Articles | Volume 17, issue 10
https://doi.org/10.5194/acp-17-6271-2017
© Author(s) 2017. 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-17-6271-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 May 2017
Research article |
| 22 May 2017
Depolarization ratios retrieved by AERONET sun–sky radiometer data and comparison to depolarization ratios measured with lidar
Youngmin Noh
International Environmental Research Center, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hertfordshire, UK
Kyunghwa Lee
Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
Kwanchul Kim
Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
Kwonho Lee
Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University, Gangneung, South Korea
Atsushi Shimizu
National Institute for Environmental Studies, Tsukuba, Japan
Itaru Sano
Graduate School of Science and Engineering, Kindai University, Osaka, Japan
Chan Bong Park
Department of Electronic Engineering, Mokwon University, Daejeon, South Korea
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- A Long-term Trend of Annual Average Aerosol Optical Properties in the Korean Peninsula using AERONET Sun/Sky Radiometer Data Y. Noh 10.5572/KOSAE.2021.37.3.456
- Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes S. Shin et al. 10.5194/amt-12-607-2019
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- Radiative absorption enhancement of dust mixed with anthropogenic pollution over East Asia P. Tian et al. 10.5194/acp-18-7815-2018
- Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation J. Lin et al. 10.3390/rs13061114
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27 citations as recorded by crossref.
- A 13-year space-based climatological evolution of desert dust aerosols in the Middle East and North Africa regions observed by the CALIPSO S. Berhane et al. 10.1016/j.scitotenv.2024.174793
- Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al. 10.1016/j.atmosenv.2023.119957
- On the spectral depolarisation and lidar ratio of mineral dust provided in the AERONET version 3 inversion product S. Shin et al. 10.5194/acp-18-12735-2018
- A First Approach to Aerosol Classification Using Space-Borne Measurement Data: Machine Learning-Based Algorithm and Evaluation W. Choi et al. 10.3390/rs13040609
- Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018 N. Dehkhoda et al. 10.3390/rs14061510
- Long-Term Variation of Black Carbon Absorption Aerosol Optical Depth from AERONET Data over East Asia N. Dehkhoda et al. 10.3390/rs12213551
- An AERONET-based methodology to retrieve black carbon light absorption and comparison with MERRA-2 data N. Dehkhoda et al. 10.1016/j.apr.2023.101994
- Investigation of aerosol absorption with dual-polarization lidar observations Z. Huang et al. 10.1364/OE.390475
- Evolution of Aerosols in the Atmospheric Boundary Layer and Elevated Layers during a Severe, Persistent Haze Episode in a Central China Megacity Y. Zhang et al. 10.3390/atmos12020152
- Optical and Microphysical Properties of the Aerosol Field over Sofia, Bulgaria, Based on AERONET Sun-Photometer Measurements T. Evgenieva et al. 10.3390/atmos13060884
- Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al. 10.5194/amt-12-3789-2019
- First triple-wavelength lidar observations of depolarization and extinction-to-backscatter ratios of Saharan dust M. Haarig et al. 10.5194/acp-22-355-2022
- A Short Note on the Potential of Utilization of Spectral AERONET-Derived Depolarization Ratios for Aerosol Classification I. Zo & S. Shin 10.3390/atmos10030143
- A Study on the Variation of Aerosol Optical Depth according to Aerosol Types in Northeast Asia using AErONET Sun/Sky radiometer Data Y. Noh 10.5572/KOSAE.2018.34.5.668
- Optical and chemical properties of long-range transported aerosols using satellite and ground-based observations over seoul, South Korea G. Choo et al. 10.1016/j.atmosenv.2020.118024
- Feasibility Studies of the Three-Wavelength Mie-Scattering Polarization Scheimpflug Lidar Technique Z. Kong et al. 10.1051/epjconf/202023702013
- Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model W. Choi et al. 10.3390/rs13132464
- Long-Term Variation Study of Fine-Mode Particle Size and Regional Characteristics Using AERONET Data J. Shin et al. 10.3390/rs14184429
- Simulated polarization as a signature of aerosol type P. Hamill et al. 10.1016/j.atmosenv.2020.117348
- Estimation of Emission Flux of Particulate Matter by Agricultural Burning in Rural Areas using Scanning LIDAR G. Kim et al. 10.5572/KOSAE.2022.38.3.414
- POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites Y. He et al. 10.5194/amt-16-1951-2023
- A Long-term Trend of Annual Average Aerosol Optical Properties in the Korean Peninsula using AERONET Sun/Sky Radiometer Data Y. Noh 10.5572/KOSAE.2021.37.3.456
- Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes S. Shin et al. 10.5194/amt-12-607-2019
- A Study on the Variation of Aerosol Lidar Ratio according to Aerosol Types on Korea Based on AERONET Sun/Sky Radiometer Data Y. Noh 10.5572/KOSAE.2020.36.1.084
- Radiative absorption enhancement of dust mixed with anthropogenic pollution over East Asia P. Tian et al. 10.5194/acp-18-7815-2018
- Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation J. Lin et al. 10.3390/rs13061114
- Classification of aerosol types in mega-city of Lahore (Pakistan) using ground-based remote sensing M. Khan et al. 10.1007/s11869-024-01511-8
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This paper compares the particle linear depolarization ratio retrieved by AERONET with respect to the one measured by lidar. We can confirm that AERONET derived linear particle depolarization ratio can be used to retrieve the dust ratio in mixed dust plumes. We expect that our results can increase availability of AERONET sun–sky radiometer data in the atmospheric aerosol research and aerosol type classification.
This paper compares the particle linear depolarization ratio retrieved by AERONET with respect...
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