def buildT2():
nyrs = 10
lat = pyg.regularlat(31)
lon = pyg.regularlon(60)
time = pyg.ModelTime365(values=np.arange(nyrs*365), \
units='days', startdate={'year':2011, 'month':1, 'day':1})
pres = pyg.Pres(np.arange(1000, 0, -50.))
z = 6.6 * pyg.log(1000. / pres)
ts1 = 2 * pyg.sin(2 * np.pi * time / 365.) + 4 * pyg.Var(
(time, ), values=np.random.randn(nyrs * 365))
ts1 = ts1.smooth('time', 20)
ts2 = -5 + 0.6 * time / 365. + 5 * pyg.Var(
(time, ), values=np.random.randn(nyrs * 365))
ts2 = ts2.smooth('time', 20)
T_c = 260. + 40. * pyg.exp(-(
(lat - 10 * np.sin(2 * np.pi * time / 365)) / 45.)**2)
T_wave = 0.05 * lat * pyg.sind(6 * lon - time) # * ts1
T_lapse = -5 * z
Tf = (T_lapse + T_c + T_wave).transpose('time', 'pres', 'lat', 'lon')
Tf.name = 'Temp'
U_c = 40 * pyg.sind(2 * lat)**2 * pyg.sin(2 * np.pi * z / 12)**2
U_wave = 0.08 * lat * pyg.sind(6 * lon - time)
U = (U_c + ts2 * U_wave).transpose('time', 'pres', 'lat', 'lon')
U.name = 'U'
return pyg.Dataset(
[Tf, U],
atts={
'history':
'Synthetic Temperature and Wind data generated by pygeode'
})
def buildT2():
nyrs = 10
lat = pyg.regularlat(31)
lon = pyg.regularlon(60)
time = pyg.ModelTime365(values=np.arange(nyrs*365), \
units='days', startdate={'year':2011, 'month':1, 'day':1})
pres = pyg.Pres(np.arange(1000, 0, -50.))
z = 6.6 * pyg.log(1000./pres)
ts1 = 2*pyg.sin(2*np.pi*time/365.) + 4*pyg.Var((time,), values=np.random.randn(nyrs*365))
ts1 = ts1.smooth('time', 20)
ts2 = -5 + 0.6*time/365. + 5*pyg.Var((time,), values=np.random.randn(nyrs*365))
ts2 = ts2.smooth('time', 20)
T_c = 260. + 40. * pyg.exp(-((lat - 10*np.sin(2*np.pi*time/365))/45.)**2)
T_wave = 0.05 * lat * pyg.sind(6*lon - time)# * ts1
T_lapse = -5*z
Tf = (T_lapse + T_c + T_wave).transpose('time', 'pres', 'lat', 'lon')
Tf.name = 'Temp'
U_c = 40 * pyg.sind(2*lat)**2 * pyg.sin(2*np.pi * z / 12)**2
U_wave = 0.08 * lat * pyg.sind(6*lon - time)
U = (U_c + ts2*U_wave).transpose('time', 'pres', 'lat', 'lon')
U.name = 'U'
return pyg.Dataset([Tf, U], atts={'history':'Synthetic Temperature and Wind data generated by pygeode'})
def buildT1():
lat = pyg.regularlat(31)
lon = pyg.regularlon(60)
T_c = 260. + 40. * pyg.exp(-(lat/45.)**2)
T_wave = 0.05 * lat * pyg.sind(6*lon)
T = T_c + T_wave
T.name = 'Temp'
T.units = 'K'
return pyg.Dataset([T], atts={'history':'Synthetic Temperature data generated by pygeode'})
import pylab as pyl
import pygeode as pyg, numpy as np
lat = pyg.regularlat(60)
lon = pyg.regularlon(120)
x = pyg.sin(2 * np.pi * lon / 180.) * pyg.exp(-(lat - 30)**2 / (2 * 10**2))
y = pyg.sin(2 * np.pi * lon / 180.) * pyg.exp(-(lat + 40)**2 / (2 * 10**2))
pyl.ioff()
ax = pyg.plot.AxesWrapper()
pyg.vcontour(y,
clevs=np.linspace(-1, 1, 21),
clines=None,
cmap=pyl.cm.PuBuGn,
axes=ax)
pyg.vcontour(x,
clevs=None,
clines=np.linspace(-1, 1, 21),
linewidths=1.,
colors='k',
axes=ax)
ax.setp(title='Filled contours and contour lines')
pyl.ion()
ax.render(1)
import pylab as pyl
import pygeode as pyg, numpy as np
t = pyg.ModelTime365(values = np.arange(100), units='days', startdate=dict(year=1, month=1))
y1 = pyg.exp(-t / 30.) * pyg.cos(2*np.pi * t / 20.)
y2 = pyg.exp(-t / 30.) * pyg.sin(2*np.pi * t / 20.)
y1 = y1.rename('y1')
y2 = y2.rename('y2')
pyl.ioff()
ax = pyg.plot.AxesWrapper()
pyg.vplot(y1, label='y1', c='r', lw=2, axes=ax)
pyg.vplot(y2, label='y2', c='b', lw=2, axes=ax)
ax.setp(title = 'Two lines', ylabel='')
ax.setp_xaxis(major_formatter=pyg.timeticker.TimeFormatter(t, '$b'))
ax.legend(loc='lower right', frameon=False)
pyl.ion()
ax.render(1)
