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

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.

[1]  Nadine Gobron,et al.  Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land , 2005 .

[2]  R. Draxler An Overview of the HYSPLIT_4 Modelling System for Trajectories, Dispersion, and Deposition , 1998 .

[3]  W. V. Hoyningen-Huene,et al.  Retrieval of aerosol optical thickness over land surfaces from top‐of‐atmosphere radiance , 2003 .

[4]  Yong Xue,et al.  Operational bi-angle approach to retrieve the Earth surface albedo from AVHRR data in the visible band , 1995 .

[5]  R. J. Flowerdew,et al.  An approximation to improve accuracy in the derivation of surface reflectances from multi‐look satellite radiometers , 1995 .

[6]  D. Tanré,et al.  ALGORITHM FOR REMOTE SENSING OF TROPOSPHERIC AEROSOL FROM MODIS , 1998 .

[7]  Anders Ångström,et al.  On the Atmospheric Transmission of Sun Radiation and on Dust in the Air , 1929 .

[8]  Sang Woo Kim,et al.  Aerosol optical, chemical and physical properties at Gosan, Korea during Asian dust and pollution episodes in 2001 , 2005 .

[9]  Lorraine Remer,et al.  The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..

[10]  K. Badarinath,et al.  Satellite observations of unusual dust event over North-East India and its relation with meteorological conditions , 2009 .

[11]  Ying Wang,et al.  A retrieval algorithm for aerosol optical depth from MODIS multi-spatial scale data based on mutual information , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[12]  F. Maignan,et al.  Remote sensing of aerosols over land surfaces from POLDER‐ADEOS‐1 polarized measurements , 2001 .

[13]  Michael D. King,et al.  Aerosol properties over bright-reflecting source regions , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[14]  A. Stohl Computation, accuracy and applications of trajectories—A review and bibliography , 1998 .