AI Data-driven Models and Very Large Ensembles for the Prediction of Extreme Events
Abstract
We propose to develop a novel regional artificial intelligence (AI) data-driven model to improve the predictions of atmospheric rivers and the associated extreme weather events. We will leverage the recently developed global AI data-driven models and the Center for Western Weather and Water Extremes high-resolution reanalysis (6 and 2 km domains over the Central and Eastern Pacific and Western US). These models can generate a forecast in just a few seconds to minutes, which will allow us to develop very-large ensembles (+7000 members) both regionally and globally, covering regions of interest to the Navy worldwide. We will also investigate the abilityof both the new regional and the existing global AI data-driven models to represent physical relationships across different variables in space and time. We will collaborate with colleagues from the Naval Research Laboratory, the European Centre for Medium-Range Weather Forecasts, and the Norwegian Meteorological Institute. Approved for Public Release
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 09, 2024
- Source ID
- N000142412731
Entities
People
- Luca Delle Monache
Organizations
- Office of Naval Research
- United States Navy
- University of California, San Diego