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Predicting ENSO dynamics with network and complexity analyses

  • Josef Ludescher
  • , Jun Meng
  • , Jingfang Fan
  • , Armin Bunde
  • , Hans Joachim Schellnhuber

Research output: Contribution to journalArticlepeer-review

Abstract

The El Niño Southern Oscillation (ENSO) consists of El Niño, La Niña, and neutral events. Recently, we have developed two approaches (a climate network and a complexity-based approach) that allow forecasting the onset of El Niño events about 1 year in advance. The complexity-based approach additionally enables forecasting the magnitude of an upcoming El Niño event. Here, we propose the interannual relationship of the Oceanic Niño Index as an additional predictor for forecasting La Niña and neutral events. Combining the three approaches therefore enables probabilistic forecasting of all three phases of ENSO dynamics. Based on these approaches, in December 2024, we correctly forecasted the absence of an El Niño in 2025 (with 91.4% probability) and a resulting temporary decrease in the global mean temperature. With 69.6% probability, we predicted a neutral event as the most likely outcome.

Original languageEnglish
Article number023139
JournalChaos
Volume36
Issue number2
DOIs
StatePublished - 1 Feb 2026
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • General Engineering
  • General Physics and Astronomy
  • Applied Mathematics

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