Spatial-Temporal Evolvement Trends of Mesoscale Convective Systems over Qinghai-Tibetan Plateau

An automatic meteorological data mining approach is presented based on two kinds of heterogeneous satellite datasets,temperature black body(TBB) remote sensing imagery and high resolution limited area analysis and forecasting system(HLAFS) data,aiming to analyze the meteorological evolvement trends and patterns of MCS and discover the hidden correlations and causalities between the environmental physical fields and the eastward evolvement trends of MCS.Research results are provided in the form of decision rules and environmental physical model graphs to express the hidden knowledge effectively and understandably.