diff --git a/mlair/plotting/postprocessing_plotting.py b/mlair/plotting/postprocessing_plotting.py
index ac20c6f8084a04c8c0f99f9bd115888fc0d6d661..c46911c3200c2a34622c8d9b5445597473869066 100644
--- a/mlair/plotting/postprocessing_plotting.py
+++ b/mlair/plotting/postprocessing_plotting.py
@@ -124,6 +124,7 @@ class AbstractPlotClass:
         return colors
 
 
+
 @TimeTrackingWrapper
 class PlotMonthlySummary(AbstractPlotClass):
     """
@@ -281,15 +282,17 @@ class PlotStationMap(AbstractPlotClass):
         import cartopy.crs as ccrs
         if generators is not None:
             legend_elements = []
+            default_colors = self.get_dataset_colors()
             for element in generators:
                 data_collection, plot_opts = self._get_collection_and_opts(element)
+                name = data_collection.name or "unknown"
                 marker = plot_opts.get("marker", "s")
                 ms = plot_opts.get("ms", 6)
                 mec = plot_opts.get("mec", "k")
-                mfc = plot_opts.get("mfc", "b")
-                name = data_collection.name or "unknown"
+                mfc = plot_opts.get("mfc", default_colors.get(name, "b"))
                 legend_elements.append(
-                    mlines.Line2D([], [], mfc=mfc, mec=mec, marker=marker, ms=ms, linestyle='None', label=name))
+                    mlines.Line2D([], [], mfc=mfc, mec=mec, marker=self._adjust_marker(marker), ms=ms, linestyle='None',
+                                  label=name))
                 for station in data_collection:
                     coords = station.get_coordinates()
                     IDx, IDy = coords["lon"], coords["lat"]
@@ -297,6 +300,14 @@ class PlotStationMap(AbstractPlotClass):
             if len(legend_elements) > 0:
                 self._ax.legend(handles=legend_elements, loc='best')
 
+    @staticmethod
+    def _adjust_marker(marker):
+        _adjust = {4: "<", 5: ">", 6: "^", 7: "v", 8: "<", 9: ">", 10: "^", 11: "v"}
+        if isinstance(marker, int) and marker in _adjust.keys():
+            return _adjust[marker]
+        else:
+            return marker
+
     @staticmethod
     def _get_collection_and_opts(element):
         if isinstance(element, tuple):
diff --git a/mlair/run_modules/post_processing.py b/mlair/run_modules/post_processing.py
index 300d2e1dbd2ded279ee289ee64a2acd5f5c36fbc..79c0e3bf8eb8eb9ef7550984bdf6d92715a9b527 100644
--- a/mlair/run_modules/post_processing.py
+++ b/mlair/run_modules/post_processing.py
@@ -277,8 +277,9 @@ class PostProcessing(RunEnvironment):
                 logging.warning(
                     f"Skip 'PlotStationMap` because running on a hpc node: {self.data_store.get('hostname')}")
             else:
-                gens = [(self.train_val_data, {"mfc": "r", "marker": 8, "ms": 10}),
-                        (self.test_data, {"mfc": "b", "marker": 9, "ms": 10})]
+                gens = [(self.train_data, {"marker": 5, "ms": 9}),
+                        (self.val_data, {"marker": 6, "ms": 9}),
+                        (self.test_data, {"marker": 4, "ms": 9})]
                 PlotStationMap(generators=gens, plot_folder=self.plot_path)
         if "PlotMonthlySummary" in plot_list:
             PlotMonthlySummary(self.test_data.keys(), path, r"forecasts_%s_test.nc", self.target_var,