diff --git a/cara/model_scenarios.py b/cara/model_scenarios.py
index a840ae33..884348d2 100644
--- a/cara/model_scenarios.py
+++ b/cara/model_scenarios.py
@@ -514,6 +514,90 @@ waiting_room_model = [MCExposureModel(
     )
 )for qid in (100, 60)]
 
+waiting_room_model_full_winter = [MCExposureModel(
+    concentration_model=MCConcentrationModel(
+        room=models.Room(volume=100),
+        ventilation=models.SlidingWindow(
+            active=models.PeriodicInterval(period=120, duration=120),
+            inside_temp=models.PiecewiseConstant((0, 24), (293,)),
+            outside_temp=models.PiecewiseConstant((0, 24), (283,)),
+            window_height=1.6, opening_length=0.6,
+        ),
+        infected=MCInfectedPopulation(
+            number=1,
+            presence=models.SpecificInterval(((0, 2),)),
+            masked=False,
+            virus=MCVirus(halflife=3.8, qID=qid),
+            expiratory_activity=4,
+            samples=200000,
+            breathing_category=1,
+            expiratory_activity_weights=(0.7, 0.3, 0)
+        )
+    ),
+    exposed=models.Population(
+        number=14,
+        presence=models.SpecificInterval(((0, 2),)),
+        activity=models.Activity.types['Seated'],
+        mask=models.Mask.types['No mask']
+    )
+)for qid in (100, 60)]
+
+waiting_room_model_full_summer = [MCExposureModel(
+    concentration_model=MCConcentrationModel(
+        room=models.Room(volume=100),
+        ventilation=models.SlidingWindow(
+            active=models.PeriodicInterval(period=120, duration=120),
+            inside_temp=models.PiecewiseConstant((0, 24), (293,)),
+            outside_temp=models.PiecewiseConstant((0, 24), (291,)),
+            window_height=1.6, opening_length=0.6,
+        ),
+        infected=MCInfectedPopulation(
+            number=1,
+            presence=models.SpecificInterval(((0, 2),)),
+            masked=False,
+            virus=MCVirus(halflife=3.8, qID=qid),
+            expiratory_activity=4,
+            samples=200000,
+            breathing_category=1,
+            expiratory_activity_weights=(0.7, 0.3, 0)
+        )
+    ),
+    exposed=models.Population(
+        number=14,
+        presence=models.SpecificInterval(((0, 2),)),
+        activity=models.Activity.types['Seated'],
+        mask=models.Mask.types['No mask']
+    )
+)for qid in (100, 60)]
+
+waiting_room_model_periodic_winter = [MCExposureModel(
+    concentration_model=MCConcentrationModel(
+        room=models.Room(volume=100),
+        ventilation=models.SlidingWindow(
+            active=models.PeriodicInterval(period=20, duration=5),
+            inside_temp=models.PiecewiseConstant((0, 24), (293,)),
+            outside_temp=models.PiecewiseConstant((0, 24), (283,)),
+            window_height=1.6, opening_length=0.6,
+        ),
+        infected=MCInfectedPopulation(
+            number=1,
+            presence=models.SpecificInterval(((0, 2),)),
+            masked=False,
+            virus=MCVirus(halflife=3.8, qID=qid),
+            expiratory_activity=4,
+            samples=200000,
+            breathing_category=1,
+            expiratory_activity_weights=(0.7, 0.3, 0)
+        )
+    ),
+    exposed=models.Population(
+        number=14,
+        presence=models.SpecificInterval(((0, 2),)),
+        activity=models.Activity.types['Seated'],
+        mask=models.Mask.types['No mask']
+    )
+)for qid in (100, 60)]
+
 ######### S V Chorale exposure models ###########
 chorale_model = [MCExposureModel(
     concentration_model=MCConcentrationModel(