Research directions
The research objectives of our group distribute in several challenges, exploring multimodal observations, air-sea exchanges and upper ocean dynamics, bottom boundary turbulent processes, stochastic flow representations, data assimilation and machine learning procedures. All these challenges take place or rely on principles and/or tools of three methodological contexts
- Multi-modal observations for air-sea exchanges and upper ocean dynamics
- Stochastic calculus / uncertainty quantification / ocean dynamics
- Data-driven and learning-based representations of geophysical dynamics
Those contexts constitute the main set of methodological setups of our group. They distribute in several topical research challenges related to different issues on ocean dynamics involving observations, numerical models, learning or their coupling. We list them below.
Topical challenges
- Challenge C1: Observation and characterization of mesoscale and submesoscale processes
- Challenge C2: Observing and forecasting extremes / Cyclones / Waves
- Challenge C3: Multiscale Ensemble Data Assimilation and forecasting methods
- Challenge C4: Parameterization of subgrid scale processes in ocean models
