CLIMADA v1: a global weather and climate risk assessment platform

<p>The need for assessing the risk of extreme weather events is ever increasing. In addition to quantification of risk today, the role of aggravating factors such as high population growth and changing climate conditions matters, too. We present the open-source software CLIMADA (CLIMate ADApta...

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Main Authors: G. Aznar-Siguan, D. N. Bresch
Format: Article
Language:English
Published: Copernicus Publications 2019-07-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/12/3085/2019/gmd-12-3085-2019.pdf
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spelling doaj-42d05576436949f69a38d0b04a9f3b7c2020-11-25T01:52:32ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032019-07-01123085309710.5194/gmd-12-3085-2019CLIMADA v1: a global weather and climate risk assessment platformG. Aznar-Siguan0G. Aznar-Siguan1D. N. Bresch2D. N. Bresch3Institute for Environmental Decisions, ETH Zurich, Zurich, SwitzerlandFederal Office of Meteorology and Climatology MeteoSwiss, Zurich, SwitzerlandInstitute for Environmental Decisions, ETH Zurich, Zurich, SwitzerlandFederal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland<p>The need for assessing the risk of extreme weather events is ever increasing. In addition to quantification of risk today, the role of aggravating factors such as high population growth and changing climate conditions matters, too. We present the open-source software CLIMADA (CLIMate ADAptation), which integrates hazard, exposure, and vulnerability to compute the necessary metrics to assess risk and to quantify socio-economic impact. The software design is modular and object oriented, offering a simple collaborative framework and a parallelization strategy which allows for scalable computations on clusters. CLIMADA supports multi-hazard calculations and provides an event-based probabilistic approach that is globally consistent for a wide range of resolutions, suitable for whole-country to detailed local studies. This paper uses the platform to estimate and contextualize the damage of hurricane Irma in the Caribbean in 2017. Most of the affected islands are non-sovereign countries and also rely on overseas support in case disaster strikes. The risk assessment performed for this region, based on remotely available data available shortly before or hours after landfall of Irma, proves to be close to reported damage and hence demonstrates a method to provide readily available impact estimates and associated uncertainties in real time.</p>https://www.geosci-model-dev.net/12/3085/2019/gmd-12-3085-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Aznar-Siguan
G. Aznar-Siguan
D. N. Bresch
D. N. Bresch
spellingShingle G. Aznar-Siguan
G. Aznar-Siguan
D. N. Bresch
D. N. Bresch
CLIMADA v1: a global weather and climate risk assessment platform
Geoscientific Model Development
author_facet G. Aznar-Siguan
G. Aznar-Siguan
D. N. Bresch
D. N. Bresch
author_sort G. Aznar-Siguan
title CLIMADA v1: a global weather and climate risk assessment platform
title_short CLIMADA v1: a global weather and climate risk assessment platform
title_full CLIMADA v1: a global weather and climate risk assessment platform
title_fullStr CLIMADA v1: a global weather and climate risk assessment platform
title_full_unstemmed CLIMADA v1: a global weather and climate risk assessment platform
title_sort climada v1: a global weather and climate risk assessment platform
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2019-07-01
description <p>The need for assessing the risk of extreme weather events is ever increasing. In addition to quantification of risk today, the role of aggravating factors such as high population growth and changing climate conditions matters, too. We present the open-source software CLIMADA (CLIMate ADAptation), which integrates hazard, exposure, and vulnerability to compute the necessary metrics to assess risk and to quantify socio-economic impact. The software design is modular and object oriented, offering a simple collaborative framework and a parallelization strategy which allows for scalable computations on clusters. CLIMADA supports multi-hazard calculations and provides an event-based probabilistic approach that is globally consistent for a wide range of resolutions, suitable for whole-country to detailed local studies. This paper uses the platform to estimate and contextualize the damage of hurricane Irma in the Caribbean in 2017. Most of the affected islands are non-sovereign countries and also rely on overseas support in case disaster strikes. The risk assessment performed for this region, based on remotely available data available shortly before or hours after landfall of Irma, proves to be close to reported damage and hence demonstrates a method to provide readily available impact estimates and associated uncertainties in real time.</p>
url https://www.geosci-model-dev.net/12/3085/2019/gmd-12-3085-2019.pdf
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