Ocean framework¶
The ocean
core contains a small amount of shared framework code that we
expect to expand in the future as new test cases are added.
Namelist replacements and streams files¶
The modules compass.ocean.namelists
and compass.ocean.streams
contain
namelist replacements and streams files that are similar to core-level
templates in Legacy COMPASS. Current templates are for adjusting sea
surface height in ice-shelf cavities, and outputting variables related to
frazil ice and land-ice fluxes.
Vertical coordinate¶
The compass.ocean.vertical
module provides support for computing general
vertical coordinates for MPAS-Ocean test cases.
The compass.ocean.vertical.grid_1d
module provides 1D vertical
coordinates. To create 1D vertical grids, test cases should call
compass.ocean.vertical.grid_1d.generate_1d_grid()
with the desired
config options set in the vertical_grid
section (as described in
Vertical coordinate).
The z-level and z-star coordinates are also controlled by config options from
this section of the config file. The function
compass.ocean.vertical.init_vertical_coord()
can be used to compute
minLevelCell
, maxLevelCell
, cellMask
, layerThickness
, zMid
,
and restingThickness
variables for z-level and
z-star coordinates using the ssh
and bottomDepth
as well
as config options from vertical_grid
.
Haney number¶
The module compass.ocean.haney
defines a function
compass.ocean.haney.compute_haney_number()
for computing the Haney
number (Haney 1991).
The Haney number is a measure of how large pressure-gradient errors are likely
to be based on how thin and tilted the model layers have become.
where the computation is centered at edge \(e\) and at the interface between layers \(k\) and \(k+1\), adjacent to cells \(c_1\) and \(c_2\). The elevation of the middle of layer \(k\) at the center of cell \(c\) is \(z_\textrm{mid}(c, k)\).
Ice-shelf cavities¶
The module compass.ocean.iceshelf
defines two functions that are used to
set up domains with ice-shelf cavities.
compass.ocean.iceshelf.compute_land_ice_pressure_and_draft()
computes the landIcePressure
and landIceDraft
fields based on the
sea-surface height (SSH) and a reference density (typically the the Boussinesq
reference density).
compass.ocean.iceshelf.adjust_ssh()
performs a series of forward
runs with MPAS-Ocean to detect and correct imbalances between the SSH and the
land-ice pressure. In each forward run, the SSH is allowed to evolve forward
in time for a short period (typically 1 hour), then the resulting change in
SSH is translated into a compensating change in land-ice pressure that is
expected to reduce the change in SSH. The initial land-ice pressure is updated
accordingly and the process is repeated for a fixed number of iterations,
typically leading to smaller and smaller changes in the land-ice pressure.
This process does not completely eliminate the dynamical adjustment of the
ocean to the overlying weight of the ice shelf but it tends to reduce it
substantially and to prevent it from causing numerical instabilities. This
procedure is also largely agnostic to the equation of state being used or the
method for implementing the horizontal pressure-gradient force.
Particles¶
The compass.ocean.particles
module contains functionality for initializing
particles for the LIGHT framework.
compass.ocean.particles.write()
creates an initial condition for
particles partitioned across cores. There are 3 possible particle types (or
all
to indicate that all 3 types will be generated):
buoyancy
Particles are constrained to buoyancy (isopycnal) surfaces
passive
Particles move both horizontally and vertically as passive tracers
surface
Particles are constrained to the top ocean level
compass.ocean.particles.remap_particles()
is used to remap particles
onto a new grid decomposition. This might be useful, for example, if you wish
to change the number of cores that a particle initial condition should run on.
Plotting¶
The compass.ocean.plot
contains functionality for plotting the initial
state and 1D vertical grid.
compass.ocean.plot.plot_initial_state()
creates histogram plots of
salinity, temperature, bottom depth, maxLevelCell
, layer thickness and the
Haney number from global initial condition. This is useful for providing a
quick sanity check that these values have the expected range and distribution,
based on previous meshes.
compass.ocean.plot.plot_vertical_grid()
plot the vertical grid in
3 ways: layer mid-depth vs. vertical index; layer mid-depth vs. layer thickness;
and layer thickness vs. vertical index. Again, this provides a quick sanity
check that the grid has the expected bounds (both in thickness and in depth)
and number of layers.