def plotGenesisDensityPercentiles(self):
"""
Plot upper and lower percentiles of genesis density derived from
synthetic event sets
"""
datarange = (0, self.hist.max())
figure = ArrayMapFigure()
map_kwargs = dict(
llcrnrlon=self.lon_range.min(),
llcrnrlat=self.lat_range.min(),
urcrnrlon=self.lon_range.max(),
urcrnrlat=self.lat_range.max(),
projection="merc",
resolution="i",
)
cbarlab = "TCs/yr"
xgrid, ygrid = np.meshgrid(self.lon_range, self.lat_range)
figure.add(self.synHistUpper.T, xgrid, ygrid, "Upper percentile", datarange, cbarlab, map_kwargs)
figure.add(self.synHistLower.T, xgrid, ygrid, "Lower percentile", datarange, cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, "genesis_density_percentiles.png")
saveFigure(figure, outputFile)
def plotPressureMeanDiff(self):
"""
Plot a map of the difference between observed and synthetic mean
pressure values.
"""
datarange = (-25, 25)
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range[:-1].min(),
llcrnrlat=self.lat_range[:-1].min(),
urcrnrlon=self.lon_range[:-1].max(),
urcrnrlat=self.lat_range[:-1].max(),
projection='merc',
resolution='i')
cbarlab = "Mean central pressure difference (hPa)"
data = self.histMean - self.synMean
xgrid, ygrid = np.meshgrid(self.lon_range[:-1], self.lat_range[:-1])
data = self.histMin - self.synMin
figure.add(np.transpose(data), xgrid, ygrid, "", datarange,
cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'meanPressureDiff.png')
saveFigure(figure, outputFile)
def plotPressureMin(self):
"""
Plot a map of observed and synthetic minimum central pressure values.
"""
datarange = (900, 1000)
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range.min(),
llcrnrlat=self.lat_range.min(),
urcrnrlon=self.lon_range.max(),
urcrnrlat=self.lat_range.max(),
projection='merc',
resolution='i')
cbarlab = "Minimum central pressure (hPa)"
xgrid, ygrid = np.meshgrid(self.lon_range, self.lat_range)
figure.add(np.transpose(self.histMin), xgrid, ygrid, "Historic",
datarange, cbarlab, map_kwargs)
figure.add(np.transpose(self.synMin), xgrid, ygrid, "Synthetic",
datarange, cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'minPressure.png')
saveFigure(figure, outputFile)
def plotPressureMin(self):
"""
Plot a map of observed and synthetic minimum central pressure values.
"""
datarange = (900, 1000)
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range[:-1].min(),
llcrnrlat=self.lat_range[:-1].min(),
urcrnrlon=self.lon_range[:-1].max(),
urcrnrlat=self.lat_range[:-1].max(),
projection='merc',
resolution='i')
cbarlab = "Minimum central pressure (hPa)"
xgrid, ygrid = np.meshgrid(self.lon_range[:-1], self.lat_range[:-1])
figure.add(np.transpose(self.histMin), xgrid, ygrid, "Historic", datarange,
cbarlab, map_kwargs)
figure.add(np.transpose(self.synMin), xgrid, ygrid, "Synthetic", datarange,
cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'minPressure.png')
saveFigure(figure, outputFile)
def plotTrackDensityPercentiles(self):
"""
Plot upper and lower percentiles of track density derived from
synthetic event sets
"""
datarange = (0, self.hist.max())
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range[:-1].min(),
llcrnrlat=self.lat_range[:-1].min(),
urcrnrlon=self.lon_range[:-1].max(),
urcrnrlat=self.lat_range[:-1].max(),
projection='merc',
resolution='i')
cbarlab = "TC observations/yr"
xgrid, ygrid = np.meshgrid(self.lon_range[:-1], self.lat_range[:-1])
figure.add(self.synHistUpper.T, xgrid, ygrid, "Upper percentile", datarange,
cbarlab, map_kwargs)
figure.add(self.synHistLower.T, xgrid, ygrid, "Lower percentile",
datarange, cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'track_density_percentiles.png')
saveFigure(figure, outputFile)
def plotPressureMeanDiff(self):
"""
Plot a map of the difference between observed and synthetic mean
pressure values.
"""
datarange = (-25, 25)
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range.min(),
llcrnrlat=self.lat_range.min(),
urcrnrlon=self.lon_range.max(),
urcrnrlat=self.lat_range.max(),
projection='merc',
resolution='i')
cbarlab = "Mean central pressure difference (hPa)"
data = self.histMean - self.synMean
xgrid, ygrid = np.meshgrid(self.lon_range, self.lat_range)
figure.add(np.transpose(data), xgrid, ygrid, "Historical - Synthetic",
datarange, cbarlab, map_kwargs)
figure.cmap = sns.blend_palette(sns.color_palette("coolwarm", 9),
as_cmap=True)
figure.plot()
outputFile = pjoin(self.plotPath, 'meanPressureDiff.png')
saveFigure(figure, outputFile)
def plotTrackDensityPercentiles(self):
"""
Plot upper and lower percentiles of track density derived from
synthetic event sets
"""
datarange = (0, self.hist.max())
figure = ArrayMapFigure()
cbarlab = "TC observations/yr"
figure.add(self.synHistUpper.T, self.X, self.Y, "Upper percentile",
datarange, cbarlab, self.map_kwargs)
figure.add(self.synHistLower.T, self.X, self.Y, "Lower percentile",
datarange, cbarlab, self.map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'track_density_percentiles.png')
saveFigure(figure, outputFile)
def plotTrackDensity(self):
"""Plot track density information"""
datarange = (0, self.hist.max())
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range[:-1].min(),
llcrnrlat=self.lat_range[:-1].min(),
urcrnrlon=self.lon_range[:-1].max(),
urcrnrlat=self.lat_range[:-1].max(),
projection='merc',
resolution='i')
cbarlab = "TC observations/yr"
xgrid, ygrid = np.meshgrid(self.lon_range[:-1], self.lat_range[:-1])
figure.add(self.hist.T, xgrid, ygrid, "Historic", datarange,
cbarlab, map_kwargs)
figure.add(self.synHistMean.T, xgrid, ygrid, "Synthetic",
datarange, cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'track_density.png')
saveFigure(figure, outputFile)
map_kwargs = dict(llcrnrlon=90.,
llcrnrlat=-30,
urcrnrlon=180.,
urcrnrlat=-5.,
resolution='h',
projection='merc')
ncobj = ncLoadFile(pjoin(processPath, "pressure_stats.nc"))
lon = ncGetDims(ncobj, 'lon')
lat = ncGetDims(ncobj, 'lat')
ardata = getData(ncobj, 'alpha', ij)
mudata = getData(ncobj, 'mu', ij)
mindata = getData(ncobj, 'min', ij)
sigdata = getData(ncobj, 'sig', ij)
ncobj.close()
fig = ArrayMapFigure()
fig.add(mudata, xgrid, ygrid, 'Mean pressure ', [950, 1000], 'Pressure (hPa)',
map_kwargs)
fig.add(mindata, xgrid, ygrid, 'Minimum pressure', [900, 1000],
'Pressure (hPa)', map_kwargs)
fig.add(sigdata, xgrid, ygrid, 'Pressure standard deviation', [0, 50],
'Std dev.', map_kwargs)
fig.add(ardata, xgrid, ygrid, 'Pressure AR(1)', [-1, 1], 'AR(1)', map_kwargs)
fig.plot()
saveFigure(fig, pjoin(plotsPath, "pressure_stats.png"))
ncobj = ncLoadFile(pjoin(processPath, "pressure_stats.nc"))
lon = ncGetDims(ncobj, 'lon')
lat = ncGetDims(ncobj, 'lat')
ardata = getData(ncobj, 'alpha', ij)
mudata = getData(ncobj, 'mu', ij)
def plotTrackDensity(self):
"""Plot track density information"""
datarange = (0, self.hist.max())
figure = ArrayMapFigure()
cbarlab = "TC observations/yr"
figure.add(self.hist.T, self.X, self.Y, "Historic", datarange,
cbarlab, self.map_kwargs)
figure.add(self.synHistMean.T, self.X, self.Y, "Synthetic",
datarange, cbarlab, self.map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'track_density.png')
saveFigure(figure, outputFile)
figure2 = ArrayMapFigure()
figure2.add(self.hist.T, self.X, self.Y, "Historic", datarange,
cbarlab, self.map_kwargs)
figure2.add(self.synHist[0, :, :].T, self.X, self.Y, "Synthetic",
datarange, cbarlab, self.map_kwargs)
figure2.add(self.synHist[10, :, :].T, self.X, self.Y, "Synthetic",
datarange, cbarlab, self.map_kwargs)
figure2.add(self.synHist[20, :, :].T, self.X, self.Y, "Synthetic",
datarange, cbarlab, self.map_kwargs)
figure2.add(self.synHist[30, :, :].T, self.X, self.Y, "Synthetic",
datarange, cbarlab, self.map_kwargs)
figure2.add(self.synHist[40, :, :].T, self.X, self.Y, "Synthetic",
datarange, cbarlab, self.map_kwargs)
figure2.plot()
outputFile = pjoin(self.plotPath, 'track_density_samples.png')
saveFigure(figure2, outputFile)
def plotGenesisDensity(self):
"""Plot genesis density information"""
datarange = (0, self.hist.max())
figure = ArrayMapFigure()
map_kwargs = dict(llcrnrlon=self.lon_range.min(),
llcrnrlat=self.lat_range.min(),
urcrnrlon=self.lon_range.max(),
urcrnrlat=self.lat_range.max(),
projection='merc',
resolution='i')
cbarlab = "TCs/yr"
xgrid, ygrid = np.meshgrid(self.lon_range, self.lat_range)
figure.add(self.hist.T, xgrid, ygrid, "Historic", datarange,
cbarlab, map_kwargs)
figure.add(self.synHistMean.T, xgrid, ygrid, "Synthetic",
datarange, cbarlab, map_kwargs)
figure.plot()
outputFile = pjoin(self.plotPath, 'genesis_density.png')
saveFigure(figure, outputFile)
figure2 = ArrayMapFigure()
figure2.add(self.hist.T, xgrid, ygrid, "Historic", datarange,
cbarlab, map_kwargs)
figure2.add(self.synHist[0, :, :].T, xgrid, ygrid, "Synthetic",
datarange, cbarlab, map_kwargs)
figure2.add(self.synHist[1, :, :].T, xgrid, ygrid, "Synthetic",
datarange, cbarlab, map_kwargs)
figure2.add(self.synHist[2, :, :].T, xgrid, ygrid, "Synthetic",
datarange, cbarlab, map_kwargs)
figure2.plot()
outputFile = pjoin(self.plotPath, 'genesis_density_samples.png')
saveFigure(figure2, outputFile)
