Project description
Data-driven predictive system for coastal storm erosion
Coastal storm-induced erosion is a major global challenge threatening communities, infrastructure and ecosystems. Many areas, particularly the Atlantic coast of Europe, still lack effective early warning systems to predict beach erosion, limiting coastal risk mitigation. The MSCA-funded CoStErAS project aims to develop a predictive framework for beach erosion by creating a comprehensive multi-source dataset incorporating diverse coastal settings worldwide, combining existing datasets with new data from field measurements, satellite observations and numerical simulations. The project will integrate coastal physics with AI-bases approaches to identify the dominant controls of storm erosion, developing interpretable and reliable models while avoiding black-box predictions. The framework will define appropriate modelling strategies, providing predictive tools for data-rich regions and operational guidance for data-limited areas to enhance coastal resilience.
Objective
Coastal storm-induced erosion is a pressing global issue threatening coastal communities, infrastructure, and ecosystems, increasingly exacerbated by climate change and human pressures. Yet, many regions—particularly the Atlantic coast of Europe—still lack operational Early Warning Systems (EWSs) able to predict storm-induced erosion, a key component for storm risk mitigation. The CoStErAS project addresses this gap by developing a predictive framework for storm-driven beach erosion that is both robust and transferable, designed for integration into EWSs. A comprehensive storm impact dataset will be built by combining existing long-term records (Australia, USA, Japan, France) with new European field data, satellite-derived shorelines, and XBeach simulations. This dataset will underpin the development of a new modelling framework that couples physics-informed feature engineering with advanced AI approaches (e.g. Bayesian Networks for explanatory/causal analysis, XGBoost for predictive skill optimization). This strategy avoids “black-box” pitfalls, ensuring models remain interpretable, transparent, and applicable across diverse coastal settings and tidal regimes. In data-rich areas, the model will provide reliable real-time predictions; in data-limited regions, it will deliver clear guidelines and strategies for operational implementation. Through this MSCA fellowship, I will be trained by world-leading experts at UNSW-WRL (outgoing phase) and EPOC Bordeaux (return phase), acquiring advanced skills in remote sensing, AI, and large-scale coastal modelling. This experience will also deepen my expertise in Atlantic European systems, strengthening my career goal of securing a permanent research position in France. Ultimately, CoStErAS will advance predictive modelling of storm-induced beach erosion, provide valuable insights for the scientific community, and deliver practical tools to improve the resilience of European—and global—coastal societies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences physical geography coastal geography
- engineering and technology environmental engineering remote sensing
- natural sciences biological sciences ecology ecosystems
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
33000 Bordeaux
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.