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    Network-based identification and characterization of teleconnections on different scales


    Agarwal, Ankit and Caesar, Levke and Marwan, Norbert and Maheswaran, Rathinasamy and Merz, Bruno and Kurths, Jurgen (2019) Network-based identification and characterization of teleconnections on different scales. Scientific Reports, 9 (8808). ISSN 2045-2322

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    Abstract

    Sea surface temperature (SST) patterns can – as surface climate forcing – affect weather and climate at large distances. One example is El Niño-Southern Oscillation (ENSO) that causes climate anomalies around the globe via teleconnections. Although several studies identified and characterized these teleconnections, our understanding of climate processes remains incomplete, since interactions and feedbacks are typically exhibited at unique or multiple temporal and spatial scales. This study characterizes the interactions between the cells of a global SST data set at different temporal and spatial scales using climate networks. These networks are constructed using wavelet multi-scale correlation that investigate the correlation between the SST time series at a range of scales allowing instantaneously deeper insights into the correlation patterns compared to traditional methods like empirical orthogonal functions or classical correlation analysis. This allows us to identify and visualise regions of – at a certain timescale – similarly evolving SSTs and distinguish them from those with longrange teleconnections to other ocean regions. Our findings re-confirm accepted knowledge about known highly linked SST patterns like ENSO and the Pacific Decadal Oscillation, but also suggest new insights into the characteristics and origins of long-range teleconnections like the connection between ENSO and Indian Ocean Dipole.

    Item Type: Article
    Additional Information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Cite as: Agarwal, A., Caesar, L., Marwan, N. et al. Network-based identification and characterization of teleconnections on different scales. Sci Rep 9, 8808 (2019). https://doi.org/10.1038/s41598-019-45423-5
    Keywords: Network-based; identification; characterization; teleconnections; different scales;
    Academic Unit: Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
    Item ID: 13722
    Identification Number: https://doi.org/10.1038/s41598-019-45423-5
    Depositing User: Levke Caesar
    Date Deposited: 04 Dec 2020 16:16
    Journal or Publication Title: Scientific Reports
    Publisher: Nature Publishing Group
    Refereed: Yes
    URI:

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