diff --git a/mlair/configuration/defaults.py b/mlair/configuration/defaults.py
index 3da91b18c9af86abaa9492f2bc7ed6c15dc9fe5e..0c8254b3f6bd3e37f31b5101f4e8852615807648 100644
--- a/mlair/configuration/defaults.py
+++ b/mlair/configuration/defaults.py
@@ -48,7 +48,7 @@ DEFAULT_CREATE_NEW_BOOTSTRAPS = False
 DEFAULT_NUMBER_OF_BOOTSTRAPS = 20
 DEFAULT_PLOT_LIST = ["PlotMonthlySummary", "PlotStationMap", "PlotClimatologicalSkillScore", "PlotTimeSeries",
                      "PlotCompetitiveSkillScore", "PlotBootstrapSkillScore", "PlotConditionalQuantiles",
-                     "PlotAvailability"]
+                     "PlotAvailability", "PlotSeparationOfScales"]
 DEFAULT_SAMPLING = "daily"
 
 
diff --git a/mlair/run_modules/post_processing.py b/mlair/run_modules/post_processing.py
index b32df1a650ff4af077090923e2a60eb6198693e9..3dc91cbd54094f116f0d959fb9c845751e998464 100644
--- a/mlair/run_modules/post_processing.py
+++ b/mlair/run_modules/post_processing.py
@@ -263,9 +263,10 @@ class PostProcessing(RunEnvironment):
         plot_list = self.data_store.get("plot_list", "postprocessing")
         time_dimension = self.data_store.get("time_dim")
 
-        PlotSeparationOfScales(self.test_data, plot_folder=self.plot_path)
+        if ("filter" in self.test_data[0].get_X(as_numpy=False)[0].coords) and ("PlotSeparationOfScales" in plot_list):
+            PlotSeparationOfScales(self.test_data, plot_folder=self.plot_path)
 
-        if self.bootstrap_skill_scores is not None and "PlotBootstrapSkillScore" in plot_list:
+        if (self.bootstrap_skill_scores is not None) and ("PlotBootstrapSkillScore" in plot_list):
             PlotBootstrapSkillScore(self.bootstrap_skill_scores, plot_folder=self.plot_path, model_setup="CNN")
 
         if "PlotConditionalQuantiles" in plot_list:
diff --git a/run_mixed_sampling.py b/run_mixed_sampling.py
index 5b377509edd9e6d14f07ef33557d2025ca520727..5288063ac583e8dad24e253c5ae16810b540c5c8 100644
--- a/run_mixed_sampling.py
+++ b/run_mixed_sampling.py
@@ -22,7 +22,6 @@ def main(parser_args):
                 test_end="2011-12-31",
                 stations=["DEBW107", "DEBW013"],
                 epochs=100,
-                plot_list=["PlotAvailability"]
                 )
     workflow = DefaultWorkflow(**args)
     workflow.run()