Stochastic Transport in Upper Ocean Dynamics III
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...
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Springer Nature
2025
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| Dostęp online: | ONIX_20241220_9783031706608_20 |
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| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-149772 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1497722025-01-15T12:40:45Z Stochastic Transport in Upper Ocean Dynamics III Chapron, Bertrand Crisan, Dan Holm, Darryl D. Mémin, Etienne Coughlan, Jane-Lisa 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 thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory 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. 2025-01-15T12:40:44Z 2025-01-15T12:40:44Z 2024-12-20T10:43:17Z 2025 book ONIX_20241220_9783031706608_20 https://library.oapen.org/handle/20.500.12657/96081 9783031706608 9783031706592 https://directory.doabooks.org/handle/20.500.12854/149772 eng Mathematics of Planet Earth open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/96081/1/9783031706608.pdf Springer Nature Springer Nature Switzerland 10.1007/978-3-031-70660-8 10.1007/978-3-031-70660-8 9fa3421d-f917-4153-b9ab-fc337c396b5a 934fa25c-7607-42a3-b320-9719e66e012e 64fc1b3d-35b2-4ac2-b318-6c1936261294 9783031706608 9783031706592 Springer Nature Switzerland 345 Cham [...] Horizon 2020 Framework Programme EU Framework Programme for Research and Innovation H2020 10.13039/100010661 open access |
| spellingShingle | 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 thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory Stochastic Transport in Upper Ocean Dynamics III |
| title | Stochastic Transport in Upper Ocean Dynamics III |
| title_full | Stochastic Transport in Upper Ocean Dynamics III |
| title_fullStr | Stochastic Transport in Upper Ocean Dynamics III |
| title_full_unstemmed | Stochastic Transport in Upper Ocean Dynamics III |
| title_short | Stochastic Transport in Upper Ocean Dynamics III |
| title_sort | stochastic transport in upper ocean dynamics iii |
| topic | 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 thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory |
| topic_facet | 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 thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWL Stochastics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory |
| url | ONIX_20241220_9783031706608_20 |