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Stochastic Transport in Upper Ocean Dynamics - STUOD 2021 Workshop, London, UK, September 20-23 (Paperback, 1st ed. 2023)
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Stochastic Transport in Upper Ocean Dynamics - STUOD 2021 Workshop, London, UK, September 20-23 (Paperback, 1st ed. 2023)
Series: Mathematics of Planet Earth, 10
Expected to ship within 10 - 15 working days
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This open access proceedings volume brings selected, peer-reviewed
contributions presented at the Stochastic Transport in Upper Ocean
Dynamics (STUOD) 2021 Workshop, held virtually and in person at the
Imperial College London, UK, September 20-23, 2021. 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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