top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Stochastic Transport in Upper Ocean Dynamics : STUOD 2021 Workshop, London, UK, September 20-23
Stochastic Transport in Upper Ocean Dynamics : STUOD 2021 Workshop, London, UK, September 20-23
Autore Chapron Bertrand
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2022
Descrizione fisica 1 electronic resource (317 p.)
Altri autori (Persone) CrisanDan
HolmDarryl
MéminEtienne
RadomskaAnna
Collana Mathematics of Planet Earth
Soggetto topico Applied mathematics
Probability & statistics
Calculus & mathematical analysis
Cybernetics & systems theory
Oceanografia
Soggetto genere / forma Congressos
Llibres electrònics
Soggetto non controllato mathematics of planet earth
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
ISBN 3-031-18988-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910635387403321
Chapron Bertrand  
Cham : , : Springer International Publishing AG, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic Transport in Upper Ocean Dynamics II : STUOD 2022 Workshop, London, UK, September 26–29 / / edited by Bertrand Chapron, Dan Crisan, Darryl Holm, Etienne Mémin, Anna Radomska
Stochastic Transport in Upper Ocean Dynamics II : STUOD 2022 Workshop, London, UK, September 26–29 / / edited by Bertrand Chapron, Dan Crisan, Darryl Holm, Etienne Mémin, Anna Radomska
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XIV, 338 p. 65 illus., 60 illus. in color.)
Disciplina 519
Collana Mathematics of Planet Earth
Soggetto topico Geography - Mathematics
Stochastic analysis
Stochastic models
Differential equations
Dynamics
Nonlinear theories
Mathematics of Planet Earth
Stochastic Analysis
Stochastic Modelling
Differential Equations
Applied Dynamical Systems
Oceanografia
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031400940
3031400941
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910746982103321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic Transport in Upper Ocean Dynamics III : STUOD 2023 Workshop, Plouzané, France, September 25–28 / / edited by Bertrand Chapron, Dan Crisan, Darryl D. Holm, Etienne Mémin, Jane-Lisa Coughlan
Stochastic Transport in Upper Ocean Dynamics III : STUOD 2023 Workshop, Plouzané, France, September 25–28 / / edited by Bertrand Chapron, Dan Crisan, Darryl D. Holm, Etienne Mémin, Jane-Lisa Coughlan
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XIV, 345 p. 72 illus., 67 illus. in color.)
Disciplina 519
Collana Mathematics of Planet Earth
Soggetto topico Geography - Mathematics
Stochastic models
Dynamics
Nonlinear theories
Mathematics of Planet Earth
Stochastic Modelling
Applied Dynamical Systems
ISBN 9783031706608
3031706609
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910911301003321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui