Multi-source Precipitation Data Fusion Method Based on Filtersim

Authors

Kunwei Li, Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
You Xiong, Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
Zhang Xin, Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
Fen Tang, Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;

Abstract

Abstract: Rainfall is an important factor affecting the vehicle off-road maneuver. High-precision rainfall data is a prerequisite for evaluating battlefield off-road traffic capacity quantitatively and developing a program of action reasonably. In view of the shortcomings of traditional interpolation methods, the flitersim multi-point statistical method is used to improve the fusion accuracy of multi-source precipitation data. The rainfall is decomposed into the sum of the local mean and the local residual, the local residuals of the satellite precipitation data are used as the "training data", the local residual data of the weather stations are used as the "hard data", and the interpolation data of the local residual data of the satellite precipitation and the local residual data of the weather station are used as the "soft data" for flitersim multi-point statistical simulation to obtain 1 km resolution precipitation data. By comparing the average absolute error, the root mean square error and the correlation coefficient of several sets of data, it is shown that flitersim is superior to the ordinary cooperative kriging interpolation, which can improve the accuracy of precipitation data effectively.

Recommended Citation

Li, Kunwei; Xiong, You; Xin, Zhang; and Tang, Fen (2019) "Multi-source Precipitation Data Fusion Method Based on Filtersim," Journal of System Simulation: Vol. 31: Iss. 6, Article 25.
DOI: 10.16182/j.issn1004731x.joss.17-0201
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss6/25

First Page

1232

Revised Date

2017-07-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0201

Last Page

1238

CLC

E991

Recommended Citation

Li Kunwei, You Xiong, Zhang Xin, Tang Fen. Multi-source Precipitation Data Fusion Method Based on Filtersim[J]. Journal of System Simulation, 2019, 31(6): 1232-1238.

DOI

10.16182/j.issn1004731x.joss.17-0201