Trying to "couple" Oceananigans for time-stepping an offline surrogate of ACCESS-OM2 and then use transport matrices to solve for periodic state using a Newon–Krylov solver.
🚧 This is exploratory WIP and may be abandonned any time!
Gadi compute nodes don't have access to the internet, so the project dependencies must be downloaded on the login node. But the default mutli-threaded precompilation could use too much resources and crash during pkg> up. A solution may be to first download the deps on a login node, with a flag to prevent precompilation:
env JULIA_PKG_PRECOMPILE_AUTO=0 julia --project -e 'using Pkg; Pkg.update()'and then precompile on a compute node, essentially running
julia --project -e 'using Pkg; Pkg.instantiate()'by simply submitting the job (48 CPUs)
qsub scripts/pkg_instantiate_project_CPU.shand for GPU (1 GPU, 12 CPUs)
qsub scripts/pkg_instantiate_project_GPU.shPreprocessing writes data and images under:
preprocessed_inputs/<PARENT_MODEL>/
Data files:
u_interpolated.jld2v_interpolated.jld2w.jld2eta.jld2u_from_mass_transport.jld2v_from_mass_transport.jld2w_from_mass_transport.jld2
Plots are colocated under:
preprocessed_inputs/<PARENT_MODEL>/plots/
with subdirectories for each plotted field family:
u/(original B-gridu)v/(original B-gridv)u_interpolated/v_interpolated/w/eta/u_from_mass_transport/v_from_mass_transport/w_from_mass_transport/
Each plot subdirectory is split by vertical level (k<level> when applicable). Each image contains one field only.