Articles | Volume 12, issue 1
https://doi.org/10.5194/amt-12-607-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-607-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jan 2019
Research article |
| 30 Jan 2019
| 30 Jan 2019
Technical note: Absorption aerosol optical depth components from AERONET observations of mixed dust plumes
Sung-Kyun Shin
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield, Hertfordshire, UK
Matthias Tesche
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield, Hertfordshire, UK
Leipzig Institute for Meteorology, Leipzig University, Leipzig, Germany
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield, Hertfordshire, UK
Youngmin Noh
Department of Environmental Engineering, Pukyong National University, Busan, Republic of Korea
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- Classification of aerosols over Saudi Arabia from 2004–2016 M. Ali et al. 10.1016/j.atmosenv.2020.117785
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- Wintertime aerosol properties of urban desert region of western India: Implications in regional climate assessment S. Roy et al. 10.1016/j.scitotenv.2023.161473
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27 citations as recorded by crossref.
- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
- Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods Q. Chen et al. 10.1016/j.atmosres.2024.107523
- Quantifying the effects of the microphysical properties of black carbon on the determination of brown carbon using measurements at multiple wavelengths J. Luo et al. 10.5194/acp-24-427-2024
- Aerosol absorption using in situ filter-based photometers and ground-based sun photometry in the Po Valley urban atmosphere A. Bigi et al. 10.5194/acp-23-14841-2023
- Aerosol-type classification based on AERONET version 3 inversion products S. Shin et al. 10.5194/amt-12-3789-2019
- Spatio-temporal patterns and trends of the air pollution integrating MERRA-2 and in situ air quality data over Egypt (2013–2021) A. Masoud 10.1007/s11869-023-01357-6
- Light-absorption properties of brown carbon aerosols in the Asian outflow: Implications of a combination of filter and ground remote-sensing observations at Fukue Island, Japan C. Zhu et al. 10.1016/j.scitotenv.2021.149155
- Spatiotemporal Variation in Absorption Aerosol Optical Depth over China M. Mao et al. 10.3390/atmos15091099
- Impact of Aerosol Mixing State and Hygroscopicity on the Lidar Ratio Z. Zhang et al. 10.3390/rs14071554
- Direct radiative forcing of light-absorbing carbonaceous aerosols in China L. Yang et al. 10.1016/j.atmosres.2024.107396
- Climatological aspects of size-resolved column aerosol optical properties over a rural site in the southern peninsular India B. Madhavan et al. 10.1016/j.atmosres.2020.105345
- Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation J. Lin et al. 10.3390/rs13061114
- Regional impacts of black carbon morphologies on shortwave aerosol–radiation interactions: a comparative study between the US and China J. Luo et al. 10.5194/acp-22-7647-2022
- 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
- Spatial and Temporal Distribution of PM2.5 Pollution over Northeastern Mexico: Application of MERRA-2 Reanalysis Datasets J. Carmona et al. 10.3390/rs12142286
- Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018 N. Dehkhoda et al. 10.3390/rs14061510
- Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. 10.1016/j.atmosenv.2022.119054
- Classification of aerosols over Saudi Arabia from 2004–2016 M. Ali et al. 10.1016/j.atmosenv.2020.117785
- Spatio-temporal variation of absorbing aerosol over South Africa using satellite measurements N. Onyeuwaoma & V. Sivakumar 10.1080/02786826.2025.2450206
- Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions Z. Liu et al. 10.1038/s41612-024-00663-9
- 3+2 + X: what is the most useful depolarization input for retrieving microphysical properties of non-spherical particles from lidar measurements using the spheroid model of Dubovik et al. (2006)? M. Tesche et al. 10.5194/amt-12-4421-2019
- Aerosol Optical Depth Measurements from a Simulated Low-Cost Multi-Wavelength Ground-Based Camera: A Clear Case over a Peri-Urban Area V. Boulisset et al. 10.3390/rs16010140
- Composite Aerosol Optical Depth Mapping over Northeast Asia from GEO-LEO Satellite Observations S. Ahn et al. 10.3390/rs13061096
- Assessment of aerosols over five cities of Angola based on MERRA–2 reanalysis data P. Campos et al. 10.1016/j.apr.2022.101569
- Wintertime aerosol properties of urban desert region of western India: Implications in regional climate assessment S. Roy et al. 10.1016/j.scitotenv.2023.161473
- Combining CALIPSO and AERONET Data to Classify Aerosols Globally Y. Lin et al. 10.1109/TGRS.2021.3138085
Latest update: 02 Apr 2025
Short summary
We present a methodology to infer the contribution of mineral dust and non-dust aerosol to the absorbing aerosol optical depth (AAOD) of mixed aerosol layers. The method presents an adaptation of a lidar-based aerosol-type separation technique to passive measurements with AERONET sun photometers by using lidar-specific parameters obtained from the AERONET inversion. The findings on BC-related AAOD are compared to CAMS aerosol reanalysis data with promising results for sites in east Asia.
We present a methodology to infer the contribution of mineral dust and non-dust aerosol to the...
