def surf_vel_roms(x,y,url,date_mid=datetime.datetime.utcnow,hours_ave=24,tvar='ocean_time',lonlat_sub=1,time_sub=6):
#url = 'http://testbedapps-dev.sura.org/thredds/dodsC/alldata/Shelf_Hypoxia/tamu/roms/tamu_roms.nc'
#url='http://tds.ve.ismar.cnr.it:8080/thredds/dodsC/field2_test/run1/his'
#####################################################################################
nc = netCDF4.Dataset(url)
mask = nc.variables['mask_rho'][:]
lon_rho = nc.variables['lon_rho'][:]
lat_rho = nc.variables['lat_rho'][:]
anglev = nc.variables['angle'][:]
desired_stop_date = date_mid+datetime.timedelta(0,3600.*hours_ave/2.) # specific time (UTC)
istop = netCDF4.date2index(desired_stop_date,nc.variables[tvar],select='nearest')
actual_stop_date=netCDF4.num2date(nc.variables[tvar][istop],nc.variables[tvar].units)
start_date=actual_stop_date-datetime.timedelta(0,3600.*hours_ave)
istart = netCDF4.date2index(start_date,nc.variables[tvar],select='nearest')
uvar='u'
vvar='v'
isurf_layer = -1
print('reading u...')
u=np.mean(nc.variables[uvar][istart:istop:time_sub,isurf_layer,:,:],axis=0)
print('reading v...')
v=np.mean(nc.variables[vvar][istart:istop:time_sub,isurf_layer,:,:],axis=0)
print('done reading data...')
u = roms_utils.shrink(u, mask[1:-1, 1:-1].shape)
v = roms_utils.shrink(v, mask[1:-1, 1:-1].shape)
u, v = roms_utils.rot2d(u, v, anglev[1:-1, 1:-1])
# <codecell>
lon=lon_rho[1:-1,1:-1]
lat=lat_rho[1:-1,1:-1]
# <codecell>
# <codecell>
xx2,yy2=np.meshgrid(x,y)
print('interpolating u to uniform grid...')
ui=scipy.interpolate.griddata((lon.flatten(),lat.flatten()),u.flatten(),(xx2,yy2),method='linear',fill_value=0.0)
print('interpolating v to uniform grid...')
vi=scipy.interpolate.griddata((lon.flatten(),lat.flatten()),v.flatten(),(xx2,yy2),method='linear',fill_value=0.0)
ui[np.isnan(ui)]=0.0
vi[np.isnan(vi)]=0.0
return ui,vi
def surf_vel_scb(x, y, url, lonlat_sub=1, time_sub=6):
#url = 'http://testbedapps-dev.sura.org/thredds/dodsC/alldata/Shelf_Hypoxia/tamu/roms/tamu_roms.nc'
#url='http://tds.ve.ismar.cnr.it:8080/thredds/dodsC/field2_test/run1/his'
#####################################################################################
nc = netCDF4.Dataset(url)
mask = nc.variables['mask_rho'][:]
lon_rho = nc.variables['lon_rho'][:]
lat_rho = nc.variables['lat_rho'][:]
anglev = nc.variables['angle'][:]
uvar = 'u'
vvar = 'v'
isurf_layer = -1
print('reading u...')
u = np.mean(nc.variables[uvar][0:24:3, isurf_layer, :, :], axis=0)
print('reading v...')
v = np.mean(nc.variables[vvar][0:24:3, isurf_layer, :, :], axis=0)
print('done reading data...')
u = roms_utils.shrink(u, mask[1:-1, 1:-1].shape)
v = roms_utils.shrink(v, mask[1:-1, 1:-1].shape)
u, v = roms_utils.rot2d(u, v, anglev[1:-1, 1:-1])
# <codecell>
lon = lon_rho[1:-1, 1:-1]
lat = lat_rho[1:-1, 1:-1]
# <codecell>
# <codecell>
xx2, yy2 = np.meshgrid(x, y)
print('interpolating u to uniform grid...')
ui = scipy.interpolate.griddata((lon.flatten(), lat.flatten()),
u.flatten(), (xx2, yy2),
method='linear',
fill_value=0.0)
print('interpolating v to uniform grid...')
vi = scipy.interpolate.griddata((lon.flatten(), lat.flatten()),
v.flatten(), (xx2, yy2),
method='linear',
fill_value=0.0)
ui[np.isnan(ui)] = 0.0
vi[np.isnan(vi)] = 0.0
return ui, vi
def surf_vel_scb(x,y,url,lonlat_sub=1,time_sub=6):
#url = 'http://testbedapps-dev.sura.org/thredds/dodsC/alldata/Shelf_Hypoxia/tamu/roms/tamu_roms.nc'
#url='http://tds.ve.ismar.cnr.it:8080/thredds/dodsC/field2_test/run1/his'
#####################################################################################
nc = netCDF4.Dataset(url)
mask = nc.variables['mask_rho'][:]
lon_rho = nc.variables['lon_rho'][:]
lat_rho = nc.variables['lat_rho'][:]
anglev = nc.variables['angle'][:]
uvar='u'
vvar='v'
isurf_layer = -1
print('reading u...')
u=np.mean(nc.variables[uvar][0:24:3,isurf_layer,:,:],axis=0)
print('reading v...')
v=np.mean(nc.variables[vvar][0:24:3,isurf_layer,:,:],axis=0)
print('done reading data...')
u = roms_utils.shrink(u, mask[1:-1, 1:-1].shape)
v = roms_utils.shrink(v, mask[1:-1, 1:-1].shape)
u, v = roms_utils.rot2d(u, v, anglev[1:-1, 1:-1])
# <codecell>
lon=lon_rho[1:-1,1:-1]
lat=lat_rho[1:-1,1:-1]
# <codecell>
# <codecell>
xx2,yy2=np.meshgrid(x,y)
print('interpolating u to uniform grid...')
ui=scipy.interpolate.griddata((lon.flatten(),lat.flatten()),u.flatten(),(xx2,yy2),method='linear',fill_value=0.0)
print('interpolating v to uniform grid...')
vi=scipy.interpolate.griddata((lon.flatten(),lat.flatten()),v.flatten(),(xx2,yy2),method='linear',fill_value=0.0)
ui[np.isnan(ui)]=0.0
vi[np.isnan(vi)]=0.0
return ui,vi