AGS-PRF: Constraining and Modeling the Contribution of Organic Nitrate to Fine Mode Particulate Matter

AGS-PRF：有机硝酸盐对精细模式颗粒物的贡献进行约束和建模

• 批准号: 2005593
• 负责人: Jessica Haskell
• 金额: $ 19万
• 依托单位: Haskins, Jessica Danielle
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2005593&HistoricalAwards=false
• 关键词: AGS; PRF; Constraining; Modeling; Contribution

Organic nitrate is a major contributor to fine particular matter (PM2.5) that affects Earth’s radiative balance, visibility, and environmental and human health. Atmospheric formation pathways of this particulate organic nitrate are ill-defined, however. In the current project, data collected during past field campaigns will be synthesized and analyzed to determine particulate organic and inorganic nitrate concentrations in PM2.5. This data will be used to constrain formation mechanisms in current atmospheric chemistry models which will help guide future research, improve predictive modeling of PM2.5, and inform nitrogen budget models.Data obtained with High-Resolution Time of Flight Aerosol Mass Spectrometers (HR-ToF-AMS) during 15 US field campaigns between 2009 and 2016 will be exploited for particulate organic and total nitrate. To test and validate mechanisms of organic and inorganic nitrate formation, temporally and spatially matched 3-D atmospheric chemistry transport (GEOS-Chem) model simulations will be performed and compared with observed concentrations. The new dataset will be made publicly available for use by other groups to guide future studies and help constrain regional and global models beyond the GEOS-Chem community. The PI will perform this work as a Postdoctoral Research Fellow at the Massachusetts Institute of Technology while engaging diverse undergraduate students in research.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.

有机硝酸盐是影响地球辐射平衡，可见性以及环境和人类健康的精细特定物质（PM2.5）的主要贡献者。但是，这种特殊有机硝酸盐的大气形成途径是不明的。在当前的项目中，将在PM2.5中合成和分析过去的现场活动中收集的数据，以确定特定的有机和无机硝酸盐浓度。该数据将用于限制当前大气化学模型中的形成机制，这些模型将有助于指导未来的研究，改善PM2.5的预测性建模，并为氮预算模型提供信息。在2009年和2016年之间15个美国领域活动中，以高分辨率飞行气溶胶质谱器（HR-TOF-AMS）获得了高分辨率的DATA，将在2009年和2016年之间进行特定的有机状态探索。为了测试和验证有机和无机硝酸盐形成的机制，将进行临时和空间匹配的3-D大气化学转运（GEOS-CHEM）模型模拟​​模拟，并将其与观察到的浓度进行比较。新数据集将被其他小组公开使用，以指导未来的研究，并帮助将区域和全球模型限制在Geos-Chem社区之外。 PI将在马萨诸塞州理工学院担任博士后研究员，同时吸引潜水员的本科生研究。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的评估标准来评估，认为NSF的法定任务是宝贵的。