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Lookup NU author(s): Dr Hannah BloomfieldORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Hydro-meteorological hazard is often estimated by academic and public sector researchers using publicly funded climate models, whilst the ensuing risk quantification uses proprietary insurance sector models, which can inhibit the effective translation of risk-related environmental science into modified practice or policy. For co-occurring hazards, this work proposes as an interim solution an open-access R code that deploys a metric (i.e. inter-hazard correlation coefficient, r) obtainable from scientific research that is usable in practice without restricted data (climate or risk) being exposed. This tool is evaluated for a worked example that estimates the impact on joint financial risk at an annual 1-in-200-year level of wet and windy weather in the UK co-occurring rather than being independent, but the approach can be applied to other multi-hazards in various sectors (e.g. road, rail and telecommunications) now or in future climates.
Author(s): Hillier J, Champion A, Perkins T, Garry F, Bloomfield HC
Publication type: Article
Publication status: Published
Journal: Geoscience Communication
Year: 2024
Volume: 7
Pages: 195-200
Online publication date: 30/08/2024
Acceptance date: 31/07/2024
Date deposited: 29/10/2024
ISSN (print): 2569-7439
ISSN (electronic): 2569-7110
Publisher: European Geophyiscal Union
URL: https://doi.org/10.5194/gc-7-195-2024
DOI: 10.5194/gc-7-195-2024
Data Access Statement: The R code used is openly available and is in the Supplement to this article along with guidance and a worked example with idealised data. Data from the proprietary insurance sector models used are not available.
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