msk_roms = grd.variables['mask_rho'][:] msk_romsv = grd.variables['mask_v'][:] h_roms = grd.variables['h'][:] sh2 = msk_roms.shape etamax, ximax = sh2 theta_b = 0.4 theta_s = 5.0 tcline = 100. klevels = 40 Vtransform = 2 Vstretching = 4 Spherical = True if Vstretching==4: scoord = s_coordinate_4(h_roms, theta_b, theta_s, tcline, klevels) #zeta is not used in the computation elif Vstretching==2: scoord = s_coordinate_2(h_roms, theta_b, theta_s, tcline, klevels) elif Vstretching==1: scoord = s_coordinate(h_roms, theta_b, theta_s, tcline, klevels) zr = -scoord.z_r[:] zc=np.array([0]) zc=zc[::-1] uavg=avgfile['u_eastward'][:] vavg=avgfile['v_northward'][:]
theta_s = 5.0
tcline = 100.
klevels = 40
Vtransform = 2
Vstretching = 4
fname_grd='azul_son_case1_newBAT_2_Mcu.nc'
grd = dat(fname_grd)
x_roms = grd.variables['lon_rho'][:]
y_roms = grd.variables['lat_rho'][:]
msk_roms = grd.variables['mask_rho'][:]
msk_romsv = grd.variables['mask_v'][:]
h_roms = grd.variables['h'][:]
sh2 = msk_roms.shape
etamax, ximax = sh2
scoord = s_coordinate_4(h_roms, theta_b, theta_s, tcline, klevels)
zr = scoord.z_r[:]
a,b=np.meshgrid(x_roms[0,:],zr[:,0,0])
fig, ax1 = plt.subplots()
AB=ax1.pcolor(a, zr[:,0,:], temp[-1,::], vmin=-0.8, vmax=0.8, cmap = 'seismic')
#AB=ax1.pcolor(a, zr[:,0,:], temp[0,::])
ax1.axis('tight')
cbar=fig.colorbar(AB, shrink=0.9, extend='both')
cbar.ax.set_ylabel('v(m/s)', rotation=270)
cbar.ax.get_yaxis().labelpad = 20
text = cbar.ax.yaxis.label
font = matplotlib.font_manager.FontProperties(family='times new roman', style='normal', size=15)
text.set_font_properties(font)
#plt.savefig('bry_south.png')
h_roms_p = file['h'][:]
h_roms_p = h_roms_p[::-1, :]
h_roms_p = h_roms_p[imxla - lim:imla + lim, iml - lim:imxl + lim]
theta_b_p = float(file['theta_b'][:])
theta_s_p = float(file['theta_s'][:])
tcline_p = float(file['Tcline'][:])
Vstretching_p = float(file['Vstretching'][:])
klevels_p = numlevels
ZETA = np.zeros(x_fm.shape)
if Vstretching_p == 4:
scoord = s_coordinate_4(h_roms_p,
theta_b_p,
theta_s_p,
tcline_p,
klevels_p,
zeta=ZETA) #zeta is not used in the computation
elif Vstretching_p == 2:
scoord = s_coordinate_2(h_roms_p,
theta_b_p,
theta_s_p,
tcline_p,
klevels_p,
zeta=ZETA)
elif Vstretching_p == 1:
scoord = s_coordinate(h_roms_p,
theta_b_p,
theta_s_p,
tcline_p,
klevels_p,
def get_ROMS_vgrid(gridid, zeta=None):
"""
vgrid = get_ROMS_vgrid(gridid)
Load ROMS vertical grid object. vgrid is a s_coordinate or
a z_coordinate object, depending on gridid.grdtype.
vgrid.z_r and vgrid.z_w (vgrid.z for a z_coordinate object)
can be indexed in order to retreive the actual depths. The
free surface time serie zeta can be provided as an optional
argument. Note that the values of zeta are not calculated
until z is indexed, so a netCDF variable for zeta may be passed,
even if the file is large, as only the values that are required
will be retrieved from the file.
"""
nc = Dataset(gridid)
#Get vertical grid
try:
h = nc.variables['h'][:]
except:
raise ValueError('NetCDF file must contain the bathymetry h')
try:
hraw = nc.variables['hraw'][:]
except:
hraw = None
gridinfo_type = 'roms'
if gridinfo_type == 'roms':
Vtrans = 4
theta_b = 0.4
theta_s = 5.0
Tcline = 100
N = 40
if Vtrans == 1:
vgrid = s_coordinate(h,
theta_b,
theta_s,
Tcline,
N,
hraw=hraw,
zeta=zeta)
elif Vtrans == 2:
vgrid = s_coordinate_2(h,
theta_b,
theta_s,
Tcline,
N,
hraw=hraw,
zeta=zeta)
elif Vtrans == 4:
vgrid = s_coordinate_4(h,
theta_b,
theta_s,
Tcline,
N,
hraw=hraw,
zeta=zeta)
elif Vtrans == 5:
vgrid = s_coordinate_5(h,
theta_b,
theta_s,
Tcline,
N,
hraw=hraw,
zeta=zeta)
else:
raise Warning('Unknown vertical transformation Vtrans')
elif gridinfo_type == 'z':
N = gridinfo.N
depth = gridinfo.depth
vgrid = z_coordinate(h, depth, N)
else:
raise ValueError('Unknown grid type')
return vgrid
