# Cycle through each raw file
for file in os.listdir():
if file[-7:] == "_raw.nc":
print("Gridding: " + file)
nc = Dataset(file, "r")
lat = nc.variables["latitude"][:]
lon = nc.variables["longitude"][:]
ssh = nc.variables["sea_surface_height"][:]
ice_conc = nc.variables["ice_concentration"][:]
nc.close()
# Grid dynamic ocean topography to a 1x0.5-degree grid
# grid05(data, lon, lat, lat_resolution, lon_resolution)
data = funct.grid05(ssh, lon, lat, float(lat_resolution), float(lon_resolution))
grid_ssh = data["Grid"]
grid_lon = data["Lon"]
grid_lat = data["Lat"]
data = funct.grid05(ice_conc, lon, lat, float(lat_resolution), float(lon_resolution))
grid_ice = data["Grid"]
# Make the longitudes between 0 and 360
grid_ssh, grid_lon = funct.lon_convert(grid_lon, grid_ssh)
grid_ice, grid_lon = funct.lon_convert(grid_lon, grid_ice)
# grid_lon[grid_lon < 0] += 361
# grid_ssh = grid_ssh[np.argsort(grid_lon), :]
# grid_ice = grid_ice[np.argsort(grid_lon), :]
# grid_lon = grid_lon[np.argsort(grid_lon)]
# Cycle through each raw file
for file in os.listdir():
if file[-12:] == 'MDT_track.nc':
print('Gridding: ' + file)
nc = Dataset(file, 'r')
lat = nc.variables['lat'][:]
lon = nc.variables['lon'][:]
mdt = nc.variables['mean_dynamic_topography'][:]
ice_conc = nc.variables['sea_ice_concentration'][:]
nc.close()
# Grid mean dynamic topography to a 1-degree grid
data = funct.grid05(mdt, lon, lat, 1)
grid_mdt = data['Grid']
grid_lon = data['Lon']
grid_lat = data['Lat']
data = funct.grid05(ice_conc, lon, lat, 1)
grid_ice = data['Grid']
# Put the data in a .nc file in /Users/jmh2g09/Documents/PhD/Data/Gridded
os.chdir('/Users/jmh2g09/Documents/PhD/Data/Gridded/' + year + '/MDT')
month = file[4:6]
nc = Dataset(year + month + '_MDT.nc', 'w', format='NETCDF4_CLASSIC')
nc.createDimension('lat', np.size(grid_lat))