Complex networks reveal global pattern of extreme-rainfall teleconnections

Niklas Boers (), Bedartha Goswami, Aljoscha Rheinwalt, Bodo Bookhagen, Brian Hoskins and Jürgen Kurths
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Niklas Boers: Imperial College
Bedartha Goswami: Potsdam Institute for Climate Impact Research
Aljoscha Rheinwalt: University of Potsdam
Bodo Bookhagen: University of Potsdam
Brian Hoskins: Imperial College
Jürgen Kurths: Potsdam Institute for Climate Impact Research

Nature, 2019, vol. 566, issue 7744, 373-377

Abstract: 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

Date: 2019
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DOI: 10.1038/s41586-018-0872-x

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