气候模式
城市气候
气候变化
稳健性(进化)
全球变暖
环境科学
地理
城市规划
中国
城市热岛
气候学
环境资源管理
气象学
地质学
生态学
生物化学
化学
考古
基因
生物
海洋学
作者
Lei Zhao,Keith W. Oleson,Elie Bou‐Zeid,E. Scott Krayenhoff,Andrew Bray,Qing Zhu,Zhonghua Zheng,Chen Chen,Michael Oppenheimer
标识
DOI:10.1038/s41558-020-00958-8
摘要
Effective urban planning for climate-driven risks relies on robust climate projections specific to built landscapes. Such projections are absent because of a near-universal lack of urban representation in global-scale Earth system models. Here, we combine climate modelling and data-driven approaches to provide global multi-model projections of urban climates over the twenty-first century. The results demonstrate the inter-model robustness of specific levels of urban warming over certain regions under climate change. Under a high-emissions scenario, cities in the United States, Middle East, northern Central Asia, northeastern China and inland South America and Africa are estimated to experience substantial warming of more than 4 K—larger than regional warming—by the end of the century, with high inter-model confidence. Our findings highlight the critical need for multi-model global projections of local urban climates for climate-sensitive development and support green infrastructure intervention as an effective means of reducing urban heat stress on large scales. An urban climate model emulator has been used with a multi-model archive to estimate that in a high-emissions scenario, many cities will warm by over 4 K during local summers. Near-global relative humidity decreases highlight the potential for green infrastructure and more efficient urban cooling mechanisms.
科研通智能强力驱动
Strongly Powered by AbleSci AI