Beck, Ivo; Moallemi, Alireza; Rolo, Margarida; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Schmale, Julia (2023): Wideband integrated bioaerosol sensor (WIBS) hyper-fluorescent particle number concentrations measured in the Swiss container during MOSAiC 2019/2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961123, 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 the total particle number concentrations of hyper-fluorescent particles of sizes 0.5 to 20 μm (optical diameter). The WIBS measures the size, asymmetry and fluorescence of particles with an optical diameter of 0.5 – 20 µm. Detected particles are excited by two UV flashlamps at wavelengths of 280 and 370 nm and their emitted fluorescence is measured by two photomultipliers with bandwidths of 310 - 400 nm, and 420 - 650 nm. The WIBS counts excited particles at a maximum frequency of 125 Hz, which corresponds to a maximum concentration of 2.5*104 particles/L with a sample flow of 0.3 L/min. Excited particles were classified as fluorescent if their fluorescent intensity exceeded the background intensity by three standard deviations (3σ) and as hyper-fluorescent if the fluorescent intensity exceeded the background intensity by 9σ. Excited particles with a lower fluorescent intensity were considered to be non-fluorescent. The background fluorescence was determined by measuring the fluorescent signal in the measurement chamber in absence of particles. Background measurements were performed every 26 h. The combination of two excitation wavelengths and two detector wavebands allows the classification of fluorescent particles into seven types: A, B, C, AB, AC, BC, and ABC (Perring et al. (2015); Savage et al. (2017)). For further information about the instrumental setup, refer to Heutte et al. (Submitted).
Related to:
Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC.
Source:
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 (1 min time resolution positional data)
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 (1 min time resolution positional data)
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 (1 min time resolution positional data)
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 (1 min time resolution positional data)
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 (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. PANGAEA, https://doi.org/10.1594/PANGAEA.941335 (Beck et al. 2022b)
Perring, A E; Schwarz, J P; Baumgardner, D; Hernandez, M T; Spracklen, D V; Heald, C L; Gao, R S; Kok, G; McMeeking, G R; Mcquaid, Jeffrey B; Fahey, D W (2015): Airborne observations of regional variation in fluorescent aerosol across the United States. Journal of Geophysical Research: Atmospheres, 120(3), 1153-1170, https://doi.org/10.1002/2014JD022495
Savage, Nicole J; Krentz, Christine E; Könemann, Tobias; Han, Taewon T; Mainelis, Gediminas; Pöhlker, Christopher; Huffman, J Alex (2017): Systematic characterization and fluorescence threshold strategies for the wideband integrated bioaerosol sensor (WIBS) using size-resolved biological and interfering particles. Atmospheric Measurement Techniques, 10(11), 4279-4302, https://doi.org/10.5194/amt-10-4279-2017
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 * Sensor URI: sensor.awi.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 * Sensor URI: sensor.awi.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 * Sensor URI: sensor.awi.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 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | |
| 6 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type A |
| 7 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type B |
| 8 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type C |
| 9 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type AB |
| 10 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type AC |
| 11 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type BC |
| 12 | Particle number, hyper-fluorescent | CP h-fl | #/cm3 | Schmale, Julia | Wideband integrated bioaerosol sensor (WIBS) | type ABC |
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:
21416 data points
Download Data
View dataset as HTML (shows only first 2000 rows)