Stochastic Transport in Upper Ocean Dynamics II : STUOD 2022 Workshop, London, UK, September 26-29 /

This open access proceedings volume brings selected, peer-reviewed contributions presented at the Third Stochastic Transport in Upper Ocean Dynamics (STUOD) 2022 Workshop, held virtually and in person at the Imperial College London, UK, September 26-29, 2022. The STUOD project is supported by an ERC...

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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:	eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Mathematics of Planet Earth, 11
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. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Internal tides energy transfers and interactions with the mesoscale circulation in two contrasted areas of the North Atlantic
Sparse-stochastic model reduction for 2D Euler equations
Effect of Transport Noise on Kelvin-Helmholtz instability
On the 3D Navier-Stokes Equations with Stochastic Lie Transport
On the interactions between mean flows and inertial gravity waves in the WKB approximation
Toward a stochastic parameterization for oceanic deep convection
Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models
An explicit method to determine Casimirs in 2D geophysical flows
Correlated structures in a balanced motion interacting with an internal wave
Linear wave solutions of a stochastic shallow water model
Analysis of Sea Surface Temperature variability using machine learning
Data assimilation: A dynamic homotopy-based coupling approach
Constrained random diffeomorphisms for data assimilation
Stochastic compressible Navier-Stokes equations under location uncertainty
Data driven stochastic primitive equations with dynamic modes decomposition.