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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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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