diff --git a/mlair/data_handler/data_handler_with_filter.py b/mlair/data_handler/data_handler_with_filter.py
index e76f396aea80b2db76e01ea5baacf71d024b0d23..a506d261377e19e2f8c5ee08640f2288b7407789 100644
--- a/mlair/data_handler/data_handler_with_filter.py
+++ b/mlair/data_handler/data_handler_with_filter.py
@@ -393,7 +393,8 @@ class DataHandlerClimateFirFilterSingleStation(DataHandlerFirFilterSingleStation
                                climate_filter.filtered_data]
 
         # create input data with filter index
-        input_data = xr.concat(climate_filter_data, pd.Index(self.create_filter_index(), name=self.filter_dim))
+        input_data = xr.concat(climate_filter_data, pd.Index(self.create_filter_index(add_unfiltered_index=False),
+                                                             name=self.filter_dim))
 
         # add unfiltered raw data
         if self._add_unfiltered is True:
@@ -410,7 +411,7 @@ class DataHandlerClimateFirFilterSingleStation(DataHandlerFirFilterSingleStation
         # self.input_data.sel(filter="low", variables="temp", Stations="DEBW107").plot()
         # self.input_data.sel(variables="temp", Stations="DEBW107").plot.line(hue="filter")
 
-    def create_filter_index(self) -> pd.Index:
+    def create_filter_index(self, add_unfiltered_index=True) -> pd.Index:
         """
         Round cut off periods in days and append 'res' for residuum index.