for yi in y_p_levels:
ax.plot((x_min, x_max), (yi,yi), color = (1.0, 0.8, 0.8))
for x_T in x_T_levels:
ax.plot(x_T, y_all_p, color=(1.0, 0.5, 0.5))
for x_theta in x_thetas:
ax.plot(x_theta, y_all_p, color=(1.0, 0.7, 0.7))
for x_mixing_ratio in x_mixing_ratios:
good = p_all >= 600 # restrict mixing ratio lines to below 600 mb
ax.plot(x_mixing_ratio[good], y_all_p[good], color = (0.8, 0.8, 0.6))
n_moist = len(theta_ep_mesh)
moist_colors = ((0.6, 0.9, 0.7),)*n_moist
ax.contour(x_from_Tp(mesh_T+C_to_K, mesh_p), y_from_p(mesh_p),
theta_ep_mesh, theta_ep_levels, colors = moist_colors)
ax.axis((x_min, x_max, y_min, y_max))
def format_coord(x, y):
T, p = to_thermo(x, y)
return "{0:5.1f} C, {1:5.1f} mb".format(float(T), float(p))
ax.format_coord = format_coord
ax.plot(x_snd_Td, y_snd_p, linewidth = 2, color = 'g')
ax.plot(x_snd_T, y_snd_p, linewidth = 2, color = 'r')
plt.show()
for x_T in x_T_levels:
ax.plot(x_T, y_all_p, color=(1.0, 0.5, 0.5))
for x_theta in x_thetas:
ax.plot(x_theta, y_all_p, color=(1.0, 0.7, 0.7))
for x_mixing_ratio in x_mixing_ratios:
good = p_all >= 600 # restrict mixing ratio lines to below 600 mb
ax.plot(x_mixing_ratio[good], y_all_p[good], color=(0.8, 0.8, 0.6))
n_moist = len(theta_ep_mesh)
moist_colors = ((0.6, 0.9, 0.7), ) * n_moist
ax.contour(x_from_Tp(mesh_T + C_to_K, mesh_p),
y_from_p(mesh_p),
theta_ep_mesh,
theta_ep_levels,
colors=moist_colors)
ax.axis((x_min, x_max, y_min, y_max))
def format_coord(x, y):
T, p = to_thermo(x, y)
return "{0:5.1f} C, {1:5.1f} mb".format(float(T), float(p))
ax.format_coord = format_coord
ax.plot(x_snd_Td, y_snd_p, linewidth=2, color='g')
ax.plot(x_snd_T, y_snd_p, linewidth=2, color='r')
# Plot temperature, pressure, theta_dry, and mixing ratios for all given levels
for yi in y_P_levels:
ax.plot((x_min, x_max), (yi,yi), color = (1., 0.8, 0.8))
for x_T in x_T_levels:
ax.plot(x_T, y_all_P, color = (1., 0.5, 0.5))
for x_theta in x_thetas:
ax.plot(x_theta, y_all_P, color = (1., 0.7, 0.7))
for x_mixing_ratio in x_mixing_ratios:
good = P_all >= 600 # restrict mixing ratio lines to below 600 mb
ax.plot(x_mixing_ratio[good], y_all_P[good], color = (0.8, 0.8, 0.6))
n_moist = len(theta_ep_levels)
moist_colors = ((0.6, 0.9, 0.7),)*n_moist # define colors for theta_ep contours
# Plot 2D grid of theta_ep and theta_e
ax.contour(x_from_TP(mesh_T+C_to_K, mesh_P), y_from_P(mesh_P), theta_ep_mesh, theta_ep_levels, colors = moist_colors)
ax.contour(x_from_TP(mesh_T+C_to_K, mesh_P), y_from_P(mesh_P), theta_e_mesh, theta_e_levels, colors = 'c')
ax.axis((x_min, x_max, y_min, y_max))
# Import real sounding data (as .txt)
sounding_data = parse_SPC('test_sounding.txt')
snd_T = sounding_data['T']
good_T = (snd_T > -100.) & (snd_T < 60.)
snd_P = sounding_data['p']
snd_Td = sounding_data['Td']
x_snd_T = x_from_TP(snd_T+C_to_K, snd_P)
x_snd_Td = x_from_TP(snd_Td+C_to_K, snd_P)
y_snd_P = y_from_P(snd_P)
ax.plot(x_snd_T, y_snd_P, linewidth=2, color='r')
ax.plot(x_snd_Td, y_snd_P, linewidth=2, color='g')
