Retrieval of Atmospheric Aerosol Optical Depth with an Improved Algorithm Over East China Sea

Aerosol plays an important role in global climate change and environment depravation, which influences the earth radiation balance through direct forcing and indirect forcing. The uncertainty of aerosol in global climate prediction is one of the most important and difficult issue in the aerosol research field. With the development of earth observation satellites and their observated data, it's very important to improve the aerosol retrieval precision and the suitable algorithm. For the influence of the Asia continent, the remote sensing of aerosol distribution is complicated in this area. An iterative algorithm is presented in this study for simultaneous determination of the aerosol optical depth. Centered with the research of East China sea (especially over Bo and Yellow sea) aerosol optical depth distributing, our conclusion is listed as follows: With the MODIS data we implemented the aerosol retrieval with the improved algorithm and the AOD distribution over East China sea was analyzed. In total, there is the larger retrieval value over ocean due to the impact of the coastal turbid seawater and water leaving radiance, and as a result of lacking the imputing parameters in the area; there isn't the suitable arithmetic to improve the AOD retrieval quality yet.