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- #!/usr/bin/env python
- # B a r a K u d a
- #
- # Generate global plot of sea surface height
- #
- # L. Brodeau, 2009
- import sys
- import numpy as nmp
- from netCDF4 import Dataset
- import barakuda_tool as bt
- import barakuda_plot as bp
- venv_needed = {'ORCA','EXP','DIAG_D','MM_FILE','NN_SSH'}
- vdic = bt.check_env_var(sys.argv[0], venv_needed)
- CONFEXP = vdic['ORCA']+'-'+vdic['EXP']
- path_fig='./'
- fig_type='png'
- narg = len(sys.argv)
- if narg < 3: print 'Usage: '+sys.argv[0]+' <year1> <year2>'; sys.exit(0)
- cy1 = sys.argv[1] ; cy2=sys.argv[2]; jy1=int(cy1); jy2=int(cy2)
- jy1_clim = jy1 ; jy2_clim = jy2
- print ' => mean on the clim : ', jy1_clim, jy2_clim, '\n'
- # Getting coordinates:
- bt.chck4f(vdic['MM_FILE'])
- id_mm = Dataset(vdic['MM_FILE'])
- xlon = id_mm.variables['glamt'][0,:,:] ; xlat = id_mm.variables['gphit'][0,:,:]
- Xmask = id_mm.variables['tmask'][0,0,:,:]
- Xe1t = id_mm.variables['e1t'][0,:,:]
- Xe2t = id_mm.variables['e2t'][0,:,:]
- id_mm.close()
- # Getting NEMO mean monthly climatology of SSH coverage:
- cf_nemo_mnmc = vdic['DIAG_D']+'/clim/mclim_'+CONFEXP+'_'+cy1+'-'+cy2+'_grid_T.nc4'
- bt.chck4f(cf_nemo_mnmc)
- id_nemo = Dataset(cf_nemo_mnmc)
- ssh = id_nemo.variables[vdic['NN_SSH']][:,:,:]
- id_nemo.close()
- [ nt, nj, ni ] = ssh.shape ; print ' Shape of SSH :', nt, nj, ni, '\n'
- ssh_plot = nmp.zeros((nj,ni))
- ssh_plot[:,:] = nmp.mean(ssh[:,:,:],axis=0)
- ztot = nmp.sum(ssh_plot*Xmask*Xe1t*Xe2t)/nmp.sum(Xmask*Xe1t*Xe2t)
- print 'ztot =', ztot
- ssh_plot = ssh_plot - ztot
- cztot = str(round(ztot,2))
- # the Jean-Marc Molines method:
- ji_lat0 = nmp.argmax(xlat[nj-1,:])
- bp.plot("2d")(xlon[0,:], xlat[:,ji_lat0], ssh_plot[:,:], Xmask, -2., 2., 0.1,
- corca=vdic['ORCA'], lkcont=True, cpal='BrBG_r',
- cfignm=path_fig+'ssh_mean_'+CONFEXP, cbunit=r'$(m)$',
- ctitle='Mean SSH (corrected about z=0, removed '+cztot+'m), '+CONFEXP+' ('+cy1+'-'+cy2+')',
- lforce_lim=True, i_cb_subsamp=2,
- cfig_type=fig_type, lat_min=-77., lat_max=75., lpix=False, vcont_spec = [ 0. ])
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