%0 Journal Article
%4 sid.inpe.br/mtc-m21b/2013/11.26.17.01.56
%2 sid.inpe.br/mtc-m21b/2013/11.26.17.01.57
%@doi 10.1002/grl.50681
%@issn 0094-8276
%F scopus 2013-11
%T Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System
%D 2013
%8 Aug.
%9 journal article
%A Boers, N.,
%A Bookhagen, B.,
%A Marwan, N.,
%A Kurths, J.,
%A Marengo, José Antonio,
%@affiliation Humboldt University, Berlin
%@affiliation University of California
%@affiliation Potsdam Institute for Climate Impact Research Brandenburg
%@affiliation Humboldt University
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress jose.marengo@inpe.br
%B Geophysical Research Letters
%V 40
%N 16
%P 4386-4392
%K Convergence zones, Event synchronization, Extreme precipitation, Important features, Mesoscale Convective System, Non-linear correlations, Rainfall data, Spatial characteristics, Atmospheric thermodynamics, Storms, Rain, convergence, data set, monsoon, nonlinearity, precipitation (climatology), precipitation assessment, rainfall, resolution, spatial analysis, synchrony, La Plata Basin.
%X 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. Key Points Complex Networks of rainfall data reveal features of the South Americanmonsoon Combining several network measures enhances identification of climaticpatterns Distinct large scale synchronization of extreme and most extreme rainfall events.
%@language en