Articles | Volume 26, issue 2
https://doi.org/10.5194/acp-26-1211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-1211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2026
Research article |
| 26 Jan 2026
| 26 Jan 2026
Unique microphysical properties of small boundary layer ice particles under pristine conditions on Dome C, Antarctica
Institute of Meteorology and Climate Research Atmospheric Aerosol Research (IMKAAF), Karlsruhe Institute of Technology, Karlsruhe, Germany
Massimo del Guasta
Istituto Nazionale Ottica CNR, Sesto Fiorentino, 50019 Firenze, Italy
Carl Schmitt
University of Alaska Fairbanks, Fairbanks, USA
Christophe Genthon
Laboratoire de Météorologie Dynamique, IPSL, CNRS, Ecole Normale Supérieure, Sorbonne Université, PSL Research, Paris, France
Emma Järvinen
Institute for Atmospheric and Environmental Research, University of Wuppertal, Wuppertal, Germany
Martin Schnaiter
CORRESPONDING AUTHOR
Institute for Atmospheric and Environmental Research, University of Wuppertal, Wuppertal, Germany
schnaiTEC GmbH, Wuppertal, Germany
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The surface atmosphere of the high Antarctic Plateau is very cold and clean. Such conditions favor water vapor supersaturation. A 3-year quasi-continuous series of atmospheric moisture in a ~40 m atmospheric layer at Dome C is reported that documents time variability, vertical profiles and occurrences of supersaturation. Supersaturation with respect to ice is frequently observed throughout the column, with relative humidities occasionally reaching values near liquid water saturation.
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A 10-year dataset of observation in the atmospheric boundary layer at Dome C on the high Antarctic plateau is presented. This is obtained with sensors at six levels along a tower higher than 40 m. The temperature inversion can reach more than 25 °C along the tower in winter, while full mixing by convection can occur in summer. Different amplitudes of variability for wind and temperature at the different levels reflect different signatures of solar vs. synoptic forcing of the boundary layer.
Julia Schneider, Kristina Höhler, Robert Wagner, Harald Saathoff, Martin Schnaiter, Tobias Schorr, Isabelle Steinke, Stefan Benz, Manuel Baumgartner, Christian Rolf, Martina Krämer, Thomas Leisner, and Ottmar Möhler
Atmos. Chem. Phys., 21, 14403–14425, https://doi.org/10.5194/acp-21-14403-2021, https://doi.org/10.5194/acp-21-14403-2021, 2021
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Homogeneous freezing is a relevant mechanism for the formation of cirrus clouds in the upper troposphere. Based on an extensive set of homogeneous freezing experiments at the AIDA chamber with aqueous sulfuric acid aerosol, we provide a new fit line for homogeneous freezing onset conditions of sulfuric acid aerosol focusing on cirrus temperatures. In the atmosphere, homogeneous freezing thresholds have important implications on the cirrus cloud occurrence and related cloud radiative effects.
William Cossich, Tiziano Maestri, Davide Magurno, Michele Martinazzo, Gianluca Di Natale, Luca Palchetti, Giovanni Bianchini, and Massimo Del Guasta
Atmos. Chem. Phys., 21, 13811–13833, https://doi.org/10.5194/acp-21-13811-2021, https://doi.org/10.5194/acp-21-13811-2021, 2021
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The presence of clouds over Concordia, in the Antarctic Plateau, is investigated. Results are obtained by applying a machine learning algorithm to measurements of the infrared radiation emitted by the atmosphere toward the surface. The clear-sky, ice cloud, and mixed-phase cloud occurrence at different timescales is studied. A comparison with satellite measurements highlights the ability of the algorithm to identify multiple cloud conditions and study their variability at different timescales.
Janne Lampilahti, Hanna E. Manninen, Tuomo Nieminen, Sander Mirme, Mikael Ehn, Iida Pullinen, Katri Leino, Siegfried Schobesberger, Juha Kangasluoma, Jenni Kontkanen, Emma Järvinen, Riikka Väänänen, Taina Yli-Juuti, Radovan Krejci, Katrianne Lehtipalo, Janne Levula, Aadu Mirme, Stefano Decesari, Ralf Tillmann, Douglas R. Worsnop, Franz Rohrer, Astrid Kiendler-Scharr, Tuukka Petäjä, Veli-Matti Kerminen, Thomas F. Mentel, and Markku Kulmala
Atmos. Chem. Phys., 21, 12649–12663, https://doi.org/10.5194/acp-21-12649-2021, https://doi.org/10.5194/acp-21-12649-2021, 2021
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We studied aerosol particle formation and growth in different parts of the planetary boundary layer at two different locations (Po Valley, Italy, and Hyytiälä, Finland). The observations consist of airborne measurements on board an instrumented Zeppelin and a small airplane combined with comprehensive ground-based measurements.
Fritz Waitz, Martin Schnaiter, Thomas Leisner, and Emma Järvinen
Atmos. Meas. Tech., 14, 3049–3070, https://doi.org/10.5194/amt-14-3049-2021, https://doi.org/10.5194/amt-14-3049-2021, 2021
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A major challenge in the observations of mixed-phase clouds remains the phase discrimination and sizing of cloud droplets and ice crystals, especially for particles with diameters smaller than 0.1 mm. Here, we present a new method to derive the phase and size of single cloud particles using their angular-light-scattering information. Comparisons with other in situ instruments in three case studies show good agreement.
Cited articles
Aubry, C., Delanoë, J., Groß, S., Ewald, F., Tridon, F., Jourdan, O., and Mioche, G.: Lidar–radar synergistic method to retrieve ice, supercooled water and mixed-phase cloud properties, Atmospheric Measurement Techniques, 17, 3863–3881, https://doi.org/10.5194/amt-17-3863-2024, 2024. a, b
Bailey, M. P. and Hallett, J.: A comprehensive habit diagram for atmospheric ice crystals: Confirmation from the laboratory, AIRS II, and other field studies, Journal of the Atmospheric Sciences, 66, 2888–2899, https://doi.org/10.1175/2009jas2883.1, 2009. a, b
Belosi, F., Santachiara, G., and Prodi, F.: Ice-forming nuclei in Antarctica: New and past measurements, Atmospheric Research, 145, 105–111, https://doi.org/10.1016/j.atmosres.2014.03.030, 2014. a
Cox, C. J., Noone, D. C., Berkelhammer, M., Shupe, M. D., Neff, W. D., Miller, N. B., Walden, V. P., and Steffen, K.: Supercooled liquid fogs over the central Greenland Ice Sheet, Atmospheric Chemistry and Physics, 19, 7467–7485, https://doi.org/10.5194/acp-19-7467-2019, 2019. a
Del Guasta, M.: ICE-CAMERA: a flatbed scanner to study inland Antarctic polar precipitation, Atmospheric Measurement Techniques, 15, 6521–6544, https://doi.org/10.5194/amt-15-6521-2022, 2022. a, b
Del Guasta, M., Ricaud, P., Scarchilli, C., and Dreossi, G.: A statistical study of precipitation on the eastern antarctic plateau (Dome-C) using remote sensing and in-situ instrumentation, Polar Science, 42, 101106, https://doi.org/10.1016/j.polar.2024.101106, 2024. a, b
Di Natale, G., Turner, D. D., Bianchini, G., Del Guasta, M., Palchetti, L., Bracci, A., Baldini, L., Maestri, T., Cossich, W., Martinazzo, M., and Facheris, L.: Consistency test of precipitating ice cloud retrieval properties obtained from the observations of different instruments operating at Dome C (Antarctica), Atmospheric Measurement Techniques, 15, 7235–7258, https://doi.org/10.5194/amt-15-7235-2022, 2022. a, b
Dittmann, A., Schlosser, E., Masson-Delmotte, V., Powers, J. G., Manning, K. W., Werner, M., and Fujita, K.: Precipitation regime and stable isotopes at Dome Fuji, East Antarctica, Atmospheric Chemistry and Physics, 16, 6883–6900, https://doi.org/10.5194/acp-16-6883-2016, 2016. a
Genthon, C., Piard, L., Vignon, E., Madeleine, J.-B., Casado, M., and Gallée, H.: Atmospheric moisture supersaturation in the near-surface atmosphere at Dome C, Antarctic Plateau, Atmospheric Chemistry and Physics, 17, 691–704, https://doi.org/10.5194/acp-17-691-2017, 2017. a
Genthon, C., Veron, D. E., Vignon, E., Madeleine, J.-B., and Piard, L.: Water vapor in cold and clean atmosphere: a 3-year data set in the boundary layer of Dome C, East Antarctic Plateau, Earth System Science Data, 14, 1571–1580, https://doi.org/10.5194/essd-14-1571-2022, 2022. a
Girard, E. and Blanchet, J.-P.: Simulation of Arctic diamond dust, ice fog, and thin stratus using an explicit aerosol–cloud–radiation model, Journal of the Atmospheric Sciences, 58, 1199–1221, https://doi.org/10.1175/1520-0469(2001)058<1199:soaddi>2.0.co;2, 2001b. a, b
Grigioni, P., Camporeale, G., Ciardini, V., De Silvestri, L., Iaccarino, A., Proposito, M., and Scarchilli, C.: Dati meteorologici della Stazione meteorologica CONCORDIA presso la Base CONCORDIA STATION (DomeC), Osservatorio Meteo-Climatologico Antartico [data set], https://doi.org/10.12910/DATASET2022-002, 2022. a, b, c
Gultepe, I., Heymsfield, A. J., Gallagher, M., Ickes, L., and Baumgardner, D.: Ice fog: The current state of knowledge and future challenges, Meteorological Monographs, 58, 4–1, https://doi.org/10.1175/amsmonographs-d-17-0002.1, 2017. a, b, c
Hamel, A., Del Guasta, M., Schmitt, C., Genthon, C., Järvinen, E., and Schnaiter, M.: Particle shape and particle size distribution, remote sensing lidar and in-situ temperature and humidity data from DOME-C, Antarctica during austral summer 2023/2024, Zenodo [data set], https://doi.org/10.5281/zenodo.17616458, 2025. a
Heumann, K. G.: Determination of inorganic and organic traces in the clean room compartment of Antarctica, Analytica Chimica Acta, 283, 230–245, https://doi.org/10.1016/0003-2670(93)85227-b, 1993. a, b
Heymsfield, A. J., Krämer, M., Luebke, A., Brown, P., Cziczo, D. J., Franklin, C., Lawson, P., Lohmann, U., McFarquhar, G., Ulanowski, Z., and Van Tricht, K.: Cirrus clouds, Meteorological Monographs, 58, 2–1, https://doi.org/10.1175/amsmonographs-d-16-0010.1, 2017. a
Järvinen, E., Schnaiter, M., Mioche, G., Jourdan, O., Shcherbakov, V. N., Costa, A., Afchine, A., Krämer, M., Heidelberg, F., Jurkat, T., Voigt, C., Schlager, H., Nichman, L., Gallagher, M., Hirst, E., Schmitt, C., Bansemer, A., Heymsfield, A., Lawson, P., Tricoli, U., Pfeilsticker, K., Vochezer, P., Möhler, O., and Leisner, T.: Quasi-spherical ice in convective clouds, Journal of the Atmospheric Sciences, 73, 3885–3910, https://doi.org/10.1175/jas-d-15-0365.1, 2016. a
Kaye, P. H., Hirst, E., Greenaway, R. S., Ulanowski, Z., Hesse, E., DeMott, P. J., Saunders, C., and Connolly, P.: Classifying atmospheric ice crystals by spatial light scattering, Optics Letters, 33, 1545–1547, https://doi.org/10.1364/ol.33.001545, 2008. a, b, c, d
Koop, T., Luo, B., Tsias, A., and Peter, T.: Water activity as the determinant for homogeneous ice nucleation in aqueous solutions, Nature, 406, 611–614, https://doi.org/10.1038/35020537, 2000. a, b, c
Lawson, R. P. and Gettelman, A.: Impact of Antarctic mixed-phase clouds on climate, Proceedings of the National Academy of Sciences, 111, 18156–18161, https://doi.org/10.1073/pnas.1418197111, 2014. a
Lawson, R. P., Baker, B. A., Zmarzly, P., O'Connor, D., Mo, Q., Gayet, J.-F., and Shcherbakov, V.: Microphysical and optical properties of atmospheric ice crystals at South Pole Station, Journal of Applied Meteorology and Climatology, 45, 1505–1524, https://doi.org/10.1175/jam2421.1, 2006. a, b, c, d, e
Libois, Q., Picard, G., Arnaud, L., Morin, S., and Brun, E.: Modeling the impact of snow drift on the decameter-scale variability of snow properties on the Antarctic Plateau, Journal of Geophysical Research: Atmospheres, 119, 11–662, https://doi.org/10.1002/2014jd022361, 2014. a
Lu, R.-S., Tian, G.-Y., Gledhill, D., and Ward, S.: Grinding surface roughness measurement based on the co-occurrence matrix of speckle pattern texture, Applied Optics, 45, 8839–8847, https://doi.org/10.1364/ao.45.008839, 2006. a, b
Maciel, F. V., Diao, M., and Patnaude, R.: Examination of aerosol indirect effects during cirrus cloud evolution, Atmospheric Chemistry and Physics, 23, 1103–1129, https://doi.org/10.5194/acp-23-1103-2023, 2023. a
Mishra, S., Mitchell, D. L., Turner, D. D., and Lawson, R.: Parameterization of ice fall speeds in midlatitude cirrus: Results from SPartICus, Journal of Geophysical Research: Atmospheres, 119, 3857–3876, https://doi.org/10.1002/2013JD020602, 2014. a
Murphy, D. M. and Koop, T.: Review of the vapour pressures of ice and supercooled water for atmospheric applications, Quarterly Journal of the Royal Meteorological Society, 131, 1539–1565, https://doi.org/10.1256/qj.04.94, 2005. a
Palm, S. P., Yang, Y., Spinhirne, J. D., and Marshak, A.: Satellite remote sensing of blowing snow properties over Antarctica, Journal of Geophysical Research: Atmospheres, 116, https://doi.org/10.1029/2011jd015828, 2011. a
Ricaud, P., Bazile, E., del Guasta, M., Lanconelli, C., Grigioni, P., and Mahjoub, A.: Genesis of diamond dust, ice fog and thick cloud episodes observed and modelled above Dome C, Antarctica, Atmospheric Chemistry and Physics, 17, 5221–5237, https://doi.org/10.5194/acp-17-5221-2017, 2017. a
Rolph, G., Stein, A., and Stunder, B.: Real-time environmental applications and display system: READY, Environmental Modelling & Software, 95, 210–228, https://doi.org/10.1016/j.envsoft.2017.06.025, 2017. a, b
Santachiara, G., Belosi, F., and Prodi, F.: Ice crystal precipitation at Dome C site (East Antarctica), Atmospheric Research, 167, 108–117, https://doi.org/10.1016/j.atmosres.2015.08.006, 2016. a
Sauerland, F., Souverijns, N., Possner, A., Wex, H., Van Overmeiren, P., Mangold, A., Van Weverberg, K., and van Lipzig, N.: Ice-nucleating particle concentration impacts cloud properties over Dronning Maud Land, East Antarctica, in COSMO-CLM2, Atmospheric Chemistry and Physics, 24, 13751–13768, https://doi.org/10.5194/acp-24-13751-2024, 2024. a
Schlosser, E., Stenni, B., Valt, M., Cagnati, A., Powers, J. G., Manning, K. W., Raphael, M., and Duda, M. G.: Precipitation and synoptic regime in two extreme years 2009 and 2010 at Dome C, Antarctica – implications for ice core interpretation, Atmospheric Chemistry and Physics, 16, 4757–4770, https://doi.org/10.5194/acp-16-4757-2016, 2016. a
Schmitt, C. G., Stuefer, M., Heymsfield, A. J., and Kim, C. K.: The microphysical properties of ice fog measured in urban environments of Interior Alaska, Journal of Geophysical Research: Atmospheres, 118, 11–136, https://doi.org/10.1002/jgrd.50822, 2013. a, b, c
Schmitt, C. G., Järvinen, E., Schnaiter, M., Vas, D., Hartl, L., Wong, T., and Stuefer, M.: Classification of ice particle shapes using machine learning on forward light scattering images, Artificial Intelligence for the Earth Systems, https://doi.org/10.1175/aies-d-23-0091.1, 2024a. a, b, c, d, e, f
Schmitt, C. G., Vas, D., Schnaiter, M., Järvinen, E., Hartl, L., Wong, T., Cassella, V., and Stuefer, M.: Microphysical characterization of boundary layer ice particles: results from a 3-year measurement campaign in interior Alaska, Journal of Applied Meteorology and Climatology, https://doi.org/10.1175/jamc-d-23-0190.1, 2024b. a, b, c, d, e, f, g, h, i, j
Schnaiter, M., Järvinen, E., Vochezer, P., Abdelmonem, A., Wagner, R., Jourdan, O., Mioche, G., Shcherbakov, V. N., Schmitt, C. G., Tricoli, U., Ulanowski, Z., and Heymsfield, A. J.: Cloud chamber experiments on the origin of ice crystal complexity in cirrus clouds, Atmospheric Chemistry and Physics, 16, 5091–5110, https://doi.org/10.5194/acp-16-5091-2016, 2016. a, b, c, d, e, f, g, h, i, j
Schneider, J., Höhler, K., Wagner, R., Saathoff, H., Schnaiter, M., Schorr, T., Steinke, I., Benz, S., Baumgartner, M., Rolf, C., Krämer, M., Leisner, T., and Möhler, O.: High homogeneous freezing onsets of sulfuric acid aerosol at cirrus temperatures, Atmospheric Chemistry and Physics, 21, 14403–14425, https://doi.org/10.5194/acp-21-14403-2021, 2021. a
Shupe, M. D. and Intrieri, J. M.: Cloud radiative forcing of the Arctic surface: The influence of cloud properties, surface albedo, and solar zenith angle, Journal of Climate, 17, 616–628, https://doi.org/10.1175/1520-0442(2004)017<0616:CRFOTA>2.0.CO;2, 2004. a
Sourdeval, O., Gryspeerdt, E., Krämer, M., Goren, T., Delanoë, J., Afchine, A., Hemmer, F., and Quaas, J.: Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation, Atmospheric Chemistry and Physics, 18, 14327–14350, https://doi.org/10.5194/acp-18-14327-2018, 2018. a
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J., Cohen, M. D., and Ngan, F.: NOAA's HYSPLIT atmospheric transport and dispersion modeling system, Bulletin of the American Meteorological Society, 96, 2059–2077, https://doi.org/10.1175/bams-d-14-00110.1, 2015. a, b
Ulanowski, Z., Kaye, P. H., Hirst, E., and Greenaway, R.: Light scattering by ice particles in the Earth's atmosphere and related laboratory measurements, in: Procs 12th Int Conf on Electromagnetic and Light Scattering, University of Helsinki, https://api.semanticscholar.org/CorpusID:17077450 (last access: 14 Febuary 2025), 2010. a, b, c
Ulanowski, Z., Kaye, P. H., Hirst, E., Greenaway, R. S., Cotton, R. J., Hesse, E., and Collier, C. T.: Incidence of rough and irregular atmospheric ice particles from Small Ice Detector 3 measurements, Atmospheric Chemistry and Physics, 14, 1649–1662, https://doi.org/10.5194/acp-14-1649-2014, 2014. a, b, c
Vanderpool, R. W., Krug, J. D., Kaushik, S., Gilberry, J., Dart, A., and Witherspoon, C. L.: Size-selective sampling performance of six low-volume “total” suspended particulate (TSP) inlets, Aerosol Science and Technology, 52, 98–113, https://doi.org/10.1080/02786826.2017.1386766, 2018. a
Vignon, É., Raillard, L., Genthon, C., Del Guasta, M., Heymsfield, A. J., Madeleine, J.-B., and Berne, A.: Ice fog observed at cirrus temperatures at Dome C, Antarctic Plateau, Atmospheric Chemistry and Physics, 22, 12857–12872, https://doi.org/10.5194/acp-22-12857-2022, 2022. a, b, c, d
Virkkula, A., Grythe, H., Backman, J., Petäjä, T., Busetto, M., Lanconelli, C., Lupi, A., Becagli, S., Traversi, R., Severi, M., Vitale, V., Sheridan, P., and Andrews, E.: Aerosol optical properties calculated from size distributions, filter samples and absorption photometer data at Dome C, Antarctica, and their relationships with seasonal cycles of sources, Atmospheric Chemistry and Physics, 22, 5033–5069, https://doi.org/10.5194/acp-22-5033-2022, 2022. a, b, c
Vochezer, P., Järvinen, E., Wagner, R., Kupiszewski, P., Leisner, T., and Schnaiter, M.: In situ characterization of mixed phase clouds using the Small Ice Detector and the Particle Phase Discriminator, Atmospheric Measurement Techniques, 9, 159–177, https://doi.org/10.5194/amt-9-159-2016, 2016. a, b, c, d, e, f, g, h, i
Walden, V. P., Warren, S. G., and Tuttle, E.: Atmospheric ice crystals over the Antarctic Plateau in winter, Journal of Applied Meteorology, 42, 1391–1405, https://doi.org/10.1175/1520-0450(2003)042<1391:aicota>2.0.co;2, 2003. a, b, c, d
Wang, Z. and Sassen, K.: Cloud type and macrophysical property retrieval using multiple remote sensors, Journal of Applied Meteorology and Climatology, 40, 1665–1682, https://doi.org/10.1175/1520-0450(2001)040<1665:ctampr>2.0.co;2, 2001. a
Waugh, D. W. and Randel, W. J.: Climatology of Arctic and Antarctic polar vortices using elliptical diagnostics, Journal of the Atmospheric Sciences, 56, 1594–1613, https://doi.org/10.1175/1520-0469(1999)056<1594:coaaap>2.0.co;2, 1999. a
Yang, P., Bi, L., Baum, B. A., Liou, K.-N., Kattawar, G. W., Mishchenko, M. I., and Cole, B.: Spectrally consistent scattering, absorption, and polarization properties of atmospheric ice crystals at wavelengths from 0.2 to 100 µm, Journal of the Atmospheric Sciences, 70, 330–347, https://doi.org/10.1175/jas-d-12-039.1, 2013. a
Short summary
Size and shape of small ice particles in the dry and cold atmosphere of inland Antarctica were measured. We observed that particles originating near the surface are smaller than those falling from higher altitudes. Inland Antarctic particles of frozen fog occur at lower concentrations and are less complex than those observed in an urban, polluted environment. These findings can help to improve Antarctic climate models and to accurately interpret satellite observations of the polar atmosphere.
Size and shape of small ice particles in the dry and cold atmosphere of inland Antarctica were...
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