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dc.contributor.editorChapron, Bertrand
dc.contributor.editorCrisan, Dan
dc.contributor.editorHolm, Darryl D.
dc.contributor.editorMémin, Etienne
dc.contributor.editorCoughlan, Jane-Lisa
dc.date.accessioned2024-12-20T10:43:17Z
dc.date.available2024-12-20T10:43:17Z
dc.date.issued2025
dc.identifierONIX_20241220_9783031706608_20
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/96081
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesMathematics of Planet Earth
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory
dc.subject.otherMathematics of Planet Earth
dc.subject.othermath open access proceedings
dc.subject.otherConference Proceedings
dc.subject.otherSTUOD
dc.subject.otherocean modelling
dc.subject.otherocean observations
dc.subject.otherstochastic partial differential equations
dc.subject.otherdynamical systems
dc.subject.otherdata analysis
dc.subject.otherdata assimilation
dc.subject.otherdeep learning
dc.titleStochastic Transport in Upper Ocean Dynamics III
dc.title.alternativeSTUOD 2023 Workshop, Plouzané, France, September 25–28
dc.typebook
oapen.identifier.doi10.1007/978-3-031-70660-8
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy934fa25c-7607-42a3-b320-9719e66e012e
oapen.relation.isbn9783031706608
oapen.relation.isbn9783031706592
oapen.imprintSpringer Nature Switzerland
oapen.series.number13
oapen.pages345
oapen.place.publicationCham
oapen.grant.number[...]


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