標題: An improved genetic programming to SSM/I estimation typhoon precipitation over ocean
作者: Chen, Li
Yeh, Keh-Chia
Wei, Hsiao-Ping
Liu, Gin-Rong
土木工程學系
Department of Civil Engineering
關鍵字: genetic programming;meteorological satellite;SSM/I;evolutionary programming;data mining;back-propagated network (BPN)
公開日期: 30-Jul-2011
摘要: This article proposes an improved multi-run genetic programming (GP) and applies it to estimate the typhoon rainfall over ocean using multi-variable meteorological satellite data. GP is a well-known evolutionary programming and data mining method used to automatically discover the complex relationships among nonlinear systems. The main advantage of GP is to optimize appropriate types of function and their associated coefficients simultaneously. However, the searching efficiency of traditional GP can be decreased by the complex structure of parse tree to represent the multiple input variables. This study processed an improvement to enhance escape ability from local optimums during the optimization procedure. We continuously run GP several times by replacing the terminal nodes at the next run with the best solution at the current run. The current method improves GP, obtaining a highly nonlinear meaningful equation to estimate the rainfall. In the case study, this improved GP (IGP) described above combined with special sensor microwave imager (SSM/I) seven channels was employed. These results are then verified with the data from four offshore rainfall stations located on islands around Taiwan. The results show that the IGP generates sophisticated and accurate multi-variable equation through two runs. The performance of IGP outperforms the traditional multiple linear regression, back-propagated network (BPN) and three empirical equations. Because the extremely high values of precipitation rate are quite few and the number of zero values (no rain) is very large, the underestimations of heavy rainfall are obvious. A simple genetic algorithm was therefore used to search for the optimal threshold value of SSM/I channels, detecting the data of no rain. The IGP with two runs, used to construct an appropriate mathematical function to estimate the precipitation, can obtain more favourable results from estimating extremely high values. Copyright. (C) 2011 John Wiley & Sons, Ltd.
URI: http://dx.doi.org/10.1002/hyp.8132
http://hdl.handle.net/11536/21349
ISSN: 0885-6087
DOI: 10.1002/hyp.8132
期刊: HYDROLOGICAL PROCESSES
Volume: 25
Issue: 16
起始頁: 2573
結束頁: 2583
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