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Soft Matter and Complex Systems Seminar

sala 1.40, ul. Pasteura 5
2021-10-15 (09:30) Calendar icon
Daniel Albuquerque (IGF UW)

Liquid-ice mass partitioning in an idealized mixed-phase cloud parcel

Several micro-physical processes determine phase partitioning between ice and liquid water in a mixed-phase cloud. Here we investigate the collective growth of ice particles and liquid droplets affected by turbulent fluctuations in temperature and water vapor fields. All cloud particles, including inactivated nuclei (both CCN and IN), are described by Lagrangian super-particles. To account for local variability in the turbulent cloud environment we apply a Lagrangian micro-physical scheme, where temperature and vapor mixing ratio are stochastic attributes attached to each super-particle. In addition, a simple linear relaxation scheme models turbulent mixing of the scalar fields probed by each super-particle. The limit of a locally homogeneous supersaturation field corresponds to an infinitely short turbulent mixing timescale. The impact of our Lagrangian micro-physical scheme on phase partitioning is tested in adiabatic cloud parcel simulations. Results are confronted with idealized reference simulations that use bulk micro-physics based on an assumed (temperature-dependent) phase partitioning function. Our study suggests that accounting for local variability in a turbulent cloud is important for reproducing steady-state mixed-phase conditions.

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