Terminator plots

transport/plotting/plot_terminator_toy.py

@@ -0,0 +1,148 @@
+"""
+Plot from the Terminator Toy test case.
+We examine the distribution of the dry density (rho_d)
+ and species (X and X2) at different times.
+
+This plots:
+(a) rho_d @ t = 0 days, (b) rho_d @ t = 518400 s (6 days), (c) rho_d @ t = 1036800 s (12 days, final time)
+(d) X @ t = 0 days, (e) X @ t = 518400 s (6 days), (f) X @ t = 1036800 s (12 days, final time)
+(g) X2 @ t = 0 days, (h) X2 @ t = 518400 s (6 days), (i) X2 @ t = 1036800 s (12 days, final time)
+"""
+from os.path import abspath, dirname
+import matplotlib.pyplot as plt
+import numpy as np
+from netCDF4 import Dataset
+from tomplot import (
+    set_tomplot_style, tomplot_cmap, plot_contoured_field, add_colorbar_fig,
+    tomplot_field_title, extract_gusto_coords, extract_gusto_field
+)
+
+test = 'terminator_toy'
+
+# ---------------------------------------------------------------------------- #
+# Directory for results and plots
+# ---------------------------------------------------------------------------- #
+# When copying this example these paths need editing, which will usually involve
+# removing the abspath part to set directory paths relative to this file
+results_file_name = f'{abspath(dirname(__file__))}/../../results/{test}/field_output.nc'
+plot_stem = f'{abspath(dirname(__file__))}/../figures/{test}'
+
+# ---------------------------------------------------------------------------- #
+# Plot details
+# ---------------------------------------------------------------------------- #
+field_names = ['rho_d', 'rho_d', 'rho_d',
+               'X', 'X', 'X',
+               'X2', 'X2', 'X2']
+time_idxs = [0, 'midpoint', -1,
+             0, 'midpoint', -1,
+             0, 'midpoint', -1]
+cbars = [False, False, True,
+         False, False, True,
+         False, False, True]
+
+# ---------------------------------------------------------------------------- #
+# General options
+# ---------------------------------------------------------------------------- #
+
+rho_contours = np.linspace(0.0, 1.00, 15)
+rho_colour_scheme = 'gist_earth_r'
+rho_field_label = r'$\rho_d$ (kg m$^{-3}$)'
+
+X_contours = np.linspace(0, 4e-6, 15)
+X_colour_scheme = 'Purples'
+X_field_label = r'$X$ (kg kg$^{-1}$)'
+
+X2_contours_first = np.linspace(0.0, 2.000000000001e-6, 15)
+X2_contours = np.linspace(0.0, 2.0e-6, 15)
+X2_colour_scheme = 'Greens'
+X2_field_label = r'$X2$ (kg kg$^{-1}$)'
+
+contour_method = 'tricontour'
+xlims = [-180, 180]
+ylims = [-90, 90]
+
+# Things that are likely the same for all plots --------------------------------
+set_tomplot_style()
+data_file = Dataset(results_file_name, 'r')
+
+# ---------------------------------------------------------------------------- #
+# PLOTTING
+# ---------------------------------------------------------------------------- #
+fig, axarray = plt.subplots(3, 3, figsize=(20, 12), sharex='all', sharey='all')
+
+for i, (ax, time_idx, field_name, cbar) in \
+        enumerate(zip(axarray.flatten(), time_idxs, field_names, cbars)):
+
+    if time_idx == 'midpoint':
+        time_idx = int((len(data_file['time'][:]) - 1) / 2)
+
+    # Data extraction ----------------------------------------------------------
+    field_data = extract_gusto_field(data_file, field_name, time_idx=time_idx)
+    coords_X, coords_Y = extract_gusto_coords(data_file, field_name)
+    # Quote time in days:
+    time = data_file['time'][time_idx] / (24.*60.*60.)
+
+    # Select options for each field --------------------------------------------
+    if field_name == 'rho_d':
+        contours = rho_contours
+        colour_scheme = rho_colour_scheme
+        field_label = rho_field_label
+        cmap, lines = tomplot_cmap(contours, colour_scheme, remove_contour=None)
+        cbar_labelpad = -10
+        data_format = '.2e'
+
+    elif field_name == 'X':
+        contours = X_contours
+        colour_scheme = X_colour_scheme
+        field_label = X_field_label
+        cmap, lines = tomplot_cmap(contours, colour_scheme, remove_contour=None)
+        cbar_labelpad = -10
+        data_format = '.2e'
+
+    elif field_name == 'X2':
+        if time_idx == 0:
+            contours = X2_contours_first
+        else:
+            contours = X2_contours
+        colour_scheme = X2_colour_scheme
+        field_label = X2_field_label
+        cmap, lines = tomplot_cmap(contours, colour_scheme, remove_contour=None)
+        cbar_labelpad = -10
+        data_format = '.2e'
+
+    # Plot data ----------------------------------------------------------------
+
+    cf, _ = plot_contoured_field(
+        ax, coords_X, coords_Y, field_data, contour_method, contours,
+        cmap=cmap, line_contours=lines
+    )
+
+    if cbar:
+        add_colorbar_fig(
+            fig, cf, field_label, ax_idxs=[i], location='right',
+            cbar_labelpad=cbar_labelpad, cbar_format=data_format
+        )
+    tomplot_field_title(
+        ax, f't = {time:.1f} s', minmax=True, minmax_format=data_format,
+        field_data=field_data
+    )
+
+    # Labels -------------------------------------------------------------------
+    if i in [0, 3, 6]:
+        ax.set_ylabel(r'$\vartheta$ (deg)', labelpad=-20)
+        ax.set_ylim(ylims)
+        ax.set_yticks(ylims)
+        ax.set_yticklabels(ylims)
+
+    if i in [6, 7, 8]:
+        ax.set_xlabel(r'$\lambda$ (deg)', labelpad=-10)
+        ax.set_xlim(xlims)
+        ax.set_xticks(xlims)
+        ax.set_xticklabels(xlims)
+
+# Save figure ------------------------------------------------------------------
+fig.subplots_adjust(wspace=0.25)
+plot_name = f'{plot_stem}.png'
+print(f'Saving figure to {plot_name}')
+fig.savefig(plot_name, bbox_inches='tight')
+plt.close()

transport/terminator_toy.py

@@ -18,14 +18,14 @@
     DGUpwind, CoupledTransportEquation, BackwardEuler, DG1Limiter, Sum,
     TerminatorToy, TransportEquationType, TracerVariableType, TracerDensity,
     MixedFSLimiter, SplitPrescribedTransport, GeneralIcosahedralSphereMesh,
-    great_arc_angle, xyz_vector_from_lonlatr
+    great_arc_angle, xyz_vector_from_lonlatr, xyz_from_lonlatr
 )
 
 terminator_toy_defaults = {
-    'ncells_per_edge': 8,     # num points per icosahedron edge (ref level 3)
-    'dt': 900.0,              # 15 minutes
+    'ncells_per_edge': 16,     # num points per icosahedron edge (ref level 4)
+    'dt': 450.0,              # 7.5 minutes
     'tmax': 12.*24.*60.*60.,  # 12 days
-    'dumpfreq': 288,          # once every 3 days with default values
+    'dumpfreq': 576,          # once every 3 days with default values
     'dirname': 'terminator_toy'
 }
 
@@ -109,6 +109,7 @@ def terminator_toy(
     # Define limiters for the interacting species
     limiter_space = domain.spaces('DG')
     sublimiters = {
+        'rho_d': DG1Limiter(limiter_space),
         'X': DG1Limiter(limiter_space),
         'X2': DG1Limiter(limiter_space)
     }
@@ -124,7 +125,7 @@ def terminator_toy(
     xyz = SpatialCoordinate(mesh)
     lamda, theta, _ = lonlatr_from_xyz(xyz[0], xyz[1], xyz[2])
     k1 = max_value(
-        0, k1_max*cos(great_arc_angle(lamda, lamda_cr, theta, theta_cr))
+        0, k1_max*cos(great_arc_angle(lamda, theta, lamda_cr, theta_cr))
     )
 
     terminator_stepper = BackwardEuler(domain)
@@ -162,18 +163,14 @@ def u_t(t):
     stepper.setup_prescribed_expr(u_t)
 
     X, Y, Z = xyz
+    X1, Y1, Z1 = xyz_from_lonlatr(lamda_c1, theta_c1, radius)
+    X2, Y2, Z2 = xyz_from_lonlatr(lamda_c2, theta_c2, radius)
 
-    X1 = cos(theta_c1)*cos(lamda_c1)
-    Y1 = cos(theta_c1)*sin(lamda_c1)
-    Z1 = sin(theta_c1)
-
-    X2 = cos(theta_c2)*cos(lamda_c2)
-    Y2 = cos(theta_c2)*sin(lamda_c2)
-    Z2 = sin(theta_c2)
-
-    g1 = exp(-5*((X-X1)**2 + (Y-Y1)**2 + (Z-Z1)**2))
-    g2 = exp(-5*((X-X2)**2 + (Y-Y2)**2 + (Z-Z2)**2))
+    b0 = 5
 
+    # The initial condition for the density is two Gaussians
+    g1 = exp(-(b0/(radius**2))*((X-X1)**2 + (Y-Y1)**2 + (Z-Z1)**2))
+    g2 = exp(-(b0/(radius**2))*((X-X2)**2 + (Y-Y2)**2 + (Z-Z2)**2))
     rho_expr = g1 + g2
 
     X_T_0 = 4e-6