REU Site: A Residential Research Experience for Undergraduates in Atmospheric Chemistry and Meteorology

该项目得到了本科生研究经验（REU）计划的支持。它旨在为本科生提供一个独特的机会，在教师的指导下参与现场测量，教师是大气科学家（化学家，物理学家和气象学家）的一部分。为期8周的研究经验发生在夏季测量密集，在此期间，学生与密歇根大学生物站（UMBS）的其他学生和教师一起居住，并在通过氧化剂研究计划建造的采样塔和实验室工作：光化学，排放和运输（PROPHET）。学生协助仪器和入口采样系统的集成，并进行现场测量的气体和颗粒相化学物质的混合比和/或通量和气象参数。每个学生都接受培训，使他们能够负责测量一种或多种化学物质或气象参数，或应用模型生成反向轨迹或化学物质分布。除了亲自动手，深入接触他们的具体测量或建模技术，他们获得了相关的测量和建模活动的整体理解，并对自己和同行的努力实现科学团队的研究目标的重要性的赞赏。MI团队成员住在UMBS，共享膳食，并参加每周的数据会议，以评估发现和测量策略

This project is supported under the Research Experience for Undergraduates (REU) Program. It is designed to provide undergraduates with a unique opportunity to participate in field measurements under the direction of faculty who are part of a teem of atmospheric scientists (chemists, physicists and meteorologists). The 8-week research experience takes place coincident with summer measurement intensives during which students live in-residence with other students and faculty at the University of Michigan Biological Station (UMBS) and work at the sampling tower and laboratory constructed through the Program for Research on Oxidants: PHotochemistry, Emissions and Transport (PROPHET). Students assist with the integration of instruments and inlet sampling systems and conduct on-site measurements of gas- and particulate-phase chemical species mixing ratios and/or fluxes and meteorological parameters. Each student is provided with training that allows them to take responsibility for the measurement of one or more chemical species or meteorological parameters or for the application of models to generate back trajectories or chemical species distributions. In addition to their hands-on, in-depth exposure to their specific measurement or modeling technique, they gain an overall understanding of related measurements and modeling activities and an appreciation for the significance of their own and their peers' efforts towards the achievement of the science team's research objectives. Ml team members live at the UMBS, share meals, and attend weekly data meetings to evaluate findings and measurement strategies