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| 020 | _a978-3-031-40094-0 | ||
| 020 | _a9783031400933 | ||
| 020 | _a9783031400940 | ||
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_a10.1007/978-3-031-40094-0 _2doi |
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| 041 | 0 | _aeng | |
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_aChapron, Bertrand _4edt |
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_aStochastic Transport in Upper Ocean Dynamics II _bSTUOD 2022 Workshop, London, UK, September 26-29 |
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_aCham _bSpringer Nature _c2024 |
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| 300 | _a1 online resource (338 p.) | ||
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 490 | 1 | _aMathematics of Planet Earth | |
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_fUnrestricted online access _2star |
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| 520 | _aThis open access proceedings volume brings selected, peer-reviewed contributions presented at the Third Stochastic Transport in Upper Ocean Dynamics (STUOD) 2022 Workshop, held virtually and in person at the Imperial College London, UK, September 26-29, 2022. 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. | ||
| 536 | _aHorizon 2020 Framework Programme | ||
| 540 |
_aCreative Commons _fby/4.0/ _2cc _uhttp://creativecommons.org/licenses/by/4.0/ |
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| 546 | _aEnglish | ||
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_aApplied mathematics _2bicssc |
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_aCalculus and mathematical analysis _2bicssc |
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_aCybernetics and systems theory _2bicssc |
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_aProbability and statistics _2bicssc |
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_aCrisan, Dan _4edt |
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_aCrisan, Dan _4oth |
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_aHolm, Darryl _4edt |
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_aHolm, Darryl _4oth |
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_aMémin, Etienne _4edt |
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| 720 | 1 |
_aMémin, Etienne _4oth |
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| 720 | 1 |
_aRadomska, Anna _4edt |
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| 720 | 1 |
_aRadomska, Anna _4oth |
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| 793 | 0 | _aDOAB Library. | |
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