Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
AMT | Articles | Volume 12, issue 2
Atmos. Meas. Tech., 12, 1219–1231, 2019
https://doi.org/10.5194/amt-12-1219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 1219–1231, 2019
https://doi.org/10.5194/amt-12-1219-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 26 Feb 2019

Research article | 26 Feb 2019

Revisiting the differential freezing nucleus spectra derived from drop-freezing experiments: methods of calculation, applications, and confidence limits

Gabor Vali

Related authors

Technical Note: A proposal for ice nucleation terminology
G. Vali, P. J. DeMott, O. Möhler, and T. F. Whale
Atmos. Chem. Phys., 15, 10263–10270, https://doi.org/10.5194/acp-15-10263-2015,https://doi.org/10.5194/acp-15-10263-2015, 2015
Short summary
Time-dependent freezing rate parcel model
G. Vali and J. R. Snider
Atmos. Chem. Phys., 15, 2071–2079, https://doi.org/10.5194/acp-15-2071-2015,https://doi.org/10.5194/acp-15-2071-2015, 2015
Interpretation of freezing nucleation experiments: singular and stochastic; sites and surfaces
G. Vali
Atmos. Chem. Phys., 14, 5271–5294, https://doi.org/10.5194/acp-14-5271-2014,https://doi.org/10.5194/acp-14-5271-2014, 2014

Related subject area

Subject: Aerosols | Technique: Laboratory Measurement | Topic: Data Processing and Information Retrieval
Chemical discrimination of the particulate and gas phases of miniCAST exhausts using a two-filter collection method
Linh Dan Ngo, Dumitru Duca, Yvain Carpentier, Jennifer A. Noble, Raouf Ikhenazene, Marin Vojkovic, Cornelia Irimiea, Ismael K. Ortega, Guillaume Lefevre, Jérôme Yon, Alessandro Faccinetto, Eric Therssen, Michael Ziskind, Bertrand Chazallon, Claire Pirim, and Cristian Focsa
Atmos. Meas. Tech., 13, 951–967, https://doi.org/10.5194/amt-13-951-2020,https://doi.org/10.5194/amt-13-951-2020, 2020
Short summary
Comparison of dimension reduction techniques in the analysis of mass spectrometry data
Sini Isokääntä, Eetu Kari, Angela Buchholz, Liqing Hao, Siegfried Schobesberger, Annele Virtanen, and Santtu Mikkonen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-404,https://doi.org/10.5194/amt-2019-404, 2019
Revised manuscript accepted for AMT
Short summary
Development of a Universal Correction Algorithm for Filter-Based Absorption Photometers
Hanyang Li, Gavin R. McMeeking, and Andrew A. May
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-336,https://doi.org/10.5194/amt-2019-336, 2019
Revised manuscript accepted for AMT
Short summary
External and internal cloud condensation nuclei (CCN) mixtures: controlled laboratory studies of varying mixing states
Diep Vu, Shaokai Gao, Tyler Berte, Mary Kacarab, Qi Yao, Kambiz Vafai, and Akua Asa-Awuku
Atmos. Meas. Tech., 12, 4277–4289, https://doi.org/10.5194/amt-12-4277-2019,https://doi.org/10.5194/amt-12-4277-2019, 2019
Short summary
Classification of iron oxide aerosols by a single particle soot photometer using supervised machine learning
Kara D. Lamb
Atmos. Meas. Tech., 12, 3885–3906, https://doi.org/10.5194/amt-12-3885-2019,https://doi.org/10.5194/amt-12-3885-2019, 2019
Short summary

Cited articles

Beydoun, H., Polen, M., and Sullivan, R. C.: Effect of particle surface area on ice active site densities retrieved from droplet freezing spectra, Atmos. Chem. Phys., 16, 13359–13378, https://doi.org/10.5194/acp-16-13359-2016, 2016. 
Blank, L.: Statistical procedures for engineering, management, and science, McGraw-Hill Book Company, New York and others, ISBN 0-07-005851-2, 649 pp., 1980. 
Boose, Y., Baloh, P., Plötze, M., Ofner, J., Grothe, H., Sierau, B., Lohmann, U., and Kanji, Z. A.: Heterogeneous ice nucleation on dust particles sourced from nine deserts worldwide – Part 2: Deposition nucleation and condensation freezing, Atmos. Chem. Phys., 19, 1059–1076, https://doi.org/10.5194/acp-19-1059-2019, 2019. 
Connolly, P. J., Möhler, O., Field, P. R., Saathoff, H., Burgess, R., Choularton, T., and Gallagher, M.: Studies of heterogeneous freezing by three different desert dust samples, Atmos. Chem. Phys., 9, 2805–2824, https://doi.org/10.5194/acp-9-2805-2009, 2009. 
DeMott, P. J., Hill, T. C. J., Petters, M. D., Bertram, A. K., Tobo, Y., Mason, R. H., Suski, K. J., McCluskey, C. S., Levin, E. J. T., Schill, G. P., Boose, Y., Rauker, A. M., Miller, A. J., Zaragoza, J., Rocci, K., Rothfuss, N. E., Taylor, H. P., Hader, J. D., Chou, C., Huffman, J. A., Pöschl, U., Prenni, A. J., and Kreidenweis, S. M.: Comparative measurements of ambient atmospheric concentrations of ice nucleating particles using multiple immersion freezing methods and a continuous flow diffusion chamber, Atmos. Chem. Phys., 17, 11227–11245, https://doi.org/10.5194/acp-17-11227-2017, 2017. 
Publications Copernicus
Download
Short summary
The abundance of freezing nuclei in water samples is routinely determined by experiments involving the cooling of sample drops and observing the temperatures at which the drops freeze. This is used for characterizing the nucleating abilities of materials in laboratory preparations or to determine the numbers of nucleating particles in rain, snow, river water or other natural waters. The evaluation of drop-freezing experiments in terms of differential nucleus spectra is advocated in the paper.
The abundance of freezing nuclei in water samples is routinely determined by experiments...
Citation