European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models

Uncertainty in the return levels of insured loss from European wind storms was quantified using storms derived from twenty-two 25 km regional climate model runs driven by either the ERA40 reanalyses or one of four coupled atmosphere-ocean global climate models. Storms were identified using a model-d...

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Main Author: M. R. Haylock
Format: Article
Language:English
Published: Copernicus Publications 2011-10-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/11/2847/2011/nhess-11-2847-2011.pdf
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spelling doaj-dc65d3036310491d94611def1c6f89092020-11-24T22:27:19ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812011-10-0111102847285710.5194/nhess-11-2847-2011European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate modelsM. R. HaylockUncertainty in the return levels of insured loss from European wind storms was quantified using storms derived from twenty-two 25 km regional climate model runs driven by either the ERA40 reanalyses or one of four coupled atmosphere-ocean global climate models. Storms were identified using a model-dependent storm severity index based on daily maximum 10 m wind speed. The wind speed from each model was calibrated to a set of 7 km historical storm wind fields using the 70 storms with the highest severity index in the period 1961–2000, employing a two stage calibration methodology. First, the 25 km daily maximum wind speed was downscaled to the 7 km historical model grid using the 7 km surface roughness length and orography, also adopting an empirical gust parameterisation. Secondly, downscaled wind gusts were statistically scaled to the historical storms to match the geographically-dependent cumulative distribution function of wind gust speed. <br><br> The calibrated wind fields were run through an operational catastrophe reinsurance risk model to determine the return level of loss to a European population density-derived property portfolio. The risk model produced a 50-yr return level of loss of between 0.025% and 0.056% of the total insured value of the portfolio.http://www.nat-hazards-earth-syst-sci.net/11/2847/2011/nhess-11-2847-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. R. Haylock
spellingShingle M. R. Haylock
European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
Natural Hazards and Earth System Sciences
author_facet M. R. Haylock
author_sort M. R. Haylock
title European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
title_short European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
title_full European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
title_fullStr European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
title_full_unstemmed European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
title_sort european extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2011-10-01
description Uncertainty in the return levels of insured loss from European wind storms was quantified using storms derived from twenty-two 25 km regional climate model runs driven by either the ERA40 reanalyses or one of four coupled atmosphere-ocean global climate models. Storms were identified using a model-dependent storm severity index based on daily maximum 10 m wind speed. The wind speed from each model was calibrated to a set of 7 km historical storm wind fields using the 70 storms with the highest severity index in the period 1961–2000, employing a two stage calibration methodology. First, the 25 km daily maximum wind speed was downscaled to the 7 km historical model grid using the 7 km surface roughness length and orography, also adopting an empirical gust parameterisation. Secondly, downscaled wind gusts were statistically scaled to the historical storms to match the geographically-dependent cumulative distribution function of wind gust speed. <br><br> The calibrated wind fields were run through an operational catastrophe reinsurance risk model to determine the return level of loss to a European population density-derived property portfolio. The risk model produced a 50-yr return level of loss of between 0.025% and 0.056% of the total insured value of the portfolio.
url http://www.nat-hazards-earth-syst-sci.net/11/2847/2011/nhess-11-2847-2011.pdf
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