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ANALYSIS OF MESOSCALE CONVECTIVE SYSTEMS OVER TIBETAN PLATEAU IN SUMMER

Chinese Geographical Science 2006年第2期16卷 116-121页

作者： GUO Zhong-yang DAI Xiao-yan WU Jian-ping LIN Hui Key Laboratory of Geographic Information Science of Ministry of Education East China Normal University Shanghai 200062 P. R. China Department of Geography and Resource Management ＆ Joint Laboratory for Geolnformation Science the Chinese University of Hong Kong Hong Kong P. R. China

In this paper, Geostationary Meteorological Satellite (GMS) infrared black-body temperature (Tbb) data from June to August 1998 are used to automatically track the activity of Mesoscale Convective System (MCS) over the Tibetan Plateau in China. Consequently, the features of MCS, such as area, intensity, life cycle, activity region and shape, are obtained. High Resolution Limited Area Analysis and Forecasting System (HLAFS) values provided by China National Meteorological Center are used to study the relationships between the MCS trajectories and their environmental physical field values, based on the distribution and trajectories of MCSs over the Tibetan Plateau. Favorable environmental physical field charts of influencing MCS movement out of the Tibetan Plateau in different UTC (Universal Time Coordinate) are developed by using spatial data mining techniques at levels of 400hPa and 500hPa, respectively.

关键词： Tibetan Plateau Mesoscale Convective Systems black-body temperature automatically tracking

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MAGE ANALYSIS OF GEOSTATIONARY METEOROLOGICAL SATELLITE FOR MONITORING MOVEMENT OF MESOSCALE CONVECTIVE SYSTEMS OVER TIBETAN PLATEAU

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Chinese Geographical Science 2005年第3期15卷 231-237页

作者： DAI Xiao-yan WU Jian-ping LIN Hui Ministry of Education Key Laboratory of Geographic lnJbrmation Science East China Normal UniversityShanghai 200062 P. R. China Department of Geography and Resource Management ＆ Joint Laboratory for Geolnformation Science the Chinese University of Hong Kong Hong Kong P. R. China

Disaster weather forecasting is becoming increasingly important. In this paper, the trajectories of Mesoscale Convective Systems （MCSs） were automatically tracked over the Chinese Tibetan Plateau using Geostationary Meteorological Satellite （GMS） brightness temperature （Tbb） from June to August 1998, and the MCSs are classified according to their movement direction. Based on these, spatial data mining methods are used to study the relationships between MCSs trajectories and their environmental physical field values. Results indicate that at 400hPa level, the trajectories of MCSs moving across the 105°E boundary are less influenced by water vapor flux divergence, vertical wind velocity, reIative humidity and K index. In addition, if the gravity central longitude locations of MCSs are between 104°E and 105°E, then geopotential height and wind divergence are two main factors in movement causation. On the other hand, at 500hPa level, the trajectories of MCSs in a north-east direction are mainly influenced by K index and water vapor flux divergence when their central locations are less than 104°E. However, the MCSs moving in an east and south-east direction are influenced by a few correlation factors at this level.

关键词： Tibetan Plateau Mesoscale Convective Systems automatically tracking spatial data mining

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