diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml
index b1539860ed..df4a4fc9da 100644
--- a/.github/workflows/benchmark.yml
+++ b/.github/workflows/benchmark.yml
@@ -15,7 +15,7 @@ jobs:
     env:
       IRIS_TEST_DATA_LOC_PATH: benchmarks
       IRIS_TEST_DATA_PATH: benchmarks/iris-test-data
-      IRIS_TEST_DATA_VERSION: "2.12"
+      IRIS_TEST_DATA_VERSION: "2.13"
       # Lets us manually bump the cache to rebuild
       ENV_CACHE_BUILD: "0"
       TEST_DATA_CACHE_BUILD: "2"
diff --git a/.github/workflows/ci-docs-tests.yml b/.github/workflows/ci-docs-tests.yml
index 95ea891733..104c5daf6a 100644
--- a/.github/workflows/ci-docs-tests.yml
+++ b/.github/workflows/ci-docs-tests.yml
@@ -37,7 +37,7 @@ jobs:
         python-version: ["3.8"]
 
     env:
-      IRIS_TEST_DATA_VERSION: "2.12"
+      IRIS_TEST_DATA_VERSION: "2.13"
       ENV_NAME: "ci-docs-tests"
 
     steps:
diff --git a/.github/workflows/ci-tests.yml b/.github/workflows/ci-tests.yml
index 7f3ce7ae38..b70816e24f 100644
--- a/.github/workflows/ci-tests.yml
+++ b/.github/workflows/ci-tests.yml
@@ -38,7 +38,7 @@ jobs:
         python-version: ["3.8"]
 
     env:
-      IRIS_TEST_DATA_VERSION: "2.12"
+      IRIS_TEST_DATA_VERSION: "2.13"
       ENV_NAME: "ci-tests"
 
     steps:
diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst
index a955604c3e..44d7796140 100644
--- a/docs/src/whatsnew/latest.rst
+++ b/docs/src/whatsnew/latest.rst
@@ -167,6 +167,8 @@ This document explains the changes made to Iris for this release
    we no longer use the deprecated :class:`nc_time_axis.CalendarDateTime`
    when plotting against time coordinates. (:pull:`4584`)
 
+#. `@wjbenfold`_ and `@bjlittle`_ (reviewer) unpinned ``pillow``. (:pull:`4826`)
+
 
 📚 Documentation
 ================
diff --git a/lib/iris/tests/graphics/idiff.py b/lib/iris/tests/graphics/idiff.py
index 2391111e1d..a355f2cf82 100755
--- a/lib/iris/tests/graphics/idiff.py
+++ b/lib/iris/tests/graphics/idiff.py
@@ -128,18 +128,6 @@ def step_over_diffs(result_dir, display=True):
 
     reference_image_dir = Path(iris.tests.get_data_path("images"))
     repo = graphics.read_repo_json()
-    repo_from_baseline_images = graphics.generate_repo_from_baselines(
-        reference_image_dir
-    )
-
-    if not graphics.repos_equal(repo, repo_from_baseline_images):
-        msg = (
-            f"The hashes from {reference_image_dir} and the contents of "
-            f"{graphics.IMAGE_REPO_PATH} are inconsistent. \nConsider "
-            f"recreating {graphics.IMAGE_REPO_PATH.name} using "
-            f"{Path(graphics.__file__).parent}/recreate_imagerepo.py"
-        )
-        raise AssertionError(msg)
 
     # Filter out all non-test result image files.
     results = []
@@ -215,5 +203,6 @@ def step_over_diffs(result_dir, display=True):
     if not result_dir.is_dir():
         emsg = f"Invalid results directory: {result_dir}"
         raise ValueError(emsg)
+
     for args in step_over_diffs(result_dir):
         diff_viewer(*args)
diff --git a/lib/iris/tests/graphics/recreate_imagerepo.py b/lib/iris/tests/graphics/recreate_imagerepo.py
index 40a9872220..756e48688d 100755
--- a/lib/iris/tests/graphics/recreate_imagerepo.py
+++ b/lib/iris/tests/graphics/recreate_imagerepo.py
@@ -12,29 +12,44 @@
 import argparse
 from pathlib import Path
 
+from imagehash import hex_to_hash
+
 import iris.tests
 import iris.tests.graphics as graphics
 
 
 def update_json(baseline_image_dir: Path, dry_run: bool = False):
-    old_repo = graphics.read_repo_json()
-    new_repo = graphics.generate_repo_from_baselines(baseline_image_dir)
+    repo = graphics.read_repo_json()
+    suggested_repo = graphics.generate_repo_from_baselines(baseline_image_dir)
 
-    if graphics.repos_equal(old_repo, new_repo):
+    if graphics.repos_equal(repo, suggested_repo):
         msg = (
             f"No change in contents of {graphics.IMAGE_REPO_PATH} based on "
             f"{baseline_image_dir}"
         )
         print(msg)
     else:
-        for key in set(old_repo.keys()) | set(new_repo.keys()):
-            old_val = old_repo.get(key, None)
-            new_val = new_repo.get(key, None)
-            if str(old_val) != str(new_val):
+        for key in set(repo.keys()) | set(suggested_repo.keys()):
+            old_val = repo.get(key, None)
+            new_val = suggested_repo.get(key, None)
+            if old_val is None:
+                repo[key] = suggested_repo[key]
+                print(key)
+                print(f"\t{old_val} -> {new_val}")
+            elif new_val is None:
+                del repo[key]
                 print(key)
                 print(f"\t{old_val} -> {new_val}")
+            else:
+                difference = hex_to_hash(str(old_val)) - hex_to_hash(
+                    str(new_val)
+                )
+                if difference > 0:
+                    print(key)
+                    print(f"\t{old_val} -> {new_val} ({difference})")
+                    repo[key] = suggested_repo[key]
         if not dry_run:
-            graphics.write_repo_json(new_repo)
+            graphics.write_repo_json(repo)
 
 
 if __name__ == "__main__":
diff --git a/lib/iris/tests/results/imagerepo.json b/lib/iris/tests/results/imagerepo.json
index aeabf47c4d..5ae8046c5b 100644
--- a/lib/iris/tests/results/imagerepo.json
+++ b/lib/iris/tests/results/imagerepo.json
@@ -1,6 +1,6 @@
 {
     "gallery_tests.test_plot_COP_1d.TestCOP1DPlot.test_plot_COP_1d.0": "aefec91c3601249cc9b3336dc4c8cdb31a64c6d997b3c0eccb5932d285e42f33",
-    "gallery_tests.test_plot_COP_maps.TestCOPMaps.test_plot_cop_maps.0": "ea9130db95668524913d6ac168991f0d956e917ec76396b96a853dcf94696935",
+    "gallery_tests.test_plot_COP_maps.TestCOPMaps.test_plot_cop_maps.0": "ea9130db95668524913e6ac168991f0d956e917ec76396b96a853dcf94696935",
     "gallery_tests.test_plot_SOI_filtering.TestSOIFiltering.test_plot_soi_filtering.0": "fa56f295c5e0694a3c17a58d95e8da536233da99984c5af4c6739b4a9a444eb4",
     "gallery_tests.test_plot_TEC.TestTEC.test_plot_TEC.0": "e5a761b69a589a4bc46f9e48c65c6631ce61d1ce3982c13739b33193c0ee3f8c",
     "gallery_tests.test_plot_anomaly_log_colouring.TestAnomalyLogColouring.test_plot_anomaly_log_colouring.0": "ec4464e384a39b13931a9b1c85696da968d5e6e63e26847bdbd399938d3c5a4c",
@@ -8,37 +8,37 @@
     "gallery_tests.test_plot_atlantic_profiles.TestAtlanticProfiles.test_plot_atlantic_profiles.1": "eeea64dd6ea8cd99991d1322b3741e2684571cd89995b3131f32a4765ee2a1cc",
     "gallery_tests.test_plot_coriolis.TestCoriolisPlot.test_plot_coriolis.0": "e68665de9a699659c1fe99a5896965966996c46e3e19c1da3a652669c51e1a26",
     "gallery_tests.test_plot_cross_section.TestCrossSection.test_plot_cross_section.0": "ea91b17b9562e4d1609f5a05856e4ca45a52957e5ea5f13b1bca9dc0b17b1ac1",
-    "gallery_tests.test_plot_cross_section.TestCrossSection.test_plot_cross_section.1": "ea9521fb956a394068931e9be07e4aa5856cc47e4a91957a1ba55bb5b17a3b81",
+    "gallery_tests.test_plot_cross_section.TestCrossSection.test_plot_cross_section.1": "ea9521fb956a394068931e93e07e4aa5856cc47e4a91957b1ba55bb5b17a3b81",
     "gallery_tests.test_plot_custom_aggregation.TestCustomAggregation.test_plot_custom_aggregation.0": "ee816f81917e907eb03ec73f856f7ac198d070186e90811f1be33ee1a57a6e18",
-    "gallery_tests.test_plot_custom_file_loading.TestCustomFileLoading.test_plot_custom_file_loading.0": "faa1cb47845e34bc912797436cccc8343f11359b73523746c48c72d9d9b34da5",
+    "gallery_tests.test_plot_custom_file_loading.TestCustomFileLoading.test_plot_custom_file_loading.0": "fa81cb47845e34bc932797436cccc8343f11359b73523746c48c72d9d9b34da5",
     "gallery_tests.test_plot_deriving_phenomena.TestDerivingPhenomena.test_plot_deriving_phenomena.0": "ec97681793689768943c97e8926669d186e8c33f6c99c32e6b936c83d33e2c98",
-    "gallery_tests.test_plot_global_map.TestGlobalMap.test_plot_global_map.0": "fa997b958466846ed13e87467a997a898d66d17e2cc9906684696f99d3162f81",
+    "gallery_tests.test_plot_global_map.TestGlobalMap.test_plot_global_map.0": "fb997b958466846ed13e87467a997a898d66d17e2cc9906684696f99d3162e81",
     "gallery_tests.test_plot_hovmoller.TestGlobalMap.test_plot_hovmoller.0": "eeb46cb4934b934bc07e974bc14b38949943c0fe3e94c17f6ea46cb4c07b3f00",
-    "gallery_tests.test_plot_inset.TestInsetPlot.test_plot_inset.0": "ebff6992b50096ad9267dac4d64094b294924cdbc95d4b699d29952dcda46e94",
+    "gallery_tests.test_plot_inset.TestInsetPlot.test_plot_inset.0": "ebff6992b50096ad9267dac4d640949294924cdbc95d4b699d29952dcda46ed4",
     "gallery_tests.test_plot_lagged_ensemble.TestLaggedEnsemble.test_plot_lagged_ensemble.0": "bbbb31b1c44e64e4b1579b5b917133cecc61f146c414668eb1119b1bb197ce34",
     "gallery_tests.test_plot_lagged_ensemble.TestLaggedEnsemble.test_plot_lagged_ensemble.1": "aafec5e9e5e03e099a07e0f86542db879438261ec3b13ce78d8dc65a92d83d89",
     "gallery_tests.test_plot_lineplot_with_legend.TestLineplotWithLegend.test_plot_lineplot_with_legend.0": "eafd9e12a5a061e9925ec716de489e9685078ec981b229e70ddb79219cc3768d",
-    "gallery_tests.test_plot_load_nemo.TestLoadNemo.test_plot_load_nemo.0": "a3ff34e87f0049496d17c4d9c04fc225d256971392d39f1696df0f16cec00f36",
+    "gallery_tests.test_plot_load_nemo.TestLoadNemo.test_plot_load_nemo.0": "a3ff34e87f0049496d17c4d9c04fc225d256971392db9f1696df0f16cec00736",
     "gallery_tests.test_plot_orca_projection.TestOrcaProjection.test_plot_orca_projection.0": "bb11721a87cce5e4cce79e81d19b3b5e1e1cd3783168e07835853485e65e2e1e",
     "gallery_tests.test_plot_orca_projection.TestOrcaProjection.test_plot_orca_projection.1": "e58661969e799659c1f719a6c867359a1996c0773649c09c3e612679c07b3f66",
     "gallery_tests.test_plot_orca_projection.TestOrcaProjection.test_plot_orca_projection.2": "a58660ce9e739b31c93d1c89c8df33863783e23b3f11c07f2664366cc8ee3cc1",
     "gallery_tests.test_plot_orca_projection.TestOrcaProjection.test_plot_orca_projection.3": "be817a8784dea56cec79817a919e338437a5c1e73fa16c726c4a3e816a1c6b1c",
     "gallery_tests.test_plot_polar_stereo.TestPolarStereo.test_plot_polar_stereo.0": "ba1e615ec7e097ad961f9cb190f038e091c2c1e73f07c11f6f386b3cc1793e01",
     "gallery_tests.test_plot_polynomial_fit.TestPolynomialFit.test_plot_polynomial_fit.0": "aeffcb34d244348be5a2c96c3a4fc6d0c4b69f2d87294ccb9f1a125684cd7c11",
-    "gallery_tests.test_plot_projections_and_annotations.TestProjectionsAndAnnotations.test_plot_projections_and_annotations.0": "fa854f19851a30e4cc76cd0bb0f932dca7c665b1c92ccb4b4ed19e9c3721b5c8",
-    "gallery_tests.test_plot_projections_and_annotations.TestProjectionsAndAnnotations.test_plot_projections_and_annotations.1": "e3856d999c389662734331afcd2d5a7184dba492b9b69b64d26dc29974b185b2",
-    "gallery_tests.test_plot_rotated_pole_mapping.TestRotatedPoleMapping.test_plot_rotated_pole_mapping.0": "ee46607e97a19781c0df1f81d0bb3e241f20c16f3fc0c1fe39263d33d06f3e80",
+    "gallery_tests.test_plot_projections_and_annotations.TestProjectionsAndAnnotations.test_plot_projections_and_annotations.0": "fa854f19851a30e4cc76cd0bb0f932dca7c665b0c93ccb4b4ed19e9c3721b5c8",
+    "gallery_tests.test_plot_projections_and_annotations.TestProjectionsAndAnnotations.test_plot_projections_and_annotations.1": "e3856d999c389662734331afcd2d5a7184dba592b9b69b64d26dc29954b185b2",
+    "gallery_tests.test_plot_rotated_pole_mapping.TestRotatedPoleMapping.test_plot_rotated_pole_mapping.0": "ee46607e97a19781c0de1f81d0bb3e241f20c16f3fc0c1fe3d263d33d06f3e80",
     "gallery_tests.test_plot_rotated_pole_mapping.TestRotatedPoleMapping.test_plot_rotated_pole_mapping.1": "ea57685f95a886a1c0de9da090be3e2697e1c0ff3f00c17e6b266c17c07f3f00",
-    "gallery_tests.test_plot_rotated_pole_mapping.TestRotatedPoleMapping.test_plot_rotated_pole_mapping.2": "ea57685f95a886a1c0de9da090be3e2497e1c0ef3f01c17e6b366c17c07b3f01",
+    "gallery_tests.test_plot_rotated_pole_mapping.TestRotatedPoleMapping.test_plot_rotated_pole_mapping.2": "ea57685f95a886a1c0de9da090be3e2497e1c0ff3f01c17e6b366c17c07b3f00",
     "gallery_tests.test_plot_rotated_pole_mapping.TestRotatedPoleMapping.test_plot_rotated_pole_mapping.3": "fa8172c6857ecd38cb3392ce36c564311931d85ec64e9787719a39993c316e66",
     "gallery_tests.test_plot_wind_barbs.TestWindBarbs.test_wind_barbs.0": "e9e161e996169316c1fe9e96c29e36739e13c07c3d61c07f39813929c07f3f01",
-    "gallery_tests.test_plot_wind_speed.TestWindSpeed.test_plot_wind_speed.0": "e9e960e996169306c1fe9e96c29e36739e13c06c3d61c07f39a139e1c07f3f01",
-    "gallery_tests.test_plot_wind_speed.TestWindSpeed.test_plot_wind_speed.1": "e9e960e996169306c1ee9e96c29e36739653c06c3d61c07f3da139e1c07f3f01",
-    "iris.tests.experimental.test_animate.IntegrationTest.test_cube_animation.0": "fe81c17e817e3e81817e7e81857e7e817e81c07e7e81c17e7a81817e817e8c2a",
-    "iris.tests.experimental.test_animate.IntegrationTest.test_cube_animation.1": "fe81857e817e6a85817e7a81857e7e817e81957a7e81817e7a81817e817e843e",
-    "iris.tests.experimental.test_animate.IntegrationTest.test_cube_animation.2": "be81857ec17e7a81c17e7e81857e3e803e81817a3e81c17e7a81c17ec97e2c2b",
+    "gallery_tests.test_plot_wind_speed.TestWindSpeed.test_plot_wind_speed.0": "e9e960e996169306c1fe9e96c29e36739e03c06c3d61c07f3da139e1c07f3f01",
+    "gallery_tests.test_plot_wind_speed.TestWindSpeed.test_plot_wind_speed.1": "e9e960e996169306c1ee9f96c29e36739653c06c3d61c07f39a139e1c07f3f01",
+    "iris.tests.experimental.test_animate.IntegrationTest.test_cube_animation.0": "fe81c17e817e3e81817e3e81857e7a817e81c17e7e81c17e7a81817e817e8c2e",
+    "iris.tests.experimental.test_animate.IntegrationTest.test_cube_animation.1": "fe81857e817e7a85817e7a81857e7e817e81917a7e81817e7a81817e817e843e",
+    "iris.tests.experimental.test_animate.IntegrationTest.test_cube_animation.2": "be81817ec17e7a81c17e7e81857e3e803e81817a3e81c17e7a81c17ec97e2c2f",
     "iris.tests.integration.plot.test_plot_2d_coords.Test.test_2d_coord_bounds_northpolarstereo.0": "e59661969e699659c0f719a6c967339a1992c07f3649c09c3f612669c07b3f66",
-    "iris.tests.integration.plot.test_plot_2d_coords.Test.test_2d_coord_bounds_platecarree.0": "ee856299954a1da699b6915ec25b6e419729c42c3f84bd8fa7d262d1d1dac076",
+    "iris.tests.integration.plot.test_plot_2d_coords.Test.test_2d_coord_bounds_platecarree.0": "ee856299954a1da699b6915ec25b6e419729c42c3f84bd9fa6d262d1d1dac076",
     "iris.tests.integration.plot.test_plot_2d_coords.Test2dContour.test_2d_coords_contour.0": "b4b2643ecb05cb43b0f23d80c53c4e1d3e5990eb1f81c19f2f983cb1c4ff3e42",
     "iris.tests.integration.plot.test_vector_plots.TestBarbs.test_2d_plain_latlon.0": "eb036726c47c9273918e6e2c6f216336787590eb969a165890ee6c676925b3b3",
     "iris.tests.integration.plot.test_vector_plots.TestBarbs.test_2d_plain_latlon_on_polar_map.0": "e66d673c999031cd6667663398dc332c676364e798959336636660d933998666",
@@ -53,22 +53,22 @@
     "iris.tests.test_analysis.TestProject.test_cartopy_projection.0": "9e1952c9c165b4fc668a9d47c1461d7a60fb2e853eb426bd62fd229c9f04c16d",
     "iris.tests.test_mapping.TestBasic.test_contourf.0": "e97a346c9685cb899685c9c39695c79396ec634969ce2c74697a3864697b3c8c",
     "iris.tests.test_mapping.TestBasic.test_pcolor.0": "e97a347c96858b8d9685c9c39696c393966c634969ce3c64697a3864697b3c9c",
-    "iris.tests.test_mapping.TestBasic.test_unmappable.0": "ea853e48957ac1df957ac8be852bc1b1944e7a9878e03f4c6a253e6c7a912dc2",
+    "iris.tests.test_mapping.TestBasic.test_unmappable.0": "ea853e48957ac1df957ac8be852bc1b1944e7a9a78e02f4c6a253e6c7a912dc2",
     "iris.tests.test_mapping.TestBoundedCube.test_grid.0": "fa81857e857e7a81857e7a817a81817e7a81857e857e7a81857e7a817a81857e",
-    "iris.tests.test_mapping.TestBoundedCube.test_pcolormesh.0": "fa81c17a857e1ea5857e734a7a81cd257e8484da857e3b29817a68f47a81c799",
+    "iris.tests.test_mapping.TestBoundedCube.test_pcolormesh.0": "fa81c17e857e1ea1857e634a7a81cd257e8484da857e3b29817e68f47a81c799",
     "iris.tests.test_mapping.TestLimitedAreaCube.test_grid.0": "fa81857e857e7a81857e7a817a817a817a81817e7a81857e857e857e857e7a81",
     "iris.tests.test_mapping.TestLimitedAreaCube.test_outline.0": "fa81857e857e3e81857e7a857a817e817a81857a7a81817e857e857a857e7a81",
-    "iris.tests.test_mapping.TestLimitedAreaCube.test_pcolormesh.0": "ea813b49957ec4b7917e3f60266978d97a9562366e81954a914ec6cc957a0f98",
-    "iris.tests.test_mapping.TestLimitedAreaCube.test_scatter.0": "ea05bd3a91eac2d984983d346b2473477acf69ad1d3296d8c696e126c1ab1e71",
+    "iris.tests.test_mapping.TestLimitedAreaCube.test_pcolormesh.0": "ea813949957ec4b7917e3f60266978d97a9562376e81954a914ec6cc957a0f98",
+    "iris.tests.test_mapping.TestLimitedAreaCube.test_scatter.0": "ea05bd3e91eac2d984983d346b2473477acf69ad1d3296d8c696e126c1ab1a71",
     "iris.tests.test_mapping.TestLowLevel.test_keywords.0": "be21a71bc1de58e43a63a71b3e016061c1fe9b8c3e01a473847e5b94d1fb9ac3",
-    "iris.tests.test_mapping.TestLowLevel.test_keywords.1": "fa819097857e6560957e7bcc7a819c316e81951e857e62c281fe79a17aa19637",
-    "iris.tests.test_mapping.TestLowLevel.test_params.0": "fa8190be857e6739917a7bc47a8594337bb1911c857e6ec3913279007e819637",
+    "iris.tests.test_mapping.TestLowLevel.test_keywords.1": "fa819897857e6530957e7bcc7a819c316ea1951e857e62c2857e79a17a819633",
+    "iris.tests.test_mapping.TestLowLevel.test_params.0": "fa8190be857e6739913a7bc47a8594337bb1911c857e6ec3913279807e819637",
     "iris.tests.test_mapping.TestLowLevel.test_params.1": "be21a71bc1de58e43a63a71b3e016061c1fe9b8c3e01a473847e5b94d1fb9ac3",
-    "iris.tests.test_mapping.TestLowLevel.test_params.2": "fa81909f857e6520957e5bcc7a8194716e31851e857e6ac281fe3f817a81963f",
-    "iris.tests.test_mapping.TestLowLevel.test_simple.0": "faa0e558855fd9e7857a1ab16a85a51d36a1e55a854e58a5c13837096e8fe17a",
+    "iris.tests.test_mapping.TestLowLevel.test_params.2": "fa81909f857e6520957e7acc7a8194716e31851e857e6ac281fe3ba17a81963f",
+    "iris.tests.test_mapping.TestLowLevel.test_simple.0": "faa0e558855f9de7857a1ab16a85a51d36a1e55a854e58a5c13837096e8fe17a",
     "iris.tests.test_mapping.TestMappingSubRegion.test_simple.0": "b9913d90c66eca6ec66ec2f3689195aecf5b2f00392cb3496495e21da4db6c92",
-    "iris.tests.test_mapping.TestUnmappable.test_simple.0": "fa81b54a817eca35817ec701857e3e64943e7bb41b846f996e817e006ee1b19b",
-    "iris.tests.test_plot.Test1dPlotMultiArgs.test_coord.0": "8bfec2577e01b5a5ed013b4ac4521c94817d4e4d91ff63369c6d61991e3278cc",
+    "iris.tests.test_mapping.TestUnmappable.test_simple.0": "fa81b54a817eca37817ec701857e3e64943e7bb41b806f996e817e006ee1b19b",
+    "iris.tests.test_plot.Test1dPlotMultiArgs.test_coord.0": "8bfec2577e01a5a5ed013b4ac4521c94817d4e6d91ff63369c6d61991e3278cc",
     "iris.tests.test_plot.Test1dPlotMultiArgs.test_coord_coord.0": "8fff941e7e01e1c2f801c878a41e5b0d85cf36e1837e2d9992c62f21769e6a4d",
     "iris.tests.test_plot.Test1dPlotMultiArgs.test_coord_coord_map.0": "bbe0c214cd979dc3b05e4b68db0771b48698961b7962d2446e8ca5bb36716c6e",
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@@ -76,7 +76,7 @@
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     "iris.tests.test_plot.Test1dPlotMultiArgs.test_cube_cube.0": "8ff8c0567a01b296e4019d2ff10b464bd4da6391943678e5879f7e3903e63f1c",
     "iris.tests.test_plot.Test1dQuickplotPlotMultiArgs.test_coord.0": "83fec2777e002427e801bb4ae65a1c94813dcec999db4bbc9ccd79991f3238cc",
-    "iris.tests.test_plot.Test1dQuickplotPlotMultiArgs.test_coord_coord.0": "83ff9d9f7e01e1c2b001c8f8f63e1b1d81cf36e1837e258982c66f215c9a6a6c",
+    "iris.tests.test_plot.Test1dQuickplotPlotMultiArgs.test_coord_coord.0": "83ff9d9f7e01e1c2b001c8f8f63e1b1d81cf36e1837e258982ce6f215c9a626c",
     "iris.tests.test_plot.Test1dQuickplotPlotMultiArgs.test_coord_coord_map.0": "bbe0c214cd979dc3b05e4b68db0771b48698961b7962d2446e8ca5bb36716c6e",
     "iris.tests.test_plot.Test1dQuickplotPlotMultiArgs.test_coord_cube.0": "87ffb79e7f0060d8303fcd1eb007d801c52699e18d769e2199e60ce1da5629ed",
     "iris.tests.test_plot.Test1dQuickplotPlotMultiArgs.test_cube.0": "a3ffc1de7e009c7030019786f438cde3810fd93c9b734a778ce47c9799b02731",
@@ -94,63 +94,63 @@
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     "iris.tests.test_plot.Test2dPoints.test_circular_changes.0": "fa81c57a857e93bd9b193e436ec4ccb03b01c14a857e3e34911f3b816e81c57b",
     "iris.tests.test_plot.TestAttributePositive.test_1d_positive_down.0": "a7fe781b708487c360079e3bb4789869816bdb64c76b4a3cce7b4e749a6130c5",
-    "iris.tests.test_plot.TestAttributePositive.test_1d_positive_up.0": "a7ff958b7a00b09c661761c9907fcb0d9163ce7895289a618f381bffccf97200",
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     "iris.tests.test_plot.TestAttributePositive.test_2d_positive_down.0": "fb966ba6846194dbd01f3665c0e4399a3f1bc2653f90c99e2f613e64c01e3f81",
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     "iris.tests.test_plot.TestPlot.test_y.0": "aff8946c7a14c99fb193d263e42432d8d00c2d27944a3f8dc5223ef703ff6b90",
@@ -159,26 +159,26 @@
     "iris.tests.test_plot.TestPlotCitation.test_axes.0": "abf895467a1d9506f811783485437abd85427ab995067ab9f00687f96afe87c8",
     "iris.tests.test_plot.TestPlotCitation.test_figure.0": "abf895467a1d9506f811783485437abd85427ab995067ab9f00687f96afe87c8",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_non_cube_coordinate.0": "fa81857e857e3e85857e7a81857e7a81857e7a817e81780b7a81c56a7a81857e",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_tx.0": "ea853f10956ac1e3957a854e957a203e955e6aa76ae17aa16a856aaf6ab19e12",
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-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_tx.3": "aff24ab7fd05952dbd0f950f910fcd48c47868f3e1b9329094266e345a850f6c",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_tx.3": "aff24ab7fd05952dbd0f950f910fed48c47868f2e1b9329094266e345a850f6c",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_tx.4": "eaa9b5699556854e9456854ed05625f9d0a92bfdc0a90afd81f97e00855e7ab6",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_tx.5": "eaf73e0d9503852c950395ac9528c1fad06cc0f2d1ec6af2c0fc6a536a1797f3",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_x.0": "afea950ddb13c03e34359ad8a4c86f24913f2693807e3ff1f4087b4285fd28f2",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_y.0": "afee9632de05c9d9f180d168c454a53e931b3e84956a3b8c85d94ce703ff7284",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.0": "ea853f00957ac07c957ac0be951a69f3c47c7a5f3a6127816b953e646b813761",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_x.0": "afea950ddb13c03e34359ad8a4c86f24913f2693806e3ff1f4087b4285fd2af2",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_y.0": "afee9632de05c9d9f180d168c454a53e931b3e84954a3b8c85f94ce703ff7284",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.0": "ea853f00957ac07c957ac0bf951a69f3c47c7a5f3a4127816b953e646b813761",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.1": "e97a346c9685cb899685c9c39695c79396ec634969ce2c74697a3864697b3c8c",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.2": "ebfeca44f102b3649c309c9b940d19add1bb63b3a7843e4acc5a6aa56acc6b64",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.3": "e85a6b6c86a595a791c9349b94b73b69c7926b5bccca66646b3869b031a52ca6",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.4": "ea153e0395aac1f895eac0f8940e69e56a743e5f7a432787691ef860c3c1938f",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.2": "ebffca44f102b3609c309c9b940d19add1bb63b3a7843e4acc5a6aa56acc6b64",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.3": "e85a6b6c86a595a791c9349b94b63b69c7926b5bccca66646b3869b831a52ca6",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.4": "ea153e0395aac0f895eac1f8941e69e56a743e5d7a432787691ef860c3c1938f",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_yx.5": "e96930749696cb9d9697cdc39692671b696c306969eb3c76697319942a0d8699",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.0": "be813ea0c17ec55ac17ed23dc07e295ac57e3b653f803f813e816e853e81b542",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.1": "ea85856e857e4893957a7aa1956a7b81954b3b817a856fd46a85846e6e85857e",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.0": "be813ea0c17ec55ac17ed23dc07e295ac57e2b653f803f813e816e853e85b542",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.1": "ea85856e857e4893957a7aa1956a7b81954b3b817a856fd46a85847c6e85857e",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.2": "cbedcd25bc02a4929c103a5bf03fdbbc81cb364d84e46da70f86899b3a0f6ec1",
     "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.3": "aee1793a6b168569b852d697913c622cc5ca2e4b952d3bb4c2b66bd1426b3c71",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.4": "bec13a81c13ec56ac13e5afdd11e256a3e412afd3e4002ff2ee0fe0035fa817a",
-    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.5": "ea1595ec95ea681d95ea7b0595ab3b13950d7a536a1cc6f26a0cc4f26e0c85f2",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.4": "bec13a81c13ec54ac13e5afdd11e256a3e412afd3e4002ff2ee0fe0035fa817e",
+    "iris.tests.test_plot.TestPlotCoordinatesGiven.test_zx.5": "ea1594ec95ea6c1d95ea7b0595ab3b13950f6a536a1cc6f26a0cc4f26e0c85f2",
     "iris.tests.test_plot.TestPlotDimAndAuxCoordsKwarg.test_coord_names.0": "b87830b0c786cf269ec766c99399cce998d3b3166f2530d3658c692d30ec6735",
     "iris.tests.test_plot.TestPlotDimAndAuxCoordsKwarg.test_coord_names.1": "b8a53b59c71ac5a6b8791c1867876b63d9e0e65c96199d871cc23339633664ce",
     "iris.tests.test_plot.TestPlotDimAndAuxCoordsKwarg.test_coords.0": "b87830b0c786cf269ec766c99399cce998d3b3166f2530d3658c692d30ec6735",
@@ -192,33 +192,33 @@
     "iris.tests.test_plot.TestQuickplotPlot.test_x.0": "82ff950b7f81c0d6620199bcfc5e986695734da1816e1b2c85be2b65d96276d1",
     "iris.tests.test_plot.TestQuickplotPlot.test_y.0": "a2fbb46e7f10c99f2013d863e46498dcd06c0d2798421fa5dd221e7789ff6f10",
     "iris.tests.test_plot.TestQuickplotPlot.test_z.0": "a3ffc1de7e009c7030019786f438cde3810fd93c9b734a778ce47c9799b02731",
-    "iris.tests.test_plot.TestSimple.test_bounds.0": "ea856a85954a957ac17e954ac17a9c3e956ac07e3e80c07f3e857aa5c27d3f80",
-    "iris.tests.test_plot.TestSimple.test_points.0": "fa856a85957a957ac17e954ac17e1ca2950bc07e3e80c07f3e807a85c1ff3f81",
+    "iris.tests.test_plot.TestSimple.test_bounds.0": "ea856a85954a957ac17e954ac17a9d3a956ac07e3e80c07f3e857aa5c27d3f80",
+    "iris.tests.test_plot.TestSimple.test_points.0": "ea856a85957a957ac17e954ac17e1ea2950bc07e3e80c07f3e807a85c1ff3f81",
     "iris.tests.test_plot.TestSymbols.test_cloud_cover.0": "eb5291e494ad6e136b5291ec94ad6e136b5291ec94ad6e136b5291ec94ad6e13",
     "iris.tests.test_quickplot.TestLabels.test_alignment.0": "be813fe0954ac07fc0ff3e81c03fc97a6d0094af3f80c17f36a53240d97f2d82",
     "iris.tests.test_quickplot.TestLabels.test_contour.0": "a7fd955a7a016d1a3217c962e4819a56c96f3c859b624d2584de3a6999b662db",
-    "iris.tests.test_quickplot.TestLabels.test_contour.1": "bf802f81c17fc17fc07eb42ac07f3f929130c07e3f81c07f7aa02e85c07f3e81",
+    "iris.tests.test_quickplot.TestLabels.test_contour.1": "bf802f85c17fc17fc07eb42ac17f3f929130c06e3f80c07f7aa02e85c07f3e81",
     "iris.tests.test_quickplot.TestLabels.test_contourf.0": "be816a95957a957ac0fe1e8bc07f7f806e01c07f3f80c07f3fa23f00c07f3d00",
-    "iris.tests.test_quickplot.TestLabels.test_contourf.1": "bf802f81c17fc17fc07eb42ac07f3f929130c07e3f81c07f7aa02e85c07f3e81",
+    "iris.tests.test_quickplot.TestLabels.test_contourf.1": "bf802f85c17fc17fc07eb42ac17f3f929130c06e3f80c07f7aa02e85c07f3e81",
     "iris.tests.test_quickplot.TestLabels.test_contourf.2": "be816a95907ae508c17e955ac07f3fa0945bc07f3f80c07f3aa36f01c0ff3f80",
-    "iris.tests.test_quickplot.TestLabels.test_contourf_nameless.0": "be816af5907ee508c17e955ac03f3f809499c07f3f80c07f3a836f81c0ff3f80",
+    "iris.tests.test_quickplot.TestLabels.test_contourf_nameless.0": "be816af5907ee508c17e955ac03f3f809419c07f3f80c07f3a8b6f81c0ff3f80",
     "iris.tests.test_quickplot.TestLabels.test_map.0": "e85a634c86a597a793c9349b94b79969c396c95bcce69a64d938c9b039a58ca6",
     "iris.tests.test_quickplot.TestLabels.test_map.1": "e85a636c86a597a793c9349b94b69969c396c95bcce69a64d938c9b039a58ca6",
     "iris.tests.test_quickplot.TestLabels.test_pcolor.0": "eea16affc05ab500956e974ac53f3d80925ac03f2f81c07e3fa12da1c2fe3f80",
     "iris.tests.test_quickplot.TestLabels.test_pcolormesh.0": "eea16affc05ab500956e974ac53f3d80925ac03f2f81c07e3fa12da1c2fe3f80",
     "iris.tests.test_quickplot.TestLabels.test_pcolormesh_str_symbol.0": "eea16affc05ab500956e974ac53f3d80925ac03f3f80c07e3fa12d21c2ff3f80",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_non_cube_coordinate.0": "fe816a85857a957ac07f957ac07f3e80956ac07f3e80c07f3e813e85c07e3f80",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.0": "ea856a95955a956ac17f950a807e3f4c951ac07e3f81c0ff3ea16aa1c0bd3f81",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.1": "fa856a85957a957ac17e954ac17e1ca2950bc07e3e80c07f3e807a85c1ff3f81",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.2": "eafdeec9f729943032168d66d4cb896e9567497b81304aedc96514ad8d18669a",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.0": "ea856a95955a956ac17f950a807e3f4e951ac07e3f81c0ff3ea16aa1c0bd3e81",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.1": "ea856a85957a957ac17e954ac17e1ea2950bc07e3e80c07f3e807a85c1ff3f81",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.2": "eaf9eec9f729943032168d66d4db896e9567497b81304aedc96514ad8d18669a",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.3": "a6fb4b967f00950eb00f9d0f900fcd62dc7868f2c1bb3a909c266e34daa52f6c",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.4": "eaa9b549f756854ea0168d6ed556896dd8e909ed88290afdd9e97e008d6e2296",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.5": "aad73e0df78085ac840395ac9428d9fad56cd8f2906c48f2d0ec7a536a1737f3",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.4": "eaa9b549f756854ea0168d6ed556896fd8a909ed88290afdd9e97e008d6e2296",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_tx.5": "aad73e0df78085ac840195ac9528d9fad56cd8f2906c48f2d0ec7a536a1737f3",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_x.0": "a6fb958dff50c03e203598dca4c9cd26933f9cf3886e1de1dc047b4289ec2672",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_y.0": "a2ffb6127f0dc9993085d960c6748d3e9b121ca49d6a1b048df34ce789ff7205",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.0": "ea856a95957a957ac07e954ac17e3e87950bc07f3ea4c27d3e833ac1c1e03f80",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_y.0": "a2ffb6127f0dc9992085d960c6748d3edb121ca49d6a1b048df34ce789ff7205",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.0": "ea856a95957a957ac07e954ac17e3e86950bc17f3ea4c27d3e833ac1c1e03f80",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.1": "e5a761a79a589e58c07d1e48c07c3f819e41c07f3d84c17e3fa62585c0fe3f83",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.2": "aaffead4f7cab16490109c9b946d99add1b34bb385a41c4acd526a254acc6365",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.2": "aaffead4f7cab16490109c9b946d99add1b74bb385a41c4acd526a254acc6325",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.3": "e85a634c86a597a793c9349b94b79969c396c95bcce69a64d938c9b039a58ca6",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.4": "ea153f0395eac1f895eac9fa941c79e56a741e4f68430f876916f860c9c1938d",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_yx.5": "e96930749696cf9d9697cdc39692670b696c386969eb3866696399a41a0d8e99",
@@ -226,8 +226,8 @@
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.1": "fa816a85957a957ac03f957ac07f3ba1954ac07e3e81c07f3ea47a85c07e3e80",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.2": "a3eded04ff11a492b000985af07fdbb4d1eb366d8c644da79fa68993180f6e81",
     "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.3": "aef9793a770085e9205fd696d03ccb2485ca1e43952f1934daa66bd1ca6b3c71",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.4": "bec13e81c5bec55ac03dd896d17e8d6a1e410af7380008ff1de6fe0099ea237b",
-    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.5": "ea1595ac95e8689d95fb7b0595291963916f3b73487fccf2680484f2486ec6f0",
-    "iris.tests.test_quickplot.TestTimeReferenceUnitsLabels.test_not_reference_time_units.0": "82f8a19e7f51888c6001dda6855fd9a2dd7f986281ee19f389ff03ffdc007e00",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.4": "bec13e81c5bec55ac03dd8b4d17a8d6a1e4108f7384008ff1de6fe0099ee237b",
+    "iris.tests.test_quickplot.TestQuickplotCoordinatesGiven.test_zx.5": "ea1595ac95e8689d95fb7b0595291943916f3b73487fccf2680484f2486ec7f0",
+    "iris.tests.test_quickplot.TestTimeReferenceUnitsLabels.test_not_reference_time_units.0": "82f8a19e7f51888c6001dda6855fd9e2dd7f986281ee19f389ef03ffdc007e00",
     "iris.tests.test_quickplot.TestTimeReferenceUnitsLabels.test_reference_time_units.0": "82fa80997f547799a0037a00d52f0956ddaf9f7e98a1816e09f5d8260bfffe00"
 }
\ No newline at end of file
diff --git a/requirements/ci/nox.lock/py38-linux-64.lock b/requirements/ci/nox.lock/py38-linux-64.lock
index 52500e1966..286b37f23a 100644
--- a/requirements/ci/nox.lock/py38-linux-64.lock
+++ b/requirements/ci/nox.lock/py38-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: e8c72613e1b6a6c446856d7d11fc97571678e85f18691bed5be685cf1437b728
+# input_hash: 1cd97f6f80cce9e7fa719a886fb090579568d5909bfcac6cb42a820ad562dad3
 @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-2022.6.15-ha878542_0.tar.bz2#c320890f77fd1d617fa876e0982002c2
@@ -34,7 +34,7 @@ https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz
 https://conda.anaconda.org/conda-forge/linux-64/lerc-3.0-h9c3ff4c_0.tar.bz2#7fcefde484980d23f0ec24c11e314d2e
 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/libdb-6.2.32-h9c3ff4c_0.tar.bz2#3f3258d8f841fbac63b36b75bdac1afd
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.10-h7f98852_0.tar.bz2#ffa3a757a97e851293909b49f49f28fb
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.12-h166bdaf_0.tar.bz2#d56e3db8fa642fb383f18f5be35eeef2
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-h516909a_1.tar.bz2#6f8720dff19e17ce5d48cfe7f3d2f0a3
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2#d645c6d2ac96843a2bfaccd2d62b3ac3
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.16-h516909a_0.tar.bz2#5c0f338a513a2943c659ae619fca9211
@@ -52,7 +52,7 @@ https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.3-h9c3ff4c_1.tar.bz2#f
 https://conda.anaconda.org/conda-forge/linux-64/mpich-4.0.2-h846660c_100.tar.bz2#36a36fe04b932d4b327e7e81c5c43696
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.3-h27087fc_1.tar.bz2#4acfc691e64342b9dae57cf2adc63238
 https://conda.anaconda.org/conda-forge/linux-64/nspr-4.32-h9c3ff4c_1.tar.bz2#29ded371806431b0499aaee146abfc3e
-https://conda.anaconda.org/conda-forge/linux-64/openssl-1.1.1o-h166bdaf_0.tar.bz2#6172048796b123e542945d998f5150b7
+https://conda.anaconda.org/conda-forge/linux-64/openssl-1.1.1p-h166bdaf_0.tar.bz2#995e819f901ee0c4411e4f50d9b31a82
 https://conda.anaconda.org/conda-forge/linux-64/pcre-8.45-h9c3ff4c_0.tar.bz2#c05d1820a6d34ff07aaaab7a9b7eddaa
 https://conda.anaconda.org/conda-forge/linux-64/pixman-0.40.0-h36c2ea0_0.tar.bz2#660e72c82f2e75a6b3fe6a6e75c79f19
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2#22dad4df6e8630e8dff2428f6f6a7036
@@ -95,7 +95,7 @@ https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-15_linux64_openb
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.47.0-h727a467_0.tar.bz2#a22567abfea169ff8048506b1ca9b230
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.37-h21135ba_2.tar.bz2#b6acf807307d033d4b7e758b4f44b036
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.10.0-ha56f1ee_2.tar.bz2#6ab4eaa11ff01801cffca0a27489dc04
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.3.0-h0fcbabc_4.tar.bz2#2cdb3944029c2cb99cbe981b182a2e9a
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.4.0-hc85c160_1.tar.bz2#151f9fae3ab50f039c8735e47770aa2d
 https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.9.14-h22db469_0.tar.bz2#7d623237b73d93dd856b5dd0f5fedd6b
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.8.0-h4de3113_1.tar.bz2#175a746a43d42c053b91aa765fbc197d
 https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.0.29-h28c427c_1.tar.bz2#36dbdbf505b131c7e79a3857f3537185
@@ -112,6 +112,7 @@ https://conda.anaconda.org/conda-forge/linux-64/freetype-2.10.4-h0708190_1.tar.b
 https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.8-hff1cb4f_0.tar.bz2#908fc30f89e27817d835b45f865536d7
 https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.70.2-h780b84a_4.tar.bz2#c66c6df8ef582a3b78702201b1eb8e94
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h64030ff_2.tar.bz2#112eb9b5b93f0c02e59aea4fd1967363
+https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.12-hddcbb42_0.tar.bz2#797117394a4aa588de6d741b06fad80f
 https://conda.anaconda.org/conda-forge/linux-64/libclang-14.0.5-default_h2e3cab8_0.tar.bz2#8b1cd508fcf54a5c8c5766c549272b6e
 https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-hf5a7f15_1.tar.bz2#005557d6df00af70e438bcd532ce2304
 https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.83.1-h7bff187_0.tar.bz2#d0c278476dba3b29ee13203784672ab1
@@ -120,6 +121,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.0.31-h9c3ff4c_1.tar
 https://conda.anaconda.org/conda-forge/linux-64/libwebp-1.2.2-h3452ae3_0.tar.bz2#c363665b4aabe56aae4f8981cff5b153
 https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.0.3-he3ba5ed_0.tar.bz2#f9dbabc7e01c459ed7a1d1d64b206e9b
 https://conda.anaconda.org/conda-forge/linux-64/nss-3.78-h2350873_0.tar.bz2#ab3df39f96742e6f1a9878b09274c1dc
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.4.0-hb52868f_1.tar.bz2#b7ad78ad2e9ee155f59e6428406ee824
 https://conda.anaconda.org/conda-forge/linux-64/python-3.8.13-h582c2e5_0_cpython.tar.bz2#8ec74710472994e2411a8020fa8589ce
 https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-h166bdaf_0.tar.bz2#c9b568bd804cb2903c6be6f5f68182e4
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h7f98852_1.tar.bz2#536cc5db4d0a3ba0630541aec064b5e4
@@ -146,9 +148,8 @@ https://conda.anaconda.org/conda-forge/noarch/iris-sample-data-2.4.0-pyhd8ed1ab_
 https://conda.anaconda.org/conda-forge/linux-64/jack-1.9.18-h8c3723f_1002.tar.bz2#7b3f287fcb7683f67b3d953b79f412ea
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/olefile-0.46-pyh9f0ad1d_1.tar.bz2#0b2e68acc8c78c8cc392b90983481f58
 https://conda.anaconda.org/conda-forge/noarch/platformdirs-2.5.1-pyhd8ed1ab_0.tar.bz2#d5df87964a39f67c46a5448f4e78d9b6
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.0.0-h93bde94_1.tar.bz2#cf908994f24ea526afc59f295d5b07c1
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.0.1-h93bde94_0.tar.bz2#42d593cd1b23a43d7ac7edd9a2e84fa9
 https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyh6c4a22f_0.tar.bz2#b4613d7e7a493916d867842a6a148054
 https://conda.anaconda.org/conda-forge/noarch/pycparser-2.21-pyhd8ed1ab_0.tar.bz2#076becd9e05608f8dc72757d5f3a91ff
 https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.0.9-pyhd8ed1ab_0.tar.bz2#e8fbc1b54b25f4b08281467bc13b70cc
@@ -183,10 +184,10 @@ https://conda.anaconda.org/conda-forge/linux-64/libgd-2.3.3-h18fbbfe_3.tar.bz2#e
 https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.8.1-mpi_mpich_hcdf9059_2.tar.bz2#7c035ca8a06010c4d9730c428d1a5969
 https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.1-py38h0a891b7_1.tar.bz2#20d003ad5f584e212c299f64cac46c05
 https://conda.anaconda.org/conda-forge/linux-64/mpi4py-3.1.3-py38h97ac3a3_1.tar.bz2#7a65afac627e81e2d4c1fef44409dbf5
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.22.4-py38h99721a1_0.tar.bz2#fc4f99d9d9296861d09d487c7c32069f
+https://conda.anaconda.org/conda-forge/linux-64/numpy-1.23.0-py38h3a7f9d9_0.tar.bz2#bde7c584b811ef5aec0dd2204e502334
 https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2#71f1ab2de48613876becddd496371c85
 https://conda.anaconda.org/conda-forge/noarch/partd-1.2.0-pyhd8ed1ab_0.tar.bz2#0c32f563d7f22e3a34c95cad8cc95651
-https://conda.anaconda.org/conda-forge/linux-64/pillow-6.2.1-py38hd70f55b_1.tar.bz2#80d719bee2b77a106b199150c0829107
+https://conda.anaconda.org/conda-forge/linux-64/pillow-9.1.1-py38h0ee0e06_1.tar.bz2#cd653a4a951ca80adb96ff6cd3b36883
 https://conda.anaconda.org/conda-forge/linux-64/pluggy-1.0.0-py38h578d9bd_3.tar.bz2#6ce4ce3d4490a56eb33b52c179609193
 https://conda.anaconda.org/conda-forge/noarch/pockets-0.9.1-py_0.tar.bz2#1b52f0c42e8077e5a33e00fe72269364
 https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.1-py38h0a891b7_0.tar.bz2#e3908bd184030e7f4a3d837959ebf6d7
@@ -195,7 +196,7 @@ https://conda.anaconda.org/conda-forge/linux-64/pysocks-1.7.1-py38h578d9bd_5.tar
 https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2#dd999d1cc9f79e67dbb855c8924c7984
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.0.0-py38h0a891b7_1.tar.bz2#69fc64e4f4c13abe0b8df699ddaa1051
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0-py38h0a891b7_4.tar.bz2#ba24ff01bb38c5cd5be54b45ef685db3
-https://conda.anaconda.org/conda-forge/linux-64/setuptools-62.3.4-py38h578d9bd_0.tar.bz2#c58b7548636be9acefa9ba579e5590a4
+https://conda.anaconda.org/conda-forge/linux-64/setuptools-62.6.0-py38h578d9bd_0.tar.bz2#4dbffb6d975f26cd71fb27aa20fc4761
 https://conda.anaconda.org/conda-forge/linux-64/tornado-6.1-py38h0a891b7_3.tar.bz2#d9e2836a4a46935f84b858462d54a7c3
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-14.0.0-py38h0a891b7_1.tar.bz2#83df0e9e3faffc295f12607438691465
 https://conda.anaconda.org/conda-forge/linux-64/virtualenv-20.14.1-py38h578d9bd_0.tar.bz2#41427ff3fd8d35e5ab1cdcec4d94ea6b
@@ -210,10 +211,10 @@ https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2#
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.2.0-py38h71d37f0_1007.tar.bz2#c8d3d8f137f8af7b1daca318131223b1
 https://conda.anaconda.org/conda-forge/linux-64/netcdf-fortran-4.5.4-mpi_mpich_h1364a43_0.tar.bz2#b6ba4f487ef9fd5d353ff277df06d133
 https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.6.0-pyhd8ed1ab_0.tar.bz2#0941325bf48969e2b3b19d0951740950
-https://conda.anaconda.org/conda-forge/linux-64/pandas-1.4.2-py38h47df419_2.tar.bz2#64cca81aa93bbf0a5ab3c6d5d956b976
+https://conda.anaconda.org/conda-forge/linux-64/pandas-1.4.3-py38h47df419_0.tar.bz2#91c5ac3f8f0e55a946be7b9ce489abfe
 https://conda.anaconda.org/conda-forge/noarch/pip-22.1.2-pyhd8ed1ab_0.tar.bz2#d29185c662a424f8bea1103270b85c96
 https://conda.anaconda.org/conda-forge/noarch/pygments-2.12.0-pyhd8ed1ab_0.tar.bz2#cb27e2ded147e5bcc7eafc1c6d343cb3
-https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.3.1-py38h5b5ac8f_0.tar.bz2#5d91e0c583547eb69345c3acf4d753ee
+https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.3.1-py38he1635e7_1.tar.bz2#3907607e23c3e18202960fc4217baa0a
 https://conda.anaconda.org/conda-forge/linux-64/pytest-7.1.2-py38h578d9bd_0.tar.bz2#626d2b8f96c8c3d20198e6bd84d1cfb7
 https://conda.anaconda.org/conda-forge/linux-64/python-stratify-0.2.post0-py38h71d37f0_2.tar.bz2#cdef2f7b0e263e338016da4b77ae4c0b
 https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.3.0-py38h71d37f0_1.tar.bz2#704f1776af689de568514b0ff9dd0fbe
@@ -233,7 +234,7 @@ https://conda.anaconda.org/conda-forge/noarch/pyopenssl-22.0.0-pyhd8ed1ab_0.tar.
 https://conda.anaconda.org/conda-forge/linux-64/pyqt5-sip-12.9.0-py38hfa26641_1.tar.bz2#40f4eeb2cb0f0ab25d0640f5f7a34de8
 https://conda.anaconda.org/conda-forge/noarch/pytest-forked-1.4.0-pyhd8ed1ab_0.tar.bz2#95286e05a617de9ebfe3246cecbfb72f
 https://conda.anaconda.org/conda-forge/linux-64/qt-main-5.15.4-ha5833f6_2.tar.bz2#dd3aa6715b9e9efaf842febf18ce4261
-https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.20.2-py38h90a48c0_5.tar.bz2#8d4a94a9c0dec7e5edeff344cbfe4c38
+https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.20.2-py38hb3c56ba_6.tar.bz2#9ec1f7a5fe50f16f5103845db2ebd6d8
 https://conda.anaconda.org/conda-forge/linux-64/esmpy-8.2.0-mpi_mpich_py38h9147699_101.tar.bz2#5a9de1dec507b6614150a77d1aabf257
 https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h90689f9_2.tar.bz2#957a0255ab58aaf394a91725d73ab422
 https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.54.3-h7abd40a_0.tar.bz2#02b82b1dc4e876242900dcaff109e697
diff --git a/requirements/ci/py38.yml b/requirements/ci/py38.yml
index b79d4638f3..6f782a831d 100644
--- a/requirements/ci/py38.yml
+++ b/requirements/ci/py38.yml
@@ -34,7 +34,6 @@ dependencies:
 # Test dependencies.
   - filelock
   - imagehash >=4.0
-  - pillow <7
   - pre-commit
   - psutil
   - pytest