import sys; sys.path.append('../py_src')
from pyOM_gui import pyOM_gui as pyOM
#from pyOM_ave import pyOM_ave as pyOM
from numpy import *
yt_start = -39.0
yt_end = 43
yu_start = -40.0
yu_end = 42
class acc2(pyOM):
""" a simple global model with a Southern Ocean and Atlantic part
"""
def set_parameter(self):
"""set main parameter
"""
M=self.fortran.main_module
(M.nx,M.ny,M.nz) = (30,42,15)
M.dt_mom = 4800
M.dt_tracer = 86400/2.0
M.coord_degree = 1
M.enable_cyclic_x = 1
M.congr_epsilon = 1e-12
M.congr_max_iterations = 5000
M.enable_streamfunction = 1
I=self.fortran.isoneutral_module
I.enable_neutral_diffusion = 1
I.k_iso_0 = 1000.0
I.k_iso_steep = 500.0
I.iso_dslope=0.005
I.iso_slopec=0.01
I.enable_skew_diffusion = 1
M.enable_hor_friction = 1
M.a_h = (2*M.degtom)**3*2e-11
M.enable_hor_friction_cos_scaling = 1
M.hor_friction_cospower=1
M.enable_bottom_friction = 1
M.r_bot = 1e-5
M.enable_implicit_vert_friction = 1
T=self.fortran.tke_module
T.enable_tke = 1
T.c_k = 0.1
T.c_eps = 0.7
T.alpha_tke = 30.0
T.mxl_min = 1e-8
T.tke_mxl_choice = 2
#T.enable_tke_superbee_advection = 1
M.k_gm_0 = 1000.0
E=self.fortran.eke_module
E.enable_eke = 1
E.eke_k_max = 1e4
E.eke_c_k = 0.4
E.eke_c_eps = 0.5
E.eke_cross = 2.
E.eke_crhin = 1.0
E.eke_lmin = 100.0
E.enable_eke_superbee_advection = 1
E.enable_eke_isopycnal_diffusion = 1
I=self.fortran.idemix_module
I.enable_idemix = 1
I.enable_idemix_hor_diffusion = 1
I.enable_eke_diss_surfbot = 1
I.eke_diss_surfbot_frac = 0.2
I.enable_idemix_superbee_advection = 1
M.eq_of_state_type = 3
return
def set_grid(self):
M=self.fortran.main_module
ddz = array([50.,70.,100.,140.,190.,240.,290.,340.,390.,440.,490.,540.,590.,640.,690.])
M.dxt[:] = 2.0
M.dyt[:] = 2.0
M.x_origin= 0.0
M.y_origin= -40.0
M.dzt[:] = ddz[::-1]/2.5
return
def set_coriolis(self):
M=self.fortran.main_module
for j in range( M.yt.shape[0] ): M.coriolis_t[:,j] = 2*M.omega*sin(M.yt[j]/180.*pi)
return
def set_topography(self):
""" setup topography
"""
M=self.fortran.main_module
(X,Y)= meshgrid(M.xt,M.yt); X=X.transpose(); Y=Y.transpose()
M.kbot[:]=0
M.kbot[ X >1.0]=1
M.kbot[ Y <-20]=1
return
def set_initial_conditions(self):
""" setup initial conditions
"""
M=self.fortran.main_module
(XT,YT)= meshgrid(M.xt,M.yt); XT=XT.transpose(); YT=YT.transpose()
(XU,YU)= meshgrid(M.xu,M.yu); XU=XU.transpose(); YU=YU.transpose()
# initial conditions
for k in range(M.nz):
M.temp[:,:,k,M.tau-1] = (1-M.zt[k]/M.zw[0])*15*M.maskt[:,:,k]
M.temp[:,:,k,M.taum1-1] = (1-M.zt[k]/M.zw[0])*15*M.maskt[:,:,k]
M.salt[:,:,:,M.tau-1] = 35.0*M.maskt[:]
M.salt[:,:,:,M.taum1-1] = 35.0*M.maskt[:]
# wind stress forcing
for j in range(M.js_pe,M.je_pe+1):
jj = self.jf2py(j)
taux=0.0
if M.yt[jj]<-20 : taux = .1e-3*sin(pi*(M.yu[jj]-yu_start)/(-20.0-yt_start))
if M.yt[jj]>10 : taux = .1e-3*(1-cos(2*pi*(M.yu[jj]-10.0)/(yu_end-10.0)))
M.surface_taux[:,jj] = taux*M.masku[:,jj,-1]
# surface heatflux forcing
self.t_rest = zeros( M.u[:,:,1,0].shape, order = 'F' )
self.t_star = zeros( M.u[:,:,1,0].shape, order = 'F' )
for j in range(M.js_pe,M.je_pe+1):
jj = self.jf2py(j)
t_star=15
if M.yt[jj]<-20.0: t_star=15*(M.yt[jj]-yt_start )/(-20.0-yt_start)
if M.yt[jj]> 20.0: t_star=15*(1-(M.yt[jj]-20)/(yt_end-20) )
self.t_star[:,jj] = t_star
self.t_rest[:,jj] = M.dzt[-1]/(30.*86400.)*M.maskt[:,jj,-1]
T=self.fortran.tke_module
if T.enable_tke:
for j in range(M.js_pe,M.je_pe+1):
for i in range(M.is_pe,M.ie_pe+1):
(ii,jj) = (self.if2py(i), self.jf2py(j) )
T.forc_tke_surface[ii,jj] = sqrt( (0.5*(M.surface_taux[ii,jj]+M.surface_taux[ii-1,jj]))**2 \
+(0.5*(M.surface_tauy[ii,jj]+M.surface_tauy[ii,jj-1]))**2 )**(3./2.)
I=self.fortran.idemix_module
if I.enable_idemix:
I.forc_iw_bottom[:] = 1.0e-6*M.maskw[:,:,-1]
I.forc_iw_surface[:] = 0.1e-6*M.maskw[:,:,-1]
return
def set_forcing(self):
M=self.fortran.main_module
M.forc_temp_surface[:]=self.t_rest*(self.t_star-M.temp[:,:,-1,M.tau-1])
return
def set_diagnostics(self):
M=self.fortran.main_module
self.register_average(name='temp',long_name='Temperature', units = 'deg C' , grid = 'TTT', var = M.temp)
self.register_average(name='salt',long_name='Salinity', units = 'g/kg' , grid = 'TTT', var = M.salt)
self.register_average(name='u', long_name='Zonal velocity', units = 'm/s' , grid = 'UTT', var = M.u)
self.register_average(name='v', long_name='Meridional velocity', units = 'm/s' , grid = 'TUT', var = M.v)
self.register_average(name='w', long_name='Vertical velocity', units = 'm/s' , grid = 'TTU', var = M.w)
self.register_average(name='taux',long_name='wind stress', units = 'm^2/s' , grid = 'UT', var = M.surface_taux)
self.register_average(name='tauy',long_name='wind stress', units = 'm^2/s' , grid = 'TU', var = M.surface_tauy)
self.register_average(name='psi' ,long_name='Streamfunction', units = 'm^3/s' , grid = 'UU', var = M.psi)
return
def user_defined_signal(self):
""" this routine must be called by all processors
"""
M=self.fortran.main_module
a = zeros( (M.nx,M.ny), 'd', order = 'F')
a[M.is_pe-1:M.ie_pe,0] = M.xt[2:-2]
self.fortran.pe0_recv_2d(a)
self.xt_gl = a[:,0].copy()
a[0,M.js_pe-1:M.je_pe] = M.yt[2:-2]
self.fortran.pe0_recv_2d(a)
self.yt_gl = a[0,:].copy()
self.psi_gl = zeros( (M.nx,M.ny), 'd', order = 'F')
self.psi_gl[M.is_pe-1:M.ie_pe,M.js_pe-1:M.je_pe] = where( M.maskz[2:-2,2:-2,-1] >0, M.psi[2:-2,2:-2,M.tau-1] , NaN)
self.fortran.pe0_recv_2d(self.psi_gl)
self.temp_gl = zeros( (M.nx,M.ny,M.nz), 'd', order = 'F')
for k in range(M.nz):
a[M.is_pe-1:M.ie_pe,M.js_pe-1:M.je_pe] = where( M.maskt[2:-2,2:-2,k] >0, M.temp[2:-2,2:-2,k,M.tau-1] , NaN)
self.fortran.pe0_recv_2d(a)
self.temp_gl[:,:,k]=a.copy()
self.kappa_gl = zeros( (M.nx,M.ny,M.nz), 'd', order = 'F')
for k in range(M.nz):
a[M.is_pe-1:M.ie_pe,M.js_pe-1:M.je_pe] = where( M.maskw[2:-2,2:-2,k] >0, M.kappah[2:-2,2:-2,k] , NaN)
self.fortran.pe0_recv_2d(a)
self.kappa_gl[:,:,k]=a.copy()
return
def make_plot(self):
M=self.fortran.main_module
self.set_signal('user_defined') # following routine is called by all PEs
self.user_defined_signal()
self.figure.clf()
ax=self.figure.add_subplot(221)
co=ax.contourf(self.yt_gl,M.zt,self.temp_gl[M.nx/2-1,:,:].transpose())
self.figure.colorbar(co)
ax.set_title('temperature')
ax.set_ylabel('z [m]')
ax.axis('tight')
ax=self.figure.add_subplot(223)
try:
co=ax.contourf(self.yt_gl,M.zw,log10(self.kappa_gl[M.nx/2-1,:,:].transpose()) )
except:
pass
self.figure.colorbar(co)
ax.set_title('Diffusivity')
ax.set_xlabel('Latitude [deg N]')
ax.set_ylabel('z [m]')
ax.axis('tight')
ax=self.figure.add_subplot(122)
co=ax.contourf(self.xt_gl,self.yt_gl,self.psi_gl.transpose()*1e-6)
self.figure.colorbar(co)
ax.set_title('Streamfunction [Sv]')
ax.set_xlabel('Longitude [deg E]')
ax.axis('tight')
return
if __name__ == "__main__": acc2().run(snapint= 86400*10.0, runlen = 365*86400.*200)