Source code for mpas_analysis.sea_ice.climatology_map_sea_ice_conc

# 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/master/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.sea_ice.plot_climatology_map_subtask import \
    PlotClimatologyMapSubtask

from mpas_analysis.shared.io.utility import build_obs_path


[docs]class ClimatologyMapSeaIceConc(AnalysisTask): """ An analysis task for comparison of sea ice concentration 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 = 'climatologyMapSeaIceConc{}'.format(hemisphere) fieldName = 'seaIceConc' tags = ['climatology', 'horizontalMap', fieldName, 'publicObs'] if hemisphere == 'NH': tags = tags + ['arctic'] else: tags = tags + ['antarctic'] # call the constructor from the base class (AnalysisTask) super(ClimatologyMapSeaIceConc, self).__init__( config=config, taskName=taskName, componentName='seaIce', tags=tags) mpasFieldName = 'timeMonthly_avg_iceAreaCell' 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: self._add_obs_tasks(seasons, comparisonGridNames, hemisphere, hemisphereLong, remapClimatologySubtask, mpasFieldName) else: self._add_ref_tasks(seasons, comparisonGridNames, hemisphere, hemisphereLong, remapClimatologySubtask, controlConfig, mpasFieldName, fieldName, iselValues)
def _add_obs_tasks(self, seasons, comparisonGridNames, hemisphere, hemisphereLong, remapClimatologySubtask, mpasFieldName): config = self.config obsFieldName = 'seaIceConc' sectionName = self.taskName observationPrefixes = config.getexpression(sectionName, 'observationPrefixes') for prefix in observationPrefixes: for season in seasons: observationTitleLabel = \ 'Observations (SSM/I {})'.format(prefix) obsFileName = build_obs_path( config, 'seaIce', relativePathOption='concentration{}{}_{}'.format( prefix, hemisphere, season), relativePathSection=sectionName) remapObservationsSubtask = RemapObservedConcClimatology( parentTask=self, seasons=[season], fileName=obsFileName, outFilePrefix='{}{}{}_{}'.format( obsFieldName, prefix, hemisphere, season), comparisonGridNames=comparisonGridNames, subtaskName='remapObservations_{}{}'.format( prefix, season)) self.add_subtask(remapObservationsSubtask) for comparisonGridName in comparisonGridNames: imageDescription = \ '{} Climatology Map of {}-Hemisphere Sea-Ice ' \ 'Concentration'.format(season, hemisphereLong) imageCaption = \ '{}. <br> Observations: SSM/I {}'.format( imageDescription, prefix) galleryGroup = \ '{}-Hemisphere Sea-Ice Concentration'.format( hemisphereLong) # make a new subtask for this season and comparison # grid subtask = PlotClimatologyMapSubtask( self, hemisphere, season, comparisonGridName, remapClimatologySubtask, remapObsClimatologySubtask=remapObservationsSubtask, subtaskSuffix=prefix) subtask.set_plot_info( outFileLabel='iceconc{}{}'.format(prefix, hemisphere), fieldNameInTitle='Sea ice concentration', mpasFieldName=mpasFieldName, refFieldName=obsFieldName, refTitleLabel=observationTitleLabel, diffTitleLabel='Model - Observations', unitsLabel=r'fraction', imageDescription=imageDescription, imageCaption=imageCaption, galleryGroup=galleryGroup, groupSubtitle=None, groupLink='{}_conc'.format(hemisphere.lower()), galleryName='Observations: SSM/I {}'.format( prefix)) self.add_subtask(subtask) def _add_ref_tasks(self, seasons, comparisonGridNames, hemisphere, hemisphereLong, remapClimatologySubtask, controlConfig, mpasFieldName, fieldName, iselValues): controlRunName = controlConfig.get('runs', 'mainRunName') galleryName = None refTitleLabel = 'Control: {}'.format(controlRunName) for season in seasons: for comparisonGridName in comparisonGridNames: imageDescription = \ '{} Climatology Map of {}-Hemisphere Sea-Ice ' \ 'Concentration'.format(season, hemisphereLong) imageCaption = imageDescription galleryGroup = \ '{}-Hemisphere Sea-Ice Concentration'.format( hemisphereLong) # make a new subtask for this season and comparison # grid subtask = PlotClimatologyMapSubtask( self, hemisphere, season, comparisonGridName, remapClimatologySubtask, controlConfig=controlConfig) subtask.set_plot_info( outFileLabel='iceconc{}'.format(hemisphere), fieldNameInTitle='Sea ice concentration', mpasFieldName=mpasFieldName, refFieldName=mpasFieldName, refTitleLabel=refTitleLabel, diffTitleLabel='Main - Control', unitsLabel=r'fraction', imageDescription=imageDescription, imageCaption=imageCaption, galleryGroup=galleryGroup, groupSubtitle=None, groupLink='{}_conc'.format(hemisphere.lower()), galleryName=galleryName) self.add_subtask(subtask)
class RemapObservedConcClimatology(RemapObservedClimatologySubtask): """ A subtask for reading and remapping sea ice concentration 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({'AICE': 'seaIceConc'}) return dsObs