A synergic algorithm for retrieval of aerosol optical depth over land |
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| Authors: | Jianping Guo Yong Xue Chunxiang Cao Hao Zhang Jie Guang Xiaoye Zhang Xiaowen Li |
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| Affiliation: | Centre for Atmosphere Watch and Services, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P. O. Box 9718, Beijing 100101,State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications,Chinese Academy of Sciences, P. O. Box 9718, Beijing 100101, Department of Computing, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK,State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P. O. Box 9718, Beijing 100101,State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P. O. Box zipcode{9718}, Beijing 100101,State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, P. O. Box 9718, Beijing 100101, Graduate University, Chinese Academy of Sciences, Beijing 100049,Centre for Atmosphere Watch and Services, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081,State Key Laboratory of Remote Sensing Sciences, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications,Chinese Academy of Sciences, P. O. Box 9718, Beijing 100101 |
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| Abstract: | In this paper, a novel algorithm for aerosol optical depth(AOD) retrieval with a 1 km spatial resolutionover land is presented using the Advanced Along Track Scanning Radiometer (AATSR) dual-view capability at 0.55, 0.66and 0.87 um, in combination with the Bi-directional Reflectance Distribution Function (BRDF) model, a product ofthe Moderate Resolution Imaging Spectroradiometer (MODIS). The BRDF characteristics of the land surface, i.e. priorinput parameters for this algorithm, are computed by extracting the geometrical information from AATSR and reducingthe kernels from the MODIS BRDF/Albedo Model Parameters Product. Finally, AOD, with a 1 km resolution at 0.55, 0.66and 0.87 um for the forward and nadir views of AATSR, can be simultaneously obtained.Extensive validations of AOD derived from AATSR during the period from August 2005 to July 2006 in Beijingand its surrounding area, against in-situ AErosol RObotic NETwork (AERONET) measurements, were performed.The AOD difference between the retrievals from the forward and nadir views of AATSR was less than 5.72%, 1.9%and 13.7%, respectively. Meanwhile, it was found that the AATSR retrievals using the synergic algorithm developedin this paper are more favorable than those by assuming a Lambert surface, for the coefficient of determinationbetween AATSR derived AOD and AERONET mearured AOD, decreased by 15.5% and 18.5%, compared to those derived bythe synergic algorithm. This further suggests that the synergic algorithm can be potentially used in climatechange and air quality monitoring. |
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| Keywords: | Advanced Along Track Scanning Radiometer AOD Bi-directional Reflectance Distribution Function AERONET |
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