Articles | Volume 16, issue 3
Atmos. Chem. Phys., 16, 1789–1808, 2016
https://doi.org/10.5194/acp-16-1789-2016

Special issue: Meso-scale aerosol processes, comparison and validation studies...

Atmos. Chem. Phys., 16, 1789–1808, 2016
https://doi.org/10.5194/acp-16-1789-2016

Research article 16 Feb 2016

Research article | 16 Feb 2016

Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS)

M. Kim et al.

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Cited articles

Bevan, S. L., North, P. R. J., Los, S. O., and Grey, W. M. F.: A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR, Remote Sens. Environ., 116, 199–210, https://doi.org/10.1016/j.rse.2011.05.024, 2012.
Castanho, A. D. D. A., Martins, J. V., and Artaxo, P.: MODIS aerosol optical depth Retrievals with high spatial resolution over an urban area using the critical reflectance, J. Geophys. Res.-Atmos., 113, D02201, https://doi.org/10.1029/2007jd008751, 2008.
Choi, M., Kim, J., Lee, J., Kim, M., Je Park, Y., Jeong, U., Kim, W., Holben, B., Eck, T. F., Lim, J. H., and Song, C. K.: GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during DRAGON-NE Asia 2012 campaign, Atmos. Meas. Tech. Discuss., 8, 9565–9609, https://doi.org/10.5194/amtd-8-9565-2015, 2015.
Deroubaix, A., Martiny, N., Chiapello, I., and Marticorena, B.: Suitability of OMI aerosol index to reflect mineral dust surface conditions: Preliminary application for studying the link with meningitis epidemics in the sahel, Remote Sens. Environ., 133, 116–127, https://doi.org/10.1016/j.rse.2013.02.009, 2013.
Dubovik, O. and King, M. D.: A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res.-Atmos., 105, 20673–20696, https://doi.org/10.1029/2000jd900282, 2000.
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An aerosol model optimized for East Asia is improved by applying inversion data from the DRAGON-NE Asia 2012 campaign, and is applied to an AOD retrieval algorithm using single visible measurements from a GEO satellite. In sensitivity tests, a 4 % overestimation in SSA can cause an underestimation in AOD of over 20 %. In accordance with the test, the overestimating tendency of AOD was improved by 8 % after the modification of the aerosol model.
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