Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6723-2021
© Author(s) 2021. 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-14-6723-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Oct 2021
Research article |
| 20 Oct 2021
| 20 Oct 2021
Estimates of mass absorption cross sections of black carbon for filter-based absorption photometers in the Arctic
Institute for Space–Earth Environmental Research, Nagoya University,
Nagoya, Aichi, Japan
Institute for Advanced Research, Nagoya University, Nagoya, Aichi,
Japan
Tatsuhiro Mori
Department of Earth and Planetary Science, Graduate School of Science,
The University of Tokyo, Tokyo, Japan
Department of Physics, Faculty of Science Division I, Tokyo University
of Science, Tokyo, Japan
Yutaka Kondo
National Institute of Polar Research, Tachikawa, Tokyo, Japan
Sangeeta Sharma
Climate Chemistry Measurements Research, Climate Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Canada
Antti Hyvärinen
Atmospheric Composition Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Elisabeth Andrews
Cooperative Institute for Research in Environmental Sciences (CIRES),
University of Colorado, Boulder, CO, USA
NOAA Global Monitoring Laboratory, 325 Broadway, Boulder, CO, USA
Peter Tunved
Department of Environmental Science, Stockholm University, Stockholm,
Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm,
Sweden
Eija Asmi
Atmospheric Composition Research Unit, Finnish Meteorological Institute, Helsinki, Finland
John Backman
Atmospheric Composition Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Henri Servomaa
Atmospheric Composition Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Daniel Veber
Climate Chemistry Measurements Research, Climate Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Canada
Konstantinos Eleftheriadis
Environmental Radioactivity Laboratory (ERL), Institute of Nuclear
and Radiological Science & Technology, Energy & Safety, National
Centre for Scientific Research “Demokritos”, 15310 Attiki, Greece
Stergios Vratolis
Environmental Radioactivity Laboratory (ERL), Institute of Nuclear
and Radiological Science & Technology, Energy & Safety, National
Centre for Scientific Research “Demokritos”, 15310 Attiki, Greece
Radovan Krejci
Department of Environmental Science, Stockholm University, Stockholm,
Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm,
Sweden
Paul Zieger
Department of Environmental Science, Stockholm University, Stockholm,
Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm,
Sweden
Makoto Koike
Department of Earth and Planetary Science, Graduate School of Science,
The University of Tokyo, Tokyo, Japan
Yugo Kanaya
Research Institute for Global Change (RIGC), Japan Agency for
Marine-Earth Science and Technology (JAMSTEC), Yokohama, Kanagawa, Japan
Graduate School of Maritime Sciences, Kobe University, Kobe, Japan
Atsushi Yoshida
National Institute of Polar Research, Tachikawa, Tokyo, Japan
Nobuhiro Moteki
Department of Earth and Planetary Science, Graduate School of Science,
The University of Tokyo, Tokyo, Japan
Yongjing Zhao
Air Quality Research Center, University of California, Davis, CA, USA
Yutaka Tobo
National Institute of Polar Research, Tachikawa, Tokyo, Japan
Department of Polar Science, School of Multidisciplinary Sciences,
The Graduate University for Advanced Studies, SOKENDAI, Tachikawa, Tokyo,
Japan
Junji Matsushita
National Institute of Polar Research, Tachikawa, Tokyo, Japan
Naga Oshima
Department of Atmosphere, Ocean, and Earth System Modeling Research, Meteorological Research Institute, Tsukuba, Japan
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- Physical and chemical properties of PM1 in Delhi: A comparison between clean and polluted days A. Malik et al. 10.1016/j.scitotenv.2023.164266
- Drivers controlling black carbon temporal variability in the lower troposphere of the European Arctic S. Gilardoni et al. 10.5194/acp-23-15589-2023
- Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses A. May & H. Li 10.1080/02786826.2022.2114312
- Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds G. Motos et al. 10.5194/acp-23-13941-2023
- Impact of Biomass Burning on Arctic Aerosol Composition Y. Gramlich et al. 10.1021/acsearthspacechem.3c00187
- Climate-relevant properties of black carbon aerosols revealed by in situ measurements: a review N. Moteki 10.1186/s40645-023-00544-4
- Mass absorption cross section of black carbon for Aethalometer in the Arctic M. Singh et al. 10.1080/02786826.2024.2316173
- Vertical distributions of atmospheric black carbon in dry and wet seasons observed at a 356-m meteorological tower in Shenzhen, South China Y. Liang et al. 10.1016/j.scitotenv.2022.158657
- Characteristics of atmospheric black carbon and other aerosol particles over the Arctic Ocean in early autumn 2016: Influence from biomass burning as assessed with observed microphysical properties and model simulations F. Taketani et al. 10.1016/j.scitotenv.2022.157671
- Estimating mass-absorption cross-section of ambient black carbon aerosols: Theoretical, empirical, and machine learning models H. Li & A. May 10.1080/02786826.2022.2114311
- Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic Y. Kanaya et al. 10.1038/s41598-021-02518-2
- Contrasting source contributions of Arctic black carbon to atmospheric concentrations, deposition flux, and atmospheric and snow radiative effects H. Matsui et al. 10.5194/acp-22-8989-2022
- Black carbon scavenging by low-level Arctic clouds P. Zieger et al. 10.1038/s41467-023-41221-w
- Regionally sourced bioaerosols drive high-temperature ice nucleating particles in the Arctic G. Pereira Freitas et al. 10.1038/s41467-023-41696-7
- Arctic black carbon during PAMARCMiP 2018 and previous aircraft experiments in spring S. Ohata et al. 10.5194/acp-21-15861-2021
- Large Circulation Patterns Strongly Modulate Long‐Term Variability of Arctic Black Carbon Levels and Areas of Origin V. Stathopoulos et al. 10.1029/2021GL092876
18 citations as recorded by crossref.
- Atmospheric concentrations of black carbon are substantially higher in spring than summer in the Arctic Z. Jurányi et al. 10.1038/s43247-023-00749-x
- The four-wavelength Photoacoustic Aerosol Absorption Spectrometer (PAAS-4λ) F. Schnaiter et al. 10.5194/amt-16-2753-2023
- CAMP: an instrumented platform for balloon-borne aerosol particle studies in the lower atmosphere C. Pilz et al. 10.5194/amt-15-6889-2022
- Composition and mixing state of Arctic aerosol and cloud residual particles from long-term single-particle observations at Zeppelin Observatory, Svalbard K. Adachi et al. 10.5194/acp-22-14421-2022
- Physical and chemical properties of PM1 in Delhi: A comparison between clean and polluted days A. Malik et al. 10.1016/j.scitotenv.2023.164266
- Drivers controlling black carbon temporal variability in the lower troposphere of the European Arctic S. Gilardoni et al. 10.5194/acp-23-15589-2023
- Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses A. May & H. Li 10.1080/02786826.2022.2114312
- Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds G. Motos et al. 10.5194/acp-23-13941-2023
- Impact of Biomass Burning on Arctic Aerosol Composition Y. Gramlich et al. 10.1021/acsearthspacechem.3c00187
- Climate-relevant properties of black carbon aerosols revealed by in situ measurements: a review N. Moteki 10.1186/s40645-023-00544-4
- Mass absorption cross section of black carbon for Aethalometer in the Arctic M. Singh et al. 10.1080/02786826.2024.2316173
- Vertical distributions of atmospheric black carbon in dry and wet seasons observed at a 356-m meteorological tower in Shenzhen, South China Y. Liang et al. 10.1016/j.scitotenv.2022.158657
- Characteristics of atmospheric black carbon and other aerosol particles over the Arctic Ocean in early autumn 2016: Influence from biomass burning as assessed with observed microphysical properties and model simulations F. Taketani et al. 10.1016/j.scitotenv.2022.157671
- Estimating mass-absorption cross-section of ambient black carbon aerosols: Theoretical, empirical, and machine learning models H. Li & A. May 10.1080/02786826.2022.2114311
- Dominance of the residential sector in Chinese black carbon emissions as identified from downwind atmospheric observations during the COVID-19 pandemic Y. Kanaya et al. 10.1038/s41598-021-02518-2
- Contrasting source contributions of Arctic black carbon to atmospheric concentrations, deposition flux, and atmospheric and snow radiative effects H. Matsui et al. 10.5194/acp-22-8989-2022
- Black carbon scavenging by low-level Arctic clouds P. Zieger et al. 10.1038/s41467-023-41221-w
- Regionally sourced bioaerosols drive high-temperature ice nucleating particles in the Arctic G. Pereira Freitas et al. 10.1038/s41467-023-41696-7
2 citations as recorded by crossref.
Latest update: 24 Apr 2024
Short summary
Reliable values of mass absorption cross sections (MACs) of black carbon (BC) are required to determine mass concentrations of BC at Arctic sites using different types of filter-based absorption photometers. We successfully estimated MAC values for these instruments through comparison with independent measurements of BC by a continuous soot monitoring system called COSMOS. These MAC values are consistent with each other and applicable to study spatial and temporal variation in BC in the Arctic.
Reliable values of mass absorption cross sections (MACs) of black carbon (BC) are required to...
