Stochastic Transport in Upper Ocean Dynamics” (STUOD) project is the highly prestigious ERC Synergy Grant, led by Imperial College London, National Institute for Research in Computer Science and Automatic Control (INRIA) and the French Research Institute for Exploitation of the Sea (IFREMER). The project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. It will provide decision makers a means of quantifying the effects of local patterns of sea level rise, heat uptake, carbon storage and change of oxygen content and pH in the ocean. Its multimodal monitoring will enhance the scientific understanding of marine debris transport, tracking of oil spills and accumulation of plastic in the sea.

In September 2020, STUOD is planning to host a remote Inaugural Workshop which will focus on a range of fundamental topic areas, including:
1. observations at high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves and velocity;
2. large scale numerical simulations;
3. data-based stochastic equations for upper ocean dynamics that quantify simulation error;
4. stochastic data assimilation to reduce uncertainty.

Scientific Committee:
• Prof Darryl Holm (Imperial College of London),
• Prof Bertrand Chapron (Ifremer),
• Prof Dan Crisan (Imperial College of London),
• Prof Etienne Mémin (INRIA).

Programme and Format

This 4-day event will include individual presentations, snapshot presentations and networking sessions. A tentative format is overview talks in the morning and focused discussion sessions in the afternoon. The speakers include leading mid-career and senior researchers as well as early-career researchers. This structure will yield opportunities for: investigators at an early stage of their career to have discussions with established scientist, fostering potential future research collaborations, networking as well as inclusion and training of the next generation of researchers.

The programme is being finalised and is subject to change. The latest version is available here.

Links to the slides from the talks are provided in the schedule below:

Monday: 21 September 2020  – Session I

WP 1: Multi-modal ocean data acquisition, analysis and interpretation – Bertrand Chapron (IFREMER)
WP 2: Uncertainty representation and stochastic parameterization– Darryl Holm (Imperial College London)
WP 3: Numerical schemes for stochastic fluid transport and diffusion – Etienne Memin (INRIA)
WP4: Multiscale ensemble Data Assimilation and forecasting methods – Dan Crisan (Imperial College London)

Monday: 21 September 2020  – Session II

ALDI: Geometry for discount inference – Sebastian Reich (University of Potsdam)
Remarks on stochastic atmosphere-ocean modelling from a computational perspective – Peter Korn (Max Planck Institute for Meteorology)
An operational ensemble Kalman Filter perspective on STUOD – Laurent Bertino (Nansen Environmental and Remote Sensing Center)
Physics-based subgrid schemes in stochastic models – Baylor Fox-Kemper (Brown University)

Tuesday: 22 SeptemberSession I

Numerical scheme for thermal quasi-geostrophic equations (TQG) – Wei Pan (Imperial College London)
Analytical properties for LU and SALT SPDEs – Oana Lang (Imperial College London)
Stochastic modeling of oceanic mesoscale eddies – Long Li (INRIA)

Tuesday: 22 SeptemberSession II

Eddies, deterministic forcings, and the ocean mixed layer – Anne Marie Treguier (CNRS)
Analysis of acoustic-gravity waves in a free-surface compressible and stratified ocean – Laurent Debreu (INRIA)
Numerical methods for free surface Navier-Stokes equations: variable density flows and dispersive waves – Jacques Sainte-Marie (INRIA)
Approximation-diffusion and fluid limits for (S)PDEs – Arnaud Debussche (Ecole Normale Supérieure de Rennes)

Wednesday: 23 SeptemberSession I

Machine learned 4DVar – a case study with the L63 model – So Takao (Imperial College London)
Ocean response to Extreme Atmospheric events – Nicolas Reul (IFREMER)
The thermal quasi-geostrophic (TQG) equations in ocean modelling – Erwin Luesink (Imperial College London)


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This seminar series is supported as part of the Virtual Forum for Knowledge Exchange in the Mathematical Sciences. Zoom is the online platform being used to deliver this seminar series. 

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