Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6699-2026
© 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/amt-19-6699-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Survival-analysis methods for droplet-freezing data: Kaplan–Meier confidence intervals and non-parametric curve comparison
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, LS2 9JT, UK
Trystan Surawy-Stepney
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, LS2 9JT, UK
Sarah L. Barr
Institute for Climate and Atmospheric Science, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Atmospheric Science, Leeds, LS2 9PH, UK
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Molecules released from plant pollen induce the formation of ice from supercooled water at temperatures warm enough to suggest an underlying function for this activity. In this study we show that ice nucleators are ubiquitous in pollen. We suggest the molecules responsible fulfil some unrelated biological function and nucleate ice incidentally. The ubiquity of ice-nucleating molecules in pollen and particularly active examples reveal a greater potential for pollen to impact weather and climate.
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Mineral dust and particles of biological origin are important types of ice-nucleating particles (INPs) that can trigger ice formation of supercooled cloud droplets. Heat treatments are used to detect the presence of biological INPs in samples collected from the environment as the activity of mineral INPs is assumed unchanged, although not fully assessed. We show that the ice-nucleating ability of some minerals can change after heating and discuss how INP heat tests should be interpreted.
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This preprint is open for discussion and under review for The Cryosphere (TC).
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Ice formation in sub-zero clouds is influenced by airborne particles called ice-nucleating particles (INPs), whose concentrations vary substantially over short time and spatial scales. To assess the role of INPs in our climate, a comprehensive and consistent global dataset is essential. Our GloPINE model-ready dataset is a major step in this direction, comprising 36,000 measurements made using a single instrument design (PINE) over 70,000 hours of operation at 20 Northern Hemisphere sites.
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The speed at which Antarctic ice flows is dependent on its viscosity and the slipperiness of the ice/bedrock interface. Often, these unknown variables are inferred from observations of ice speed. This article presents an attempt to make this difficult procedure easier by making use of additional information in the form of observations of crevasses, which make ice appear less viscous to numerical models. We find in some circumstances that this leads to more appealing solutions to this problem.
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Molecules released from plant pollen induce the formation of ice from supercooled water at temperatures warm enough to suggest an underlying function for this activity. In this study we show that ice nucleators are ubiquitous in pollen. We suggest the molecules responsible fulfil some unrelated biological function and nucleate ice incidentally. The ubiquity of ice-nucleating molecules in pollen and particularly active examples reveal a greater potential for pollen to impact weather and climate.
Martin I. Daily, Mark D. Tarn, Thomas F. Whale, and Benjamin J. Murray
Atmos. Meas. Tech., 15, 2635–2665, https://doi.org/10.5194/amt-15-2635-2022, https://doi.org/10.5194/amt-15-2635-2022, 2022
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Mineral dust and particles of biological origin are important types of ice-nucleating particles (INPs) that can trigger ice formation of supercooled cloud droplets. Heat treatments are used to detect the presence of biological INPs in samples collected from the environment as the activity of mineral INPs is assumed unchanged, although not fully assessed. We show that the ice-nucleating ability of some minerals can change after heating and discuss how INP heat tests should be interpreted.
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Short summary
Droplet-freezing experiments help us study substances that trigger ice formation in the atmosphere, but existing ways to show uncertainty or compare results are lacking. We adapt confidence intervals used in medical
time-to-evenstudies, then test them using realistic simulations. They work well across most of the freezing range, though less well at its limits. We also compare tests for differences between curves and show that the best choice depends on how the curves differ.
Droplet-freezing experiments help us study substances that trigger ice formation in the...