config.default

## This file contains the default values of all possible configuration options
## used to run analysis tasks.  Do not modify options in this file direct.
## Instead, follow this procedure:
##  1. Create and empty config file (say config.myrun) or copy one of the
##     example files in the configs directory.
##  2. Copy and modify any config options you want to change from this file into
##     into your new config file. Make sure they have the right section name
##     (e.g. [run] or [output]). If nothing esle, you will need to set
##     baseDirectory under [output] to the folder where output should be stored.
##  3. run: ./run_analysis.py config.myrun.  This will read the configuraiton
##     first from this file and then replace that configuraiton with any
##     changes from from config.myrun
##  4. If you want to run a subset of the analysis, you can either set the
##     generate option under [output] in your config file or use the
##     --generate flag on the command line.  See the comments for 'generate'
##     in the '[output]' section below for more details on this option.


[runs]
## options related to the run to be analyzed and reference runs to be
## compared against

# mainRunName is a name that identifies the simulation being analyzed.
mainRunName = runName
# referenceRunName is the name of a reference run to compare against (or None
# to turn off comparison with a reference, e.g. if no reference case is
# available)
referenceRunName = None
# preprocessedReferenceRunName is the name of a reference run that has been
# preprocessed to compare against (or None to turn off comparison).  Reference
# runs of this type would have preprocessed results because they were not
# performed with MPAS components (so they cannot be easily ingested by
# MPAS-Analysis)
preprocessedReferenceRunName = None

[execute]
## options related to executing parallel tasks

# the number of parallel tasks (1 means tasks run in serial, the default)
parallelTaskCount = 1

# Prefix on the commnd line before a parallel task (e.g. 'srun -n 1 python')
# Default is no prefix (run_analysis.py is executed directly)
commandPrefix = 

[input]
## options related to reading in the results to be analyzed

# directory containing model results
baseDirectory = /dir/to/model/output

# Note: an absolute path can be supplied for any of these subdirectories.
# A relative path is assumed to be relative to baseDirectory.
# By default, results are assumed to be directly in baseDirectory,
# i.e. <baseDirecory>/./

# subdirectory containing restart files
runSubdirectory = .
# subdirectory for ocean history files
oceanHistorySubdirectory = .
# subdirectory for sea ice history files
seaIceHistorySubdirectory = .

# names of namelist and streams files, either a path relative to baseDirectory
# or an absolute path.
oceanNamelistFileName = mpas-o_in
oceanStreamsFileName = streams.ocean
seaIceNamelistFileName = mpas-cice_in
seaIceStreamsFileName = streams.cice

# names of ocean and sea ice meshes (e.g. EC60to30, QU240, RRS30to10, etc.)
mpasMeshName = mesh

# The system has a limit to how many files can be open at one time.  By
# default, xarray attempts to open all files in a data set simultaneously.
# A new option allows files to be automatically closed as a data set is being
# read to prevent hitting this limit.  Here, you can set what fraction of the
# system limit of open files an analysis task is allowed to use.  Note: In the
# future when multiple tasks can run simultaneously, the system file limit will
# first be divided among the tasks before applying this fraction.
autocloseFileLimitFraction = 0.5

# Large datasets can encounter a memory error.  Specification of a maximum
# chunk size `maxChunkSize` can be helpful to prevent the memory error.  The
# current maximum chunk size assumes approximately 64GB of ram and large files
# with a single time slice.
maxChunkSize = 10000

[output]
## options related to writing out plots, intermediate cached data sets, logs,
## etc.

# directory where analysis should be written
# NOTE: This directory path must be specific to each test case.
baseDirectory = /dir/to/analysis/output

# subdirectories within baseDirectory for analysis output
scratchSubdirectory = scratch
plotsSubdirectory = plots
logsSubdirectory = logs
mpasClimatologySubdirectory = clim/mpas
mpasRegriddedClimSubdirectory = clim/mpas/regridded
mappingSubdirectory = mapping
timeSeriesSubdirectory = timeseries

# a list of analyses to generate.  Valid names are:
#   'timeSeriesOHC', 'timeSeriesSST', 'climatologyMapSST',
#   'climatologyMapSSS', 'climatologyMapMLD', 'streamfunctionMOC',
#   'indexNino34', 'meridionalHeatTransport',
#   'timeSeriesSeaIceAreaVol', 'climatologyMapSeaIceConcThick'
# the following shortcuts exist:
#   'all' -- all analyses will be run
#   'all_timeSeries' -- all time-series analyses will be run
#   'all_climatology' -- all analyses involving climatologies
#   'all_horizontalMap' -- all analyses involving horizontal climatology maps
#   'all_ocean' -- all ocean analyses will be run
#   'all_seaIce' -- all sea-ice analyses will be run
#   'no_timeSeriesOHC' -- skip 'timeSeriesOHC' (and similarly with the
#                             other analyses).
#   'no_ocean', 'no_timeSeries', etc. -- in analogy to 'all_*', skip the
#                                            given category of analysis
# an equivalent syntax can be used on the command line to override this
# option:
#    ./run_analysis.py config.analysis --generate \
#         all,no_ocean,all_timeSeries
generate = ['all']

# alternative examples that would perform all analysis except
#   'timeSeriesOHC'
#generate = ['all', 'no_timeSeriesOHC']
# Each subsequent list entry can be used to alter previous list entries. For
# example, the following would run all tasks that aren't ocean analyses,
# except that it would also run ocean time series tasks:
#generate = ['all', 'no_ocean', 'all_timeSeries']

[climatology]
## options related to producing climatologies, typically to compare against
## observations and previous runs

# the first year over which to average climatalogies
startYear = 11
# the last year over which to average climatalogies
endYear = 20

# The comparison grid resolution in degrees
comparisonLatResolution = 0.5
comparisonLonResolution = 0.5

# The names of the mapping file used for interpolation.  If a mapping file has
# already been generated, supplying the absolute path can save the time of
# generating a new one.  If nothing is supplied, the file name is automatically
# generated based on the MPAS mesh name, the comparison grid resolution, and
# the interpolation method
# mpasMappingFile = /path/to/mapping/file

# overwrite files when building climatologies?
overwriteMpasClimatology = False

# interpolation order for model and observation results. Likely values are
#   'bilinear', 'neareststod' (nearest neighbor) or 'conserve'
mpasInterpolationMethod = bilinear

# the number of years per cached climatology file.  These cached files are
# aggregated together to create annual climatologies, for example, when
# computing the MOC.
yearsPerCacheFile = 1

# should remapping be performed with ncremap or with the Remapper class
# directly in MPAS-Analysis
useNcremap = True

# The minimum weight of a destination cell after remapping. Any cell with
# weights lower than this threshold will therefore be masked out.
renormalizationThreshold = 0.01

[timeSeries]
## options related to producing time series plots, often to compare against
## observations and previous runs

# start and end years for timeseries analysis. Using out-of-bounds values
#   like start_year = 1 and end_year = 9999 will be clipped to the valid range
#   of years, and is a good way of insuring that all values are used.
startYear = 1
endYear = 9999

[index]
## options related to producing nino index.

# start and end years for the nino 3.4 analysis.  Using out-of-bounds values
#   like start_year = 1 and end_year = 9999 will be clipped to the valid range
#   of years, and is a good way of insuring that all values are used.
# For valid statistics, index times should include at least 30 years
startYear = 1
endYear = 9999

[oceanObservations]
## options related to ocean observations with which the results will be compared

# directory where ocean observations are stored
baseDirectory = /dir/to/ocean/observations
sstSubdirectory = SST
sssSubdirectory = SSS
mldSubdirectory = MLD
ninoSubdirectory = Nino
mhtSubdirectory = MHT

# first and last year of SST observational climatology (preferably one of the
# two ranges given below)
# values for preindustrial
sstClimatologyStartYear = 1870
sstClimatologyEndYear = 1900
# alternative values for present day
#sstClimatologyStartYear = 1990
#sstClimatologyEndYear = 2011

# The name of mapping files used for interpolating observations to the
# comparison grid.  Interpolation is only performed if the observation grid has
# a different resolution from the comparison grid. If nothing is supplied, the
# file name is automatically generated based on the MPAS mesh name, the
# comparison grid resolution, and the interpolation method
# sstClimatologyMappingFile = /path/to/mapping/file
# sssClimatologyMappingFile = /path/to/mapping/file
# mldClimatologyMappingFile = /path/to/mapping/file


# interpolation order for observations. Likely values are
#   'bilinear', 'neareststod' (nearest neighbor) or 'conserve'
interpolationMethod = bilinear

# The directories where observation climatologies will be stored if they need
# to be computed.  If a relative path is supplied, it is relative to the output
# base directory.  If an absolute path is supplied, this should point to
# cached climatology files on the desired comparison grid, in which case
# overwriteObsClimatology should be False.  If cached regridded files are
# supplied, there is no need to provide cached files before regridding.
climatologySubdirectory = clim/obs
regriddedClimSubdirectory = clim/obs/regridded

# overwrite files when building climatologies?
overwriteObsClimatology = False

[oceanReference]
## options related to ocean reference run with which the results will be
## compared

# directory where ocean reference simulation results are stored
baseDirectory = /dir/to/ocean/reference

[oceanPreprocessedReference]
## options related to preprocessed ocean reference run with which the results
## will be compared (e.g. a POP, CESM or ACME v0 run)

# directory where ocean reference simulation results are stored
baseDirectory = /dir/to/ocean/reference
 
[seaIceObservations]
## options related to sea ice observations with which the results will be
## compared
 
# directory where sea ice observations are stored
baseDirectory = /dir/to/seaice/observations
areaNH = IceArea_timeseries/iceAreaNH_climo.nc
areaSH = IceArea_timeseries/iceAreaSH_climo.nc
volNH = PIOMAS/PIOMASvolume_monthly_climo.nc
volSH = none
concentrationNASATeamNH_JFM = SSMI/NASATeam_NSIDC0051/SSMI_NASATeam_gridded_concentration_NH_jfm.interp0.5x0.5.nc
concentrationNASATeamNH_JAS = SSMI/NASATeam_NSIDC0051/SSMI_NASATeam_gridded_concentration_NH_jas.interp0.5x0.5.nc
concentrationNASATeamSH_DJF = SSMI/NASATeam_NSIDC0051/SSMI_NASATeam_gridded_concentration_SH_djf.interp0.5x0.5.nc
concentrationNASATeamSH_JJA = SSMI/NASATeam_NSIDC0051/SSMI_NASATeam_gridded_concentration_SH_jja.interp0.5x0.5.nc
concentrationBootstrapNH_JFM = SSMI/Bootstrap_NSIDC0079/SSMI_Bootstrap_gridded_concentration_NH_jfm.interp0.5x0.5.nc
concentrationBootstrapNH_JAS = SSMI/Bootstrap_NSIDC0079/SSMI_Bootstrap_gridded_concentration_NH_jas.interp0.5x0.5.nc
concentrationBootstrapSH_DJF = SSMI/Bootstrap_NSIDC0079/SSMI_Bootstrap_gridded_concentration_SH_djf.interp0.5x0.5.nc
concentrationBootstrapSH_JJA = SSMI/Bootstrap_NSIDC0079/SSMI_Bootstrap_gridded_concentration_SH_jja.interp0.5x0.5.nc
thicknessNH_ON = ICESat/ICESat_gridded_mean_thickness_NH_on.interp0.5x0.5.nc
thicknessNH_FM = ICESat/ICESat_gridded_mean_thickness_NH_fm.interp0.5x0.5.nc
thicknessSH_ON = ICESat/ICESat_gridded_mean_thickness_SH_on.interp0.5x0.5.nc
thicknessSH_FM = ICESat/ICESat_gridded_mean_thickness_SH_fm.interp0.5x0.5.nc

# The name of mapping files used for interpolating observations to the
# comparison grid.  Interpolation is only performed if the observation grid has
# a different resolution from the comparison grid. If nothing is supplied, the
# file name is automatically generated based on the MPAS mesh name, the
# comparison grid resolution, and the interpolation method
# seaIceClimatologyMappingFile = /path/to/mapping/file

# interpolation order for observations. Likely values are
#   'bilinear', 'neareststod' (nearest neighbor) or 'conserve'
interpolationMethod = bilinear

# The directories where observation climatologies will be stored if they need
# to be computed.  If a relative path is supplied, it is relative to the output
# base directory.  If an absolute path is supplied, this should point to
# cached climatology files on the desired comparison grid, in which case
# overwriteObsClimatology should be False.  If cached regridded files are
# supplied, there is no need to provide cached files before regridding.
climatologySubdirectory = clim/obs
regriddedClimSubdirectory = clim/obs/regridded

# overwrite files when building climatologies?
overwriteObsClimatology = False

[seaIceReference]
## options related to sea ice reference run with which the results will be
## compared

# directory where sea ice reference simulation results are stored
baseDirectory = /dir/to/seaice/reference

[seaIcePreprocessedReference]
## options related to preprocessed sea ice reference run with which the results
## will be compared (e.g. a CICE, CESM or ACME v0 run)

# directory where ocean reference simulation results are stored
baseDirectory = /dir/to/seaice/reference

[timeSeriesOHC]
## options related to plotting time series of ocean heat content (OHC)

# compare to observations?
compareWithObservations = False
# list of region indices to plot from the region list in [regions] below
regionIndicesToPlot = [6]
# Number of points over which to compute moving average (e.g., for monthly
# output, movingAveragePoints=12 corresponds to a 12-month moving average
# window)
movingAveragePoints = 12

[timeSeriesSST]
## options related to plotting time series of sea surface temperature (SST)

# compare to observations?
compareWithObservations = True
# list of region indices to plot from the region list in [regions] below
regionIndicesToPlot = [6]
# Number of points over which to compute moving average (e.g., for monthly
# output, movingAveragePoints=12 corresponds to a 12-month moving average
# window)
movingAveragePoints = 12

[indexNino34]
## options related to plotting time series of the El Nino 3.4 index

# Specified region for the Nino Index, 5 = Nino34, 3 = Nino3, 4 = Nino4
# The indexNino34 routine only accepts one value at a time,
# regionIndicesToPlot should be an integer
regionIndicesToPlot = 5

# Data source to read for comparison.  There are three options
# 1 - ERS SSTv4 -- Updated version of previous -- 1854 - 2016
# 2 - HADIsst -- Hadley center analysis -- 1870 - 2016
observationData = HADIsst

[meridionalHeatTransport]
## options related to plotting meridional heat transport (MHT)

# Data source to read for comparison
observationData = mht_TrenberthCaron.NoAtm.nc

# colormap for model results
colormapNameGlobal = RdBu_r
colormapNameAtlantic = RdBu_r
colormapNameIndoPacific = RdBu_r
# colormap indices for contour color
colormapIndicesGlobal = [0, 28, 57, 85, 113, 142, 170, 198, 227, 255]
colormapIndicesAtlantic = [0, 28, 57, 85, 113, 142, 170, 198, 227, 255]
colormapIndicesIndoPacific = [0, 28, 57, 85, 113, 142, 170, 198, 227, 255]
# colorbar levels/values for contour boundaries
colorbarLevelsGlobal = [-0.1, -0.05, -0.02, -0.01, -0.005, 0, 0.005, 0.01, 0.02, 0.05, 0.1]
colorbarLevelsAtlantic = [-0.1, -0.05, -0.02, -0.01, -0.005, 0, 0.005, 0.01, 0.02, 0.05, 0.1]
colorbarLevelsIndoPacific = [-0.1, -0.05, -0.02, -0.01, -0.005, 0, 0.005, 0.01, 0.02, 0.05, 0.1]
# contour line levels
contourLevelsGlobal = [-0.1, -0.01, 0.01, 0.1]
contourLevelsAtlantic = [-0.1, -0.01, 0.01, 0.1]
contourLevelsPacific = [-0.1, -0.01, 0.01, 0.1]

# latitude and depth limits
xLimGlobal = [-80, 80]
depthLimGlobal = [-1000, 0]

# compare to observations?
compareWithObservations = True

[streamfunctionMOC]
## options related to plotting the streamfunction of the meridional overturning
## circulation (MOC)

# Region names for basin MOC calculation.
# Supported options are Atlantic and IndoPacific
regionNames = ['Atlantic']

# Mask file for post-processing regional MOC computation
regionMaskFiles = /path/to/MOCregional/mapping/file

# xarray (with dask) divides data sets into "chunks", allowing computations
# to be made on data that is larger than the available memory.  MPAS-Analysis
# supports setting a maximum chunk size for data sets generally, and a
# separate option specific to loading the 3D velocity field in the MOC
# specifically.  By default, maxChunkSize is left undefined, so that chunking
# is handled automatically.  If the MOC calculation encounters memory problems,
# consider setting maxChunkSize to a number significantly lower than nEdges
# in your MPAS mesh so that the calculation will be divided into smaller
# pieces. 
# Note, need to use maxChunkSize for the 18to6
# maxChunkSize = 1000

# Size of latitude bins over which MOC streamfunction is integrated
latBinSizeGlobal = 1.
latBinSizeAtlantic = 0.5
latBinSizeIndoPacific = 0.5

# colormap for model results
colormapNameGlobal = RdYlBu_r
colormapNameAtlantic = RdYlBu_r
colormapNameIndoPacific = RdYlBu_r
# colormap indices for contour color
colormapIndicesGlobal = [0, 40, 80, 110, 140, 170, 200, 230, 255]
colormapIndicesAtlantic = [0, 40, 80, 110, 140, 170, 200, 230, 255]
colormapIndicesIndoPacific = [0, 40, 80, 110, 140, 170, 200, 230, 255]
# colorbar levels/values for contour boundaries
colorbarLevelsGlobal = [-20, -10, -5, -2, 2, 5, 10, 20, 30, 40]
colorbarLevelsAtlantic = [-10, -5, -2, 0, 5, 8, 10, 14, 18, 22]
colorbarLevelsIndoPacific = [-10, -5, -2, 0, 5, 8, 10, 14, 18, 22]
# contour line levels
contourLevelsGlobal = np.arange(-25.1, 35.1, 10)
contourLevelsAtlantic = np.arange(-8, 20.1, 2)
contourLevelsIndoPacific = np.arange(-8, 20.1, 2)

# compare to observations?
compareWithObservations = True

# Number of points over which to compute moving average for
# MOC timeseries (e.g., for monthly output, movingAveragePoints=12
# corresponds to a 12-month moving average window)
movingAveragePoints = 12

[timeSeriesSeaIceAreaVol]
## options related to plotting time series of sea ice area and volume

# compare to observations?
compareWithObservations = True
# list of region indices to plot from the region list in [regions] below
regionIndicesToPlot = [6]
# Number of points over which to compute moving average (e.g., for monthly
# output, movingAveragePoints=12 corresponds to a 12-month moving average
# window)
movingAveragePoints = 1
# title font properties
titleFontSize = 18
# plot on polar plot
polarPlot = False

[climatologyMapSST]
## options related to plotting horizontally regridded climatologies of
## sea surface temperature (SST) against reference model results and
## observations

# colormap for model/observations
colormapNameResult = RdYlBu_r
# color indices into colormapName for filled contours
colormapIndicesResult = [0, 40, 80, 110, 140, 170, 200, 230, 255]
# colormap levels/values for contour boundaries
colorbarLevelsResult = [-2, 0, 2, 6, 10, 16, 22, 26, 28, 32]

# colormap for differences
colormapNameDifference = RdBu_r
# color indices into colormapName for filled contours
colormapIndicesDifference = [0, 28, 57, 85, 113, 142, 170, 198, 227, 255]
# colormap levels/values for contour boundaries
colorbarLevelsDifference = [-5, -3, -2, -1, 0, 1, 2, 3, 5]

# Times for comparison times (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
comparisonTimes =  ['JFM', 'JAS', 'ANN']

[climatologyMapSSS]
## options related to plotting horizontally regridded climatologies of
## sea surface salinity (SSS) against reference model results and observations

# colormap for model/observations
colormapNameResult = RdYlBu_r
# color indices into colormapName for filled contours
colormapIndicesResult = [0, 40, 80, 110, 140, 170, 200, 230, 255]
# colormap levels/values for contour boundaries
colorbarLevelsResult = [28, 29, 30, 31, 32, 33, 34, 35, 36, 38]

# colormap for differences
colormapNameDifference = RdBu_r
# color indices into colormapName for filled contours
colormapIndicesDifference = [0, 28, 57, 85, 113, 142, 170, 198, 227, 255]
# colormap levels/values for contour boundaries
colorbarLevelsDifference = [-3, -2, -1, -0.5, 0, 0.5, 1, 2, 3]

# Times for comparison times (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
comparisonTimes =  ['JFM', 'JAS', 'ANN']

[climatologyMapMLD]
## options related to plotting horizontally regridded climatologies of
## mixed layer depth (MLD) against reference model results and observations

# colormap for model/observations
colormapNameResult = viridis
# color indices into colormapName for filled contours
colormapIndicesResult = [0, 40, 80, 110, 140, 170, 200, 230, 255]
# colormap levels/values for contour boundaries
colorbarLevelsResult = [0, 20, 40, 60, 80, 100, 150, 200, 400, 800]

# colormap for differences
colormapNameDifference = RdBu_r
# color indices into colormapName for filled contours
colormapIndicesDifference = [0, 28, 57, 85, 113, 142, 170, 198, 227, 255]
# colormap levels/values for contour boundaries
colorbarLevelsDifference = [-150, -80, -30, -10, 0, 10, 30, 80, 150]

# Times for comparison times (Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct,
# Nov, Dec, JFM, AMJ, JAS, OND, ANN)
comparisonTimes =  ['JFM', 'JAS', 'ANN']

[climatologyMapSeaIceConcThick]
## options related to plotting horizontally regridded climatologies of
## sea ice concentration and thickness against reference model results and
## observations

# colormap for model/observations
colormapNameConcResultWinter = inferno
colormapNameConcResultSummer = inferno
colormapNameThickResultNH = inferno
colormapNameThickResultSH = inferno
# color indices into colormapName for filled contours
colormapIndicesConcResultWinter = [20, 80, 110, 140, 170, 200, 230, 255]
colormapIndicesConcResultSummer = [20, 80, 110, 140, 170, 200, 230, 255]
colormapIndicesThickResultNH = [20, 80, 110, 140, 170, 200, 230, 255]
colormapIndicesThickResultSH = [20, 80, 110, 140, 170, 200, 230, 255]
# colormap levels/values for contour boundaries for:
# concentration in winter and summer
colorbarLevelsConcResultWinter = [0.15, 0.4, 0.7, 0.9, 0.94, 0.96, 0.98, 0.99, 1]
colorbarLevelsConcResultSummer = [0.15, 0.3, 0.5, 0.7, 0.8, 0.85, 0.9, 0.95, 1]
# thickness in the northern and southern hemispheres
colorbarLevelsThickResultNH = [0, 0.25, 0.5, 1, 1.5, 2, 2.5, 3, 3.5]
colorbarLevelsThickResultSH = [0, 0.2, 0.4, 0.6, 0.8, 1, 1.5, 2, 2.5]

# colormap for differences
colormapNameConcDifferenceWinter = RdBu_r
colormapNameConcDifferenceSummer = RdBu_r
colormapNameThickDifferenceNH = RdBu_r
colormapNameThickDifferenceSH = RdBu_r
# color indices into colormapName for filled contours
colormapIndicesConcDifferenceWinter = [0, 40, 80, 127, 127, 170, 210, 255]
colormapIndicesConcDifferenceSummer = [0, 40, 80, 127, 127, 170, 210, 255]
colormapIndicesThickDifferenceNH = [0, 40, 80, 127, 127, 170, 210, 255]
colormapIndicesThickDifferenceSH = [0, 40, 80, 127, 127, 170, 210, 255]
# colormap levels/values for contour boundaries for:
# concentration in winter and summer
colorbarLevelsConcDifferenceWinter = [-0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8]
colorbarLevelsConcDifferenceSummer = [-0.8, -0.6, -0.4, -0.2, 0, 0.2, 0.4, 0.6, 0.8]
# thickness in the northern and southern hemispheres
colorbarLevelsThickDifferenceNH = [-2.5, -2, -0.5, -0.1, 0, 0.1, 0.5, 2, 2.5]
colorbarLevelsThickDifferenceSH = [-2.5, -2, -0.5, -0.1, 0, 0.1, 0.5, 2, 2.5]

# reference lat/lon for sea ice plots in the northern hemisphere
minimumLatitudeNH = 50
referenceLongitudeNH = 0
# reference lat/lon for sea ice plots in the southern hemisphere
minimumLatitudeSH = -50
referenceLongitudeSH = 180

[regions]
## options related to ocean regions used in several analysis modules

# list of region names (needs to be in the same order as region indices in
# time-series stats)
regions = ['arctic', 'equatorial', 'so', 'nino3', 'nino4', 'nino3.4', 'global']
# list of plot titles (needs to be in the same order as region indices in
# time-series stats)
plotTitles = ['Arctic', 'Equatorial (15S-15N)', 'Southern Ocean', 'Nino 3',
              'Nino 4', 'Nino 3.4', 'Global Ocean']

[plot]
## options related to plotting that are the defaults across all analysis
## modules

# set to true if you want plots to be displayed (one by one) to the screen in
# addition to being written out to png files
# Note: displayToScreen = True seems to hang on Edison on large data sets,
# so suggested use is just for debugging either locally or with small data sets
displayToScreen = False

# font size on axes
axisFontSize = 16
# title font properties
titleFontSize = 20
titleFontColor = black
titleFontWeight = normal