气候变化领域集成服务门户(CCPortal): The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm

CCPortal

DOI	10.1007/s00382-020-05474-1
	The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm
	Li W.; Zhang F.; Yu Y.; Iwabuchi H.; Shen Z.; Wang G.; Zhang Y.
发表日期	2020
ISSN	0930-7575
英文摘要	Deep convective systems (DCSs) are associated with severe weather events and can affect regional and global climate. To study the semi-diurnal variation of DCSs over Eastern China and its surrounding seas in summer, we modified the Tracking of Organized Convection Algorithm through a 3-D segmentatioN (TOOCAN) by employing Himawari-8 operational cloud property (CLP) products instead of original infrared images, and renamed the algorithm as TOOCAN-CLP. The DCSs detected over land and sea are divided into small-, medium-, and large-sized classes based on the convective core equivalent radius. The small and medium-sized DCSs over land exhibit a maximum occurrence in the afternoon, which is associated with local thermal instability and sea breeze circulation. The occurrence of small DCSs over the tropical sea areas varies analogously to that of small continental DCSs but with a smaller amplitude. However, medium-sized DCSs over the sea, which account for the majority of DCSs over the sea, exhibit weak semi-diurnal variability. Large DCSs over inland China and its surrounding seas tend to initiate at night and decay in the daytime. The generation of large DCSs over inland China at night is mainly due to the enhanced transport of warm and moist air by strong large-scale prevailing southerly or southwesterly winds, while the large offshore DCSs accompanied by heavy rainfall is closely associated with the interaction between local offshore breeze and large-scale monsoon flows, as well as gravity waves. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Cloud optical thickness; Cloud top height; Deep convective system; Semi-diurnal cycle; TOOCAN-CLP algorithm
语种	英语
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145684
作者单位	Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China; Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China; Shanghai Qi Zhi Institute, Shanghai, 200232, China; Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Sendai, Japan; Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai, China
推荐引用方式 GB/T 7714	Li W.,Zhang F.,Yu Y.,et al. The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm[J],2020.
APA	Li W..,Zhang F..,Yu Y..,Iwabuchi H..,Shen Z..,...&Zhang Y..(2020).The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm.Climate Dynamics.
MLA	Li W.,et al."The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm".Climate Dynamics (2020).