Patrick Duplessis, Rachel Y.-W. Chang, Michael Wheeler, Richard Leaitch, Birgitta Svenningsson, Linn Karlsson, Paul Zieger
Measurements of cloud condensation nuclei concentrations in the whole-air sampling inlet (WAI) and the cloud residuals inlet (CVI), using two Cloud Condensation Nuclei Counters (CCNC, Droplet Measurement Technologies, CCN-100). The instruments were calibrated before and after the campaign using ammonium sulfate, and the supersaturation was adjusted accordingly.
This dataset is highly valuable to estimate the hygroscopicity of ambient aerosols and droplet residuals. It can also be used to estimate the maximum supersaturation during cloud formation.
Measurements were performed on the 4th deck of icebreaker Oden during August and September 2018 along the track of the expedition. The instruments scanned through five supersaturation settings of nominal values from 0.1% to 1%. Concentrations are reported as droplets per cubic centimetre, at a 12-minute time resolution (one value per supersaturation per hour).
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Citation
Patrick Duplessis, Rachel Y.-W. Chang, Michael Wheeler, Richard Leaitch, Birgitta Svenningsson, Linn Karlsson, Paul Zieger (2023) Cloud condensation nuclei (CCN) concentration during the Arctic Ocean 2018 expedition. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/oden-ao-2018-ccnc-1
References
Rose, D., Gunthe, S. S., Mikhailov, E., Frank, G. P., Dusek, U., Andreae, M. O., & Pöschl, U. (2008). Calibration and measurement uncertainties of a continuous-flow cloud condensation nuclei counter (DMT-CCNC): CCN activation of ammonium sulfate and sodium chloride aerosol particles in theory and experiment. Atmospheric Chemistry and Physics, 8(5), 1153–1179. https://doi.org/10.5194/acp-8-1153-2008
Roberts, G. C., & Nenes, A. (2005). A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements. Aerosol Science and Technology, 39(3), 206–221. https://doi.org/10.1080/027868290913988
Karlsson, L., Baccarini, A., Duplessis, P., Baumgardner, D., Brooks, I. M., Chang, R. Y. W., ... & Zieger, P. (2022). Physical and chemical properties of cloud droplet residuals and aerosol particles during the Arctic Ocean 2018 expedition. Journal of Geophysical Research: Atmospheres, 127(11). https://doi.org/10.1029/2021JD036383
Data description
Data from the whole-air inlet (WAI) and residual inlet (CVI) are separated in two respective files:
CCNC_WAI.csv
CCNC_CVI.csv
The raw data were collected at 1 Hz frequency and then averaged over the period of stable supersaturation. The first 5 minutes of data following the change from maximum to minimum supersaturation was excluded from the average, and the first 2 minutes following the other four saturation changes were excluded.
Timestamp [UTC]
Datetime is reported in the UTC time zone.
Supersaturation [%]
Supersaturation, in %.
CCN concentration [cm-3]
is the CCN concentration, in unit per cm³. The measurement uncertainty is estimated to be approximately 5 % on CCN concentration, and 0.01 % on supersaturation.
clean data [1], contaminated data [0]
is a flag to separate between clean data and data that are potentially influenced by the ship exhaust: 1 indicates clean data and 0 contaminated data. NaN values indicate unavailable data due to various causes specific to the instrument, including calibration, maintenance, or failure.
Comments
More information on the CVI measurements can be found in Karlsson et al. (2022).
GCMD science keywords
Earth science > Atmosphere > Aerosols > Cloud condensation nuclei
GCMD location
Ocean > Arctic Ocean
Project
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 (https://polarforskningsportalen.se/en/arctic/expeditions/arctic-ocean-2018). The observations were part of the project 'Aerosol-cloud interactions in the High Arctic' (PI Paul Zieger, Stockholm University; project website with updates: https://www.aces.su.se/research/projects/microbiology-ocean-cloud-coupling-in-the-high-arctic-moccha/). This work was supported by the Natural Sciences and Engineering Research Council of Canada (RGPIN-2014-05173); the Canadian Transatlantic Ocean System Science & Technology (TOSST) program; the Ocean Frontier Institute, through an award from the Canada First Research Excellence Fund, the Knut-and-Alice-Wallenberg Foundation within the ACAS project (project no. 2016.0024), the Bolin Centre for Climate Research (RA2), the Swedish Research Council (project no. 2018-05045, 2016-03518, 201605100).
Publisher
Bolin Centre Database
Use limitations
The data is free of use. The authors would highly appreciate to be contacted if the is used in further publications.
DOI
10.17043/oden-ao-2018-ccnc-1
Published
2023-11-30 14:55:25