# 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
import datetime
from pyremap import LatLonGridDescriptor
from mpas_analysis.shared import AnalysisTask
from mpas_analysis.shared.io.utility import build_obs_path
from mpas_analysis.shared.climatology import RemapMpasClimatologySubtask, \
RemapObservedClimatologySubtask
from mpas_analysis.ocean.plot_climatology_map_subtask import \
PlotClimatologyMapSubtask
[docs]class ClimatologyMapSSS(AnalysisTask): # {{{
"""
An analysis task for comparison of sea surface salinity (sss) against
observations
"""
# Authors
# -------
# Luke Van Roekel, Xylar Asay-Davis, Milena Veneziani
[docs] def __init__(self, config, mpasClimatologyTask,
controlConfig=None): # {{{
"""
Construct the analysis task.
Parameters
----------
config : ``MpasAnalysisConfigParser``
Configuration options
mpasClimatologyTask : ``MpasClimatologyTask``
The task that produced the climatology to be remapped and plotted
controlConfig : ``MpasAnalysisConfigParser``, optional
Configuration options for a control run (if any)
"""
# Authors
# -------
# Xylar Asay-Davis
fieldName = 'sss'
# call the constructor from the base class (AnalysisTask)
super(ClimatologyMapSSS, self).__init__(
config=config, taskName='climatologyMapSSS',
componentName='ocean',
tags=['climatology', 'horizontalMap', fieldName, 'publicObs'])
mpasFieldName = 'timeMonthly_avg_activeTracers_salinity'
iselValues = {'nVertLevels': 0}
sectionName = self.taskName
# 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=fieldName,
variableList=[mpasFieldName],
comparisonGridNames=comparisonGridNames,
seasons=seasons,
iselValues=iselValues)
if controlConfig is None:
refTitleLabel = \
'Observations (Aquarius, 2011-2014)'
observationsDirectory = build_obs_path(
config, 'ocean', '{}Subdirectory'.format(fieldName))
obsFileName = \
"{}/Aquarius_V3_SSS_Monthly_20180710.nc".format(
observationsDirectory)
refFieldName = 'sss'
outFileLabel = 'sssAquarius'
galleryName = 'Observations: Aquarius'
remapObservationsSubtask = RemapObservedSSSClimatology(
parentTask=self, seasons=seasons, fileName=obsFileName,
outFilePrefix=refFieldName,
comparisonGridNames=comparisonGridNames)
self.add_subtask(remapObservationsSubtask)
diffTitleLabel = 'Model - Observations'
else:
remapObservationsSubtask = None
controlRunName = controlConfig.get('runs', 'mainRunName')
galleryName = None
refTitleLabel = 'Control: {}'.format(controlRunName)
refFieldName = mpasFieldName
outFileLabel = 'sss'
diffTitleLabel = 'Main - Control'
for comparisonGridName in comparisonGridNames:
for season in seasons:
# make a new subtask for this season and comparison grid
subtask = PlotClimatologyMapSubtask(
self, season, comparisonGridName, remapClimatologySubtask,
remapObservationsSubtask, controlConfig=controlConfig)
subtask.set_plot_info(
outFileLabel=outFileLabel,
fieldNameInTitle='SSS',
mpasFieldName=mpasFieldName,
refFieldName=refFieldName,
refTitleLabel=refTitleLabel,
diffTitleLabel=diffTitleLabel,
unitsLabel=r'PSU',
imageCaption='Mean Sea Surface Salinity',
galleryGroup='Sea Surface Salinity',
groupSubtitle=None,
groupLink='sss',
galleryName=galleryName)
self.add_subtask(subtask)
# }}}
# }}}
class RemapObservedSSSClimatology(RemapObservedClimatologySubtask): # {{{
"""
A subtask for reading and remapping SSS observations
"""
# Authors
# -------
# Luke Van Roekel, Xylar Asay-Davis, Milena Veneziani
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='lat',
lonVarName='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
timeStart = datetime.datetime(2011, 8, 1)
timeEnd = datetime.datetime(2014, 12, 31)
dsObs = xr.open_dataset(fileName)
dsObs = dsObs.rename({'time': 'Time', 'SSS': 'sss'})
dsObs = dsObs.sel(Time=slice(timeStart, timeEnd))
dsObs.coords['month'] = dsObs['Time.month']
dsObs.coords['year'] = dsObs['Time.year']
return dsObs # }}}
# }}}
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