Aerosol particle number size distribution data collected during the Arctic Ocean 2018 expedition
Linn Karlsson, Paul Zieger
Aerosol particle number size distributions in the size range 10 – 921 nm were measured with a custom built differential mobility particle sizer (DMPS) which uses a mixing condensation particle counter (MCPC; Model 1720 from Brechtel Manufacturing Inc., USA). An additional MCPC 1720 was measuring the total particle number concentration.
Atmospheric aerosol particles affect climate by scattering and absorbing solar radiation and by modifying cloud properties. The particle size distribution is an important parameter that determines for example the atmospheric residence time, the optical properties, and the interaction with atmospheric water (cloud activation).
Measurements were performed on the 4th deck of icebreaker Oden during August and September 2018 along the track of the Arctic Ocean 2018 expedition.
AtmosphereAerosolsAerosol physical propertiesAerosolsAO2018Arctic OceanIcebreaker OdenAtmosphereArctic Ocean 2018 Atmospheric ScienceAtmospheric ChemistryAtmospheric PhysicsCloudsAerosol ScienceMicrobiology-Ocean-Cloud-Coupling in the High ArcticMOCCHAHigh ArcticNorth PoleAerosol-Cloud-Interaction 2018Neutral cluster and air ion spectrometerNAISUltrafine particlesIonsIon induced nucleationNew particle formation
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References
Baccarini A, Karlsson L, Dommen J, Duplessis P, Vüllers J, Brooks IM, Saiz-Lopez A, Salter M, Tjernström M, Baltensperger U, Zieger P, Schmale J (2020) Frequent new particle formation over the high Arctic pack ice by enhanced iodine emissions. Nature Communications 11:4924. https://doi.org/10.1038/s41467-020-18551-0
von der Weiden S-L, Drewnick F, Borrmann S (2009) Particle Loss Calculator – a new software tool for the assessment of the performance of aerosol inlet systems. Atmos. Meas. Tech. 2:479 – 494. https://doi.org/10.5194/amt-2-479-2009
Data description
Aerosol particle number size distributions in the size range 10 – 921nm, measured with a DMPS at a time resolution of 9 minutes per scan across 27 size bins.
File type: CSV (1 file, ~3MB)
File structure and contents:
- Column 1: Time (midpoint of scan) in UTC, format yyyy-mm-dd HH:MM:SS
- Column 2: Total number concentration (measured by MCPC) in particles per cubic centimeter
- Column 3 – 30: Number concentration, dN/dlogD per cubic centimeter at bin midpoint diameters (electrical mobility diameter)
The size distribution data have been corrected for losses due to diffusion, impaction and sedimentation using the Particle Loss Calculator (von der Weiden et al. 2009) assuming spherical particles with a density of 1 gcm⁻³. Note that periods with the possible influence of ship pollution are included as reliable data and are not removed.
Comments
The ship track with latitude and longitude information can be found in the Navigation, meteorological and surface seawater data from the Arctic Ocean 2018 expedition data set.
The data creator ORCIDs are the following:
- Paul Zieger: https://orcid.org/0000-0001-7000-6879
- Linn Karlsson: https://orcid.org/0000-0003-0885-7650
Data were collected during the Arctic Ocean 2018 expedition on board the Swedish icebreaker (I/B) Oden, which was organized by the Swedish Polar Research Secretariat. The observations were part of the project 'Aerosol-cloud interactions in the High Arctic' (PI Paul Zieger, Department of Environmental Science, Stockholm University; see MOCCHA project website with updates).
Project
Arctic Ocean 2018. The 'Aerosol-cloud interactions in the High Arctic' project during the Arctic Ocean 2018 expedition was supported by the Knut-and-Alice-Wallenberg Foundation within the ACAS project (Arctic Climate Across Scales, project no. 2016.0024), the Bolin Centre for Climate Research (RA2), and the Swedish Research Council (project no. 2018-05045).
Publisher
Bolin Centre Database
License
First name
Paul
Last name or organisation
Zieger
Email address
Address
Department of Environmental Science (ACES), Atmospheric Science Unit; Stockholm University
Postal code
SE-106 91
City
Stockholm
Country
Sweden
GCMD science keyword
Earth science > Atmosphere
GCMD location
Ocean > Arctic Ocean
Dataset language
English
Begin date
2018-08-02
End date
2018-09-19