WAVI (Wavelet-based Adaptive-grid Vertically-integrated Ice-model) is a fast and friendly ice sheet model, written in Julia. WAVI documentation can be found here.
You can install the latest version of WAVI using Julia's in-build package manager:
julia>using Pkg
julia>Pkg.add(PackageSpec(url="https://github.com/RJArthern/WAVI.jl.git", rev = "main"))Note that WAVI requires Julia v1.5 or newer.
Updating WAVI is also achieved using the package manager
julia>using Pkg
julia>Pkg.update("WAVI"))Note that updating should be done with care as WAVI is still developing rapidly; while we aim to keep breaking changes to a minimum, this cannot be guaranteed at present.
Let's run the MISMIP+ experiment (http://www.climate-cryosphere.org/activities/targeted/153-misomip/1412-mismip-plus), the latest ice sheet model intercomparison experiment. We'll use a grid with 80x10 grid points and 8km resolution in both dimensions, and 4 vertical levels. We'll run the model to steady state for 10000 years with a timestep of 0.5 years. Since we're only interested in the steady state, we'll speed up the code by only doing one iteration of the velocity solve per timestep:
using WAVI
grid = Grid(nx = 80, ny = 10, nσ = 4, dx = 8000., dy = 8000., u_iszero = ["north"], v_iszero = ["east", "west"])
bed = WAVI.mismip_plus_bed
params = Params(accumulation_rate = 0.3)
solver_params = SolverParams(maxiter_picard = 1)
model = Model(grid = grid,bed_elevation = bed, params = params)
timestepping_params = TimesteppingParams(dt = 0.5, end_time = 10000.)
simulation = Simulation(model = model, timestepping_params = timestepping_params)
run_simulation!(simulation)It's as easy as that: entry into the state of the art ice sheet model intercomparison in nine lines of code 😎
If you're interested in contributing to the development of WAVI we want your help no matter how big or small a contribution you make! Contributing guidelines can be found in our contributing guide
This package was initiated by Rob Arthern (https://github.com/RJArthern) and is currently maintained by Rob and Alex Bradley (https://github.com/alextbradley)