# 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
import xarray as xr
import numpy as np
import os
from mpas_analysis.shared.plot import plot_vertical_section, plot_1D, savefig
from mpas_analysis.shared.io.utility import make_directories, build_obs_path
from mpas_analysis.shared.io import write_netcdf, subset_variables
from mpas_analysis.shared import AnalysisTask
from mpas_analysis.shared.html import write_image_xml
from mpas_analysis.shared.climatology.climatology import \
get_climatology_op_directory
[docs]class MeridionalHeatTransport(AnalysisTask): # {{{
'''
Plot meridional heat transport from the analysis member output.
Attributes
----------
mpasClimatologyTask : ``MpasClimatologyTask``
The task that produced the climatology to be remapped and plotted
controlConfig : ``MpasAnalysisConfigParser``
Configuration options for a control run (if any)
'''
# Authors
# -------
# Mark Petersen, Milena Veneziani, Xylar Asay-Davis
[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
# first, call the constructor from the base class (AnalysisTask)
super(MeridionalHeatTransport, self).__init__(
config=config,
taskName='meridionalHeatTransport',
componentName='ocean',
tags=['climatology', 'publicObs'])
self.mpasClimatologyTask = mpasClimatologyTask
self.run_after(mpasClimatologyTask)
self.controlConfig = controlConfig
# }}}
def setup_and_check(self): # {{{
'''
Perform steps to set up the analysis and check for errors in the setup.
'''
# Authors
# -------
# Mark Petersen, Milena Veneziani, Xylar Asay-Davis
# first, call setup_and_check from the base class (AnalysisTask),
# which will perform some common setup, including storing:
# self.runDirectory , self.historyDirectory, self.plotsDirectory,
# self.namelist, self.runStreams, self.historyStreams,
# self.calendar
super(MeridionalHeatTransport, self).setup_and_check()
self.startYear = self.mpasClimatologyTask.startYear
self.startDate = self.mpasClimatologyTask.startDate
self.endYear = self.mpasClimatologyTask.endYear
self.endDate = self.mpasClimatologyTask.endDate
config = self.config
self.check_analysis_enabled(
analysisOptionName='config_am_meridionalheattransport_enable',
raiseException=True)
self.sectionName = 'meridionalHeatTransport'
# Read in obs file information
compareWithObs = config.getboolean(self.sectionName,
'compareWithObservations')
self.observationsFile = None
if compareWithObs:
observationsDirectory = build_obs_path(
config, 'ocean', 'mhtSubdirectory')
observationsFile = config.get(self.sectionName, 'observationData')
observationsFile = '{}/{}'.format(observationsDirectory,
observationsFile)
if os.path.exists(observationsFile):
self.observationsFile = observationsFile
else:
print('Warning: No MHT observations file found: skip plotting '
'obs')
mainRunName = self.config.get('runs', 'mainRunName')
variableList = ['timeMonthly_avg_meridionalHeatTransportLat',
'timeMonthly_avg_meridionalHeatTransportLatZ']
self.mpasClimatologyTask.add_variables(variableList=variableList,
seasons=['ANN'])
self.xmlFileNames = []
self.filePrefixes = {}
prefixes = ['mht']
if config.getboolean(self.sectionName, 'plotVerticalSection'):
prefixes.append('mhtZ')
for prefix in prefixes:
filePrefix = '{}_{}_years{:04d}-{:04d}'.format(
prefix, mainRunName,
self.startYear, self.endYear)
self.xmlFileNames.append('{}/{}.xml'.format(self.plotsDirectory,
filePrefix))
self.filePrefixes[prefix] = filePrefix
# }}}
def run_task(self): # {{{
"""
Process MHT analysis member data if available.
Plots MHT as:
1D function of latitude
2D function of latitude and depth
"""
# Authors
# -------
# Mark Petersen, Milena Veneziani, Xylar Asay-Davis
self.logger.info("\nPlotting meridional heat transport (MHT)...")
config = self.config
mainRunName = config.get('runs', 'mainRunName')
depthLimGlobal = config.getExpression(self.sectionName,
'depthLimGlobal')
xLimGlobal = config.getExpression(self.sectionName, 'xLimGlobal')
movingAveragePoints = config.getint('meridionalHeatTransport',
'movingAveragePoints')
outputDirectory = get_climatology_op_directory(config)
make_directories(outputDirectory)
outFileName = \
'{}/meridionalHeatTransport_years{:04d}-{:04d}.nc'.format(
outputDirectory, self.startYear, self.endYear)
if os.path.exists(outFileName):
self.logger.info(' Reading results from previous analysis run...')
annualClimatology = xr.open_dataset(outFileName)
refZMid = annualClimatology.refZMid.values
binBoundaryMerHeatTrans = \
annualClimatology.binBoundaryMerHeatTrans.values
else:
# Read in depth and MHT latitude points
# Latitude is from binBoundaryMerHeatTrans
try:
restartFileName = self.runStreams.readpath('restart')[0]
except ValueError:
raise IOError('No MPAS-O restart file found: need at least '
'one for MHT calcuation')
with xr.open_dataset(restartFileName) as dsRestart:
refBottomDepth = dsRestart.refBottomDepth.values
nVertLevels = len(refBottomDepth)
refLayerThickness = np.zeros(nVertLevels)
refLayerThickness[0] = refBottomDepth[0]
refLayerThickness[1:nVertLevels] = \
refBottomDepth[1:nVertLevels] - \
refBottomDepth[0:nVertLevels - 1]
refZMid = -refBottomDepth + 0.5 * refLayerThickness
binBoundaryMerHeatTrans = None
# first try timeSeriesStatsMonthly for bin boundaries, then try
# meridionalHeatTransport stream as a backup option
for streamName in ['timeSeriesStatsMonthlyOutput',
'meridionalHeatTransportOutput']:
try:
inputFile = self.historyStreams.readpath(streamName)[0]
except ValueError:
raise IOError('At least one file from stream {} is needed '
'to compute MHT'.format(streamName))
with xr.open_dataset(inputFile) as ds:
if 'binBoundaryMerHeatTrans' in ds.data_vars:
binBoundaryMerHeatTrans = \
ds.binBoundaryMerHeatTrans.values
break
if binBoundaryMerHeatTrans is None:
raise ValueError('Could not find binBoundaryMerHeatTrans in '
'either timeSeriesStatsMonthlyOutput or '
'meridionalHeatTransportOutput streams')
binBoundaryMerHeatTrans = np.rad2deg(binBoundaryMerHeatTrans)
###################################################################
# Mark P Note: Currently only supports global MHT.
# Need to add variables merHeatTransLatRegion and
# merHeatTransLatZRegion
# These are not computed by default in ACME right now.
# Then we will need to add another section for regions with a loop
# over number of regions.
###################################################################
self.logger.info('\n Plotting global meridional heat transport')
self.logger.info(' Load data...')
climatologyFileName = self.mpasClimatologyTask.get_file_name(
season='ANN')
variableList = ['timeMonthly_avg_meridionalHeatTransportLat',
'timeMonthly_avg_meridionalHeatTransportLatZ']
annualClimatology = xr.open_dataset(climatologyFileName)
annualClimatology = subset_variables(annualClimatology,
variableList)
if 'Time' in annualClimatology.dims:
annualClimatology = annualClimatology.isel(Time=0)
annualClimatology.coords['refZMid'] = (('nVertLevels',), refZMid)
annualClimatology.coords['binBoundaryMerHeatTrans'] = \
(('nMerHeatTransBinsP1',), binBoundaryMerHeatTrans)
write_netcdf(annualClimatology, outFileName)
# **** Plot MHT ****
self.logger.info(' Plot global MHT...')
# Plot 1D MHT (zonally averaged, depth integrated)
x = binBoundaryMerHeatTrans
y = annualClimatology.timeMonthly_avg_meridionalHeatTransportLat
xLabel = 'latitude [deg]'
yLabel = 'meridional heat transport [PW]'
title = 'Global MHT (ANN, years {:04d}-{:04d})\n {}'.format(
self.startYear, self.endYear, mainRunName)
filePrefix = self.filePrefixes['mht']
figureName = '{}/{}.png'.format(self.plotsDirectory, filePrefix)
lineColors = ['k']
lineWidths = [1.6]
legendText = [mainRunName]
xArrays = [x]
fieldArrays = [y]
errArrays = [None]
if self.observationsFile is not None:
# Load in observations
dsObs = xr.open_dataset(self.observationsFile)
xObs = dsObs.LATITUDE
ncepGlobal = dsObs.GLOBALNCEP_ADJUSTED
ncepErrGlobal = dsObs.GLOBALNCEP_ERR
ecmwfGlobal = dsObs.GLOBALECMWF_ADJUSTED
ecmwfErrGlobal = dsObs.GLOBALECMWF_ERR
lineColors.extend(['b', 'g'])
lineWidths.extend([1.2, 1.2])
legendText.extend(['Trenberth and Caron - NCEP',
'Trenberth and Caron - ECMWF'])
xArrays.extend([xObs, xObs])
fieldArrays.extend([ncepGlobal, ecmwfGlobal])
errArrays.extend([ncepErrGlobal, ecmwfErrGlobal])
if self.controlConfig is not None:
controlStartYear = self.controlConfig.getint('climatology',
'startYear')
controlEndYear = self.controlConfig.getint('climatology',
'endYear')
controlDirectory = get_climatology_op_directory(self.controlConfig)
controlFileName = \
'{}/meridionalHeatTransport_years{:04d}-{:04d}.nc'.format(
controlDirectory, controlStartYear, controlEndYear)
dsControl = xr.open_dataset(controlFileName)
controlRunName = self.controlConfig.get('runs', 'mainRunName')
lineColors.append('r')
lineWidths.append(1.2)
legendText.append(controlRunName)
xArrays.append(dsControl.binBoundaryMerHeatTrans)
fieldArrays.append(
dsControl.timeMonthly_avg_meridionalHeatTransportLat)
errArrays.append(None)
if len(legendText) == 1:
# no need for a legend
legendText = [None]
plot_1D(config, xArrays, fieldArrays, errArrays,
lineColors=lineColors, lineWidths=lineWidths,
legendText=legendText, title=title, xlabel=xLabel,
ylabel=yLabel, fileout=figureName, xLim=xLimGlobal)
self._write_xml(filePrefix)
if config.getboolean(self.sectionName, 'plotVerticalSection'):
# Plot 2D MHT (zonally integrated)
# normalize 2D MHT by layer thickness
MHTLatZVar = \
annualClimatology.timeMonthly_avg_meridionalHeatTransportLatZ
MHTLatZ = MHTLatZVar.values.T[:, :]
for k in range(nVertLevels):
MHTLatZ[k, :] = MHTLatZ[k, :] / refLayerThickness[k]
x = binBoundaryMerHeatTrans
y = refZMid
z = MHTLatZ
xLabel = 'latitude [deg]'
yLabel = 'depth [m]'
title = 'Global MHT (ANN, years {:04d}-{:04d})\n {}'.format(
self.startYear, self.endYear, mainRunName)
filePrefix = self.filePrefixes['mhtZ']
outFileName = '{}/{}.png'.format(self.plotsDirectory, filePrefix)
colorbarLabel = '[PW/m]'
plot_vertical_section(config, x, y, z, self.sectionName,
suffix='', colorbarLabel=colorbarLabel,
title=title, xlabel=xLabel, ylabel=yLabel,
xLim=xLimGlobal,
yLim=depthLimGlobal, invertYAxis=False,
N=movingAveragePoints)
savefig(outFileName)
self._write_xml(filePrefix)
# }}}
def _write_xml(self, filePrefix): # {{{
caption = 'Meridional Heat Transport'
write_image_xml(
config=self.config,
filePrefix=filePrefix,
componentName='Ocean',
componentSubdirectory='ocean',
galleryGroup='Meridional Heat Transport',
groupLink='mht',
imageDescription=caption,
imageCaption=caption) # }}}
# }}}
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