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STATISTIC CHARACTERISTICS OF MCSS OVER ASIA AND WESTERN PACIFIC REGION
作者姓名:束宇  潘益农  王微
作者单位:School of Atmospheric Sciences and Key Laboratory for Mesoscale of Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093 China;Nanjing Meteorology Bureau, Nanjing 210008 China;School of Atmospheric Sciences and Key Laboratory for Mesoscale of Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093 China;School of Atmospheric Sciences and Key Laboratory for Mesoscale of Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093 China
基金项目:National Natural Science Founds of China (40875028); Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
摘    要:Mesoscale convective systems (MCSs) are severe disaster-producing weather systems. Previous attempts of MCS census are made by examining infrared satellite imageries artificially, with subjectivity involved in the process unavoidably. This method is also inefficient and time-consuming. The disadvantages make it impossible to do MCS census over Asia and western Pacific region (AWPR) with an extended span of time, which is not favorable for gaining a deeper insight into these systems. In this paper, a fire-new automatic MCS identification (AMI) method is used to capture four categories of MCSs with different sizes and shapes from numerical satellite infrared data. 47,468 MCSs are identified over Asia and western Pacific region during the warm season (May to October) from 1995 to 2008. Based on this database, MCS characteristics such as shape, size, duration, velocity, geographical distribution, intermonthly variation, and lifecycle are studied. Results indicate that the number of linear MCSs is 2.5 times that of circular MCSs. The former is of a larger size while the latter is of a longer duration. The 500 hPa steering flow plays an important role in the MCS movement. MCSs tend to move faster after they reach the maximum extent. Four categories of MCS have similar characteristics of geographical distribution and intermonthly variation. Basically, MCSs are zonally distributed, with three zones weakening from south to north. The intermonthly variation of MCSs is related to the seasonal adjustment of the large-scale circulation. As to the MCSs over China, they have different lifecycle characteristics over different areas. MCSs over plateaus and hill areas, with only one peak in their lifecycle curves, tend to form in the afternoon, mature at nightfall, and dissipate at night. On the other hand, MCSs over plains, which have several peaks in their lifecycle curves, may form either in the afternoon or at night, whereas MCSs over the oceans tend to form at midnight. Affected by the sea-land breeze circulation, MCSs over coastal areas of Guangdong and Guangxi always come into being at about 1500 or 1600 (local time), while MCSs over the Sichuan Basin, affected by the mountain-valley breeze circulation, generally initiate nocturnally.

关 键 词:mesoscale  convective  systems  automatic  MCS  identification  (AMI)  method  velocity  geographical  distribution  intermonthly  variation  lifecycle
收稿时间:2011/2/25 0:00:00
修稿时间:2012/8/21 0:00:00

STATISTIC CHARACTERISTICS OF MCSS OVER ASIA AND WESTERN PACIFIC REGION
SHU Yu,PAN Yi-nong and WANG Wei.STATISTIC CHARACTERISTICS OF MCSS OVER ASIA AND WESTERN PACIFIC REGION[J].Journal of Tropical Meteorology,2012,18(4):457-472.
Authors:SHU Yu  PAN Yi-nong and WANG Wei
Institution:School of Atmospheric Sciences and Key Laboratory for Mesoscale of Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093 China;Nanjing Meteorology Bureau, Nanjing 210008 China;School of Atmospheric Sciences and Key Laboratory for Mesoscale of Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093 China;School of Atmospheric Sciences and Key Laboratory for Mesoscale of Severe Weather/Ministry of Education, Nanjing University, Nanjing 210093 China
Abstract:Mesoscale convective systems (MCSs) are severe disaster-producing weather systems. Previous attempts of MCS census are made by examining infrared satellite imageries artificially, with subjectivity involved in the process unavoidably. This method is also inefficient and time-consuming. The disadvantages make it impossible to do MCS census over Asia and western Pacific region (AWPR) with an extended span of time, which is not favorable for gaining a deeper insight into these systems. In this paper, a fire-new automatic MCS identification (AMI) method is used to capture four categories of MCSs with different sizes and shapes from numerical satellite infrared data. 47,468 MCSs are identified over Asia and western Pacific region during the warm season (May to October) from 1995 to 2008. Based on this database, MCS characteristics such as shape, size, duration, velocity, geographical distribution, intermonthly variation, and lifecycle are studied. Results indicate that the number of linear MCSs is 2.5 times that of circular MCSs. The former is of a larger size while the latter is of a longer duration. The 500 hPa steering flow plays an important role in the MCS movement. MCSs tend to move faster after they reach the maximum extent. Four categories of MCS have similar characteristics of geographical distribution and intermonthly variation. Basically, MCSs are zonally distributed, with three zones weakening from south to north. The intermonthly variation of MCSs is related to the seasonal adjustment of the large-scale circulation. As to the MCSs over China, they have different lifecycle characteristics over different areas. MCSs over plateaus and hill areas, with only one peak in their lifecycle curves, tend to form in the afternoon, mature at nightfall, and dissipate at night. On the other hand, MCSs over plains, which have several peaks in their lifecycle curves, may form either in the afternoon or at night, whereas MCSs over the oceans tend to form at midnight. Affected by the sea-land breeze circulation, MCSs over coastal areas of Guangdong and Guangxi always come into being at about 1500 or 1600 (local time), while MCSs over the Sichuan Basin, affected by the mountain-valley breeze circulation, generally initiate nocturnally.
Keywords:mesoscale convective systems  automatic MCS identification (AMI) method  velocity  geographical distribution  intermonthly variation  lifecycle
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