Version of code as of submission of revised JAMES paper.

Author: quantheory

plot_dynamics_attribution.py

@@ -62,11 +62,37 @@
     REF_CASE = E3SMCaseOutput("timestep_presaer_ctrl", "CTRLPA", MONTHLY_FILE_LOC, START_MONTH, END_MONTH)
     TEST_CASES = [
     ]
+    STYLES = {
+        "CLUBBMICRO10PA": ('indigo', '-'),
+        "ALL10PA": ('dimgrey', '-'),
+        "ZM10PA": ('g', '-'),
+        "CLUBBMICRO10ZM10PA": ('saddlebrown', '-'),
+        "CLD10PA": ('slateblue', '-'),
+        "ALL10LTPA": ('dimgrey', '-.'),
+        "ZM10LTPA": ('g', '-.'),
+        "CLUBBMICRO10ZM10LTPA": ('saddlebrown', '-.'),
+        "CLD10LTPA": ('slateblue', '-.'),
+        "CLD10LT2PA": ('slateblue', ':'),
+    }
 else:
     REF_CASE = E3SMCaseOutput("timestep_ctrl", "CTRL", MONTHLY_FILE_LOC, START_MONTH, END_MONTH)
     TEST_CASES = [
         E3SMCaseOutput("timestep_all_10s", "ALL10", MONTHLY_FILE_LOC, START_MONTH, END_MONTH),
     ]
+    STYLES = {
+        "DYN10": ('y', '-'),
+        "CLUBB10": ('b', '-'),
+        "MICRO10": ('r', '-'),
+        "CLUBB10MICRO10": ('maroon', '-'),
+        "CLUBBMICROSTR": ('m', '-'),
+        "CLUBBMICROSTR60": ('m', '--'),
+        "CLUBBMICRO60": ('indigo', '--'),
+        "CLUBBMICRO10": ('indigo', '-'),
+        "ALL10": ('r', '-'),
+        "ALL60": ('dimgrey', '--'),
+        "ALL300": ('dimgrey', ':'),
+        "ALLRAD10": ('orange', '-'),
+    }
 
 case_num = len(TEST_CASES)
 
@@ -208,9 +234,13 @@ def plot_dyn_attr(names, units, scales, log_plot_names):
                 test_total_dists[i][name] += test_var_dists[i][name]*scales[name] / nmonths
 
     omegas = 864.*np.linspace(omega_span[0] + 0.5*bin_size, omega_span[1] - 0.5*bin_size, nbins)
-    plt.plot(omegas, ref_total_pdf / bin_size, label=REF_CASE.short_name)
+    plt.semilogy(omegas, ref_total_pdf / bin_size, label=REF_CASE.short_name,
+                 color='k')
     for i in range(case_num):
-        plt.plot(omegas, test_total_pdfs[i] / bin_size, label=TEST_CASES[i].short_name)
+        plt.semilogy(omegas, test_total_pdfs[i] / bin_size,
+                     label=TEST_CASES[i].short_name,
+                     color=STYLES[TEST_CASES[i].short_name][0],
+                     linestyle=STYLES[TEST_CASES[i].short_name][1])
     plt.axis('tight')
     plt.xlabel(r'$\omega_{500}$')
     plt.ylabel(r'$p(\omega_{500})$')
@@ -231,12 +261,14 @@ def plot_dyn_attr(names, units, scales, log_plot_names):
         else:
             plot_var = plt.plot
         ref_plot_var = get_2D(ref_total_dists[name]) * ref_total_pdf
-        plot_var(omegas, ref_plot_var, label=REF_CASE.short_name)
+        plot_var(omegas, ref_plot_var, label=REF_CASE.short_name, color='k')
         for i in range(case_num):
             test_plot_var = get_2D(test_total_dists[i][name]) * test_total_pdfs[i]
             plot_var(omegas,
                      test_plot_var,
-                     label=TEST_CASES[i].short_name)
+                     label=TEST_CASES[i].short_name,
+                     color=STYLES[TEST_CASES[i].short_name][0],
+                     linestyle=STYLES[TEST_CASES[i].short_name][1])
             print(name, " for case ", TEST_CASES[i].short_name, " has total diff ",
                   (test_plot_var - ref_plot_var).sum(),
                   file=log_file, flush=True)
@@ -360,7 +392,8 @@ def plot_dyn_attr(names, units, scales, log_plot_names):
     'TMQ': r'$kg/m^2$',
     'T': r'$K$',
 }
-names = list(units.keys())
+#names = list(units.keys())
+names = ['PRECC', 'PRECL', 'PRECT', 'OMEGA500']
 scales = dict()
 for name in names:
     scales[name] = 1.