CAREER: CAS-Climate: Climate Driven Risks to Urban Environment – Hybrid Modeling and Adaptation Strategies

职业：CAS-气候：气候驱动的城市环境风险 – 混合建模和适应策略

• 批准号: 2145362
• 负责人: Lei Zhao
• 金额: $ 51万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-02-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2145362&HistoricalAwards=false
• 关键词: CAREER; CAS; Climate; Driven; Risks

Current global-scale Earth systems research leaves critical gaps and barriers for urban areas, which leads to systematic deficiencies in understanding urban climate-driven risks and critical challenges for informing infrastructure system design and operation. This project will mitigate these barriers by advancing global urban science and engineering through addressing two overarching research questions: (i) how does large-scale climate change coupled with urbanization affect local urban climates? and (ii) how can this urban locale knowledge inform the associated risks to infrastructure systems and adaptation strategies? Outcomes from this project will: (i) advance the knowledge frontier of global urban climate change, impacts, and solutions; (ii) provide a global-scale multi-model characterization of local-scale urban climate change, variability, and uncertainty driven by urbanization coupled with greenhouse gas (GHG) warming; (iii) contribute to development of a new dynamic-urban Community Earth System Model (CESM), and (iv) build a new hybrid urban modeling framework to help forge new global urban science and engineering.This project aims to contribute to the new field of urban climate science and engineering through developing a new hybrid modeling framework that combines process-based modeling and deep learning approaches. The project will advance the knowledge frontier in climate-driven risks to built environments and adaptation strategies. Objectives of the research are to (i) robustly characterize urban climate change, variability, and uncertainty under greenhouse gas (GHG) warming coupled with urbanization, (ii) establish a pathway to inform infrastructure system design and operation using robust urban projections, and (iii) establish a methodology to evaluate and devise adaptation solutions on large scales. Research efforts will be integrated with an educational plan designed to (i) motive, engage and inspire young minds and the public to address critical urban challenges and (ii) forge convergent education in urban climate science and engineering to foster students’ creativity. An online, interactive Global Urban Climate Risks Map webtool will be developed and publicly released. Hands-on sessions and demos will be designed and showcased every year at UIUC summer programs to engage K-12 students, especially female and underrepresented students. A new inter-departmental seminar series and new course materials will be developed and implemented.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

目前全球范围的地球系统研究为城市地区留下了关键的差距和障碍，导致在了解城市气候驱动的风险方面存在系统性缺陷，并为基础设施系统设计和运营提供信息。该项目将通过解决两个首要研究问题来推进全球城市科学和工程，从而缓解这些障碍：（i）大规模气候变化与城市化如何影响当地城市气候？以及（ii）这种城市场所知识如何告知基础设施系统和适应战略的相关风险？该项目的成果将：（一）推进全球城市气候变化、影响和解决方案的知识前沿;（二）提供一个全球尺度的多模式表征，说明城市化与温室气体变暖共同驱动的地方尺度城市气候变化、可变性和不确定性;（三）协助开发一个新的动态城市社区地球系统模型，和（四）建立一个新的混合城市模型框架，以帮助建立新的全球城市科学和工程。该项目旨在为城市的新领域做出贡献。气候科学和工程通过开发一个新的混合建模框架，结合基于过程的建模和深度学习方法。该项目将推进建筑环境气候驱动风险和适应战略的知识前沿。该研究的目标是（一）强有力地描述城市气候变化，变异性和温室气体（GHG）变暖与城市化的不确定性，（二）建立一个途径，通知基础设施系统的设计和运行使用强大的城市预测，（三）建立一种方法来评估和制定大规模的适应解决方案。研究工作将与一项教育计划相结合，该计划旨在：（i）激励、吸引和激励年轻人和公众应对关键的城市挑战;（ii）在城市气候科学和工程方面建立融合教育，以培养学生的创造力。将开发并公开发布一个在线互动式全球城市气候风险地图网络工具。动手课程和演示将设计和展示每年在UIUC暑期课程，以吸引K-12学生，特别是女性和代表性不足的学生。一个新的跨部门研讨会系列和新的课程材料将开发和实施。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。