Damage functions for climate-related hazards: unification and uncertainty analysis

Most climate change impacts manifest in the form of natural hazards. Damage assessment typically relies on damage functions that translate the magnitude of extreme events to a quantifiable damage. In practice, the availability of damage functions is limited due to a lack of data sources and a lack o...

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Main Authors: B. F. Prahl, D. Rybski, M. Boettle, J. P. Kropp
Format: Article
Language:English
Published: Copernicus Publications 2016-05-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/16/1189/2016/nhess-16-1189-2016.pdf
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spelling doaj-974923b73ffd4601ad4622fb4883be532020-11-24T20:44:49ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812016-05-011651189120310.5194/nhess-16-1189-2016Damage functions for climate-related hazards: unification and uncertainty analysisB. F. Prahl0D. Rybski1M. Boettle2J. P. Kropp3Potsdam Institute for Climate Impact Research (PIK), Potsdam, GermanyPotsdam Institute for Climate Impact Research (PIK), Potsdam, GermanyPotsdam Institute for Climate Impact Research (PIK), Potsdam, GermanyPotsdam Institute for Climate Impact Research (PIK), Potsdam, GermanyMost climate change impacts manifest in the form of natural hazards. Damage assessment typically relies on damage functions that translate the magnitude of extreme events to a quantifiable damage. In practice, the availability of damage functions is limited due to a lack of data sources and a lack of understanding of damage processes. The study of the characteristics of damage functions for different hazards could strengthen the theoretical foundation of damage functions and support their development and validation. Accordingly, we investigate analogies of damage functions for coastal flooding and for wind storms and identify a unified approach. This approach has general applicability for granular portfolios and may also be applied, for example, to heat-related mortality. Moreover, the unification enables the transfer of methodology between hazards and a consistent treatment of uncertainty. This is demonstrated by a sensitivity analysis on the basis of two simple case studies (for coastal flood and storm damage). The analysis reveals the relevance of the various uncertainty sources at varying hazard magnitude and on both the microscale and the macroscale level. Main findings are the dominance of uncertainty from the hazard magnitude and the persistent behaviour of intrinsic uncertainties on both scale levels. Our results shed light on the general role of uncertainties and provide useful insight for the application of the unified approach.http://www.nat-hazards-earth-syst-sci.net/16/1189/2016/nhess-16-1189-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author B. F. Prahl
D. Rybski
M. Boettle
J. P. Kropp
spellingShingle B. F. Prahl
D. Rybski
M. Boettle
J. P. Kropp
Damage functions for climate-related hazards: unification and uncertainty analysis
Natural Hazards and Earth System Sciences
author_facet B. F. Prahl
D. Rybski
M. Boettle
J. P. Kropp
author_sort B. F. Prahl
title Damage functions for climate-related hazards: unification and uncertainty analysis
title_short Damage functions for climate-related hazards: unification and uncertainty analysis
title_full Damage functions for climate-related hazards: unification and uncertainty analysis
title_fullStr Damage functions for climate-related hazards: unification and uncertainty analysis
title_full_unstemmed Damage functions for climate-related hazards: unification and uncertainty analysis
title_sort damage functions for climate-related hazards: unification and uncertainty analysis
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2016-05-01
description Most climate change impacts manifest in the form of natural hazards. Damage assessment typically relies on damage functions that translate the magnitude of extreme events to a quantifiable damage. In practice, the availability of damage functions is limited due to a lack of data sources and a lack of understanding of damage processes. The study of the characteristics of damage functions for different hazards could strengthen the theoretical foundation of damage functions and support their development and validation. Accordingly, we investigate analogies of damage functions for coastal flooding and for wind storms and identify a unified approach. This approach has general applicability for granular portfolios and may also be applied, for example, to heat-related mortality. Moreover, the unification enables the transfer of methodology between hazards and a consistent treatment of uncertainty. This is demonstrated by a sensitivity analysis on the basis of two simple case studies (for coastal flood and storm damage). The analysis reveals the relevance of the various uncertainty sources at varying hazard magnitude and on both the microscale and the macroscale level. Main findings are the dominance of uncertainty from the hazard magnitude and the persistent behaviour of intrinsic uncertainties on both scale levels. Our results shed light on the general role of uncertainties and provide useful insight for the application of the unified approach.
url http://www.nat-hazards-earth-syst-sci.net/16/1189/2016/nhess-16-1189-2016.pdf
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