Development of the DRoplet Ice Nuclei Counter Zurich (DRINCZ): validation and application to field-collected snow samples
-
Published:2019-12-20
Issue:12
Volume:12
Page:6865-6888
-
ISSN:1867-8548
-
Container-title:Atmospheric Measurement Techniques
-
language:en
-
Short-container-title:Atmos. Meas. Tech.
Author:
David Robert O.ORCID, Cascajo-Castresana MariaORCID, Brennan Killian P., Rösch Michael, Els Nora, Werz Julia, Weichlinger Vera, Boynton Lin S., Bogler Sophie, Borduas-Dedekind NadineORCID, Marcolli ClaudiaORCID, Kanji Zamin A.ORCID
Abstract
Abstract. Ice formation in the atmosphere is important for regulating cloud lifetime, Earth's radiative balance and initiating precipitation. Due to the difference in the saturation vapor pressure over ice and water, in mixed-phase clouds (MPCs), ice will grow at the expense of supercooled cloud droplets. As such, MPCs, which contain both supercooled liquid and ice, are particularly susceptible to ice formation. However, measuring and quantifying the concentration of ice-nucleating particles (INPs) responsible for ice formation at temperatures associated with MPCs is
challenging due to their very low concentrations in the atmosphere
(∼1 in 105 at −30 ∘C). Atmospheric INP concentrations vary over several orders of magnitude at a single temperature and strongly increase as temperature approaches the homogeneous freezing threshold of water. To further quantify the INP concentration in nature and perform systematic laboratory studies to increase the understanding of the properties responsible for ice nucleation, a new drop-freezing instrument,
the DRoplet Ice Nuclei Counter Zurich), is developed. The instrument is based on the design of previous drop-freezing assays and uses a USB
camera to automatically detect freezing in a 96-well tray cooled in an
ethanol chilled bath with a user-friendly and fully automated analysis
procedure. Based on an in-depth characterization of DRINCZ, we develop a new
method for quantifying and correcting temperature biases across drop-freezing assays. DRINCZ is further validated performing NX-illite
experiments, which compare well with the literature. The temperature
uncertainty in DRINCZ was determined to be ±0.9 ∘C.
Furthermore, we demonstrate the applicability of DRINCZ by measuring and
analyzing field-collected snow samples during an evolving synoptic situation
in the Austrian Alps. The field samples fall within previously observed
ranges for cumulative INP concentrations and show a dependence on air mass
origin and upstream precipitation amount.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference74 articles.
1. Ansmann, A., Tesche, M., Seifert, P., Althausen, D., Engelmann, R., Fruntke,
J., Wandinger, U., Mattis, I., and Müller, D.: Evolution of the ice phase
in tropical altocumulus: SAMUM lidar observations over Cape Verde, J. Geophys. Res., 114, D17208, https://doi.org/10.1029/2008JD011659, 2009. 2. Atherton, T. J. and Kerbyson, D. J.: Size Invariant Circle Detection, Image Vision Comput., 17, 795–803, 1999. 3. Atkinson, J. D., Murray, B. J., Woodhouse, M. T., Whale, T. F., Baustian, K.
J., Carslaw, K. S., Dobbie, S., O'Sullivan, D., and Malkin, T. L.: The
importance of feldspar for ice nucleation by mineral dust in mixed-phase
clouds, Nature, 498, 355–358, https://doi.org/10.1038/nature12278, 2013. 4. Ault, A. P., Williams, C. R., White, A. B., Neiman, P. J., Creamean, J. M.,
Gaston, C. J., Ralph, F. M., and Prather, K. A.: Detection of Asian dust in
California orographic precipitation, J. Geophys. Res., 116, D16205,
https://doi.org/10.1029/2010JD015351, 2011. 5. Beall, C. M., Stokes, M. D., Hill, T. C., DeMott, P. J., DeWald, J. T., and Prather, K. A.: Automation and heat transfer characterization of immersion mode spectroscopy for analysis of ice nucleating particles, Atmos. Meas. Tech., 10, 2613–2626, https://doi.org/10.5194/amt-10-2613-2017, 2017.
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|