Provide data for clouds extension MWE

The necessary data files have been added to the LEX data directory for the
clouds extension to provide a full minimal working example on any machine.
Additionally, the config file and plotting modules have been updated to
reflect this change.

Fixes #17

clouds/clouds/cesm_cldhgh_ann.py

@@ -10,15 +10,12 @@ from livvkit.util import elements as el
 describe = """CESM_cldhgh_ANN plot."""
 
 
-def make_plot(config=None, out_path='.',
-              cloud_path='/lustre/atlas1/cli115/world-shared/4ue/obs_data/',
-              cism_path='/lustre/atlas1/cli115/world-shared/4ue/',
-              cesm_path='/lustre/atlas1/cli115/world-shared/4ue/b.e10.BG20TRCN.f09_g16.002/'):
+def make_plot(config, out_path='.'):
     # ---------------- Data source in TITAN ------------------------
-    f_cism = os.path.join(cism_path, 'Greenland_5km_v1.1_SacksRev_c110629.nc')
-    f_cesm_atm_climo_jja = os.path.join(cesm_path, 'postproc/atm/climos/b.e10.BG20TRCN.f09_g16.002_JJA_climo.nc')
-    f_isccp = os.path.join(cloud_path, 'ISCCP_ANN_climo.nc')
-    f_cloudsat = os.path.join(cloud_path, 'CLOUDSAT_ANN_climo.nc')
+    f_cism = os.path.join(config['cism_data'], 'Greenland_5km_v1.1_SacksRev_c110629.nc')
+    f_cesm_atm_climo_jja = os.path.join(config['cesm_atm_climos'], 'b.e10.BG20TRCN.f09_g16.002_JJA_climo.nc')
+    f_isccp = os.path.join(config['cloud_data'], 'ISCCP_ANN_climo.nc')
+    f_cloudsat = os.path.join(config['cloud_data'], 'CLOUDSAT_ANN_climo.nc')
     # --------------------------------------------------------------
 
     img_list = []
@@ -190,12 +187,7 @@ def make_plot(config=None, out_path='.',
     img_elem = el.image('CESM_cldhgh_ANN',
                         ' '.join(describe.split()),
                         img_link)
-    if config:
-        img_elem['Height'] = config['image_height']
+    img_elem['Height'] = config['image_height']
     img_list.append(img_elem)
 
     return img_list
-
-
-if __name__ == '__main__':
-    make_plot()

clouds/clouds/cesm_cldlow_ann.py

@@ -10,15 +10,12 @@ from livvkit.util import elements as el
 describe = """CESM_cldlow_ANN plot."""
 
 
-def make_plot(config=None, out_path='.',
-              cloud_path='/lustre/atlas1/cli115/world-shared/4ue/obs_data/',
-              cism_path='/lustre/atlas1/cli115/world-shared/4ue/',
-              cesm_path='/lustre/atlas1/cli115/world-shared/4ue/b.e10.BG20TRCN.f09_g16.002/'):
+def make_plot(config, out_path='.'):
     # ---------------- Data source in TITAN ------------------------
-    f_cism = os.path.join(cism_path, 'Greenland_5km_v1.1_SacksRev_c110629.nc')
-    f_cesm_atm_climo_jja = os.path.join(cesm_path, 'postproc/atm/climos/b.e10.BG20TRCN.f09_g16.002_JJA_climo.nc')
-    f_isccp = os.path.join(cloud_path, 'ISCCP_ANN_climo.nc')
-    f_cloudsat = os.path.join(cloud_path, 'CLOUDSAT_ANN_climo.nc')
+    f_cism = os.path.join(config['cism_data'], 'Greenland_5km_v1.1_SacksRev_c110629.nc')
+    f_cesm_atm_climo_jja = os.path.join(config['cesm_atm_climos'], 'b.e10.BG20TRCN.f09_g16.002_JJA_climo.nc')
+    f_isccp = os.path.join(config['cloud_data'], 'ISCCP_ANN_climo.nc')
+    f_cloudsat = os.path.join(config['cloud_data'], 'CLOUDSAT_ANN_climo.nc')
     # --------------------------------------------------------------
 
     img_list = []
@@ -190,12 +187,7 @@ def make_plot(config=None, out_path='.',
     img_elem = el.image('CESM_cldlow_ANN',
                         ' '.join(describe.split()),
                         img_link)
-    if config:
-        img_elem['Height'] = config['image_height']
+    img_elem['Height'] = config['image_height']
     img_list.append(img_elem)
 
     return img_list
-
-
-if __name__ == '__main__':
-    make_plot()

clouds/clouds/cesm_cldtot_ann.py

@@ -10,15 +10,12 @@ from livvkit.util import elements as el
 describe = """CESM_cldtot_ANN plot."""
 
 
-def make_plot(config=None, out_path='.',
-              cloud_path='/lustre/atlas1/cli115/world-shared/4ue/obs_data/',
-              cism_path='/lustre/atlas1/cli115/world-shared/4ue/',
-              cesm_path='/lustre/atlas1/cli115/world-shared/4ue/b.e10.BG20TRCN.f09_g16.002/'):
+def make_plot(config, out_path='.'):
     # ---------------- Data source in TITAN ------------------------
-    f_cism = os.path.join(cism_path, 'Greenland_5km_v1.1_SacksRev_c110629.nc')
-    f_cesm_atm_climo_jja = os.path.join(cesm_path, 'postproc/atm/climos/b.e10.BG20TRCN.f09_g16.002_JJA_climo.nc')
-    f_isccp = os.path.join(cloud_path, 'ISCCP_ANN_climo.nc')
-    f_cloudsat = os.path.join(cloud_path, 'CLOUDSAT_ANN_climo.nc')
+    f_cism = os.path.join(config['cism_data'], 'Greenland_5km_v1.1_SacksRev_c110629.nc')
+    f_cesm_atm_climo_jja = os.path.join(config['cesm_atm_climos'], 'b.e10.BG20TRCN.f09_g16.002_JJA_climo.nc')
+    f_isccp = os.path.join(config['cloud_data'], 'ISCCP_ANN_climo.nc')
+    f_cloudsat = os.path.join(config['cloud_data'], 'CLOUDSAT_ANN_climo.nc')
     # --------------------------------------------------------------
 
     img_list = []
@@ -190,12 +187,7 @@ def make_plot(config=None, out_path='.',
     img_elem = el.image('CESM_cldtot_ANN',
                         ' '.join(describe.split()),
                         img_link)
-    if config:
-        img_elem['Height'] = config['image_height']
+    img_elem['Height'] = config['image_height']
     img_list.append(img_elem)
 
     return img_list
-
-
-if __name__ == '__main__':
-    make_plot()

clouds/clouds/yearly_cycle_cldhgh.py

@@ -10,9 +10,7 @@ from livvkit.util import elements as el
 describe = """yearly_cycle_cldhgh plot."""
 
 
-def make_plot(config=None, out_path='.',
-              cloud_path='/lustre/atlas1/cli115/world-shared/4ue/obs_data/',
-              cesm_path='/lustre/atlas1/cli115/world-shared/4ue/b.e10.BG20TRCN.f09_g16.002/'):
+def make_plot(config, out_path='.'):
 
     img_list = []
 
@@ -24,18 +22,18 @@ def make_plot(config=None, out_path='.',
 
     for month in months:
         # CESM1
-        f_cesm = os.path.join(cesm_path, "postproc", "atm", "climos",
+        f_cesm = os.path.join(config['cesm_atm_climos'],
                               "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_{:02d}_aavg_climo.nc".format(month))
+        f_cloudsat = os.path.join(config['cloud_data'], "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_{:02d}_aavg_climo.nc".format(month))
+        f_isccp = os.path.join(config['cloud_data'], "ISCCP_{:02d}_aavg_climo.nc".format(month))
         ncid3 = Dataset(f_isccp, mode='r')
         isccp_cld = ncid3.variables['CLDHGH'][0]
 
@@ -74,8 +72,3 @@ def make_plot(config=None, out_path='.',
     img_list.append(img_elem)
 
     return img_list
-
-
-if __name__ == '__main__':
-    plt.switch_backend('agg')
-    make_plot()

clouds/clouds/yearly_cycle_cldlow.py

@@ -10,9 +10,7 @@ from livvkit.util import elements as el
 describe = """yearly_cycle_cldlow plot."""
 
 
-def make_plot(config=None, out_path='.',
-              cloud_path='/lustre/atlas1/cli115/world-shared/4ue/obs_data/',
-              cesm_path='/lustre/atlas1/cli115/world-shared/4ue/b.e10.BG20TRCN.f09_g16.002/'):
+def make_plot(config, out_path='.'):
 
     img_list = []
 
@@ -25,18 +23,18 @@ def make_plot(config=None, out_path='.',
     for month in months:
         # ---------------- Data source at OLCF ------------------------
         # CESM1
-        input_file1 = os.path.join(cesm_path, "postproc", "atm", "climos",
+        input_file1 = os.path.join(config['cesm_atm_climos'],
                                    "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_{:02d}_aavg_climo.nc".format(month))
+        f_cloudsat = os.path.join(config['cloud_data'], "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_{:02d}_aavg_climo.nc".format(month))
+        f_isccp = os.path.join(config['cloud_data'], "ISCCP_{:02d}_aavg_climo.nc".format(month))
         ncid3 = Dataset(f_isccp, mode='r')
         isccp_cld = ncid3.variables['CLDLOW'][0]
 
@@ -75,8 +73,3 @@ def make_plot(config=None, out_path='.',
     img_list.append(img_elem)
 
     return img_list
-
-
-if __name__ == '__main__':
-    plt.switch_backend('agg')
-    make_plot()

clouds/clouds/yearly_cycle_cldtot.py

@@ -10,9 +10,7 @@ from livvkit.util import elements as el
 describe = """yearly_cycle_cldtot plot."""
 
 
-def make_plot(config=None, out_path='.',
-              cloud_path='/lustre/atlas1/cli115/world-shared/4ue/obs_data/',
-              cesm_path='/lustre/atlas1/cli115/world-shared/4ue/b.e10.BG20TRCN.f09_g16.002/'):
+def make_plot(config, out_path='.'):
 
     img_list = []
 
@@ -25,18 +23,18 @@ def make_plot(config=None, out_path='.',
     for month in months:
         # ---------------- Data source at OLCF ------------------------
         # CESM1
-        f_cesm = os.path.join(cesm_path, "postproc", "atm", "climos",
+        f_cesm = os.path.join(config['cesm_atm_climos'],
                               "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_{:02d}_aavg_climo.nc".format(month))
+        f_cloudsat = os.path.join(config['cloud_data'], "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_{:02d}_aavg_climo.nc".format(month))
+        f_isccp = os.path.join(config['cloud_data'], "ISCCP_{:02d}_aavg_climo.nc".format(month))
         ncid3 = Dataset(f_isccp, mode='r')
         isccp_cld = ncid3.variables['CLDTOT'][0]
 
@@ -75,8 +73,3 @@ def make_plot(config=None, out_path='.',
     img_list.append(img_elem)
 
     return img_list
-
-
-if __name__ == '__main__':
-    plt.switch_backend('agg')
-    make_plot()

clouds/clouds_cesm.json

@@ -2,6 +2,9 @@
     "clouds_cesm" : {
         "module" : "clouds/clouds_cesm.py",
         "references" : "clouds/clouds_cesm.bib",
+        "cesm_atm_climos": "data/cesm/atm",
+        "cism_data": "data/cism/glissade",
+        "cloud_data": "data/clouds",
         "image_height" : 300
     }
 }