Assessment of cloud supersaturation by size-resolved aerosol particle and cloud condensation nuclei (CCN) measurements
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 th...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-08-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | http://www.atmos-meas-tech.net/7/2615/2014/amt-7-2615-2014.pdf |
Summary: | 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, 2650 m a.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.
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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 (<i>S</i><sub>low</sub>, <i>S</i><sub>high</sub>) and the average value
(<i>S</i><sub>avg</sub>) of peak supersaturation encountered by the particles in the
cloud. A major advantage of the derivation of <i>S</i><sub>low</sub> and <i>S</i><sub>avg</sub> 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 <i>S</i><sub>low</sub>, <i>S</i><sub>high</sub>, and <i>S</i><sub>avg</sub> from aerosol
size distribution data. For the investigated cloud event, we derived
<i>S</i><sub>low</sub> ≈ 0.07–0.25%, <i>S</i><sub>high</sub> ≈ 0.86–1.31% and <i>S</i><sub>avg</sub> ≈ 0.42–0.68%. |
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ISSN: | 1867-1381 1867-8548 |