globalchange  > 影响、适应和脆弱性
项目编号: 1345250
项目名称:
Improving Secondary Organic Aerosol (SOA) Models by Comparison to Chamber and Ambient Data and by Uncertainty and Sensitivity Analysis
作者: William Brune
承担单位: Pennsylvania State Univ University Park
批准年: 2013
开始日期: 2014-07-01
结束日期: 2018-06-30
资助金额: USD361790
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Geosciences - Atmospheric and Geospace Sciences
英文关键词: comparison ; soa ; soa formation ; model ; inter-comparison ; different soa model ; aerosol mass ; soa precursor ; climate model ; model result ; explicit gas-phase inorganic chemistry ; aerosol study ; ambient field datum ; model-measurement difference ; ambient air ; influential model configuration ; rigorous uncertainty analysis ; secondary organic aerosol ; environmental chamber ; comprehensive sensitivity analysis ; model performance ; potential aerosol mass
英文摘要: This project will evaluate and compare models that predict the formation of secondary organic aerosol (SOA) in ambient air. SOA are formed in the atmosphere when gas-phase compounds, emitted from human activities and from plants, oxidize and condense into very small particles. These small particles may affect climate, air quality, and atmospheric visibility. Improved modeling of SOA formation will lead to improvements in air quality and climate models.

This research has three primary objectives: (1) to conduct inter-comparisons of different SOA models and test them against atmospheric relevant laboratory measurements and atmospheric measurements; (2) to do a rigorous uncertainty analysis of the models so that the significance of model-measurement differences can be understood; and (3) to perform a comprehensive sensitivity analysis to explore the influential model configurations and/or parameters for the model results of interest, such as aerosol mass and oxygen to carbon ratio. measurements. Several chemical mechanisms of SOA formation will be considered, including an explicit gas-phase inorganic chemistry and the reactions with the SOA precursors, continuous oxidation, gas-to-particle partitioning, and heterogeneous and condensed-phase reactions. Model performance will be evaluated by comparisons with laboratory measurements from the Potential Aerosol Mass (PAM) chambers at both Boston College and the environmental chamber at the California Institute of Technology, and by comparisons with ambient field data collected during the Southern Oxidant & Aerosol Study (SOAS), at a site located in a heavily forested area in Centreville, AL during June and July in 2013.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/96531
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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Recommended Citation:
William Brune. Improving Secondary Organic Aerosol (SOA) Models by Comparison to Chamber and Ambient Data and by Uncertainty and Sensitivity Analysis. 2013-01-01.
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