A Particle-Resolved Aerosol Model of Soot Aging

烟灰老化的粒子分辨气溶胶模型

• 批准号: 0739404
• 负责人: Nicole Riemer
• 金额: $ 49.21万
• 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: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0739404&HistoricalAwards=false
• 关键词: Particle; Resolved; Aerosol; Model; Soot

The objective of this project is to develop a new, highly detailed aerosol model and use it to study the aging of soot in the atmosphere. This particle resolved model (PartMC) will explicitly resolve and track the size and composition of individual particles as they undergo transformations by coagulation and condensation in the atmosphere. The model spreads the aerosol size distribution over a finite number of Monte Carlo particles and allows them to evolve using the appropriate probabilities for coagulation, along with deterministic processes such as condensation. Freshly emitted particles or particles formed via homogeneous nucleation are initially externally mixed, but can be transferred into an internal mixture by coagulation, condensation or photochemical processes, collectively known as aging. This work will improve the theoretical understanding of aerosol mixing state representations, quantify errors resulting from parameterizations of aging in regional and global models, and help to develop better models and parameterizations of aerosol aging.An improved understanding of aerosol processes through this research will help to reduce uncertainties in climate models. Undergraduates will be integrated into the project and the participation of women and minorities in research will be actively encouraged. All computer codes will be licensed under an open source license to foster use by the atmospheric science community.

该项目的目标是开发一种新的、高度详细的气溶胶模型，并用它来研究大气中煤烟的老化。这个粒子分辨模型(PartMC)将显式地解析和跟踪单个粒子在大气中通过凝聚和凝结发生转变时的大小和组成。该模型将气溶胶尺寸分布分布在有限数量的蒙特卡罗粒子上，并允许它们使用适当的凝结概率以及凝结等确定性过程进行演化。新排放的颗粒或通过均匀成核形成的颗粒最初在外部混合，但可以通过凝聚、冷凝或光化学过程转移到内部混合物中，统称为老化。这项工作将提高对气溶胶混合态表示的理论理解，量化区域和全球模式中因老化的参数化而产生的误差，并有助于开发更好的气溶胶老化模式和参数。通过本研究对气溶胶过程的更好理解将有助于减少气候模式中的不确定性。本科生将被纳入该项目，并将积极鼓励妇女和少数民族参与研究。所有计算机代码将在开放源码许可下获得许可，以促进大气科学界的使用。