MCA: In Flux: The Role of Dynamic Urban Greenspace in Energy, Water and Carbon Cycling

城市地区居住着全球一半以上的人口，并展示了气候与人类活动之间的强大协同作用。在城市地区，人类对地表的改变尤其明显，并从地方到区域尺度影响气候学。由于地表能量、水和碳收支的重大变化，城市化导致当地和区域气候发生重大变化。该研究项目的成果旨在提高对城市地区绿色空间如何影响能源、水和碳动态的理解，这将为适应和减轻城市化对环境的负面影响的新兴和不断发展的方法提供信息。这项工作的成果将为通过战略性利用城市植被有意改变近地表气候的努力提供信息。此外，一支受过城市地区独特科学和管理培训的劳动力队伍越来越重要。为本科生提供综合研究和学习机会是本项目的优先事项，特别是对妇女和代表性不足的群体。本项目探讨了城市生态水文学中出现的问题和假设，使用当地观测，涡度协方差网络，遥感数据和建模方法的迭代和综合组合，以评估动态城市绿地在能源，水和碳循环中的作用。在地面实地工作中调查的小规模过程将利用建模方法和遥感产品与大规模过程联系起来。这些研究活动将使人们更好地了解陆地表面-大气相互作用的控制以及它们如何影响更大规模的反馈。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Urban areas are home to more than half the global population and showcase powerful synergies between climate and human activity. In urban areas, modification of the land surface by humans is especially evident and impacts climatology from local to regional scales. Urbanization causes significant changes to local and regional climate due to major modifications of surface energy, water, and carbon budgets. The outcomes of this research project aim to improve understanding of how greenspace in urban areas impacts energy, water, and carbon dynamics, which will inform emerging and evolving approaches to adapt to and mitigate the negative environmental impacts of urbanization. The outcomes of this work will inform efforts to intentionally modify near-surface climates through the strategic use of urban vegetation. Furthermore, a workforce that is trained in the unique science and management of urban areas is increasingly important. Providing integrated research and learning opportunities for undergraduate students is a priority of this project, especially for women and underrepresented groups.This project explores emergent questions and hypotheses in urban ecohydrology using an iterative and integrated combination of local observations, eddy covariance networks, remote sensing data and modeling approaches to assess the role of dynamic urban greenspace in energy, water and carbon cycling. Small scale processes investigated in ground-based field efforts will be linked with large scale processes using modeling approaches and remote sensing products. These research activities will provide a better understanding of the controls on land surface-atmosphere interactions and how they influence larger scale feedbacks.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.