polaris.ocean.tasks.cosine_bell.analysis.Analysis

class polaris.ocean.tasks.cosine_bell.analysis.Analysis(component, subdir, dependencies, refinement='both')[source]

A step for analyzing the output from the cosine bell test case

__init__(component, subdir, dependencies, refinement='both')[source]

Create the step

Parameters:
  • component (polaris.Component) – The component the step belongs to

  • subdir (str) – The subdirectory that the step resides in

  • dependencies (dict of dict of polaris.Steps) – The dependencies of this step

  • refinement (str, optional) – Whether to refine in space, time or both space and time

Methods

__init__(component, subdir, dependencies[, ...])

Create the step

add_dependency(step[, name])

Add step as a dependency of this step (i.e. this step can't run until the dependency has finished).

add_input_file([filename, target, database, ...])

Add an input file to the step (but not necessarily to the MPAS model).

add_output_file(filename[, validate_vars])

Add the output file that must be produced by this step and may be made available as an input to steps, perhaps in other tasks.

compute_error(refinement_factor, variable_name)

Compute the error for a given resolution

constrain_resources(available_resources)

Constrain cpus_per_task and ntasks based on the number of cores available to this step

convergence_parameters([field_name])

Get convergence parameters

exact_solution(refinement_factor, ...[, zidx])

Get the exact solution

get_output_field(refinement_factor, ...[, zidx])

Get the model output field at the given time and z index

map_from_native_model_vars(ds)

If the model is Omega, rename dimensions and variables in a dataset from their Omega names to the MPAS-Ocean equivalent (appropriate for datasets that are output from the model)

map_to_native_model_vars(ds)

If the model is Omega, rename dimensions and variables in a dataset from their MPAS-Ocean names to the Omega equivalent (appropriate for input datasets like an initial condition)

open_model_dataset(filename, **kwargs)

Open the given dataset, mapping variable and dimension names from Omega to MPAS-Ocean names if appropriate

plot_convergence(variable_name, title, zidx)

Compute the error norm for each resolution and produce a convergence plot

process_inputs_and_outputs()

Process the inputs to and outputs from a step added with polaris.Step.add_input_file() and polaris.Step.add_output_file().

run()

Run this step of the test case

runtime_setup()

Update attributes of the step at runtime before calling the run() method.

set_resources([cpus_per_task, ...])

Update the resources for the subtask.

set_shared_config(config[, link])

Replace the step's config parser with the shared config parser

setup()

Add input files based on resolutions, which may have been changed by user config options

validate_baselines()

Compare variables between output files in this step and in the same step from a baseline run if one was provided.

write_model_dataset(ds, filename)

Write out the given dataset, mapping dimension and variable names from MPAS-Ocean to Omega names if appropriate