Calibration of Stochastic Ice Nucleation Scheme

Ice production has significant impacts on cloud phase, precipitation, and radiative properties of a cloud which prompts accurate parameterization of ice production in cloud models. At the same time, ice production is a complex process dependent on a multitude of parameters and cloud processes. This poses a challenge of accurately accounting for ice crystal number and saturation in cloud models. Calibrations can help progress the modeling of ice production by constraining free model parameters, but to do so, quality observations of cloud properties such as ice crystal number density are required which accurately reflect atmospheric processes. A bulk-scheme parcel model is created which includes comprehensive parameterizations for various ice nucleation modes with the intent to incorporate the parameterizations into a global model. The parameters in this model are calibrated with Aerosol Interaction and Dynamics in the Atmosphere (AIDA) chamber data. This research highlights the limitations of available data and identifies types of data which may be useful for modeling ice microphysics.