diff --git a/mlair/run_modules/post_processing.py b/mlair/run_modules/post_processing.py
index a1b7c99ed40d8fe68588d1c07a4e493b0f796607..5691624fbee3302b5815f6b60ef8c3091d42136a 100644
--- a/mlair/run_modules/post_processing.py
+++ b/mlair/run_modules/post_processing.py
@@ -158,7 +158,9 @@ class PostProcessing(RunEnvironment):
             ds = ds.rename({'XTIME': self.index_dim})
         except ValueError as e:
             logging.warning("Dimension `XTIME' does not exist")
-        self.upstream_wind_sector = ds
+        logging.info(f"PostProcessing.load_upstream_wind_sector({name_of_set}: shape of `upstream_wind_sector' is "
+                     f"{ds.shape}\ndims are {ds.dims}")
+        self.upstream_wind_sector = ds.squeeze()
 
     @TimeTrackingWrapper
     def estimate_sample_uncertainty(self, separate_ahead=False):
@@ -957,7 +959,6 @@ class PostProcessing(RunEnvironment):
         ds = xr.open_mfdataset(files)
         ds = ds.to_array(self.iter_dim)
         wind_sectors = self.data_store.get("wind_sectors", "general")
-        sector_collector = dict()
         h_sector_skill_scores = []
         for sec in wind_sectors:
             h_sector_skill_scores.append(statistics.skill_score_based_on_mse(