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

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 spa...

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Published in:Geophysical research letters 2013-08, Vol.40 (16), p.4386-4392
Main Authors: Boers, Niklas, Bookhagen, Bodo, Marwan, Norbert, Kurths, Jürgen, Marengo, José
Format: Article
Language:English
Subjects:
Basins
Classification
climate networks
Convergence
Drinking water
Earth sciences
Earth, ocean, space
Environmental protection
event synchronization
Exact sciences and technology
extreme precipitation
Extreme weather
Geophysics
high resolution rainfall data
Monsoons
Networks
nonlinear correlation measures
Rain
Rainfall
Synchronization
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container_issue 16
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container_title Geophysical research letters
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creator Boers, Niklas
Bookhagen, Bodo
Marwan, Norbert
Kurths, Jürgen
Marengo, José
description 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
doi_str_mv 10.1002/grl.50681
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source Wiley-Blackwell AGU Digital Archive
subjects Basins
Classification
climate networks
Convergence
Drinking water
Earth sciences
Earth, ocean, space
Environmental protection
event synchronization
Exact sciences and technology
extreme precipitation
Extreme weather
Geophysics
high resolution rainfall data
Monsoons
Networks
nonlinear correlation measures
Rain
Rainfall
Synchronization
title Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System
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