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中国登路热带气旋的季节预测模型
作者姓名:FAN  Ke
作者单位:中国科学院大气物理研究所,竺-南国际中心
基金项目:jointly supported by the National Natural Science Foundation of China (Grant No.40775049);the IAP Key Innovation Programs (IAP07117 and IAP09302);the Basic Research Program of China (Grant No.2009CB421406)
摘    要:The year-to-year increment prediction approach proposed by was applied to forecast the annual number of tropical cyclones (TCs) making landfall over China.The year-to-year increase or decrease in the number of land-falling TCs (LTCs) was first predicted to yield a net number of LTCs between successive years.The statistical prediction scheme for the year-to-year increment of annual LTCs was developed based on data collected from 1977 to 2007,which includes five predictors associated with high latitude circulations in both Hemispheres and the circulation over the local,tropical western North Pacific Ocean.The model shows reasonably high predictive ability,with an average root mean square error (RMSE) of 1.09,a mean absolute error (MAE) of 0.9,and a correlation coefficient between the predicted and observed annual number of LTCs of 0.86,accounting for 74% of the total variance.The cross-validation test further demonstrated the high predictive ability of the model,with an RMSE value of 1.4,an MAE value of 1.2,and a correlation coefficient of 0.74 during this period.

关 键 词:year-to-year  increment  landfall  tropical  cyclone  prediction

Seasonal Forecast Model for the Number of Tropical Cyclones to Make Landfall in China
FAN Ke.Seasonal Forecast Model for the Number of Tropical Cyclones to Make Landfall in China[J].Atmospheric and Oceanic Science Letters,2009,2(5):251-254.
Authors:FAN Ke
Institution:Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Abstract:The year-to-year increment prediction approach proposed by was applied to forecast the annual number of tropical cyclones (TCs) making landfall over China. The year-to-year increase or decrease in the number of land-falling TCs (LTCs) was first predicted to yield a net number of LTCs between successive years. The statistical prediction scheme for the year-to-year increment of annual LTCs was developed based on data collected from 1977 to 2007, which includes five predictors associated with high latitude circulations in both Hemispheres and the circulation over the local, tropical western North Pacific Ocean. The model shows reasonably high predictive ability, with an average root mean square error (RMSE) of 1.09, a mean absolute error (MAE) of 0.9, and a correlation coefficient between the predicted and observed annual number of LTCs of 0.86, accounting for 74% of the total variance. The crossvalidation test further demonstrated the high predictive ability of the model, with an RMSE value of 1.4, an MAE value of 1.2, and a correlation coefficient of 0.74 during this period.
Keywords:year-to-year increment  landfall  tropical cyclone  prediction
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