diff --git a/mlair/plotting/postprocessing_plotting.py b/mlair/plotting/postprocessing_plotting.py
index c46911c3200c2a34622c8d9b5445597473869066..aee724397a6c6e2c83d2990238035bcaec57d570 100644
--- a/mlair/plotting/postprocessing_plotting.py
+++ b/mlair/plotting/postprocessing_plotting.py
@@ -120,7 +120,7 @@ class AbstractPlotClass:
         """
         Standard colors used for train-, val-, and test-sets during postprocessing
         """
-        colors = {"train": "#e69f00", "val": "#009e73", "test": "#56b4e9"}  # hex code
+        colors = {"train": "#e69f00", "val": "#009e73", "test": "#56b4e9", "train_val": "#000000"}  # hex code
         return colors
 
 
@@ -242,7 +242,7 @@ class PlotStationMap(AbstractPlotClass):
         :width: 400
     """
 
-    def __init__(self, generators: List, plot_folder: str = "."):
+    def __init__(self, generators: List, plot_folder: str = ".", plot_name="station_map"):
         """
         Set attributes and create plot.
 
@@ -250,7 +250,7 @@ class PlotStationMap(AbstractPlotClass):
         as value.
         :param plot_folder: path to save the plot (default: current directory)
         """
-        super().__init__(plot_folder, "station_map")
+        super().__init__(plot_folder, plot_name)
         self._ax = None
         self._gl = None
         self._plot(generators)
diff --git a/mlair/run_modules/post_processing.py b/mlair/run_modules/post_processing.py
index 79c0e3bf8eb8eb9ef7550984bdf6d92715a9b527..cb24ca3cf14f1c04a99af65be15edc7151478878 100644
--- a/mlair/run_modules/post_processing.py
+++ b/mlair/run_modules/post_processing.py
@@ -281,6 +281,9 @@ class PostProcessing(RunEnvironment):
                         (self.val_data, {"marker": 6, "ms": 9}),
                         (self.test_data, {"marker": 4, "ms": 9})]
                 PlotStationMap(generators=gens, plot_folder=self.plot_path)
+                gens = [(self.train_val_data, {"marker": 8, "ms": 9}),
+                        (self.test_data, {"marker": 9, "ms": 9})]
+                PlotStationMap(generators=gens, plot_folder=self.plot_path, plot_name="station_map_var")
         if "PlotMonthlySummary" in plot_list:
             PlotMonthlySummary(self.test_data.keys(), path, r"forecasts_%s_test.nc", self.target_var,
                                plot_folder=self.plot_path)