TY  - JOUR
A1  - Krüger, Mira L.
A1  - Mertes, Stephan
A1  - Klimach, Thomas
A1  - Cheng, Ya F.
A1  - Su, Hang
A1  - Schneider, Johannes
A1  - Andreae, Meinrat O.
A1  - Pöschl, Ulrich
A1  - Rose, Diana
T1  - Assessment of cloud supersaturation by size-resolved aerosol particle and cloud condensation nuclei (CCN) measurements
T2  - Atmospheric measurement techniques
N2  - 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.
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 (Savg) of peak supersaturation encountered by the particles in the cloud. A major advantage of the derivation of Slow and Savg 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 Slow, Shigh, and Savg from aerosol size distribution data. For the investigated cloud event, we derived Slow ≈ 0.07–0.25%, Shigh ≈ 0.86–1.31% and Savg ≈ 0.42–0.68%.
Y1  - 2014
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/37229
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-372299
SN  - 1867-8548
SN  - 1867-1381
N1  - © Author(s) 2014. This work is distributed under the Creative Commons Attribution 3.0 License.
VL  - 7
IS  - 8
SP  - 2615
EP  - 2629
PB  - Copernicus Publ.
CY  - Göttingen
ER  -