Beck, Ivo; Moallemi, Alireza; Rolo, Margarida; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Schmale, Julia (2023): Wideband integrated bioaerosol sensor (WIBS) excited particle normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961125, In: Beck, I et al. (2023): Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.961065
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Abstract:
These datasets contain normalized size distributions (dN/dlogDp) of excited particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are split into 20 size bins: 0.5 - 0.6 μm, 0.6 - 0.72 μm, 0.72 - 0.87 μm, 0.87 - 1.05 μm, 1.05 - 1.26 μm, 1.26 - 1.51 μm, 1.51 - 1.82 μm, 1.82 - 2.19 μm, 2.19 - 2.63 μm, 2.63 - 3.16 μm, 3.16 - 3.8 μm, 3.8 - 4.57 μm, 4.57 - 5.5 μm, 5.5 - 6.61 μm, 6.61 - 7.95 μm, 7.95 - 9.56 μm, 9.56 - 11.50 μm, 11.5 - 13.83 μm, 13.83- 16.63 μm and 16.63 - 20 μm. The data were measured by a WIBS-NEO (Wideband Integrated Bioaerosol Sensor, model New Electronics option) by droplet measurement techniques ltd. The data were processed using the IGOR WIBS toolkit V1.36 (DMT) and python version 3.9.7. These datasets have been averaged to 1 hour time resolution. The datasets were cleaned from local pollution sources by applying a pollution flag developed by Beck et al. (2022a,b), which is based on the rate of change in particle number concentration with 1 min time resolution. Data points with more than 10 polluted minutes within an hour were removed from the WIBS datasets. Time periods with zero filter measurements and time periods with unstable flow that affected number concentrations have been removed from the dataset.
Source:
Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672 (1 min time resolution positional data)
Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678 (1 min time resolution positional data)
Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669 (1 min time resolution positional data)
Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830 (1 min time resolution positional data)
Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911 (1 min time resolution positional data)
References:
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 (Beck et al. 2022a)
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 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941335 (Beck et al. 2022b)
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
Horizon 2020 (H2020), grant/award no. 101003826: Climate Relevant interactions and feedbacks: the key role of sea ice and Snow in the polar and global climate system
Swiss National Science Foundation (SNF), grant/award no. 188478: Measurement-Based understanding of the aeRosol budget in the Arctic and its Climate Effects (MBRACE)
United States Department of Energy, Atmospheric Systems Research Program, grant/award no. DE-SC0022046: Closing the gap on understudied aerosol-climate processes in the rapidly changing central Arctic
Coverage:
Median Latitude: 85.619174 * Median Longitude: 74.435710 * South-bound Latitude: 78.113671 * West-bound Longitude: -145.021823 * North-bound Latitude: 89.994623 * East-bound Longitude: 136.967160
Date/Time Start: 2019-10-01T00:00:00 * Date/Time End: 2020-09-30T23:00:00
Minimum Elevation: -4412.4 m * Maximum Elevation: -214.0 m
Event(s):
PS122/1_1-86 * 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 * O2A Registry URI: registry.o2a-data.de * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Wideband integrated bioaerosol sensor (WIBS)
PS122/2_14-275 * Latitude: 86.593231 * Longitude: 119.237001 * Date/Time: 2019-12-13T09:11:00 * Elevation: -4401.7 m * O2A Registry URI: registry.o2a-data.de * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Wideband integrated bioaerosol sensor (WIBS) * Comment: Recording continued from Leg 1
PS122/3_28-40 * Latitude: 88.591064 * Longitude: 55.585638 * Date/Time: 2020-02-24T09:00:00 * Elevation: -4412.4 m * O2A Registry URI: registry.o2a-data.de * Location: Arctic Ocean * Campaign: PS122/3 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Wideband integrated bioaerosol sensor (WIBS) * Comment: continue recording
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 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 0.50-0.60μm |
6 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 0.60-0.72μm |
7 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 0.72-0.87μm |
8 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 0.87-1.05μm |
9 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 1.05-1.26μm |
10 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 1.26-1.51μm |
11 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 1.51-1.82μm |
12 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 1.82-2.19μm |
13 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 2.19-2.63μm |
14 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 2.63-3.16μm |
15 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 3.16-3.80μm |
16 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 3.80-4.57μm |
17 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 4.57-5.50μm |
18 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 5.50-6.61μm |
19 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 6.61-7.95μm |
20 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 7.95-9.56μm |
21 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 9.56-11.50μm |
22 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 11.50-13.83μm |
23 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 13.83-16.63μm |
24 | Log-normal particle size distribution, excited | dN/dlogDp exc | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | 16.63-20.00μm |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
53540 data points
Download Data
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