Forecasting the magnitude and onset of El Nino based on climate network

  title={Forecasting the magnitude and onset of El Nino based on climate network},
  author={Jun Meng and Jingfang Fan and Yosef Ashkenazy and Armin Bunde and Shlomo Havlin},
  journal={arXiv: Geophysics},
El Nino is probably the most influential climate phenomenon on interannual time scales. It affects the global climate system and is associated with natural disasters and serious consequences in many aspects of human life. However, the forecasting of the onset and in particular the magnitude of El Nino are still not accurate, at least more than half a year in advance. Here, we introduce a new forecasting index based on network links representing the similarity of low frequency temporal… 

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