mpas_analysis.ocean.plot_climatology_map_subtask.PlotClimatologyMapSubtask

class mpas_analysis.ocean.plot_climatology_map_subtask.PlotClimatologyMapSubtask(parentTask, season, comparisonGridName, remapMpasClimatologySubtask, remapObsClimatologySubtask=None, refConfig=None, depth=None, removeMean=False, subtaskName=None)[source]

An analysis task for plotting 2D model fields against observations.

Attributes:
season : str

A season (key in shared.constants.monthDictionary) to be plotted.

comparisonGridName : {‘latlon’, ‘antarctic’}

The name of the comparison grid to plot.

remapMpasClimatologySubtask : RemapMpasClimatologySubtask

The subtask for remapping the MPAS climatology that this subtask will plot

remapObsClimatologySubtask : RemapObservedClimatologySubtask

The subtask for remapping the observational climatology that this subtask will plot

remapMpasRefClimatologySubtask : RemapMpasReferenceClimatologySubtask

The subtask for remapping the MPAS climatology for the reference run that this subtask will plot

removeMean : bool, optional

If True, a common mask for the model and reference data sets is computed (where both are valid) and the mean over that mask is subtracted from both the model and reference results. This is useful for data sets where the desire is to compare the spatial pattern but the mean offset is not meaningful (e.g. SSH)

outFileLabel : str

The prefix on each plot and associated XML file

fieldNameInTitle : str

The name of the field being plotted, as used in the plot title

mpasFieldName : str

The name of the variable in the MPAS timeSeriesStatsMonthly output

obsFieldName : str

The name of the variable to use from the observations file

observationTitleLabel : str

the title of the observations subplot

diffTitleLabel : str, optional

the title of the difference subplot

unitsLabel : str

the units of the plotted field, to be displayed on color bars

imageCaption : str

the caption when mousing over the plot or displaying it full screen

galleryGroup : str

the name of the group of galleries in which this plot belongs

groupSubtitle : str

the subtitle of the group in which this plot belongs (or blank if none)

groupLink : str

a short name (with no spaces) for the link to the gallery group

galleryName : str

the name of the gallery in which this plot belongs

depth : {None, float, ‘top’, ‘bot’}

Depth at which to perform the comparison, ‘top’ for the sea surface ‘bot’ for the sea floor

configSectionName : str

the name of the section where the color map and range is defined

__init__(parentTask, season, comparisonGridName, remapMpasClimatologySubtask, remapObsClimatologySubtask=None, refConfig=None, depth=None, removeMean=False, subtaskName=None)[source]

Construct one analysis subtask for each plot (i.e. each season and comparison grid) and a subtask for computing climatologies.

Parameters:
parentTask : AnalysisTask

The parent (master) task for this subtask

season : str

A season (key in shared.constants.monthDictionary) to be plotted.

comparisonGridName : {‘latlon’, ‘antarctic’}

The name of the comparison grid to plot.

remapMpasClimatologySubtask : RemapMpasClimatologySubtask

The subtask for remapping the MPAS climatology that this subtask will plot

remapObsClimatologySubtask : RemapObservedClimatologySubtask, optional

The subtask for remapping the observational climatology that this subtask will plot

refConfig : MpasAnalysisConfigParser, optional

Configuration options for a reference run (if any)

depth : {float, ‘top’, ‘bot’}, optional

Depth the data is being plotted, ‘top’ for the sea surface ‘bot’ for the sea floor

removeMean : bool, optional

If True, a common mask for the model and reference data sets is computed (where both are valid) and the mean over that mask is subtracted from both the model and reference results. This is useful for data sets where the desire is to compare the spatial pattern but the mean offset is not meaningful (e.g. SSH)

subtaskName : str, optinal

The name of the subtask. If not specified, it is plot<season>_<comparisonGridName> with a suffix indicating the depth being sliced (if any)

Methods

__init__(parentTask, season, …[, …]) Construct one analysis subtask for each plot (i.e.
add_subtask(subtask) Add a subtask to this tasks.
check_analysis_enabled(analysisOptionName[, …]) Check to make sure a given analysis is turned on, issuing a warning or raising an exception if not.
check_generate() Determines if this analysis should be generated, based on the generate config option and taskName, componentName and tags.
is_alive() Return whether process is alive
join([timeout]) Wait until child process terminates
run([writeLogFile]) Sets up logging and then runs the analysis task.
run_after(task) Only run this task after the given task has completed.
run_task() Plots a comparison of ACME/MPAS output to SST, MLD or SSS observations or a reference run
set_plot_info(outFileLabel, …[, …]) Store attributes related to plots, plot file names and HTML output.
set_start_end_date(section) Set the start and end dates in the config correspond to the start and end years in a given category of analysis
setup_and_check() Perform steps to set up the analysis and check for errors in the setup.
start() Start child process
terminate() Terminate process; sends SIGTERM signal or uses TerminateProcess()

Attributes

BLOCKED
FAIL
READY
RUNNING
SUCCESS
UNSET
authkey
daemon Return whether process is a daemon
exitcode Return exit code of process or None if it has yet to stop
ident Return identifier (PID) of process or None if it has yet to start
name
pid Return identifier (PID) of process or None if it has yet to start
sentinel Return a file descriptor (Unix) or handle (Windows) suitable for waiting for process termination.