Predicting ENSO dynamics with network and complexity analyses

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.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2026-02-01
DOI
https://doi.org/10.1063/5.0307169
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
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article

Predicting ENSO dynamics with network and complexity analyses

Hans Joachim Schellnhuber, Jingfang Fan, Josef Ludescher, Armin Bunde et al.
Chaos An Interdisciplinary Journal of Nonlinear Science
Climate variability and models
article

Predicting ENSO dynamics with network and complexity analyses

Hans Joachim Schellnhuber, Jingfang Fan, Josef Ludescher, Armin Bunde, J. Meng
article en

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.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 36(2)
International Institute for Applied Systems Analysis (AT), Justus-Liebig-Universität Gießen (DE), Beijing Normal University (CN), Institute of Atmospheric Physics (CN), Potsdam Institute for Climate Impact Research (DE)
Climate action
Openalex Percentile: Top 64%
Climate variability and models
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Predicting ENSO dynamics with network and complexity analyses — Hans Joachim Schellnhuber, Jingfang Fan, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science (2026) | TGRS Research Map | TGRS