Global and Regional Studies of Tropospheric Composition Using a Three-Dimensional (3-D) Model

该项目使用戈达德地球观测系统三维化学迁移模型来研究控制对流层臭氧的过程和对流层的某些有关微量成分，主要依靠卫星遥感、飞机和地面站的数据集来初始化、约束和评价模型。 高分辨率建模将具体侧重于对全球环境具有重要意义的某些痕量气体的过程和区域研究，重点是年际变化和区域源和汇的调查。 将与丹尼尔雅各布（哈佛大学）合作开展关于微量碳气体的工作。 亚洲地区及其对全球环境的影响将被调查，包括欧洲和美国的排放对亚洲空气质量的影响的一些新的考虑。 该项目将提供关于若干重要对流层痕量成分全球浓度场的重要最新信息，这对于预测未来浓度十分重要。 其结果将对全球各国，特别是那些经济迅速发展的国家的政策产生重要影响。 该奖项将为研究生和博士后学生提供教育机会。

This project uses the Goddard Earth Observing System (GEOS-CHEM) three-dimensional chemical-transport model to investigate processes controlling tropospheric ozone and selected related trace constituents of the troposphere, relying heavily on satellite remote-sensing, aircraft and surface station data sets to initialize, constrain and evaluate the model. The high-resolution modeling will focus specifically on process and regional studies of selected trace gases important to the global environment, placing emphasis on interannual variability and an investigation of regional sources and sinks. Work on trace carbon gases will be carried out in collaboration with Daniel Jacob (Harvard University). The Asian region and its effect on the global environment will be investigated, including the somewhat novel consideration of the influence of European and American emissions on Asian air quality. The project will provide important updated information on concentration fields globally of several important tropospheric trace constituents, important for projections of future concentrations. Results will have important policy-relevant implications within the global community of nations, especially those undergoing rapid economic development. This award will provide educational opportunities for graduate students and a post-doctoral student.