Source code for mpas_analysis.ocean.climatology_map_sss

# 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
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.shared.plot 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 : mpas_tools.config.MpasConfigParser Configuration options mpasClimatologyTask : ``MpasClimatologyTask`` The task that produced the climatology to be remapped and plotted controlconfig : mpas_tools.config.MpasConfigParser, 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