• Produktbild: Stochastic Transport in Upper Ocean Dynamics
  • Produktbild: Stochastic Transport in Upper Ocean Dynamics
Band 10

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

48,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.12.2022

Abbildungen

XVI, 317 p. 56 illus., 53 illus. in color.

Herausgeber

Bertrand Chapron + weitere

Verlag

Springer

Seitenzahl

317

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

670 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-18987-6

Beschreibung

Portrait


Bertrand Chapron
is a Director of Research at Ifremer – French Research Institute for Exploitation of the Sea, France. His research activities lie in applied mathematics, physical oceanography, electromagnetic wave theory and its applications to ocean remote sensing, and data processing.



Dan Crisan
is a Professor at the Department of Mathematics of Imperial College London, UK, and Director of the EPSRC Centre for Doctoral Training in the Mathematics of Planet Earth. His current research interests lie in stochastic analysis, fluid dynamics, nonlinear filtering and probabilistic numerical methods.



Darryl Holm
is a Professor of Mathematics at Imperial College London, UK, and a Fellow of Los Alamos National Laboratory, USA. His works have applied geometric mechanics in many topics, including geophysical fluid dynamics (GFD) for ocean circulation, stochastic fluid dynamics, turbulence, nonlinear waves, and stochasticoptimal control for shape analysis.






Étienne Mémin
is a Director of Research at Inria – National Institute for Research in Digital Science and Technology, France. His research focuses on stochastic modeling of fluid flows and data assimilation, an activity that crosses disciplines such as geophysics, fluid mechanics,  and applied mathematics.



Anna Radomska
is a Programme Project Manager at Imperial College London, UK.



Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.12.2022

Abbildungen

XVI, 317 p. 56 illus., 53 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

317

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

670 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-18987-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Stochastic Transport in Upper Ocean Dynamics
  • Produktbild: Stochastic Transport in Upper Ocean Dynamics

  • 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).