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[1]PAN Hong,QIU Xin-fa,GAO Ting,et al.Study on the Estimation of Precipitation with the Data of TRMM and NCEP-FNL[J].Research of Soil and Water Conservation,2014,21(02):116-122.

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Study on the Estimation of Precipitation with the Data of TRMM and NCEP-FNL

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 21 Number of periods: 2014 02 Page number: 116-122 Column: Public date: 2014-04-28

Title:: Study on the Estimation of Precipitation with the Data of TRMM and NCEP-FNL

Author(s):: PAN Hong¹, QIU Xin-fa¹, GAO Ting², HE Yong-jian¹, SHI Jian-qiao³; 1. School of Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China;
2. Zhejiang Provincial Meteorological Information Network Center, Hangzhou 310017, China;
3. Unit 61, No 94783 of PLA, Changxiang, Zhejing 313111, China

Keywords:: TRMM; NCEP-FNL; precipitation; prevailing wind; terrain

CLC:: P333.1

DOI:: -

Abstract:: In this paper, for the sake of TRMM data better application in our country, we presented a computational model for estimation of precipitation based on the data from TRMM and NCEP-FNL. With the prevailing wind direction of each month calculated by NCEP-FNL data, and coupled with the observational data of meteorological station and DEM data, a monthly stepwise regression algorithm for a certain region was constructed. By employing the estimation model, we obtained the spatial distribution of precipitation of China in January, April, July and October from 2000 to 2007. Further analysis and calculation showed that the averaged absolute errors for January, April, July and October were 2.2 mm, 5.8 mm, 16.9 mm and 6.0 mm, respectively; and the averaged relative errors are 19.3%, 14.2%, 13.4% and 18.9%, respectively. The estimated data significantly diminishes the errors of that from TRMM. Moreover, the global distribution of precipitation remains almost the same with that of the original TRMM data, while the results of our model nicely present the distribution pattern of precipitation for both windward and leeward slope.

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