A network-based comparative study of extreme tropical and frontal storm rainfall over Japan
Author:
Funder
Forschungsgemeinschaft
Bundesministerium für Bildung und Forschung
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00382-018-4597-1.pdf
Reference62 articles.
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2. Agarwal A, Marwan N, Maheswaran R, Merz B, Kurths J (2018a) Quantifying the roles of single stations within homogeneous regions using complex network analysis. J Hydrol 563:802–810. https://doi.org/10.1016/j.jhydrol.2018.06.050
3. Agarwal A, Marwan N, Rathinasamy M, Ozturk U, Merz B, Kurths J (2018b) Optimal design of hydrometric station networks based on complex network analysis. Hydrol Earth Syst Sci Discuss. https://doi.org/10.5194/hess-2018-113
4. Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 10:P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
5. Boers N, Bookhagen B, Barbosa HMJ, Marwan N, Kurths J, Marengo JA (2014a) Prediction of extreme floods in the eastern Central Andes based on a complex networks approach. Nat Commun 5:5199. https://doi.org/10.1038/ncomms6199
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