Ndays = 5. # Total length of run (days)
kwargs={}
kwargs['lat'] = ['1.','2.']
kwargs['solin'] = ['300.','310.']
kwargs['dt'] = 60.*10.
#kwargs['RestartFile'] = 'two_column.nc'
kwargs['OutputFile'] = 'two_column.nc'
kwargs['OutputFreq'] = 60*10.
#kwargs['MonitorFields'] = ['U','T','q']
#kwargs['MonitorFreq'] = 60 *60.*4.
# Set up federation
dyn = climt.dynamics(scheme='two_column')
tur = climt.turbulence()
rad = climt.radiation(scheme='cam3')
con = climt.convection(scheme='hard')
oce = climt.ocean()
fed = climt.federation(dyn,tur,rad,con,oce, **kwargs)
# Run
fed.step(Ndays*86400.)
try:
from matplotlib.pylab import *
show()
except:
pass
Ndays = 5.0 # Total length of run (days)
kwargs = {}
kwargs["lat"] = ["1.", "2."]
kwargs["solin"] = ["300.", "310."]
kwargs["dt"] = 60.0 * 10.0
# kwargs['RestartFile'] = 'two_column.nc'
kwargs["OutputFile"] = "two_column.nc"
kwargs["OutputFreq"] = 60 * 10.0
# kwargs['MonitorFields'] = ['U','T','q']
# kwargs['MonitorFreq'] = 60 *60.*4.
# Set up federation
dyn = climt.dynamics(scheme="two_column")
tur = climt.turbulence()
rad = climt.radiation(scheme="cam3")
con = climt.convection(scheme="hard")
oce = climt.ocean()
fed = climt.federation(dyn, tur, rad, con, oce, **kwargs)
# Run
fed.step(Ndays * 86400.0)
try:
from matplotlib.pylab import *
show()
except:
pass
# Initial fields
kwargs['T'] = zeros((nlev,nlat)) + 100.
kwargs['q'] = zeros((nlev,nlat)) + 1.e-9
# Run length (days)
Ndays = 3000
########################## End user adjustble
kwargs['lat'] = (arange(nlat)+0.5)*(MaxLat-MinLat)/nlat + MinLat
kwargs['lev'] = (arange(nlev)+0.5)*(MaxLev-MinLev)/nlev + MinLev
# Set up federation
tur = climt.turbulence()
dyn = climt.dynamics()
ocn = climt.ocean()
con = climt.convection()
fed = climt.federation(dyn, tur, ocn, con, **kwargs)
# Run
Nsteps = int(Ndays*86400./kwargs['dt'])
ins = climt.insolation(lat=kwargs['lat'], avg='annual')
CoolingRate = 0./86400.
for l in range(Nsteps):
fed.State['SrfRadFlx'] = ins.State['solin']*0.5 - fed['stebol']*fed.State['Ts']**4
fed.step()
fed.State['T'][4:nlev,:,:] -= CoolingRate*kwargs['dt']*ones((nlev-4,nlat,1))
try:
from matplotlib.pylab import *
