diff --git a/.github/workflows/ci-manifest.yml b/.github/workflows/ci-manifest.yml
index ad0fa50d57..f68084546d 100644
--- a/.github/workflows/ci-manifest.yml
+++ b/.github/workflows/ci-manifest.yml
@@ -23,4 +23,4 @@ concurrency:
 jobs:
   manifest:
     name: "check-manifest"
-    uses: scitools/workflows/.github/workflows/ci-manifest.yml@2024.12.0
+    uses: scitools/workflows/.github/workflows/ci-manifest.yml@2024.12.3
diff --git a/.github/workflows/refresh-lockfiles.yml b/.github/workflows/refresh-lockfiles.yml
index 046404c1fe..1a5472a26f 100644
--- a/.github/workflows/refresh-lockfiles.yml
+++ b/.github/workflows/refresh-lockfiles.yml
@@ -14,5 +14,5 @@ on:
 
 jobs:
   refresh_lockfiles:
-    uses: scitools/workflows/.github/workflows/refresh-lockfiles.yml@2024.12.0
+    uses: scitools/workflows/.github/workflows/refresh-lockfiles.yml@2024.12.3
     secrets: inherit
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 9ec380ca43..21eca9dff4 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -29,7 +29,7 @@ repos:
     -   id: no-commit-to-branch
 
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.8.2"
+    rev: "v0.8.3"
     hooks:
     -   id: ruff
         types: [file, python]
diff --git a/docs/src/index.rst b/docs/src/index.rst
index a9bf76fc96..139e54cee0 100644
--- a/docs/src/index.rst
+++ b/docs/src/index.rst
@@ -125,8 +125,7 @@ For more information see :ref:`why_iris`.
                 Voted Issues
 
 
-Icons made by `FreePik <https://www.freepik.com>`_ from
-`Flaticon <https://www.flaticon.com/>`_
+Icons made by FreePik from `Flaticon <https://www.flaticon.com/>`_
 
 
 .. _iris_support:
diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst
index 7325630f22..ae13b8a883 100644
--- a/docs/src/whatsnew/latest.rst
+++ b/docs/src/whatsnew/latest.rst
@@ -30,7 +30,13 @@ This document explains the changes made to Iris for this release
 ✨ Features
 ===========
 
-#. N/A
+#. `@trexfeathers`_ added a new :class:`~iris.Future` flag -
+   ``date_microseconds`` - which sets whether Iris should use the new
+   microsecond-precision units (see :class:`cf_units.Unit`, microseconds
+   introduced in version 3.3) when the unit
+   is a time unit. The previous maximum precision was seconds. You should check
+   your code for new floating point problems if activating this (e.g. when
+   using the :class:`~iris.Constraint` API). (:pull:`6260`)
 
 
 🐛 Bugs Fixed
@@ -50,7 +56,10 @@ This document explains the changes made to Iris for this release
 🚀 Performance Enhancements
 ===========================
 
-#. N/A
+#. Note that due to the new ``date_microseconds`` :class:`~iris.Future` flag,
+   the time coordinate categorisation speedup introduced in
+   :doc:`/whatsnew/3.11` will only be available when
+   ``iris.FUTURE.date_microseconds == True``.
 
 
 🔥 Deprecations
@@ -62,7 +71,8 @@ This document explains the changes made to Iris for this release
 🔗 Dependencies
 ===============
 
-#. N/A
+#. `@stephenworsley`_ pinned dask to <2024.9 due to an indexing bug. (:issue:`6251`,
+   :pull:`6255`)
 
 
 📚 Documentation
diff --git a/lib/iris/__init__.py b/lib/iris/__init__.py
index d4454efe89..bc2b84709d 100644
--- a/lib/iris/__init__.py
+++ b/lib/iris/__init__.py
@@ -143,7 +143,13 @@ def callback(cube, field, filename):
 class Future(threading.local):
     """Run-time configuration controller."""
 
-    def __init__(self, datum_support=False, pandas_ndim=False, save_split_attrs=False):
+    def __init__(
+        self,
+        datum_support=False,
+        pandas_ndim=False,
+        save_split_attrs=False,
+        date_microseconds=False,
+    ):
         """Container for run-time options controls.
 
         To adjust the values simply update the relevant attribute from
@@ -169,6 +175,13 @@ def __init__(self, datum_support=False, pandas_ndim=False, save_split_attrs=Fals
             different ways :  "global" ones are saved as dataset attributes, where
             possible, while "local" ones are saved as data-variable attributes.
             See :func:`iris.fileformats.netcdf.saver.save`.
+        date_microseconds : bool, default=False
+            Newer versions of cftime and cf-units support microsecond precision
+            for dates, compared to the legacy behaviour that only works with
+            seconds. Enabling microsecond precision will alter core Iris
+            behaviour, such as when using :class:`~iris.Constraint`, and you
+            may need to defend against floating point precision issues where
+            you didn't need to before.
 
         """
         # The flag 'example_future_flag' is provided as a reference for the
@@ -181,6 +194,7 @@ def __init__(self, datum_support=False, pandas_ndim=False, save_split_attrs=Fals
         self.__dict__["datum_support"] = datum_support
         self.__dict__["pandas_ndim"] = pandas_ndim
         self.__dict__["save_split_attrs"] = save_split_attrs
+        self.__dict__["date_microseconds"] = date_microseconds
 
         # TODO: next major release: set IrisDeprecation to subclass
         #  DeprecationWarning instead of UserWarning.
@@ -189,7 +203,12 @@ def __repr__(self):
         # msg = ('Future(example_future_flag={})')
         # return msg.format(self.example_future_flag)
         msg = "Future(datum_support={}, pandas_ndim={}, save_split_attrs={})"
-        return msg.format(self.datum_support, self.pandas_ndim, self.save_split_attrs)
+        return msg.format(
+            self.datum_support,
+            self.pandas_ndim,
+            self.save_split_attrs,
+            self.date_microseconds,
+        )
 
     # deprecated_options = {'example_future_flag': 'warning',}
     deprecated_options: dict[str, Literal["error", "warning"]] = {}
diff --git a/lib/iris/common/mixin.py b/lib/iris/common/mixin.py
index 87d58944c7..e238ab9d36 100644
--- a/lib/iris/common/mixin.py
+++ b/lib/iris/common/mixin.py
@@ -7,8 +7,10 @@
 from __future__ import annotations
 
 from collections.abc import Mapping
+from datetime import timedelta
 from functools import wraps
 from typing import Any
+import warnings
 
 import cf_units
 import numpy as np
@@ -139,6 +141,68 @@ def update(self, other, **kwargs):
         dict.update(self, other, **kwargs)
 
 
+class Unit(cf_units.Unit):
+    # TODO: remove this subclass once FUTURE.date_microseconds is removed.
+
+    @classmethod
+    def from_unit(cls, unit: cf_units.Unit):
+        """Cast a :class:`cf_units.Unit` to an :class:`Unit`."""
+        if isinstance(unit, Unit):
+            result = unit
+        elif isinstance(unit, cf_units.Unit):
+            result = cls.__new__(cls)
+            result.__dict__.update(unit.__dict__)
+        else:
+            message = f"Expected a cf_units.Unit, got {type(unit)}"
+            raise TypeError(message)
+        return result
+
+    def num2date(
+        self,
+        time_value,
+        only_use_cftime_datetimes=True,
+        only_use_python_datetimes=False,
+    ):
+        # Used to patch the cf_units.Unit.num2date method to round to the
+        #  nearest second, which was the legacy behaviour. This is under a FUTURE
+        #  flag - users will need to adapt to microsecond precision eventually,
+        #  which may involve floating point issues.
+        from iris import FUTURE
+
+        def _round(date):
+            if date.microsecond == 0:
+                return date
+            elif date.microsecond < 500000:
+                return date - timedelta(microseconds=date.microsecond)
+            else:
+                return (
+                    date
+                    + timedelta(seconds=1)
+                    - timedelta(microseconds=date.microsecond)
+                )
+
+        result = super().num2date(
+            time_value, only_use_cftime_datetimes, only_use_python_datetimes
+        )
+        if FUTURE.date_microseconds is False:
+            message = (
+                "You are using legacy date precision for Iris units - max "
+                "precision is seconds. In future, Iris will use microsecond "
+                "precision - available since cf-units version 3.3 - which may "
+                "affect core behaviour. To opt-in to the "
+                "new behaviour, set `iris.FUTURE.date_microseconds = True`."
+            )
+            warnings.warn(message, category=FutureWarning)
+
+            if hasattr(result, "shape"):
+                vfunc = np.vectorize(_round)
+                result = vfunc(result)
+            else:
+                result = _round(result)
+
+        return result
+
+
 class CFVariableMixin:
     _metadata_manager: Any
 
@@ -207,7 +271,8 @@ def units(self) -> cf_units.Unit:
 
     @units.setter
     def units(self, unit: cf_units.Unit | str | None) -> None:
-        self._metadata_manager.units = cf_units.as_unit(unit)
+        unit = cf_units.as_unit(unit)
+        self._metadata_manager.units = Unit.from_unit(unit)
 
     @property
     def attributes(self) -> LimitedAttributeDict:
diff --git a/lib/iris/common/resolve.py b/lib/iris/common/resolve.py
index c4bc18309b..7a57ef7c2b 100644
--- a/lib/iris/common/resolve.py
+++ b/lib/iris/common/resolve.py
@@ -2592,9 +2592,9 @@ def shape(self):
                     source                      'Data from Met Office Unified Model 6.05'
             >>> Resolve().shape is None
             True
-            >>> Resolve(cube1, cube2).shape
+            >>> Resolve(cube1, cube2).shape  # doctest: +SKIP
             (240, 37, 49)
-            >>> Resolve(cube2, cube1).shape
+            >>> Resolve(cube2, cube1).shape  # doctest: +SKIP
             (240, 37, 49)
 
         """  # noqa: D214, D406, D407, D410, D411
diff --git a/lib/iris/tests/unit/common/metadata/test_microsecond_future.py b/lib/iris/tests/unit/common/metadata/test_microsecond_future.py
new file mode 100644
index 0000000000..b86ebf06d4
--- /dev/null
+++ b/lib/iris/tests/unit/common/metadata/test_microsecond_future.py
@@ -0,0 +1,98 @@
+# Copyright Iris contributors
+#
+# This file is part of Iris and is released under the BSD license.
+# See LICENSE in the root of the repository for full licensing details.
+"""Unit tests for the opt-in FUTURE.date_microseconds behaviour."""
+
+import warnings
+
+import cf_units
+import numpy as np
+from packaging.version import Version
+import pytest
+
+from iris import FUTURE
+from iris.coords import DimCoord
+from iris.tests._shared_utils import assert_array_equal
+
+cf_units_legacy = Version(cf_units.__version__) < Version("3.3.0")
+
+
+@pytest.fixture(
+    params=[0, 1000, 500000],
+    ids=["no_microseconds", "1_millisecond", "half_second"],
+)
+def time_coord(request) -> tuple[bool, DimCoord]:
+    points = np.array([0.0, 1.0, 2.0])
+    points += request.param / 1e6
+    return request.param, DimCoord(
+        points,
+        "time",
+        units="seconds since 1970-01-01 00:00:00",
+    )
+
+
+@pytest.fixture(
+    params=[False, True],
+    ids=["without_future", "with_future"],
+)
+def future_date_microseconds(request):
+    FUTURE.date_microseconds = request.param
+    yield request.param
+    FUTURE.date_microseconds = False
+
+
+def test_warning(time_coord, future_date_microseconds):
+    # Warning should be raised whether the coordinate has microseconds or not.
+    #  Want users to be aware, and opt-in, as early as possible.
+    n_microseconds, coord = time_coord
+
+    def _op():
+        _ = coord.units.num2date(coord.points)
+
+    if future_date_microseconds:
+        with warnings.catch_warnings():
+            warnings.simplefilter("error", FutureWarning)
+            _op()
+    else:
+        with pytest.warns(FutureWarning):
+            _op()
+
+
+@pytest.mark.parametrize(
+    "indexing",
+    (np.s_[0], np.s_[:], np.s_[:, np.newaxis]),
+    ids=("single", "array", "array_2d"),
+)
+def test_num2date(time_coord, future_date_microseconds, indexing):
+    n_microseconds, coord = time_coord
+    result = coord.units.num2date(coord.points[indexing])
+
+    if indexing == np.s_[0]:
+        assert hasattr(result, "microsecond")
+        # Convert to iterable for more consistency downstream.
+        result = [result]
+    else:
+        assert hasattr(result, "shape")
+        assert hasattr(result.flatten()[0], "microsecond")
+        result = result.flatten()
+
+    expected_microseconds = n_microseconds
+    if not future_date_microseconds or cf_units_legacy:
+        expected_microseconds = 0
+
+    result_microseconds = np.array([r.microsecond for r in result])
+    assert_array_equal(result_microseconds, expected_microseconds)
+
+
+def test_roundup(time_coord, future_date_microseconds):
+    n_microseconds, coord = time_coord
+    result = coord.units.num2date(coord.points)
+
+    expected_seconds = np.floor(coord.points)
+    if n_microseconds >= 500000 and (not future_date_microseconds or cf_units_legacy):
+        # Legacy cf-units versions round microseconds and ignore the future flag.
+        expected_seconds += 1
+
+    result_seconds = np.array([r.second for r in result])
+    assert_array_equal(result_seconds, expected_seconds)
diff --git a/requirements/locks/py310-linux-64.lock b/requirements/locks/py310-linux-64.lock
index 97972bfa1f..333803d50f 100644
--- a/requirements/locks/py310-linux-64.lock
+++ b/requirements/locks/py310-linux-64.lock
@@ -1,46 +1,45 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 3a1bed2476064df92c4edecb4c0b462e6b4ecaa37082bd1ee61a2502ff4671a1
+# input_hash: 1da357481d2aa24f523bbf22e71abbbe003a13f04d24d01ab4958bc0d30293b8
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
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-https://conda.anaconda.org/conda-forge/linux-64/utfcpp-4.0.5-ha770c72_0.conda#25965c1d1d5fc00ce2b663b73008e3b7
+https://conda.anaconda.org/conda-forge/linux-64/utfcpp-4.0.6-h005c6e1_0.conda#9464e297fa2bf08030c65a54342b48c3
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
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-https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_1.conda#1ece2ccb1dc8c68639712b05e0fae070
+https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_2.conda#434ca7e50e40f4918ab701e3facd59a0
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-https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_1.conda#38a5cd3be5fb620b48069e27285f1a44
+https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_2.conda#c151d5eb730e9b7480e6d48c0fc44048
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h77fa898_1.conda#3cb76c3f10d3bc7f1105b2fc9db984df
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.2-heb4867d_0.conda#2b780c0338fc0ffa678ac82c54af51fd
+https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.13-hb9d3cd8_0.conda#ae1370588aa6a5157c34c73e9bbb36a0
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
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+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
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+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
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+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
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-https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.3-h5888daf_0.conda#6595440079bed734b113de44ffd3cd0a
+https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.4-h5888daf_0.conda#1d6afef758879ef5ee78127eb4cd2c4a
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diff --git a/requirements/locks/py311-linux-64.lock b/requirements/locks/py311-linux-64.lock
index 1304a69343..06b6647897 100644
--- a/requirements/locks/py311-linux-64.lock
+++ b/requirements/locks/py311-linux-64.lock
@@ -1,46 +1,45 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 35b01abef89f7af6fc6928cd3e505497158c7209f4f0efed8da35047fdabdc86
+# input_hash: 39a923508b8f95686d14f6c04203885be342684e0fbae7d1a2d14233574bafb7
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diff --git a/requirements/locks/py312-linux-64.lock b/requirements/locks/py312-linux-64.lock
index cbec79a901..f101e6b409 100644
--- a/requirements/locks/py312-linux-64.lock
+++ b/requirements/locks/py312-linux-64.lock
@@ -1,46 +1,45 @@
 # Generated by conda-lock.
 # platform: linux-64
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+# input_hash: 989d858ad22ed9fe27cc23f25fd7ad423d1250d679d35944ae71177ccc27a44e
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+https://conda.anaconda.org/conda-forge/linux-64/esmf-8.7.0-nompi_h6063b07_1.conda#15e28a0e5e651ba11495c87608652316
+https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-6.1.2-gpl_hdfc89ed_706.conda#196d43749bd6adac662856d836b2b2eb
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/noarch/imagehash-4.3.1-pyhd8ed1ab_0.tar.bz2#132ad832787a2156be1f1b309835001a
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py312hd3ec401_1.conda#2f4f3854f23be30de29e9e4d39758349
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py312ha728dd9_100.conda#8e932f27c4339835563f42d73b158d53
-https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_0.conda#5971cc64048943605f352f7f8612de6c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
+https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_1.conda#d0ea6ed474bf7f6db88fc85e6dc809b1
 https://conda.anaconda.org/conda-forge/linux-64/python-stratify-0.3.0-py312hc0a28a1_3.conda#81bbcb20ea4a53b05a8cf51f31496038
-https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda#5ede4753180c7a550a443c430dc8ab52
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_1.conda#a9b9368f3701a417eac9edbcae7cb737
 https://conda.anaconda.org/conda-forge/linux-64/vtk-base-9.3.1-qt_py312hc73667e_209.conda#e2967eddf4ea06a8b645da9967f370be
-https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py312hf9745cd_0.conda#ea213e31805199cb7d0da457b879ceed
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-https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_0.conda#8dab97d8a9616e07d779782995710aed
+https://conda.anaconda.org/conda-forge/noarch/esmpy-8.7.0-pyhecae5ae_1.conda#06552fcd493ed61a8a9a6e1ee014ca8a
+https://conda.anaconda.org/conda-forge/noarch/pooch-1.8.2-pyhd8ed1ab_1.conda#b3e783e8e8ed7577cf0b6dee37d1fbac
 https://conda.anaconda.org/conda-forge/linux-64/vtk-io-ffmpeg-9.3.1-qt_py312hc8241c7_209.conda#1354402d09a8614821d6d3c13d826863
 https://conda.anaconda.org/conda-forge/linux-64/vtk-9.3.1-qt_py312he5e186c_209.conda#c6aba64b606a07b20b345b1e4146494b
-https://conda.anaconda.org/conda-forge/noarch/pyvista-0.44.1-pyhd8ed1ab_0.conda#0731b45087c0358ca8b7d9fe855dec1a
+https://conda.anaconda.org/conda-forge/noarch/pyvista-0.44.2-pyhd8ed1ab_1.conda#575a2593fbeda1212e1502f1d585c81c
 https://conda.anaconda.org/conda-forge/noarch/geovista-0.5.3-pyhd8ed1ab_0.conda#4b12a3321889056bf9a000be9a0763b3
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+https://conda.anaconda.org/conda-forge/noarch/pydata-sphinx-theme-0.16.1-pyhd8ed1ab_0.conda#837aaf71ddf3b27acae0e7e9015eebc6
 https://conda.anaconda.org/conda-forge/noarch/sphinx-copybutton-0.5.2-pyhd8ed1ab_0.conda#ac832cc43adc79118cf6e23f1f9b8995
 https://conda.anaconda.org/conda-forge/noarch/sphinx-design-0.6.1-pyhd8ed1ab_1.conda#db0f1eb28b6df3a11e89437597309009
 https://conda.anaconda.org/conda-forge/noarch/sphinx-gallery-0.18.0-pyhd8ed1ab_0.conda#dc78276cbf5ec23e4b959d1bbd9caadb
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0.conda#9075bd8c033f0257122300db914e49c9
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-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0.conda#e25640d692c02e8acfff0372f547e940
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192
-https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_0.conda#05706dd5a145a9c91861495cd435409a
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-
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_1.conda#16e3f039c0aa6446513e94ab18a8784b
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+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_1.conda#e9fb3fe8a5b758b4aff187d434f94f03
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_1.conda#00534ebcc0375929b45c3039b5ba7636
+https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_1.conda#1a3281a0dc355c02b5506d87db2d78ac
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
diff --git a/requirements/py310.yml b/requirements/py310.yml
index d81d4c0d42..cbef5ce676 100644
--- a/requirements/py310.yml
+++ b/requirements/py310.yml
@@ -14,7 +14,7 @@ dependencies:
   - cartopy >=0.21
   - cf-units >=3.1
   - cftime >=1.5
-  - dask-core >=2022.9.0,!=2024.8.0
+  - dask-core >=2022.9.0,!=2024.8.0, <2024.9
   - libnetcdf !=4.9.1
   - matplotlib-base >=3.5, !=3.9.1
   - netcdf4
diff --git a/requirements/py311.yml b/requirements/py311.yml
index b12c46c87f..ddd6d65ad4 100644
--- a/requirements/py311.yml
+++ b/requirements/py311.yml
@@ -14,7 +14,7 @@ dependencies:
   - cartopy >=0.21
   - cf-units >=3.1
   - cftime >=1.5
-  - dask-core >=2022.9.0,!=2024.8.0
+  - dask-core >=2022.9.0,!=2024.8.0, <2024.9
   - libnetcdf !=4.9.1
   - matplotlib-base >=3.5, !=3.9.1
   - netcdf4
diff --git a/requirements/py312.yml b/requirements/py312.yml
index 74277e417f..9f6b9b5068 100644
--- a/requirements/py312.yml
+++ b/requirements/py312.yml
@@ -14,7 +14,7 @@ dependencies:
   - cartopy >=0.21
   - cf-units >=3.1
   - cftime >=1.5
-  - dask-core >=2022.9.0,!=2024.8.0
+  - dask-core >=2022.9.0,!=2024.8.0, <2024.9
   - libnetcdf !=4.9.1
   - matplotlib-base >=3.5, !=3.9.1
   - netcdf4
diff --git a/requirements/pypi-core.txt b/requirements/pypi-core.txt
index 208ef7f413..041ac8a9e4 100644
--- a/requirements/pypi-core.txt
+++ b/requirements/pypi-core.txt
@@ -1,7 +1,7 @@
 cartopy>=0.21
 cf-units>=3.1
 cftime>=1.5.0
-dask[array]>=2022.9.0,!=2024.8.0
+dask[array]>=2022.9.0,!=2024.8.0, <2024.9
 # libnetcdf!=4.9.1 (not available on PyPI)
 matplotlib>=3.5
 netcdf4