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.
Authors
- Hans Joachim Schellnhuber (ORCID: https://orcid.org/0000-0001-7453-4935)
- Jingfang Fan (ORCID: https://orcid.org/0000-0002-7365-2451)
- Josef Ludescher (ORCID: https://orcid.org/0009-0004-5693-7684)
- Armin Bunde
- J. Meng
Institutions
- 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)
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
- 0.00