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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. Mémin)
A stochastic Benjamin-Bona-Mahony type equation (E. Dinvay)
Observation-based noise calibration: an efficient dynamics for the Ensemble Kalman filter (B. Dufée)
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 with dynamic 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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