diff --git a/esmvalcore/cmor/_fixes/obs4mips/airs_2_0.py b/esmvalcore/cmor/_fixes/obs4mips/airs_2_0.py
new file mode 100644
index 0000000000..b8eab7b711
--- /dev/null
+++ b/esmvalcore/cmor/_fixes/obs4mips/airs_2_0.py
@@ -0,0 +1,35 @@
+"""Fixes for obs4MIPs dataset AIRS-2-0."""
+import dask.array as da
+
+from ..fix import Fix
+
+
+class Hur(Fix):
+    """Fixes for hur."""
+
+    def fix_metadata(self, cubes):
+        """Fix metadata.
+
+        Convert units from `1` to `%` and remove `valid_range` attribute.
+
+        Parameters
+        ----------
+        cubes: iris.cube.CubeList
+            Input cubes.
+
+        Returns
+        -------
+        iris.cube.CubeList
+            Fixed cubes.
+
+        """
+        for cube in cubes:
+            # Put information from valid_range into mask and remove the
+            # attribute (otherwise this will cause problems after reloading the
+            # data with different units)
+            valid_range = cube.attributes['valid_range']
+            cube.data = da.ma.masked_outside(cube.core_data(), *valid_range)
+            cube.attributes.pop('valid_range', None)
+
+            cube.convert_units('%')
+        return cubes
diff --git a/tests/integration/cmor/_fixes/obs4mips/test_airs_2_0.py b/tests/integration/cmor/_fixes/obs4mips/test_airs_2_0.py
new file mode 100644
index 0000000000..9ba4603f8c
--- /dev/null
+++ b/tests/integration/cmor/_fixes/obs4mips/test_airs_2_0.py
@@ -0,0 +1,31 @@
+"""Test AIRS-2-0 fixes."""
+import dask.array as da
+import numpy as np
+from iris.cube import Cube, CubeList
+
+from esmvalcore.cmor.fix import fix_metadata
+
+
+def test_fix_metadata_hur():
+    """Test ``fix_metadata`` for hur."""
+    cubes = CubeList([
+        Cube(
+            da.from_array([-0.1, 0.2, 1.2, 1.7]),
+            var_name='hur',
+            units='1',
+            attributes={'valid_range': [0.0, 1.5]},
+        ),
+    ])
+
+    fixed_cubes = fix_metadata(
+        cubes, 'hur', 'obs4MIPs', 'AIRS-2-0', 'Amon', check_level=5,
+    )
+
+    assert len(fixed_cubes) == 1
+    fixed_cube = fixed_cubes[0]
+    assert fixed_cube.units == '%'
+    assert fixed_cube.attributes == {}
+    assert fixed_cube.has_lazy_data()
+    expected_data = np.ma.masked_invalid([np.nan, 20.0, 120.0, np.nan])
+    np.testing.assert_allclose(fixed_cube.data.mask, expected_data.mask)
+    np.testing.assert_allclose(fixed_cube.data, expected_data)