High-quality climate information tailored to cities' needs assists decision makers to prepare for and adapt to climate change impacts, as well as to support the targeted transition towards climate resilient cities. During the last decades, two main modelling approaches emerged to understand and analyse the urban climate and to generate information. Firstly, meso- and microscale urban climate models commonly resolve the street to city scale climate (1 m to 1 km) through simulating short “weather” type episodes, possibly under climate change conditions. Secondly, regional climate models (RCMs) are currently approaching the kilometer scale grid resolutions (1–4 km) and becoming increasingly relevant to understand the interactions of cities with the regional climate on timescales from decades up to a century. Therefore, the WCRP CORDEX Flagship Pilot Study “URBan environments and Regional Climate Change (FPS URB-RCC)” brings together the urban climate modelling community and the RCM community and focuses on understanding the interactions between urban areas and regional climate change, with the help of coordinated experiments with an RCM ensemble having refined urban representations. This paper presents the FPS URB-RCC, its main aims, as well as the initial steps taken. The FPS URB-RCC advances urban climate projections and information to support evidence-based climate action towards climate resilient cities.

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为了更好地了解城市环境及其与区域气候变化的相互作用 - WCRP CORDEX 旗舰试点研究 URB-RCC


根据城市需求量身定制的高质量气候信息有助于决策者准备和适应气候变化的影响，并支持有针对性地向气候适应型城市过渡。在过去的几十年里，出现了两种主要的建模方法，用于理解和分析城市气候以及生成信息。首先，中尺度和微观尺度的城市气候模型通常通过模拟短暂的“天气”类型事件来解决街道到城市尺度的气候（1 m 到 1 km），可能是在气候变化条件下。其次，区域气候模型 （RCM） 目前正接近公里尺度的网格分辨率（1-4 公里），并且与理解城市与区域气候在几十年到一个世纪的时间尺度上的相互作用越来越重要。因此，WCRP CORDEX 旗舰试点研究“URBan 环境和区域气候变化 （FPS URB-RCC）”将城市气候建模社区和 RCM 社区聚集在一起，并专注于了解城市地区与区域气候变化之间的相互作用，借助具有精细城市表示的 RCM 集合进行协调实验。本文介绍了 FPS URB-RCC、其主要目标以及所采取的初始步骤。FPS URB-RCC 推进城市气候预测和信息，以支持基于证据的气候行动，以实现气候适应型城市。