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Adding a new example analysis script. #26

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Jul 22, 2014
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56 changes: 56 additions & 0 deletions tools/analysis/EddyKineticEnergy.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,56 @@
#!/usr/bin/env python

import netCDF4
import matplotlib.pyplot as plt
import numpy
import m6plot
import math

try: import argparse
except: raise Exception('This version of python is not new enough. python 2.7 or newer is required.')

parser = argparse.ArgumentParser(description='''Script for plotting annual-average SST bias.''')
parser.add_argument('annual_file', type=str, help='''Annually-averaged file contained 3D temp.''')
parser.add_argument('-l','--label', type=str, default='', help='''Label to add to the plot.''')
parser.add_argument('-o','--outdir', type=str, default='.', help='''Directory in which to place plots.''')
parser.add_argument('-g','--gridspec', type=str,
default='/archive/gold/datasets/MOM6z_SIS_025/siena/mosaic.unpacked',
help='''Directory containing mosaic/grid-spec files (ocean_hgrid.nc and ocean_mask.nc).''')
cmdLineArgs = parser.parse_args()

rootGroup = netCDF4.Dataset( cmdLineArgs.annual_file )
if 'ssu' not in rootGroup.variables: raise Exception('Could not find "ssu" in file "%s"'%(cmdLineArgs.annual_file))
if 'ssv' not in rootGroup.variables: raise Exception('Could not find "ssv" in file "%s"'%(cmdLineArgs.annual_file))

x = netCDF4.Dataset(cmdLineArgs.gridspec+'/ocean_hgrid.nc').variables['x'][::2,::2]
y = netCDF4.Dataset(cmdLineArgs.gridspec+'/ocean_hgrid.nc').variables['y'][::2,::2]
msk = netCDF4.Dataset(cmdLineArgs.gridspec+'/ocean_mask.nc').variables['mask'][:]
area = msk*netCDF4.Dataset(cmdLineArgs.gridspec+'/ocean_hgrid.nc').variables['area'][:,:].reshape([msk.shape[0], 2, msk.shape[1], 2]).sum(axis=-3).sum(axis=-1)
msk = numpy.ma.array(msk, mask=(msk==0))

#Tobs = netCDF4.Dataset( '/archive/gold/datasets/MOM6z_SIS_025/siena/obs/WOA05_ptemp_salt_annual_v1.nc' ).variables['temp'][1]

ssu = rootGroup.variables['ssu']
ssu_mean = ssu[:].mean(axis=0)
ssv = rootGroup.variables['ssv']
ssv_mean = ssv[:].mean(axis=0)

eke = ((ssu[:] - ssu_mean)**2 + (ssv[:] - ssv_mean)**2)/2
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There should be an i-average of u^2 from u-points to t-points and a j-average of v^2 from v-pointsto t-points. Use numpy.roll().


eke_mean = 10000 * eke[:].mean(axis=0)
#eke_mean = numpy.log10(eke_mean[:])

ci=m6plot.pmCI(0.0,0.5,0.1)

m6plot.xyplot( eke_mean , x, y, area=area,
suptitle=rootGroup.title+' '+cmdLineArgs.label, title='Eddy Kinetic Energy annual mean [(cm/s)^2]',
clim=ci, logscale=True,
save=cmdLineArgs.outdir+'/EKE_mean.png')

#m6plot.xycompare( temp, Tobs , x, y, area=area,
# suptitle=rootGroup.title+' '+cmdLineArgs.label,
# title1='SST [$\degree$C]',
# title2='WOA\'05 SST [$\degree$C]',
# clim=m6plot.linCI(-2,29,.5), colormap='dunneRainbow', extend='max',
# dlim=ci, dcolormap='dunnePM', dextend='both', centerDCB=True,
# save=cmdLineArgs.outdir+'/SST_bias_WOA05.3_panel.png')
7 changes: 5 additions & 2 deletions tools/analysis/m6plot.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@

import numpy, numpy.matlib
import matplotlib.pyplot as plt
from matplotlib.colors import BoundaryNorm, ListedColormap
from matplotlib.colors import BoundaryNorm, ListedColormap, LogNorm
from matplotlib.ticker import MaxNLocator
import math
import m6toolbox
Expand All @@ -15,7 +15,7 @@ def xyplot(field, x=None, y=None, area=None,
clim=None, colormap=None, extend=None, centerlabels=False,
nbins=None, landcolor=[.5,.5,.5],
aspect=[16,9], resolution=576,
ignore=None, save=None, debug=False, show=False, interactive=False):
ignore=None, save=None, debug=False, show=False, interactive=False, logscale=False):
"""
Renders plot of scalar field, field(x,y).

Expand Down Expand Up @@ -46,6 +46,7 @@ def xyplot(field, x=None, y=None, area=None,
debug If true, report stuff for debugging. Default False.
show If true, causes the figure to appear on screen. Used for testing. Default False.
interactive If true, adds interactive features such as zoom, close and cursor. Default False.
logscale If true, use logaritmic coloring scheme. Default False.
"""

# Create coordinates if not provided
Expand All @@ -65,6 +66,8 @@ def xyplot(field, x=None, y=None, area=None,
if colormap==None: colormap = chooseColorMap(sMin, sMax)
cmap, norm, extend = chooseColorLevels(sMin, sMax, colormap, clim=clim, nbins=nbins, extend=extend)

if logscale: norm = LogNorm()

if axis==None:
setFigureSize(aspect, resolution, debug=debug)
#plt.gcf().subplots_adjust(left=.08, right=.99, wspace=0, bottom=.09, top=.9, hspace=0)
Expand Down