Coastal flooding is a growing global challenge driven by climate change, sea level rise, and increasing human pressure on coastal zones. Addressing this problem requires integrated approaches that combine reliable data, advanced modelling techniques, and efficient computational frameworks.
However, current methodologies are often fragmented and limited by data heterogeneity and computational constraints. This project aims to overcome these limitations by developing a comprehensive and scalable framework for coastal flood analysis and adaptation.
The following objectives define the key components of this approach.
O1. DataHub
To develop an interoperable access point to standardize historical climatic information, climate change projections, and topo-bathymetric databases.
O.2 Coastal Archetype
To define and parameterize coastal archetypes susceptible to flooding events based on their geometry and flooding drivers.
O.3 Adaptation Measures
To identify and parameterize existing and potential adaptation measures through an optimization methodology based on cost-benefit analysis and climate change factors.
O4. Tools Suite
To develop a complete tools suite addressing coastal flooding analysis, from statistical techniques to hydrodynamic models and optimization methods.
O5. Modelling Strategies
To establish an inventory of flood modeling strategies with different approximation levels based on coastal archetypes, data quality, and computational resources.
O.6 Orchestrator Framework
To create an open-source orchestrator framework that enables researchers to leverage diverse computational infrastructures (HPC clusters, cloud) instead of relying solely on personal computers.
«Études nos ha ahorrado miles de horas de trabajo y ha desbloqueado perspectivas que nunca creímos posibles».
Annie Steiner
Director General, Greenprint
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