2 papers
cs.LG2025
A Hybrid Deep-Learning Model for El Niño Southern Oscillation in the Low-Data Regime
Jakob Schloer, Matthew Newman, Jannik Thuemmel +2
While deep-learning models have demonstrated skillful El Niño Southern Oscillation (ENSO) forecasts up to one year in advance, they are predominantly trained on climate model simu…
physics.ao-ph2024
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
Kinya Toride, Matthew Newman, Andrew Hoell +3
We introduce an interpretable-by-design method, optimized model-analog, that integrates deep learning with model-analog forecasting which generates forecasts from similar initial c…