diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 2a0a6c01a5..ac83b6178b 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: "v0.1.14"
+    rev: "v0.2.1"
     hooks:
     -   id: ruff
         types: [file, python]
diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst
index 7184f91173..d2a3d27236 100644
--- a/docs/src/whatsnew/latest.rst
+++ b/docs/src/whatsnew/latest.rst
@@ -97,7 +97,10 @@ This document explains the changes made to Iris for this release
 💣 Incompatible Changes
 =======================
 
-#. N/A
+#. `@bouweandela`_ and  `@trexfeathers`_ (reviewer) updated :class:`~iris.cube.Cube`
+   comparison so equality is now possible between cubes with data containing a
+   :obj:`numpy.nan`. e.g. ``Cube([np.nan, 1.0]) == Cube([np.nan, 1.0])`` will now
+   evaluate to :obj:`True`, while previously this would have been :obj:`False`. (:pull:`5713`)
 
 
 🚀 Performance Enhancements
@@ -119,6 +122,9 @@ This document explains the changes made to Iris for this release
 
 #. `@bouweandela`_ made comparing coordinates and arrays to themselves faster. (:pull:`5691`)
 
+#. `@bouweandela`_ and  `@trexfeathers`_ (reviewer) made comparing cubes to
+   themselves faster. (:pull:`5713`)
+
 
 🔥 Deprecations
 ===============
@@ -227,6 +233,13 @@ This document explains the changes made to Iris for this release
 
 #. `@bjlittle`_ replaced `black`_ with `ruff`_. (:pull:`5634`)
 
+#. `@tkknight`_ and `@bjlittle`_ (reviewer) updated codebase to be compliant with
+   almost all of the rules for `ruff pydocstyle`_. 
+   (https://github.com/SciTools/iris/issues/5625#issuecomment-1859159734)
+
+#. `@tkknight`_ and `@bjlittle`_ (reviewer) updated codebase to ensure docstrings
+   that are not covered by the ruff checks, are consistent with numpydocstyle.
+   (:issue:`4721`)
 
 .. comment
     Whatsnew author names (@github name) in alphabetical order. Note that,
@@ -247,3 +260,4 @@ This document explains the changes made to Iris for this release
 .. _NEP29 Drop Schedule: https://numpy.org/neps/nep-0029-deprecation_policy.html#drop-schedule
 .. _codespell: https://github.com/codespell-project/codespell
 .. _split attributes project: https://github.com/orgs/SciTools/projects/5?pane=info
+.. _ruff pydocstyle: https://docs.astral.sh/ruff/rules/#pydocstyle-d
\ No newline at end of file
diff --git a/lib/iris/analysis/__init__.py b/lib/iris/analysis/__init__.py
index b9bb0c13b9..773e804a14 100644
--- a/lib/iris/analysis/__init__.py
+++ b/lib/iris/analysis/__init__.py
@@ -1577,7 +1577,7 @@ def _lazy_max_run(array, axis=-1, **kwargs):
     stepped_run_lengths = da.reductions.cumreduction(
         np.maximum.accumulate,
         np.maximum,
-        np.NINF,
+        -np.inf,
         run_totals,
         axis=axis,
         dtype=cum_sum.dtype,
diff --git a/lib/iris/cube.py b/lib/iris/cube.py
index a6f283100a..49876a023e 100644
--- a/lib/iris/cube.py
+++ b/lib/iris/cube.py
@@ -3824,6 +3824,9 @@ def _deepcopy(self, memo, data=None):
 
     # START OPERATOR OVERLOADS
     def __eq__(self, other):
+        if other is self:
+            return True
+
         result = NotImplemented
 
         if isinstance(other, Cube):
@@ -3862,7 +3865,13 @@ def __eq__(self, other):
             if result:
                 # TODO: why do we use allclose() here, but strict equality in
                 #  _DimensionalMetadata (via util.array_equal())?
-                result = da.allclose(self.core_data(), other.core_data()).compute()
+                result = bool(
+                    np.allclose(
+                        self.core_data(),
+                        other.core_data(),
+                        equal_nan=True,
+                    )
+                )
         return result
 
     # Must supply __ne__, Python does not defer to __eq__ for negative equality
diff --git a/lib/iris/fileformats/netcdf/loader.py b/lib/iris/fileformats/netcdf/loader.py
index 42b6ee509c..e25806db1c 100644
--- a/lib/iris/fileformats/netcdf/loader.py
+++ b/lib/iris/fileformats/netcdf/loader.py
@@ -708,7 +708,7 @@ def set(
             apply the `dimension_chunksizes` controls only to these variables,
             or when building :class:`~iris.cube.Cube` from these data variables.
             If ``None``, settings apply to all loaded variables.
-        dimension_chunksizes : dict of {str: int}
+        **dimension_chunksizes : dict of {str: int}
             Kwargs specifying chunksizes for dimensions of file variables.
             Each key-value pair defines a chunk size for a named file
             dimension, e.g. ``{'time': 10, 'model_levels':1}``.
diff --git a/lib/iris/tests/test_cell.py b/lib/iris/tests/test_cell.py
index d5d11b8ee5..9271f47670 100644
--- a/lib/iris/tests/test_cell.py
+++ b/lib/iris/tests/test_cell.py
@@ -131,7 +131,7 @@ def test_numpy_int_equality(self):
 
     def test_numpy_float_equality(self):
         dtypes = (
-            np.float_,
+            np.float64,
             np.float16,
             np.float32,
             np.float64,
diff --git a/lib/iris/tests/unit/cube/test_Cube.py b/lib/iris/tests/unit/cube/test_Cube.py
index b6adb0113c..3de44eefa0 100644
--- a/lib/iris/tests/unit/cube/test_Cube.py
+++ b/lib/iris/tests/unit/cube/test_Cube.py
@@ -2841,11 +2841,20 @@ def test_unit_multiply(self):
 class Test__eq__data(tests.IrisTest):
     """Partial cube equality testing, for data type only."""
 
+    def test_cube_identical_to_itself(self):
+        cube = Cube([1.0])
+        self.assertTrue(cube == cube)
+
     def test_data_float_eq(self):
         cube1 = Cube([1.0])
         cube2 = Cube([1.0])
         self.assertTrue(cube1 == cube2)
 
+    def test_data_float_nan_eq(self):
+        cube1 = Cube([np.nan, 1.0])
+        cube2 = Cube([np.nan, 1.0])
+        self.assertTrue(cube1 == cube2)
+
     def test_data_float_eqtol(self):
         val1 = np.array(1.0, dtype=np.float32)
         # NOTE: Since v2.3, Iris uses "allclose".  Prior to that we used
diff --git a/lib/iris/tests/unit/plot/test_contourf.py b/lib/iris/tests/unit/plot/test_contourf.py
index 64ab87f879..59fe631b67 100644
--- a/lib/iris/tests/unit/plot/test_contourf.py
+++ b/lib/iris/tests/unit/plot/test_contourf.py
@@ -93,7 +93,7 @@ def test_skip_contour(self):
     def test_apply_contour_nans(self):
         # Presence of nans should not prevent contours being added.
         cube = simple_2d()
-        cube.data = cube.data.astype(np.float_)
+        cube.data = cube.data.astype(np.float64)
         cube.data[0, 0] = np.nan
 
         levels = [2, 4, 6, 8]
diff --git a/requirements/locks/py310-linux-64.lock b/requirements/locks/py310-linux-64.lock
index 3126e19df4..3cbf8fb510 100644
--- a/requirements/locks/py310-linux-64.lock
+++ b/requirements/locks/py310-linux-64.lock
@@ -66,11 +66,11 @@ https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_5.conda#e73e9cfd1191783392131e6238bdb3e9
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda#700ac6ea6d53d5510591c4344d5c989a
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.42-h2797004_0.conda#d67729828dc6ff7ba44a61062ad79880
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.44.2-h2797004_0.conda#3b6a9f225c3dbe0d24f4fedd4625c5bf
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.1-h2797004_0.conda#fc4ccadfbf6d4784de88c41704792562
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda#1f5a58e686b13bcfde88b93f547d23fe
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.4-h232c23b_1.conda#53e951fab78d7e3bab40745f7b3d1620
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.5-h232c23b_0.conda#c442ebfda7a475f5e78f1c8e45f1e919
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.10.1-h2629f0a_3.conda#ac79812548e7e8cf61f7b0abdef01d3b
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.42-hcad00b1_0.conda#679c8961826aa4b50653bce17ee52abe
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -86,7 +86,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.78.3-h783c2da_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.26-pthreads_h413a1c8_0.conda#760ae35415f5ba8b15d09df5afe8b23a
 https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-ha9c0a0a_2.conda#55ed21669b2015f77c180feb1dd41930
 https://conda.anaconda.org/conda-forge/linux-64/python-3.10.13-hd12c33a_1_cpython.conda#ed38140af93f81319ebc472fbcf16cca
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.44.2-h2c6b66d_0.conda#4f2892c672829693fd978d065db4e8be
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.45.1-h2c6b66d_0.conda#93acf31b379acebada263b9bce3dc6ed
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.7-h8ee46fc_0.conda#49e482d882669206653b095f5206c05b
 https://conda.anaconda.org/conda-forge/noarch/alabaster-0.7.16-pyhd8ed1ab_0.conda#def531a3ac77b7fb8c21d17bb5d0badb
@@ -95,7 +95,7 @@ https://conda.anaconda.org/conda-forge/noarch/asv_runner-0.1.0-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-hd4edc92_1.tar.bz2#6c72ec3e660a51736913ef6ea68c454b
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda#f27a24d46e3ea7b70a1f98e50c62508f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hc6cd4ac_1.conda#1f95722c94f00b69af69a066c7433714
-https://conda.anaconda.org/conda-forge/noarch/certifi-2023.11.17-pyhd8ed1ab_0.conda#2011bcf45376341dd1d690263fdbc789
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda#0876280e409658fc6f9e75d035960333
 https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
 https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda#7f4a9e3fcff3f6356ae99244a014da6a
 https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
@@ -109,7 +109,7 @@ https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.
 https://conda.anaconda.org/conda-forge/noarch/execnet-2.0.2-pyhd8ed1ab_0.conda#67de0d8241e1060a479e3c37793e26f9
 https://conda.anaconda.org/conda-forge/noarch/filelock-3.13.1-pyhd8ed1ab_0.conda#0c1729b74a8152fde6a38ba0a2ab9f45
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda#0f69b688f52ff6da70bccb7ff7001d1d
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.12.2-pyhca7485f_0.conda#bf40f2a8835b78b1f91083d306b493d2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda#fad86b90138cf5d82c6f5a2ed6e683d9
 https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.10-h829c605_4.conda#252a696860674caf7a855e16f680d63a
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
 https://conda.anaconda.org/conda-forge/noarch/idna-3.6-pyhd8ed1ab_0.conda#1a76f09108576397c41c0b0c5bd84134
@@ -164,7 +164,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda#f9
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py310h2fee648_0.conda#45846a970e71ac98fd327da5d40a0a2c
 https://conda.anaconda.org/conda-forge/linux-64/coverage-7.4.1-py310h2372a71_0.conda#b2de1af90e44849451c9808312f964ae
 https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py310h2372a71_0.conda#21362970a6fea90ca507c253c20465f2
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.47.2-py310h2372a71_0.conda#0688fca50c84de6ff0df1c6440941e0e
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.48.1-py310h2372a71_0.conda#480ff621e839c5f80a52975b167500d2
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_h4f84152_100.conda#d471a5c3abc984b662d9bae3bb7fd8a5
 https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.0.1-pyha770c72_0.conda#746623a787e06191d80a2133e5daff17
 https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.3-pyhd8ed1ab_0.conda#e7d8df6509ba635247ff9aea31134262
@@ -174,7 +174,7 @@ https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-21_linux64_openb
 https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda#2a75b296096adabbabadd5e9782e5fcc
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.1-pyhd8ed1ab_0.conda#acf4b7c0bcd5fa3b0e05801c4d2accd6
 https://conda.anaconda.org/conda-forge/linux-64/pillow-10.2.0-py310h01dd4db_0.conda#9ec32d0d90f7670eb29bbba18299cf29
-https://conda.anaconda.org/conda-forge/noarch/pip-23.3.2-pyhd8ed1ab_0.conda#8591c748f98dcc02253003533bc2e4b1
+https://conda.anaconda.org/conda-forge/noarch/pip-24.0-pyhd8ed1ab_0.conda#f586ac1e56c8638b64f9c8122a7b8a67
 https://conda.anaconda.org/conda-forge/linux-64/proj-9.3.1-h1d62c97_0.conda#44ec51d0857d9be26158bb85caa74fdb
 https://conda.anaconda.org/conda-forge/noarch/pytest-8.0.0-pyhd8ed1ab_0.conda#5ba1cc5b924226349d4a49fb547b7579
 https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2#dd999d1cc9f79e67dbb855c8924c7984
@@ -184,7 +184,7 @@ https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.25.0-pyhd8ed1ab_0.co
 https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.3.0-h3d44ed6_0.conda#5a6f6c00ef982a9bc83558d9ac8f64a0
 https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.0.1-hd8ed1ab_0.conda#4a2f43a20fa404b998859c6a470ba316
 https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h9612171_113.conda#b2414908e43c442ddc68e6148774a304
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.3-py310hb13e2d6_0.conda#e5e9c6f112d581cdf465b8ca861cb14f
+https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py310hb13e2d6_0.conda#6593de64c935768b6bad3e19b3e978be
 https://conda.anaconda.org/conda-forge/noarch/pbr-6.0.0-pyhd8ed1ab_0.conda#8dbab5ba746ed14aa32cb232dc437f8f
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.6.1-py310hd5c30f3_5.conda#dc2ee770a2299307f3c127af79160d25
 https://conda.anaconda.org/conda-forge/noarch/pytest-cov-4.1.0-pyhd8ed1ab_0.conda#06eb685a3a0b146347a58dda979485da
diff --git a/requirements/locks/py311-linux-64.lock b/requirements/locks/py311-linux-64.lock
index 76201349fe..053251b045 100644
--- a/requirements/locks/py311-linux-64.lock
+++ b/requirements/locks/py311-linux-64.lock
@@ -66,11 +66,11 @@ https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_5.conda#e73e9cfd1191783392131e6238bdb3e9
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda#700ac6ea6d53d5510591c4344d5c989a
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.42-h2797004_0.conda#d67729828dc6ff7ba44a61062ad79880
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.44.2-h2797004_0.conda#3b6a9f225c3dbe0d24f4fedd4625c5bf
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.1-h2797004_0.conda#fc4ccadfbf6d4784de88c41704792562
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda#1f5a58e686b13bcfde88b93f547d23fe
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.4-h232c23b_1.conda#53e951fab78d7e3bab40745f7b3d1620
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.5-h232c23b_0.conda#c442ebfda7a475f5e78f1c8e45f1e919
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.10.1-h2629f0a_3.conda#ac79812548e7e8cf61f7b0abdef01d3b
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.42-hcad00b1_0.conda#679c8961826aa4b50653bce17ee52abe
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -86,7 +86,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.78.3-h783c2da_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.26-pthreads_h413a1c8_0.conda#760ae35415f5ba8b15d09df5afe8b23a
 https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-ha9c0a0a_2.conda#55ed21669b2015f77c180feb1dd41930
 https://conda.anaconda.org/conda-forge/linux-64/python-3.11.7-hab00c5b_1_cpython.conda#27cf681282c11dba7b0b1fd266e8f289
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.44.2-h2c6b66d_0.conda#4f2892c672829693fd978d065db4e8be
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.45.1-h2c6b66d_0.conda#93acf31b379acebada263b9bce3dc6ed
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.7-h8ee46fc_0.conda#49e482d882669206653b095f5206c05b
 https://conda.anaconda.org/conda-forge/noarch/alabaster-0.7.16-pyhd8ed1ab_0.conda#def531a3ac77b7fb8c21d17bb5d0badb
@@ -95,7 +95,7 @@ https://conda.anaconda.org/conda-forge/noarch/asv_runner-0.1.0-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-hd4edc92_1.tar.bz2#6c72ec3e660a51736913ef6ea68c454b
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda#f27a24d46e3ea7b70a1f98e50c62508f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py311hb755f60_1.conda#cce9e7c3f1c307f2a5fb08a2922d6164
-https://conda.anaconda.org/conda-forge/noarch/certifi-2023.11.17-pyhd8ed1ab_0.conda#2011bcf45376341dd1d690263fdbc789
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda#0876280e409658fc6f9e75d035960333
 https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
 https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda#7f4a9e3fcff3f6356ae99244a014da6a
 https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
@@ -109,7 +109,7 @@ https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.
 https://conda.anaconda.org/conda-forge/noarch/execnet-2.0.2-pyhd8ed1ab_0.conda#67de0d8241e1060a479e3c37793e26f9
 https://conda.anaconda.org/conda-forge/noarch/filelock-3.13.1-pyhd8ed1ab_0.conda#0c1729b74a8152fde6a38ba0a2ab9f45
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda#0f69b688f52ff6da70bccb7ff7001d1d
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.12.2-pyhca7485f_0.conda#bf40f2a8835b78b1f91083d306b493d2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda#fad86b90138cf5d82c6f5a2ed6e683d9
 https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.10-h829c605_4.conda#252a696860674caf7a855e16f680d63a
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
 https://conda.anaconda.org/conda-forge/noarch/idna-3.6-pyhd8ed1ab_0.conda#1a76f09108576397c41c0b0c5bd84134
@@ -163,7 +163,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda#f9
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py311hb3a22ac_0.conda#b3469563ac5e808b0cd92810d0697043
 https://conda.anaconda.org/conda-forge/linux-64/coverage-7.4.1-py311h459d7ec_0.conda#9caf3270065a2d40fd9a443ba1568e96
 https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py311h459d7ec_0.conda#13d385f635d7fbe9acc93600f67a6cb4
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.47.2-py311h459d7ec_0.conda#166735a569ab42067b858ca0090a0d22
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.48.1-py311h459d7ec_0.conda#36363685b6e56682b1b256eb0ad503f6
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_h4f84152_100.conda#d471a5c3abc984b662d9bae3bb7fd8a5
 https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.0.1-pyha770c72_0.conda#746623a787e06191d80a2133e5daff17
 https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.3-pyhd8ed1ab_0.conda#e7d8df6509ba635247ff9aea31134262
@@ -173,7 +173,7 @@ https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-21_linux64_openb
 https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda#2a75b296096adabbabadd5e9782e5fcc
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.1-pyhd8ed1ab_0.conda#acf4b7c0bcd5fa3b0e05801c4d2accd6
 https://conda.anaconda.org/conda-forge/linux-64/pillow-10.2.0-py311ha6c5da5_0.conda#a5ccd7f2271f28b7d2de0b02b64e3796
-https://conda.anaconda.org/conda-forge/noarch/pip-23.3.2-pyhd8ed1ab_0.conda#8591c748f98dcc02253003533bc2e4b1
+https://conda.anaconda.org/conda-forge/noarch/pip-24.0-pyhd8ed1ab_0.conda#f586ac1e56c8638b64f9c8122a7b8a67
 https://conda.anaconda.org/conda-forge/linux-64/proj-9.3.1-h1d62c97_0.conda#44ec51d0857d9be26158bb85caa74fdb
 https://conda.anaconda.org/conda-forge/noarch/pytest-8.0.0-pyhd8ed1ab_0.conda#5ba1cc5b924226349d4a49fb547b7579
 https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2#dd999d1cc9f79e67dbb855c8924c7984
@@ -183,7 +183,7 @@ https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.25.0-pyhd8ed1ab_0.co
 https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.3.0-h3d44ed6_0.conda#5a6f6c00ef982a9bc83558d9ac8f64a0
 https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.0.1-hd8ed1ab_0.conda#4a2f43a20fa404b998859c6a470ba316
 https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h9612171_113.conda#b2414908e43c442ddc68e6148774a304
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.3-py311h64a7726_0.conda#231eef4f33640338f64ef9ab690ba08d
+https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py311h64a7726_0.conda#a502d7aad449a1206efb366d6a12c52d
 https://conda.anaconda.org/conda-forge/noarch/pbr-6.0.0-pyhd8ed1ab_0.conda#8dbab5ba746ed14aa32cb232dc437f8f
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.6.1-py311hca0b8b9_5.conda#cac429fcb9126d5e6f02c8ba61c2a811
 https://conda.anaconda.org/conda-forge/noarch/pytest-cov-4.1.0-pyhd8ed1ab_0.conda#06eb685a3a0b146347a58dda979485da
diff --git a/requirements/locks/py39-linux-64.lock b/requirements/locks/py39-linux-64.lock
index 1ca47ba687..f68198c664 100644
--- a/requirements/locks/py39-linux-64.lock
+++ b/requirements/locks/py39-linux-64.lock
@@ -66,11 +66,11 @@ https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_5.conda#e73e9cfd1191783392131e6238bdb3e9
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda#700ac6ea6d53d5510591c4344d5c989a
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.42-h2797004_0.conda#d67729828dc6ff7ba44a61062ad79880
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.44.2-h2797004_0.conda#3b6a9f225c3dbe0d24f4fedd4625c5bf
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.1-h2797004_0.conda#fc4ccadfbf6d4784de88c41704792562
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda#1f5a58e686b13bcfde88b93f547d23fe
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.4-h232c23b_1.conda#53e951fab78d7e3bab40745f7b3d1620
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.5-h232c23b_0.conda#c442ebfda7a475f5e78f1c8e45f1e919
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.10.1-h2629f0a_3.conda#ac79812548e7e8cf61f7b0abdef01d3b
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.42-hcad00b1_0.conda#679c8961826aa4b50653bce17ee52abe
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
@@ -86,7 +86,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.78.3-h783c2da_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.26-pthreads_h413a1c8_0.conda#760ae35415f5ba8b15d09df5afe8b23a
 https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-ha9c0a0a_2.conda#55ed21669b2015f77c180feb1dd41930
 https://conda.anaconda.org/conda-forge/linux-64/python-3.9.18-h0755675_1_cpython.conda#255a7002aeec7a067ff19b545aca6328
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.44.2-h2c6b66d_0.conda#4f2892c672829693fd978d065db4e8be
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.45.1-h2c6b66d_0.conda#93acf31b379acebada263b9bce3dc6ed
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.7-h8ee46fc_0.conda#49e482d882669206653b095f5206c05b
 https://conda.anaconda.org/conda-forge/noarch/alabaster-0.7.16-pyhd8ed1ab_0.conda#def531a3ac77b7fb8c21d17bb5d0badb
@@ -95,7 +95,7 @@ https://conda.anaconda.org/conda-forge/noarch/asv_runner-0.1.0-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-hd4edc92_1.tar.bz2#6c72ec3e660a51736913ef6ea68c454b
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda#f27a24d46e3ea7b70a1f98e50c62508f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py39h3d6467e_1.conda#c48418c8b35f1d59ae9ae1174812b40a
-https://conda.anaconda.org/conda-forge/noarch/certifi-2023.11.17-pyhd8ed1ab_0.conda#2011bcf45376341dd1d690263fdbc789
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda#0876280e409658fc6f9e75d035960333
 https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
 https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda#7f4a9e3fcff3f6356ae99244a014da6a
 https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
@@ -109,7 +109,7 @@ https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.
 https://conda.anaconda.org/conda-forge/noarch/execnet-2.0.2-pyhd8ed1ab_0.conda#67de0d8241e1060a479e3c37793e26f9
 https://conda.anaconda.org/conda-forge/noarch/filelock-3.13.1-pyhd8ed1ab_0.conda#0c1729b74a8152fde6a38ba0a2ab9f45
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda#0f69b688f52ff6da70bccb7ff7001d1d
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.12.2-pyhca7485f_0.conda#bf40f2a8835b78b1f91083d306b493d2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda#fad86b90138cf5d82c6f5a2ed6e683d9
 https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.10-h829c605_4.conda#252a696860674caf7a855e16f680d63a
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
 https://conda.anaconda.org/conda-forge/noarch/idna-3.6-pyhd8ed1ab_0.conda#1a76f09108576397c41c0b0c5bd84134
@@ -162,7 +162,7 @@ https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0
 https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda#f907bb958910dc404647326ca80c263e
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py39h7a31438_0.conda#ac992767d7f8ed2cb27e71e78f0fb2d7
 https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py39hd1e30aa_0.conda#dc0fb8e157c7caba4c98f1e1f9d2e5f4
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.47.2-py39hd1e30aa_0.conda#4e2b802b69be81944fdcd71018b74226
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.48.1-py39hd1e30aa_0.conda#402ef3d9608c7653187a3fd6fd45b445
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_h4f84152_100.conda#d471a5c3abc984b662d9bae3bb7fd8a5
 https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.0.1-pyha770c72_0.conda#746623a787e06191d80a2133e5daff17
 https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.1.1-pyhd8ed1ab_0.conda#3d5fa25cf42f3f32a12b2d874ace8574
@@ -173,7 +173,7 @@ https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-21_linux64_openb
 https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda#2a75b296096adabbabadd5e9782e5fcc
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.1-pyhd8ed1ab_0.conda#acf4b7c0bcd5fa3b0e05801c4d2accd6
 https://conda.anaconda.org/conda-forge/linux-64/pillow-10.2.0-py39had0adad_0.conda#2972754dc054bb079d1d121918b5126f
-https://conda.anaconda.org/conda-forge/noarch/pip-23.3.2-pyhd8ed1ab_0.conda#8591c748f98dcc02253003533bc2e4b1
+https://conda.anaconda.org/conda-forge/noarch/pip-24.0-pyhd8ed1ab_0.conda#f586ac1e56c8638b64f9c8122a7b8a67
 https://conda.anaconda.org/conda-forge/linux-64/proj-9.3.1-h1d62c97_0.conda#44ec51d0857d9be26158bb85caa74fdb
 https://conda.anaconda.org/conda-forge/noarch/pytest-8.0.0-pyhd8ed1ab_0.conda#5ba1cc5b924226349d4a49fb547b7579
 https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2#dd999d1cc9f79e67dbb855c8924c7984
@@ -184,7 +184,7 @@ https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.3.0-h3d44ed6_0.conda#
 https://conda.anaconda.org/conda-forge/noarch/importlib-resources-6.1.1-pyhd8ed1ab_0.conda#d04bd1b5bed9177dd7c3cef15e2b6710
 https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.0.1-hd8ed1ab_0.conda#4a2f43a20fa404b998859c6a470ba316
 https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h9612171_113.conda#b2414908e43c442ddc68e6148774a304
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.3-py39h474f0d3_0.conda#a1f1ad2d8ebf63f13f45fb21b7f49dfb
+https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py39h474f0d3_0.conda#aa265f5697237aa13cc10f53fa8acc4f
 https://conda.anaconda.org/conda-forge/noarch/pbr-6.0.0-pyhd8ed1ab_0.conda#8dbab5ba746ed14aa32cb232dc437f8f
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.6.1-py39h15b0fa6_5.conda#85e186c7ff673b0d0026782ec353fb2a
 https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda#d5f595da2daead898ca958ac62f0307b