Search Results for author: Antonietta Capotondi

Found 2 papers, 2 papers with code

Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts

1 code implementation23 Apr 2024 Kinya Toride, Matthew Newman, Andrew Hoell, Antonietta Capotondi, Jakob Schlör, Dillon Amaya

We introduce an interpretable-by-design method, optimized model-analog, that integrates deep learning with model-analog forecasting, a straightforward yet effective approach that generates forecasts from similar initial climate states in a repository of model simulations.

Contributions of El Niño Southern Oscillation (ENSO) Diversity to Low-Frequency Changes in ENSO Variance

1 code implementation21 Jul 2023 Jakob Schlör, Felix Strnad, Antonietta Capotondi, Bedartha Goswami

El Ni\~no Southern Oscillation (ENSO) diversity is characterized based on the longitudinal location of maximum sea surface temperature anomalies (SSTA) and amplitude in the tropical Pacific, as Central Pacific (CP) events are typically weaker than Eastern Pacific (EP) events.

Cannot find the paper you are looking for? You can Submit a new open access paper.