diff --git a/improver/psychrometric_calculations/cloud_condensation_level.py b/improver/psychrometric_calculations/cloud_condensation_level.py
index a65bd445ed..8f0c9440da 100644
--- a/improver/psychrometric_calculations/cloud_condensation_level.py
+++ b/improver/psychrometric_calculations/cloud_condensation_level.py
@@ -141,6 +141,8 @@ def humidity_delta(p2, p, t, q):
     def process(self, *cubes: Union[Cube, CubeList]) -> Tuple[Cube, Cube]:
         """
         Calculates the cloud condensation level from the near-surface inputs.
+        Values will be limited to the surface values where the calculated pressure is greater than
+        the original pressure, which can occur in super-saturated conditions.
 
         Args:
             cubes:
@@ -157,6 +159,11 @@ def process(self, *cubes: Union[Cube, CubeList]) -> Tuple[Cube, Cube]:
             ["air_temperature", "surface_air_pressure", "humidity_mixing_ratio"]
         )
         ccl_pressure, ccl_temperature = self._iterate_to_ccl()
+        # Limit values so they are no greater than the original pressure.
+        # This occurs in super-saturated conditions.
+        mask = ccl_pressure > self.pressure.data
+        ccl_pressure = np.where(mask, self.pressure.data, ccl_pressure)
+        ccl_temperature = np.where(mask, self.temperature.data, ccl_temperature)
         return (
             self._make_ccl_cube(ccl_temperature, is_temperature=True),
             self._make_ccl_cube(ccl_pressure, is_temperature=False),
diff --git a/improver_tests/acceptance/SHA256SUMS b/improver_tests/acceptance/SHA256SUMS
index 587fa4aa52..e070f4e097 100644
--- a/improver_tests/acceptance/SHA256SUMS
+++ b/improver_tests/acceptance/SHA256SUMS
@@ -286,8 +286,8 @@ a77fbeba45109945cf063692aee1052afb38979ebf3455fc57bc287bbda55f87  ./clip/spot_da
 9ae995a600331cf97ca5c64be4dd9a34adc9be7c5b5f987d3735af0d7973d7c3  ./cloud-condensation-level/pressure_at_surface.nc
 5d964d04169737f4116505c6b4ad5e2a894592c789303460f9d292fa204b3775  ./cloud-condensation-level/relative_humidity.nc
 0425846305d3e15ef78f303855254f902c6a06d33caa38ac1d12540da88e4a7d  ./cloud-condensation-level/temperature.nc
-fa0d7f6ff288cb56c3fe4806524cd2be56f03439d02d87bcb8c1937cb311aa38  ./cloud-condensation-level/with_id_attr/kgo.nc
-f800e8f5bcf717929dab5e0c9322fc9d8a72afd9a71b658721b63fbccd77c3a2  ./cloud-condensation-level/without_id_attr/kgo.nc
+9e35dfe9791ceb4b2278255f808ec595d73d3e1ec50647c9dc547da0c1ef09b3  ./cloud-condensation-level/with_id_attr/kgo.nc
+0751604f7ac9cb88bd9147f8f464637290bff4797b902c66f10c8dd37c6c0b45  ./cloud-condensation-level/without_id_attr/kgo.nc
 6d00c62a3716bd7df53113a370205224b833e9a9ba01178be344031f799a6a3d  ./cloud-top-temperature/cloud_condensation_level.nc
 5788b1228fbd7cce6c92a2ff6448c4f14d78d868bb45743a816f728b70c6b47d  ./cloud-top-temperature/temperature_on_pressure_levels.nc
 2ccb84718d2d367baa9b0e2dcaf70a285575de23a80d007e53af0861b93b787c  ./cloud-top-temperature/with_id_attr/kgo.nc
diff --git a/improver_tests/psychrometric_calculations/cloud_condensation_level/test_CloudCondensationLevel.py b/improver_tests/psychrometric_calculations/cloud_condensation_level/test_CloudCondensationLevel.py
index 06dc705476..bfc5e77152 100644
--- a/improver_tests/psychrometric_calculations/cloud_condensation_level/test_CloudCondensationLevel.py
+++ b/improver_tests/psychrometric_calculations/cloud_condensation_level/test_CloudCondensationLevel.py
@@ -129,6 +129,33 @@ def test_basic(
     assert np.isclose(result[1].data, expected_p, atol=1e-0).all()
 
 
+@pytest.mark.parametrize(
+    "temperature_value, pressure_value, humidity_value",
+    (
+        (293, 100000, 2.7e-1),
+        (300, 100000, 1.0e-1),
+        (189, 60300, 0.334),  # This case was found in MOGREPS-G outputs.
+    ),
+)
+def test_for_limited_values(
+    temperature,
+    pressure,
+    humidity,
+    temperature_value,
+    pressure_value,
+    humidity_value,
+):
+    """Check that for each pair of values, we get the surface temperature and pressure returned
+    and that the metadata are as expected."""
+    temperature.data = np.full_like(temperature.data, temperature_value)
+    pressure.data = np.full_like(pressure.data, pressure_value)
+    humidity.data = np.full_like(humidity.data, humidity_value)
+    result = CloudCondensationLevel()([temperature, pressure, humidity])
+    metadata_ok(result, temperature)
+    assert np.isclose(result[0].data, temperature_value, atol=1e-2).all()
+    assert np.isclose(result[1].data, pressure_value, atol=1e-0).all()
+
+
 @pytest.mark.parametrize("model_id_attr", ("mosg__model_configuration", None))
 def test_model_id_attr(temperature, pressure, humidity, model_id_attr):
     """Check that tests pass if model_id_attr is set on inputs and is applied or not"""