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Global multi-model projections of local urban climates
Nature Climate Change ( IF 29.6 ) Pub Date : 2021-01-04 , DOI: 10.1038/s41558-020-00958-8
Lei Zhao , Keith Oleson , Elie Bou-Zeid , E. Scott Krayenhoff , Andrew Bray , Qing Zhu , Zhonghua Zheng , Chen Chen , Michael Oppenheimer

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.

更新日期:2021-01-04
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