Description:

Cloud microphysics is critical for simulating weather and climate, being at the center of precipitation formation and cloud-radiative interactions. Representing microphysics in models requires parameterizations of hydrometeor populations, the processes by which hydrometeors evolve and interact, and their coupling with the model dynamics and thermodynamics. We invite presentations on all aspects of representing microphysics across different scales of modeling. Topics may include the development of new parameterization methods and evaluation using observations in key regimes that are important for weather and climate. We also invite presentations on new data driven methods such as machine learning and Bayesian methods for parameterization development, emulation and evaluation.