气候变化领域集成服务门户(CCPortal): A network-based comparative study of extreme tropical and frontal storm rainfall over Japan

CCPortal

DOI	10.1007/s00382-018-4597-1
	A network-based comparative study of extreme tropical and frontal storm rainfall over Japan
	Ozturk U.; Malik N.; Cheung K.; Marwan N.; Kurths J.
发表日期	2019
ISSN	0930-7575
起始页码	521
结束页码	532
卷号	53 期号:2020-01-02
英文摘要	Frequent and intense rainfall events demand innovative techniques to better predict the extreme rainfall dynamics. This task requires essentially the assessment of the basic types of atmospheric processes that trigger extreme rainfall, and then to examine the differences between those processes, which may help to identify key patterns to improve predictive algorithms. We employ tools from network theory to compare the spatial features of extreme rainfall over the Japanese archipelago and surrounding areas caused by two atmospheric processes: the Baiu front, which occurs mainly in June and July (JJ), and the tropical storms from August to November (ASON). We infer from complex networks of satellite-derived rainfall data, which are based on the nonlinear correlation measure of event synchronization. We compare the spatial scales involved in both systems and identify different regions which receive rainfall due to the large spatial scale of the Baiu and tropical storm systems. We observed that the spatial scales involved in the Baiu driven rainfall extremes, including the synoptic processes behind the frontal development, are larger than tropical storms, which even have long tracks during extratropical transitions. We further delineate regions of coherent rainfall during the two seasons based on network communities, identifying the horizontal (east–west) rainfall bands during JJ over the Japanese archipelago, while during ASON these bands align with the island arc of Japan. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Baiu; Complex networks; Event synchronization; Extreme rainfall; Tropical storms
语种	英语
scopus关键词	baroclinic mode; comparative study; extreme event; frontal feature; network analysis; precipitation intensity; satellite data; spatial analysis; storm; synoptic meteorology; Japan
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/146177
作者单位	Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany; Potsdam Institute for Climate Impact Research, PIK, Potsdam, Germany; Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany; School of Mathematical Sciences, Rochester Institute of Technology, Rochester, United States; Department of Environmental Sciences, Macquarie University, Sydney, Australia; Department of Physics, Humboldt University, Berlin, Germany
推荐引用方式 GB/T 7714	Ozturk U.,Malik N.,Cheung K.,et al. A network-based comparative study of extreme tropical and frontal storm rainfall over Japan[J],2019,53(2020-01-02).
APA	Ozturk U.,Malik N.,Cheung K.,Marwan N.,&Kurths J..(2019).A network-based comparative study of extreme tropical and frontal storm rainfall over Japan.Climate Dynamics,53(2020-01-02).
MLA	Ozturk U.,et al."A network-based comparative study of extreme tropical and frontal storm rainfall over Japan".Climate Dynamics 53.2020-01-02(2019).