Oceanostics

Oceanostics is a Julia package created to facilitate obtaining diagnostic quantities in Oceananigans simulations. It was created solely as a companion package to Oceananigans, so we refer users first to the Oceananigans documentation before getting started with Oceanostics.

Installation

To install the latest stable version from Julia:

julia> ]
(@v1.9) pkg> add Oceanostics

If you want the latest developments (which may or may not be unstable) you can add the latest version from Github in the main branch:

julia> ]
(@v1.9) pkg> add Oceanostics#main

Quick example

The example below illustrates a few of Oceanostics' features. Check the Examples for more detailed usage.

julia> using Oceananigans

julia> using Oceanostics

julia> grid = RectilinearGrid(size=(4, 5, 6), extent=(1, 1, 1));

julia> model = NonhydrostaticModel(grid=grid, closure=SmagorinskyLilly());

julia> simulation = Simulation(model, Δt=1, stop_time=10);

julia> simulation.callbacks[:progress] = Callback(ProgressMessengers.TimedMessenger(), IterationInterval(5));

julia> ke = KineticEnergy(model)
KernelFunctionOperation at (Center, Center, Center)
├── grid: 4×5×6 RectilinearGrid{Float64, Periodic, Periodic, Bounded} on CPU with 3×3×3 halo
├── kernel_function: turbulent_kinetic_energy_ccc (generic function with 1 method)
└── arguments: ("4×5×6 Field{Face, Center, Center} on RectilinearGrid on CPU", "4×5×6 Field{Center, Face, Center} on RectilinearGrid on CPU", "4×5×7 Field{Center, Center, Face} on RectilinearGrid on CPU", "0", "0", "0")

julia> ε = KineticEnergyDissipationRate(model)
KernelFunctionOperation at (Center, Center, Center)
├── grid: 4×5×6 RectilinearGrid{Float64, Periodic, Periodic, Bounded} on CPU with 3×3×3 halo
├── kernel_function: viscous_dissipation_rate_ccc (generic function with 1 method)
└── arguments: ("(νₑ=4×5×6 Field{Center, Center, Center} on RectilinearGrid on CPU,)", "(u=4×5×6 Field{Face, Center, Center} on RectilinearGrid on CPU, v=4×5×6 Field{Center, Face, Center} on RectilinearGrid on CPU, w=4×5×7 Field{Center, Center, Face} on RectilinearGrid on CPU)", "(closure=Smagorinsky with coefficient = LillyCoefficient(smagorinsky = 0.16, reduction_factor = 1.0), Pr=NamedTuple(), clock=Clock{Float64, Float64}(time=0 seconds, iteration=0, last_Δt=Inf days), buoyancy=Nothing)")

julia> run!(simulation)
[ Info: Initializing simulation...
┌ Info: iter =      0,  [000.00%] time = 0 seconds,  Δt = 1 second,  walltime = 621.022 ms,  walltime / timestep = 0 seconds
└           |u⃗|ₘₐₓ = [0.00e+00,  0.00e+00,  0.00e+00] m/s,  advective CFL = 0,  diffusive CFL = 0,  νₘₐₓ = 0 m²/s
[ Info:     ... simulation initialization complete (8.970 seconds)
[ Info: Executing initial time step...
[ Info:     ... initial time step complete (3.415 ms).
┌ Info: iter =      5,  [050.00%] time = 5 seconds,  Δt = 1 second,  walltime = 9.035 seconds,  walltime / timestep = 1.683 seconds
└           |u⃗|ₘₐₓ = [0.00e+00,  0.00e+00,  0.00e+00] m/s,  advective CFL = 0,  diffusive CFL = 0,  νₘₐₓ = 0 m²/s
[ Info: Simulation is stopping after running for 9.030 seconds.
[ Info: Simulation time 10 seconds equals or exceeds stop time 10 seconds.
┌ Info: iter =     10,  [100.00%] time = 10 seconds,  Δt = 1 second,  walltime = 9.052 seconds,  walltime / timestep = 3.340 ms
└           |u⃗|ₘₐₓ = [0.00e+00,  0.00e+00,  0.00e+00] m/s,  advective CFL = 0,  diffusive CFL = 0,  νₘₐₓ = 0 m²/s