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Temporal evolution of the spatial covariability of rainfall in South America

Authors
/persons/resource/Catrin.Ciemer

Ciemer,  Catrin
Potsdam Institute for Climate Impact Research;

/persons/resource/Niklas.Boers

Boers,  Niklas
Potsdam Institute for Climate Impact Research;

Barbosa,  H. M. J.
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

Rammig,  A.
External Organizations;

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Citation

Ciemer, C., Boers, N., Barbosa, H. M. J., Kurths, J., Rammig, A. (2018): Temporal evolution of the spatial covariability of rainfall in South America. - Climate Dynamics, 51, 1-2, 371-382.
https://doi.org/10.1007/s00382-017-3929-x


Cite as: https://publications.pik-potsdam.de/pubman/item/item_21908
Abstract
The climate of South America exhibits pronounced differences between rainy and dry seasons, associated with specific synoptic features such as the establishment of the South Atlantic convergence zone. Here, we analyze the spatiotemporal correlation structure and in particular teleconnections of daily rainfall associated with these features by means of evolving complex networks. A modification of Pearson’s correlation coefficient is introduced to handle the intricate statistical properties of daily rainfall. On this basis, spatial correlation networks are constructed, and new appropriate network measures are introduced in order to analyze the temporal evolution of the networks’ characteristics. We particularly focus on the identification of coherent areas of similar rainfall patterns and previously unknown teleconnection structures between remote areas. We show that the monsoon onset is characterized by an abrupt transition from erratic to organized regional connectivity that prevails during the monsoon season, while only the onset times themselves exhibit anomalous large-scale organization of teleconnections. Furthermore, we reveal that the two mega-droughts in the Amazon basin were already announced in the previous year by an anomalous behavior of the connectivity structure.