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Supporting climate proof planning with CLARITY's climate service and modelling of climate adaptation strategies – the Linz use-case
Urban Climate ( IF 6.4 ) Pub Date : 2020-08-07 , DOI: 10.1016/j.uclim.2020.100675
Rosmarie de Wit , Astrid Kainz , Robert Goler , Maja Žuvela-Aloise , Claudia Hahn , Giulio Zuccaro , Mattia Leone , Wolfgang Loibl , Tanja Tötzer , Wilfried Hager , Andrea Geyer-Scholz , Denis Havlik

In recent years, the representation of climate information in a way to support decision making has been gaining momentum. Worldwide, these so-called climate services are emerging as an essential tool to connect the advances in climate science with the domains of climate change adaptation. The methodology developed within the CLARITY project (funded through European Union funding program Horizon 2020) 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 as well as 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 scale 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 changes in soil sealing. Here, the climate assessment methodology developed within CLARITY will be discussed in detail, and results for the city of Linz (Austria) presented. 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.



中文翻译:

通过CLARITY的气候服务支持气候证明计划,并为气候适应策略建模–林茨用例

近年来,以支持决策的方式来表示气候信息的势头越来越大。在全球范围内,这些所谓的气候服务正在成为将气候科学的进步与气候变化适应领域联系起来的必不可少的工具。在CLARITY项目中开发的方法(由欧盟资助计划Horizo​​n 2020资助)旨在实施新一代气候服务,专门设计用于评估在气候变化背景下极端天气事件影响下的城市一级的适应措施。根据观察结果和气候预测以及随后得出的气候指数以应对极端气候变化来评估这些影响。区域气候模型结果的动态统计缩减可用于在精细的空间尺度(100 m)上获得此信息,从而提供城市尺度的预测,并能够模拟城市尺度上的适应措施的气候敏感性。除其他外,气候适应策略包括屋顶绿化,屋顶反照率增加以及土壤密封性的变化。在这里,将详细讨论CLARITY内部开发的气候评估方法,并介绍林茨市(奥地利)的结果。此外,还将强调在CLARITY气候服务中使用这些方法和结果以及与城市气候变化适应力的联系。因此,可以提供城市规模的预测,并能够模拟城市规模上的适应措施的气候敏感性。除其他外,气候适应策略包括屋顶绿化,屋顶反照率增加以及土壤密封性的变化。在这里,将详细讨论CLARITY内部开发的气候评估方法,并介绍林茨市(奥地利)的结果。此外,还将强调在CLARITY气候服务中使用这些方法和结果以及与城市气候变化适应力的联系。因此,可以提供城市规模的预测,并能够模拟城市规模上的适应措施的气候敏感性。除其他外,气候适应策略包括屋顶绿化,屋顶反照率增加以及土壤密封性的变化。在这里,将详细讨论CLARITY内部开发的气候评估方法,并介绍林茨市(奥地利)的结果。此外,还将强调在CLARITY气候服务中使用这些方法和结果以及与城市气候变化适应力的联系。并展示了林茨市(奥地利)的结果。此外,还将强调在CLARITY气候服务中使用这些方法和结果以及与城市气候变化适应力的联系。并展示了林茨市(奥地利)的结果。此外,还将强调在CLARITY气候服务中使用这些方法和结果以及与城市气候变化适应力的联系。

更新日期:2020-08-07
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