Stochastic Transport in Upper Ocean Dynamics III

Bertrand Chapron is a Director of Research at Ifremer – French Research Institute for Exploitation of the Sea, France. His research activities lie in applied mathematics, physical oceanography, electromagnetic wave theory and its applications to ocean remote sensing, and data processing.Dan Crisan is a Professor at the Department of Mathematics of Imperial College London, UK, and Director of the EPSRC Centre for Doctoral Training in the Mathematics of Planet Earth. His current research interests lie in stochastic analysis, fluid dynamics, nonlinear filtering and probabilistic numerical methods.Darryl Holm is a Professor of Mathematics at Imperial College London, UK, and a Fellow of Los Alamos National Laboratory, USA. His works have applied geometric mechanics in many topics, including geophysical fluid dynamics (GFD) for ocean circulation, stochastic fluid dynamics, turbulence, nonlinear waves, and stochastic optimal control for shape analysis.Étienne Mémin is a Director of Research at Inria – National Institute for Research in Digital Science and Technology, France. His research focuses on stochastic modeling of fluid flows and data assimilation, an activity that crosses disciplines such as geophysics, fluid mechanics,  and applied mathematics.Jane-Lisa Coughlan is a Programme Project Manager at Imperial College London, UK.

• Generative Modelling of Stochastic Rotating Shallow Water Noise.- Collisions of Burgers Bores with Nonlinear Waves.- Average dissipation for stochastic transport equations with Lévy noise.- General Solution Theory for the Stochastic Navier-Stokes Equations.- Geometric theory of perturbation dynamics around non-equilibrium fluid flows.- On forward-backward SDE approaches to conditional estimation.- Data Assimilation for the  Stochastic Camassa-Holm Equation Using  Particle Filtering: A Numerical Investigation.- Some properties of a non-hydrostatic stochastic oceanic primitive equations model.- Derivation of stochastic models for coastal waves.- The Effects of Unresolved Scales on Analogue Forecasting Ensembles.- Particle-based algorithm for stochastic optimal control.- Maximum likelihood estimation of subgrid flows from tracer image sequences.- Transport noise defined from wavelet transform for model-based stochastic ocean models.- Stochastic fluids with transport noise: Approximating diffusion from data using SVD and ensemble forecast back-propagation.