The authors develop Kausal, a deep learning framework that combines causal discovery with Koopman operator theory to study complex, nonlinear systems. They show that it accurately identifies causal signals and successfully detects major El Niño and La Niña events, outperforming existing methods.
- Juan Nathaniel
- Carla Roesch
- Pierre Gentine
