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CLARITY Climate Service Promoting Urban Climate Change Resilience through the Modelling of Climate Adaptation Strategies
Worldwide, climate services are emerging as an essential tool to connect the advances in climate science with the domains of climate change adaptation. The modelling methodology developed within the CLARITY project (EU-Horizon 2020, www.clarity-h2020.eu) is aimed at implementing a new generation of climate services specifically designed to assess adaptation measures at the city level under the effects of extreme weather events in the context of climate change. These effects are assessed based on observations combined with Intergovernmental Panel on Climate Change climate projections, and the subsequent derivation of climate indices to address changes in climate extremes. The dynamical-statistical downscaling of regional climate model results is used to obtain this information on fine spatial scales (100 m), hence providing urban microclimate projections and enabling climate sensitivity simulations of adaptation measures on the urban scale. The climate adaptation strategies encompass, among others, green roofs, increasing roof albedo, as well as blue (water) and green (parks, trees) infrastructure changes. Here, the climate assessment methodology developed within CLARITY will be discussed in detail, and results will be shown for the city of Linz (Austria). In addition, the usage of these methods and results within the CLARITY climate service as well as the connection to urban climate change resilience will be highlighted.
CLARITY Climate Service Promoting Urban Climate Change Resilience through the Modelling of Climate Adaptation Strategies
Worldwide, climate services are emerging as an essential tool to connect the advances in climate science with the domains of climate change adaptation. The modelling methodology developed within the CLARITY project (EU-Horizon 2020, www.clarity-h2020.eu) is aimed at implementing a new generation of climate services specifically designed to assess adaptation measures at the city level under the effects of extreme weather events in the context of climate change. These effects are assessed based on observations combined with Intergovernmental Panel on Climate Change climate projections, and the subsequent derivation of climate indices to address changes in climate extremes. The dynamical-statistical downscaling of regional climate model results is used to obtain this information on fine spatial scales (100 m), hence providing urban microclimate projections and enabling climate sensitivity simulations of adaptation measures on the urban scale. The climate adaptation strategies encompass, among others, green roofs, increasing roof albedo, as well as blue (water) and green (parks, trees) infrastructure changes. Here, the climate assessment methodology developed within CLARITY will be discussed in detail, and results will be shown for the city of Linz (Austria). In addition, the usage of these methods and results within the CLARITY climate service as well as the connection to urban climate change resilience will be highlighted.
CLARITY Climate Service Promoting Urban Climate Change Resilience through the Modelling of Climate Adaptation Strategies
de Wit, Rosmarie (author) / Kainz, Astrid (author) / Zuvela-Aloise, Maja (author) / Goler, Robert (author)
2019-02-05
Conference paper
Electronic Resource
English
DDC:
710
Exploring urban climate change adaptation measures with CLARITY's climate service
BASE | 2019
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