Author:
Fan Jingfang,Meng Jun,Ashkenazy Yosef,Havlin Shlomo,Schellnhuber Hans Joachim
Abstract
Climatic conditions influence the culture and economy of societies and the performance of economies. Specifically, El Niño as an extreme climate event is known to have notable effects on health, agriculture, industry, and conflict. Here, we construct directed and weighted climate networks based on near-surface air temperature to investigate the global impacts of El Niño and La Niña. We find that regions that are characterized by higher positive/negative network “in”-weighted links are exhibiting stronger correlations with the El Niño basin and are warmer/cooler during El Niño/La Niña periods. In contrast to non-El Niño periods, these stronger in-weighted activities are found to be concentrated in very localized areas, whereas a large fraction of the globe is not influenced by the events. The regions of localized activity vary from one El Niño (La Niña) event to another; still, some El Niño (La Niña) events are more similar to each other. We quantify this similarity using network community structure. The results and methodology reported here may be used to improve the understanding and prediction of El Niño/La Niña events and also may be applied in the investigation of other climate variables.
Funder
European Union
Ministry of Science and Technology of Italy-Israel program
Ministry of Science and Technology Japan-Israel program
DOD | Office of Naval Research
DOD | Defense Threat Reduction Agency
Publisher
Proceedings of the National Academy of Sciences
Cited by
85 articles.
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