Typhoon intensity statistical prediction method oriented to engineering application
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P457.8

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    Abstract:

    In order to predict the annual variation of the typhoon intensity, a prediction method based on the grey-mean generating function model is proposed. Selecting the maximum wind velocity as the index of typhoon intensity, the prediction models for typhoons arriving or not arriving at coasts are established using data from a Northwest Pacific Ocean typhoon published by the China Meteorological Administration. A five-year prediction was made, and a comparison was made between the predicted results and the observed ones. The results show that the grey-mean generating function model has high accuracy for the prediction of the typhoon intensity. The maximum absolute error of the predicted annual average value is 4. 4 m/s, lower than the average absolute error of forecast results regarding the intensity of 25 typhoons in 2012 obtained from the numerical model. The maximum absolute error of the predicted annual extreme value is 11. 1 m/s, lower than the absolute error of the predicted value obtained from the Shanghai typhoon model.

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文元桥,蔡永庆,耿晓巧.一种面向工程应用的台风强度统计预测方法[J].河海大学学报(自然科学版),2016,44(2):172-177.(WEN Yuanqiao, CAI Yongqing, GENG Xiaoqiao. Typhoon intensity statistical prediction method oriented to engineering application[J]. Journal of Hohai University (Natural Sciences),2016,44(2):172-177.(in Chinese))

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History
  • Received:March 09,2015
  • Revised:
  • Adopted:
  • Online: March 23,2016
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