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GEophysical Modelling of Shelf-to-Basin Processes

CORDIS · observation · Publication date unknown

nversion 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. Ultra high resolution seismic, shelf-to-basin processes, seismic oceanography, geostatistical inversion

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recordType

award

status

SIGNED

region

EU

value

172618.56

unit

EUR