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)