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        Stochastic Transport in Upper Ocean Dynamics III

        STUOD 2023 Workshop, Plouzané, France, September 25–28

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        Contributor(s)
        Chapron, Bertrand (editor)
        Crisan, Dan (editor)
        Holm, Darryl D. (editor)
        Mémin, Etienne (editor)
        Coughlan, Jane-Lisa (editor)
        Language
        English
        Show full item record
        Abstract
        This open-access proceedings volume brings selected, peer-reviewed contributions presented at the Fourth Stochastic Transport in Upper Ocean Dynamics (STUOD) 2023 Workshop, held at IFREMER in Plouzané, France, September 25–28, 2023. 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). The project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. It will provide 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 volume 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 in order to meet the challenges of climate change faced today by human society. This proceedings volume 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.
        URI
        https://library.oapen.org/handle/20.500.12657/96081
        Keywords
        Mathematics of Planet Earth; math open access proceedings; Conference Proceedings; STUOD; ocean modelling; ocean observations; stochastic partial differential equations; dynamical systems; data analysis; data assimilation; deep learning
        DOI
        10.1007/978-3-031-70660-8
        ISBN
        9783031706608, 9783031706608, 9783031706592
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2025
        Grantor
        • Horizon 2020 Framework Programme - [...]
        Imprint
        Springer Nature Switzerland
        Series
        Mathematics of Planet Earth, 13
        Classification
        Applied mathematics
        Probability and statistics
        Stochastics
        Maths for engineers
        Cybernetics and systems theory
        Pages
        345
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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