CAREER: Air Quality Impacts of Dynamic Forest-Atmosphere-Chemistry Interactions

这个CAREER项目将调查来自森林的活性微量气体源和汇的自然和人为引起的年际变化如何影响整个北美的空气质量。将结合观测和模式来评估生物圈年际变率对大气化学和空气质量的作用。本研究有四个目标：(1)在气象学和物候学的驱动下，表征模拟生物源反应性微量气体源/汇的年际变化及其对美国空气质量的影响；(2)开发时变土地覆盖输入，可用于模拟美国近期历史土地利用/土地覆盖变化对大气化学和空气质量的影响；(3)确定森林与大气化学之间不断变化的相互作用如何改变美国人为排放同时变化对空气质量的影响；(4)识别大气化学成分地面和卫星观测的重要格局，并将其归因于生物圈的时空变异。教育和推广计划的重点是扩大大气化学的科学数据素养。该奖项反映了美国国家科学基金会的法定使命，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。

This CAREER project will investigate how natural and human-caused interannual variability in the sources and sinks of reactive trace gases from forests influence air quality across North America. Observations and models will be combined to assess the role of interannual variability in the biosphere on atmospheric chemistry and air quality. This research has four objectives: (1) Characterize interannual variability in simulated biogenic reactive trace gas sources/sinks and their impacts on air quality in the US, driven by meteorology and phenology; (2) Develop time-varying land cover inputs that can be used to simulate the impacts of recent historical land use/land cover changes on atmospheric chemistry and air quality in the US.; (3) Determine how changing interactions between forests and atmospheric chemistry modify the impacts of concurrent changes in anthropogenic emissions on air quality in the US.; and (4) Identify and attribute important patterns in ground- and satellite-based observations of atmospheric chemical composition to spatiotemporal variability in the biosphere. The education and outreach plan is focused on expanding science data literacy in atmospheric chemistry.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.