Space-time density estimation of Tropical cyclones
In this paper, the purpose is to get the estimation of tropical cyclones in northwestern pacific genesis probability function by using the nonparametric kernel smoothing method which makes no assumption on the prior distribution form of observations and is different from parametric methods used traditionally. By choosing the different bandwidth, the fitting probability density estimation is different. From the comparison, the conclusion obtained is that the smoothing parameter of kernel is very critical and the optimal is very important. The optimal bandwidth value can be perfectly fitting the true density of tropical cyclones genesis. Seasonal variability or month variability is not considered in this study.
tropical cyclone northwestern pacific genesis kernel density estimation
Fu Meifen Yu Yong Jiang
College of Mathematics & Physics, Nanjing University of Information Science & Technology, Nanjing 21 Meteorological Science Institute of Fujian Province, Fuzhou, 350001, China
国际会议
南京
英文
161-166
2010-07-29(万方平台首次上网日期,不代表论文的发表时间)