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Stochastic Transport in Upper Ocean Dynamics

Objective

71% of Earth is covered by ocean. The ocean has absorbed 93% of the heat trapped by human’s greenhouse gas emissions. The ocean’s future responses to continued warming are uncertain. Our project will 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. Our approach accounts for transport on scales that are currently unresolvable in computer simulations, yet are observable by satellites, drifters and floats. Four scientific capabilities will be engaged: (i) observations at high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves and velocity; (ii) large scale numerical simulations; (iii) data-based stochastic equations for upper ocean dynamics that quantify simulation error; and (iv) stochastic data assimilation to reduce uncertainty. These four scientific capabilities will tackle a network of joint tasks achieved through cooperation of three world-calibre institutions: IFREMER (ocean observations, reanalysis); INRIA (computational science); and Imperial College (mathematics, data assimilation). Our complementary skill sets comprise a single systemic effort: (1) Coordinate and interpret high-resolution satellite and in situ upper ocean observations (2) Extract correlations from data needed for the mathematical model (3) Perform an ensemble of computer simulations using our new stochastic partial differential equations (SPDE) which are derived by matching the observed statistical properties (4) Apply advanced data assimilation and computer simulations to reduce model uncertainty The key to achieving these goals will be synergy in our combined expertise.

Field of science

  • /natural sciences/mathematics/applied mathematics/mathematical model
  • /natural sciences/physical sciences/astronomy/planetary science/satellites
  • /natural sciences/computer and information sciences/computational science
  • /natural sciences/mathematics
  • /natural sciences/mathematics/pure mathematics/mathematical analysis/differential equations/partial differential equations
  • /social sciences/social and economic geography/transport

Call for proposal

ERC-2019-SyG
See other projects for this call

Funding Scheme

ERC-SyG - Synergy grant

Host institution

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Address
South Kensington Campus Exhibition Road
SW7 2AZ London
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 4 956 995

Beneficiaries (3)

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom
EU contribution
€ 4 956 995
Address
South Kensington Campus Exhibition Road
SW7 2AZ London
Activity type
Higher or Secondary Education Establishments
INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
France
EU contribution
€ 2 491 555
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
Activity type
Research Organisations
INSTITUT FRANCAIS DE RECHERCHE POUR L'EXPLOITATION DE LA MER
France
EU contribution
€ 2 550 325
Address
1625 Route De Sainte Anne Zone Industrielle De La Pointe Du Diable
29280 Plouzane
Activity type
Research Organisations