Work

Predicting ENSO dynamics with network and complexity analyses

Year: 2026

Type: article

Source: Chaos An Interdisciplinary Journal of Nonlinear Science

DOI: 10.1063/5.0307169

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

Institutions: Leibniz Association, Potsdam Institute for Climate Impact Research, Chinese Academy of Sciences, Institute of Atmospheric Physics, Beijing Normal University, Justus-Liebig-Universität Gießen, International Institute for Applied Systems Analysis

Language: English

Topic: Climate variability and models

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G2458227886, G3423483711, G3736274911, G5438945422, G624612281, G6691043120, G8414502683, G8477792116

OpenAlex ID: W7130642745

FWCI: 3.416

Cites: 51

Cited by: 1

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