Articles | Volume 16, issue 3
https://doi.org/10.5194/acp-16-1789-2016
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, J. Kim, U. Jeong, W. Kim, H. Hong, B. Holben, T. F. Eck, J. H. Lim, C. K. Song, S. Lee, and C.-Y. Chung

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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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Short summary
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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