Articles | Volume 18, issue 18
https://doi.org/10.5194/gmd-18-6117-2025
https://doi.org/10.5194/gmd-18-6117-2025
Development and technical paper
 | 
18 Sep 2025
Development and technical paper |  | 18 Sep 2025

A new parameterisation for homogeneous ice nucleation driven by highly variable dynamical forcings

Alena Kosareva, Stamen Dolaptchiev, Peter Spichtinger, and Ulrich Achatz

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Cited articles

Achatz, U., Ribstein, B., Senf, F., and Klein, R.: The interaction between synoptic-scale balanced flow and a finite-amplitude mesoscale wave field throughout all atmospheric layers: weak and moderately strong stratification, Q. J. Roy. Meteor. Soc., 143, 342–361, https://doi.org/10.1002/qj.2926, 2017. a
Achatz, U., Kim, Y.-H., and Voelker, G. S.: Multi-scale dynamics of the interaction between waves and mean flows: From nonlinear WKB theory to gravity-wave parameterizations in weather and climate models, J. Math. Phys., 64, 111101, https://doi.org/10.1063/5.0165180, 2023. a, b, c
Atlas, R. and Bretherton, C. S.: Aircraft observations of gravity wave activity and turbulence in the tropical tropopause layer: prevalence, influence on cirrus clouds, and comparison with global storm-resolving models, Atmos. Chem. Phys., 23, 4009–4030, https://doi.org/10.5194/acp-23-4009-2023, 2023. a
Barahona, D. and Nenes, A.: Parameterization of cirrus cloud formation in large-scale models: Homogeneous nucleation, J. Geophys. Res.-Atmos., 113, D11211, https://doi.org/10.1029/2007JD009355, 2008. a
Baumgartner, M. and Spichtinger, P.: Homogeneous nucleation from an asymptotic point of view, Theor. Comp. Fluid Dyn., 33, 83–106, https://doi.org/10.1007/s00162-019-00484-0, 2019. a, b, c, d, e, f
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Short summary
This study improves how we predict ice formation in clouds by accounting for variable ice sizes and different weather conditions. Using simulations, we developed a more accurate method that works efficiently, making it suitable for application in weather and climate prediction models. The new approach is numerically verified and provides precise predictions of ice formation events and reliable estimates of key parameters.
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