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…