Citation:

PANGAEA.961065

Name: Wideband integrated bioaerosol sensor (WIBS) fluorescent particle number concentrations measured in the Swiss container during MOSAiC 2019/2020
Published: 2023-07-27
License: https://creativecommons.org/licenses/by/4.0/
Keywords: aerosol; Arctic aerosol; fluorescent aerosols; MOSAiC_ATMOS

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Abstract:

These datasets contain the total particle number concentrations of 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).

Keyword(s):

aerosol; Arctic aerosol; fluorescent aerosols; MOSAiC_ATMOS

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) [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)

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):

Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC)

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)

Swiss Polar Institute (SPI), grant/award no. DIRCR-2018-004

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: (MOSAiC20192020) * Basis: * 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: (MOSAiC20192020) * Basis: * 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: (MOSAiC20192020) * Basis: * 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, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)
6	Particle number, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)	type A
7	Particle number, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)	type B
8	Particle number, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)	type C
9	Particle number, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)	type AB
10	Particle number, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)	type AC
11	Particle number, fluorescent	CP fl	#/cm³	Schmale, Julia	Wideband integrated bioaerosol sensor (WIBS)	type BC
12	Particle number, fluorescent	CP 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

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