Journal of East China Normal University(Natural Sc ›› 2006, Vol. 2006 ›› Issue (6): 41-46.

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Study on the Trajectories of MCS Based on Bayesian Classification(Chinese)

SU Jun-yi, QIU Jie, GUO Zhong-yang, DAI Xiao-yan   

  1. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China
  • Received:2005-07-05 Revised:2005-11-21 Online:2006-11-25 Published:2012-11-09
  • Contact: GUO Zhong-yang

Abstract: In this paper, a Boosting Classifier based on Naive Bayesian Classification was built and applied to classify the trajectories of MCS, using a dataset of environmental physical field values around MCS, based on the automated tracking of MCS over the Tibetan Plateau in summer from 1997 to 2000. Furthermore, results comparing several classification methods found the Boosting Bayesian Classifier to be comparable in performance with decision tree and neural network classifiers in the application of prediction of the trajectories of MCS. So it is proven to be an effective method to reveal the trajectories of MCS over the Tibetan Plateau and improve the accuracy of forecasting the disaster weather in Yangtze River Basin.

Key words: Mesoscale Convective System, Bayesian Classification, Tibetan Plateau, Mesoscale Convective System, Bayesian Classification

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