HR: 1340h
AN: A23A-0887 [Abstracts]
TI: Validation of Aerosol Type Classification from Satellite Remote Sensing
AU: * Lee, J
EM: soule82@yonsei.ac.kr
AF: Yonsei University, 134 Sinchon-dong, Seodaemoon-gu, Seoul, 120-749, Korea, Republic
of
AU: Kim, J
EM: jkim2@yonsei.ac.kr
AF: Yonsei University, 134 Sinchon-dong, Seodaemoon-gu, Seoul, 120-749, Korea, Republic
of
AU: Mok, J
EM: mc2@yonsei.ac.kr
AF: Yonsei University, 134 Sinchon-dong, Seodaemoon-gu, Seoul, 120-749, Korea, Republic
of
AU: Kim, Y
EM: yoonjae@kma.go.kr
AF: National Institute of Meteorological Research, 460-18, Shindaebang-dong, Dongjak-gu,
Seoul, 156-720, Korea, Republic of
AU: Takemura, T
EM: toshi@riam.kyushu-u.ac.jp
AF: Research Institute for Applied Mechanics, 6-1 Kasuga-koen, Kasuga, Fukuoka, 816-8580,
Japan
AB:
Aerosol type classification from satellite remote sensing has been being one of important problems during recent
years since the effect of aerosols to climate is different from one type to another type. Based on improved nadir-
viewing satellite sensors, such as Moderate Resolution Imaging Spectrometer (MODIS) and Ozone Monitoring
Instrument (OMI), and retrieval algorithms, many studies have been shown the possibility of aerosol type
classification from satellite-based remote sensing [cf. Kim et al., 2007; Lee et al., 2007; Jeong and Li, 2005;
Kaufman et al., 2005; Higurashi and Nakajima, 2002, etc.]. Despite of the importance of validation, it was difficult
to find out the truth due to limitation of aerosol type measurements for validation of retrieved aerosol types.
In this study, retrieved aerosol types from MODIS-OMI algorithm and four-channel algorithm were compared with
aerosol types from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and Spectral
Radiation-Transport Model for Aerosol Species (SPRINTARS) data, dust aerosol optical thickness from Multi-
functional Transport Satellite-1R (MTSAT-1R), and carbon monoxide column density from Measurements Of
Pollution In The Troposphere (MOPITT) for the purpose of validation and inter-comparison. Although the analysis
are limited and preliminary, satellite observations showed promising future in understanding the global
distribution and characteristics of aerosol type by using well-known, state-of-the-art MODIS and OMI, and possibly
other relevant satellites.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 1029 Composition of aerosols and dust particles
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting