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  Assessment of cloud supersaturation by size-resolved aerosol particle and cloud condensation nuclei (CCN) measurements

Krüger, M. L., Mertes, S., Klimach, T., Cheng, Y. F., Su, H., Schneider, J., et al. (2014). Assessment of cloud supersaturation by size-resolved aerosol particle and cloud condensation nuclei (CCN) measurements. Atmospheric Measurement Techniques, 7(8), 2615-2629. doi:10.5194/amt-7-2615-2014.

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Krüger, M. L.1, Author           
Mertes, S.2, Author
Klimach, T.3, Author           
Cheng, Y. F.1, Author           
Su, H.1, Author           
Schneider, J.3, Author           
Andreae, M. O.4, Author           
Pöschl, U.1, Author           
Rose, D.1, Author           
Affiliations:
1Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826290              
2external, ou_persistent22              
3Particle Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826291              
4Biogeochemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826286              

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 Abstract: In this study we show how size-resolved measurements of aerosol particles and cloud condensation nuclei (CCN) can be used to characterize the supersaturation of water vapor in a cloud. The method was developed and applied during the ACRIDICON-Zugspitze campaign (17 September to 4 October 2012) at the high-Alpine research station Schneefernerhaus (German Alps, 2650ma.s.l.). Number size distributions of total and interstitial aerosol particles were measured with a scanning mobility particle sizer (SMPS), and size-resolved CCN efficiency spectra were recorded with a CCN counter system operated at different supersaturation levels. During the evolution of a cloud, aerosol particles are exposed to different supersaturation levels. We outline and compare different estimates for the lower and upper bounds (Slow, Shigh) and the average value (S-avg) of peak supersaturation encountered by the particles in the cloud. A major advantage of the derivation of Slow and S-avg from size-resolved CCN efficiency spectra is that it does not require the specific knowledge or assumptions about aerosol hygroscopicity that are needed to derive estimates of S-low, S-high, and S-avg from aerosol size distribution data. For the investigated cloud event, we derived S-low approximate to 0.07-0.25 %, S-high approximate to 0.86-1.31% and S-avg approximate to 0.42-0.68 %.

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 Dates: 2014
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: ISI: 000341605200015
DOI: 10.5194/amt-7-2615-2014
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Title: Atmospheric Measurement Techniques
  Abbreviation : AMT
Source Genre: Journal
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Publ. Info: Göttingen : European Geosciences Union, Copernicus
Pages: - Volume / Issue: 7 (8) Sequence Number: - Start / End Page: 2615 - 2629 Identifier: Other: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381