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Remote Sens. 2017, 9(7), 687;

Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT

Department of Atmospheric Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Meteorological Observation Laboratory, Weather Information Service Engine, Hankuk University of Foreign Studies, Yongin-si, Gyeonggi-do 17035, Korea
Harvard Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD 20771, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
Global Environment System Research Division, National Institute of Meteorological Sciences, Korea Meteorological Administration, Jeju 63568, Korea
Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba 305-8505, Japan
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba 305-8505, Japan
Author to whom correspondence should be addressed.
Received: 19 April 2017 / Revised: 23 June 2017 / Accepted: 26 June 2017 / Published: 5 July 2017
(This article belongs to the Section Atmosphere Remote Sensing)
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The presence of aerosol has resulted in serious limitations in the data coverage and large uncertainties in retrieving carbon dioxide (CO2) amounts from satellite measurements. For this reason, an aerosol retrieval algorithm was developed for the Thermal and Near-infrared Sensor for carbon Observation-Cloud and Aerosol Imager (TANSO-CAI) launched in January 2009 on board the Greenhouse Gases Observing Satellite (GOSAT). The algorithm retrieves aerosol optical depth (AOD), aerosol size information, and aerosol type in 0.1° grid resolution by look-up tables constructed using inversion products from Aerosol Robotic NETwork (AERONET) sun-photometer observation over Northeast Asia as a priori information. To improve the accuracy of the TANSO-CAI aerosol algorithm, we consider both seasonal and annual estimated radiometric degradation factors of TANSO-CAI in this study. Surface reflectance is determined by the same 23-path composite method of Rayleigh and gas corrected reflectance to avoid the stripes of each band. To distinguish aerosol absorptivity, reflectance difference test between ultraviolet (band 1) and visible (band 2) wavelengths depending on AODs was used. To remove clouds in aerosol retrieval, the normalized difference vegetation index and ratio of reflectance between band 2 (0.674 μm) and band 3 (0.870 μm) threshold tests have been applied. To mask turbid water over ocean, a threshold test for the estimated surface reflectance at band 2 was also introduced. The TANSO-CAI aerosol algorithm provides aerosol properties such as AOD, size information and aerosol types from June 2009 to December 2013 in this study. Here, we focused on the algorithm improvement for AOD retrievals and their validation in this study. The retrieved AODs were compared with those from AERONET and the Aqua/MODerate resolution Imaging Sensor (MODIS) Collection 6 Level 2 dataset over land and ocean. Comparisons of AODs between AERONET and TANSO-CAI over Northeast Asia showed good agreement with correlation coefficient (R) 0.739 ± 0.046, root mean square error (RMSE) 0.232 ± 0.047, and linear regression line slope 0.960 ± 0.083 for the entire period. Over ocean, the comparisons between Aqua/MODIS and TANSO-CAI for the same period over Northeast Asia showed improved consistency, with correlation coefficient 0.830 ± 0.047, RMSE 0.140 ± 0.019, and linear regression line slope 1.226 ± 0.063 for the entire period. Over land, however, the comparisons between Aqua/MODIS and TANSO-CAI show relatively lower correlation (approximate R = 0.67, RMSE = 0.40, slope = 0.77) than those over ocean. In order to improve accuracy in retrieving CO2 amounts, the retrieved aerosol properties in this study have been provided as input for CO2 retrieval with GOSAT TANSO-Fourier Transform Spectrometer measurements. View Full-Text
Keywords: AOD retrieval; GOSAT TANSO-CAI; reflectance difference method; radiometric degradation correction AOD retrieval; GOSAT TANSO-CAI; reflectance difference method; radiometric degradation correction

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Lee, S.; Kim, M.; Choi, M.; Go, S.; Kim, J.; Kim, J.-H.; Lim, H.-K.; Jeong, U.; Goo, T.-Y.; Kuze, A.; Shiomi, K.; Tatsuya, Y. Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT. Remote Sens. 2017, 9, 687.

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