# This software is open source software available under the BSD-3 license.
#
# Copyright (c) 2020 Triad National Security, LLC. All rights reserved.
# Copyright (c) 2020 Lawrence Livermore National Security, LLC. All rights
# reserved.
# Copyright (c) 2020 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/master/LICENSE
from __future__ import absolute_import, division, print_function, \
unicode_literals
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.sea_ice.plot_climatology_map_subtask 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 : ``MpasAnalysisConfigParser``
Configuration options
mpasClimatologyTask : ``MpasClimatologyTask``
The task that produced the climatology to be remapped and plotted
hemisphere : {'NH', 'SH'}
The hemisphere to plot
controlConfig : ``MpasAnalysisConfigParser``, optional
Configuration options for a control run (if any)
"""
# Authors
# -------
# Xylar Asay-Davis
taskName = 'climatologyMapSeaIceThick{}'.format(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('config section {} does not contain valid list '
'of seasons'.format(sectionName))
comparisonGridNames = config.getExpression(sectionName,
'comparisonGrids')
if len(comparisonGridNames) == 0:
raise ValueError('config section {} does not contain valid list '
'of comparison grids'.format(sectionName))
# the variable self.mpasFieldName will be added to mpasClimatologyTask
# along with the seasons.
remapClimatologySubtask = RemapMpasClimatologySubtask(
mpasClimatologyTask=mpasClimatologyTask,
parentTask=self,
climatologyName='{}{}'.format(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 = 'Control: {}'.format(controlRunName)
refFieldName = mpasFieldName
diffTitleLabel = 'Main - Control'
remapObservationsSubtask = None
for season in seasons:
if controlConfig is None:
obsFileName = build_obs_path(
config, 'seaIce',
relativePathOption='thickness{}_{}'.format(hemisphere,
season),
relativePathSection=sectionName)
remapObservationsSubtask = RemapObservedThickClimatology(
parentTask=self, seasons=[season],
fileName=obsFileName,
outFilePrefix='{}{}_{}'.format(refFieldName,
hemisphere,
season),
comparisonGridNames=comparisonGridNames,
subtaskName='remapObservations{}'.format(season))
self.add_subtask(remapObservationsSubtask)
for comparisonGridName in comparisonGridNames:
imageDescription = \
'{} Climatology Map of {}-Hemisphere Sea-Ice ' \
'Thickness.'.format(season, hemisphereLong)
imageCaption = imageDescription
galleryGroup = \
'{}-Hemisphere Sea-Ice Thickness'.format(
hemisphereLong)
# make a new subtask for this season and comparison grid
subtask = PlotClimatologyMapSubtask(
self, hemisphere, season, comparisonGridName,
remapClimatologySubtask, remapObservationsSubtask,
controlConfig)
subtask.set_plot_info(
outFileLabel='icethick{}'.format(hemisphere),
fieldNameInTitle='Sea ice thickness',
mpasFieldName=mpasFieldName,
refFieldName=refFieldName,
refTitleLabel=refTitleLabel,
diffTitleLabel=diffTitleLabel,
unitsLabel=r'm',
imageDescription=imageDescription,
imageCaption=imageCaption,
galleryGroup=galleryGroup,
groupSubtitle=None,
groupLink='{}_thick'.format(hemisphere.lower()),
galleryName=galleryName,
maskValue=0)
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
# }}}
# }}}
# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python