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ACP | Articles | Volume 19, issue 12
Atmos. Chem. Phys., 19, 8243–8268, 2019
https://doi.org/10.5194/acp-19-8243-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 8243–8268, 2019
https://doi.org/10.5194/acp-19-8243-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 26 Jun 2019

Research article | 26 Jun 2019

Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China

Ning Liu et al.

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Cited articles

Ångström, A.: On the Atmospheric Transmission of Sun Radiation and on Dust in the Air, Geogr. Ann., 12, 130–159, https://doi.org/10.1080/20014422.1929.11880498, 1929. 
Beijing Digital View Technology Co., Ltd.: Geographical Information Monitoring Cloud Platform, available at: http://www.dsac.cn/, last access: 28 May 2019. 
Bi, J., Shi, J., Xie, Y., and Liu, Y.: Dust Aerosol Characteristics and Shortwave Radiative Impact at a Gobi Desert of Northwest China during the Spring of 2012, J. Meteorol. Soc. Jpn., 92, 33–56, https://doi.org/10.2151/jmsj.2014-A03, 2014. 
Cesnulyte, V., Lindfors, A. V., Pitkänen, M. R. A., Lehtinen, K. E. J., Morcrette, J.-J., and Arola, A.: Comparing ECMWF AOD with AERONET observations at visible and UV wavelengths, Atmos. Chem. Phys., 14, 593–608, https://doi.org/10.5194/acp-14-593-2014, 2014. 
Che, H., Shi, G., Uchiyama, A., Yamazaki, A., Chen, H., Goloub, P., and Zhang, X.: Intercomparison between aerosol optical properties by a PREDE skyradiometer and CIMEL sunphotometer over Beijing, China, Atmos. Chem. Phys., 8, 3199–3214, https://doi.org/10.5194/acp-8-3199-2008, 2008. 
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The systematic validation and comparison of MAIAC, DT, and DB AOD products across China from 2000 to 2017 is presented. In this process, the overall accuracy, land type dependence, view geometry dependence, spatiotemporal retrieval accuracy, spatial variation pattern, and spatiotemporal completeness of the three products are analyzed in detail. In general, MAIAC achieves higher accuracy than DT and DB, but DT and DB may perform better than MAIAC under some specific land cover types or seasons.
The systematic validation and comparison of MAIAC, DT, and DB AOD products across China from...
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