diff --git a/mlair/run_modules/post_processing.py b/mlair/run_modules/post_processing.py
index b16028fad56c128cf7431effbab7b25687d485fe..3b9b563426a80816f7cf1ea9e114a8395d9fbba0 100644
--- a/mlair/run_modules/post_processing.py
+++ b/mlair/run_modules/post_processing.py
@@ -108,6 +108,7 @@ class PostProcessing(RunEnvironment):
             skill_score_competitive, skill_score_climatological, errors = self.calculate_error_metrics()
             self.skill_scores = (skill_score_competitive, skill_score_climatological)
         self.report_error_metrics(errors)
+        self.report_error_metrics(skill_score_climatological)
 
         # plotting
         self.plot()
@@ -716,6 +717,10 @@ class PostProcessing(RunEnvironment):
         path_config.check_path_and_create(report_path)
         metric_collection = {}
         for station, station_errors in errors.items():
+            if isinstance(station_errors, xr.DataArray):
+                dim = station_errors.dims[0]
+                sel_index = [sel for sel in station_errors.coords[dim] if "CASE" in str(sel)]
+                station_errors = {str(i.values): station_errors.sel(**{dim: i}) for i in sel_index}
             for metric, vals in station_errors.items():
                 if metric == "n":
                     continue
@@ -726,7 +731,9 @@ class PostProcessing(RunEnvironment):
                 metric_collection[metric] = mc
         for metric, error_df in metric_collection.items():
             df = error_df.sort_index()
-            df.reindex(df.index.drop(["total"]).to_list() + ["total"], )
+            if "total" in df.index:
+                df.reindex(df.index.drop(["total"]).to_list() + ["total"], )
             column_format = tables.create_column_format_for_tex(df)
-            tables.save_to_tex(report_path, f"error_report_{metric}.tex", column_format=column_format, df=df)
-            tables.save_to_md(report_path, f"error_report_{metric}.md", df=df)
+            file_name = f"error_report_{metric}.%s".replace(' ', '_')
+            tables.save_to_tex(report_path, file_name % "tex", column_format=column_format, df=df)
+            tables.save_to_md(report_path, file_name % "md", df=df)