is important to further promote the application of new high-resolution satellite precipitation products. Therefore, this study intends to evaluate and compare the accuracy of IMERG and GSMaP in Shaanxi Province, China. In this paper, with surface precipitation observation datasets acquired from the China Meteorological Data Network used as reference, six evaluation indices, namely, correlation coefficient, root mean squared error, relative bias, false alarm ratio, probability of detection, and critical success index, were employed to evaluate and compare their accuracy at different temporal scales. Their performance in monitoring heavy rainfall events was also analyzed. Results show the following: (1) At an annual scale, the accuracy of GSMaP is higher than that of IMERG. GSMaP is highly correlated with the ground observation, while IMERG is moderately correlated with the ground observation. GSMaP overestimates the precipitation at an annual scale, whereas IMERG underestimates the precipitation. (2) At the seasonal scale, both data have the highest accuracy during summer. Overall, IMERG has a higher data accuracy than GSMaP. (3) At a monthly scale, the two products show a high correlation with the ground observation, but a certain degree of overestimation is observed. IMERG has a relatively higher accuracy than GSMaP. (4) At a daily scale, the accuracy of GSMaP is higher than that of IMERG. (5) The accuracy of satellite precipitation products is related to total precipitation volume, which is generally overestimated when the precipitation volume is small and underestimated when the volume is large. (6) The accuracy of satellite precipitation product data shows obvious regional differences. GSMaP underestimates the precipitation in Shaanxi Province as a whole, especially in northern Shaanxi. IMERG slightly overestimates the precipitation in Guanzhong, but significantly underestimates the precipitation in northern and southern Shaanxi. (7) An analysis of four heavy precipitation events shows that the monitoring capability for heavy precipitation events of GSMap is slightly stronger than that of IMERG. This study is expected to provide a reference for the selection and application of precipitation data in meteorological and hydrological studies in this area.

Key words: satellite precipitation products, global precipitation observation plan (GPM), heavy precipitation events, accuracy assessment

LI Yanni,HUANG Chang,PANG Guowei. Accuracy assessment of GSMaP and IMERG satellite precipitation products in Shaanxi Province[J].Arid Land Geography, 2022, 45(1): 80-90.

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References 33

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卫星降雨产品	时间分辨率/h	空间分辨率/(°)	覆盖范围	数据来源
IMERG	0.5	0.1	90°N~90°S	NASA
GSMaP	1.0	0.1	60°N~60°S	JAXA

卫星降雨产品	相关系数（CC）	均方根误差（RMSE）/mm	相对偏差（BIAS）/%
IMERG	0.56	77.69	-11.41
GSMaP	0.89	92.65	13.60

卫星降雨产品	CC	RMSE/mm	BIAS/%
IMERG	0.95	2.77	4.29
GSMaP	0.94	7.41	11.46

卫星降雨产品	CC	RMSE/mm	BIAS/%
IMERG	0.50	3.75	-27.23
GSMaP	0.62	2.38	-17.27

区域	卫星降雨产品	命中率（POD）	误报率（FAR）	关键成功指数（CSI）
陕北	IMERG	0.36	0.29	0.31
陕北	GSMaP	0.55	0.54	0.33
关中	IMERG	0.67	0.33	0.50
关中	GSMaP	0.80	0.20	0.67
陕南	IMERG	0.64	0.22	0.54
陕南	GSMaP	0.72	0.35	0.52

Accuracy assessment of GSMaP and IMERG satellite precipitation products in Shaanxi Province

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