# This software is open source software available under the BSD-3 license.
#
# Copyright (c) 2022 Triad National Security, LLC. All rights reserved.
# Copyright (c) 2022 Lawrence Livermore National Security, LLC. All rights
# reserved.
# Copyright (c) 2022 UT-Battelle, LLC. All rights reserved.
#
# Additional copyright and license information can be found in the LICENSE file
# distributed with this code, or at
# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/main/LICENSE
import xarray as xr
from pyremap import LatLonGridDescriptor
from mpas_analysis.shared import AnalysisTask
from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask, \
RemapObservedClimatologySubtask
from mpas_analysis.shared.plot import PlotClimatologyMapSubtask
from mpas_analysis.shared.io.utility import build_obs_path
[docs]
class ClimatologyMapSeaIceThick(AnalysisTask):
"""
An analysis task for comparison of sea ice thickness against
observations
"""
# Authors
# -------
# Luke Van Roekel, Xylar Asay-Davis, Milena Veneziani
[docs]
def __init__(self, config, mpasClimatologyTask, hemisphere,
controlConfig=None):
"""
Construct the analysis task.
Parameters
----------
config : mpas_tools.config.MpasConfigParser
Configuration options
mpasClimatologyTask : ``MpasClimatologyTask``
The task that produced the climatology to be remapped and plotted
hemisphere : {'NH', 'SH'}
The hemisphere to plot
controlConfig : mpas_tools.config.MpasConfigParser, optional
Configuration options for a control run (if any)
"""
# Authors
# -------
# Xylar Asay-Davis
taskName = f'climatologyMapSeaIceThick{hemisphere}'
fieldName = 'seaIceThick'
tags = ['climatology', 'horizontalMap', fieldName, 'publicObs']
if hemisphere == 'NH':
tags = tags + ['arctic']
else:
tags = tags + ['antarctic']
# call the constructor from the base class (AnalysisTask)
super(ClimatologyMapSeaIceThick, self).__init__(
config=config, taskName=taskName,
componentName='seaIce',
tags=tags)
mpasFieldName = 'timeMonthly_avg_iceVolumeCell'
iselValues = None
sectionName = taskName
if hemisphere == 'NH':
hemisphereLong = 'Northern'
else:
hemisphereLong = 'Southern'
# read in what seasons we want to plot
seasons = config.getexpression(sectionName, 'seasons')
if len(seasons) == 0:
raise ValueError(f'config section {sectionName} does not contain '
f'a valid list of seasons')
comparisonGridNames = config.getexpression(sectionName,
'comparisonGrids')
if len(comparisonGridNames) == 0:
raise ValueError(f'config section {sectionName} does not contain '
f'a valid list of comparison grids')
# the variable self.mpasFieldName will be added to mpasClimatologyTask
# along with the seasons.
remapClimatologySubtask = RemapMpasClimatologySubtask(
mpasClimatologyTask=mpasClimatologyTask,
parentTask=self,
climatologyName=f'{fieldName}{hemisphere}',
variableList=[mpasFieldName],
comparisonGridNames=comparisonGridNames,
seasons=seasons,
iselValues=iselValues)
if controlConfig is None:
refTitleLabel = 'Observations (ICESat)'
galleryName = 'Observations: ICESat'
diffTitleLabel = 'Model - Observations'
refFieldName = 'seaIceThick'
else:
controlRunName = controlConfig.get('runs', 'mainRunName')
galleryName = None
refTitleLabel = f'Control: {controlRunName}'
refFieldName = mpasFieldName
diffTitleLabel = 'Main - Control'
for season in seasons:
if controlConfig is None:
obsFileName = build_obs_path(
config, 'seaIce',
relativePathOption=f'thickness{hemisphere}_{season}',
relativePathSection=sectionName)
remapObservationsSubtask = RemapObservedThickClimatology(
parentTask=self, seasons=[season],
fileName=obsFileName,
outFilePrefix=f'{refFieldName}{hemisphere}_{season}',
comparisonGridNames=comparisonGridNames,
subtaskName=f'remapObservations{season}')
self.add_subtask(remapObservationsSubtask)
else:
remapObservationsSubtask = None
for comparisonGridName in comparisonGridNames:
imageCaption = \
f'Climatology Map of {hemisphereLong}-Hemisphere ' \
f'Sea-Ice Thickness.'
galleryGroup = \
f'{hemisphereLong}-Hemisphere Sea-Ice Thickness'
# make a new subtask for this season and comparison grid
subtaskName = f'plot{season}_{comparisonGridName}'
subtask = PlotClimatologyMapSubtask(
parentTask=self, season=season,
comparisonGridName=comparisonGridName,
remapMpasClimatologySubtask=remapClimatologySubtask,
remapObsClimatologySubtask=remapObservationsSubtask,
subtaskName=subtaskName,
controlConfig=controlConfig)
subtask.set_plot_info(
outFileLabel=f'icethick{hemisphere}',
fieldNameInTitle='Sea ice thickness',
mpasFieldName=mpasFieldName,
refFieldName=refFieldName,
refTitleLabel=refTitleLabel,
diffTitleLabel=diffTitleLabel,
unitsLabel=r'm',
imageCaption=imageCaption,
galleryGroup=galleryGroup,
groupSubtitle=None,
groupLink=f'{hemisphere.lower()}_thick',
galleryName=galleryName,
maskMinThreshold=0,
extend='neither')
self.add_subtask(subtask)
class RemapObservedThickClimatology(RemapObservedClimatologySubtask):
"""
A subtask for reading and remapping sea ice thickness observations
"""
# Authors
# -------
# Xylar Asay-Davis
def get_observation_descriptor(self, fileName):
"""
get a MeshDescriptor for the observation grid
Parameters
----------
fileName : str
observation file name describing the source grid
Returns
-------
obsDescriptor : ``MeshDescriptor``
The descriptor for the observation grid
"""
# Authors
# -------
# Xylar Asay-Davis
# create a descriptor of the observation grid using the lat/lon
# coordinates
obsDescriptor = LatLonGridDescriptor.read(fileName=fileName,
latVarName='t_lat',
lonVarName='t_lon')
return obsDescriptor
def build_observational_dataset(self, fileName):
"""
read in the data sets for observations, and possibly rename some
variables and dimensions
Parameters
----------
fileName : str
observation file name
Returns
-------
dsObs : ``xarray.Dataset``
The observational dataset
"""
# Authors
# -------
# Xylar Asay-Davis
dsObs = xr.open_dataset(fileName)
dsObs = dsObs.rename({'HI': 'seaIceThick'})
return dsObs