Preprints
https://doi.org/10.5194/egusphere-2023-2799
https://doi.org/10.5194/egusphere-2023-2799
19 Dec 2023
 | 19 Dec 2023

GC Insights: Open R-code to communicate the impact of co-occurring natural hazards

John Hillier, Adrian Champion, Tom Perkins, Freya Garry, and Hannah Bloomfield

Abstract. Hydro-meteorological hazard is often estimated by university-based scientists 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 open R-code that deploys a metric (i.e., correlation coefficient r) obtainable from scientific research, 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 risk at an annual 1-in-200 year level of wet and windy weather in the UK co-occurring rather than being independent, and the approach can be applied to other multi-hazards and compound events in various sectors (e.g. road, rail, telecommunications).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
John Hillier, Adrian Champion, Tom Perkins, Freya Garry, and Hannah Bloomfield

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2799', Anonymous Referee #1, 05 Feb 2024
  • RC2: 'Comment on egusphere-2023-2799', Anonymous Referee #2, 29 May 2024
    • AC1: 'Reply to RC2', John K. Hillier, 20 Jun 2024
John Hillier, Adrian Champion, Tom Perkins, Freya Garry, and Hannah Bloomfield
John Hillier, Adrian Champion, Tom Perkins, Freya Garry, and Hannah Bloomfield

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Short summary
To allow more effective use of climate science this work proposes and evaluates open R-code that deploys a measure of how natural hazards (e.g. extreme wind, flooding) co-occur, obtainable from scientific research, that is usable in practice without restricted data (climate or risk) being exposed. The approach can be applied to hazards in various sectors (e.g. road, rail, telecommunications).