A Complex Network Approach to Investigate the Spatiotemporal Co-variability of 
Extreme Rainfall

Boers, N.; Rheinwalt, A.; Bookhagen, B.; Marwan, Norbert; Kurths, Jürgen; Lakshmanan, V.; Gilleland, E.; McGovern, A.; Tingley, M.

doi:10.1007/978-3-319-17220-0_15

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A Complex Network Approach to Investigate the Spatiotemporal Co-variability of Extreme Rainfall

Authors

Boers, N.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Rheinwalt, A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Bookhagen, B.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Marwan

Marwan, Norbert
Potsdam Institute for Climate Impact Research;

/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

Lakshmanan, V.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Gilleland, E.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

McGovern, A.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Tingley, M.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

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Citation

Boers, N., Rheinwalt, A., Bookhagen, B., Marwan, N., Kurths, J. (2015): A Complex Network Approach to Investigate the Spatiotemporal Co-variability of Extreme Rainfall. - In: Machine Learning and Data Mining Approaches to Climate Science, 163-174.
https://doi.org/10.1007/978-3-319-17220-0_15

Cite as: https://publications.pik-potsdam.de/pubman/item/item_20533

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