Articles | Volume 9, issue 3
https://doi.org/10.5194/amt-9-1313-2016
https://doi.org/10.5194/amt-9-1313-2016
Research article
 | 
30 Mar 2016
Research article |  | 30 Mar 2016

Re-evaluating the Frankfurt isothermal static diffusion chamber for ice nucleation

Jann Schrod, Anja Danielczok, Daniel Weber, Martin Ebert, Erik S. Thomson, and Heinz G. Bingemer

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Cited articles

Ansmann, A., Atkinson, J., Decesari, S., Bühl, J., Facchini, M. C., Gysel, M., Baltensperger, U., Herrmann, E., Connolly, P., Crooks, M., Rosenfeld, D., and Sierau, B.: Definition of the BACCHUS aerosol/cloud database (structure, contents), first preliminary data set (some cloud products from satellite observations and first CCN/IN data), Deliverable report, TROPOS, Leipzig, Germany, 18 pp., 2014.
Ardon-Dryer, K. and Levin, Z.: Ground-based measurements of immersion freezing in the eastern Mediterranean, Atmos. Chem. Phys., 14, 5217–5231, https://doi.org/10.5194/acp-14-5217-2014, 2014.
Ardon-Dryer, K., Levin, Z., and Lawson, R. P.: Characteristics of immersion freezing nuclei at the South Pole station in Antarctica, Atmos. Chem. Phys., 11, 4015–4024, https://doi.org/10.5194/acp-11-4015-2011, 2011.
Bingemer, H., Klein, H., Ebert, M., Haunold, W., Bundke, U., Herrmann, T., Kandler, K., Müller-Ebert, D., Weinbruch, S., Judt, A., Wéber, A., Nillius, B., Ardon-Dryer, K., Levin, Z., and Curtius, J.: Atmospheric ice nuclei in the Eyjafjallajökull volcanic ash plume, Atmos. Chem. Phys., 12, 857–867, https://doi.org/10.5194/acp-12-857-2012, 2012.
Born, J., Möhler, O., Haunold, W., Schrod, J., Brooks, I., Norris, S., Brooks, B., Hill, M., and Leisner, T.: Meteorological and Aerosol Sensing with small Unmanned Aerial Systems, in: EGU General Assembly Conference Abstracts, edited by: Abbasi, A. and Giesen, N., vol. 14 of EGU General Assembly Conference Abstracts, Vienna, AT, 22–27 April 2012, p. 897, 2012.
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Short summary
In this manuscript we describe technical and analytical advances that have been implemented for use with the Frankfurt ice nuclei measurement system known as FRIDGE. In particular we focus on a new collection apparatus and improved data analysis protocol. We also provide an outline of how FRIDGE data should be interpreted and reported. Results from an example case study are presented and help to contextualize FRIDGE data with respect to other measurement techniques and modeling efforts.