Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2

<p>In light of the dramatic increase in economic impacts due to wildfires over recent years, the need for globally consistent impact modelling of wildfire damages is ever increasing. Insurance companies, individual households, humanitarian organizations, governmental authorities, and investors...

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Main Authors: S. Lüthi, G. Aznar-Siguan, C. Fairless, D. N. Bresch
Format: Article
Language:English
Published: Copernicus Publications 2021-11-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/14/7175/2021/gmd-14-7175-2021.pdf
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author S. Lüthi
S. Lüthi
G. Aznar-Siguan
C. Fairless
D. N. Bresch
D. N. Bresch
author_facet S. Lüthi
S. Lüthi
G. Aznar-Siguan
C. Fairless
D. N. Bresch
D. N. Bresch
author_sort S. Lüthi
collection DOAJ
description <p>In light of the dramatic increase in economic impacts due to wildfires over recent years, the need for globally consistent impact modelling of wildfire damages is ever increasing. Insurance companies, individual households, humanitarian organizations, governmental authorities, and investors and portfolio owners are increasingly required to account for climate-related physical risks. In response to these societal challenges, we present an extension to the open-source and open-access risk modelling platform CLIMADA (CLImate ADAptation) for modelling economic impacts of wildfires in a globally consistent and spatially explicit approach. All input data are free, public and globally available, ensuring applicability in data-scarce regions of the Global South. The model was calibrated at resolutions of 1, 4 and 10 km using information on past wildfire damage reported by the disaster database EM-DAT. Despite the large remaining uncertainties, the model yields sound damage estimates with a model performance well in line with the results of other natural catastrophe impact models, such as for tropical cyclones. To complement the global perspective of this study, we conducted two case studies on the recent megafires in Chile (2017) and Australia (2020). The model is made available online as part of a Python package, ready for application in practical contexts such as disaster risk assessment, near-real-time impact estimates or physical climate risk disclosure.</p>
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spelling doaj.art-9c363fa5977c4081ae60005a1a4b28242022-12-21T23:39:07ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032021-11-01147175718710.5194/gmd-14-7175-2021Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2S. Lüthi0S. Lüthi1G. Aznar-Siguan2C. Fairless3D. N. Bresch4D. N. Bresch5Institute for Environmental Decisions, ETH Zürich, 8092 Zürich, SwitzerlandFederal Office of Meteorology and Climatology MeteoSwiss, 8058 Zürich Airport, SwitzerlandFederal Office of Meteorology and Climatology MeteoSwiss, 8058 Zürich Airport, SwitzerlandInstitute for Environmental Decisions, ETH Zürich, 8092 Zürich, SwitzerlandInstitute for Environmental Decisions, ETH Zürich, 8092 Zürich, SwitzerlandFederal Office of Meteorology and Climatology MeteoSwiss, 8058 Zürich Airport, Switzerland<p>In light of the dramatic increase in economic impacts due to wildfires over recent years, the need for globally consistent impact modelling of wildfire damages is ever increasing. Insurance companies, individual households, humanitarian organizations, governmental authorities, and investors and portfolio owners are increasingly required to account for climate-related physical risks. In response to these societal challenges, we present an extension to the open-source and open-access risk modelling platform CLIMADA (CLImate ADAptation) for modelling economic impacts of wildfires in a globally consistent and spatially explicit approach. All input data are free, public and globally available, ensuring applicability in data-scarce regions of the Global South. The model was calibrated at resolutions of 1, 4 and 10 km using information on past wildfire damage reported by the disaster database EM-DAT. Despite the large remaining uncertainties, the model yields sound damage estimates with a model performance well in line with the results of other natural catastrophe impact models, such as for tropical cyclones. To complement the global perspective of this study, we conducted two case studies on the recent megafires in Chile (2017) and Australia (2020). The model is made available online as part of a Python package, ready for application in practical contexts such as disaster risk assessment, near-real-time impact estimates or physical climate risk disclosure.</p>https://gmd.copernicus.org/articles/14/7175/2021/gmd-14-7175-2021.pdf
spellingShingle S. Lüthi
S. Lüthi
G. Aznar-Siguan
C. Fairless
D. N. Bresch
D. N. Bresch
Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2
Geoscientific Model Development
title Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2
title_full Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2
title_fullStr Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2
title_full_unstemmed Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2
title_short Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2
title_sort globally consistent assessment of economic impacts of wildfires in climada v2 2
url https://gmd.copernicus.org/articles/14/7175/2021/gmd-14-7175-2021.pdf
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