Articles | Volume 16, issue 3
https://doi.org/10.5194/acp-16-1789-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-1789-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
U. Jeong
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
W. Kim
Department of Atmosphere Sciences/IEAA BK 21 plus, Yonsei University,
Seoul, Korea
H. Hong
Department of Spatial Information Engineering, Pukyong National
University, Busan, Korea
B. Holben
NASA Goddard Space Flight Center, Greenbelt, MD, USA
T. F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
J. H. Lim
National Institute of Environmental Research (NIER), Inchon, Korea
C. K. Song
National Institute of Environmental Research (NIER), Inchon, Korea
S. Lee
National Institute of Environmental Research (NIER), Inchon, Korea
now at: Asia Center for Air Pollution Research (ACAP), Niigata-shi, Japan
C.-Y. Chung
National Meteorological Satellite Center, Gwanghyewon-myeon, Jincheon-gun, Chungcheongbuk-do, Korea
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Cited
26 citations as recorded by crossref.
- Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign S. Lee et al. 10.1016/j.atmosenv.2019.02.020
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
- Recent changes of atmospheric composition in background and urban Eurasian regions in XXI-th century V. Rakitin et al. 10.1088/1755-1315/606/1/012048
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia M. Kim et al. 10.5194/amt-16-2673-2023
- Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm H. Lim et al. 10.5467/JKESS.2018.39.2.119
- Modeling Asian Dust Storms Using WRF‐Chem During the DRAGON‐Asia Field Campaign in April 2012 K. Kim et al. 10.1029/2021JD034793
- Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea U. Jeong & H. Hong 10.3390/rs13101877
- CHANGES IN TRENDS OF ATMOSPHERIC COMPOSITION OVER URBAN AND BACKGROUND REGIONS OF EURASIA: ESTIMATES BASED ON SPECTROSCOPIC OBSERVATIONS V. Rakitin et al. 10.24057/2071-9388-2018-11-2-84-96
- Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
- Spatial and temporal variation of aerosol optical depths over six major cities in Bangladesh S. Zaman et al. 10.1016/j.atmosres.2021.105803
- Embedded information of aerosol type, hygroscopicity and scattering enhancement factor revealed by the relationship between PM2.5 and aerosol optical depth K. Chang et al. 10.1016/j.scitotenv.2023.161471
- Which dual-band infrared indices are optimum for identifying aerosol compositional change using Himawari-8 data? M. Sowden & D. Blake 10.1016/j.atmosenv.2020.117620
- Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets M. Kim et al. 10.1016/j.atmosenv.2020.117994
- Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
- Spectral Derivatives of Optical Depth for Partitioning Aerosol Type and Loading T. Lin et al. 10.3390/rs13081544
- Observation of optical properties and sources of aerosols at Buddha’s birthplace, Lumbini, Nepal: environmental implications D. Rupakheti et al. 10.1007/s11356-018-1713-z
- A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation B. Ge et al. 10.1109/TGRS.2018.2854743
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin 10.3390/atmos10030143
- Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. 10.1016/j.rse.2020.111759
- Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia M. Kim et al. 10.3390/rs10020162
- Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
- Exploring the spatial-temporal characteristics of the aerosol optical depth (AOD) in Central Asia based on the moderate resolution imaging spectroradiometer (MODIS) D. Wang et al. 10.1007/s10661-020-08299-x
25 citations as recorded by crossref.
- Analysis of long-range transboundary transport (LRTT) effect on Korean aerosol pollution during the KORUS-AQ campaign S. Lee et al. 10.1016/j.atmosenv.2019.02.020
- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
- Recent changes of atmospheric composition in background and urban Eurasian regions in XXI-th century V. Rakitin et al. 10.1088/1755-1315/606/1/012048
- AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products H. Lim et al. 10.3390/rs10050699
- Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia M. Kim et al. 10.5194/amt-16-2673-2023
- Intercomparing the Aerosol Optical Depth Using the Geostationary Satellite Sensors (AHI, GOCI and MI) from Yonsei AErosol Retrieval (YAER) Algorithm H. Lim et al. 10.5467/JKESS.2018.39.2.119
- Modeling Asian Dust Storms Using WRF‐Chem During the DRAGON‐Asia Field Campaign in April 2012 K. Kim et al. 10.1029/2021JD034793
- Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea U. Jeong & H. Hong 10.3390/rs13101877
- CHANGES IN TRENDS OF ATMOSPHERIC COMPOSITION OVER URBAN AND BACKGROUND REGIONS OF EURASIA: ESTIMATES BASED ON SPECTROSCOPIC OBSERVATIONS V. Rakitin et al. 10.24057/2071-9388-2018-11-2-84-96
- Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al. 10.1016/j.envpol.2020.115924
- Spatial and temporal variation of aerosol optical depths over six major cities in Bangladesh S. Zaman et al. 10.1016/j.atmosres.2021.105803
- Embedded information of aerosol type, hygroscopicity and scattering enhancement factor revealed by the relationship between PM2.5 and aerosol optical depth K. Chang et al. 10.1016/j.scitotenv.2023.161471
- Which dual-band infrared indices are optimum for identifying aerosol compositional change using Himawari-8 data? M. Sowden & D. Blake 10.1016/j.atmosenv.2020.117620
- Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets M. Kim et al. 10.1016/j.atmosenv.2020.117994
- Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
- Spectral Derivatives of Optical Depth for Partitioning Aerosol Type and Loading T. Lin et al. 10.3390/rs13081544
- Observation of optical properties and sources of aerosols at Buddha’s birthplace, Lumbini, Nepal: environmental implications D. Rupakheti et al. 10.1007/s11356-018-1713-z
- A Dark Target Method for Himawari-8/AHI Aerosol Retrieval: Application and Validation B. Ge et al. 10.1109/TGRS.2018.2854743
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al. 10.3390/rs12182900
- Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns H. Lim et al. 10.5194/amt-14-4575-2021
- A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin 10.3390/atmos10030143
- Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements S. Go et al. 10.1016/j.rse.2020.111759
- Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia M. Kim et al. 10.3390/rs10020162
- Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al. 10.5194/amt-12-4619-2019
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Latest update: 25 Apr 2024
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.
An aerosol model optimized for East Asia is improved by applying inversion data from the...
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