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  Temporal evolution of the spatial covariability of rainfall in South America

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

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 Creators:
Ciemer, Catrin1, Author              
Boers, Niklas1, Author              
Barbosa, H. M. J.2, Author
Kurths, Jürgen1, Author              
Rammig, A.2, Author
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1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 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.

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 Dates: 2018
 Publication Status: Finally published
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 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s00382-017-3929-x
PIKDOMAIN: Earth System Analysis - Research Domain I
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7775
Working Group: Ecosystems in Transition
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Climate Dynamics
Source Genre: Journal
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Pages: - Volume / Issue: 51 (1-2) Sequence Number: - Start / End Page: 371 - 382 Identifier: -