The impacts of climate change are intensifying existing vulnerabilities and disparities within urban communities around the globe, as extreme weather events, including floods and heatwaves, are becoming more frequent and severe, disproportionately affecting low-income and underrepresented groups. Tackling these increasing challenges requires novel approaches that integrate expertise across multiple domains, including computer science, engineering, climate science, and public health. Urban computing can play a pivotal role in these efforts by integrating data from multiple sources to support decision-making and provide actionable insights into weather patterns, infrastructure weaknesses, and population vulnerabilities. However, the capacity to leverage technological advancements varies significantly between the Global South and Global North. In this paper, we present two multiyear, multidisciplinary projects situated in Chicago, USA and Niter\'oi, Brazil, highlighting the opportunities and limitations of urban computing in these diverse contexts. Reflecting on our experiences, we then discuss the essential requirements, as well as existing gaps, for visual analytics tools that facilitate the understanding and mitigation of climate-related risks in urban environments.

翻译：气候变化的影响正在加剧全球城市社区中既有的脆弱性与不平等。洪水与热浪等极端天气事件日益频繁和严重，对低收入及弱势群体造成了不成比例的影响。应对这些日益严峻的挑战需要融合计算机科学、工程学、气候科学与公共卫生等多领域专业知识的新方法。城市计算通过整合多源数据以支持决策，并为天气模式、基础设施薄弱环节及人口脆弱性提供可操作的见解，可在这些努力中发挥关键作用。然而，全球南方与全球北方在利用技术进步的能力上存在显著差异。本文介绍了分别位于美国芝加哥和巴西尼泰罗伊的两项多年期、多学科研究项目，重点阐述了城市计算在这些不同背景下的机遇与局限。基于我们的实践经验，我们进一步讨论了促进城市环境中气候相关风险理解与缓解的可视化分析工具所必需的要求以及当前存在的不足。