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Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/33862
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dc.contributor.authorAdnan, Mohammed Sarfaraz Gani-
dc.contributor.authorWhite, Christopher J-
dc.contributor.authorPerugini, Eleonora-
dc.contributor.authorJensen, Esther Hlíðar-
dc.contributor.authorBarnie, Talfan-
dc.contributor.authorCastillo, Natalia-
dc.contributor.authorArosio, Marcello-
dc.contributor.authorTubaldi, Enrico-
dc.contributor.authorRoberts, Matthew James-
dc.contributor.authorGaetani, Marco-
dc.contributor.authorCha, Younghwa-
dc.contributor.authorWeiland, Frederiek Sperna-
dc.contributor.authorMartinelli, Mario-
dc.contributor.authorDouglas, John-
dc.date.accessioned2026-09-12T08:31:44Z-
dc.date.available2026-09-12T08:31:44Z-
dc.date.issued2026-09-05-
dc.identifier.citationAdnan, M.S.G. et al. (2026) 'A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience', Climate Resilience and Sustainability, 5(2), e70063, pp. 1–16. doi: 10.1002/cli2.70063.en_US
dc.identifier.issn2692-4587-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33862-
dc.descriptionData Availability Statement All data used in this analysis are from publicly available sources. The surge height and river flow data for Oslo, Norway, were obtained from the Norwegian Centre for Climate Services (https://seklima.met.no/observations/). Coastal flood maps for Oslo were sourced from The Norwegian Water Resources and Energy Directorate (NVE) at https://temakart.nve.no/. Riverine flood maps for Oslo were extracted from the Aqueduct Floods Hazard Maps provided by the World Resources Institute https://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html. Extreme rainfall and landslide data for Múlaþing, Iceland, were obtained from the Icelandic Meteorological Office at https://en.vedur.is/. Modeled near-surface wind speed and rainfall data for Essex, UK, were acquired from EuroCORDEX-UK: Regional Climate Projections for the UK Domain https://catalogue.ceda.ac.uk/uuid/b109bd69e1af425aa0f661b01c40dc51/. Additionally, modeled temperature at 2 m and rainfall data for Nice, France, were sourced from EuroCORDEX: Regional Climate Simulations, Downscaled and Bias-Corrected Database, accessible at https://www.doi.org/10.24381/cds.9eed87d5. The MATLAB (MathWorks) toolbox, detectExtremeEvents, used for identifying joint extreme events, is available at the following GitHub repository: https://github.com/sarfarazadnan/detectExtremeEvents.git.en_US
dc.descriptionSupporting Information is available online at: https://rmets.onlinelibrary.wiley.com/doi/10.1002/cli2.70063#support-information-section .-
dc.description.abstractMulti‐hazard events generate impacts exceeding those of individual hazards but remain difficult to assess due to complex interactions. This study presents a generalized framework for analyzing four interaction types—multivariate, preconditioned and triggering, spatially, and temporally compounding events—across current and future climates. Combining extreme‐event detection, Bayesian copula modeling, and spatial analysis, the framework enables consistent multi‐hazard characterization beyond pairwise approaches. Applications to four European case studies reveal strong hazard dependencies and increased multi‐hazard occurrence under future climate scenarios.en_US
dc.description.sponsorshipNature-based Solutions to Mitigate Multi-hazard Risks in Coastal Megacities | Funder: Leverhulme Trust | Grant ID: ECF-2023-074; Italian Ministry of Education; Natural Environment Research Council. Grant Number: NE/W003775/1; HORIZON EUROPE European Research Council. Grant Numbers: 101074075, 101226137.en_US
dc.format.extentpp. 1–16-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherWiley on behalf of the Royal Meteorological Societyen_US
dc.rightsRe-use licence for this version: CC BY-
dc.rightsLicence for published version: CC BY-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectclimate changeen_US
dc.subjectEuropeen_US
dc.subjectextreme eventsen_US
dc.subjectjoint probabilityen_US
dc.subjectmulti-hazard interactionen_US
dc.titleA Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilienceen_US
dc.typeArticleen_US
dc.date.dateAccepted2026-08-24-
dc.identifier.doihttps://doi.org/10.1002/cli2.70063-
dc.relation.isPartOfClimate Resilience and Sustainability-
pubs.issue2-
pubs.publication-statusPublished-
pubs.volume5-
dc.identifier.eissn2692-4587-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2026-08-24-
dcterms.issued2026-09-05-
dc.date.updated2026-09-05T11:28:59Z-
dc.rights.holderThe Author(s)-
dc.contributor.orcidAdnan, Mohammed Sarfaraz Gani [0000-0002-7276-1891]-
dc.contributor.orcidWhite, Christopher J [0000-0003-1791-4784]-
dc.contributor.orcidPerugini, Eleonora [0000-0003-0054-8458]-
dc.contributor.orcidBarnie, Talfan [0000-0002-1862-8512]-
dc.contributor.orcidCastillo, Natalia [0000-0001-9858-2739]-
dc.contributor.orcidArosio, Marcello [0000-0002-4845-8905]-
dc.contributor.orcidTubaldi, Enrico [0000-0001-8565-8917]-
dc.contributor.orcidGaetani, Marco [0000-0003-2923-6773]-
dc.contributor.orcidCha, Younghwa [0000-0002-9677-3889]-
dc.contributor.orcidWeiland, Frederiek Sperna [0000-0002-6033-979X]-
dc.contributor.orcidMartinelli, Mario [0000-0002-6836-1844]-
dc.contributor.orcidDouglas, John [0000-0003-3822-0060]-
dc.identifier.numbere70063-
Appears in Collections:Department of Civil and Environmental Engineering Research Papers

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