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Stochastic Transport in Upper Ocean Dynamics STUOD 2021 Workshop, London, UK, September 20-23 /

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This open access proceedings volume brings selected, peer-reviewed contributions presented at the Stochastic Transport in Upper Ocean Dynamics (STUOD) 2021 Workshop, held virtually and in person at the Imperial College London, UK, September 20-23, 2021. The STUOD project is supported by an ERC Syner...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chapron, Bertrand (Editor), Crisan, Dan (Editor), Holm, Darryl (Editor), Mémin, Etienne (Editor), Radomska, Anna (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Mathematics of Planet Earth, 10
Subjects:
Geography > Mathematics.
Stochastic analysis.
Stochastic models.
Differential equations.
Dynamics.
Nonlinear theories.
Mathematics of Planet Earth.
Stochastic Analysis.
Stochastic Modelling.
Differential Equations.
Applied Dynamical Systems.
Online Access:Link to Metadata
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Table of Contents:
  • 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 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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