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http://dx.doi.org/10.7780/kjrs.2018.34.6.1.2

Derivation of Synergistic Aerosol Model by Using the ECMWF/MACC and OPAC  

Lee, Kwon-Ho (Department of Atmospheric Environmental Sciences, Gangneung Wonju National University)
Lee, Kyu-Tae (Department of Atmospheric Environmental Sciences, Gangneung Wonju National University)
Mun, Gwan-Ho (Agency for Defense Development)
Kim, Jung-ho (Agency for Defense Development)
Jung, Kyoung-Jin (Agency for Defense Development)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_1, 2018 , pp. 857-868 More about this Journal
Abstract
The microphysics and spatio-temporal distribution of atmospheric aerosols are responsible for estimating the optical properties at a given location. Its accurate estimation is essential to plan efficient simulation for radiative transfer. For this sake, synergetic use of reanalysis data with optics database was used as a potential tool to precisely derive the aerosol model on the basis of the major representative particulates exist within a model grid. In detail, mixing of aerosol types weighted by aerosol optical depth (AOD) components has been developed. This synergetic aerosol model (SAM) is spectrally extended up to $40{\mu}m$. For the major aerosol event cases, SAM showed that the mixed aerosol particles were totally different from the typical standard aerosol models provided by the radiative transfer model. The correlation among the derived aerosol optical properties along with ground-based observation data has also been compared. The current results will help to improve the radiative transfer model simulation under the real atmospheric environment.
Keywords
aerosol; AOD; synergetic aerosol model; radiative transfer;
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Times Cited By KSCI : 3  (Citation Analysis)
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