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GEM-SBP

Financiado

GEophysical Modelling of Shelf-to-Basin Processes

Shelf-to-basin sedimentary processes entail intricate interactions between the ocean sub-mesoscale and the near-seafloor sediments. These processes hold significant multidisciplinary importance, given their ecological impact, rele... ver más

14/09/2026

IST

173K€

Presupuesto del proyecto: 173K€

Líder del proyecto

INSTITUTO SUPERIOR TECNICO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-04-29

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

HORIZON-WIDERA-2023-TALENTS-02-01: ERA Fellowships

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1 Participantes

IST

172.62K€ | Lider

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Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 28 meses Fecha Inicio: 2024-04-29
Fecha Fin: 2026-09-14

Líder del proyecto

INSTITUTO SUPERIOR TECNICO

TRL 4-5

Presupuesto del proyecto 173K€

Descripción del proyecto Shelf-to-basin sedimentary processes entail intricate interactions between the ocean sub-mesoscale and the near-seafloor sediments. These processes hold significant multidisciplinary importance, given their ecological impact, relevance to marine geo-hazards, and role in shaping continental margins and global climate. However, there's a gap in quantitative tools to model and characterize these processes simultaneously considering oceanographic and near-seafloor sediments properties. In GEM-SBP I will use ultra-high-resolution seismic reflection data (UHRS) to create a set of modelling techniques able to couple both domains. The Southeastern Levant Basin (SLB) will serve as a natural laboratory for studying the interaction between the sedimentological and oceanographic domains. This semi-enclosed basin features a single sediment source and a multitude of morphologically complex features formed by sediment transport mechanisms. I will first develop novel seismic processing workflows tailored for ocean and near-seafloor sediments imaging that will consistently yield a seismic image depicting both domains and their interaction. I will then develop and implement an iterative geostatistical seismic inversion procedure able to invert the processed UHRS for high-resolution ocean (i.e., temperature and salinity) and near-seafloor geotechnical models. I intend to leverage the most recent advances in deep learning to build a spatial regression model and predict these properties in 3-D by integrating spaceborne earth observation data. Our models will provide insights into the sediment transport mechanisms dynamics and will pave the way for a new set of methodologies for studying these phenomena on a global scale. I intend to raise society's awareness about the global impact of oceanographic and seafloor processes, through outreach, communication and dissemination activities aiming to foster a multi-stakeholder environment (i.e., industry, academia and public) within the project.

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