A Synergic Algorithm for Retrieval of Aerosol Optical Depth over Land

GUO Jianping; XUE Yong; CAO Chunxiang; ZHANG Hao; GUANG Jie; ZHANG Xiaoye; LI Xiaowen

doi:10.1007/s00376-009-7218-4

Volume 26 Issue 5

Sep. 2009

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2009 > 26(5): 973-983

A Synergic Algorithm for Retrieval of Aerosol Optical Depth over Land

1.
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

1.
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

doi: 10.1007/s00376-009-7218-4

Abstract
References
Related papers
PDF

Abstract:
In this paper, a novel algorithm for aerosol optical depth(AOD) retrieval with a 1 km spatial resolution over land is presented using the Advanced Along Track Scanning Radiometer (AATSR) dual-view capability at 0.55, 0.66 and 0.87 um, in combination with the Bi-directional Reflectance Distribution Function (BRDF) model, a product of the Moderate Resolution Imaging Spectroradiometer (MODIS). The BRDF characteristics of the land surface, i.e. prior input parameters for this algorithm, are computed by extracting the geometrical information from AATSR and reducing the kernels from the MODIS BRDF/Albedo Model Parameters Product. Finally, AOD, with a 1 km resolution at 0.55, 0.66 and 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 Beijing and 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 developed in this paper are more favorable than those by assuming a Lambert surface, for the coefficient of determination between AATSR derived AOD and AERONET mearured AOD, decreased by 15.5% and 18.5%, compared to those derived by the synergic algorithm. This further suggests that the synergic algorithm can be potentially used in climate change and air quality monitoring.
- Advanced Along Track Scanning Radiometer,
- AOD,
- Bi-directional Reflectance Distribution Function,
- AERONET
References

[1]	Yunfei FU, Jiachen ZHU, Yuanjian YANG, Renmin YUAN, Guosheng LIU, Tao XIAN, Peng LIU, 2017: Grid-cell Aerosol Direct Shortwave Radiative Forcing Calculated Using the SBDART Model with MODIS and AERONET Observations: An Application in Winter and Summer in Eastern China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 952-964. doi: 10.1007/s00376-017-6226-z
[2]	Yongjing MA, Jinyuan XIN, Yining MA, Lingbin KONG, Kequan ZHANG, Wenyu ZHANG, Yuesi WANG, Xiuqin WANG, Yongfeng ZHU, 2017: Optical Properties and Source Analysis of Aerosols over a Desert Area in Dunhuang, Northwest China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1017-1026. doi: 10.1007/s00376-016-6224-6
[3]	Xuehua FAN, Xiang'ao XIA, Hongbin CHEN, 2018: Can MODIS Detect Trends in Aerosol Optical Depth over Land?, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 135-145. doi: 10.1007/s00376-017-7017-2
[4]	Jie ZHANG, Jinyuan Xin, Wenyu ZHANG, Shigong WANG, Lili WANG, Wei XIE, Guojie XIAO, Hela PAN, Lingbin KONG, 2017: Validation of MODIS C6 AOD Products Retrieved by the Dark Target Method in the Beijing-Tianjin-Hebei Urban Agglomeration, China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 993-1002. doi: 10.1007/s00376-016-6217-5
[5]	HUO Juan, LU Daren, 2010: Preliminary Retrieval of Aerosol Optical Depth from All-sky Images, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 421-426. doi: 10.1007/s00376-009-8216-2
[6]	YU Xingna, ZHU Bin, YIN Yan, FAN Shuxian, CHEN Aijun, 2011: Seasonal Variation of Columnar Aerosol Optical Properties in Yangtze River Delta in China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1326-1335. doi: 10.1007/s00376-011-0158-9
[7]	HU Yongyun, 2007: Probability Distribution Function of a Forced Passive Tracer in the Lower Stratosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 163-180. doi: 10.1007/s00376-007-0163-1
[8]	Mao Jietai, Luan Shengji, 1985: DERIVATION OF SCATTERING PHASE FUNCTION FROM CLEAR SKY BRIGHTNESS DISTRIBUTION, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 129-131. doi: 10.1007/BF03179745
[9]	YANG Shuai, GAO Shouting, LU Chungu, 2014: A Generalized Frontogenesis Function and Its Application, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1065-1078. doi: 10.1007/s00376-014-3228-y
[10]	Ye Weizuo, 1986: THE APPLICATION OF DELTA FUNCTION TO THE ALBEDO OF CLOUDS, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 245-251. doi: 10.1007/BF02682558
[11]	Zhao Conglong, J. B. Snider, D. C. Hogg, 1986: COMPUTER DEMODULATION TECHNIQUE FOR A DUAL-CHANNEL MICROWAVE RADIOMETER, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 189-198. doi: 10.1007/BF02682552
[12]	Andrei Filei, Aleksei Sorokin, Olga Girina, 2024: Retrieval of Volcanic Sulphate Aerosols Optical Parameters from AHI Radiometer Data, ADVANCES IN ATMOSPHERIC SCIENCES. doi: 10.1007/s00376-024-3105-2
[13]	Gao Shouting, 2000: The Instability of the Vortex Sheet along the Shear Line, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 525-537. doi: 10.1007/s00376-000-0016-7
[14]	Youmin TANG, Jaison AMBANDAN, Dake CHEN, , , 2014: Nonlinear Measurement Function in the Ensemble Kalman Filter, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 551-558. doi: 10.1007/s00376-013-3117-9
[15]	Cai Qiming, Kuo-Nan Liou, 1985: CALCULATION ON THE LIGHT SCATTERING FUNCTION OF HEXAGONAL ICE CRYSTALS, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 446-454. doi: 10.1007/BF02678743
[16]	Zeng Qingcun, Dai Yongjiu, Xue Feng, 1998: Simulation of the Asian Monsoon by IAP AGCM Coupled with an Advanced Land Surface Model (IAP94), ADVANCES IN ATMOSPHERIC SCIENCES, 15, 1-16. doi: 10.1007/s00376-998-0013-9
[17]	Qiu Jinhuan, Nobuo Takeuchi, 2001: Effects of Aerosol Vertical Inhomogeneity on the Upwelling Radiance and Satellite Remote Sensing of Surface Reflectance, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 539-553. doi: 10.1007/s00376-001-0043-z
[18]	Qiu Jinhuan, 1998: A Method for Spaceborne Synthetic Remote Sensing of Atmospheric Aerosol Optical Depth and Vegetation Reflectance, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 17-30. doi: 10.1007/s00376-998-0014-8
[19]	Wei Chong, Xue Yongkang, Zhu Xiaoming, Zou Shouxiang, 1984: DETERMINATION OF ATMOSPHERIC PRECIPITABLE WATER AND HUMIDITY PROFILES BY A GROUND-BASED 1.35 cm RADIOMETER, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 119-139. doi: 10.1007/BF03187623
[20]	Lin Hai, Xin Miaoxin, Wei Chong, Hao Yaokui, Zou Shouxiang, 1985: GROUND-BASED REMOTE SENSING OF LWC IN CLOUD AND RAINFALL BY A COMBINED DUAL-WAVELENGTH RADAR-RADIOMETER SYSTEM, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 93-103. doi: 10.1007/BF03179741