Aerosol optical depth retrieval over land using FY-3A data and its application in dust monitoring

Linlu Mei; Yong Xue; Jie Guang; Yingjie Li; Ying Wang; Hui Xu; Xingwei He; Shuzhen Jiang; Xijuan Jiao; Ziqiang Chen; Jianwen Ai

doi:10.1117/12.910398

15 August 2011 Aerosol optical depth retrieval over land using FY-3A data and its application in dust monitoring

Linlu Mei, Yong Xue, Jie Guang, Yingjie Li, Ying Wang, Hui Xu, Xingwei He, Shuzhen Jiang, Xijuan Jiao, Ziqiang Chen, Jianwen Ai

Author Affiliations +

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030L (2011) https://doi.org/10.1117/12.910398
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

Abstract

The accuracy of aerosol optical depth (AOD) products from polar-orbit satellites such as FengYun-3A (FY3A) is limited, especially over land because it is hard to discriminate the contribution of the observed signal reflected by the surface from the one scattered and absorbed by the aerosols over bright surface. In this paper, an approach by exploiting the synergy of FengYun-3A (FY-3A) and Moderate Resolution Imaging Spectroradiometer (MODIS) data were presented. The derived AOD compared to Aerosol Robotic Network (AERONET) observation and retrieval absolute error around 0.1 is found, with R² of 0.77. Moreover, a dust episode was presented in Mongolia on late March, 2010.; By using HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) mode as well as the meteorological parameters, we analyzed the advection and dispersion of this event, its transport effect for the episode and its influence. Our data demonstrated that AOD increased up to 2.0 during the burning phase and then returned to normal values (0.2- 0.5), and the aerosol properties various, including both the AOD and aerosol type or source, which has a vertical distribution difference, fully in line with transport process. This method should be wildly used on FY series satellite.

Citation Download Citation

Linlu Mei, Yong Xue, Jie Guang, Yingjie Li, Ying Wang, Hui Xu, Xingwei He, Shuzhen Jiang, Xijuan Jiao, Ziqiang Chen, and Jianwen Ai "Aerosol optical depth retrieval over land using FY-3A data and its application in dust monitoring", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030L (15 August 2011); https://doi.org/10.1117/12.910398

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