Articles | Volume 15, issue 14
https://doi.org/10.5194/amt-15-4195-2022
© 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-15-4195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jul 2022
Research article |
| 20 Jul 2022
| 20 Jul 2022
Automated identification of local contamination in remote atmospheric composition time series
Ivo Beck
CORRESPONDING AUTHOR
Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne, Sion, Switzerland
Hélène Angot
Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne, Sion, Switzerland
Andrea Baccarini
Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne, Sion, Switzerland
Lubna Dada
Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne, Sion, Switzerland
Lauriane Quéléver
Institute for Atmospheric and Earth System Research, INAR/Physics, 00014 University of Helsinki, Helsinki, Finland
Tuija Jokinen
Institute for Atmospheric and Earth System Research, INAR/Physics, 00014 University of Helsinki, Helsinki, Finland
Climate & Atmosphere Research Centre (CARE-C), The Cyprus Institute, P.O. Box 27456, Nicosia, 1645, Cyprus
Tiia Laurila
Institute for Atmospheric and Earth System Research, INAR/Physics, 00014 University of Helsinki, Helsinki, Finland
Markus Lampimäki
Institute for Atmospheric and Earth System Research, INAR/Physics, 00014 University of Helsinki, Helsinki, Finland
Nicolas Bukowiecki
Atmospheric Sciences, Department of Environmental Sciences, University of Basel, Basel, Switzerland
Matthew Boyer
Institute for Atmospheric and Earth System Research, INAR/Physics, 00014 University of Helsinki, Helsinki, Finland
Xianda Gong
Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Martin Gysel-Beer
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, Villigen PSI, Switzerland
Tuukka Petäjä
Institute for Atmospheric and Earth System Research, INAR/Physics, 00014 University of Helsinki, Helsinki, Finland
Jian Wang
Center for Aerosol Science and Engineering, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
Extreme Environments Research Laboratory, École Polytechnique Fédérale de Lausanne, Sion, Switzerland
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Cited
17 citations as recorded by crossref.
- Year-round trace gas measurements in the central Arctic during the MOSAiC expedition H. Angot et al. 10.1038/s41597-022-01769-6
- Arctic warming by abundant fine sea salt aerosols from blowing snow X. Gong et al. 10.1038/s41561-023-01254-8
- Observations of high-time-resolution and size-resolved aerosol chemical composition and microphysics in the central Arctic: implications for climate-relevant particle properties B. Heutte et al. 10.5194/acp-25-2207-2025
- Widespread detection of chlorine oxyacids in the Arctic atmosphere Y. Tham et al. 10.1038/s41467-023-37387-y
- A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: insights from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition M. Boyer et al. 10.5194/acp-23-389-2023
- A central arctic extreme aerosol event triggered by a warm air-mass intrusion L. Dada et al. 10.1038/s41467-022-32872-2
- An Arctic Marine Source of Fluorescent Primary Biological Aerosol Particles During the Transition from Summer to Autumn at the North Pole J. Kojoj et al. 10.16993/tellusb.1880
- Links between atmospheric aerosols and sea state in the Arctic Ocean A. Moallemi et al. 10.1016/j.atmosenv.2024.120844
- Organic aerosols in the inland Tibetan Plateau: New insights from molecular tracers X. Wan et al. 10.1016/j.scitotenv.2023.163797
- Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget J. Barten et al. 10.1525/elementa.2022.00086
- Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC B. Heutte et al. 10.1038/s41597-023-02586-1
- The annual cycle and sources of relevant aerosol precursor vapors in the central Arctic during the MOSAiC expedition M. Boyer et al. 10.5194/acp-24-12595-2024
- Characteristics and sources of fluorescent aerosols in the central Arctic Ocean I. Beck et al. 10.1525/elementa.2023.00125
- Direct observation of Arctic Sea salt aerosol production from blowing snow and modeling over a changing sea ice environment A. Ranjithkumar et al. 10.1525/elementa.2024.00006
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Highly Hygroscopic Aerosols Facilitate Summer and Early‐Autumn Cloud Formation at Extremely Low Concentrations Over the Central Arctic Ocean P. Duplessis et al. 10.1029/2023JD039159
- The Marginal Ice Zone as a dominant source region of atmospheric mercury during central Arctic summertime F. Yue et al. 10.1038/s41467-023-40660-9
17 citations as recorded by crossref.
- Year-round trace gas measurements in the central Arctic during the MOSAiC expedition H. Angot et al. 10.1038/s41597-022-01769-6
- Arctic warming by abundant fine sea salt aerosols from blowing snow X. Gong et al. 10.1038/s41561-023-01254-8
- Observations of high-time-resolution and size-resolved aerosol chemical composition and microphysics in the central Arctic: implications for climate-relevant particle properties B. Heutte et al. 10.5194/acp-25-2207-2025
- Widespread detection of chlorine oxyacids in the Arctic atmosphere Y. Tham et al. 10.1038/s41467-023-37387-y
- A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: insights from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition M. Boyer et al. 10.5194/acp-23-389-2023
- A central arctic extreme aerosol event triggered by a warm air-mass intrusion L. Dada et al. 10.1038/s41467-022-32872-2
- An Arctic Marine Source of Fluorescent Primary Biological Aerosol Particles During the Transition from Summer to Autumn at the North Pole J. Kojoj et al. 10.16993/tellusb.1880
- Links between atmospheric aerosols and sea state in the Arctic Ocean A. Moallemi et al. 10.1016/j.atmosenv.2024.120844
- Organic aerosols in the inland Tibetan Plateau: New insights from molecular tracers X. Wan et al. 10.1016/j.scitotenv.2023.163797
- Low ozone dry deposition rates to sea ice during the MOSAiC field campaign: Implications for the Arctic boundary layer ozone budget J. Barten et al. 10.1525/elementa.2022.00086
- Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC B. Heutte et al. 10.1038/s41597-023-02586-1
- The annual cycle and sources of relevant aerosol precursor vapors in the central Arctic during the MOSAiC expedition M. Boyer et al. 10.5194/acp-24-12595-2024
- Characteristics and sources of fluorescent aerosols in the central Arctic Ocean I. Beck et al. 10.1525/elementa.2023.00125
- Direct observation of Arctic Sea salt aerosol production from blowing snow and modeling over a changing sea ice environment A. Ranjithkumar et al. 10.1525/elementa.2024.00006
- Annual cycle of aerosol properties over the central Arctic during MOSAiC 2019–2020 – light-extinction, CCN, and INP levels from the boundary layer to the tropopause A. Ansmann et al. 10.5194/acp-23-12821-2023
- Highly Hygroscopic Aerosols Facilitate Summer and Early‐Autumn Cloud Formation at Extremely Low Concentrations Over the Central Arctic Ocean P. Duplessis et al. 10.1029/2023JD039159
- The Marginal Ice Zone as a dominant source region of atmospheric mercury during central Arctic summertime F. Yue et al. 10.1038/s41467-023-40660-9
Latest update: 29 Mar 2025
Short summary
We present the pollution detection algorithm (PDA), a new method to identify local primary pollution in remote atmospheric aerosol and trace gas time series. The PDA identifies periods of contaminated data and relies only on the target dataset itself; i.e., it is independent of ancillary data such as meteorological variables. The parameters of all pollution identification steps are adjustable so that the PDA can be tuned to different locations and situations. It is available as open-access code.
We present the pollution detection algorithm (PDA), a new method to identify local primary...
