Articles | Volume 15, issue 12
https://doi.org/10.5194/acp-15-6707-2015
© Author(s) 2015. 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-15-6707-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jun 2015
Research article |
| 17 Jun 2015
Vertical variation of optical properties of mixed Asian dust/pollution plumes according to pathway of air mass transport over East Asia
S.-K. Shin
School of Environmental Science and Engineering, Gwangju Institute of Science & Technology, Gwangju, Republic of Korea
now at: Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, Gangneung, Republic of Korea
D. Müller
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hertfordshire, UK
formerly at: School of Environmental Science and Engineering, Gwangju Institute of Science & Technology, Gwangju, Republic of Korea
C. Lee
Korea Meteorological Administration, Seoul, Republic of Korea
K. H. Lee
Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, Gangneung, Republic of Korea
D. Shin
Air Quality Forecasting Centre, Climate and Air Quality Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
Y. J. Kim
School of Environmental Science and Engineering, Gwangju Institute of Science & Technology, Gwangju, Republic of Korea
Y. M. Noh
CORRESPONDING AUTHOR
International Environmental Research Centre (IERC), Gwangju Institute of Science & Technology, Gwangju, Republic of Korea
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Cited
31 citations as recorded by crossref.
- Polarization properties of aerosol particles over western Japan: classification, seasonal variation, and implications for air quality X. Pan et al.
- Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar Y. Noh et al.
- Classification of aerosol types using AERONET version 3 data over Kuwait City F. Khademi & A. Bayat
- Vertical Structure of Dust Aerosols Observed by a Ground-Based Raman Lidar with Polarization Capabilities in the Center of the Taklimakan Desert S. Zhang et al.
- Meteorology influencing springtime air quality, pollution transport, and visibility in Korea D. Peterson et al.
- Modelling of Aerosol Vertical Distribution during a Spring Season at Gwangju, Korea S. Shin & K. Lee
- Optical properties and seasonal distribution of aerosol layers observed by lidar over Jinhua, southeast China S. Yu et al.
- Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 2: case studies A. Kolgotin et al.
- Analysis of PM2.5 Mass Extinction Efficiency Characteristics in Busan, South Korea Using Long-Term Scanning LiDAR Observations J. Yoon et al.
- Optical and microphysical characterization of aerosol layers over South Africa by means of multi-wavelength depolarization and Raman lidar measurements E. Giannakaki et al.
- Investigations of aerosol types classification and PM2.5 concentrations: A case study of two major cities in Pakistan M. Zeeshan & K. Alam
- Variation of the vertical distribution of Nabro volcano aerosol layers in the stratosphere observed by LIDAR Y. Noh et al.
- Aerosol and cloud droplet characteristics over Ganges Valley during break phase of monsoon: A case study M. Varghese et al.
- Synergetic analysis of springtime air pollution episodes over Gwangju, Korea S. Shin et al.
- A Long-term Trend of Annual Average Aerosol Optical Properties in the Korean Peninsula using AERONET Sun/Sky Radiometer Data Y. Noh
- On the spectral depolarisation and lidar ratio of mineral dust provided in the AERONET version 3 inversion product S. Shin et al.
- Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties S. LeBlanc et al.
- Investigations on the Aerosol Type Classification using Machine Learning Techniques over Multiple AERONET Sites in India M. Anitha & L. Kumar
- Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al.
- Increased number concentrations of small particles explain perceived stagnation in air quality over Korea S. Joo et al.
- Contrasting synoptic weather patterns between non-dust high particulate matter events and Asian dust events in Seoul, South Korea M. Jung et al.
- Simultaneous Aerosol and Ocean Properties From the PolCube CubeSat Polarimeter S. Stamnes et al.
- Dust Criteria Derived from Long-Term Filter and Online Observations at Gosan in South Korea X. Shang et al.
- Influence of the vertical absorption profile of mixed Asian dust plumes on aerosol direct radiative forcing over East Asia Y. Noh et al.
- Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data J. Shin et al.
- Utilization of the depolarization ratio derived by AERONET Sun/sky radiometer data for type confirmation of a mixed aerosol plume over East Asia Y. Noh et al.
- Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al.
- A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin
- Retrieval of Depolarization ratio using Sunphotometer data and Comparison with LIDAR Depolarization ratio K. Lee et al.
- Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al.
- Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia S. Tariq et al.
31 citations as recorded by crossref.
- Polarization properties of aerosol particles over western Japan: classification, seasonal variation, and implications for air quality X. Pan et al.
- Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar Y. Noh et al.
- Classification of aerosol types using AERONET version 3 data over Kuwait City F. Khademi & A. Bayat
- Vertical Structure of Dust Aerosols Observed by a Ground-Based Raman Lidar with Polarization Capabilities in the Center of the Taklimakan Desert S. Zhang et al.
- Meteorology influencing springtime air quality, pollution transport, and visibility in Korea D. Peterson et al.
- Modelling of Aerosol Vertical Distribution during a Spring Season at Gwangju, Korea S. Shin & K. Lee
- Optical properties and seasonal distribution of aerosol layers observed by lidar over Jinhua, southeast China S. Yu et al.
- Aerosol Typing from Linear estimations for the Analytical Separation (ATLAS) of complex aerosol mixtures and improved identification of microphysical parameters from multiwavelength lidar data, part 2: case studies A. Kolgotin et al.
- Analysis of PM2.5 Mass Extinction Efficiency Characteristics in Busan, South Korea Using Long-Term Scanning LiDAR Observations J. Yoon et al.
- Optical and microphysical characterization of aerosol layers over South Africa by means of multi-wavelength depolarization and Raman lidar measurements E. Giannakaki et al.
- Investigations of aerosol types classification and PM2.5 concentrations: A case study of two major cities in Pakistan M. Zeeshan & K. Alam
- Variation of the vertical distribution of Nabro volcano aerosol layers in the stratosphere observed by LIDAR Y. Noh et al.
- Aerosol and cloud droplet characteristics over Ganges Valley during break phase of monsoon: A case study M. Varghese et al.
- Synergetic analysis of springtime air pollution episodes over Gwangju, Korea S. Shin et al.
- A Long-term Trend of Annual Average Aerosol Optical Properties in the Korean Peninsula using AERONET Sun/Sky Radiometer Data Y. Noh
- On the spectral depolarisation and lidar ratio of mineral dust provided in the AERONET version 3 inversion product S. Shin et al.
- Airborne observations during KORUS-AQ show that aerosol optical depths are more spatially self-consistent than aerosol intensive properties S. LeBlanc et al.
- Investigations on the Aerosol Type Classification using Machine Learning Techniques over Multiple AERONET Sites in India M. Anitha & L. Kumar
- Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al.
- Increased number concentrations of small particles explain perceived stagnation in air quality over Korea S. Joo et al.
- Contrasting synoptic weather patterns between non-dust high particulate matter events and Asian dust events in Seoul, South Korea M. Jung et al.
- Simultaneous Aerosol and Ocean Properties From the PolCube CubeSat Polarimeter S. Stamnes et al.
- Dust Criteria Derived from Long-Term Filter and Online Observations at Gosan in South Korea X. Shang et al.
- Influence of the vertical absorption profile of mixed Asian dust plumes on aerosol direct radiative forcing over East Asia Y. Noh et al.
- Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data J. Shin et al.
- Utilization of the depolarization ratio derived by AERONET Sun/sky radiometer data for type confirmation of a mixed aerosol plume over East Asia Y. Noh et al.
- Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al.
- A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin
- Retrieval of Depolarization ratio using Sunphotometer data and Comparison with LIDAR Depolarization ratio K. Lee et al.
- Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al.
- Classification of aerosols using particle linear depolarization ratio (PLDR) over seven urban locations of Asia S. Tariq et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
The measurements from 2009 to 2013 using a multiwavelength Raman lidar were conducted to identify the changes in optical properties of East Asian dust. We found that the optical properties of Asian dust change depending on the dust plume's vertical position and the change of vertical position during transport over China. We believe this paper provides a better understanding of the optical properties of mixed Asian dust plums and the effect of long-range transport on dust properties.
The measurements from 2009 to 2013 using a multiwavelength Raman lidar were conducted to...
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