diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst
index 25c0c5f3c9..5b23c38fe4 100644
--- a/docs/src/whatsnew/latest.rst
+++ b/docs/src/whatsnew/latest.rst
@@ -89,7 +89,15 @@ This document explains the changes made to Iris for this release
 💣 Incompatible Changes
 =======================
 
-#. N/A
+#. `@trexfeathers`_ altered testing to accept new Dask copying behaviour from
+   `dask/dask#9555`_ - copies of a Dask array created using ``da.from_array()``
+   will all ``compute()`` to a shared identical array. So creating a
+   :class:`~iris.cube.Cube` using ``Cube(data=da.from_array(...``, then
+   using :class:`~iris.cube.Cube` :meth:`~iris.cube.Cube.copy`,
+   will produce two :class:`~iris.cube.Cube`\s that both return an identical
+   array when requesting :class:`~iris.cube.Cube` :attr:`~iris.cube.Cube.data`.
+   We do not expect this to affect typical user workflows but please get in
+   touch if you need help. (:pull:`5041`)
 
 
 🚀 Performance Enhancements
@@ -133,6 +141,8 @@ This document explains the changes made to Iris for this release
    :mod:`iris.palette` in response to a deprecation warning. Using the new
    Matplotlib API also means a ``matplotlib>=3.5`` pin. (:pull:`4998`)
 
+#. See `💣 Incompatible Changes`_ for notes about `dask/dask#9555`_.
+
 
 📚 Documentation
 ================
@@ -186,3 +196,4 @@ This document explains the changes made to Iris for this release
 .. _pypa/setuptools#1684: https://github.com/pypa/setuptools/issues/1684
 .. _SciTools/cartopy@fcb784d: https://github.com/SciTools/cartopy/commit/fcb784daa65d95ed9a74b02ca292801c02bc4108
 .. _SciTools/cartopy@8860a81: https://github.com/SciTools/cartopy/commit/8860a8186d4dc62478e74c83f3b2b3e8f791372e
+.. _dask/dask#9555: https://github.com/dask/dask/pull/9555
diff --git a/lib/iris/tests/unit/cube/test_Cube.py b/lib/iris/tests/unit/cube/test_Cube.py
index 7a6a200890..5d120a6982 100644
--- a/lib/iris/tests/unit/cube/test_Cube.py
+++ b/lib/iris/tests/unit/cube/test_Cube.py
@@ -1865,12 +1865,14 @@ class Test_copy(tests.IrisTest):
     def _check_copy(self, cube, cube_copy):
         self.assertIsNot(cube_copy, cube)
         self.assertEqual(cube_copy, cube)
-        self.assertIsNot(cube_copy.data, cube.data)
+        self.assertIsNot(cube_copy.core_data(), cube.core_data())
         if ma.isMaskedArray(cube.data):
             self.assertMaskedArrayEqual(cube_copy.data, cube.data)
             if cube.data.mask is not ma.nomask:
                 # "No mask" is a constant : all other cases must be distinct.
-                self.assertIsNot(cube_copy.data.mask, cube.data.mask)
+                self.assertIsNot(
+                    cube_copy.core_data().mask, cube.core_data().mask
+                )
         else:
             self.assertArrayEqual(cube_copy.data, cube.data)
 
@@ -1911,6 +1913,9 @@ def test__masked_scalar_arraymask(self):
         self._check_copy(cube, cube.copy())
 
     def test__lazy(self):
+        # 2022-11-02: Dask's current behaviour is that the computed array will
+        #  be the same for cube and cube.copy(), even if the Dask arrays are
+        #  different.
         cube = Cube(as_lazy_data(np.array([1, 0])))
         self._check_copy(cube, cube.copy())
 
diff --git a/requirements/ci/nox.lock/py310-linux-64.lock b/requirements/ci/nox.lock/py310-linux-64.lock
index e60113c475..b4a9107fbe 100644
--- a/requirements/ci/nox.lock/py310-linux-64.lock
+++ b/requirements/ci/nox.lock/py310-linux-64.lock
@@ -8,33 +8,34 @@ https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab
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-https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.36.1-hea4e1c9_2.tar.bz2#bd4f2e711b39af170e7ff15163fe87ee
-https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-12.1.0-hdcd56e2_16.tar.bz2#b02605b875559ff99f04351fd5040760
-https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-12.1.0-ha89aaad_16.tar.bz2#6f5ba041a41eb102a1027d9e68731be7
+https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.39-hc81fddc_0.tar.bz2#c2719e2faa7bd7076d3a4b52271e5622
+https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-12.2.0-h337968e_19.tar.bz2#164b4b1acaedc47ee7e658ae6b308ca3
+https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-12.2.0-h46fd767_19.tar.bz2#1030b1f38c129f2634eae026f704fe60
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+https://conda.anaconda.org/conda-forge/linux-64/lame-3.100-h166bdaf_1003.tar.bz2#a8832b479f93521a9e7b5b743803be51
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
-https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.0.9-h166bdaf_7.tar.bz2#f82dc1c78bcf73583f2656433ce2933c
+https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.0.9-h166bdaf_8.tar.bz2#9194c9bf9428035a05352d031462eae4
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@@ -46,14 +47,15 @@ https://conda.anaconda.org/conda-forge/linux-64/libogg-1.3.4-h7f98852_1.tar.bz2#
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.21-pthreads_h78a6416_3.tar.bz2#8c5963a49b6035c40646a763293fbb35
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-https://conda.anaconda.org/conda-forge/linux-64/libudev1-249-h166bdaf_4.tar.bz2#dc075ff6fcb46b3d3c7652e543d5f334
+https://conda.anaconda.org/conda-forge/linux-64/libudev1-251-h166bdaf_0.tar.bz2#2fbd69c19564f7609d92ad887d11df98
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-https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.12-h166bdaf_4.tar.bz2#6a2e5b333ba57ce7eec61e90260cbb79
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+https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.30.2-h27087fc_1.tar.bz2#2fe2a839394ef3a1825a5e5e296060bc
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-https://conda.anaconda.org/conda-forge/linux-64/openssl-1.1.1q-h166bdaf_0.tar.bz2#07acc367c7fc8b716770cd5b36d31717
+https://conda.anaconda.org/conda-forge/linux-64/openssl-1.1.1s-h166bdaf_0.tar.bz2#e17553617ce05787d97715177be014d1
 https://conda.anaconda.org/conda-forge/linux-64/pixman-0.40.0-h36c2ea0_0.tar.bz2#660e72c82f2e75a6b3fe6a6e75c79f19
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@@ -66,43 +68,41 @@ https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007
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diff --git a/requirements/ci/nox.lock/py38-linux-64.lock b/requirements/ci/nox.lock/py38-linux-64.lock
index d6301a12b7..83fb2e641c 100644
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diff --git a/requirements/ci/nox.lock/py39-linux-64.lock b/requirements/ci/nox.lock/py39-linux-64.lock
index 76de50e763..da844ecd29 100644
--- a/requirements/ci/nox.lock/py39-linux-64.lock
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-https://conda.anaconda.org/conda-forge/linux-64/pre-commit-2.20.0-py39hf3d152e_0.tar.bz2#314c8cb1538706f62ec36cf64370f2b2
-https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.7-py39h18e9c17_0.tar.bz2#5ed8f83afff3b64fa91f7a6af8d7ff04
-https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-2.5.0-pyhd8ed1ab_0.tar.bz2#1fdd1f3baccf0deb647385c677a1a48e
+https://conda.anaconda.org/conda-forge/linux-64/pre-commit-2.20.0-py39hf3d152e_1.tar.bz2#921f8a7c2a16d18d7168fdac88b2adfe
+https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.7-py39h18e9c17_2.tar.bz2#384809c51fb2adc04773f6fa097cd051
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-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.6.0-py39hf3d152e_0.tar.bz2#93f29e4d6f852de18384412b0e0d03b5
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.6.1-py39hf3d152e_1.tar.bz2#b1df0bf44b0652eb428409d1c16c8ef4
 https://conda.anaconda.org/conda-forge/noarch/requests-2.28.1-pyhd8ed1ab_1.tar.bz2#089382ee0e2dc2eae33a04cc3c2bddb0
 https://conda.anaconda.org/conda-forge/noarch/sphinx-4.5.0-pyh6c4a22f_0.tar.bz2#46b38d88c4270ff9ba78a89c83c66345
 https://conda.anaconda.org/conda-forge/noarch/pydata-sphinx-theme-0.8.1-pyhd8ed1ab_0.tar.bz2#7d8390ec71225ea9841b276552fdffba
 https://conda.anaconda.org/conda-forge/noarch/sphinx-copybutton-0.5.0-pyhd8ed1ab_0.tar.bz2#4c969cdd5191306c269490f7ff236d9c
 https://conda.anaconda.org/conda-forge/noarch/sphinx-gallery-0.11.1-pyhd8ed1ab_0.tar.bz2#729254314a5d178eefca50acbc2687b8
 https://conda.anaconda.org/conda-forge/noarch/sphinx-panels-0.6.0-pyhd8ed1ab_0.tar.bz2#6eec6480601f5d15babf9c3b3987f34a
+