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[1]LIU Yifeng,WANG Xiaoqin,WU Siying,et al.Comparative Analysis of Applicability of GPM and TRMM Satellite Precipitation Data in Fujian Province[J].Research of Soil and Water Conservation,2019,26(06):311-316.

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Comparative Analysis of Applicability of GPM and TRMM Satellite Precipitation Data in Fujian Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 06 Page number: 311-316 Column: Public date: 2019-10-17

Title:: Comparative Analysis of Applicability of GPM and TRMM Satellite Precipitation Data in Fujian Province

Author(s):: LIU Yifeng, WANG Xiaoqin, WU Siying, LIN Mengjing; National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou 350108, China

Keywords:: Fujian Province; GPM; TRMM; precipitation; time scale

CLC:: TP753;P412.27

DOI:: -

Abstract:: Rainfall is the external dynamic factor that causes soil erosion. Satellite rainfall products can effectively overcome the discontinuity of conventional rainfall observation data in space and have obvious spatial distribution advantages. In order to explore the adaptability of satellite rainfall products in Fujian Province, using the observational data of 22 meteorological stations in Fujian Province, a comparative analysis on the global rainfall measurement GPM and tropical rainfall measurement TRMM at different time scales of day, ten days, months and seasons was carried out. The results show that with the increase of time scale, the correlation of GPM and TRMM with the measured data on the ground also increases, and the daily root mean square error (RMSE^*) decreases gradually, especially the RMSE^* drops steeply from day to ten-day scale, however, the difference between RMSE^* of ten-day scale and that of the month scale was not obvious; the slope of the fitting line between satellite products and the measured data of the station gradually tends to be 1; the correlation is lower than 0.5, and the correlation of RMSE^* is greater than 13 mm/d at the daily scale, and the correlation is between 0.7~0.8, and RMSE^* is less than 5 mm/d at the ten-day scale; with respect to the monthly scale, the correlation is between data of GPM and TRMM and the observed data is greater than 0.9, the accuracy of GPM data is better than that of TRMM data, but the accuracy of TRMM data is higher than that of GPM data in the southeast coast of Fujian Province; with respect to the quarterly scale, the accuracy of the two satellite products is negatively correlated with the total seasonal rainfall, and there is a great seasonal difference; When a lot of rain occurs in summer, the r and K values are low and RMSE is the highest; when little rain occurs in winter, it is more consistent with the measured data on the ground, r and K values are the highest and RMSE is the lowest, precision is also high in spring and autumn; the precision of GPM is better than that of TRMM in different seasons. According to the results of different time scales, the two kinds of satellite rainfall data both have high accuracy, while the GPM satellite precipitation data has higher spatial resolution and higher data precision in Fujian Province and more suitability for regional applications.

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