Modeling Heterogeneous Chemistry

多相化学建模

• 批准号: 9705578
• 负责人: Dean Hegg
• 金额: $ 7.6万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-08-15 至 2000-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9705578&HistoricalAwards=false
• 关键词: Modeling; Heterogeneous; Chemistry

9705578 Hegg The main objective of this project is to include a parameterization of heterogeneous droplet chemistry into meteorological models, in particular MM5, and possibly EURAD. This parameterization will be in the form of a linear operator applied to a standard bulk parameterization of cloud chemistry. The modified Eulerian model will be tested against observations for a reasonably complete case study from the literature. Then a set of sensitivity studies will be conducted to address four specific issues: 1) To what extent does heterogeneous cloud chemistry impact chemical deposition? 2) Over what spatial and temporal scales is this heterogeneous chemistry important? 3) How does the phase partitioning of water in the clouds quantitatively affect the impact of heterogeneous chemistry? 4) Are there geographic locations or emissions/climate scenarios where heterogeneous chemistry is likely to have a particularly large impact? This effort will lead to an improved understanding of chemical and physical processes occurring in clouds.

小行星9705578 该项目的主要目标是将异质液滴化学的参数化纳入气象模型，特别是MM 5，可能还有EURAD。 这种参数化将以线性算子的形式应用于云化学的标准批量参数化。 修改后的欧拉模型将进行测试，从文献中的一个合理的完整的案例研究的意见。然后将进行一系列敏感性研究，以解决四个具体问题：1）异质云化学在多大程度上影响化学沉积？2)在什么样的空间和时间尺度上，这种异质化学是重要的？3)云中水的相分配如何定量地影响非均相化学的影响？4)是否存在多相化学可能产生特别大影响的地理位置或排放/气候情景？ 这一努力将导致对云中发生的化学和物理过程的更好理解。