Articles | Volume 15, issue 23
https://doi.org/10.5194/amt-15-6965-2022
© Author(s) 2022. 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-15-6965-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Dec 2022
Research article |
| 06 Dec 2022
| 06 Dec 2022
Importance of size representation and morphology in modelling optical properties of black carbon: comparison between laboratory measurements and model simulations
Baseerat Romshoo
CORRESPONDING AUTHOR
Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany
Mira Pöhlker
Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany
Alfred Wiedensohler
Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany
Sascha Pfeifer
Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany
Jorge Saturno
Department 3.4 Analytical Chemistry of the Gas Phase, Physikalisch-Technische Bundesanstalt (PTB), 38116 Braunschweig, Germany
Andreas Nowak
Department 3.4 Analytical Chemistry of the Gas Phase, Physikalisch-Technische Bundesanstalt (PTB), 38116 Braunschweig, Germany
Krzysztof Ciupek
Atmospheric Environmental Science Department, National Physical
Laboratory (NPL), Teddington, TW11 0LW, UK
Paul Quincey
Atmospheric Environmental Science Department, National Physical
Laboratory (NPL), Teddington, TW11 0LW, UK
Konstantina Vasilatou
Laboratory Particles and Aerosols, Federal Institute of Metrology METAS, 3003 Bern-Wabern, Switzerland
Michaela N. Ess
Laboratory Particles and Aerosols, Federal Institute of Metrology METAS, 3003 Bern-Wabern, Switzerland
Maria Gini
Environmental Radioactivity Laboratory, Institute of Nuclear &
Radiological Sciences and Technology, Energy & Safety (INRASTES), N.C.S.R. Demokritos, Attiki, 15310, Greece
Konstantinos Eleftheriadis
Environmental Radioactivity Laboratory, Institute of Nuclear &
Radiological Sciences and Technology, Energy & Safety (INRASTES), N.C.S.R. Demokritos, Attiki, 15310, Greece
Chris Robins
Atmospheric Environmental Science Department, National Physical
Laboratory (NPL), Teddington, TW11 0LW, UK
François Gaie-Levrel
Central Air Quality Monitoring Laboratory, Laboratoire National de Métrologie et d'Essais (LNE), Paris, 75015, France
Thomas Müller
Atmospheric Microphysics Department, Leibniz Institute for Tropospheric Research, 04318 Leipzig, Germany
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Cited
9 citations as recorded by crossref.
- Optical modeling of atmospheric black carbon aerosol ensembles with complex particle morphology Y. Wu et al. 10.1088/1748-9326/ad3b21
- Generation, characterization, and toxicological assessment of reference ultrafine soot particles with different organic content for inhalation toxicological studies A. Das et al. 10.1016/j.scitotenv.2024.175727
- Improving the predictions of black carbon (BC) optical properties at various aging stages using a machine-learning-based approach B. Romshoo et al. 10.5194/acp-24-8821-2024
- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. 10.1038/s41612-023-00520-1
- Black carbon in contrasting environments in India: Temporal variability, source apportionment and radiative forcing B. Romshoo et al. 10.1016/j.atmosenv.2023.119734
- A review of quantification methods for light absorption enhancement of black carbon aerosol Y. Kong et al. 10.1016/j.scitotenv.2024.171539
- Significant contribution of fractal morphology to aerosol light absorption in polluted environments dominated by black carbon (BC) B. Romshoo et al. 10.1038/s41612-024-00634-0
- An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models G. Chen et al. 10.1029/2022MS003501
- Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation J. Liu et al. 10.5194/amt-16-4961-2023
9 citations as recorded by crossref.
- Optical modeling of atmospheric black carbon aerosol ensembles with complex particle morphology Y. Wu et al. 10.1088/1748-9326/ad3b21
- Generation, characterization, and toxicological assessment of reference ultrafine soot particles with different organic content for inhalation toxicological studies A. Das et al. 10.1016/j.scitotenv.2024.175727
- Improving the predictions of black carbon (BC) optical properties at various aging stages using a machine-learning-based approach B. Romshoo et al. 10.5194/acp-24-8821-2024
- Radiative forcing bias calculation based on COSMO (Core-Shell Mie model Optimization) and AERONET data P. Tiwari et al. 10.1038/s41612-023-00520-1
- Black carbon in contrasting environments in India: Temporal variability, source apportionment and radiative forcing B. Romshoo et al. 10.1016/j.atmosenv.2023.119734
- A review of quantification methods for light absorption enhancement of black carbon aerosol Y. Kong et al. 10.1016/j.scitotenv.2024.171539
- Significant contribution of fractal morphology to aerosol light absorption in polluted environments dominated by black carbon (BC) B. Romshoo et al. 10.1038/s41612-024-00634-0
- An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models G. Chen et al. 10.1029/2022MS003501
- Numerical investigation on retrieval errors of mixing states of fractal black carbon aerosols using single-particle soot photometer based on Mie scattering and the effects on radiative forcing estimation J. Liu et al. 10.5194/amt-16-4961-2023
Latest update: 13 Dec 2024
Short summary
Black carbon (BC) is often assumed to be spherically shaped, causing uncertainties in its optical properties when modelled. This study investigates different modelling techniques for the optical properties of BC by comparing them to laboratory measurements. We provide experimental support for emphasizing the use of appropriate size representation (polydisperse size method) and morphological representation (aggregate morphology) for optical modelling and parameterization scheme development of BC.
Black carbon (BC) is often assumed to be spherically shaped, causing uncertainties in its...
