Global Budgets of Atmospheric Trace Gases: A Three-dimensional (3-D) Model Analysis

将进行三维建模研究，以便更好地了解几种重要的大气痕量气体的全球收支情况。具体而言，该项目将重点关注含氧有机物（甲醇，乙醛，丙醛和丙酮），甲基卤化物（氯甲烷和溴甲烷）和燃烧产生的含碳气体（氰化氢，乙炔，乙烷和一氧化碳）。将使用正向和反向建模的组合。将根据源和汇的最佳先验估计值进行的前向模型模拟与观测到的浓度和种-种相关性进行比较。为此目的，将使用来自各种实地计划的机载数据。适当时将使用逆分析，以更好地量化单个源项的幅度和相应的误差。关于痕量碳气体的工作将与Jennifer Logan（哈佛大学）合作进行，并将使用来自全球红外吸收测量和船舶航行网络的数据。进一步了解上述气体在大气中的收支情况，将对理解全球大气化学和更广泛的地球化学循环问题产生重要和普遍的影响。该奖项将为研究生和博士后学生提供教育机会。

Three-dimensional (3-D) modeling studies will be carried out aimed at an improved understanding of the global budgets of several important atmospheric trace gases. Specifically, the project will focus on oxygenated organics (methanol, acetaldehyde, propanal, and acetone), methyl halides (methyl chloride and bromide), and carbon-containing gases from combustion (hydrogen cyanide, acetylene, ethane, and carbon monoxide). A combination of forward and inverse modeling will be used. Forward model simulations based on best a priori estimates of sources and sinks will be compared to both observed concentrations and species-species correlations. Airborne data from various field programs will be used for this purpose. Inverse analysis will be used when appropriate to better quantify the magnitudes of individual source terms and corresponding errors. The work on trace carbon gases will be carried out in collaboration with Jennifer Logan (Harvard University), and will use data from a worldwide network of IR absorption measurements and ship cruises. Improved knowledge of the atmospheric budgets of the above gases will have important and general implications for the understanding of global atmospheric chemistry and broader problems of biogeochemical cycling. This award will provide educational opportunities for graduate students and a post-doctoral student.