Articles | Volume 16, issue 4
https://doi.org/10.5194/amt-16-1103-2023
© Author(s) 2023. 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-16-1103-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Relationship between the sub-micron fraction (SMF) and fine-mode fraction (FMF) in the context of AERONET retrievals
Norman T. O'Neill
CORRESPONDING AUTHOR
Centre d'applications et de recherches en télédétection
(CARTEL), Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
Keyvan Ranjbar
Flight Research Laboratory, National Research Council, Ottawa, ON, K1V 1J8, Canada
Liviu Ivănescu
Centre d'applications et de recherches en télédétection
(CARTEL), Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
Thomas F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Jeffrey S. Reid
US Naval Research Laboratory, Monterey, CA 93943, USA
David M. Giles
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Daniel Pérez-Ramírez
Department of Applied Physics, University of Granada, Granada 18071,
Spain
Jai Prakash Chaubey
Department of Physics and Atmospheric Sciences, Dalhousie University,
Halifax, NS, B3H 4R2, Canada
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- Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods Q. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107523
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- Increased number concentrations of small particles explain perceived stagnation in air quality over Korea S. Joo et al. https://doi.org/10.5194/acp-25-1023-2025
- A Three-Parameter Aerosol Optical Discrimination Framework Integrating Fine-Mode Fraction, Single Scattering Albedo, and Differential Ångström Exponent over Selected AERONET Sites in Africa Y. Situma et al. https://doi.org/10.4236/ajcc.2026.153004
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- Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus P. Xian et al. https://doi.org/10.5194/acp-24-6385-2024
- Analysis of PM2.5 Mass Extinction Efficiency Characteristics in Busan, South Korea Using Long-Term Scanning LiDAR Observations J. Yoon et al. https://doi.org/10.7780/kjrs.2026.42.1.3
- Bridging the Gap: Establishing Spatial Correlations and Type Conversion Relationships among Different Aerosol Idetification Methods Q. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107523
- A data-driven method for aerosol FMF retrieval over land using single-view polarization satellite data Z. Shi et al. https://doi.org/10.1016/j.atmosenv.2025.121083
- Impact of spectral aerosol radiative forcing at the Izaña observatory during the August 2023 extreme wildfires R. García et al. https://doi.org/10.5194/amt-19-3151-2026
- Detection and analysis of Lhù'ààn Mân' (Kluane Lake) dust plumes using passive and active ground-based remote sensing supported by physical surface measurements S. Sayedain et al. https://doi.org/10.5194/amt-16-4115-2023
- ATMOSPHERIC AEROSOL OBSERVATION DATA AT KYIV AERONET SITE: CONTRIBUTION TO THE ACME PROJECT V. DANYLEVSKY et al. https://doi.org/10.17721/BTSNUA.2025.72.58-66
- Spectral Deconvolution Algorithm for Global Fine-Mode Aerosol Retrieval in the 1990s Using Dual-Angle Satellite Aerosol Data X. Yan et al. https://doi.org/10.1109/TGRS.2023.3332316
- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. https://doi.org/10.1038/s41612-023-00520-1
- Increased number concentrations of small particles explain perceived stagnation in air quality over Korea S. Joo et al. https://doi.org/10.5194/acp-25-1023-2025
- A Three-Parameter Aerosol Optical Discrimination Framework Integrating Fine-Mode Fraction, Single Scattering Albedo, and Differential Ångström Exponent over Selected AERONET Sites in Africa Y. Situma et al. https://doi.org/10.4236/ajcc.2026.153004
- A global decline in atmospheric dust during the 21st century A. Gupta et al. https://doi.org/10.1126/sciadv.aef5691
Saved (final revised paper)
Latest update: 26 Sep 2026
Short summary
Aerosols are atmospheric particles that vary in size (radius) from a fraction of a micrometer (µm) to around 20 µm. They tend to be either smaller than 1 µm (like smoke or pollution) or larger than 1 µm (like dust or sea salt). Their optical effect (scattering and absorbing sunlight) can be divided into FM (fine-mode) and CM (coarse-mode) parts using a cutoff radius around 1 µm or a spectral (color) technique. We present and validate a theoretical link between the types of FM and CM divisions.
Aerosols are atmospheric particles that vary in size (radius) from a fraction of a micrometer...