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Stochastic Transport in Upper Ocean Dynamics II - STUOD 2022 Workshop, London, UK, September 26–29 (1st ed. 2024)
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Stochastic Transport in Upper Ocean Dynamics II - STUOD 2022 Workshop, London, UK, September 26–29 (1st ed. 2024)
Series: Mathematics of Planet Earth, 11
Expected to ship within 12 - 17 working days
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This 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.
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