A Framework for Quantifying Diverse Multi‐Hazard Interactions to Enhance Climate Resilience
ABSTRACT Multi‐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.
Authors
- Marcello Arosio (ORCID: https://orcid.org/0000-0002-4845-8905)
- Frederiek Sperna Weiland (ORCID: https://orcid.org/0000-0002-6033-979X)
- Esther Hlíðar Jensen
- Enrico Tubaldi (ORCID: https://orcid.org/0000-0001-8565-8917)
- Talfan Barnie (ORCID: https://orcid.org/0000-0002-1862-8512)
- YoungHwa Cha (ORCID: https://orcid.org/0000-0002-9677-3889)
- Mario Martinelli (ORCID: https://orcid.org/0000-0002-6836-1844)
- Mohammed Sarfaraz Gani Adnan (ORCID: https://orcid.org/0000-0002-7276-1891)
- Eleonora Perugini (ORCID: https://orcid.org/0000-0003-0054-8458)
- Marco Gaetani (ORCID: https://orcid.org/0000-0003-2923-6773)
- John Douglas (ORCID: https://orcid.org/0000-0003-3822-0060)
- Natalia Castillo (ORCID: https://orcid.org/0000-0001-9858-2739)
- Christopher J. White (ORCID: https://orcid.org/0000-0003-1791-4784)
- Matthew James Roberts
Institutions
- University of London (GB)
- University of Strathclyde (GB)
- University of Trento (IT)
- Icelandic Meteorological Office (IS)
- Istituto Universitario di Studi Superiori di Pavia (IT)
- Heriot-Watt University (GB)
- Deltares (NL)
- Istituto Sperimentale per la Zootecnia (IT)
- 21c Consultancy (United Kingdom) (GB)
- Brunel University of London (GB)
Publication Details
- Journal
- Climate Resilience and Sustainability
- Published
- 2026-09-05
- DOI
- https://doi.org/10.1002/cli2.70063
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Leverhulme Trust