Machine learning models recover most warm-rain and ice microphysical process rates from standard ICON model outputs for accumulation intervals of 10 minutes or less using a two-step classification-regression approach with calibrated uncertainty.
van Lier-Walqui, M
2 Pith papers cite this work. Polarity classification is still indexing.
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The singular immersion freezing model applies only under limited cooling rates while the time-dependent approach integrates better with particle-based aerosol microphysics.
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Immersion freezing in particle-based aerosol-cloud microphysics: a probabilistic perspective on singular and time-dependent models
The singular immersion freezing model applies only under limited cooling rates while the time-dependent approach integrates better with particle-based aerosol microphysics.