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Complex networks reveal global pattern of extreme-rainfall teleconnections

Author

Listed:
  • Niklas Boers

    (Imperial College
    Potsdam Institute for Climate Impact Research)

  • Bedartha Goswami

    (Potsdam Institute for Climate Impact Research)

  • Aljoscha Rheinwalt

    (University of Potsdam)

  • Bodo Bookhagen

    (University of Potsdam)

  • Brian Hoskins

    (Imperial College
    University of Reading)

  • Jürgen Kurths

    (Potsdam Institute for Climate Impact Research
    Humboldt University
    Saratov State University)

Abstract

Climatic observables are often correlated across long spatial distances, and extreme events, such as heatwaves or floods, are typically assumed to be related to such teleconnections1,2. Revealing atmospheric teleconnection patterns and understanding their underlying mechanisms is of great importance for weather forecasting in general and extreme-event prediction in particular3,4, especially considering that the characteristics of extreme events have been suggested to change under ongoing anthropogenic climate change5–8. Here we reveal the global coupling pattern of extreme-rainfall events by applying complex-network methodology to high-resolution satellite data and introducing a technique that corrects for multiple-comparison bias in functional networks. We find that the distance distribution of significant connections (P

Suggested Citation

  • Niklas Boers & Bedartha Goswami & Aljoscha Rheinwalt & Bodo Bookhagen & Brian Hoskins & Jürgen Kurths, 2019. "Complex networks reveal global pattern of extreme-rainfall teleconnections," Nature, Nature, vol. 566(7744), pages 373-377, February.
    • Handle: RePEc:nat:nature:v:566:y:2019:i:7744:d:10.1038_s41586-018-0872-x
    DOI: 10.1038/s41586-018-0872-x
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