Fix yearly cylce plots (were only showing out to 10 months)

clouds/clouds/yearly_cycle_cldhgh.py

@@ -16,7 +16,7 @@ def make_plot(config=None, out_path='.',
 
     img_list = []
 
-    months = ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']
+    months = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
     percent_vals = []
     model_vals = []
     cldsat_vals = []
@@ -25,17 +25,17 @@ def make_plot(config=None, out_path='.',
     for month in months:
         # CESM1
         f_cesm = os.path.join(cesm_path, "postproc", "atm", "climos",
-                              "b.e10.BG20TRCN.f09_g16.002_{}_aavg_climo.nc".format(month))
+                              "b.e10.BG20TRCN.f09_g16.002_{:02d}_aavg_climo.nc".format(month))
         ncid1 = Dataset(f_cesm, mode='r')
         model_cld = ncid1.variables['CLDHGH'][0]
 
         # CLDSAT
-        f_cloudsat = os.path.join(cloud_path, "CLOUDSAT_{}_aavg_climo.nc".format(month))
+        f_cloudsat = os.path.join(cloud_path, "CLOUDSAT_{:02d}_aavg_climo.nc".format(month))
         ncid2 = Dataset(f_cloudsat, mode='r')
         cldsat_cld = ncid2.variables['CLDHGH'][0]
 
         # ISCCP
-        f_isccp = os.path.join(cloud_path, "ISCCP_{}_aavg_climo.nc".format(month))
+        f_isccp = os.path.join(cloud_path, "ISCCP_{:02d}_aavg_climo.nc".format(month))
         ncid3 = Dataset(f_isccp, mode='r')
         isccp_cld = ncid3.variables['CLDHGH'][0]
 
@@ -58,8 +58,10 @@ def make_plot(config=None, out_path='.',
     plt.plot(months, isccp_vals, 'c-.')
     plt.xlabel('Months of climatology')
     plt.ylabel('Percent total cloud')
+    plt.tight_layout()
+
     img_path = os.path.join(out_path, 'CESM_yearly_cycle_CLDHGH.png')
-    plt.savefig(img_path, bbox_inches='tight')
+    plt.savefig(img_path)
     plt.close()
 
     img_link = os.path.join(os.path.basename(out_path),

clouds/clouds/yearly_cycle_cldlow.py

@@ -16,7 +16,7 @@ def make_plot(config=None, out_path='.',
 
     img_list = []
 
-    months = ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']
+    months = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
     percent_vals = []
     model_vals = []
     cldsat_vals = []
@@ -26,17 +26,17 @@ def make_plot(config=None, out_path='.',
         # ---------------- Data source at OLCF ------------------------
         # CESM1
         input_file1 = os.path.join(cesm_path, "postproc", "atm", "climos",
-                                   "b.e10.BG20TRCN.f09_g16.002_{}_aavg_climo.nc".format(month))
+                                   "b.e10.BG20TRCN.f09_g16.002_{:02d}_aavg_climo.nc".format(month))
         ncid1 = Dataset(input_file1, mode='r')
         model_cld = ncid1.variables['CLDLOW'][0]
 
         # CLDSAT
-        f_cloudsat = os.path.join(cloud_path, "CLOUDSAT_{}_aavg_climo.nc".format(month))
+        f_cloudsat = os.path.join(cloud_path, "CLOUDSAT_{:02d}_aavg_climo.nc".format(month))
         ncid2 = Dataset(f_cloudsat, mode='r')
         cldsat_cld = ncid2.variables['CLDLOW'][0]
 
         # ISCCP
-        f_isccp = os.path.join(cloud_path, "ISCCP_{}_aavg_climo.nc".format(month))
+        f_isccp = os.path.join(cloud_path, "ISCCP_{:02d}_aavg_climo.nc".format(month))
         ncid3 = Dataset(f_isccp, mode='r')
         isccp_cld = ncid3.variables['CLDLOW'][0]
 
@@ -59,8 +59,10 @@ def make_plot(config=None, out_path='.',
     plt.plot(months, isccp_vals, 'c-.')
     plt.xlabel('Months of climatology')
     plt.ylabel('Percent total cloud')
+    plt.tight_layout()
+
     img_path = os.path.join(out_path, 'CESM_yearly_cycle_CLDLOW.png')
-    plt.savefig(img_path, bbox_inches='tight')
+    plt.savefig(img_path)
     plt.close()
 
     img_link = os.path.join(os.path.basename(out_path),

clouds/clouds/yearly_cycle_cldtot.py

@@ -16,7 +16,7 @@ def make_plot(config=None, out_path='.',
 
     img_list = []
 
-    months = ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']
+    months = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
     percent_vals = []
     model_vals = []
     cldsat_vals = []
@@ -26,17 +26,17 @@ def make_plot(config=None, out_path='.',
         # ---------------- Data source at OLCF ------------------------
         # CESM1
         f_cesm = os.path.join(cesm_path, "postproc", "atm", "climos",
-                              "b.e10.BG20TRCN.f09_g16.002_{}_aavg_climo.nc".format(month))
+                              "b.e10.BG20TRCN.f09_g16.002_{:02d}_aavg_climo.nc".format(month))
         ncid1 = Dataset(f_cesm, mode='r')
         model_cld = ncid1.variables['CLDTOT'][0]
 
         # CLDSAT
-        f_cloudsat = os.path.join(cloud_path, "CLOUDSAT_{}_aavg_climo.nc".format(month))
+        f_cloudsat = os.path.join(cloud_path, "CLOUDSAT_{:02d}_aavg_climo.nc".format(month))
         ncid2 = Dataset(f_cloudsat, mode='r')
         cldsat_cld = ncid2.variables['CLDTOT'][0]
 
         # ISCCP
-        f_isccp = os.path.join(cloud_path, "ISCCP_{}_aavg_climo.nc".format(month))
+        f_isccp = os.path.join(cloud_path, "ISCCP_{:02d}_aavg_climo.nc".format(month))
         ncid3 = Dataset(f_isccp, mode='r')
         isccp_cld = ncid3.variables['CLDTOT'][0]
 
@@ -59,8 +59,10 @@ def make_plot(config=None, out_path='.',
     plt.plot(months, isccp_vals, 'c-.')
     plt.xlabel('Months of climatology')
     plt.ylabel('Percent total cloud')
+    plt.tight_layout()
+
     img_path = os.path.join(out_path, 'CESM_yearly_cycle_CLDTOT.png')
-    plt.savefig(img_path, bbox_inches='tight')
+    plt.savefig(img_path)
     plt.close()
 
     img_link = os.path.join(os.path.basename(out_path),