Non-linear time series analysis of precipitation events using regional climate networks for Germany-Reference-Cited by-同舟云学术

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Non-linear time series analysis of precipitation events using regional climate networks for Germany

Published:2015-05-12 Issue:3-4 Volume:46 Page:1065-1074
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Rheinwalt Aljoscha,Boers Niklas,Marwan Norbert,Kurths Jürgen,Hoffmann Peter,Gerstengarbe Friedrich-Wilhelm,Werner Peter

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00382-015-2632-z.pdf

Reference26 articles.

1. Barnett L, Di Paolo E, Bullock S (2007) Spatially embedded random networks. Phys Rev E 76:056115. doi: 10.1103/PhysRevE.76.056115

2. Berezin Y, Gozolchiani A, Guez O, Havlin S (2012) Stability of climate networks with time. Sci Rep 2:666

3. Boers N, Bookhagen B, Marwan N, Kurths J, Marengo J (2013) Complex networks identify spatial patterns of extreme rainfall events of the South American monsoon system. Geophysical Research Letters 40(16):4386

4. Boers N, Bookhagen B, Barbosa H, Marwan N, Kurths J, Marengo J (2014a) Prediction of extreme floods in the eastern central andes based on a complex networks approach. Nat commun 5:5199

5. Boers N, Rheinwalt A, Bookhagen B, Barbosa HMJ, Marwan N, Marengo J, Kurths J (2014b) The South American rainfall dipole: a complex network analysis on extreme events. Geophys Res Lett 41:7397

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