Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-018-4597-1 |
A network-based comparative study of extreme tropical and frontal storm rainfall over Japan | |
Ozturk, Ugur1,2,3; Malik, Nishant4; Cheung, Kevin5; Marwan, Norbert2; Kurths, Juergen2,6 | |
2019-07-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 53页码:521-532 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; USA; Australia |
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. |
英文关键词 | Extreme rainfall Baiu Tropical storms Event synchronization Complex networks |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000471722400031 |
WOS关键词 | MADDEN-JULIAN OSCILLATION ; PRECIPITATION EXTREMES ; MULTISCALE FEATURES ; COMPLEX NETWORKS ; BAIU FRONT ; MONSOON ; DYNAMICS ; CLASSIFICATION ; INTENSITY ; MECHANISM |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184387 |
专题 | 气候变化 |
作者单位 | 1.Univ Potsdam, Inst Earth & Environm Sci, Potsdam, Germany; 2.PIK, Potsdam Inst Climate Impact Res, Potsdam, Germany; 3.GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Potsdam, Germany; 4.Rochester Inst Technol, Sch Math Sci, Rochester, NY 14623 USA; 5.Macquarie Univ, Dept Environm Sci, Sydney, NSW, Australia; 6.Humboldt Univ, Dept Phys, Berlin, Germany |
推荐引用方式 GB/T 7714 | Ozturk, Ugur,Malik, Nishant,Cheung, Kevin,et al. A network-based comparative study of extreme tropical and frontal storm rainfall over Japan[J]. CLIMATE DYNAMICS,2019,53:521-532. |
APA | Ozturk, Ugur,Malik, Nishant,Cheung, Kevin,Marwan, Norbert,&Kurths, Juergen.(2019).A network-based comparative study of extreme tropical and frontal storm rainfall over Japan.CLIMATE DYNAMICS,53,521-532. |
MLA | Ozturk, Ugur,et al."A network-based comparative study of extreme tropical and frontal storm rainfall over Japan".CLIMATE DYNAMICS 53(2019):521-532. |
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