Stochastic Transport in Upper Ocean Dynamics

Stochastic Transport in Upper Ocean Dynamics

STUOD 2021 Workshop, London, UK, September 20-23

Holm, Darryl; Chapron, Bertrand; Radomska, Anna; Crisan, Dan; Memin, Etienne

Springer International Publishing AG

12/2022

317

Dura

Inglês

9783031189876

15 a 20 dias

670

Descrição não disponível.
Blow-up of strong solutions of the Thermal Quasi-Geostrophic equation (R. Mensah).- Modeling under location uncertainty: a convergent large-scale representation of the Navier-Stokes equations.- (E. Memin).- A stochastic Benjamin-Bona-Mahony type equation (E. Dinvay).- Observation-based noise calibration: an efficient dynamics for the Ensemble Kalman filter (B. Dufee).- A two-step numerical scheme in time for surface quasi geostrophic equations under location uncertainty (C. Fiorini).- The Dissipation Properties of Transport Noise (F. Flandoli).- Existence and Uniqueness of Maximal Solutions to a 3D Navier-Stokes Equation with Stochastic Lie Transport (D. Goodair).- Ponderomotive coupling of waves to sea surface currents via horizontal density gradients (R. Hu).- Variational Stochastic Parameterisations and their Applications to Primitive Equation Models (S. Patching).- A pathwise parameterisation for stochastic transport (O. Lang).- Stochastic parameterization withdynamic mode decomposition (L. Li).- Deep Learning for the Benes Filter (A. Lobbe). End-to-End Kalman Filter in a High Dimensional Linear Embedding of the Observations (S. Ouala).- Dynamical Properties of Weather Regime Transitions (P. Platzer).- Frequentist perspective on robust parameter estimation using the ensemble Kalman filter (S. Reich).- Random ocean swell-rays: a stochastic framework (V. Resseguier).- Modified (hyper-)viscosity for coarse-resolution ocean models (L. Thiry).- Boussinesq equations under location uncertainty: theoretical description and models development (L. Li).- Bridging Koopman Operator and time-series auto-correlation based Hilbert-Schmidt operator (Y. Zhen).
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mathematics of planet earth;Open Access;STUOD;ocean modelling;ocean observations;stochastic partial differential equations;dynamical systems;data analysis;data assimilation;deep learning;particle filters;geometric mechanics;Navier-Stokes equation;stochastic transport;stochastic parameterization;stochastic variational principles;nonlinear water waves;free surface fluid dynamics;Stochastic Advection by Lie Transport;Stochastic Forcing by Lie Transport