Pollution and Transport Chemistry over the Indian Ocean

PI将继续对亚洲和邻近海洋的污染进行观测和建模研究，这是他在1999年INDOEX现场阶段首次进行的。这项新的研究将为过去十年的气象和气溶胶历史提供一个数据库。该数据库将使用变分数据同化方法开发，其中将卫星和地面气象和气溶胶数据集纳入全球分析。数据同化的目的是捕捉一些细节的垂直分层的气溶胶从全球模拟风和大气状态是独立定义的。这项研究的一个主要组成部分将是使用全球模式的硫酸盐化学领域。在这里，模拟的组成部分包括数据同化，包括过程，如气相氧化，云中的水相氧化，降水云的湿去除，干和湿沉积。PI还建议参加国际气溶胶模型相互比较演习，其中几个主要的模拟小组将探讨污染对区域气候和环流异常的影响。这项研究很重要，因为气溶胶-辐射-云过程代表了一个知识空白，对未来人类引起的气候变化的不确定性负有主要责任。这项研究将丰富我们对这些过程的理解，从而帮助科学家开发更好的预测和预测气候模型。

The PI will continue observational and modeling research of pollution over Asia and neighboring oceans that he first conducted for the 1999 INDOEX field phase. The new research will provide a database for meteorological and aerosol histories covering the last decade. This database will be developed using variational data assimilation methodology, where satellite and surface based meteorological and aerosol data sets are incorporated in the global analysis. The data assimilation is designed to capture some details of vertical layering of aerosols from global modeling where the winds and atmospheric state are independently defined. A major component of this study will be in the area of sulfate chemistry using the global model. Here the components of the modeling include data assimilation, inclusion of processes such as gas phase oxidation, aqueous-phase oxidation in clouds, wet removal of precipitating clouds, dry and wet deposition. The PI also proposes to participate in an international aerosol model inter-comparison exercise where several major modeling groups will explore the impacts of pollution on regional climate and circulation anomalies. This research is important because aerosol-radiation-cloud processes represent a knowledge gap responsible for a major part of the uncertainty regarding future, human-induced climate change. This research will enrich our understanding of these processes and thus help scientists to develop improved climate models for prediction and projections.