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This open access book brings selected, peer-reviewed contributions presented at the Fifth Stochastic Transport in Upper Ocean Dynamics (STUOD) 2024 Workshop, held at INRIA in Rennes, France, September 23 26, 2024. Aimed to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics, this book provides decision-makers a means of quantifying the effects of local patterns of sea level rise, heat uptake, carbon storage, and change of oxygen content and pH in the ocean. Its multimodal monitoring will enhance the scientific understanding of marine debris transport, tracking of oil spills, and accumulation of plastic in the sea.
All topics of these proceedings are essential to the scientific foundations of oceanography which has a vital role in climate science. Studies convened in this book focus on a range of fundamental areas, including:
Observations at a high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves, and velocity.
Large-scale numerical simulations.
Data-based stochastic equations for upper ocean dynamics that quantify simulation error.
Stochastic data assimilation to reduce uncertainty.
These fundamental subjects in modern science and technology are urgently required to meet the challenges of climate change faced today by human society. This proceedings book represents a lasting legacy of crucial scientific expertise to help meet this ongoing challenge, for the benefit of academics and professionals in pure and applied mathematics, computational science, data analysis, data assimilation, and oceanography.
The STUOD project is supported by an ERC Synergy Grant and led by Imperial College London, the National Institute for Research in Computer Science and Automatic Control (INRIA), and the French Research Institute for Exploitation of the Sea (IFREMER).
Inhaltsverzeichnis
- Parameter estimation for partially observed second-order diffusion processes (J. Albrecht and S Reich).- A linear model of dynamical sea wavenumber spectra (G. Beck, C.-E. Bhéhier, L. Chevillard, R. Grande, and W. Ruffenach).- Improved blow-Up criterion in a variational framework for nonlinear SPDEs (D. Goodair).- A thermal Green-Naghdi model with time dependent bathymetry and complete Coriolis force (D. D. Holm and O. D. Street).- Ensemble data assimilation in time-evolving reproducing kernel Hilbert spaces (M. Jaouen, B. Dufée, E. Mémin and G. Tissot).- A stochastic Ekman Stokes model for coupled ocean wave atmosphere dynamics (L. Li, E. Mémin and B. Chapron).- A note on stochastic wave action (E. Mémin, L. Marié and B. Chapron).- A stochastic description of eddy-mean flow interactions (M. Nex, Q. Jamet, E. Mémin and F. Sévellec).- Sequential importance resampling of particle-in-cell for swell dynamics (T. Protin, V. Ressequier, M. Hell, B. Chapron and R. Fablet).
Über den Autor / die Autorin
Bertrand Chapron
is Head of the Space Oceanography Laboratory 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 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 Professor of mathematics at Imperial College London, UK, and 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 stochastic optimal control for shape analysis.
Etienne Mémin
is 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.
Jane-Lisa Coughlan
is Programme Project Manager at Imperial College London, UK.
Zusammenfassung
This open access book brings selected, peer-reviewed contributions presented at the Fifth Stochastic Transport in Upper Ocean Dynamics (STUOD) 2024 Workshop, held at INRIA in Rennes, France, September 23–26, 2024. Aimed to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics, this book provides decision-makers a means of quantifying the effects of local patterns of sea level rise, heat uptake, carbon storage, and change of oxygen content and pH in the ocean. Its multimodal monitoring will enhance the scientific understanding of marine debris transport, tracking of oil spills, and accumulation of plastic in the sea.
All topics of these proceedings are essential to the scientific foundations of oceanography which has a vital role in climate science. Studies convened in this book focus on a range of fundamental areas, including:
• Observations at a high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves, and velocity.
• Large-scale numerical simulations.
• Data-based stochastic equations for upper ocean dynamics that quantify simulation error.
• Stochastic data assimilation to reduce uncertainty.
These fundamental subjects in modern science and technology are urgently required to meet the challenges of climate change faced today by human society. This proceedings book represents a lasting legacy of crucial scientific expertise to help meet this ongoing challenge, for the benefit of academics and professionals in pure and applied mathematics, computational science, data analysis, data assimilation, and oceanography.
The STUOD project is supported by an ERC Synergy Grant and led by Imperial College London, the National Institute for Research in Computer Science and Automatic Control (INRIA), and the French Research Institute for Exploitation of the Sea (IFREMER).
