Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

DOI

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.

This dataset contains a pollution flag in 1 min time resolution and the corresponding particle number concentration data (doi:10.1594/PANGAEA.941886). The data columns include Event, Time, Latitude, Longitude, Particle number concentration and a pollution flag to indicate polluted periods (0=not polluted, 1=polluted). The pollution flag is derived from the Pollution Detection Algorithm (PDA), a python-based open access script to automatically detect contamination in remote atmospheric time series (Beck et al., Atmos. Meas. Tech., in prep.). The following parameters were used in the PDA script to derive this pollution flag:• a= 0.5 cm-3s-1• m = 0.55 s-1• upper_threshold: 104 cm-3• lower_threshold: 60 cm-3• neighboring points filter: on• median deviation factor: 1.4• sparse window: 30• sparse threshold: 24Remark_1: The corrected particle number concentration may still contain some minor artefacts and a critical review of the data by an expert is required. The pollution flag is based on the above mentioned parameters. If needed, the PDA can be tuned to be stricter. The decision whether a single data point is affected by pollution is up to the user and requires an expert review.Remark_2: This pollution mask can be applied to other particle and trace measurements obtained during MOSAiC. Please see Beck et al., Atmos. Meas. Tech., in prep. for a detailed discussion.

Identifier
DOI https://doi.org/10.1594/PANGAEA.941335
Related Identifier References https://doi.org/10.5194/amt-15-4195-2022
Related Identifier References https://doi.org/10.5281/zenodo.5761101
Related Identifier IsVariantFormOf https://doi.org/10.1594/PANGAEA.941886
Related Identifier IsVariantFormOf https://doi.org/10.1594/PANGAEA.941873
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.941335
Provenance
Creator Beck, Ivo ORCID logo; Quéléver, Lauriane ORCID logo; Laurila, Tiia; Jokinen, Tuija ORCID logo; Baccarini, Andrea (ORCID: 0000-0003-4614-247X); Angot, Hélène ORCID logo; Schmale, Julia ORCID logo
Publisher PANGAEA
Publication Year 2022
Funding Reference Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AFMOSAiC-1_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven https://doi.org/10.13039/501100003207 Crossref Funder ID AWI_PS122_00 Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC; Swiss National Science Foundation https://doi.org/10.13039/501100001711 Crossref Funder ID 188478 https://data.snf.ch/grants/grant/188478 Measurement-Based understanding of the aeRosol budget in the Arctic and its Climate Effects (MBRACE); Swiss Polar Institute https://doi.org/10.13039/501100015594 Crossref Funder ID DIRCR-2018-004
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 1007552 data points
Discipline Earth System Research
Spatial Coverage (-176.209W, 53.559S, 174.435E, 90.000N); Arctic Ocean; North Greenland Sea
Temporal Coverage Begin 2019-10-01T00:00:00Z
Temporal Coverage End 2020-10-12T05:59:00Z