Size-dependent activation of aerosols into cloud droplets at a subarctic background site during the second Pallas Cloud Experiment (2nd PaCE): Method development and data evaluation

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Abstract

In situ measurements of aerosol water uptake and activation of aerosols into cloud droplets provide information on how aerosols influence the microphysical properties of clouds. Here we present a computational scheme that can be used in connection with such measurements to assess the influence of the particle hygroscopicity and mixing state (in terms of the water uptake) on the cloud nucleating ability of particles. Additionally, it provides an estimate for the peak supersaturation of water vapour reached during the formation of the observed cloud(s). The method was applied in interpreting results of a measurement campaign that focused on aerosol-cloud interactions taking place at a subarctic background site located in Northern Finland (second Pallas Cloud Experiment, 2nd PaCE). A set of case studies was conducted, and the observed activation behavior could be successfully explained by a maximum supersaturation that varied between 0.18 and 0.26% depending on the case. In these cases, the diameter corresponding to the activated fraction of 50% was in the range of 110-140 nm, and the particles were only moderately water soluble with hygroscopic growth factors varying between 1.1 and 1.4. The conducted analysis showed that the activated fractions and the total number of particles acting as CCN are expected to be highly sensitive to the particle hygroscopic growth properties. For example, the latter quantity varied over a factor between 1.8 and 3.1, depending on the case, when the mean hygroscopic growth factors were varied by 10%. Another important conclusion is that size-dependent activation profiles carries information on the mixing state of particles. © 2009 Author(s).

Figures

  • Fig. 1. Example trajectories for marine (left), continental (middle) and mixed (right) air masses Location of the measurement site is indicated using a star.
  • Table 1. General features of the analyzed cloud events. Here Ntot and Nacc denote the total and accumulation mode particle concentrations, respectively, Atot and Aacc denote the total number of activated particles and the number of activated accumulation mode particles, respectively, and D50 is the diameter corresponding to the 50% activation efficiency. Shown are also ambient temperature (T ), wind speed (W), and the estimated peak supersaturation (smax).
  • Fig. 3. The mean hygroscopic growth factors and their geometric standard deviation (GSD) based on the observed distributions (open and solid symbols, respectively) and the corresponding fits (dashed and solid lines, respectively).
  • Table 2. Hygroscopic growth factors of 50–150 nm particles for the four analyzed cloud cases.
  • Fig. 2. The total and interstitial particle number size distribution (solid and dashed lines, respectively) for each analyzed cloud event. Please note the use of the logarithmic scales.
  • Fig. 4. The measured fractions of activated particles (symbols) and the predicted activated fractions (solid lines) for the considered cases. Th error bars are based on the size-segregated c ncentration difference observed between the DMPSs measuring at different inlets during the non-cloudy period prior and after the cloud event. Also shown are the estimated maximum supersaturations and predicted number of cloud droplets for each case.
  • Fig. 5. The influence of size-averaging the particle hygroscopic properties on the particle activation for the case A. The measurements are displayed with symbols and the calculations are showed with lines as indicated in the legend.
  • Table 3. The total number of activated particles in different sensitivity scenarios and cases.

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APA

Anttila, T., Vaattovaara, P., Komppula, M., Hyvärinen, A. P., Lihavainen, H., Kerminen, V. M., & Laaksonen, A. (2009). Size-dependent activation of aerosols into cloud droplets at a subarctic background site during the second Pallas Cloud Experiment (2nd PaCE): Method development and data evaluation. Atmospheric Chemistry and Physics, 9(14), 4841–4854. https://doi.org/10.5194/acp-9-4841-2009

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