Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Schmale, Julia (2022): Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941886
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
This dataset contains corrected particle number concentration data measured during the year long MOSAiC expedition from October 2019 to September 2020. The measurement was performed in the Swiss aerosol container on the D-deck of Research Vessel Polarstern using an inlet with an upper cut-off of 1 µm (called also interstitial inlet). Data were collected by a Condensation Particle Counter (CPC) model 3025 (TSI Inc.) in 10 s resolution with a lower cut-off diameter of 3 nm. More detailed information about its position and the measurement setup can be found in (Beck et al., 2022). The data are cleaned from calibration and zero-check filter periods and the time-stamps of all data points was synchronized to its closest 10 s interval. Some periods of the measurements were corrected for a step in the signal (see file description).
Participation of the Swiss Container was co-financed by the Swiss Polar Institute and University of Helsinki.
Related to:
Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel-Beer, Martin; Petäjä, Tuukka; Wang, Jian; Schmale, Julia (2022): Automated identification of local contamination in remote atmospheric composition time series. Atmospheric Measurement Techniques, 15(14), 4195-4224, https://doi.org/10.5194/amt-15-4195-2022
Other version:
Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Baccarini, Andrea; Angot, Hélène; Schmale, Julia (2022): Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020. PANGAEA, https://doi.org/10.1594/PANGAEA.941335
Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Schmale, Julia (2022): Continuous raw particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020. PANGAEA, https://doi.org/10.1594/PANGAEA.941873
Further details:
Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672
Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678
Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669
Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830
Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911
Project(s):
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Swiss National Science Foundation (SNF), grant/award no. 188478: Measurement-Based understanding of the aeRosol budget in the Arctic and its Climate Effects (MBRACE)
Coverage:
Median Latitude: 85.096514 * Median Longitude: 61.128245 * South-bound Latitude: 78.111666 * West-bound Longitude: -179.350610 * North-bound Latitude: 89.999845 * East-bound Longitude: 179.068221
Date/Time Start: 2019-10-01T00:00:10 * Date/Time End: 2020-09-30T23:59:00
Minimum Elevation: -4412.4 m * Maximum Elevation: -214.0 m
Event(s):
PS122/1_1-78 * Latitude Start: 82.063496 * Longitude Start: 119.285024 * Latitude End: 86.593190 * Longitude End: 119.241500 * Date/Time Start: 2019-09-26T20:00:00 * Date/Time End: 2019-12-13T09:04:45 * Elevation: -4187.4 m * Sensor URI: sensor.awi.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Condensation particle counter (CPC)
PS122/2_14-35 * Latitude: 86.593231 * Longitude: 119.237001 * Date/Time: 2019-12-13T09:11:00 * Elevation: -4401.7 m * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Condensation particle counter (CPC) * Comment: Recording continued from Leg 1
PS122/3_28-30 * Latitude: 88.591064 * Longitude: 55.585638 * Date/Time: 2020-02-24T09:00:00 * Elevation: -4412.4 m * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: PS122/3 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Condensation particle counter (CPC) * Comment: continue recording
Comment:
Some periods of the measurements were affected by repeated step changes in the particle number concentrations. This was caused by a valve, which was positioned in the line behind (downstream) the CPC and switched between a total air inlet and an interstitial inlet. During odd hours (i.e. 1 am, 3 am etc.) the valve was open to the interstitial inlet, during even hours to the total inlet. During the affected periods (less than ten periods with a duration of less than 12 hours, except for a three-day period from Dec. 08, 2019 to Dec. 10, 2019), the measured particle number concentrations behind the interstitial inlet are lower compared to the previous and the following hour behind the total inlet. To correct for these step changes in concentration, we calculated two correction factors, i.e. at the beginning and at the end of the affected period. The two correction factors are derived by dividing the median particle number concentrations of 3 minutes before (after) the start (end) of the affected period by the median particle number concentration of 3 minutes after (before) the start (end) of the affected period. Each data point of the affected period was then corrected by multiplying its particle number concentration by the linearly interpolated correction factor at the corresponding timestamp. The corrected data set may still contain minor artefacts related to the step change correction, i.e. small deviations of the number concentration in the order of < 10 %. The counting uncertainty of a CPC is nominally 10 %. Depending on how the dataset is used this might be relevant or not.
The dataset has a time resolution of 10 sec. More detailed information about the measurement setup can be found in (Beck et al., in prep.). The data columns include Time, Latitude, Longitude, Particle number concentration and a correction flag (0=uncorrected, 1 = corrected).
We used 10 sec time resolution positional data from the following datasets: Rex, M (2020), Haas, C (2020), Kanzow, T (2020), Rex, M (2021a,b).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Schmale, Julia | |||
| 2 | DATE/TIME | Date/Time | Schmale, Julia | Geocode | ||
| 3 | LATITUDE | Latitude | Schmale, Julia | Geocode | ||
| 4 | LONGITUDE | Longitude | Schmale, Julia | Geocode | ||
| 5 | Particle number | CP_conc | #/cm3 | Schmale, Julia | Condensation particle counter (CPC) | |
| 6 | Flag, correction | Flag corr | Schmale, Julia | 1 = corrected |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 2 (ProcLevel2)
Size:
5910981 data points
Download Data
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