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浙江大学学报（理学版）
Journal of Zhejiang University (Science Edition)  2021, Vol. 48 Issue (6): 728-734    DOI: 10.3785/j.issn.1008-9497.2021.06.011
    
Characteristic analysis of deep convective systems of Zhejiang and surrounding areas during meiyu period based on ISCCP data
LIU Rui, ZHU Peijun, ZHAI Guoqing
School of Earth Science， Zhejiang University， Hangzhou 310027， China
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Abstract  The tracking data of deep convection from 1998 to 2007 provided by the international satellite cloud climate program (ISCCP) are used to analyze the spatial and temporal distribution of the convective systems (CS) in Zhejiang and its surrounding areas during Meiyu period.The results show that theses CS mainly come from the local area,and more than 50% involve only short-term convection process,secondly from the Southwest and Northwest regions. When referring to the quantitative statistics of the source region,there are four high-risk areas which have good corresponding relationship with mountainous terrain. Further,by regarding the decrease of CS minimum cloud temperatures as the strengthening of the system,we find that around northern Jiangxi and Anhui,Hubei,Zhejiang junction, the system is likely to strengthen,According to the statistics of the initial time of CS system at different regions,it can be found that the day is slightly higher than during the night,with a certain diurnal variation,and 09:00 (UTC) was the initial high occurrence moment of convective process.

Key words： Meiyu period      convective systems      Zhejiang province and its surrounding areas     
Received: 27 November 2020      Published: 25 November 2021
CLC:  P 445  
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LIU Rui, ZHU Peijun, ZHAI Guoqing. Characteristic analysis of deep convective systems of Zhejiang and surrounding areas during meiyu period based on ISCCP data. Journal of Zhejiang University (Science Edition), 2021, 48(6): 728-734.

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https://www.zjujournals.com/sci/EN/Y2021/V48/I6/728


基于ISCCP数据集的梅雨期影响浙江省及周边地区的对流系统特征分析

基于国际卫星云气候计划（international satellite cloud climate program，ISCCP）1998—2007年10 a深对流路径跟踪资料数据集，统计分析了梅雨期影响浙江省及周边地区的对流系统（convection system，CS）的空间、时间分布特征。从空间分布看，梅雨期影响浙江省及周边地区的CS主要来源于区域本地，且50%以上为短时对流过程，其次来源于西南、西北区域，定量统计源地发生个数，发现存在多个高发区域，与山区地形有较好的对应关系；进一步，用云顶最低温减小表征系统加强，发现江西省北部与安徽省、湖北省、浙江省交界处易发生系统加强过程；通过统计分析不同区域CS发生的初始时刻，发现CS白天发生次数稍大于晚上，并呈一定的日变化特征，且9：00（UTC）是CS初始高发时刻。

关键词： 梅雨期,  对流系统,  浙江省及周边地区 
1 周曾奎.江淮梅雨［M］.北京：气象出版社，1996. doi:10.3390/atmos9090341 ZHOU Z K.Meiyu in Jianghuai［M］.Beijing：China Meteorological Press，1996. doi:10.3390/atmos9090341
2 黄青兰，王黎娟，何金海，等.有关江淮梅雨的研究回顾［J］.浙江气象，2010，31（2）：2-7. DOI：10.3969/j.issn.1004-5953.2010.02.002 HUANG Q L，WANG L J，HE J T，et al. A review of researches on Jianghuai Meiyu［J］.Journal of Zhejiang Meteorology，2010，31（2）：2-7. DOI：10. 3969/j.issn.1004-5953.2010.02.002
3 俞燎霓，胡波，曹美兰，等.浙江梅雨气候特征及其梅汛期暴雨的形势分析［J］.科技通报，2010，26（5）：782-786，794. doi:10.3969/j.issn.1001-7119.2010.05.029 YU L N，HU B，CAO M L，et al.The characteristics of heavy rain and its analysis of synoptic circumstances during plum flood period in Zhejiang［J］.Bulletin of Science and Technology，2010，26（5）：782-786，794. doi:10.3969/j.issn.1001-7119.2010.05.029
4 黄哲，查贲，沈杭锋，等.浙江西北部山地暴雨特征［J］.浙江大学学报（理学版），2019，46（2）：217-224. DOI：10.3785/j.issn.1008-9497.2019.02.010 HUANG Z，ZHA B，SHEN H F，et al. Characteristics of rainstorm in northwestern mountainous area of Zhejiang［J］. Journal of Zhejiang University （Science Edition），2019，46（2）：217-224. DOI：10.3785/j.issn.1008-9497.2019.02.010
5 郑永光，陈炯，葛国庆，等.梅雨锋的天气尺度研究综述及其天气学定义［J］.北京大学学报（自然科学版），2008，44（1）：157-164. DOI：10.3321/j.issn：0479-8023.2008.01.027 ZHENG Y G，CHEN J，GE G Q，et al. Review on the synoptic scale Meiyu front system and its synoptics definition［J］.Acta Scientiarum Naturalium Universitatis Pekinensis，2008，44（1）：157-164. DOI：10.3321/j.issn：0479-8023.2008.01.027
6 陶诗言.中国之暴雨［M］.北京：科学出版社，1980. TAO S Y. Heavy Rain in China［M］.Beijing：Science Press，1980.
7 ZHAO Y C，LI Z C，XIAO Z N. A case study on a quasi-stationary Meiyu front bringing about continuous rainstorms with piecewise potential vorticity inversion［J］.Acta Meteorological Sinica，2008，22（2）：202-223.
8 赵玉春，王叶红，崔春光.一次典型梅雨锋暴雨过程的多尺度结构特征［J］.大气科学学报，2011，34（1）：14-27. DOI：10.3969/j.issn.1674-7097.2011.01.003 ZHAO Y C，WANG Y H，CUI C G.Multi-scale structure features of a typical Meiyu frontal rainstorm process［J］.Transactions of Atmospheric Sciences，2011，34（1）：14-27. DOI：10.3969/j.issn.1674-7097. 2011.01.003
9 胡伯威.梅雨锋上MCS的发展、传播以及与低层“湿度锋”相关联的CISK惯性重力波［J］.大气科学，2005，29（6）：845-853. HU B W.Evolution and propagation of MCSs over Meiyu fronts and inertia-gravitational wave-CISK related to “low-level moisture frontal zone”［J］.Chinese Journal of Atmospheric Sciences，2005，29（6）：845-853.
10 郭蕊，苗春生，张楠.一次淮河流域梅雨锋暴雨的大别山地形敏感性试验［J］.大气科学学报，2013，36（5）：626-634. DOI：10.3969/j.issn.1674-7097. 2013.05.014 GUO R，MIAO C S，ZHANG N.Sensitivity experiments of effects of Dabie mountains terrain on Meiyu front rainstorm over Huaihe River basin［J］.Transactions of Atmospheric Sciences，2013，36（5）：626-634. DOI：10.3969/j.issn.1674-7097.2013.05.014
11 杨忠林.江淮梅雨期对流降水微物理特征的双偏振雷达观测研究［D］.南京：南京大学，2016. doi:10.5194/egusphere-egu2020-12263 YANG Z L.Statistical Analysis of Convective Precipitation Microphysical Characteristics during Yangtze-Huaihe River Basin Meiyu Season Based on Polarimetric Radar Observation［D］.Nanjing：Nanjing University，2016. doi:10.5194/egusphere-egu2020-12263
12 ROSSOW W B，WALKER A W，BEUSCHEL D，et al.International Satellite Cloud Climatology Project（ISCCP） Description of New Cloud Datasets （WMO/TD 737）［R］.UN：World Meteorological Organization，1996：115.
13 ROSSOW W B，SCHIFFE R A.Advances in understanding clouds from ISCCP［J］.Bulletin of the American Meteorological Society，1999，80（11）：2261-2287. doi:10.1175/1520-0477(1999)080<2261:aiucfi>2.0.co;2
14 MACHADO L A T，ROSSOW W B.Structural characteristics and radiative properties of tropical cloud clusters［J］.Monthly Weather Review，1993，121（12）：3234-3260. DOI：10.1175/1520-0493（1993）121􀎮3234：SCARPO>2.0.CO；2
15 WECKWERTH T M，WILSON J W，HAGEN M，et al.Radar climatology of the COPS region［J］.Quarterly Journal of the Royal Meteorological Society，2011，137（S1）：31-41. DOI：10.1002/qj.747
16 MECIKALSKI J R，BEDKA K M.Forecasting convective initiation by monitoring the evolution of moving cumulus in daytime GOES imagery［J］.Monthly Weather Review，2006，134（1）：49-78. DOI：10.1175/MWR3062.1
17 WAKIMOTO R M，MURPHEY H V.Analysis of convergence boundaries observed during IHOP_2002［J］.Monthly Weather Review，2010，138（7）：2737-2760. DOI：10.1175/2010MWR3266.1
18 王镇铭.浙江省天气预报手册［M］.北京：气象出版社，2013. WNAG Z M.Zhejiang Weather Forecast Manual［M］.Beijing：China Meteorological Press，2013.
19 MACHADO L A T，ROSSOW W B，GUEDES R L，et al.Life cycle variations of mesoscale convective systems over the Americas［J］.Monthly Weather Review，1998，126（6）：1630-1645. DOI：10.1175/1520-0493（1998）126<1630：LCVOMC>2.0.CO；2
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