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  Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach

Kurths, J., Agarwal, A., Shukla, R., Marwan, N., Rathinasamy, M., Caesar, L., Krishnan, R., Merz, B. (2019): Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach. - Nonlinear Processes in Geophysics, 26, 3, 251-266.
https://doi.org/10.5194/npg-26-251-2019

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_23469 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_23469_2
Genre: Journal Article

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 Creators:
Kurths, Jürgen1, Author              
Agarwal, A.2, Author
Shukla, R.2, Author
Marwan, Norbert1, Author              
Rathinasamy, M.2, Author
Caesar, L.2, Author
Krishnan, R.2, Author
Merz, B.2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              

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 Dates: 2019
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.5194/npg-26-251-2019
PIKDOMAIN: RD4 - Complexity Science
PIKDOMAIN: RD1 - Earth System Analysis
eDoc: 8687
Working Group: Earth System Modes of Operation
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: Nonlinear Processes in Geophysics
Source Genre: Journal
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Pages: - Volume / Issue: 26 (3) Sequence Number: - Start / End Page: 251 - 266 Identifier: -