Atmospheric aerosol major ion composition and cloud condensation nuclei over the northeast Atlantic

1996 ◽  
Vol 101 (D2) ◽  
pp. 4425-4434 ◽  
Author(s):  
Roy M. Harrison ◽  
John D. Peak ◽  
Andrew D. Kaye
Keyword(s):  
Atmospheric Aerosol ◽  
Cloud Condensation Nuclei ◽  
Ion Composition ◽  
Condensation Nuclei ◽  
Northeast Atlantic ◽  
Major Ion

scholarly journals Subarctic atmospheric aerosol composition: 3. Measured and modeled properties of cloud condensation nuclei

2010 ◽  
Vol 115 (D4) ◽  
Author(s):  
Lukas Kammermann ◽  
Martin Gysel ◽  
Ernest Weingartner ◽  
Hanna Herich ◽  
Daniel J. Cziczo ◽  
...  
Keyword(s):  
Atmospheric Aerosol ◽  
Cloud Condensation Nuclei ◽  
Condensation Nuclei ◽  
Aerosol Composition

scholarly journals Versatile Aerosol Concentration Enrichment System (VACES) operating as a Cloud Condensation Nuclei (CCN) concentrator. Development and laboratory characterization

2019 ◽  
Author(s):  
Carmen Dameto de España ◽  
Gerhard Steiner ◽  
Harald Schuh ◽  
Constantinos Sioutas ◽  
Regina Hitzenberger
Keyword(s):  
Particle Size ◽  
Atmospheric Aerosol ◽  
Continuous Flow ◽  
Cloud Condensation Nuclei ◽  
Aerosol Particles ◽  
Meteorological Conditions ◽  
Condensation Nuclei ◽  
Laboratory Characterization ◽  
Condenser Temperature ◽  
Original Size

Abstract. The ability of atmospheric aerosol particles to act as cloud condensation nuclei (CCN) depends on many factors, including particle size, chemical composition, and meteorological conditions. To expand our knowledge on CCN, it is essential to understand the factors leading to CCN activation. For this purpose a versatile aerosol concentrator enrichment system (VACES) has been modified to select CCN at different supersaturations. The VACES enables to sample CCN particles without altering their chemical and physical properties. The redesigned VACES enriches CCN particles by first passing the aerosol flow to a new saturator and then to a condenser. The activated particles are concentrated by an inertial virtual impactor, and then can be returned to their original size by diffusion-drying. For the calibration, the saturator temperature was fixed at 52 °C and the condenser temperature range was altered from 5 °C to 25 °C to obtain activation curves for NaCl particles of different sizes. Critical water vapour supersaturations can be calculated using the 50 % cutpoint of these curves. Calibration results have also shown that CCN concentrations can be enriched by a factor of approx. 17, which is in agreement with the experimentally determined enrichment factor of the original VACES. The advantage of the re-designed VACES over conventional CCN counters (both static and continuous flow instruments) lies in the substantial enrichment of activated CCN which facilitates further chemical analysis.

scholarly journals Subpollen particles as atmospheric cloud condensation nuclei

2019 ◽  
Vol 55 (4) ◽  
pp. 64-72
Author(s):  
E. F. Mikhailov ◽  
O. A. Ivanova ◽  
E. Yu. Nebosko ◽  
S. S. Vlasenko ◽  
T. I. Ryshkevich
Keyword(s):  
Atmospheric Aerosol ◽  
Size Range ◽  
Cloud Condensation Nuclei ◽  
Pollen Grains ◽  
Submicron Particles ◽  
Liquid Droplets ◽  
Condensation Nuclei ◽  
Condensation Activity ◽  
Cloud Activation ◽  
Plant Pollen

Bioparticles represent a significant fraction of the total atmospheric aerosol. Their size range varies from nanometers (macromolecules) to hundreds of micrometers (plant pollen, vegetation residues) and like other atmospheric aerosol particles, the degree of involvement of bioaerosols in atmospheric processes largely de- pends on their hygroscopic and cloud condensation nuclei properties. In this paper the ability of the pine, birch and rape subpollen particles to act as cloud condensation nuclei are considered. Submicron particles were obtained by aqueous extraction of biological material from pollen grains and subsequent solidification of the atomized liquid droplets. The parameters of cloud activation are determined in the size range of 20-270 nm in the range of water vapor supersaturations 0.1-1.1%. Based on experimental results, the hygroscopicity parameter, characterizing the effect of the chemical composition of the subparticles on their con- densation properties, is determined. The range of the hygroscopic parameter changes was 0.12-0.13. In general, the results of measurements showed that the condensation activity of the subpollen particles is comparable with the condensation activity of secondary organic aerosols and weakly depends on the type of the primary pollen.

scholarly journals The impact of aerosol size-dependent hygroscopicity and mixing state on the cloud condensation nuclei potential over the Northeast Atlantic

2021 ◽  
Author(s):  
Wei Xu ◽  
Kirsten N. Fossum ◽  
Jurgita Ovadnevaite ◽  
Chunshui Lin ◽  
Ru-Jin Huang ◽  
...  
Keyword(s):  
Biological Activity ◽  
Chemical Composition ◽  
Growth Factor ◽  
Cloud Condensation Nuclei ◽  
Condensation Nuclei ◽  
Mixing State ◽  
Northeast Atlantic ◽  
Size Dependent ◽  
Internal Mixing ◽  
The Impact

Abstract. We present an aerosol cloud condensation nuclei (CCN) closure study over the Northeast Atlantic Ocean using six approximating methods. The CCN number concentrations (NCCN) were measured at four discrete super-saturations (SS, 0.25, 0.5, 0.75 and 1.0 %). Concurrently, aerosol number size distribution, sub-saturation hygroscopic growth factor and bulk PM1 chemical composition were obtained at matching time resolution and after a careful data validation exercise. Method A used a constant bulk hygroscopicity parameter κ of 0.3; method B used bulk PM1 chemical composition measured by an aerosol mass spectrometer (AMS); method C and D utilized a single size (165 nm) growth factor (GF) measured by humidified tandem differential mobility analyzer (HTDMA); method C utilized size-dependent GFs measured at 35, 50, 75, 110 and 165 nm; method E divided the aerosol population into three hygroscopicity modes (near-hydrophobic, more-hygroscopic and sea-salt modes) and the total CCN number in each mode was cumulatively added up; method F used the full size scale GF probability density function (GF-PDF) in the most complex approach. The studied periods included high biological activity and low biological activity seasons in clean marine and polluted continental air masses to represent and discuss the most contrasting aerosol populations. Overall, a good agreement was found between estimated and measured NCCN with a linear regression slopes ranging from 0.64 and 1.6. The temporal variability was captured very well with Pearson's R value ranging from 0.76 to 0.98 depending on the method and air mass type. We further compared the results of using different methods to quantify the impact of size-dependent hygroscopicity and mixing state and found that ignoring size-dependent hygroscopicity induced overestimation of NCCN by up to 12 %, and ignoring a mixing state induced overestimation of NCCN by up to 15 %. The error induced by assuming an internal mixing in highly polluted cases was largely eliminated by dividing the full GF-PDf into three conventional hygroscopic modes while assuming an internal mixing in clean marine aerosol did not induced significant error.

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