Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System

被引：183

作者：

Boers, Niklas ^{[1
,2
]}

Bookhagen, Bodo ^{[3
]}

Marwan, Norbert ^{[2
]}

Kurths, Juergen ^{[1
,2
]}

Marengo, Jose ^{[4
]}

机构：

[1] Humboldt Univ, Dept Phys, Berlin, Germany

[2] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Brandenburg, Germany

[3] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA

[4] CCST INPE, Sao Paulo, Brazil

来源：

GEOPHYSICAL RESEARCH LETTERS | 2013年 / 40卷 / 16期

基金：

巴西圣保罗研究基金会;

关键词：

climate networks; nonlinear correlation measures; event synchronization; extreme precipitation; high resolution rainfall data; LOW-LEVEL JET; MESOSCALE CONVECTIVE COMPLEXES; ATLANTIC CONVERGENCE ZONE; SUMMER; VARIABILITY; CLIMATOLOGY; SEASON;

D O I：

10.1002/grl.50681

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

We investigate the spatial characteristics of extreme rainfall synchronicity of the South American Monsoon System (SAMS) by means of Complex Networks (CN). By introducing a new combination of CN measures and interpreting it in a climatic context, we investigate climatic linkages and classify the spatial characteristics of extreme rainfall synchronicity. Although our approach is based on only one variable (rainfall), it reveals the most important features of the SAMS, such as the main moisture pathways, areas with frequent development of Mesoscale Convective Systems (MCS), and the major convergence zones. In addition, our results reveal substantial differences between the spatial structures of rainfall synchronicity above the 90th and above the 95th percentiles. Most notably, events above the 95th percentile contribute stronger to MCS in the La Plata Basin.

引用

页码：4386 / 4392

页数：7

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