Large-eddy simulation (LES) models, such as the PALM modeling system in this study, are actively used for urban micro-climate modeling. We consider urban LES in a broader context as a mature high-resolution model for integrated urban services (IUS), which is an initiative of the World Meteorological Organization that provides a modeling component for urban decision-support systems. A decision-support system requires iterations of quantitative information from knowledge providers and qualitative expert assessments from communities of practice. We present two pilot PALM-aided IUS from the “Turbulent-resolving urban modeling of air quality and thermal comfort” (TURBAN) project. One pilot has its focus on an air quality service contributing to a decision-support system of the port of Bergen, Norway. Another pilot contributes to air quality and thermal comfort services in the city of Prague, Czech Republic. Co-production sessions with stakeholders identified critical enablers for urban LES in IUS. We present integration and interpretation of the modeling information within the decision-making process with a “storylines and simulations” (SAS) approach based on a web-based geoinformation system (WebGIS).

中文翻译：

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城市规模的湍流解决模型作为综合城市服务的基本要素


大涡模拟（LES）模型，例如本研究中的 PALM 建模系统，被积极用于城市微气候建模。我们在更广泛的背景下将城市 LES 视为成熟的高分辨率综合城市服务 (IUS) 模型，这是世界气象组织的一项倡议，为城市决策支持系统提供建模组件。决策支持系统需要来自知识提供者的定量信息和来自实践社区的定性专家评估的迭代。我们展示了“空气质量和热舒适度的湍流解析城市模型”(TURBAN) 项目中的两个试点 PALM 辅助 IUS。一名试点项目的重点是空气质量服务，为挪威卑尔根港的决策支持系统做出贡献。另一位试点项目为捷克共和国布拉格市的空气质量和热舒适服务做出了贡献。与利益相关者的联合制作会议确定了 IUS 中城市 LES 的关键推动因素。我们通过基于网络的地理信息系统 (WebGIS) 的“故事情节和模拟”(SAS) 方法，在决策过程中对建模信息进行集成和解释。