Regional near-surface total column ozone inversion based on MODIS

As so far, studies based on remote sensing to explore ozone column concentration keep a watchful eye on the stratosphere or troposphere, while few focus on the near-surface, though it directly correlative to human health. In this paper, the regional near-surface total column ozone was inversed based on the moderate-resolution imaging spectroradiometer (MODIS) for its extraordinary spatial resolution. First, the statistical synthetic regression algorithm was utilized to retrieve the first guess. A nonlinear physical iterative method was then employed to acquire final ozone profiles. Finally, after creating a unique database, the ozone column concentration was obtained by using the multivariable linear regression model. Compared with the measurements of ground monitoring sites, the retrieval results were over 95% accurate and its distribution consists with the actual situation. The method proposed in this paper can be applied to monitor air pollution.