NDLI: Mining the Features of Environmental Physical Field Influencing Trajectories of Mesoscale Convective Systems Based on Spatial Clustering Analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhongyang Guo Xiaoyan Dai Jianping Wu
Copyright Year	2008
Description	Author affiliation: Dept. of Geogr., East China Normal Univ., Shanghai (Zhongyang Guo; Xiaoyan Dai; Jianping Wu)
Abstract	The forecasting of disaster weather using spatial data mining technique is still at an initial stage presently. Recent researches have indicated that intensive precipitation in the Yangtze River Basin in China is closely related to the activity of Mesoscale Convective Systems (MCS) moving out of the Tibetan Plateau in China, however, the factors that influence MCS trajectories are very complex. To discover the trajectories of MCS and features of environmental physical field favoring MCS origination and development over the Plateau, in this paper, MCS are automatically tracked over the Plateau using GMS infrared black-body temperature data. Based on these, spatial clustering method, CLARANS method, is applied to analyzing the characteristics of dynamical field, which influence MCS move eastward out of the Plateau in summer, using environmental physical field forecasting values. The results reveal that the methods are effective and valuable approaches to studying the conditions of environmental physical field favoring the trajectory and propagation of MCS, and improving the predictability of intensive convective weather.
Starting Page	482
Ending Page	486
File Size	463054
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatically Tracking Temperature Clustering methods Clouds Weather forecasting Dynamical field Rivers Data mining Rain Spatial clustering method Numerical simulation Mesoscale Convective System Trajectory Meteorology
Content Type	Text
Resource Type	Article

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