projection = ccrs.PlateCarree(central_longitude=180.0)
levels = np.arange(0, 1.6, 0.1)
resolution = "110m"
# Create figure and axes
fig, axes = plt.subplots(4,
2,
figsize=(16, 12),
subplot_kw={"projection": projection})
ax1, ax2, ax3, ax4, ax5, ax6, ax7, ax8 = axes.flatten()
############## Subplot 1 #################
cart.set_subplots(ax1,
projection,
resolution,
lon_min=-180,
lon_max=179,
lat_min=-66,
lat_max=66)
cs1 = ax1.pcolormesh(
lon,
lat,
a_phase_i_m,
vmin=-np.pi,
vmax=np.pi,
cmap=cmo.phase,
transform=ccrs.PlateCarree(central_longitude=0.0),
)
cart.set_grid_ticks(
ax1,
projection=ccrs.PlateCarree(),
xlim = [0, 13]
ylim = [[-1, 4], [5, 10]]
levels = np.arange(2, 8.1, 0.1)
resolution = "10m"
# initialize subplot axes:
fig = plt.figure(figsize=(22, 28))
############## Subplot 1 ##############
# Western Australia
ax1 = fig.add_subplot(421,
projection=ccrs.PlateCarree(central_longitude=180.0))
cart.set_subplots(ax1,
projection,
resolution,
lon_min=-81,
lon_max=-59,
lat_min=-35,
lat_max=-20)
cs1 = ax1.contourf(
lon_w,
lat_w,
wsp_moments_mean[0, :, :],
levels,
cmap=cmo.thermal,
extend="both",
transform=ccrs.PlateCarree(central_longitude=0.0),
)
cart.grid_lines_rc(
ax1,
xticks=[100, 104, 108, 112, 116, 120],
cmaplist = [cmap(i) for i in range(cmap.N)]
# create the new map
cmap = matplotlib.colors.LinearSegmentedColormap.from_list(
"Custom cmap", cmaplist, cmap.N)
# define the bins and normalize
bounds = np.linspace(-np.pi, np.pi, 13)
norm = matplotlib.colors.BoundaryNorm(bounds, cmap.N)
######## Suplot 1 ########
cart.set_subplots(
axes,
projection,
resolution,
lon_min=-180,
lon_max=179,
lat_min=-66,
lat_max=66,
)
cs1 = axes.pcolor(
lon,
lat,
phase_diff,
vmin=-np.pi,
vmax=np.pi,
cmap=cmap,
transform=ccrs.PlateCarree(central_longitude=0.0),
)
cart.set_grid_ticks(
axes,
# Adjust prob_swell and longitude for plotting.
prob_swell, lon_ps = add_cyclic_point(prob_swell, coord=lon_ps)
# Initialize variables for plotting
projection = ccrs.PlateCarree(central_longitude=180.0)
xticks = [160, 180, -160, -140]
yticks = [-20, -10, 0, 10]
resolution = "10m"
# Create figure and axes
fig, axes = plt.subplots(2, 1, figsize=(16, 12), subplot_kw={"projection": projection})
ax1, ax2 = axes.flatten()
############## Subplot 1 #################
cart.set_subplots(
ax1, projection, resolution, lon_min=-30, lon_max=50, lat_min=-25, lat_max=11
)
cs1 = ax1.pcolormesh(
lon_i,
lat_i,
a_phase_m,
vmin=-np.pi,
vmax=np.pi,
cmap=cmo.phase,
transform=ccrs.PlateCarree(central_longitude=0.0),
)
cart.set_grid_ticks(
ax1,
projection=ccrs.PlateCarree(),
xticks=xticks,
yticks=yticks,
]
xlim = [0, 13]
ylim = [[-1, 4], [3, 10]]
resolution = "10m"
# initialize subplot axes:
fig = plt.figure(figsize=(22, 28))
############## Subplot 1 #################
# Central South Atlantic
ax1 = fig.add_subplot(621,
projection=ccrs.PlateCarree(central_longitude=180.0))
cart.set_subplots(ax1,
projection,
resolution,
lon_min=154,
lon_max=179,
lat_min=-12,
lat_max=0)
cs1 = ax1.pcolormesh(
lon_reg_saw,
lat_reg_saw,
s_atlantic_w_m,
vmin=-np.pi,
vmax=np.pi,
cmap=cmo.phase,
transform=ccrs.PlateCarree(central_longitude=0.0),
)
cart.grid_lines_rc(
ax1,
xticks=[-26, -22, -18, -14, -10, -6, -2],
