Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020
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| Auteurs principaux: | , , , , , , |
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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2022
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| _version_ | 1867169149085548544 |
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| author | Beck, Ivo Quéléver, Lauriane Laurila, Tiia Jokinen, Tuija Baccarini, Andrea Angot, Hélène Schmale, Julia |
| author_facet | Beck, Ivo Quéléver, Lauriane Laurila, Tiia Jokinen, Tuija Baccarini, Andrea Angot, Hélène Schmale, Julia |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This dataset contains a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA) based on the corrected particle number concentration data (doi:10.1594/PANGAEA.941886) measured during the year long MOSAiC expedition from October 2019 to September 2020. With pollution, we refer to emission from the exhaust of the ship stack, snow groomers, diesel generators, ship vents, helicopters and other. Pollution hence reflects locally emitted particles and trace gases, which are not representative of the central Arctic ambient concentrations. The PDA identifies and flags periods of polluted data in the particle number concentration dataset five steps. The first and most important step identifies polluted periods based on the gradient (time-derivative) of a concentration over time. If this gradient exceeds a given threshold, data are flagged as polluted. Further pollution identification steps are a simple concentration threshold filter, a neighboring points filter (optional), a median and a sparse data filter (optional). The detailed methodology of the derivation of the pollution flag is described in Beck et al. (2022). A description and download link to the used particle number concentration dataset can be found here: doi:10.1594/PANGAEA.941886. The code of the PDA can be found on Zenodo (Beck et al., 2021; doi:10.5281/zenodo.5761101). Participation of the Swiss Container was co-financed by the Swiss Polar Institute and University of Helsinki. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_941335 |
| institution | PANGAEA |
| language | en |
| publishDate | 2022 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 Beck, Ivo Quéléver, Lauriane Laurila, Tiia Jokinen, Tuija Baccarini, Andrea Angot, Hélène Schmale, Julia aerosol; Arctic aerosol; Arctic Ocean; Condensation particle counter; CPC; DATE/TIME; Event label; Flag; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Particle number; Polarstern; Pollution detection algorithm; PS122/1; PS122/1_1-78; PS122/2; PS122/2_14-35; PS122/3; PS122/3_28-30; PS122/4; PS122/4_43-23; PS122/5; PS122/5_58-25 This dataset contains a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA) based on the corrected particle number concentration data (doi:10.1594/PANGAEA.941886) measured during the year long MOSAiC expedition from October 2019 to September 2020. With pollution, we refer to emission from the exhaust of the ship stack, snow groomers, diesel generators, ship vents, helicopters and other. Pollution hence reflects locally emitted particles and trace gases, which are not representative of the central Arctic ambient concentrations. The PDA identifies and flags periods of polluted data in the particle number concentration dataset five steps. The first and most important step identifies polluted periods based on the gradient (time-derivative) of a concentration over time. If this gradient exceeds a given threshold, data are flagged as polluted. Further pollution identification steps are a simple concentration threshold filter, a neighboring points filter (optional), a median and a sparse data filter (optional). The detailed methodology of the derivation of the pollution flag is described in Beck et al. (2022). A description and download link to the used particle number concentration dataset can be found here: doi:10.1594/PANGAEA.941886. The code of the PDA can be found on Zenodo (Beck et al., 2021; doi:10.5281/zenodo.5761101). Participation of the Swiss Container was co-financed by the Swiss Polar Institute and University of Helsinki. |
| title | Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 |
| topic | aerosol; Arctic aerosol; Arctic Ocean; Condensation particle counter; CPC; DATE/TIME; Event label; Flag; LATITUDE; LONGITUDE; MOSAiC; MOSAiC_ATMOS; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; North Greenland Sea; Particle number; Polarstern; Pollution detection algorithm; PS122/1; PS122/1_1-78; PS122/2; PS122/2_14-35; PS122/3; PS122/3_28-30; PS122/4; PS122/4_43-23; PS122/5; PS122/5_58-25 |
| url | https://doi.org/10.1594/PANGAEA.941335 |