Source code for mpas_analysis.ocean.time_series_salinity_anomaly

# -*- coding: utf-8 -*-
# This software is open source software available under the BSD-3 license.
#
# Copyright (c) 2019 Triad National Security, LLC. All rights reserved.
# Copyright (c) 2019 Lawrence Livermore National Security, LLC. All rights
# reserved.
# Copyright (c) 2019 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

from mpas_analysis.shared import AnalysisTask

from mpas_analysis.ocean.compute_anomaly_subtask import ComputeAnomalySubtask
from mpas_analysis.ocean.plot_hovmoller_subtask import PlotHovmollerSubtask


[docs]class TimeSeriesSalinityAnomaly(AnalysisTask): """ Performs analysis of time series of salinity anomalies from the first simulation year as a function of depth. """ # Authors # ------- # Xylar Asay-Davis
[docs] def __init__(self, config, mpasTimeSeriesTask): # {{{ """ Construct the analysis task. Parameters ---------- config : instance of MpasAnalysisConfigParser Contains configuration options mpasTimeSeriesTask : ``MpasTimeSeriesTask`` The task that extracts the time series from MPAS monthly output """ # Authors # ------- # Xylar Asay-Davis # first, call the constructor from the base class (AnalysisTask) super(TimeSeriesSalinityAnomaly, self).__init__( config=config, taskName='timeSeriesSalinityAnomaly', componentName='ocean', tags=['timeSeries', 'salinity', 'publicObs']) sectionName = 'hovmollerSalinityAnomaly' regionNames = config.getExpression(sectionName, 'regions') movingAveragePoints = config.getint(sectionName, 'movingAveragePoints') mpasFieldName = 'timeMonthly_avg_avgValueWithinOceanLayerRegion_' \ 'avgLayerSalinity' timeSeriesFileName = 'regionAveragedSalinityAnomaly.nc' anomalyTask = ComputeAnomalySubtask( parentTask=self, mpasTimeSeriesTask=mpasTimeSeriesTask, outFileName=timeSeriesFileName, variableList=[mpasFieldName], movingAveragePoints=movingAveragePoints) self.add_subtask(anomalyTask) for regionName in regionNames: caption = 'Trend of {} Salinity Anomaly vs depth'.format( regionName) plotTask = PlotHovmollerSubtask( parentTask=self, regionName=regionName, inFileName=timeSeriesFileName, outFileLabel='SAnomalyZ', fieldNameInTitle='Salinity Anomaly', mpasFieldName=mpasFieldName, unitsLabel='[PSU]', sectionName=sectionName, thumbnailSuffix=u'ΔS', imageCaption=caption, galleryGroup='Trends vs Depth', groupSubtitle=None, groupLink='trendsvsdepth', galleryName=None) plotTask.run_after(anomalyTask) self.add_subtask(plotTask)
# }}} # }}} # vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python