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The hazard component is based on a 100-year rainfall event (36 mm/h), modeled using a hydrodynamic flood simulation that accounts for topography, drainage capacity, and land use. Exposure differentiates between mobility-related risks and well-being-related risks, while social vulnerability is quantified using socioeconomic indicators such as age, income, and education status.The results highlight risk hotspots where social vulnerability and flood exposure overlap, providing decision-makers with valuable insights for targeted interventions. The study reveals that social vulnerability does not correlate directly with flood hazard, emphasizing the complexity of urban flood risk. This underscores the need for a holistic approach to risk assessment, integrating climate science, infrastructure planning, and social policies to enhance urban resilience. The methodology developed in this study is transferable to other urban areas, making it a valuable tool for climate adaptation planning and risk-informed decision-making. https://dx.doi.org/10.2139/ssrn.5231006 http://schema.org/license https://choosealicense.com/no-permission/ https://dx.doi.org/10.2139/ssrn.5231006 http://schema.org/name Urban Pluvial Flood Risk Mapping: A High-Resolution Assessment for the City of Hamburg https://dx.doi.org/10.2139/ssrn.5231006 http://schema.org/sdDatePublished 2025-06-30 14:51:09.115938+00:00 https://dx.doi.org/10.2139/ssrn.5231006 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://dx.doi.org/10.2139/ssrn.5231006 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://dx.doi.org/10.2139/ssrn.5231006 http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#Preprint https://orcid.org/0000-0002-1784-2920 http://schema.org/affiliation Simula Research Laboratory https://orcid.org/0000-0002-1784-2920 http://schema.org/email annef@simula.no https://orcid.org/0000-0002-1784-2920 http://schema.org/name Anne Fouilloux https://orcid.org/0000-0002-1784-2920 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://orcid.org/0000-0002-1784-2920 https://w3id.org/dingo#orcid 0000-0002-1784-2920 https://orcid.org/0000-0003-2195-3997 http://schema.org/email barbara@gofair.foundation https://orcid.org/0000-0003-2195-3997 http://schema.org/name Barbara Magagna https://orcid.org/0000-0003-2195-3997 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://ror.org/00k4n6c32::101188256 http://schema.org/funder http://w3id.org/ro-id/rohub/model#funder/c18d676b-0bb2-40ba-8464-e7536c6dc412 https://ror.org/00k4n6c32::101188256 http://schema.org/identifier 00k4n6c32::101188256 https://ror.org/00k4n6c32::101188256 http://schema.org/name FAIR to Adapt to Climate Change https://ror.org/00k4n6c32::101188256 http://schema.org/title FAIR to Adapt to Climate Change https://ror.org/00k4n6c32::101188256 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Grant https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/contentUrl https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/dateCreated 2025-06-30 20:04:36.938114+00:00 https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/dateModified 2025-10-14 08:32:43.719979+00:00 https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/description FAIR Implementation Profile (FIP)for the case study 3 and the software developed to create Risk Map for the Hamburg city area. https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/license https://creativecommons.org/licenses/by/4.0/legalcode https://w3id.org/np/RAK3KIGPtDb9iV_j1HTp9YSpFSarZv6fPj3bJq6LBpNyI http://schema.org/name Case Study 3 - 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At the organisational level, the interaction between administration and public companies is crucial for implementing adaptation strategies and consideration of the interactions between the various actors and sectors of the urban system, which is a prerequisite for sustainable adaptation planning. In addition, adaptation and mitigation must be weighed against each other to assess trade-offs and avoid incompatibilities (e.g., urban densification versus adaptation to climate-induced stressors), requiring tailored state-of-the-art climate and adaptation scenarios (e.g., Representative Concentration Pathways RCPs and Shared Socioeconomic Pathways SSPs). Adaptation at the city scale requires very fine-scaled (high-resolution) data. Granulated data on exposure and vulnerability of urban sectors, infrastructure and population as well as data on climate-induced stressors is managed by different city authorities under the Hamburg City Senate, and not always publicly available. Understanding climate risks and barriers to adaptation at urban scale requires a concerted effort across city authorities for data curation and sharing. Data related to climate-induced stressors are often not updated or do not utilise European or global data portals (e.g. Copernicus). So far 572 datasets (e.g., on green spaces, city trees, population data, infrastructure data, building characteristics, soil properties, noise levels, air pollution, weather station data) from different sources or authorities is gathered in a data portal (Geoportal Hamburg), containing metadata and maps in pdf format. Hamburg’s adaptation portals are referenced in Climate-ADAPT but only in terms of qualitative information. ## FAIR2Adapt Contribution FAIRification of available data to enable a more transparent, user-friendly and up-to-date data portal for adaptation decision-making. 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