Data and code for "Dynamics-Informed Deep Learning for Predicting Extreme Events"
Abstract
This archive contains the source code and processed time-series data used to generate all results and figures in the associated manuscript. The repository includes training and prediction scripts, model implementations, and data required to reproduce the experiments.
Fields of Study & Subjects
Model Reduction and Neural Networks
Meteorological Phenomena and Simulations
Traffic Prediction and Management Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 February 2026