comments, print statements and some variable renaming

adding a list of wildcards used when searching for nc file - useful if reporting that none are found

coordinator/EnvSuitPipeline.py

@@ -175,8 +175,12 @@ def run_pipeline(pipeline_config, region, dateString, extracted = False, prevent
     input_spatial_points_file = workPath + 'input_spatial_points.csv'
     if prevent_overwrite: assert not os.path.exists(input_spatial_points_file)
     shutil.copy(region_spatial_points_file,input_spatial_points_file)
+    """
+    read in the input_spatial_points.csv file and get the number of spatial points which are marked as landpoint=True
+    (we will be finltering the non-landpoint locations)
+    """
     spatial_points = pd.read_csv(input_spatial_points_file)
-    spatial_dim = spatial_points.shape[0]
+    spatial_dim = spatial_points[spatial_points['landpoint']].shape[0]
 
     # Generate extraction (input) and output temporal points files
     timeresolution = 3 # hours
@@ -283,7 +287,7 @@ def run_pipeline(pipeline_config, region, dateString, extracted = False, prevent
                 result_dims = result.shape
 
                 if ((result_dims[0] != spatial_dim) or (result_dims[1] != (temporal_dim + 4))): # + 4 required because there are extra columns in the result file
-                    logger.error(f"Result dimension {result_dims} is not match with the expectation ({spatial_dim}, {temporal_dim + 4})")
+                    logger.error(f"Result dimension {result_dims} does not match with the expected: ({spatial_dim}, {temporal_dim + 4})")
                     raise IndexError
 
                 if not os.path.exists(strain_outPath):