Network analysis reveals strongly localized impacts of El Niño

@article{Fan2017NetworkAR,
  title={Network analysis reveals strongly localized impacts of El Ni{\~n}o},
  author={Jingfang Fan and Jun Meng and Yosef Ashkenazy and Shlomo Havlin and Hans Joachim Schellnhuber},
  journal={Proceedings of the National Academy of Sciences},
  year={2017},
  volume={114},
  pages={7543 - 7548}
}
Significance El Niño, one of the strongest climatic phenomena on interannual time scales, affects the climate system and is associated with natural disasters and serious social conflicts. Here, using network theory, we construct a directed and weighted climate network to study the global impacts of El Niño and La Niña. The constructed climate network enables the identification of the regions that are most drastically affected by specific El Niño/La Niña events. Our analysis indicates that the… 

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