A Julia language implementation of the superdroplet method (Shima et al., 2009).

Features

• Superdroplet coalescence scheme (Shima et al. 2009 SDM), with multiple kernel options
• Droplet activation/diffusional growth via the κ-Köhler equation
• Droplet motion and settling
• MPDATA scheme for fluid advection (Smolarkiewicz, 1998)
• Turbulence closures and functions (Abade and Grabowski., 2018; Mellor-Yamada 2.5)
• 0D and 1D spatial architecture for cloud simulations

Examples

• Box model collision-coalescence and/or condensation
• Superdroplet microphysics coupling for CloudMicrophysics.jl parcel model
• 1D and 2D MPDATA advection examples
• MPDATA Warm Bubble Boussinesq solver
• 1D Kinematic Rainshaft with prescribed Thermodynamics (Shipway and Hill, 2012, PySDM)
• A single-column DyCOMSII-RF02 stratocumulus example with MPDATA advection and a TKE-based turbulence closure (Wyant et al., 2007, Ackerman et al., 2009)

Droplets.jl is not currently in the julia directory, so to install and use as a package clone the git repo:

git clone https://github.com/emmacware/droplets.jl/

navigate to the directory

julia

julia> ]

pkg> dev .

pkg> instantiate

to run the Shima et al., 2009 box model collision-coalecence case (using the Golovin kernel with an initial exponential distribution) from terminal, navigate to the Droplets/Examples directory and run

julia SDMCollisions/run_file.jl

or on Colab in a jupyter notebook (making sure to change runtime type to Julia):

Help for the Droplets functions and structs can searched with

julia> ?
help>

Documentation

• Droplets Documentation