Explore how the new Coastal Flood Risk Analysis service within IRISCC and D4Science enables rapid modeling of storm surges, sea-level rise, and adaptation options using integrated cloud workflows.
About the webinar
Coastal flooding causes tens of billions of dollars in damage annually, with climate change aggravating risks through sea-level rise and changing storm patterns. Assessing these risks traditionally requires time-consuming specialist work to connect meteorological conditions to water levels, inundation, and socio-economic impacts.
This webinar introduces a scalable Coastal Flood Risk Analysis service built within the IRISCC and D4Science Virtual Research Environments. By integrating open-source hazard, inundation, and impact models (D-HYDRO, SFINCS, and FIAT) into interactive Jupyter and Solara workflows, the service allows users to build, run, and compare future climate and adaptation scenarios without needing local computational infrastructure.
Combining climate forcing data from ECMWF (including ERA5) with Copernicus, EMODnet, and OpenStreetMap datasets, the service provides a transferable solution for flood exposure modeling, infrastructure planning, and resilience strategy.
What Will Be Covered
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How open-source hazard, inundation, and impact models are linked within a shared cloud environment
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Creating and comparing flood scenarios using global API data sources or custom user data
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Real-world applications for coastal adaptation planning, using case studies like the Humber Estuary
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Utilizing open Python-based tools (HydroMT) and standard formats (NetCDF, Zarr) for reusable research
Who Should Attend
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Researchers assessing coastal flood risks and climate impacts
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Engineering firms designing coastal adaptation measures
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Risk managers and consultants in insurance, finance, and infrastructure planning
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Public-sector adaptation planners and emergency preparedness teams
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PhD/MSc students and early-career scientists