diff --git a/.circleci/config.yml b/.circleci/config.yml
index 9ccc0a09c2..d42e6ada13 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -166,7 +166,7 @@ jobs:
             mkdir /logs
             # conda update -y conda > /logs/conda.txt 2>&1
             # Create and activate conda environment
-            mamba create -y --name esmvaltool 'python=3.10'
+            mamba create -y --name esmvaltool 'python=3.11'
             set +x; conda activate esmvaltool; set -x
             # Install
             mamba install -y esmvalcore
diff --git a/.github/workflows/build-and-deploy-on-pypi.yml b/.github/workflows/build-and-deploy-on-pypi.yml
index c2ac36b5b5..449d86b3e4 100644
--- a/.github/workflows/build-and-deploy-on-pypi.yml
+++ b/.github/workflows/build-and-deploy-on-pypi.yml
@@ -16,10 +16,10 @@ jobs:
       - uses: actions/checkout@v3
         with:
           fetch-depth: 0
-      - name: Set up Python 3.10
+      - name: Set up Python 3.11
         uses: actions/setup-python@v1
         with:
-          python-version: "3.10"
+          python-version: "3.11"
       - name: Install pep517
         run: >-
           python -m
diff --git a/.github/workflows/create-condalock-file.yml b/.github/workflows/create-condalock-file.yml
index 1f932e592b..5d71fb9d29 100644
--- a/.github/workflows/create-condalock-file.yml
+++ b/.github/workflows/create-condalock-file.yml
@@ -21,13 +21,15 @@ jobs:
       - uses: conda-incubator/setup-miniconda@v2
         with:
           auto-update-conda: true
-          python-version: "3.10"
-          miniconda-version: "latest"
           activate-environment: esmvaltool-fromlock
-          channels: conda-forge
+          python-version: "3.11"
+          miniforge-version: "latest"
+          miniforge-variant: Mambaforge
+          use-mamba: true
       - name: Show conda config
         shell: bash -l {0}
         run: |
+          conda update -n base -c conda-forge conda
           conda info
           conda list
           conda config --show-sources
@@ -39,7 +41,10 @@ jobs:
           python --version
       - name: Install conda-lock
         shell: bash -l {0}
-        run: conda install -y conda-lock
+        run: mamba install -y conda-lock
+      - name: Check version of conda-lock
+        shell: bash -l {0}
+        run: conda-lock --version
       - name: Create conda lock file for linux-64
         shell: bash -l {0}
         run: conda-lock lock --platform linux-64 -f environment.yml --mamba --kind explicit
@@ -48,7 +53,7 @@ jobs:
         run: conda create --name esmvaltool-fromlock --file conda-linux-64.lock
       - name: Installing pip
         shell: bash -l {0}
-        run: conda install pip
+        run: mamba install -y pip
       - name: Gather pip info
         shell: bash -l {0}
         run: pip --version
@@ -57,6 +62,9 @@ jobs:
         run: |
           which python
           python --version
+      - name: Show environment contents
+        shell: bash -l {0}
+        run: conda list
       - shell: bash -l {0}
         run: pip install -e .[develop]
       - shell: bash -l {0}
diff --git a/.github/workflows/install-from-conda.yml b/.github/workflows/install-from-conda.yml
index c244ace674..c8748df1b1 100644
--- a/.github/workflows/install-from-conda.yml
+++ b/.github/workflows/install-from-conda.yml
@@ -34,6 +34,7 @@ jobs:
     runs-on: "ubuntu-latest"
     strategy:
       matrix:
+        # TODO add "3.11" once we have the package built
         python-version: ["3.8", "3.9", "3.10"]
       # fail-fast set to False allows all other tests
       # in the worflow to run regardless of any fail
diff --git a/.github/workflows/install-from-condalock-file.yml b/.github/workflows/install-from-condalock-file.yml
index d4579f8537..91a4281787 100644
--- a/.github/workflows/install-from-condalock-file.yml
+++ b/.github/workflows/install-from-condalock-file.yml
@@ -24,7 +24,7 @@ jobs:
     runs-on: "ubuntu-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: Linux Python ${{ matrix.python-version }}
     steps:
diff --git a/.github/workflows/install-from-pypi.yml b/.github/workflows/install-from-pypi.yml
index 327dc3caa4..a6c51d9e29 100644
--- a/.github/workflows/install-from-pypi.yml
+++ b/.github/workflows/install-from-pypi.yml
@@ -34,6 +34,7 @@ jobs:
     runs-on: "ubuntu-latest"
     strategy:
       matrix:
+        # TODO add "3.11" once we have the package built
         python-version: ["3.8", "3.9", "3.10"]
       # fail-fast set to False allows all other tests
       # in the workflow to run regardless of any fail
diff --git a/.github/workflows/install-from-source.yml b/.github/workflows/install-from-source.yml
index db838b2225..98fd6b6ec3 100644
--- a/.github/workflows/install-from-source.yml
+++ b/.github/workflows/install-from-source.yml
@@ -32,7 +32,7 @@ jobs:
     runs-on: "ubuntu-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: Linux Python ${{ matrix.python-version }}
     steps:
@@ -73,7 +73,7 @@ jobs:
     runs-on: "macos-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: OSX Python ${{ matrix.python-version }}
     steps:
diff --git a/.github/workflows/run-tests-monitor.yml b/.github/workflows/run-tests-monitor.yml
index b0abaf15d6..c49dd61ffa 100644
--- a/.github/workflows/run-tests-monitor.yml
+++ b/.github/workflows/run-tests-monitor.yml
@@ -17,7 +17,7 @@ jobs:
     runs-on: "ubuntu-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: Linux Python ${{ matrix.python-version }}
     steps:
@@ -57,7 +57,7 @@ jobs:
     runs-on: "macos-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: OSX Python ${{ matrix.python-version }}
     steps:
diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml
index f5e757900d..84801e3464 100644
--- a/.github/workflows/run-tests.yml
+++ b/.github/workflows/run-tests.yml
@@ -34,7 +34,7 @@ jobs:
     runs-on: "ubuntu-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: Linux Python ${{ matrix.python-version }}
     steps:
@@ -72,7 +72,7 @@ jobs:
     runs-on: "macos-latest"
     strategy:
       matrix:
-        python-version: ["3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
       fail-fast: false
     name: OSX Python ${{ matrix.python-version }}
     steps:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index e0e7d07a77..31f3d57a81 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -8,7 +8,7 @@ exclude: |
   ^esmvalcore/preprocessor/ne_masks/
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.3.0
+    rev: v4.4.0
     hooks:
       - id: check-added-large-files
       - id: check-ast
@@ -19,15 +19,15 @@ repos:
       - id: trailing-whitespace
         args: [--markdown-linebreak-ext=md]
   - repo: https://github.com/adrienverge/yamllint
-    rev: 'v1.28.0'
+    rev: 'v1.31.0'
     hooks:
       - id: yamllint
   - repo: https://github.com/codespell-project/codespell
-    rev: 'v2.2.2'
+    rev: 'v2.2.4'
     hooks:
       - id: codespell
   - repo: https://github.com/PyCQA/isort
-    rev: '5.10.1'
+    rev: '5.12.0'
     hooks:
       - id: isort
   - repo: https://github.com/pre-commit/mirrors-yapf
@@ -37,15 +37,15 @@ repos:
         additional_dependencies:
           - 'toml'
   - repo: https://github.com/myint/docformatter
-    rev: 'v1.5.0'
+    rev: 'v1.6.5'
     hooks:
       - id: docformatter
   - repo: https://github.com/pycqa/flake8
-    rev: '5.0.4'
+    rev: '6.0.0'
     hooks:
       - id: flake8
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: 'v0.991'
+    rev: 'v1.2.0'
     hooks:
       - id: mypy
         additional_dependencies:
diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index 50ee5a7322..f7891e30b2 100644
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -12,7 +12,7 @@ build:
     python: "mambaforge-4.10"
   jobs:
     post_create_environment:
-      - pip install . --no-deps
+      - conda run -n ${CONDA_DEFAULT_ENV} pip install . --no-deps
 
 # Declare the requirements required to build your docs
 conda:
diff --git a/conda-linux-64.lock b/conda-linux-64.lock
index 4f22c11722..f5d65d84ac 100644
--- a/conda-linux-64.lock
+++ b/conda-linux-64.lock
@@ -1,9 +1,9 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 1b2ff48f7d6c4f912256b2ebcec62f3d36f9ffeb01aac78459883e0742eb58c0
+# input_hash: a129f6503ab0709f6a6d72bb9ec4a539c6fbb437842ba32fbed8b7f43f1ebc61
 @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-2022.12.7-ha878542_0.conda#ff9f73d45c4a07d6f424495288a26080
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2023.5.7-hbcca054_0.conda#f5c65075fc34438d5b456c7f3f5ab695
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2#0c96522c6bdaed4b1566d11387caaf45
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2#34893075a5c9e55cdafac56607368fc6
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2#4d59c254e01d9cde7957100457e2d5fb
@@ -14,9 +14,8 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcc-devel_linux-64-11.3.0-h21
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-12.2.0-h337968e_19.tar.bz2#164b4b1acaedc47ee7e658ae6b308ca3
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-devel_linux-64-11.3.0-h210ce93_19.tar.bz2#8aee006c0662f551f3acef9a7077a5b9
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-12.2.0-h46fd767_19.tar.bz2#1030b1f38c129f2634eae026f704fe60
-https://conda.anaconda.org/conda-forge/linux-64/mpi-1.0-mpich.tar.bz2#c1fcff3417b5a22bbc4cf6e8c23648cf
 https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda#d8d7293c5b37f39b2ac32940621c6592
-https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-3_cp310.conda#4eb33d14d794b0f4be116443ffed3853
+https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda#c2e2630ddb68cf52eec74dc7dfab20b5
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda#939e3e74d8be4dac89ce83b20de2492a
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-12.2.0-h69a702a_19.tar.bz2#cd7a806282c16e1f2d39a7e80d3a3e0d
@@ -26,18 +25,19 @@ https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#
 https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.39-he00db2b_1.conda#3d726e8b51a1f5bfd66892a2b7d9db2d
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/linux-64/binutils-2.39-hdd6e379_1.conda#1276c18b0a562739185dbf5bd14b57b2
-https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.39-h5fc0e48_12.conda#4395b0d4f6e3553bc3b804a9a3cdb234
+https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.39-h5fc0e48_13.conda#7f25a524665e4e2f8a5f86522f8d0e31
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-12.2.0-h65d4601_19.tar.bz2#e4c94f80aef025c17ab0828cd85ef535
-https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.14-h0b41bf4_0.conda#2512d4aa4007fdf7b705713d73bf6967
+https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.17-hd590300_0.conda#ce14366bd45135ab26ee66f8f422dbf2
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2#a1fd65c7ccbf10880423d82bca54eb54
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.18.1-h7f98852_0.tar.bz2#f26ef8098fab1f719c91eb760d63381a
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.19.0-hd590300_0.conda#a1955e8668061427d9e8fbc1be979f4e
 https://conda.anaconda.org/conda-forge/linux-64/freexl-1.0.6-h166bdaf_1.tar.bz2#897e772a157faf3330d72dd291486f62
-https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.1-h27087fc_0.tar.bz2#917b9a50001fffdd89b321b5dba31e55
+https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2#ac7bc6a654f8f41b352b38f4051135f8
+https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.2-hcb278e6_0.conda#3b8e364995e3575e57960d29c1e5ab14
 https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2#14947d8770185e5153fdd04d4673ed37
 https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-he1b5a44_1004.tar.bz2#cddaf2c63ea4a5901cf09524c490ecdc
 https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.1-h0b41bf4_3.conda#96f3b11872ef6fad973eac856cd2624f
-https://conda.anaconda.org/conda-forge/linux-64/icu-70.1-h27087fc_0.tar.bz2#87473a15119779e021c314249d4b4aed
-https://conda.anaconda.org/conda-forge/linux-64/jpeg-9e-h0b41bf4_3.conda#c7a069243e1fbe9a556ed2ec030e6407
+https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h58526e2_1001.tar.bz2#8c54672728e8ec6aa6db90cf2806d220
+https://conda.anaconda.org/conda-forge/linux-64/icu-72.1-hcb278e6_0.conda#7c8d20d847bb45f56bd941578fcfa146
 https://conda.anaconda.org/conda-forge/linux-64/json-c-0.16-hc379101_0.tar.bz2#0e2bca6857cb73acec30387fef7c3142
 https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2#30186d27e2c9fa62b45fb1476b7200e3
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
@@ -45,25 +45,27 @@ https://conda.anaconda.org/conda-forge/linux-64/libabseil-20230125.0-cxx17_hcb27
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.0.6-hcb278e6_1.conda#0f683578378cddb223e7fd24f785ab2a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.0.9-h166bdaf_8.tar.bz2#9194c9bf9428035a05352d031462eae4
 https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2#c965a5aa0d5c1c37ffc62dff36e28400
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.17-h0b41bf4_0.conda#5cc781fd91968b11a8a7fdbee0982676
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.18-h0b41bf4_0.conda#6aa9c9de5542ecb07fdda9ca626252d8
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-h516909a_1.tar.bz2#6f8720dff19e17ce5d48cfe7f3d2f0a3
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.5.0-hcb278e6_1.conda#6305a3dd2752c76335295da4e581f2fd
 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-1.17-h166bdaf_0.tar.bz2#b62b52da46c39ee2bc3c162ac7f1804d
+https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-2.1.5.1-h0b41bf4_0.conda#1edd9e67bdb90d78cea97733ff6b54e6
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.0-h7f98852_0.tar.bz2#39b1328babf85c7c3a61636d9cd50206
 https://conda.anaconda.org/conda-forge/linux-64/libnuma-2.0.16-h0b41bf4_1.conda#28bfe2cb11357ccc5be21101a6b7ce86
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.21-pthreads_h78a6416_3.tar.bz2#8c5963a49b6035c40646a763293fbb35
 https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-11.3.0-h239ccf8_19.tar.bz2#d17fd55aed84ab6592c5419b6600501c
 https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2#c3788462a6fbddafdb413a9f9053e58d
+https://conda.anaconda.org/conda-forge/linux-64/libtool-2.4.7-h27087fc_0.conda#f204c8ba400ec475452737094fb81d52
 https://conda.anaconda.org/conda-forge/linux-64/libutf8proc-2.8.0-h166bdaf_0.tar.bz2#ede4266dc02e875fe1ea77b25dd43747
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda#40b61aab5c7ba9ff276c41cfffe6b80b
 https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.0-h0b41bf4_0.conda#0d4a7508d8c6c65314f2b9c1f56ad408
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h166bdaf_4.tar.bz2#f3f9de449d32ca9b9c66a22863c96f41
 https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda#318b08df404f9c9be5712aaa5a6f0bb0
-https://conda.anaconda.org/conda-forge/linux-64/mpich-4.0.3-h846660c_100.tar.bz2#50d66bb751cfa71ee2a48b2d3eb90ac1
+https://conda.anaconda.org/conda-forge/linux-64/lzo-2.10-h516909a_1000.tar.bz2#bb14fcb13341b81d5eb386423b9d2bac
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.3-h27087fc_1.tar.bz2#4acfc691e64342b9dae57cf2adc63238
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+https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.4.0-pyhd8ed1ab_0.conda#a86727968b41c20dd3d73b91632e77dc
+https://conda.anaconda.org/conda-forge/linux-64/pyarrow-12.0.0-py311hdf9aeb4_1_cpu.conda#48584404ab97094a2653ff2538694991
+https://conda.anaconda.org/conda-forge/noarch/dask-2023.5.0-pyhd8ed1ab_0.conda#01400176e0f139c44f96d5fa69b1ada7
+https://conda.anaconda.org/conda-forge/noarch/iris-3.6.0-pyhd8ed1ab_0.conda#27668030298891f1494c741d17be2328
 https://conda.anaconda.org/conda-forge/noarch/nbsphinx-0.9.1-pyhd8ed1ab_0.conda#a0b8b3d9eb22da29279a90883dcd5962
 https://conda.anaconda.org/conda-forge/noarch/iris-esmf-regrid-0.6.0-pyhd8ed1ab_0.conda#f5820b0c256099df65864d629ffac2f7
diff --git a/doc/api/esmvalcore.cmor.rst b/doc/api/esmvalcore.cmor.rst
index 0142d4b223..1f0758a73f 100644
--- a/doc/api/esmvalcore.cmor.rst
+++ b/doc/api/esmvalcore.cmor.rst
@@ -7,6 +7,7 @@ Checking compliance
 -------------------
 
 .. automodule:: esmvalcore.cmor.check
+   :member-order: bysource
 
 Automatically fixing issues
 ---------------------------
diff --git a/doc/conf.py b/doc/conf.py
index 25ce962fa2..8696e7bc6b 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -33,6 +33,17 @@
 
 # This is used for linking and such so we link to the thing we're building
 rtd_version = os.environ.get("READTHEDOCS_VERSION", "latest")
+if on_rtd:
+    # On Readthedocs, the conda environment used for building the documentation
+    # is not `activated`. As a consequence, a few critical environment variables
+    # are not set. Here, we hardcode them instead.
+    # In a normal environment, i.e. a local build of the documentation, the
+    # normal environment activation takes care of this.
+    rtd_project = os.environ.get("READTHEDOCS_PROJECT")
+    rtd_conda_prefix = f"/home/docs/checkouts/readthedocs.org/user_builds/{rtd_project}/conda/{rtd_version}"
+    os.environ["ESMFMKFILE"] = f"{rtd_conda_prefix}/lib/esmf.mk"
+    os.environ["PROJ_DATA"] = f"{rtd_conda_prefix}/share/proj"
+    os.environ["PROJ_NETWORK"] = "OFF"
 if rtd_version not in ["latest", "stable", "doc"]:
     rtd_version = "latest"
 
@@ -135,7 +146,7 @@
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
-html_theme = 'sphinx_rtd_theme'
+html_theme = 'pydata_sphinx_theme'
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
@@ -411,7 +422,7 @@
     'cf_units': ('https://cf-units.readthedocs.io/en/latest/', None),
     'cftime': ('https://unidata.github.io/cftime/', None),
     'esmvalcore':
-    (f'https://docs.esmvaltool.org/projects/esmvalcore/en/{rtd_version}/',
+    (f'https://docs.esmvaltool.org/projects/ESMValCore/en/{rtd_version}/',
      None),
     'esmvaltool': (f'https://docs.esmvaltool.org/en/{rtd_version}/', None),
     'iris': ('https://scitools-iris.readthedocs.io/en/latest/', None),
diff --git a/environment.yml b/environment.yml
index db3e9b8faf..5455a14a84 100644
--- a/environment.yml
+++ b/environment.yml
@@ -8,10 +8,10 @@ dependencies:
   - cartopy
   - cf-units
   - cftime
-  - dask
   - compilers
+  - dask
   - esgf-pyclient>=0.3.1
-  - esmpy!=8.1.0,<8.4  # see github.com/ESMValGroup/ESMValCore/issues/1208
+  - esmpy!=8.1.0
   - filelock
   - fiona
   - fire
@@ -19,7 +19,7 @@ dependencies:
   - humanfriendly
   - importlib_resources
   - iris>=3.4.0
-  - iris-esmf-regrid
+  - iris-esmf-regrid >=0.6.0  # to work with latest esmpy
   - isodate
   - jinja2
   - nc-time-axis
@@ -46,7 +46,7 @@ dependencies:
   - ipython
   - nbsphinx
   - sphinx>=6.1.3
-  - sphinx_rtd_theme
+  - pydata-sphinx-theme
   # Python packages needed for testing
   - flake8
   - mypy>=0.990
@@ -68,7 +68,7 @@ dependencies:
   - docformatter
   - isort
   - pre-commit
-  - prospector!=1.1.6.3,!=1.1.6.4
+  - prospector >=1.9.0
   # Not on conda forge - vprof
   - yamllint
   - yapf
diff --git a/esmvalcore/cmor/_fixes/cesm/cesm2.py b/esmvalcore/cmor/_fixes/cesm/cesm2.py
index f4927fc5c0..a76e5a1a48 100644
--- a/esmvalcore/cmor/_fixes/cesm/cesm2.py
+++ b/esmvalcore/cmor/_fixes/cesm/cesm2.py
@@ -68,7 +68,7 @@ def _fix_time(self, cube):
         """
         # Only modify time points if data contains a time dimension, is monthly
         # data, and does not describe point measurements.
-        if 'time' not in self.vardef.dimensions:
+        if not self.vardef.has_coord_with_standard_name('time'):
             return
         if self.extra_facets['frequency'] != 'mon':
             return
diff --git a/esmvalcore/cmor/_fixes/emac/emac.py b/esmvalcore/cmor/_fixes/emac/emac.py
index 958efa6204..74f6686a9d 100644
--- a/esmvalcore/cmor/_fixes/emac/emac.py
+++ b/esmvalcore/cmor/_fixes/emac/emac.py
@@ -72,10 +72,8 @@ def fix_metadata(self, cubes):
         self.fix_regular_lon(cube)
 
         # Fix regular pressure levels (considers plev19, plev39, etc.)
-        for dim_name in self.vardef.dimensions:
-            if 'plev' in dim_name:
-                self._fix_plev(cube)
-                break
+        if self.vardef.has_coord_with_standard_name('air_pressure'):
+            self._fix_plev(cube)
 
         # Fix hybrid pressure levels
         if 'alevel' in self.vardef.dimensions:
diff --git a/esmvalcore/cmor/_fixes/icon/_base_fixes.py b/esmvalcore/cmor/_fixes/icon/_base_fixes.py
index d7b3a496a2..f2502ac0a0 100644
--- a/esmvalcore/cmor/_fixes/icon/_base_fixes.py
+++ b/esmvalcore/cmor/_fixes/icon/_base_fixes.py
@@ -219,6 +219,7 @@ def get_horizontal_grid(self, cube):
         # Note: we use a lock here to prevent multiple processes from
         # downloading the file simultaneously and to ensure that other
         # processes wait until the download has finished
+        self.CACHE_DIR.mkdir(parents=True, exist_ok=True)
         lock = FileLock(self.CACHE_DIR / f"{grid_name}.lock")
         with lock:
             grid_path = self.CACHE_DIR / grid_name
@@ -241,7 +242,6 @@ def get_horizontal_grid(self, cube):
                 grid_url,
                 grid_path,
             )
-            self.CACHE_DIR.mkdir(parents=True, exist_ok=True)
             with requests.get(grid_url, stream=True,
                               timeout=self.TIMEOUT) as response:
                 response.raise_for_status()
diff --git a/esmvalcore/cmor/_fixes/icon/icon.py b/esmvalcore/cmor/_fixes/icon/icon.py
index 8a170eb730..bef17d5a99 100644
--- a/esmvalcore/cmor/_fixes/icon/icon.py
+++ b/esmvalcore/cmor/_fixes/icon/icon.py
@@ -27,7 +27,7 @@ def fix_metadata(self, cubes):
         cube = self.get_cube(cubes)
 
         # Fix time
-        if 'time' in self.vardef.dimensions:
+        if self.vardef.has_coord_with_standard_name('time'):
             cube = self._fix_time(cube, cubes)
 
         # Fix height (note: cannot use "if 'height' in self.vardef.dimensions"
@@ -52,13 +52,13 @@ def fix_metadata(self, cubes):
                 cube = self._fix_height(cube, cubes)
 
         # Fix latitude
-        if 'latitude' in self.vardef.dimensions:
+        if self.vardef.has_coord_with_standard_name('latitude'):
             lat_idx = self._fix_lat(cube)
         else:
             lat_idx = None
 
         # Fix longitude
-        if 'longitude' in self.vardef.dimensions:
+        if self.vardef.has_coord_with_standard_name('longitude'):
             lon_idx = self._fix_lon(cube)
         else:
             lon_idx = None
@@ -270,25 +270,29 @@ def _fix_time(self, cube, cubes):
         new_t_unit = cf_units.Unit('days since 1850-01-01',
                                    calendar='proleptic_gregorian')
 
-        # New routine to convert time of daily and hourly data
-        # The string %f (fraction of day) is not a valid format string
-        # for datetime.strptime, so we have to convert it ourselves
-        time_str = [str(x) for x in time_coord.points]
+        # New routine to convert time of daily and hourly data. The string %f
+        # (fraction of day) is not a valid format string for datetime.strptime,
+        # so we have to convert it ourselves.
+        time_str = pd.Series(time_coord.points, dtype=str)
 
-        # First, extract date (year, month, day) from string
-        # and convert it to datetime object
-        year_month_day_str = pd.Series(time_str).str.extract(
-            r'(\d*)\.?\d*', expand=False
-        )
+        # First, extract date (year, month, day) from string and convert it to
+        # datetime object
+        year_month_day_str = time_str.str.extract(r'(\d*)\.?\d*', expand=False)
         year_month_day = pd.to_datetime(year_month_day_str, format='%Y%m%d')
+
         # Second, extract day fraction and convert it to timedelta object
-        day_float_str = pd.Series(time_str).str.extract(
+        day_float_str = time_str.str.extract(
             r'\d*(\.\d*)', expand=False
         ).fillna('0.0')
         day_float = pd.to_timedelta(day_float_str.astype(float), unit='D')
-        # Finally, add date and day fraction to get final datetime
-        # and convert it to correct units
-        new_datetimes = (year_month_day + day_float).dt.to_pydatetime()
+
+        # Finally, add date and day fraction to get final datetime and convert
+        # it to correct units. Note: we also round to next second, otherwise
+        # this results in times that are off by 1s (e.g., 13:59:59 instead of
+        # 14:00:00).
+        new_datetimes = (year_month_day + day_float).round(
+            'S'
+        ).dt.to_pydatetime()
         new_dt_points = date2num(np.array(new_datetimes), new_t_unit)
 
         time_coord.points = new_dt_points
diff --git a/esmvalcore/cmor/_fixes/native_datasets.py b/esmvalcore/cmor/_fixes/native_datasets.py
index 0d0dc79218..72e9561c66 100644
--- a/esmvalcore/cmor/_fixes/native_datasets.py
+++ b/esmvalcore/cmor/_fixes/native_datasets.py
@@ -123,7 +123,7 @@ def fix_regular_time(self, cube, coord=None, guess_bounds=True):
             bounds.
 
         """
-        if 'time' not in self.vardef.dimensions:
+        if not self.vardef.has_coord_with_standard_name('time'):
             return
         coord = self.fix_time_metadata(cube, coord)
         if guess_bounds:
@@ -144,7 +144,7 @@ def fix_regular_lat(self, cube, coord=None, guess_bounds=True):
             bounds.
 
         """
-        if 'latitude' not in self.vardef.dimensions:
+        if not self.vardef.has_coord_with_standard_name('latitude'):
             return
         coord = self.fix_lat_metadata(cube, coord)
         if guess_bounds:
@@ -165,7 +165,7 @@ def fix_regular_lon(self, cube, coord=None, guess_bounds=True):
             bounds.
 
         """
-        if 'longitude' not in self.vardef.dimensions:
+        if not self.vardef.has_coord_with_standard_name('longitude'):
             return
         coord = self.fix_lon_metadata(cube, coord)
         if guess_bounds:
diff --git a/esmvalcore/cmor/_fixes/shared.py b/esmvalcore/cmor/_fixes/shared.py
index 3883520b71..0e4dfead08 100644
--- a/esmvalcore/cmor/_fixes/shared.py
+++ b/esmvalcore/cmor/_fixes/shared.py
@@ -5,6 +5,7 @@
 
 import dask.array as da
 import iris
+import numpy as np
 import pandas as pd
 from cf_units import Unit
 from iris import NameConstraint
@@ -46,6 +47,33 @@ def add_aux_coords_from_cubes(cube, cubes, coord_dict):
         cubes.remove(coord_cube)
 
 
+def _map_on_filled(function, array):
+    """Map function on filled array."""
+    if array.size == 0:
+        return array
+
+    # We support dask and numpy arrays
+    # Note: numpy's dispatch mechanism does not work here because of the usage
+    # of `np.ma.filled` and `np.ma.masked_array`.
+    if isinstance(array, da.core.Array):
+        num_module = da
+    else:
+        num_module = np
+
+    mask = num_module.ma.getmaskarray(array)
+
+    # Fill masked values with dummy value (simply use first value in array for
+    # this to preserve dtype; these entries get re-masked later so the actual
+    # value does not matter). Note: `array.fill_value` is not defined for dask
+    # arrays, and `ma.filled` also works for regular (non-masked) arrays.
+    fill_value = num_module.ravel(array)[0]
+    array = num_module.ma.filled(array, fill_value)
+
+    # Apply function and return masked array
+    array = function(array)
+    return num_module.ma.masked_array(array, mask=mask)
+
+
 def add_plev_from_altitude(cube):
     """Add pressure level coordinate from altitude coordinate.
 
@@ -64,11 +92,15 @@ def add_plev_from_altitude(cube):
         if height_coord.units != 'm':
             height_coord.convert_units('m')
         altitude_to_pressure = get_altitude_to_pressure_func()
-        pressure_points = altitude_to_pressure(height_coord.core_points())
+        pressure_points = _map_on_filled(
+            altitude_to_pressure, height_coord.core_points()
+        )
         if height_coord.core_bounds() is None:
             pressure_bounds = None
         else:
-            pressure_bounds = altitude_to_pressure(height_coord.core_bounds())
+            pressure_bounds = _map_on_filled(
+                altitude_to_pressure, height_coord.core_bounds()
+            )
         pressure_coord = iris.coords.AuxCoord(pressure_points,
                                               bounds=pressure_bounds,
                                               standard_name='air_pressure',
@@ -98,11 +130,15 @@ def add_altitude_from_plev(cube):
         if plev_coord.units != 'Pa':
             plev_coord.convert_units('Pa')
         pressure_to_altitude = get_pressure_to_altitude_func()
-        altitude_points = pressure_to_altitude(plev_coord.core_points())
+        altitude_points = _map_on_filled(
+            pressure_to_altitude, plev_coord.core_points()
+        )
         if plev_coord.core_bounds() is None:
             altitude_bounds = None
         else:
-            altitude_bounds = pressure_to_altitude(plev_coord.core_bounds())
+            altitude_bounds = _map_on_filled(
+                pressure_to_altitude, plev_coord.core_bounds()
+            )
         altitude_coord = iris.coords.AuxCoord(altitude_points,
                                               bounds=altitude_bounds,
                                               standard_name='altitude',
diff --git a/esmvalcore/cmor/check.py b/esmvalcore/cmor/check.py
index 6dbc0e6e4f..29f0f74e7e 100644
--- a/esmvalcore/cmor/check.py
+++ b/esmvalcore/cmor/check.py
@@ -14,17 +14,24 @@
 
 from .table import CMOR_TABLES
 
-CheckLevels = IntEnum('CheckLevels', 'DEBUG STRICT DEFAULT RELAXED IGNORE')
-"""Level of strictness of the checks.
-
-   Attributes
-   ------
-   - DEBUG: Report any debug message that the checker wants to communicate.
-   - STRICT: Fail if there are warnings regarding compliance of CMOR standards.
-   - DEFAULT: Fail if cubes present any discrepancy with CMOR standards.
-   - RELAXED: Fail if cubes present severe discrepancies with CMOR standards.
-   - IGNORE: Do not fail for any discrepancy with CMOR standards.
-"""
+
+class CheckLevels(IntEnum):
+    """Level of strictness of the checks."""
+
+    DEBUG = 1
+    """Report any debug message that the checker wants to communicate."""
+
+    STRICT = 2
+    """Fail if there are warnings regarding compliance of CMOR standards."""
+
+    DEFAULT = 3
+    """Fail if cubes present any discrepancy with CMOR standards."""
+
+    RELAXED = 4
+    """Fail if cubes present severe discrepancies with CMOR standards."""
+
+    IGNORE = 5
+    """Do not fail for any discrepancy with CMOR standards."""
 
 
 def _get_next_month(month, year):
diff --git a/esmvalcore/cmor/table.py b/esmvalcore/cmor/table.py
index da0333c412..680e7289a1 100644
--- a/esmvalcore/cmor/table.py
+++ b/esmvalcore/cmor/table.py
@@ -568,7 +568,7 @@ def __init__(self, table_type, short_name):
         Parameters
         ----------
         short_name: str
-            variable's short name
+            Variable's short name.
         """
         super(VariableInfo, self).__init__()
         self.table_type = table_type
@@ -608,7 +608,7 @@ def copy(self):
         Returns
         -------
         VariableInfo
-           Shallow copy of this object
+           Shallow copy of this object.
         """
         return copy.copy(self)
 
@@ -620,11 +620,10 @@ def read_json(self, json_data, default_freq):
         Parameters
         ----------
         json_data: dict
-            dictionary created by the json reader containing
-            variable information
-
+            Dictionary created by the json reader containing variable
+            information.
         default_freq: str
-            Default frequency to use if it is not defined at variable level
+            Default frequency to use if it is not defined at variable level.
         """
         self._json_data = json_data
 
@@ -640,6 +639,37 @@ def read_json(self, json_data, default_freq):
 
         self.dimensions = self._read_json_variable('dimensions').split()
 
+    def has_coord_with_standard_name(self, standard_name: str) -> bool:
+        """Check if a coordinate with a given `standard_name` exists.
+
+        For some coordinates, multiple (slightly different) versions with
+        different dimension names but identical `standard_name` exist. For
+        example, the CMIP6 tables provide 4 different `standard_name=time`
+        dimensions: `time`, `time1`, `time2`, and `time3`. Other examples would
+        be the CMIP6 pressure levels (`plev19`, `plev23`, `plev27`, etc.  with
+        standard name `air_pressure`) and the altitudes (`alt16`, `alt40` with
+        standard name `altitude`).
+
+        This function can be used to check for the existence of a specific
+        coordinate defined by its `standard_name`, not its dimension name.
+
+        Parameters
+        ----------
+        standard_name: str
+            Standard name to be checked.
+
+        Returns
+        -------
+        bool
+            `True` if there is at least one coordinate with the given
+            `standard_name`, `False` if not.
+
+        """
+        for coord in self.coordinates.values():
+            if coord.standard_name == standard_name:
+                return True
+        return False
+
 
 class CoordinateInfo(JsonInfo):
     """Class to read and store coordinate information."""
diff --git a/esmvalcore/preprocessor/_mask.py b/esmvalcore/preprocessor/_mask.py
index fa411bdd0d..2f488adbf1 100644
--- a/esmvalcore/preprocessor/_mask.py
+++ b/esmvalcore/preprocessor/_mask.py
@@ -511,6 +511,7 @@ def _multimodel_mask_products(products, shape):
                 used_products.add(product)
 
     # Apply common mask and update provenance information
+    used_products = {p.copy_provenance() for p in used_products}
     for product in products:
         for cube in product.cubes:
             cube.data = da.ma.masked_array(cube.core_data(), mask=mask)
diff --git a/esmvalcore/preprocessor/_multimodel.py b/esmvalcore/preprocessor/_multimodel.py
index f808d1d9c5..9bb6d6e2af 100644
--- a/esmvalcore/preprocessor/_multimodel.py
+++ b/esmvalcore/preprocessor/_multimodel.py
@@ -198,9 +198,18 @@ def _map_to_new_time(cube, time_points):
     try:
         new_cube = cube.interpolate(sample_points, scheme)
     except Exception as excinfo:
+        additional_info = ""
+        if cube.coords('time', dimensions=()):
+            additional_info = (
+                " Note: this alignment does not work for scalar time "
+                "coordinates. To ignore all scalar coordinates in the input "
+                "data, use the preprocessor option "
+                "`ignore_scalar_coords=True`."
+            )
         raise ValueError(
             f"Tried to align cubes in multi-model statistics, but failed for "
-            f"cube {cube}\n and time points {time_points}") from excinfo
+            f"cube {cube}\n and time points {time_points}.{additional_info}"
+        ) from excinfo
 
     # Change the dtype of int_time_coords to their original values
     for coord_name in int_time_coords:
@@ -313,7 +322,7 @@ def _get_equal_coord_names_metadata(cubes, equal_coords_metadata):
     return equal_names_metadata
 
 
-def _equalise_coordinate_metadata(cubes, ignore_scalar_coords=False):
+def _equalise_coordinate_metadata(cubes):
     """Equalise coordinates in cubes (in-place)."""
     if not cubes:
         return
@@ -356,17 +365,19 @@ def _equalise_coordinate_metadata(cubes, ignore_scalar_coords=False):
             # Note: remaining differences will raise an error at a later stage
             coord.long_name = None
 
-        # Remove scalar coordinates if desired. In addition, always remove
-        # specific scalar coordinates which are not expected to be equal in the
-        # input cubes.
+        # Remove special scalar coordinates which are not expected to be equal
+        # in the input cubes. Note: if `ignore_scalar_coords=True` is used for
+        # `multi_model_statistics`, the cubes do not contain scalar coordinates
+        # at this point anymore.
         scalar_coords_to_always_remove = ['p0', 'ptop']
         for scalar_coord in cube.coords(dimensions=()):
-            remove_coord = (
-                ignore_scalar_coords or
-                scalar_coord.var_name in scalar_coords_to_always_remove
-            )
-            if remove_coord:
+            if scalar_coord.var_name in scalar_coords_to_always_remove:
                 cube.remove_coord(scalar_coord)
+                logger.debug(
+                    "Removed scalar coordinate '%s' from cube %s",
+                    scalar_coord.var_name,
+                    cube.summary(shorten=True),
+                )
 
 
 def _equalise_fx_variables(cubes):
@@ -413,7 +424,7 @@ def _equalise_var_metadata(cubes):
             setattr(cube, attr, equal_names_metadata[cube_id][attr])
 
 
-def _combine(cubes, ignore_scalar_coords=False):
+def _combine(cubes):
     """Merge iris cubes into a single big cube with new dimension.
 
     This assumes that all input cubes have the same shape.
@@ -424,9 +435,7 @@ def _combine(cubes, ignore_scalar_coords=False):
     equalise_attributes(cubes)
     _equalise_var_metadata(cubes)
     _equalise_cell_methods(cubes)
-    _equalise_coordinate_metadata(
-        cubes, ignore_scalar_coords=ignore_scalar_coords
-    )
+    _equalise_coordinate_metadata(cubes)
     _equalise_fx_variables(cubes)
 
     for i, cube in enumerate(cubes):
@@ -487,8 +496,12 @@ def _compute_slices(cubes):
         yield slice(start, end)
 
 
-def _compute_eager(cubes: list, *, operator: iris.analysis.Aggregator,
-                   ignore_scalar_coords=False, **kwargs):
+def _compute_eager(
+    cubes: list,
+    *,
+    operator: iris.analysis.Aggregator,
+    **kwargs,
+):
     """Compute statistics one slice at a time."""
     _ = [cube.data for cube in cubes]  # make sure the cubes' data are realized
 
@@ -498,10 +511,7 @@ def _compute_eager(cubes: list, *, operator: iris.analysis.Aggregator,
             single_model_slices = cubes  # scalar cubes
         else:
             single_model_slices = [cube[chunk] for cube in cubes]
-        combined_slice = _combine(
-            single_model_slices,
-            ignore_scalar_coords=ignore_scalar_coords,
-        )
+        combined_slice = _combine(single_model_slices)
         with warnings.catch_warnings():
             warnings.filterwarnings(
                 'ignore',
@@ -570,9 +580,22 @@ def _multicube_statistics(cubes, statistics, span, ignore_scalar_coords=False):
     # Avoid modifying inputs
     copied_cubes = [cube.copy() for cube in cubes]
 
+    # Remove scalar coordinates in input cubes if desired to ignore them when
+    # merging
+    if ignore_scalar_coords:
+        for cube in copied_cubes:
+            for scalar_coord in cube.coords(dimensions=()):
+                cube.remove_coord(scalar_coord)
+                logger.debug(
+                    "Removed scalar coordinate '%s' from cube %s since "
+                    "ignore_scalar_coords=True",
+                    scalar_coord.var_name,
+                    cube.summary(shorten=True),
+                )
+
     # If all cubes contain a time coordinate, align them. If no cube contains a
-    # time coordinate, do nothing. Else, raise an exception
-    time_coords = [cube.coords('time') for cube in cubes]
+    # time coordinate, do nothing. Else, raise an exception.
+    time_coords = [cube.coords('time') for cube in copied_cubes]
     if all(time_coords):
         aligned_cubes = _align_time_coord(copied_cubes, span=span)
     elif not any(time_coords):
@@ -592,7 +615,6 @@ def _multicube_statistics(cubes, statistics, span, ignore_scalar_coords=False):
 
         result_cube = _compute_eager(aligned_cubes,
                                      operator=operator,
-                                     ignore_scalar_coords=ignore_scalar_coords,
                                      **kwargs)
         statistics_cubes[statistic] = result_cube
 
diff --git a/esmvalcore/preprocessor/_regrid.py b/esmvalcore/preprocessor/_regrid.py
index 58d0dd2201..4972a7ce8f 100644
--- a/esmvalcore/preprocessor/_regrid.py
+++ b/esmvalcore/preprocessor/_regrid.py
@@ -5,6 +5,7 @@
 import logging
 import os
 import re
+import ssl
 from copy import deepcopy
 from decimal import Decimal
 from pathlib import Path
@@ -360,15 +361,26 @@ def extract_location(cube, location, scheme):
     if scheme is None:
         raise ValueError("Interpolation scheme needs to be specified."
                          " Use either 'linear' or 'nearest'.")
-    geolocator = Nominatim(user_agent='esmvalcore')
+    try:
+        # Try to use the default SSL context, see
+        # https://github.com/ESMValGroup/ESMValCore/issues/2012 for more
+        # information.
+        ssl_context = ssl.create_default_context()
+        geolocator = Nominatim(user_agent='esmvalcore',
+                               ssl_context=ssl_context)
+    except ssl.SSLError:
+        logger.warning(
+            "ssl.create_default_context() encountered a problem, not using it."
+        )
+        geolocator = Nominatim(user_agent='esmvalcore')
     geolocation = geolocator.geocode(location)
     if geolocation is None:
         raise ValueError(f'Requested location {location} can not be found.')
     logger.info("Extracting data for %s (%s °N, %s °E)", geolocation,
                 geolocation.latitude, geolocation.longitude)
 
-    return extract_point(cube, geolocation.latitude,
-                         geolocation.longitude, scheme)
+    return extract_point(cube, geolocation.latitude, geolocation.longitude,
+                         scheme)
 
 
 def extract_point(cube, latitude, longitude, scheme):
@@ -995,13 +1007,11 @@ def get_cmor_levels(cmor_table, coordinate):
     """
     if cmor_table not in CMOR_TABLES:
         raise ValueError(
-            f"Level definition cmor_table '{cmor_table}' not available"
-        )
+            f"Level definition cmor_table '{cmor_table}' not available")
 
     if coordinate not in CMOR_TABLES[cmor_table].coords:
         raise ValueError(
-            f'Coordinate {coordinate} not available for {cmor_table}'
-        )
+            f'Coordinate {coordinate} not available for {cmor_table}')
 
     cmor = CMOR_TABLES[cmor_table].coords[coordinate]
 
@@ -1012,8 +1022,7 @@ def get_cmor_levels(cmor_table, coordinate):
 
     raise ValueError(
         f'Coordinate {coordinate} in {cmor_table} does not have requested '
-        f'values'
-    )
+        f'values')
 
 
 def get_reference_levels(dataset):
diff --git a/setup.py b/setup.py
index 004d717d20..5ef4990050 100755
--- a/setup.py
+++ b/setup.py
@@ -33,8 +33,7 @@
         'dask[array]',
         'esgf-pyclient>=0.3.1',
         'esmf-regrid',
-        # see github.com/ESMValGroup/ESMValCore/issues/1208
-        'esmpy!=8.1.0,<8.4',
+        'esmpy!=8.1.0',
         'filelock',
         'fiona',
         'fire',
@@ -86,7 +85,7 @@
         'ipython',
         'nbsphinx',
         'sphinx>=6.1.3',
-        'sphinx_rtd_theme',
+        'pydata_sphinx_theme',
     ],
     # Development dependencies
     # Use pip install -e .[develop] to install in development mode
@@ -95,7 +94,7 @@
         'docformatter',
         'isort',
         'pre-commit',
-        'prospector[with_pyroma,with_mypy]!=1.1.6.3,!=1.1.6.4',
+        'prospector[with_pyroma,with_mypy]>=1.9.0',
         'vprof',
         'yamllint',
         'yapf',
@@ -220,6 +219,7 @@ def read_description(filename):
         'Programming Language :: Python :: 3.8',
         'Programming Language :: Python :: 3.9',
         'Programming Language :: Python :: 3.10',
+        'Programming Language :: Python :: 3.11',
         'Topic :: Scientific/Engineering',
         'Topic :: Scientific/Engineering :: Atmospheric Science',
         'Topic :: Scientific/Engineering :: GIS',
diff --git a/tests/__init__.py b/tests/__init__.py
index 03f1dff082..a059d6b310 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -85,5 +85,6 @@ def __init__(self, cubes, filename, attributes, settings=None, **kwargs):
             self.settings = settings
         self.mock_ancestors = set()
         self.wasderivedfrom = mock.Mock(side_effect=self.mock_ancestors.add)
+        self.copy_provenance = mock.Mock(return_value=self)
 
     group = PreprocessorFileBase.group
diff --git a/tests/integration/cmor/_fixes/cesm/test_cesm2.py b/tests/integration/cmor/_fixes/cesm/test_cesm2.py
index 6d15d12e79..44fed835b7 100644
--- a/tests/integration/cmor/_fixes/cesm/test_cesm2.py
+++ b/tests/integration/cmor/_fixes/cesm/test_cesm2.py
@@ -8,7 +8,7 @@
 
 import esmvalcore.cmor._fixes.cesm.cesm2
 from esmvalcore.cmor.fix import Fix
-from esmvalcore.cmor.table import get_var_info
+from esmvalcore.cmor.table import CoordinateInfo, get_var_info
 from esmvalcore.config._config import get_extra_facets
 from esmvalcore.dataset import Dataset
 
@@ -170,7 +170,9 @@ def test_only_time(monkeypatch):
     # CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of tas to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['time'])
+    coord_info = CoordinateInfo('time')
+    coord_info.standard_name = 'time'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'time': coord_info})
 
     # Create cube with only a single dimension
     time_coord = DimCoord([0.0, 1.0], var_name='time', standard_name='time',
@@ -210,7 +212,9 @@ def test_only_latitude(monkeypatch):
     # CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of tas to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['latitude'])
+    coord_info = CoordinateInfo('latitude')
+    coord_info.standard_name = 'latitude'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'latitude': coord_info})
 
     # Create cube with only a single dimension
     lat_coord = DimCoord([0.0, 10.0], var_name='lat', standard_name='latitude',
@@ -250,7 +254,9 @@ def test_only_longitude(monkeypatch):
     # CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of tas to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['longitude'])
+    coord_info = CoordinateInfo('longitude')
+    coord_info.standard_name = 'longitude'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'longitude': coord_info})
 
     # Create cube with only a single dimension
     lon_coord = DimCoord([0.0, 180.0], var_name='lon',
@@ -294,6 +300,16 @@ def test_fix_time_mon(cube_1d_time):
     np.testing.assert_array_equal(time_coord.bounds, [[0, 2], [2, 4], [4, 6]])
 
 
+def test_fix_time2_mon(cube_1d_time):
+    """Test `_fix_time``."""
+    # ch4Clim has dimensions [longitude, latitude, plev19, time2]
+    fix = get_allvars_fix('Amon', 'mon', 'ch4Clim')
+    fix._fix_time(cube_1d_time)
+    time_coord = cube_1d_time.coord('time')
+    np.testing.assert_array_equal(time_coord.points, [1, 3, 5])
+    np.testing.assert_array_equal(time_coord.bounds, [[0, 2], [2, 4], [4, 6]])
+
+
 def test_fix_time_mon_point(cube_1d_time):
     """Test `_fix_time``."""
     cube_1d_time.add_cell_method(CellMethod('point', 'time'))
diff --git a/tests/integration/cmor/_fixes/emac/test_emac.py b/tests/integration/cmor/_fixes/emac/test_emac.py
index 8b36b7770b..b426c27a6f 100644
--- a/tests/integration/cmor/_fixes/emac/test_emac.py
+++ b/tests/integration/cmor/_fixes/emac/test_emac.py
@@ -42,7 +42,7 @@
     Zg,
 )
 from esmvalcore.cmor.fix import Fix
-from esmvalcore.cmor.table import get_var_info
+from esmvalcore.cmor.table import CoordinateInfo, get_var_info
 from esmvalcore.config._config import get_extra_facets
 from esmvalcore.dataset import Dataset
 
@@ -569,7 +569,9 @@ def test_only_time(monkeypatch):
     # EMAC CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['time'])
+    coord_info = CoordinateInfo('time')
+    coord_info.standard_name = 'time'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'time': coord_info})
 
     # Create cube with only a single dimension
     time_coord = DimCoord([0.0, 1.0],
@@ -613,7 +615,9 @@ def test_only_plev(monkeypatch):
     # EMAC CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['plev19'])
+    coord_info = CoordinateInfo('plev19')
+    coord_info.standard_name = 'air_pressure'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'plev19': coord_info})
 
     # Create cube with only a single dimension
     plev_coord = DimCoord([1000.0, 900.0],
@@ -656,7 +660,9 @@ def test_only_latitude(monkeypatch):
     # EMAC CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['latitude'])
+    coord_info = CoordinateInfo('latitude')
+    coord_info.standard_name = 'latitude'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'latitude': coord_info})
 
     # Create cube with only a single dimension
     lat_coord = DimCoord([0.0, 10.0],
@@ -699,7 +705,9 @@ def test_only_longitude(monkeypatch):
     # EMAC CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['longitude'])
+    coord_info = CoordinateInfo('longitude')
+    coord_info.standard_name = 'longitude'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'longitude': coord_info})
 
     # Create cube with only a single dimension
     lon_coord = DimCoord([0.0, 180.0],
diff --git a/tests/integration/cmor/_fixes/icon/test_icon.py b/tests/integration/cmor/_fixes/icon/test_icon.py
index e7f714beef..ada031f394 100644
--- a/tests/integration/cmor/_fixes/icon/test_icon.py
+++ b/tests/integration/cmor/_fixes/icon/test_icon.py
@@ -14,7 +14,7 @@
 from esmvalcore.cmor._fixes.icon._base_fixes import IconFix
 from esmvalcore.cmor._fixes.icon.icon import AllVars, Clwvi, Siconc, Siconca
 from esmvalcore.cmor.fix import Fix
-from esmvalcore.cmor.table import get_var_info
+from esmvalcore.cmor.table import CoordinateInfo, get_var_info
 from esmvalcore.config._config import get_extra_facets
 from esmvalcore.dataset import Dataset
 
@@ -888,6 +888,47 @@ def test_2d_lat_lon_grid_fix(cubes_2d_lat_lon_grid):
     assert cube.coords('height', dim_coords=False, dimensions=())
 
 
+# Test ch4Clim (for time dimension time2)
+
+
+def test_get_ch4clim_fix():
+    """Test getting of fix."""
+    fix = Fix.get_fixes('ICON', 'ICON', 'Amon', 'ch4Clim')
+    assert fix == [AllVars(None)]
+
+
+def test_ch4clim_fix(cubes_regular_grid):
+    """Test fix."""
+    cube = cubes_regular_grid[0]
+    cube.var_name = 'ch4Clim'
+    cube.units = 'mol mol-1'
+    cube.coord('time').units = 'no_unit'
+    cube.coord('time').attributes['invalid_units'] = 'day as %Y%m%d.%f'
+    cube.coord('time').points = [18500104.0]
+    cube.coord('time').long_name = 'wrong_time_name'
+
+    fix = get_allvars_fix('Amon', 'ch4Clim')
+    fixed_cubes = fix.fix_metadata(cubes_regular_grid)
+
+    assert len(fixed_cubes) == 1
+    cube = fixed_cubes[0]
+    assert cube.var_name == 'ch4Clim'
+    assert cube.standard_name == 'mole_fraction_of_methane_in_air'
+    assert cube.long_name == 'Mole Fraction of CH4'
+    assert cube.units == 'mol mol-1'
+    assert 'positive' not in cube.attributes
+
+    time_coord = cube.coord('time')
+    assert time_coord.var_name == 'time'
+    assert time_coord.standard_name == 'time'
+    assert time_coord.long_name == 'time'
+    assert time_coord.units == Unit(
+        'days since 1850-01-01', calendar='proleptic_gregorian'
+    )
+    np.testing.assert_allclose(time_coord.points, [3.0])
+    assert time_coord.bounds is None
+
+
 # Test fix with empty standard_name
 
 
@@ -1147,7 +1188,9 @@ def test_only_time(monkeypatch):
     # ICON CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['time'])
+    coord_info = CoordinateInfo('time')
+    coord_info.standard_name = 'time'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'time': coord_info})
 
     # Create cube with only a single dimension
     time_coord = DimCoord([0.0, 1.0],
@@ -1192,7 +1235,9 @@ def test_only_height(monkeypatch):
     # ICON CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['plev19'])
+    coord_info = CoordinateInfo('plev19')
+    coord_info.standard_name = 'air_pressure'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'plev19': coord_info})
 
     # Create cube with only a single dimension
     height_coord = DimCoord([1000.0, 100.0],
@@ -1225,6 +1270,9 @@ def test_only_height(monkeypatch):
     np.testing.assert_allclose(new_height_coord.points, [1.0, 10.0])
     assert new_height_coord.bounds is None
 
+    # Check that no air_pressure coordinate has been created
+    assert not cube.coords('air_pressure')
+
     # Check that no mesh has been created
     assert cube.mesh is None
 
@@ -1236,7 +1284,9 @@ def test_only_latitude(monkeypatch):
     # ICON CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['latitude'])
+    coord_info = CoordinateInfo('latitude')
+    coord_info.standard_name = 'latitude'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'latitude': coord_info})
 
     # Create cube with only a single dimension
     lat_coord = DimCoord([0.0, 10.0],
@@ -1279,7 +1329,9 @@ def test_only_longitude(monkeypatch):
     # ICON CMORizer is designed to check for the presence of each dimension
     # individually. To test this, remove all but one dimension of ta to create
     # an artificial, but realistic test case.
-    monkeypatch.setattr(fix.vardef, 'dimensions', ['longitude'])
+    coord_info = CoordinateInfo('longitude')
+    coord_info.standard_name = 'longitude'
+    monkeypatch.setattr(fix.vardef, 'coordinates', {'longitude': coord_info})
 
     # Create cube with only a single dimension
     lon_coord = DimCoord([0.0, 180.0],
@@ -1346,13 +1398,13 @@ def test_hourly_data(cubes_2d):
     """Test fix."""
     fix = get_allvars_fix('Amon', 'tas')
     for cube in cubes_2d:
-        cube.coord('time').points = [20220314.1]
+        cube.coord('time').points = [20041104.5833333]
 
     fixed_cubes = fix.fix_metadata(cubes_2d)
 
     cube = check_tas_metadata(fixed_cubes)
     date = cube.coord('time').units.num2date(cube.coord('time').points)
-    np.testing.assert_array_equal(date, [datetime(2022, 3, 14, 2, 24)])
+    np.testing.assert_array_equal(date, [datetime(2004, 11, 4, 14, 0)])
     assert cube.coord('time').bounds is None
 
 
diff --git a/tests/integration/cmor/_fixes/test_native_datasets.py b/tests/integration/cmor/_fixes/test_native_datasets.py
index 5b98a8a2ce..a48b37e954 100644
--- a/tests/integration/cmor/_fixes/test_native_datasets.py
+++ b/tests/integration/cmor/_fixes/test_native_datasets.py
@@ -8,7 +8,7 @@
 from iris.cube import Cube, CubeList
 
 from esmvalcore.cmor._fixes.native_datasets import NativeDatasetFix
-from esmvalcore.cmor.table import get_var_info
+from esmvalcore.cmor.table import CoordinateInfo, get_var_info
 
 
 @pytest.fixture
@@ -197,6 +197,9 @@ def test_get_cube_fail(cubes, fix):
     'coord,coord_name,func_name',
     [
         ('time', 'time', 'fix_regular_time'),
+        ('time1', 'time', 'fix_regular_time'),
+        ('time2', 'time', 'fix_regular_time'),
+        ('time3', 'time', 'fix_regular_time'),
         ('latitude', 'latitude', 'fix_regular_lat'),
         ('longitude', 'longitude', 'fix_regular_lon'),
     ]
@@ -204,7 +207,9 @@ def test_get_cube_fail(cubes, fix):
 def test_fix_regular_coords_from_cube(monkeypatch, sample_cube, fix, coord,
                                       coord_name, func_name):
     """Test fixing of regular coords from cube."""
-    monkeypatch.setattr(fix.vardef, 'dimensions', [coord])
+    coord_info = CoordinateInfo(coord)
+    coord_info.standard_name = coord_name
+    monkeypatch.setattr(fix.vardef, 'coordinates', {coord: coord_info})
 
     func = getattr(fix, func_name)
     func(sample_cube)
@@ -220,6 +225,9 @@ def test_fix_regular_coords_from_cube(monkeypatch, sample_cube, fix, coord,
     'coord,coord_name,func_name',
     [
         ('time', 'time', 'fix_regular_time'),
+        ('time1', 'time', 'fix_regular_time'),
+        ('time2', 'time', 'fix_regular_time'),
+        ('time3', 'time', 'fix_regular_time'),
         ('latitude', 'latitude', 'fix_regular_lat'),
         ('longitude', 'longitude', 'fix_regular_lon'),
     ]
@@ -227,7 +235,9 @@ def test_fix_regular_coords_from_cube(monkeypatch, sample_cube, fix, coord,
 def test_fix_regular_coords_from_str(monkeypatch, sample_cube, fix, coord,
                                      coord_name, func_name):
     """Test fixing of regular coords from string."""
-    monkeypatch.setattr(fix.vardef, 'dimensions', [coord])
+    coord_info = CoordinateInfo(coord)
+    coord_info.standard_name = coord_name
+    monkeypatch.setattr(fix.vardef, 'coordinates', {coord: coord_info})
 
     func = getattr(fix, func_name)
     func(sample_cube, coord=coord_name)
diff --git a/tests/integration/cmor/_fixes/test_shared.py b/tests/integration/cmor/_fixes/test_shared.py
index e82005f595..92d2cfba2a 100644
--- a/tests/integration/cmor/_fixes/test_shared.py
+++ b/tests/integration/cmor/_fixes/test_shared.py
@@ -1,4 +1,5 @@
 """Tests for shared functions for fixes."""
+import dask.array as da
 import iris
 import iris.coords
 import iris.cube
@@ -8,6 +9,7 @@
 from iris import NameConstraint
 
 from esmvalcore.cmor._fixes.shared import (
+    _map_on_filled,
     add_altitude_from_plev,
     add_aux_coords_from_cubes,
     add_plev_from_altitude,
@@ -103,18 +105,102 @@ def test_add_aux_coords_from_cubes(coord_dict, output):
         assert "got 2" in str(err.value)
 
 
+def test_map_on_filled_np_empty_array():
+    """Test `_map_on_filled` with empty numpy array."""
+    array_in = np.array([])
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, np.ndarray)
+    assert not np.ma.isMaskedArray(output)
+    np.testing.assert_equal(output, [])
+
+
+def test_map_on_filled_np_no_mask():
+    """Test `_map_on_filled` with non-masked numpy array."""
+    array_in = np.array([1, 2, 3])
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, np.ndarray)
+    assert np.ma.isMaskedArray(output)
+    np.testing.assert_equal(output, [1, 4, 9])
+
+
+def test_map_on_filled_np_mask():
+    """Test `_map_on_filled` with masked numpy array."""
+    array_in = np.ma.masked_equal([999.0, 4.0, 999.0], 999.0)
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, np.ndarray)
+    assert np.ma.isMaskedArray(output)
+    np.testing.assert_allclose(output, [999.0, 16.0, 999.0])
+    np.testing.assert_equal(output.mask, [True, False, True])
+
+
+def test_map_on_filled_np_mask_not_used():
+    """Test `_map_on_filled` with masked numpy array."""
+    array_in = np.ma.masked_equal([2, 4, 5], 10)
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, np.ndarray)
+    assert np.ma.isMaskedArray(output)
+    np.testing.assert_allclose(output, [4, 16, 25])
+    np.testing.assert_equal(output.mask, [False, False, False])
+
+
+def test_map_on_filled_da_empty_array():
+    """Test `_map_on_filled` with empty dask array."""
+    array_in = da.array([])
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, da.core.Array)
+    output = output.compute()
+    assert not np.ma.isMaskedArray(output)
+    np.testing.assert_equal(output, [])
+
+
+def test_map_on_filled_da_no_mask():
+    """Test `_map_on_filled` with non-masked dask array."""
+    array_in = da.arange(3)
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, da.core.Array)
+    output = output.compute()
+    assert np.ma.isMaskedArray(output)
+    np.testing.assert_equal(output, [0, 1, 4])
+
+
+def test_map_on_filled_da_mask():
+    """Test `_map_on_filled` with masked dask array."""
+    array_in = da.ma.masked_equal(da.arange(3) + 3, 3)
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, da.core.Array)
+    output = output.compute()
+    assert np.ma.isMaskedArray(output)
+    np.testing.assert_equal(output, [3, 16, 25])
+    np.testing.assert_equal(output.mask, [True, False, False])
+
+
+def test_map_on_filled_da_mask_not_used():
+    """Test `_map_on_filled` with masked dask array."""
+    array_in = da.ma.masked_equal(da.arange(3), 10)
+    output = _map_on_filled(lambda x: x**2, array_in)
+    assert isinstance(output, da.core.Array)
+    output = output.compute()
+    assert np.ma.isMaskedArray(output)
+    np.testing.assert_allclose(output, [0, 1, 4])
+    np.testing.assert_equal(output.mask, [False, False, False])
+
+
 ALT_COORD = iris.coords.AuxCoord([0.0], bounds=[[-100.0, 500.0]],
                                  standard_name='altitude', units='m')
+ALT_COORD_MASKED = ALT_COORD.copy(np.ma.masked_equal([0.0], 0.0))
 ALT_COORD_NB = iris.coords.AuxCoord([0.0], standard_name='altitude', units='m')
 ALT_COORD_KM = iris.coords.AuxCoord([0.0], bounds=[[-0.1, 0.5]],
                                     var_name='alt', long_name='altitude',
                                     standard_name='altitude', units='km')
 P_COORD = iris.coords.AuxCoord([101325.0], bounds=[[102532.0, 95460.8]],
                                standard_name='air_pressure', units='Pa')
+P_COORD_MASKED = P_COORD.copy(np.ma.masked_equal([0.0], 0.0))
 P_COORD_NB = iris.coords.AuxCoord([101325.0], standard_name='air_pressure',
                                   units='Pa')
 CUBE_ALT = iris.cube.Cube([1.0], var_name='x',
                           aux_coords_and_dims=[(ALT_COORD, 0)])
+CUBE_ALT_MASKED = iris.cube.Cube([1.0], var_name='x',
+                                 aux_coords_and_dims=[(ALT_COORD_MASKED, 0)])
 CUBE_ALT_NB = iris.cube.Cube([1.0], var_name='x',
                              aux_coords_and_dims=[(ALT_COORD_NB, 0)])
 CUBE_ALT_KM = iris.cube.Cube([1.0], var_name='x',
@@ -123,6 +209,7 @@ def test_add_aux_coords_from_cubes(coord_dict, output):
 
 TEST_ADD_PLEV_FROM_ALTITUDE = [
     (CUBE_ALT.copy(), P_COORD.copy()),
+    (CUBE_ALT_MASKED.copy(), P_COORD_MASKED.copy()),
     (CUBE_ALT_NB.copy(), P_COORD_NB.copy()),
     (CUBE_ALT_KM.copy(), P_COORD.copy()),
     (iris.cube.Cube(0.0), None),
@@ -142,7 +229,24 @@ def test_add_plev_from_altitude(cube, output):
     assert not cube.coords('air_pressure')
     add_plev_from_altitude(cube)
     air_pressure_coord = cube.coord('air_pressure')
-    assert air_pressure_coord == output
+    metadata_list = [
+        'var_name',
+        'standard_name',
+        'long_name',
+        'units',
+        'attributes',
+    ]
+    for attr in metadata_list:
+        assert getattr(air_pressure_coord, attr) == getattr(output, attr)
+    np.testing.assert_allclose(
+        air_pressure_coord.points, output.points, atol=1e-7
+    )
+    if output.bounds is None:
+        assert air_pressure_coord.bounds is None
+    else:
+        np.testing.assert_allclose(
+            air_pressure_coord.bounds, output.bounds, rtol=1e-3
+        )
     assert cube.coords('altitude')
 
 
@@ -152,6 +256,8 @@ def test_add_plev_from_altitude(cube, output):
                                    long_name='pressure', units='hPa')
 CUBE_PLEV = iris.cube.Cube([1.0], var_name='x',
                            aux_coords_and_dims=[(P_COORD, 0)])
+CUBE_PLEV_MASKED = iris.cube.Cube([1.0], var_name='x',
+                                  aux_coords_and_dims=[(P_COORD_MASKED, 0)])
 CUBE_PLEV_NB = iris.cube.Cube([1.0], var_name='x',
                               aux_coords_and_dims=[(P_COORD_NB, 0)])
 CUBE_PLEV_HPA = iris.cube.Cube([1.0], var_name='x',
@@ -160,6 +266,7 @@ def test_add_plev_from_altitude(cube, output):
 
 TEST_ADD_ALTITUDE_FROM_PLEV = [
     (CUBE_PLEV.copy(), ALT_COORD.copy()),
+    (CUBE_PLEV_MASKED.copy(), ALT_COORD_MASKED.copy()),
     (CUBE_PLEV_NB.copy(), ALT_COORD_NB.copy()),
     (CUBE_PLEV_HPA.copy(), ALT_COORD.copy()),
     (iris.cube.Cube(0.0), None),
diff --git a/tests/integration/preprocessor/_regrid/test_extract_location.py b/tests/integration/preprocessor/_regrid/test_extract_location.py
index 5e63db83f3..15c1ffb417 100644
--- a/tests/integration/preprocessor/_regrid/test_extract_location.py
+++ b/tests/integration/preprocessor/_regrid/test_extract_location.py
@@ -1,4 +1,6 @@
 """Integration tests for :func:`esmvalcore.preprocessor.extract_location."""
+import ssl
+from unittest.mock import patch
 
 import iris
 import iris.fileformats
@@ -14,17 +16,13 @@ def mocked_geopy_geocoders_nominatim(mocker):
     """Mock :class:`geopy.geocoders.Nominatim`.
 
     See https://github.com/ESMValGroup/ESMValCore/issues/1982.
-
     """
     mocked_nominatim = mocker.patch(
-        'esmvalcore.preprocessor._regrid.Nominatim', autospec=True
-    )
-    geolocation_penacaballera = mocker.Mock(
-        latitude=40.3442754, longitude=-5.8606859
-    )
+        'esmvalcore.preprocessor._regrid.Nominatim', autospec=True)
+    geolocation_penacaballera = mocker.Mock(latitude=40.3442754,
+                                            longitude=-5.8606859)
     mocked_nominatim.return_value.geocode.side_effect = (
-        lambda x: geolocation_penacaballera if x == 'Peñacaballera' else None
-    )
+        lambda x: geolocation_penacaballera if x == 'Peñacaballera' else None)
 
 
 @pytest.fixture
@@ -96,9 +94,7 @@ def test_no_location_parameter(test_cube):
     """Test if no location supplied."""
     msg = "Location needs to be specified."
     with pytest.raises(ValueError, match=msg):
-        extract_location(test_cube,
-                         scheme='nearest',
-                         location=None)
+        extract_location(test_cube, scheme='nearest', location=None)
 
 
 def test_no_scheme_parameter(test_cube):
@@ -108,3 +104,14 @@ def test_no_scheme_parameter(test_cube):
         extract_location(test_cube,
                          scheme=None,
                          location='Calvitero,Candelario')
+
+
+@patch("esmvalcore.preprocessor._regrid.ssl.create_default_context")
+def test_create_default_ssl_context_raises_exception(mock_create, test_cube):
+    """Test the original way 'extract_location' worked before adding the
+    default SSL context, see
+    https://github.com/ESMValGroup/ESMValCore/issues/2012 for more
+    information."""
+    mock_create.side_effect = ssl.SSLSyscallError
+    extract_location(test_cube, scheme="nearest", location="Peñacaballera")
+    mock_create.assert_called_once()
diff --git a/tests/sample_data/multimodel_statistics/test_multimodel.py b/tests/sample_data/multimodel_statistics/test_multimodel.py
index f69c424d3d..28b7640e6c 100644
--- a/tests/sample_data/multimodel_statistics/test_multimodel.py
+++ b/tests/sample_data/multimodel_statistics/test_multimodel.py
@@ -10,6 +10,7 @@
 import iris
 import numpy as np
 import pytest
+from iris.coords import AuxCoord
 
 from esmvalcore.preprocessor import extract_time
 from esmvalcore.preprocessor._multimodel import multi_model_statistics
@@ -156,13 +157,14 @@ def calendar(cube):
     return cube_dict
 
 
-def multimodel_test(cubes, statistic, span):
+def multimodel_test(cubes, statistic, span, **kwargs):
     """Run multimodel test with some simple checks."""
     statistics = [statistic]
 
     result = multi_model_statistics(products=cubes,
                                     statistics=statistics,
-                                    span=span)
+                                    span=span,
+                                    **kwargs)
     assert isinstance(result, dict)
     assert statistic in result
 
@@ -279,21 +281,21 @@ def test_multimodel_regression_day_proleptic_gregorian(
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_no_vertical_dimension(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_no_vertical_dimension(timeseries_cubes_month, span):
     """Test statistic without vertical dimension using monthly data."""
-    span = 'full'
     cubes = [cube[:, 0] for cube in timeseries_cubes_month]
     multimodel_test(cubes, span=span, statistic='mean')
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_merge_error(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_merge_error(timeseries_cubes_month, span):
     """Test statistic with slightly different vertical coordinates.
 
     See https://github.com/ESMValGroup/ESMValCore/issues/956.
 
     """
-    span = 'full'
     cubes = timeseries_cubes_month
     msg = (
         "Multi-model statistics failed to merge input cubes into a single "
@@ -304,22 +306,24 @@ def test_multimodel_merge_error(timeseries_cubes_month):
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_only_time_dimension(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_only_time_dimension(timeseries_cubes_month, span):
     """Test statistic without only the time dimension using monthly data."""
-    span = 'full'
     cubes = [cube[:, 0, 0, 0] for cube in timeseries_cubes_month]
     multimodel_test(cubes, span=span, statistic='mean')
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_no_time_dimension(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_no_time_dimension(timeseries_cubes_month, span):
     """Test statistic without time dimension using monthly data.
 
-    Also remove air_pressure dimensions since this slightly differs across
-    cubes. See https://github.com/ESMValGroup/ESMValCore/issues/956.
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
 
     """
-    span = 'full'
     cubes = [cube[0, 0] for cube in timeseries_cubes_month]
 
     result = multimodel_test(cubes, span=span, statistic='mean')['mean']
@@ -327,9 +331,9 @@ def test_multimodel_no_time_dimension(timeseries_cubes_month):
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_scalar_cubes(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_scalar_cubes(timeseries_cubes_month, span):
     """Test statistic with scalar cubes."""
-    span = 'full'
     cubes = [cube[0, 0, 0, 0] for cube in timeseries_cubes_month]
 
     result = multimodel_test(cubes, span=span, statistic='mean')['mean']
@@ -338,14 +342,16 @@ def test_multimodel_scalar_cubes(timeseries_cubes_month):
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_0d_and_1d_time_dimensions(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_0d_1d_time_no_ignore_scalars(timeseries_cubes_month, span):
     """Test statistic fail on 0D and 1D time dimension using monthly data.
 
-    Also remove air_pressure dimensions since this slightly differs across
-    cubes. See https://github.com/ESMValGroup/ESMValCore/issues/956.
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
 
     """
-    span = 'full'
     cubes = [cube[:, 0] for cube in timeseries_cubes_month]  # remove Z-dim
     cubes[1] = cubes[1][0]  # use 0D time dim for one cube
 
@@ -355,14 +361,41 @@ def test_multimodel_0d_and_1d_time_dimensions(timeseries_cubes_month):
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_only_some_time_dimensions(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_0d_1d_time_ignore_scalars(timeseries_cubes_month, span):
+    """Test statistic fail on 0D and 1D time dimension using monthly data.
+
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
+
+    """
+    cubes = [cube[:, 0] for cube in timeseries_cubes_month]  # remove Z-dim
+    cubes[1] = cubes[1][0]  # use 0D time dim for one cube
+
+    msg = (
+        "Multi-model statistics failed to merge input cubes into a single "
+        "array: some cubes have a 'time' dimension, some do not have a 'time' "
+        "dimension."
+    )
+    with pytest.raises(ValueError, match=msg):
+        multimodel_test(
+            cubes, span=span, statistic='mean', ignore_scalar_coords=True
+        )
+
+
+@pytest.mark.use_sample_data
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_only_some_time_dimensions(timeseries_cubes_month, span):
     """Test statistic fail if only some cubes have time dimension.
 
-    Also remove air_pressure dimensions since this slightly differs across
-    cubes. See https://github.com/ESMValGroup/ESMValCore/issues/956.
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
 
     """
-    span = 'full'
     cubes = [cube[:, 0] for cube in timeseries_cubes_month]  # remove Z-dim
 
     # Remove time dimension for one cube
@@ -379,14 +412,16 @@ def test_multimodel_only_some_time_dimensions(timeseries_cubes_month):
 
 
 @pytest.mark.use_sample_data
-def test_multimodel_0d_different_time_dimensions(timeseries_cubes_month):
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_diff_scalar_time_fail(timeseries_cubes_month, span):
     """Test statistic fail on different scalar time dimensions.
 
-    Also remove air_pressure dimensions since this slightly differs across
-    cubes. See https://github.com/ESMValGroup/ESMValCore/issues/956.
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
 
     """
-    span = 'full'
     cubes = [cube[0, 0] for cube in timeseries_cubes_month]
 
     # Use different scalar time point and bounds for one cube
@@ -396,3 +431,76 @@ def test_multimodel_0d_different_time_dimensions(timeseries_cubes_month):
     msg = "Tried to align cubes in multi-model statistics, but failed for cube"
     with pytest.raises(ValueError, match=msg):
         multimodel_test(cubes, span=span, statistic='mean')
+
+
+@pytest.mark.use_sample_data
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_diff_scalar_time_ignore(timeseries_cubes_month, span):
+    """Ignore different scalar time dimensions.
+
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
+
+    """
+    cubes = [cube[0, 0] for cube in timeseries_cubes_month]
+
+    # Use different scalar time point and bounds for one cube
+    cubes[1].coord('time').points = 20.0
+    cubes[1].coord('time').bounds = [0.0, 40.0]
+
+    result = multimodel_test(
+        cubes, span=span, statistic='mean', ignore_scalar_coords=True
+    )['mean']
+    assert result.shape == (3, 2)
+
+
+@pytest.mark.use_sample_data
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_ignore_scalar_coords(timeseries_cubes_month, span):
+    """Test statistic does not fail on different scalar coords when ignored.
+
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
+
+    """
+    cubes = [cube[0, 0] for cube in timeseries_cubes_month]
+    for (idx, cube) in enumerate(cubes):
+        aux_coord = AuxCoord(0.0, var_name=f'name_{idx}')
+        cube.add_aux_coord(aux_coord, ())
+
+    result = multimodel_test(
+        cubes, span=span, statistic='mean', ignore_scalar_coords=True
+    )['mean']
+    assert result.shape == (3, 2)
+
+    # Make sure that the input cubes still contain the scalar coords
+    for (idx, cube) in enumerate(cubes):
+        assert cube.coord(var_name=f'name_{idx}', dimensions=())
+
+
+@pytest.mark.use_sample_data
+@pytest.mark.parametrize('span', SPAN_PARAMS)
+def test_multimodel_do_not_ignore_scalar_coords(timeseries_cubes_month, span):
+    """Test statistic fail on different scalar coords.
+
+    Note: we collapse the air_pressure dimension here (by selecting only its
+    first value) since the original coordinate differs slightly across cubes
+    and leads to merge errors. See also
+    https://github.com/ESMValGroup/ESMValCore/issues/956.
+
+    """
+    cubes = [cube[0, 0] for cube in timeseries_cubes_month]
+    for (idx, cube) in enumerate(cubes):
+        aux_coord = AuxCoord(0.0, var_name=f'name_{idx}')
+        cube.add_aux_coord(aux_coord, ())
+
+    msg = (
+        "Multi-model statistics failed to merge input cubes into a single "
+        "array"
+    )
+    with pytest.raises(ValueError, match=msg):
+        multimodel_test(cubes, span=span, statistic='mean')
diff --git a/tests/unit/cmor/test_table.py b/tests/unit/cmor/test_table.py
index 32239f7a96..f7dcc880cd 100644
--- a/tests/unit/cmor/test_table.py
+++ b/tests/unit/cmor/test_table.py
@@ -10,67 +10,85 @@ class TestVariableInfo(unittest.TestCase):
 
     def setUp(self):
         """Prepare for testing."""
+        self.info = VariableInfo('table_type', 'var')
         self.value = 'value'
+        self.coords = {
+            'dim0': CoordinateInfo('dim0'),
+            'dim1': CoordinateInfo('dim1'),
+            'dim2': CoordinateInfo('dim2'),
+        }
 
     def test_constructor(self):
         """Test basic constructor."""
-        info = VariableInfo('table_type', 'var')
-        self.assertEqual('table_type', info.table_type)
-        self.assertEqual('var', info.short_name)
+        self.assertEqual('table_type', self.info.table_type)
+        self.assertEqual('var', self.info.short_name)
 
     def test_read_empty_dictionary(self):
         """Test read empty dict."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({}, '')
-        self.assertEqual('', info.standard_name)
+        self.info.read_json({}, '')
+        self.assertEqual('', self.info.standard_name)
 
     def test_read_standard_name(self):
         """Test standard_name."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'standard_name': self.value}, '')
-        self.assertEqual(info.standard_name, self.value)
+        self.info.read_json({'standard_name': self.value}, '')
+        self.assertEqual(self.info.standard_name, self.value)
 
     def test_read_long_name(self):
         """Test long_name."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'long_name': self.value}, '')
-        self.assertEqual(info.long_name, self.value)
+        self.info.read_json({'long_name': self.value}, '')
+        self.assertEqual(self.info.long_name, self.value)
 
     def test_read_units(self):
         """Test units."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'units': self.value}, '')
-        self.assertEqual(info.units, self.value)
+        self.info.read_json({'units': self.value}, '')
+        self.assertEqual(self.info.units, self.value)
 
     def test_read_valid_min(self):
         """Test valid_min."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'valid_min': self.value}, '')
-        self.assertEqual(info.valid_min, self.value)
+        self.info.read_json({'valid_min': self.value}, '')
+        self.assertEqual(self.info.valid_min, self.value)
 
     def test_read_valid_max(self):
         """Test valid_max."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'valid_max': self.value}, '')
-        self.assertEqual(info.valid_max, self.value)
+        self.info.read_json({'valid_max': self.value}, '')
+        self.assertEqual(self.info.valid_max, self.value)
 
     def test_read_positive(self):
         """Test positive."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'positive': self.value}, '')
-        self.assertEqual(info.positive, self.value)
+        self.info.read_json({'positive': self.value}, '')
+        self.assertEqual(self.info.positive, self.value)
 
     def test_read_frequency(self):
-        """Test positive."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({'frequency': self.value}, '')
-        self.assertEqual(info.frequency, self.value)
+        """Test frequency."""
+        self.info.read_json({'frequency': self.value}, '')
+        self.assertEqual(self.info.frequency, self.value)
 
     def test_read_default_frequency(self):
-        """Test positive."""
-        info = VariableInfo('table_type', 'var')
-        info.read_json({}, self.value)
-        self.assertEqual(info.frequency, self.value)
+        """Test frequency."""
+        self.info.read_json({}, self.value)
+        self.assertEqual(self.info.frequency, self.value)
+
+    def test_has_coord_with_standard_name_empty(self):
+        """Test `has_coord_with_standard_name`."""
+        assert self.info.has_coord_with_standard_name('time') is False
+
+    def test_has_coord_with_standard_name_false(self):
+        """Test `has_coord_with_standard_name`."""
+        self.info.coordinates = self.coords
+        assert self.info.has_coord_with_standard_name('time') is False
+
+    def test_has_coord_with_standard_name_true(self):
+        """Test `has_coord_with_standard_name`."""
+        self.info.coordinates = self.coords
+        self.info.coordinates['dim0'].standard_name = 'time'
+        assert self.info.has_coord_with_standard_name('time') is True
+
+    def test_has_coord_with_standard_name_multiple(self):
+        """Test `has_coord_with_standard_name`."""
+        self.info.coordinates = self.coords
+        self.info.coordinates['dim1'].standard_name = 'time'
+        self.info.coordinates['dim2'].standard_name = 'time'
+        assert self.info.has_coord_with_standard_name('time') is True
 
 
 class TestCoordinateInfo(unittest.TestCase):
diff --git a/tests/unit/preprocessor/_mask/test_mask_multimodel.py b/tests/unit/preprocessor/_mask/test_mask_multimodel.py
index 1ba805872f..1e9416fe39 100644
--- a/tests/unit/preprocessor/_mask/test_mask_multimodel.py
+++ b/tests/unit/preprocessor/_mask/test_mask_multimodel.py
@@ -25,6 +25,7 @@ def __init__(self, cubes, filename, **kwargs):
         self.cubes = cubes
         self.mock_ancestors = set()
         self.wasderivedfrom = mock.Mock(side_effect=self.mock_ancestors.add)
+        self.copy_provenance = mock.Mock(return_value=self)
 
 
 def assert_array_equal(array_1, array_2):
@@ -185,6 +186,7 @@ def test_multimodel_mask_products_1d(cube_1d):
     assert out_products[1].filename == 'B'
     assert out_products[1].cubes == iris.cube.CubeList([cube_1d, cube_1d])
     for product in out_products:
+        product.copy_provenance.assert_not_called()
         product.wasderivedfrom.assert_not_called()
         assert product.mock_ancestors == set()
 
@@ -199,8 +201,10 @@ def test_multimodel_mask_products_1d(cube_1d):
     assert_array_equal(out_products[0].cubes[0].data, m_array)
     assert out_products[1].filename == 'B'
     assert out_products[1].cubes == iris.cube.CubeList([cube_masked])
+    out_products[0].copy_provenance.assert_not_called()
     out_products[0].wasderivedfrom.assert_called_once_with(prod_b)
     assert out_products[0].mock_ancestors == {prod_b}
+    out_products[1].copy_provenance.assert_called_once_with()
     out_products[1].wasderivedfrom.assert_not_called()
     assert out_products[1].mock_ancestors == set()
 
@@ -218,6 +222,7 @@ def test_multimodel_mask_products_5d(cube_5d):
     assert out_products[1].filename == 'B'
     assert out_products[1].cubes == iris.cube.CubeList([cube_5d, cube_5d])
     for product in out_products:
+        product.copy_provenance.assert_not_called()
         product.wasderivedfrom.assert_not_called()
         assert product.mock_ancestors == set()
 
@@ -238,10 +243,13 @@ def test_multimodel_mask_products_5d(cube_5d):
     for product in out_products:
         assert len(product.cubes) == 1
         assert_array_equal(product.cubes[0].data, expected_data)
+    out_products[0].copy_provenance.assert_not_called()
     assert out_products[0].wasderivedfrom.call_count == 2
     assert out_products[0].mock_ancestors == {prod_b, prod_c}
+    out_products[1].copy_provenance.assert_called_once_with()
     out_products[1].wasderivedfrom.assert_called_once_with(prod_c)
     assert out_products[1].mock_ancestors == {prod_c}
+    out_products[2].copy_provenance.assert_called_once_with()
     out_products[2].wasderivedfrom.assert_called_once_with(prod_b)
     assert out_products[2].mock_ancestors == {prod_b}
 
@@ -307,9 +315,12 @@ def test_mask_multimodel(cube_2d, cube_4d):
     for product in out_products:
         assert len(product.cubes) == 1
         assert_array_equal(product.cubes[0].data, expected_data)
+    out_products[0].copy_provenance.assert_not_called()
     assert out_products[0].wasderivedfrom.call_count == 2
     assert out_products[0].mock_ancestors == {prod_b, prod_c}
+    out_products[1].copy_provenance.assert_called_once_with()
     out_products[1].wasderivedfrom.assert_called_once_with(prod_c)
     assert out_products[1].mock_ancestors == {prod_c}
+    out_products[2].copy_provenance.assert_called_once_with()
     out_products[2].wasderivedfrom.assert_called_once_with(prod_b)
     assert out_products[2].mock_ancestors == {prod_b}
diff --git a/tests/unit/preprocessor/_multimodel/test_multimodel.py b/tests/unit/preprocessor/_multimodel/test_multimodel.py
index 52f72554e4..55326ab642 100644
--- a/tests/unit/preprocessor/_multimodel/test_multimodel.py
+++ b/tests/unit/preprocessor/_multimodel/test_multimodel.py
@@ -524,21 +524,8 @@ def test_combine_inconsistent_var_names_fail():
         mm._combine(cubes)
 
 
-def test_combine_with_scalar_coords_to_remove():
-    """Test _combine with scalar coordinates that should be removed."""
-    cubes = CubeList(generate_cube_from_dates('monthly') for _ in range(3))
-    scalar_coord_0 = AuxCoord(0.0, standard_name='height', units='m')
-    scalar_coord_1 = AuxCoord(1.0, long_name='Test scalar coordinate')
-    cubes[0].add_aux_coord(scalar_coord_0, ())
-    cubes[1].add_aux_coord(scalar_coord_1, ())
-
-    merged_cube = mm._combine(cubes, ignore_scalar_coords=True)
-    assert merged_cube.shape == (3, 3)
-    assert not merged_cube.coords(dimensions=())
-
-
-def test_combine_with_scalar_coords_to_remove_fail():
-    """Test _combine with scalar coordinates that should not be removed."""
+def test_combine_differing_scalar_coords_fail():
+    """Test _combine with differing scalar coordinates."""
     cubes = CubeList(generate_cube_from_dates('monthly') for _ in range(2))
     scalar_coord_0 = AuxCoord(0.0, standard_name='height', units='m')
     cubes[0].add_aux_coord(scalar_coord_0, ())