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Extreme weather events have gained great attention in climate impact research due to their particular importance for society. We investigate spatial patterns of extreme rainfall events in the South American Monsoon System (SAMS) by means of Complex Networks. The networks are constructed from correlation matrices, obtained by synchronizing events at different locations. The spatial distribution of centrality measures in these networks as well as the relative geographical lengths of network links reveal many known features of the SAMS, such as convergence zones, regions with strong convection and major moisture transport routes. We show the seasonal variations in these patterns and put them into relation to the known characteristics of the monsoon systems. Interannual variations in the network patterns corresponding to different states of the El Niņo Southern Oscillation (ENSO) are investigated and compared to recent results on the interplay of ENSO and the occurrence of extreme rainfall events.
Collaborators: B. Bookhagen, N. Marwan, J. Kurths |
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