[1] |
Alan R Shaffer, Russel E Elsberry. 1982. A statistical climatological tropical cyclone track prediction technique using an EOF representation of the synoptic forcing. Mon. Weo. Rev.,110: 1945-1959. |
[2] |
Shapito L J, Neumann C J, 1989. On the structure and orientation of grid systems for the statistical prediction of tropical cyclone motion. Mon. Wea. Rev.,112: 188-199. |
[3] |
Keenan T D, 1985. Statistical forecasting of tropical cyclone movement in the Australian region. Guart. J. R. Met. Soc.,111: 603-615. |
[4] |
James E Peak,Russell L Elsberry, 1985. Prediction of tropical cyclone turning and acceleration using empirical orthogonal function representations. Mon. Wea. Rev.,114: 156-164. |
[5] |
James E Peak,William E Wilson,Russel L Elsberry, et al.,1986. Forecasting tropical cyclone motion using empirical orthogonal function representations of the environmetal wind fields. Mon. Wea. Rev.,114: 2466-2976. |
[6] |
Thomas B S,Johnny C L Chan,Russell L Elsberry, 1987. Further applications of empirical orthogonal function of wind field for tropical cyclone motion studies. Mon. Wea. Rev.,115: 1225-1237. |
[7] |
Harry R Glahn,1968. Canonical correlation and its relationship to discriminant analysis and multiple regression. J. Atmos. Sci.,25: 23-31. |
[8] |
Zhu Shengming,Qu Xueshi, 1988. Progress in techniques of statistical interpretation of numerical predicted products,Beijing: Meteorological Press,1-200.(in Chinese) |
[9] |
Barnett T P,Preisendorfer R,1987. Origins and levels of months and seasonal forecast skill for United States surface air temperatures by canonical correlation analysis. Mon. Wca. Rcv.,115: 1825-1850. |
[10] |
Chen Xiaoyuan,Yu Shanxian,Li Hanhui,1987. Application of canonical correlation analysis in the prediction of typhoon track. Journal of Troyical Meteorology,3: 15-22.(in Chinese) |
[11] |
Hu Jifu,Chang Meigui,Huang Liwen et al.,1994. The CLIPER model for prediction of South China Sea typhoon,Bulletin of oceans and lakes. No. 2, 191-201.(in Chinese) |
[12] |
Xie Lingjuan,1989. Climatological persistent model for prediction of typhoon track in the South China Sea. Ocean forecasting,6: 20-30.(in Chinese) |