diff --git a/.github/workflows/conda-lock.yml b/.github/workflows/conda-lock.yml
index e236ed01d..f83b4d41e 100644
--- a/.github/workflows/conda-lock.yml
+++ b/.github/workflows/conda-lock.yml
@@ -47,12 +47,12 @@ jobs:
             # Developer lock files.
             cp "requirements/environment.yml" "${{ runner.temp }}/${py_ver}_dev_environment.yml"
             echo -e "\n  - python = $py_ver" >> "${{ runner.temp }}/${py_ver}_dev_environment.yml"
-            conda-lock --channel conda-forge --kind explicit --file "${{ runner.temp }}/${py_ver}_dev_environment.yml" --platform linux-64 --filename-template "requirements/locks/py$(echo $py_ver | sed 's/\.//')-lock-linux-64.txt" &
+            conda-lock --channel conda-forge --kind explicit --file "${{ runner.temp }}/${py_ver}_dev_environment.yml" --platform linux-64 --filename-template "requirements/locks/py$(echo $py_ver | sed 's/\.//')-lock-linux-64.txt"
 
             # Workflow lock files.
             cp "cset-workflow/requirements/environment.yml" "${{ runner.temp }}/${py_ver}_workflow_environment.yml"
             echo -e "\n  - python = $py_ver" >> "${{ runner.temp }}/${py_ver}_workflow_environment.yml"
-            conda-lock --channel conda-forge --kind explicit --file "${{ runner.temp }}/${py_ver}_workflow_environment.yml" --platform linux-64 --filename-template "cset-workflow/requirements/locks/py$(echo $py_ver | sed 's/\.//')-lock-linux-64.txt" &
+            conda-lock --channel conda-forge --kind explicit --file "${{ runner.temp }}/${py_ver}_workflow_environment.yml" --platform linux-64 --filename-template "cset-workflow/requirements/locks/py$(echo $py_ver | sed 's/\.//')-lock-linux-64.txt"
           done
           wait
 
@@ -66,28 +66,50 @@ jobs:
           done
 
       - name: Generate GitHub App Token
-        uses: actions/create-github-app-token@5d869da34e18e7287c1daad50e0b8ea0f506ce69
+        uses: actions/create-github-app-token@c1a285145b9d317df6ced56c09f525b5c2b6f755
         id: app-token
         with:
           app-id: ${{ secrets.AUTH_APP_ID }}
           private-key: ${{ secrets.AUTH_APP_PRIVATE_KEY }}
 
       - name: Create pull requests
+        env:
+          source_ref: ${{ github.ref }}
+          source_ref_type: ${{ github.ref_type }}
         run: |
           shopt -s globstar
+
+          # Display any changes in the log.
           git diff --name-status
-          if $(sha256sum --status -c ${{ runner.temp }}/lock_file_hashes); then
+
+          # Exit early if there are no changes.
+          if $(sha256sum --status -c ${{ runner.temp }}/lock_file_hashes)
+          then
             echo "Lock files unchanged. Skipping pull request..."
             exit 0
           fi
-          # Update lock_file_hashes so pushed branch name is unique.
-          sha256sum **/locks/*.txt > ${{ runner.temp }}/lock_file_hashes
+
+          # Commit changed lockfiles.
           git add **/locks/*.txt
           git commit -m "[CI] Update conda lock files"
+
+          # Update lock_file_hashes so pushed branch name is unique.
+          sha256sum **/locks/*.txt > ${{ runner.temp }}/lock_file_hashes
           remote_branch_name="conda-lock-$(sha256sum ${{ runner.temp }}/lock_file_hashes | head -c 8)"
+
+          # If running from a branch target the created PR at that branch.
+          if [[ $source_ref_type = branch ]]
+          then
+            base_branch_name="$source_ref"
+          else
+            base_branch_name="main"
+          fi
+
+          # Push branch to GitHub.
           git push --set-upstream origin "conda-lock-files:${remote_branch_name}"
+
           # Create PR on GitHub using GitHub REST API.
-          request_body='{"title":"[CI] Update conda lock files","body":"Created automatically by GitHub Actions.","base":"main","head":"'"${remote_branch_name}"'"}'
+          request_body='{"title":"[CI] Update conda lock files","body":"Created automatically by GitHub Actions.","base":"'"${base_branch_name}"'","head":"'"${remote_branch_name}"'"}'
           curl -LsS --fail-with-body \
             -X POST \
             -H "Accept: application/vnd.github+json" \
diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 5a082275c..367f75836 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -20,7 +20,7 @@ jobs:
 
       - name: Cache conda environment
         id: conda-env-cache
-        uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a
+        uses: actions/cache@1bd1e32a3bdc45362d1e726936510720a7c30a57
         with:
           key: conda|${{runner.os}}-${{runner.arch}}|${{hashFiles('requirements/locks/py312-lock-linux-64.txt')}}
           path: |
@@ -48,7 +48,7 @@ jobs:
           sphinx-build -b html --color "docs/source" "docs/build/html"
           echo '::endgroup::'
 
-      - uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
+      - uses: actions/upload-artifact@6f51ac03b9356f520e9adb1b1b7802705f340c2b
         with:
           name: html-docs
           path: docs/build/html/
diff --git a/.github/workflows/pre-commit-update.yml b/.github/workflows/pre-commit-update.yml
index 0777119f1..2989555c8 100644
--- a/.github/workflows/pre-commit-update.yml
+++ b/.github/workflows/pre-commit-update.yml
@@ -35,7 +35,7 @@ jobs:
           pre-commit autoupdate --freeze
 
       - name: Generate GitHub App Token
-        uses: actions/create-github-app-token@5d869da34e18e7287c1daad50e0b8ea0f506ce69
+        uses: actions/create-github-app-token@c1a285145b9d317df6ced56c09f525b5c2b6f755
         id: app-token
         with:
           app-id: ${{ secrets.AUTH_APP_ID }}
diff --git a/.github/workflows/pull_request_checks.yml b/.github/workflows/pull_request_checks.yml
index 101abf38e..7ee9eb490 100644
--- a/.github/workflows/pull_request_checks.yml
+++ b/.github/workflows/pull_request_checks.yml
@@ -24,7 +24,7 @@ jobs:
 
       - name: Cache conda environment
         id: conda-env-cache
-        uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a
+        uses: actions/cache@1bd1e32a3bdc45362d1e726936510720a7c30a57
         with:
           key: conda|${{runner.os}}-${{runner.arch}}|${{ hashFiles(format('requirements/locks/{0}-lock-linux-64.txt', matrix.py-ver)) }}
           path: |
@@ -44,11 +44,11 @@ jobs:
         run: |
           # Install package and run pytest.
           echo '::group::Installing local package'
-          python3 -m pip install -e .
+          python3 -m pip install .
           echo '::endgroup::'
           pytest --verbose --cov --cov-append --cov-config=pyproject.toml
           mv .coverage ".coverage.${{ matrix.py-ver }}"
-      - uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
+      - uses: actions/upload-artifact@6f51ac03b9356f520e9adb1b1b7802705f340c2b
         with:
           name: coverage-data-${{ matrix.py-ver }}
           path: .coverage.*
@@ -104,7 +104,7 @@ jobs:
         uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b
         with:
           python-version: "3.x"
-      - uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a
+      - uses: actions/cache@1bd1e32a3bdc45362d1e726936510720a7c30a57
         with:
           key: pre-commit|${{runner.os}}-${{runner.arch}}|${{ env.pythonLocation }}|${{ hashFiles('.pre-commit-config.yaml') }}
           path: ~/.cache/pre-commit
@@ -123,7 +123,7 @@ jobs:
         uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
       - name: Cache conda environment
         id: conda-env-cache
-        uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a
+        uses: actions/cache@1bd1e32a3bdc45362d1e726936510720a7c30a57
         with:
           key: conda|${{runner.os}}-${{runner.arch}}|${{hashFiles('requirements/locks/py312-lock-linux-64.txt')}}
           path: |
@@ -148,7 +148,7 @@ jobs:
           sphinx-build -b html --color -W --keep-going "docs/source" "docs/build/html"
           echo '::endgroup::'
       - name: Upload documentation artifact
-        uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
+        uses: actions/upload-artifact@6f51ac03b9356f520e9adb1b1b7802705f340c2b
         with:
           name: html-docs
           path: docs/build/html/
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index e359494ec..c1cee6080 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -27,7 +27,7 @@ jobs:
       - name: Build package
         run: python3 -m build
 
-      - uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
+      - uses: actions/upload-artifact@6f51ac03b9356f520e9adb1b1b7802705f340c2b
         with:
           name: packages
           path: dist/
diff --git a/.github/workflows/weekly-checks.yml b/.github/workflows/weekly-checks.yml
index 64b644ceb..807969916 100644
--- a/.github/workflows/weekly-checks.yml
+++ b/.github/workflows/weekly-checks.yml
@@ -14,7 +14,7 @@ jobs:
 
       - name: Cache conda environment
         id: conda-env-cache
-        uses: actions/cache@6849a6489940f00c2f30c0fb92c6274307ccb58a
+        uses: actions/cache@1bd1e32a3bdc45362d1e726936510720a7c30a57
         with:
           key: conda|${{runner.os}}-${{runner.arch}}|${{hashFiles('requirements/locks/py312-lock-linux-64.txt')}}
           path: |
@@ -44,7 +44,7 @@ jobs:
           echo '::group::Checking for broken hyperlinks'
           sphinx-build -b linkcheck --color -W --keep-going "docs/source" "docs/build/linkcheck"
           echo '::endgroup::'
-      - uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
+      - uses: actions/upload-artifact@6f51ac03b9356f520e9adb1b1b7802705f340c2b
         with:
           name: html-docs
           path: docs/build/html/
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 1093050b4..8065b3605 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -14,7 +14,7 @@ repos:
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: 859e42ab7d54544f32d4f73bbc2136a7d9094f54  # frozen: v0.8.1
+    rev: 89c421dff2e1026ba12cdb9ebd731f4a83aa8021  # frozen: v0.8.6
     hooks:
       - id: ruff
         args: [ --fix, --show-fixes, --exit-non-zero-on-fix ]
diff --git a/cset-workflow/includes/aoa_diag.cylc b/cset-workflow/includes/aoa_diag.cylc
new file mode 100644
index 000000000..e50e82d06
--- /dev/null
+++ b/cset-workflow/includes/aoa_diag.cylc
@@ -0,0 +1,19 @@
+{% if AOA_DIAG|default(False) %}
+{% for model in models %}
+{% for plev in AOA_PLEV %}
+[runtime]
+    [[aoa_diag_m{{model["number"]}}_plev{{plev}}]]
+    inherit = PROCESS
+    execution time limit = PT60M
+
+        [[[directives]]]
+        --mem=12000
+        --ntasks=12
+
+        [[[environment]]]
+        CSET_RECIPE_NAME = "ageofair.yaml"
+        CSET_ADDOPTS = "--AOA_PLEV={{plev}} --AOA_CYCLIC={{AOA_CYCLIC}} --MODEL_NAME='{{model["name"]}}'"
+        MODEL_NUMBER = {{model["number"]}}
+{% endfor %}
+{% endfor %}
+{% endif %}
diff --git a/cset-workflow/includes/plot_spatial_plevel_model_field.cylc b/cset-workflow/includes/plot_spatial_plevel_model_field.cylc
index 18b85b7d4..c85f60c0f 100644
--- a/cset-workflow/includes/plot_spatial_plevel_model_field.cylc
+++ b/cset-workflow/includes/plot_spatial_plevel_model_field.cylc
@@ -5,6 +5,8 @@
 [runtime]
     [[generic_plevel_spatial_plot_sequence_m{{model_number}}_{{sanitise_task_name(field)}}_lv{{sanitise_task_name(plevel)}}]]
     inherit = PROCESS
+        [[[directives]]]
+        --mem=4000
         [[[environment]]]
         CSET_RECIPE_NAME = "generic_plevel_spatial_plot_sequence.yaml"
         CSET_ADDOPTS = """
diff --git a/cset-workflow/meta/diagnostics/rose-meta.conf b/cset-workflow/meta/diagnostics/rose-meta.conf
index 36370eed1..f53192079 100644
--- a/cset-workflow/meta/diagnostics/rose-meta.conf
+++ b/cset-workflow/meta/diagnostics/rose-meta.conf
@@ -464,3 +464,45 @@ help=Set to True if you want a one-to-one line; false if not.
 type=python_boolean
 compulsory=true
 sort-key=qq1h
+
+[template variables=AOA_DIAG]
+ns=Diagnostics/Other
+title=Run age of air diagnostic on specified pressure levels.
+description=Run the age of air diagnostic on model data.
+help=The age of air diagnostic provides a qualtitative view of how old air is within
+     the domain, by calculating a back trajectory at each grid point at each lead time
+     to determine when air entered through the lateral boundary. This is useful for
+     diagnosing how quickly air ventilates the domain, depending on its size and the
+     prevailing meteorology.
+     The diagnostic uses the u, v and w components of wind, along with geopotential height to
+     perform the back trajectory. Data is first regridded to 0.5 degrees.
+     Note: the code here does not consider sub-grid transport, and only uses the postprocessed
+     velocity fields and geopotential height. Its applicability is for large-scale flow O(1000 km),
+     and not small scale flow where mixing is likely to play a larger role.
+type=python_boolean
+compulsory=true
+trigger=template variables=AOA_PLEV: True;
+        template variables=AOA_CYCLIC: True;
+sort-key=aoa1
+
+[template variables=AOA_PLEV]
+ns=Diagnostics/Other
+title=AOA: Pressure Levels
+description=List of pressure levels to calculate the age of air diagnostic.
+help=The pressure levels must be specified in hPa, where the variables (U,V,W,Z)
+     exist on the pressure level.
+type=python_list
+compulsory=true
+sort-key=aoa2
+
+[template variables=AOA_CYCLIC]
+ns=Diagnostics/Other
+title=AOA: Use Cyclic Option
+description=If True, LAM is considered cyclic in the east/west direction.
+help=This option when True, will allow back trajectories to advect through the east/
+     west boundary and continue through the other side of the domain. This is useful
+     for large domains such as the cyclic tropical channel, where there is no east/
+     west boundary.
+type=python_boolean
+compulsory=true
+sort-key=aoa3
diff --git a/cset-workflow/meta/rose-meta.conf b/cset-workflow/meta/rose-meta.conf
index da61317af..b81e15e5c 100644
--- a/cset-workflow/meta/rose-meta.conf
+++ b/cset-workflow/meta/rose-meta.conf
@@ -50,19 +50,12 @@ help=This is passed through to the plotting operators and sets the resolution
 type=integer
 compulsory=true
 
-[template variables=WEB_DIR]
-ns=General
-description=Path to directory that is served by the webserver.
-help=This will probably be under $HOME/public_html or similar. You will want to
-    ensure a subfolder is used as multiple files will be written here.
-type=quoted
-compulsory=true
-sort-key=web2
-
 [template variables=WEB_ADDR]
 ns=General
 title=Website address
-description=The address at which the website is served.
+description=The address at which the website is served. It should be specified
+           to the directory level above WEB_DIR (e.g.
+           https://example.com/~username if WEB_DIR is $HOME/public_html/CSET).
 help=This should be the address where your public_html or equivalent is served.
     It might include a partial path, such as your username.
 
@@ -74,7 +67,8 @@ sort-key=web1
 [template variables=WEB_DIR]
 ns=General
 title=Web directory
-description=Path to directory that is served by the webserver.
+description=Path to directory that is served by the webserver
+           (e.g: $HOME/public_html/CSET).
 help=This will probably be under $HOME/public_html or similar. You will want to
     ensure a subfolder is used as it will be replaced with a symbolic link.
 
diff --git a/cset-workflow/requirements/locks/py310-lock-linux-64.txt b/cset-workflow/requirements/locks/py310-lock-linux-64.txt
index 8499c727d..6d9eff919 100644
--- a/cset-workflow/requirements/locks/py310-lock-linux-64.txt
+++ b/cset-workflow/requirements/locks/py310-lock-linux-64.txt
@@ -5,28 +5,28 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py310h5eaa309_0.conda#ca4d935c1715f95b6e86846ad1675a2b
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py310hf462985_0.conda#c31938674e4cda43617a4d70f99ffd0c
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py310hf462985_1.conda#c2d5289e6cbcecf2c549e01772fe5274
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py310h3788b33_0.conda#f993b13665fc2bb262b30217c815d137
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py310h89163eb_0.conda#b1f20c0aa91d0e67e773e67076f01cc6
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py310h89163eb_1.conda#c81251a712a36b477ed2330ec0e1a299
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -37,13 +37,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -57,108 +57,108 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda#30fd6e37fe21f86f4bd26d6ee73eeec7
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py310h89163eb_0.conda#5415555830a54d9b4a1307e3e9d942c7
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py310h68603db_2.conda#4a8c5dd75815384ddbc3aee99ccd7b50
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py310h89163eb_1.conda#8ce3f0332fd6de0d737e2911d329523f
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py310h68603db_0.conda#409498230a11a71578ed49d006165249
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py310ha75aee5_1.conda#48781b625a5c7701e04d222752cb2f62
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py310h5146f0f_100.conda#82a474392c02d35a969aaad569cbbca8
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py310hd6e36ab_0.conda#b67f4f02236b75765deec42f5cf2b35b
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py310h5146f0f_101.conda#3e17df8e4192431b85afc89a539f6c28
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py310h5851e9f_0.conda#d38cb65becc66134ed42a02e6155e8e0
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py310hfeaa1f3_0.conda#1947280342c7259b82a707e38ebc212e
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py310h7e6dc6c_0.conda#14d300b9e1504748e70cc6499a7b4d25
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py310h9a1d609_0.conda#9310fea0488c0baa6e8572bd6d08771a
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py310h2e9f774_0.conda#42a3ea3c283d930ae6d156b97ffe4740
-https://conda.anaconda.org/conda-forge/linux-64/python-3.10.15-h4a871b0_2_cpython.conda#98059097f62e97be9aed7ec904055825
+https://conda.anaconda.org/conda-forge/linux-64/python-3.10.16-he725a3c_1_cpython.conda#b887811a901b3aa622a92caf03bc8917
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py310ha75aee5_1.conda#8b430470d53744289cb5499bc99a6485
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-5_cp310.conda#2921c34715e74b3587b4cff4d36844f9
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py310ha75aee5_1.conda#0d4c5c76ae5f5aac6f0be419963a19dd
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py310ha75aee5_1.conda#7f029681ce0e35e0f592d1d645162b4e
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py310ha75aee5_0.conda#5883d4060b98ff88fb368ed0b332279a
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py310ha75aee5_1.conda#5774cc3497be5134eb3a36c4f5c7895b
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py310hfcf56fc_1.conda#d9b1b75a227dbc42f3fe0e8bc852b805
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py310hfa6ec8c_0.conda#5af85973838c580ab7f4f72008c8b237
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py310had3dfd6_2.conda#a4166b41e54d22e794859641b7cae2d0
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py310ha75aee5_1.conda#ee18e67b0bd283f6a75369936451d6ac
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_0.conda#9b36a51a94aa8d902ef49325116e17d2
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_2.conda#117cd49efc44bf3b3ac340b1b1346cd2
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_0.conda#5dd546fe99b44fda83963d15f84263b7
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda#04e691b9fadd93a8a9fad87a81d4fd8f
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_0.conda#bdb2f437ce62fd2f1fef9119a37a12d9
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/cset-workflow/requirements/locks/py311-lock-linux-64.txt b/cset-workflow/requirements/locks/py311-lock-linux-64.txt
index 2bb3a0f27..713fd9421 100644
--- a/cset-workflow/requirements/locks/py311-lock-linux-64.txt
+++ b/cset-workflow/requirements/locks/py311-lock-linux-64.txt
@@ -5,28 +5,28 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py311h7db5c69_0.conda#20ba399d57a2b5de789a5b24341481a1
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py311h9f3472d_0.conda#555b148cafbd96b658499060d5e11a65
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py311h9f3472d_1.conda#2c3c4f115d28ed9e001a271d5d8585aa
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py311hd18a35c_0.conda#351cb68d2081e249069748b6e60b3cd2
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py311h2dc5d0c_0.conda#8b056dbb53df32a9dbf1718a04dc4138
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py311h2dc5d0c_1.conda#04c0b385767445be8aefe0d4915cb747
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -37,13 +37,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -57,108 +57,108 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda#30fd6e37fe21f86f4bd26d6ee73eeec7
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py311h2dc5d0c_0.conda#15e4dadd59e93baad7275249f10b9472
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py311h2b939e6_2.conda#2e8401a7780e33e9ca76034d0ed24c3c
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py311h2dc5d0c_1.conda#6565a715337ae279e351d0abd8ffe88a
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py311h2b939e6_0.conda#79239585ea50c427415ef629534bb3aa
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py311h9ecbd09_1.conda#28d6b63784b350a2906dc264ad8c7f2a
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py311h7c29e4f_100.conda#11395670c4eeda7a60c13c313a83727f
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py311h71ddf71_0.conda#1b3c543b0cc96310bcf0b825d5a68cb1
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py311h7c29e4f_101.conda#d966f11d28c699da7e9de2aa2f323a4f
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py311hf916aec_0.conda#54a2d01ec2cfc01644f17d25978b0ecf
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py311h49e9ac3_0.conda#2bd3d0f839ec0d1eaca817c9d1feb7c2
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py311h1322bbf_0.conda#9f4f5593335f76c1dbf7381c11fe7155
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py311hf885082_0.conda#7ec06aad0aaf2bbb04b3e97eebb95a3e
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py311h0f98d5a_0.conda#22531205a97c116251713008d65dfefd
-https://conda.anaconda.org/conda-forge/linux-64/python-3.11.10-hc5c86c4_3_cpython.conda#9e1ad55c87368e662177661a998feed5
+https://conda.anaconda.org/conda-forge/linux-64/python-3.11.11-h9e4cc4f_1_cpython.conda#8387070aa413ce9a8cc35a509fae938b
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py311h9ecbd09_1.conda#b1796d741ca619dbacb79917b20e5a05
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-5_cp311.conda#139a8d40c8a2f430df31048949e450de
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py311h9ecbd09_1.conda#abeb54d40f439b86f75ea57045ab8496
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py311h9ecbd09_1.conda#d9098dd007b0394863c3462753d048bb
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py311h9ecbd09_0.conda#3046ddb88eac79761aa766a178b42f31
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py311h9ecbd09_1.conda#e56869fca385961323e43783b89bef66
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py311he9a78e4_1.conda#49ba89bf4d8a995efb99517d1c7aeb1e
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py311hc1ac118_0.conda#09e861917e6fb36c0cf30a49935cd4bd
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py311h2fdb869_2.conda#4c78235905053663d1c9e23df3f11b65
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py311h9ecbd09_1.conda#00895577e2b4c24dca76675ab1862551
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_0.conda#9b36a51a94aa8d902ef49325116e17d2
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_2.conda#117cd49efc44bf3b3ac340b1b1346cd2
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_0.conda#5dd546fe99b44fda83963d15f84263b7
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda#04e691b9fadd93a8a9fad87a81d4fd8f
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_0.conda#bdb2f437ce62fd2f1fef9119a37a12d9
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/cset-workflow/requirements/locks/py312-lock-linux-64.txt b/cset-workflow/requirements/locks/py312-lock-linux-64.txt
index 5c05479a5..8663276e2 100644
--- a/cset-workflow/requirements/locks/py312-lock-linux-64.txt
+++ b/cset-workflow/requirements/locks/py312-lock-linux-64.txt
@@ -5,28 +5,28 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py312hf9745cd_0.conda#ea213e31805199cb7d0da457b879ceed
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py312hc0a28a1_0.conda#8b5b812d4c18cb37bda7a7c8d3a6acb3
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py312hc0a28a1_1.conda#990033147b0a998e756eaaed6b28f48d
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py312h68727a3_0.conda#f5fbba0394ee45e9a64a73c2a994126a
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py312h178313f_0.conda#f404f4fb99ccaea68b00c1cc64fc1e68
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py312h178313f_1.conda#bc18c46eda4c2b29431981998507e723
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -37,13 +37,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -57,108 +57,108 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda#30fd6e37fe21f86f4bd26d6ee73eeec7
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py312h178313f_0.conda#a755704ea0e2503f8c227d84829a8e81
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py312hd3ec401_2.conda#2380c9ba933ffaac9ad16d8eac8e3318
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py312h178313f_1.conda#eb227c3e0bf58f5bd69c0532b157975b
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py312hd3ec401_0.conda#c27a17a8c54c0d35cf83bbc0de8f7f77
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py312h66e93f0_1.conda#5fef67f50126f40f5966a9451661280d
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py312ha728dd9_100.conda#8e932f27c4339835563f42d73b158d53
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py312h58c1407_0.conda#dfdbc12e6d81889ba4c494a23f23eba8
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py312ha728dd9_101.conda#7e41ca6012a6bf609539aec0dfee93f7
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py312h7e784f5_0.conda#6159cab400b61f38579a7692be5e630a
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py312h7b63e92_0.conda#385f46a4df6f97892503a841121a9acf
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py312h80c1187_0.conda#d3894405f05b2c0f351d5de3ae26fa9c
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py312h011e53f_0.conda#bad112802852496a8a8e41fd3ae9128d
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py312he630544_0.conda#427799f15b36751761941f4cbd7d780f
-https://conda.anaconda.org/conda-forge/linux-64/python-3.12.7-hc5c86c4_0_cpython.conda#0515111a9cdf69f83278f7c197db9807
+https://conda.anaconda.org/conda-forge/linux-64/python-3.12.8-h9e4cc4f_1_cpython.conda#7fd2fd79436d9b473812f14e86746844
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py312h66e93f0_1.conda#39aed2afe4d0cf76ab3d6b09eecdbea7
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda#0424ae29b104430108f5218a66db7260
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda#549e5930e768548a89c23f595dac5a95
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py312h66e93f0_1.conda#28ed869ade5601ee374934a31c9d628e
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py312h66e93f0_0.conda#b77952bccd6b8d5c46e2f54354b4296b
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py312h66e93f0_1.conda#532c3e5d0280be4fea52396ec1fa7d5d
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py312h62794b6_1.conda#b43233a9e2f62fb94affe5607ea79473
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py312h180e4f1_0.conda#66004839e9394a241b483436a9742845
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py312h391bc85_2.conda#eb476b4975ea28ac12ff469063a71f5d
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py312h66e93f0_1.conda#588486a61153f94c7c13816f7069e440
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_0.conda#9b36a51a94aa8d902ef49325116e17d2
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_2.conda#117cd49efc44bf3b3ac340b1b1346cd2
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_0.conda#5dd546fe99b44fda83963d15f84263b7
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda#04e691b9fadd93a8a9fad87a81d4fd8f
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_0.conda#bdb2f437ce62fd2f1fef9119a37a12d9
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/cset-workflow/requirements/locks/py313-lock-linux-64.txt b/cset-workflow/requirements/locks/py313-lock-linux-64.txt
index 05ca8d84a..71ac8f6cc 100644
--- a/cset-workflow/requirements/locks/py313-lock-linux-64.txt
+++ b/cset-workflow/requirements/locks/py313-lock-linux-64.txt
@@ -5,28 +5,28 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py313ha87cce1_0.conda#44c2091019480603a885aa01e7b710e7
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py313ha014f3b_0.conda#aecffd7a21d698e374487644ce67d6eb
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py313ha014f3b_1.conda#b20667f9b1d016c1141051a433f76dfc
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py313h33d0bda_0.conda#6b6768e7c585d7029f79a04cbc4cbff0
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py313h8060acc_0.conda#0ff3a44b54d02157f6e99074432b7396
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py313h8060acc_1.conda#f89b4b415c5be34d24f74f30954792b5
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -37,13 +37,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -57,105 +57,105 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
 https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-h4bc722e_0.conda#aeb98fdeb2e8f25d43ef71fbacbeec80
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py313h8060acc_0.conda#ab825f8b676368beb91350c6a2da6e11
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py313h129903b_2.conda#71d8f34a558d7e4d6656679c609b65d5
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py313h8060acc_1.conda#21b62c55924f01b6eef6827167b46acb
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py313h129903b_0.conda#ab5b84154e1d9e41d4f11aea76d74096
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py313h536fd9c_1.conda#e65dd24a525a4def5de67384321af60d
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py313h1dd084c_100.conda#151fdadde33ff51222c31b734f8cdd2b
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py313h4bf6692_0.conda#17bcf851cceab793dad11ab8089d4bc4
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py313h1dd084c_101.conda#7acb7a454880b024f7d67487a7495631
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py313hb30382a_0.conda#bacc73d89e22828efedf31fdc4b54b4e
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py313h2d7ed13_0.conda#0d95e1cda6bf9ce501e751c02561204e
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py313h8db990d_0.conda#1e86810c6c3fb6d6aebdba26564eb2e8
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py313h3a8fdcd_0.conda#1a8c6ec6aa900ec36f07a70a50c35e5c
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py313hdb96ca5_0.conda#2a0d20f16832a170218b474bcec57acf
-https://conda.anaconda.org/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda#f4fea9d5bb3f2e61a39950a7ab70ee4e
+https://conda.anaconda.org/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda#6e7535f1d1faf524e9210d2689b3149b
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py313h536fd9c_1.conda#5c44ffac1f568dc8b4afb09a3e825d49
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.13-5_cp313.conda#381bbd2a92c863f640a55b6ff3c35161
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py313h536fd9c_1.conda#3789f360de131c345e96fbfc955ca80b
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py313h536fd9c_1.conda#b6fef5b4027fe6b74e02b24cba799416
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py313h536fd9c_0.conda#dd2dde4d02b5d3f98a556ca57b374777
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py313h536fd9c_1.conda#d3400df9c9d0b58368bc0c0fc2591c39
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py313h27c5614_1.conda#c5c52b95724a6d4adb72499912eea085
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py313hc93385a_0.conda#cd05940add8516cad1407b7dac647526
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py313h3f71f02_2.conda#dd0b742e8e61b8f15e4b64efcc103ad6
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_0.conda#9b36a51a94aa8d902ef49325116e17d2
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/cset-24.8.0-pyhd8ed1ab_2.conda#117cd49efc44bf3b3ac340b1b1346cd2
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh145f28c_0.conda#ca3afe2d7b893a8c8cdf489d30a2b1a3
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh145f28c_2.conda#76601b0ccfe1fe13a21a5f8813cb38de
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/docs/source/reference/operators.rst b/docs/source/reference/operators.rst
index d9221a0b5..87d4c072c 100644
--- a/docs/source/reference/operators.rst
+++ b/docs/source/reference/operators.rst
@@ -76,3 +76,21 @@ CSET.operators.convection
 
 .. automodule:: CSET.operators.convection
    :members:
+
+Mesoscale Operators
+~~~~~~~~~~~~~~~~~~~
+
+CSET.operators.mesoscale
+------------------------
+
+.. automodule:: CSET.operators.mesoscale
+   :members:
+
+Other
+~~~~~
+
+CSET.operators.ageofair
+-----------------------
+
+.. automodule:: CSET.operators.ageofair
+   :members:
diff --git a/requirements/locks/py310-lock-linux-64.txt b/requirements/locks/py310-lock-linux-64.txt
index 8129b9a7b..07c4a7085 100644
--- a/requirements/locks/py310-lock-linux-64.txt
+++ b/requirements/locks/py310-lock-linux-64.txt
@@ -5,31 +5,31 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py310hf71b8c6_2.conda#bf502c169c71e3c6ac0d6175addfacc2
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py310h5eaa309_0.conda#ca4d935c1715f95b6e86846ad1675a2b
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py310hf462985_0.conda#c31938674e4cda43617a4d70f99ffd0c
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py310h8deb56e_0.conda#1fc24a3196ad5ede2a68148be61894f4
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py310hf462985_1.conda#c2d5289e6cbcecf2c549e01772fe5274
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py310h3788b33_0.conda#f993b13665fc2bb262b30217c815d137
-https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.8-py310h89163eb_0.conda#1109af252e695897f5acc7c1578202cd
+https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.10-py310h89163eb_0.conda#f9bf6ea6ddf8349750f1b455f603b0ae
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py310h89163eb_0.conda#b1f20c0aa91d0e67e773e67076f01cc6
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py310h89163eb_1.conda#c81251a712a36b477ed2330ec0e1a299
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -40,13 +40,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -60,155 +60,155 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda#30fd6e37fe21f86f4bd26d6ee73eeec7
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py310h89163eb_0.conda#5415555830a54d9b4a1307e3e9d942c7
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py310h68603db_2.conda#4a8c5dd75815384ddbc3aee99ccd7b50
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py310h89163eb_1.conda#8ce3f0332fd6de0d737e2911d329523f
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py310h68603db_0.conda#409498230a11a71578ed49d006165249
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py310ha75aee5_1.conda#48781b625a5c7701e04d222752cb2f62
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py310h5146f0f_100.conda#82a474392c02d35a969aaad569cbbca8
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py310hd6e36ab_0.conda#b67f4f02236b75765deec42f5cf2b35b
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py310h5146f0f_101.conda#3e17df8e4192431b85afc89a539f6c28
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py310h5851e9f_0.conda#d38cb65becc66134ed42a02e6155e8e0
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py310hfeaa1f3_0.conda#1947280342c7259b82a707e38ebc212e
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py310h7e6dc6c_0.conda#14d300b9e1504748e70cc6499a7b4d25
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py310h9a1d609_0.conda#9310fea0488c0baa6e8572bd6d08771a
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py310h2e9f774_0.conda#42a3ea3c283d930ae6d156b97ffe4740
-https://conda.anaconda.org/conda-forge/linux-64/python-3.10.15-h4a871b0_2_cpython.conda#98059097f62e97be9aed7ec904055825
+https://conda.anaconda.org/conda-forge/linux-64/python-3.10.16-he725a3c_1_cpython.conda#b887811a901b3aa622a92caf03bc8917
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py310ha75aee5_1.conda#8b430470d53744289cb5499bc99a6485
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-5_cp310.conda#2921c34715e74b3587b4cff4d36844f9
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py310ha75aee5_1.conda#0d4c5c76ae5f5aac6f0be419963a19dd
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py310ha75aee5_1.conda#7f029681ce0e35e0f592d1d645162b4e
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py310ha75aee5_0.conda#5883d4060b98ff88fb368ed0b332279a
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py310ha75aee5_1.conda#5774cc3497be5134eb3a36c4f5c7895b
-https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.1-py310h66cce94_0.conda#51578516b2c868a15af5471df3c029b6
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py310hfcf56fc_1.conda#d9b1b75a227dbc42f3fe0e8bc852b805
+https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.6-py310h66cce94_0.conda#67023aa169a7caec9749c67875f9e558
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py310hfa6ec8c_0.conda#5af85973838c580ab7f4f72008c8b237
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py310had3dfd6_2.conda#a4166b41e54d22e794859641b7cae2d0
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py310h3788b33_5.conda#e05b0475166b68c9dc4d7937e0315654
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py310ha75aee5_1.conda#ee18e67b0bd283f6a75369936451d6ac
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py310ha39cb0e_1.conda#f49de34fb99934bf49ab330b5caffd64
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_0.conda#7d78a232029458d0077ede6cda30ed0c
-https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_0.conda#6d4e9ecca8d88977147e109fc7053184
-https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda#332493000404d8411859539a5a630865
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
-https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.0-pyhd8ed1ab_0.conda#a374efa97290b8799046df7c5ca17164
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2#3faab06a954c2a04039983f2c4a50d99
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
-https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_0.conda#fe521c1608280cc2803ebd26dc252212
-https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_0.conda#e8cd5d629f65bdf0f3bb312cde14659e
-https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda#d02ae936e42063ca46af6cdad2dbd1e0
-https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda#916f8ec5dd4128cd5f207a3c4c07b2c6
+https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda#1fd9696649f65fd6611fcdb4ffec738a
+https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_1.conda#3e23f7db93ec14c80525257d8affac28
+https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_1.conda#d48f7e9fdec44baf6d1da416fe402b04
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_1.conda#57df494053e17dce2ac3a0b33e1b2a2e
+https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.1-pyhd8ed1ab_0.conda#e83a31202d1c0a000fce3e9cf3825875
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#962b9857ee8e7018c22f2776ffa0b2d7
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
+https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_1.conda#8d88f4a2242e6b96f9ecff9a6a05b2f1
+https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda#24c1ca34138ee57de72a943237cde4cc
+https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda#a16662747cdeb9abbac74d0057cc976e
+https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_1.conda#d692e9ba6f92dc51484bf3477e36ce7c
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_1.conda#1de9286f68ce577064262b0071ac9b4e
-https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2#b748fbf7060927a6e82df7cb5ee8f097
-https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71
-https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2#9f765cbfab6870c8435b9eefecd7a1f4
-https://conda.anaconda.org/conda-forge/noarch/identify-2.6.3-pyhd8ed1ab_0.conda#dd3acd023fc358afab730866a0e5e3f5
-https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_0.conda#7ba2ede0e7c795ff95088daf0dc59753
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_2.conda#a4ffdb4a5370e427f0ad980df69bbdbc
+https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_1.conda#825927dc7b0f287ef8d4d0011bb113b1
+https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyhd8ed1ab_1.conda#2aa5ff7fa34a81b9196532c84c10d865
+https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_1.conda#566e75c90c1d0c8c459eb0ad9833dc7a
+https://conda.anaconda.org/conda-forge/noarch/identify-2.6.5-pyhd8ed1ab_0.conda#c1b0f663ff141265d1be1242259063f0
+https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_1.conda#39a4f67be3286c86d696df570b1201b7
 https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2#7de5386c8fea29e76b303f37dde4c352
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda#f800d2da156d08e289b14e87e43c1ae5
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_1.conda#6837f3eff7dcea42ecd714ce1ac2b108
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda#dfe0528d0f1c16c1f7c528ea5536ab30
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_1.conda#7ba3f09fceae6a120d664217e58fe686
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_0.conda#5dd546fe99b44fda83963d15f84263b7
-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda#fd8f2b18b65bbf62e8f653100690c8d2
-https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
-https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_0.conda#5971cc64048943605f352f7f8612de6c
-https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyh6c4a22f_0.tar.bz2#b4613d7e7a493916d867842a6a148054
-https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda#844d9eb3b43095b031874477f7d70088
-https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda#b7f5c092b8f9800150d998a71b76d5a1
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2#2a7de29fb590ca14b5243c4c812c8025
-https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_0.conda#ff8f2ef7f2636906b3781d0cf92388d0
-https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda#cb8a11b6d209e3d85e5094bdbd9ebd9c
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
-https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_0.conda#260009d03c9d5c0f111904d851f053dc
-https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda#5ede4753180c7a550a443c430dc8ab52
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda#04e691b9fadd93a8a9fad87a81d4fd8f
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_1.conda#577852c7e53901ddccc7e6a9959ddebe
+https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda#e9dcbce5f45f9ee500e728ae58b605b6
+https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_1.conda#d0ea6ed474bf7f6db88fc85e6dc809b1
+https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyhd8ed1ab_1.conda#9eb1496f8aa577322f293ee0c72983fd
+https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_1.conda#b38dc0206e2a530e5c2cf11dc086b31a
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda#461219d1a5bd61342293efa2c0c90eac
+https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda#799ed216dc6af62520f32aa39bc1c2bb
+https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda#79963c319d1be62c8fd3e34555816e01
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
+https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda#f26ec986456c30f6dff154b670ae140f
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_1.conda#a9b9368f3701a417eac9edbcae7cb737
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
 https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-2.2.0-pyhd8ed1ab_0.tar.bz2#4d22a9315e78c6827f806065957d566e
 https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda#3f144b2c34f8cb5a9abd9ed23a39c561
-https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_0.conda#05706dd5a145a9c91861495cd435409a
+https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_1.conda#1a3281a0dc355c02b5506d87db2d78ac
 https://conda.anaconda.org/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda#463d989a8f1506bcf51cc37d7beebdf1
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0.conda#9075bd8c033f0257122300db914e49c9
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_0.conda#b3bcc38c471ebb738854f52a36059b48
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0.conda#e25640d692c02e8acfff0372f547e940
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_0.conda#da1d979339e2714c30a8e806a33ec087
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e
-https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2#f832c45a477c78bebd107098db465095
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_1.conda#16e3f039c0aa6446513e94ab18a8784b
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_1.conda#910f28a05c178feba832f842155cbfff
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_1.conda#e9fb3fe8a5b758b4aff187d434f94f03
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_1.conda#fa839b5ff59e192f411ccc7dae6588bb
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_1.conda#00534ebcc0375929b45c3039b5ba7636
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
+https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda#b0dd904de08b7db706167240bf37b164
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
 https://conda.anaconda.org/conda-forge/noarch/tox-3.27.1-pyhd8ed1ab_0.tar.bz2#62b743e1030b17163c70654601afb60d
 https://conda.anaconda.org/conda-forge/noarch/tox-conda-0.9.2-pyhd8ed1ab_0.tar.bz2#8494c2ad4bef7bfe2e2d8603b4c2a185
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.3-pyhd8ed1ab_0.conda#6b55867f385dd762ed99ea687af32a69
-https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda#1d601bc1d28b5ce6d112b90f4b9b8ede
-https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_0.conda#bdb2f437ce62fd2f1fef9119a37a12d9
+https://conda.anaconda.org/conda-forge/noarch/urllib3-2.3.0-pyhd8ed1ab_0.conda#32674f8dbfb7b26410ed580dd3c10a29
+https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda#680b1c287b10cefc8bda0530b217229f
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/requirements/locks/py311-lock-linux-64.txt b/requirements/locks/py311-lock-linux-64.txt
index ad231ce0c..019ec70f7 100644
--- a/requirements/locks/py311-lock-linux-64.txt
+++ b/requirements/locks/py311-lock-linux-64.txt
@@ -5,31 +5,31 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py311hfdbb021_2.conda#d21daab070d76490cb39a8f1d1729d79
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py311h7db5c69_0.conda#20ba399d57a2b5de789a5b24341481a1
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py311h9f3472d_0.conda#555b148cafbd96b658499060d5e11a65
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py311hf29c0ef_0.conda#55553ecd5328336368db611f350b7039
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py311h9f3472d_1.conda#2c3c4f115d28ed9e001a271d5d8585aa
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py311hd18a35c_0.conda#351cb68d2081e249069748b6e60b3cd2
-https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.8-py311h2dc5d0c_0.conda#8d6a690e582941ee3161500d1982ea3e
+https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.10-py311h2dc5d0c_0.conda#2a772b30e69ba8319651e9f3ab01608f
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py311h2dc5d0c_0.conda#8b056dbb53df32a9dbf1718a04dc4138
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py311h2dc5d0c_1.conda#04c0b385767445be8aefe0d4915cb747
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -40,13 +40,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -60,155 +60,155 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda#30fd6e37fe21f86f4bd26d6ee73eeec7
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py311h2dc5d0c_0.conda#15e4dadd59e93baad7275249f10b9472
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py311h2b939e6_2.conda#2e8401a7780e33e9ca76034d0ed24c3c
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py311h2dc5d0c_1.conda#6565a715337ae279e351d0abd8ffe88a
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py311h2b939e6_0.conda#79239585ea50c427415ef629534bb3aa
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py311h9ecbd09_1.conda#28d6b63784b350a2906dc264ad8c7f2a
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py311h7c29e4f_100.conda#11395670c4eeda7a60c13c313a83727f
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py311h71ddf71_0.conda#1b3c543b0cc96310bcf0b825d5a68cb1
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py311h7c29e4f_101.conda#d966f11d28c699da7e9de2aa2f323a4f
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py311hf916aec_0.conda#54a2d01ec2cfc01644f17d25978b0ecf
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py311h49e9ac3_0.conda#2bd3d0f839ec0d1eaca817c9d1feb7c2
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py311h1322bbf_0.conda#9f4f5593335f76c1dbf7381c11fe7155
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py311hf885082_0.conda#7ec06aad0aaf2bbb04b3e97eebb95a3e
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py311h0f98d5a_0.conda#22531205a97c116251713008d65dfefd
-https://conda.anaconda.org/conda-forge/linux-64/python-3.11.10-hc5c86c4_3_cpython.conda#9e1ad55c87368e662177661a998feed5
+https://conda.anaconda.org/conda-forge/linux-64/python-3.11.11-h9e4cc4f_1_cpython.conda#8387070aa413ce9a8cc35a509fae938b
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py311h9ecbd09_1.conda#b1796d741ca619dbacb79917b20e5a05
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-5_cp311.conda#139a8d40c8a2f430df31048949e450de
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py311h9ecbd09_1.conda#abeb54d40f439b86f75ea57045ab8496
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py311h9ecbd09_1.conda#d9098dd007b0394863c3462753d048bb
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py311h9ecbd09_0.conda#3046ddb88eac79761aa766a178b42f31
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py311h9ecbd09_1.conda#e56869fca385961323e43783b89bef66
-https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.1-py311h100434b_0.conda#ad9d769724169094c76bd2abdc1f693d
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py311he9a78e4_1.conda#49ba89bf4d8a995efb99517d1c7aeb1e
+https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.6-py311h100434b_0.conda#19d9dd0094db0da1db021f1f8c44c6a8
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py311hc1ac118_0.conda#09e861917e6fb36c0cf30a49935cd4bd
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py311h2fdb869_2.conda#4c78235905053663d1c9e23df3f11b65
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py311hd18a35c_5.conda#4e8447ca8558a203ec0577b4730073f3
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py311h9ecbd09_1.conda#00895577e2b4c24dca76675ab1862551
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py311hbc35293_1.conda#aec590674ba365e50ae83aa2d6e1efae
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_0.conda#7d78a232029458d0077ede6cda30ed0c
-https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_0.conda#6d4e9ecca8d88977147e109fc7053184
-https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda#332493000404d8411859539a5a630865
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
-https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.0-pyhd8ed1ab_0.conda#a374efa97290b8799046df7c5ca17164
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2#3faab06a954c2a04039983f2c4a50d99
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
-https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_0.conda#fe521c1608280cc2803ebd26dc252212
-https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_0.conda#e8cd5d629f65bdf0f3bb312cde14659e
-https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda#d02ae936e42063ca46af6cdad2dbd1e0
-https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda#916f8ec5dd4128cd5f207a3c4c07b2c6
+https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda#1fd9696649f65fd6611fcdb4ffec738a
+https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_1.conda#3e23f7db93ec14c80525257d8affac28
+https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_1.conda#d48f7e9fdec44baf6d1da416fe402b04
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_1.conda#57df494053e17dce2ac3a0b33e1b2a2e
+https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.1-pyhd8ed1ab_0.conda#e83a31202d1c0a000fce3e9cf3825875
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#962b9857ee8e7018c22f2776ffa0b2d7
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
+https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_1.conda#8d88f4a2242e6b96f9ecff9a6a05b2f1
+https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda#24c1ca34138ee57de72a943237cde4cc
+https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda#a16662747cdeb9abbac74d0057cc976e
+https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_1.conda#d692e9ba6f92dc51484bf3477e36ce7c
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_1.conda#1de9286f68ce577064262b0071ac9b4e
-https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2#b748fbf7060927a6e82df7cb5ee8f097
-https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71
-https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2#9f765cbfab6870c8435b9eefecd7a1f4
-https://conda.anaconda.org/conda-forge/noarch/identify-2.6.3-pyhd8ed1ab_0.conda#dd3acd023fc358afab730866a0e5e3f5
-https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_0.conda#7ba2ede0e7c795ff95088daf0dc59753
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_2.conda#a4ffdb4a5370e427f0ad980df69bbdbc
+https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_1.conda#825927dc7b0f287ef8d4d0011bb113b1
+https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyhd8ed1ab_1.conda#2aa5ff7fa34a81b9196532c84c10d865
+https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_1.conda#566e75c90c1d0c8c459eb0ad9833dc7a
+https://conda.anaconda.org/conda-forge/noarch/identify-2.6.5-pyhd8ed1ab_0.conda#c1b0f663ff141265d1be1242259063f0
+https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_1.conda#39a4f67be3286c86d696df570b1201b7
 https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2#7de5386c8fea29e76b303f37dde4c352
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda#f800d2da156d08e289b14e87e43c1ae5
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_1.conda#6837f3eff7dcea42ecd714ce1ac2b108
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda#dfe0528d0f1c16c1f7c528ea5536ab30
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_1.conda#7ba3f09fceae6a120d664217e58fe686
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_0.conda#5dd546fe99b44fda83963d15f84263b7
-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda#fd8f2b18b65bbf62e8f653100690c8d2
-https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
-https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_0.conda#5971cc64048943605f352f7f8612de6c
-https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyh6c4a22f_0.tar.bz2#b4613d7e7a493916d867842a6a148054
-https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda#844d9eb3b43095b031874477f7d70088
-https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda#b7f5c092b8f9800150d998a71b76d5a1
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2#2a7de29fb590ca14b5243c4c812c8025
-https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_0.conda#ff8f2ef7f2636906b3781d0cf92388d0
-https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda#cb8a11b6d209e3d85e5094bdbd9ebd9c
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
-https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_0.conda#260009d03c9d5c0f111904d851f053dc
-https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda#5ede4753180c7a550a443c430dc8ab52
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda#04e691b9fadd93a8a9fad87a81d4fd8f
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_1.conda#577852c7e53901ddccc7e6a9959ddebe
+https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda#e9dcbce5f45f9ee500e728ae58b605b6
+https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_1.conda#d0ea6ed474bf7f6db88fc85e6dc809b1
+https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyhd8ed1ab_1.conda#9eb1496f8aa577322f293ee0c72983fd
+https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_1.conda#b38dc0206e2a530e5c2cf11dc086b31a
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda#461219d1a5bd61342293efa2c0c90eac
+https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda#799ed216dc6af62520f32aa39bc1c2bb
+https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda#79963c319d1be62c8fd3e34555816e01
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
+https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda#f26ec986456c30f6dff154b670ae140f
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_1.conda#a9b9368f3701a417eac9edbcae7cb737
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
 https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-2.2.0-pyhd8ed1ab_0.tar.bz2#4d22a9315e78c6827f806065957d566e
 https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda#3f144b2c34f8cb5a9abd9ed23a39c561
-https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_0.conda#05706dd5a145a9c91861495cd435409a
+https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_1.conda#1a3281a0dc355c02b5506d87db2d78ac
 https://conda.anaconda.org/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda#463d989a8f1506bcf51cc37d7beebdf1
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0.conda#9075bd8c033f0257122300db914e49c9
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_0.conda#b3bcc38c471ebb738854f52a36059b48
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0.conda#e25640d692c02e8acfff0372f547e940
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_0.conda#da1d979339e2714c30a8e806a33ec087
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e
-https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2#f832c45a477c78bebd107098db465095
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_1.conda#16e3f039c0aa6446513e94ab18a8784b
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_1.conda#910f28a05c178feba832f842155cbfff
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_1.conda#e9fb3fe8a5b758b4aff187d434f94f03
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_1.conda#fa839b5ff59e192f411ccc7dae6588bb
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_1.conda#00534ebcc0375929b45c3039b5ba7636
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
+https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda#b0dd904de08b7db706167240bf37b164
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
 https://conda.anaconda.org/conda-forge/noarch/tox-3.27.1-pyhd8ed1ab_0.tar.bz2#62b743e1030b17163c70654601afb60d
 https://conda.anaconda.org/conda-forge/noarch/tox-conda-0.9.2-pyhd8ed1ab_0.tar.bz2#8494c2ad4bef7bfe2e2d8603b4c2a185
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.3-pyhd8ed1ab_0.conda#6b55867f385dd762ed99ea687af32a69
-https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda#1d601bc1d28b5ce6d112b90f4b9b8ede
-https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_0.conda#bdb2f437ce62fd2f1fef9119a37a12d9
+https://conda.anaconda.org/conda-forge/noarch/urllib3-2.3.0-pyhd8ed1ab_0.conda#32674f8dbfb7b26410ed580dd3c10a29
+https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda#680b1c287b10cefc8bda0530b217229f
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/requirements/locks/py312-lock-linux-64.txt b/requirements/locks/py312-lock-linux-64.txt
index 336906111..fbfa44271 100644
--- a/requirements/locks/py312-lock-linux-64.txt
+++ b/requirements/locks/py312-lock-linux-64.txt
@@ -5,31 +5,31 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda#b0b867af6fc74b2a0aa206da29c0f3cf
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py312hf9745cd_0.conda#ea213e31805199cb7d0da457b879ceed
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py312hc0a28a1_0.conda#8b5b812d4c18cb37bda7a7c8d3a6acb3
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda#a861504bbea4161a9170b85d4d2be840
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py312hc0a28a1_1.conda#990033147b0a998e756eaaed6b28f48d
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py312h68727a3_0.conda#f5fbba0394ee45e9a64a73c2a994126a
-https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.8-py312h178313f_0.conda#fe8c93f4c75908fe2a1cc45ed0c47edf
+https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.10-py312h178313f_0.conda#df113f58bdfc79c98f5e07b6bd3eb4c2
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py312h178313f_0.conda#f404f4fb99ccaea68b00c1cc64fc1e68
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py312h178313f_1.conda#bc18c46eda4c2b29431981998507e723
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -40,13 +40,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -60,155 +60,155 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda#30fd6e37fe21f86f4bd26d6ee73eeec7
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py312h178313f_0.conda#a755704ea0e2503f8c227d84829a8e81
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py312hd3ec401_2.conda#2380c9ba933ffaac9ad16d8eac8e3318
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py312h178313f_1.conda#eb227c3e0bf58f5bd69c0532b157975b
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py312hd3ec401_0.conda#c27a17a8c54c0d35cf83bbc0de8f7f77
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py312h66e93f0_1.conda#5fef67f50126f40f5966a9451661280d
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py312ha728dd9_100.conda#8e932f27c4339835563f42d73b158d53
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py312h58c1407_0.conda#dfdbc12e6d81889ba4c494a23f23eba8
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py312ha728dd9_101.conda#7e41ca6012a6bf609539aec0dfee93f7
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py312h7e784f5_0.conda#6159cab400b61f38579a7692be5e630a
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py312h7b63e92_0.conda#385f46a4df6f97892503a841121a9acf
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py312h80c1187_0.conda#d3894405f05b2c0f351d5de3ae26fa9c
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py312h011e53f_0.conda#bad112802852496a8a8e41fd3ae9128d
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py312he630544_0.conda#427799f15b36751761941f4cbd7d780f
-https://conda.anaconda.org/conda-forge/linux-64/python-3.12.7-hc5c86c4_0_cpython.conda#0515111a9cdf69f83278f7c197db9807
+https://conda.anaconda.org/conda-forge/linux-64/python-3.12.8-h9e4cc4f_1_cpython.conda#7fd2fd79436d9b473812f14e86746844
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py312h66e93f0_1.conda#39aed2afe4d0cf76ab3d6b09eecdbea7
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda#0424ae29b104430108f5218a66db7260
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda#549e5930e768548a89c23f595dac5a95
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py312h66e93f0_1.conda#28ed869ade5601ee374934a31c9d628e
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py312h66e93f0_0.conda#b77952bccd6b8d5c46e2f54354b4296b
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py312h66e93f0_1.conda#532c3e5d0280be4fea52396ec1fa7d5d
-https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.1-py312h2156523_0.conda#2722627efb013e97b624001c391fc5cc
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py312h62794b6_1.conda#b43233a9e2f62fb94affe5607ea79473
+https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.6-py312h2156523_0.conda#284282b754028b3271019713669aa23c
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py312h180e4f1_0.conda#66004839e9394a241b483436a9742845
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py312h391bc85_2.conda#eb476b4975ea28ac12ff469063a71f5d
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda#f9664ee31aed96c85b7319ab0a693341
 https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-15.1.0-py312h66e93f0_1.conda#588486a61153f94c7c13816f7069e440
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda#8b7069e9792ee4e5b4919a7a306d2e67
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_0.conda#7d78a232029458d0077ede6cda30ed0c
-https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_0.conda#6d4e9ecca8d88977147e109fc7053184
-https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda#332493000404d8411859539a5a630865
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
-https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.0-pyhd8ed1ab_0.conda#a374efa97290b8799046df7c5ca17164
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2#3faab06a954c2a04039983f2c4a50d99
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
-https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_0.conda#fe521c1608280cc2803ebd26dc252212
-https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_0.conda#e8cd5d629f65bdf0f3bb312cde14659e
-https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda#d02ae936e42063ca46af6cdad2dbd1e0
-https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda#916f8ec5dd4128cd5f207a3c4c07b2c6
+https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda#1fd9696649f65fd6611fcdb4ffec738a
+https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_1.conda#3e23f7db93ec14c80525257d8affac28
+https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_1.conda#d48f7e9fdec44baf6d1da416fe402b04
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_1.conda#57df494053e17dce2ac3a0b33e1b2a2e
+https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.1-pyhd8ed1ab_0.conda#e83a31202d1c0a000fce3e9cf3825875
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#962b9857ee8e7018c22f2776ffa0b2d7
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
+https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_1.conda#8d88f4a2242e6b96f9ecff9a6a05b2f1
+https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda#24c1ca34138ee57de72a943237cde4cc
+https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda#a16662747cdeb9abbac74d0057cc976e
+https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_1.conda#d692e9ba6f92dc51484bf3477e36ce7c
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_1.conda#1de9286f68ce577064262b0071ac9b4e
-https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2#b748fbf7060927a6e82df7cb5ee8f097
-https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71
-https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2#9f765cbfab6870c8435b9eefecd7a1f4
-https://conda.anaconda.org/conda-forge/noarch/identify-2.6.3-pyhd8ed1ab_0.conda#dd3acd023fc358afab730866a0e5e3f5
-https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_0.conda#7ba2ede0e7c795ff95088daf0dc59753
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_2.conda#a4ffdb4a5370e427f0ad980df69bbdbc
+https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_1.conda#825927dc7b0f287ef8d4d0011bb113b1
+https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyhd8ed1ab_1.conda#2aa5ff7fa34a81b9196532c84c10d865
+https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_1.conda#566e75c90c1d0c8c459eb0ad9833dc7a
+https://conda.anaconda.org/conda-forge/noarch/identify-2.6.5-pyhd8ed1ab_0.conda#c1b0f663ff141265d1be1242259063f0
+https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_1.conda#39a4f67be3286c86d696df570b1201b7
 https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2#7de5386c8fea29e76b303f37dde4c352
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda#f800d2da156d08e289b14e87e43c1ae5
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_1.conda#6837f3eff7dcea42ecd714ce1ac2b108
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda#dfe0528d0f1c16c1f7c528ea5536ab30
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_1.conda#7ba3f09fceae6a120d664217e58fe686
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_0.conda#5dd546fe99b44fda83963d15f84263b7
-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda#fd8f2b18b65bbf62e8f653100690c8d2
-https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
-https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_0.conda#5971cc64048943605f352f7f8612de6c
-https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyh6c4a22f_0.tar.bz2#b4613d7e7a493916d867842a6a148054
-https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda#844d9eb3b43095b031874477f7d70088
-https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda#b7f5c092b8f9800150d998a71b76d5a1
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2#2a7de29fb590ca14b5243c4c812c8025
-https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_0.conda#ff8f2ef7f2636906b3781d0cf92388d0
-https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda#cb8a11b6d209e3d85e5094bdbd9ebd9c
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
-https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_0.conda#260009d03c9d5c0f111904d851f053dc
-https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda#5ede4753180c7a550a443c430dc8ab52
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh8b19718_2.conda#04e691b9fadd93a8a9fad87a81d4fd8f
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_1.conda#577852c7e53901ddccc7e6a9959ddebe
+https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda#e9dcbce5f45f9ee500e728ae58b605b6
+https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_1.conda#d0ea6ed474bf7f6db88fc85e6dc809b1
+https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyhd8ed1ab_1.conda#9eb1496f8aa577322f293ee0c72983fd
+https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_1.conda#b38dc0206e2a530e5c2cf11dc086b31a
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda#461219d1a5bd61342293efa2c0c90eac
+https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda#799ed216dc6af62520f32aa39bc1c2bb
+https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda#79963c319d1be62c8fd3e34555816e01
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
+https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda#f26ec986456c30f6dff154b670ae140f
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_1.conda#a9b9368f3701a417eac9edbcae7cb737
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
 https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-2.2.0-pyhd8ed1ab_0.tar.bz2#4d22a9315e78c6827f806065957d566e
 https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda#3f144b2c34f8cb5a9abd9ed23a39c561
-https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_0.conda#05706dd5a145a9c91861495cd435409a
+https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_1.conda#1a3281a0dc355c02b5506d87db2d78ac
 https://conda.anaconda.org/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda#463d989a8f1506bcf51cc37d7beebdf1
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0.conda#9075bd8c033f0257122300db914e49c9
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_0.conda#b3bcc38c471ebb738854f52a36059b48
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0.conda#e25640d692c02e8acfff0372f547e940
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_0.conda#da1d979339e2714c30a8e806a33ec087
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e
-https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2#f832c45a477c78bebd107098db465095
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_1.conda#16e3f039c0aa6446513e94ab18a8784b
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_1.conda#910f28a05c178feba832f842155cbfff
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_1.conda#e9fb3fe8a5b758b4aff187d434f94f03
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_1.conda#fa839b5ff59e192f411ccc7dae6588bb
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_1.conda#00534ebcc0375929b45c3039b5ba7636
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
+https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda#b0dd904de08b7db706167240bf37b164
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
 https://conda.anaconda.org/conda-forge/noarch/tox-3.27.1-pyhd8ed1ab_0.tar.bz2#62b743e1030b17163c70654601afb60d
 https://conda.anaconda.org/conda-forge/noarch/tox-conda-0.9.2-pyhd8ed1ab_0.tar.bz2#8494c2ad4bef7bfe2e2d8603b4c2a185
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.3-pyhd8ed1ab_0.conda#6b55867f385dd762ed99ea687af32a69
-https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda#1d601bc1d28b5ce6d112b90f4b9b8ede
-https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_0.conda#bdb2f437ce62fd2f1fef9119a37a12d9
+https://conda.anaconda.org/conda-forge/noarch/urllib3-2.3.0-pyhd8ed1ab_0.conda#32674f8dbfb7b26410ed580dd3c10a29
+https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda#680b1c287b10cefc8bda0530b217229f
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda#75cb7132eb58d97896e173ef12ac9986
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/requirements/locks/py313-lock-linux-64.txt b/requirements/locks/py313-lock-linux-64.txt
index 157950240..df14ecac2 100644
--- a/requirements/locks/py313-lock-linux-64.txt
+++ b/requirements/locks/py313-lock-linux-64.txt
@@ -5,31 +5,31 @@
 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/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
 https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-h04ea711_2.conda#f730d54ba9cd543666d7220c9f7ed563
-https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54fe76ab3d0189acaef95156874db7f9
+https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda#2c2fae981fd2afd00812c92ac47d023d
 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f
 https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda#c63b5e52939e795ba8d26e35d767a843
 https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py313h46c70d0_2.conda#f6bb3742e17a4af0dc3c8ca942683ef6
 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62ee74e96c5ebb0af99386de58cf9553
-https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.3-hb9d3cd8_1.conda#ee228789a85f961d14567252a03e725f
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
-https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda#fceaedf1cdbcb02df9699a0d9b005292
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda#e2775acf57efd5af15b8e3d1d74d72d3
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.12.14-hbcca054_0.conda#720523eb0d6a9b0f6120c16b2aa4e7de
+https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.2-h3394656_1.conda#b34c2833a1f56db610aeb27f206d800d
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py313ha87cce1_0.conda#44c2091019480603a885aa01e7b710e7
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.3.0-py313ha014f3b_0.conda#aecffd7a21d698e374487644ce67d6eb
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py313hfab6e84_0.conda#ce6386a5892ef686d6d680c345c40ad1
 https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py313ha014f3b_1.conda#b20667f9b1d016c1141051a433f76dfc
 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.1-py313h33d0bda_0.conda#6b6768e7c585d7029f79a04cbc4cbff0
-https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.8-py313h8060acc_0.conda#cf7681f6c2dc94ff8577430e4c280dc6
+https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.10-py313h8060acc_0.conda#b76045c1b72b2db6e936bc1226a42c99
 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda#8f5b0b297b59e1ac160ad4beec99dbee
-https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.0-py313h8060acc_0.conda#0ff3a44b54d02157f6e99074432b7396
+https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.55.3-py313h8060acc_1.conda#f89b4b415c5be34d24f74f30954792b5
 https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda#9ae35c3d96db2c94ce0cef86efdfa2cb
 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/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.0-h5888daf_0.conda#40b4ab956c90390e407bb177f8a58bab
 https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda#f87c7b7c2cb45f323ffbce941c78ab7c
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-12.0.0-hba01fac_0.conda#953e31ea00d46beb7e64a79fc291ec44
-https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h6470451_5.conda#1483ba046164be27df7f6eddbcec3a12
+https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h8ee276e_7.conda#28a9681054948a7d7e96a7b8fe9b604e
 https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe
-https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda#76b32dcf243444aea9c6b804bcfa40b8
+https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-10.1.0-h0b3b770_0.conda#ab1d7d56034814f4c3ed9f69f8c68806
 https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4
 https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.4-nompi_h2d575fe_105.conda#d76fff0092b6389a12134ddebc0929bd
 https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda#8b189310083baabfb622af68fd9d3ae3
@@ -40,13 +40,13 @@ https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672
 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b
+https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-26_linux64_openblas.conda#ac52800af2e0c0e7dac770b435ce768a
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda#9566f0bd264fbd463002e759b8a82401
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de
-https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-25_linux64_openblas.conda#5dbd1b0fc0d01ec5e0e1fbe667281a11
-https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277
-https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5
+https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda#ebcc5f37a435aa3c19640533c82f8d76
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.11.1-h332b0f4_0.conda#2b3e0081006dc21e8bf53a91c83a055c
+https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.23-h4ddbbb0_0.conda#8dfae1d2e74767e9ce36d5fa0d8605db
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda#db833e03127376d461e1e13e76f09b6c
@@ -60,152 +60,152 @@ https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702
 https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda#d66573916ffcf376178462f1b61c941e
 https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda#ea25936bb4080d843790b586850f82b8
-https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-25_linux64_openblas.conda#4dc03a53fc69371a6158d0ed37214cd3
+https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda#3792604c43695d6a273bc5faaac47d48
+https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.3-hb9d3cd8_1.conda#2ecf2f1c7e4e21fcfe6423a51a992d84
 https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d
 https://conda.anaconda.org/conda-forge/linux-64/libmpdec-4.0.0-h4bc722e_0.conda#aeb98fdeb2e8f25d43ef71fbacbeec80
-https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h2564987_115.conda#c5ce70b76c77a6c9a3107be8d8e8ab0b
+https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h5ddbaa4_116.conda#f51573abc223afed7e5374f34135ce05
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_1.conda#62857b389e42b36b686331bec0922050
 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1
-https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35
-https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_1.conda#b6f02b52a174e612e89548f4663ce56a
+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-h49af25d_2.conda#b9846db0abffb09847e2cb0fec4b4db6
+https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.2-hee588c1_0.conda#b58da17db24b6e08bcbf8fed2fb8c915
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda#be2de152d8073ef1c01b7728475f2fe7
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051
-https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e
+https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-hd9ff511_3.conda#0ea6510969e1296cc19966fad481f6de
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
 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-1.4.0-hd590300_0.conda#b26e8aa824079e1be0294e7152ca4559
+https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.5.0-h851e524_0.conda#63f790534398730f59e1b899c3644d4a
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
-https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-hb346dea_0.conda#c81a9f1118541aaa418ccb22190c817e
+https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.5-h8d12d68_1.conda#1a21e49e190d1ffe58531a81b6e400e1
 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8
-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/markupsafe-3.0.2-py313h8060acc_0.conda#ab825f8b676368beb91350c6a2da6e11
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py313h129903b_2.conda#71d8f34a558d7e4d6656679c609b65d5
+https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
+https://conda.anaconda.org/conda-forge/linux-64/markupsafe-3.0.2-py313h8060acc_1.conda#21b62c55924f01b6eef6827167b46acb
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.10.0-py313h129903b_0.conda#ab5b84154e1d9e41d4f11aea76d74096
 https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py313h536fd9c_1.conda#e65dd24a525a4def5de67384321af60d
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda#70caf8bb6cf39a0b6b7efc885f51c0fe
-https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py313h1dd084c_100.conda#151fdadde33ff51222c31b734f8cdd2b
-https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.3-py313h4bf6692_0.conda#17bcf851cceab793dad11ab8089d4bc4
-https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
-https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-hb9d3cd8_0.conda#23cc74f77eb99315c0360ec3533147a9
-https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0
+https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.2-nompi_py313h1dd084c_101.conda#7acb7a454880b024f7d67487a7495631
+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.1-py313hb30382a_0.conda#bacc73d89e22828efedf31fdc4b54b4e
+https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.3-h5fbd93e_0.conda#9e5816bc95d285c115a3ebc2f8563564
+https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.0-h7b32b05_1.conda#4ce6875f75469b2757a65e10a5d05e31
+https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h861ebed_4.conda#e501a460d7574686d514f87d420135dd
 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda#df359c09c41cd186fffb93a2d87aa6f5
-https://conda.anaconda.org/conda-forge/linux-64/pillow-11.0.0-py313h2d7ed13_0.conda#0d95e1cda6bf9ce501e751c02561204e
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
-https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.0-h12925eb_0.conda#8c29983ebe50cc7e0998c34bc7614222
+https://conda.anaconda.org/conda-forge/linux-64/pillow-11.1.0-py313h8db990d_0.conda#1e86810c6c3fb6d6aebdba26564eb2e8
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.44.2-h29eaf8c_0.conda#5e2a7acfa2c24188af39e7944e1b3604
+https://conda.anaconda.org/conda-forge/linux-64/proj-9.5.1-h0054346_0.conda#398cabfd9bd75e90d0901db95224f25f
 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e
 https://conda.anaconda.org/conda-forge/linux-64/pygraphviz-1.14-py313h3a8fdcd_0.conda#1a8c6ec6aa900ec36f07a70a50c35e5c
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py313hdb96ca5_0.conda#2a0d20f16832a170218b474bcec57acf
-https://conda.anaconda.org/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda#f4fea9d5bb3f2e61a39950a7ab70ee4e
+https://conda.anaconda.org/conda-forge/linux-64/python-3.13.1-ha99a958_102_cp313.conda#6e7535f1d1faf524e9210d2689b3149b
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.5.0-py313h536fd9c_1.conda#5c44ffac1f568dc8b4afb09a3e825d49
 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.13-5_cp313.conda#381bbd2a92c863f640a55b6ff3c35161
 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py313h536fd9c_1.conda#3789f360de131c345e96fbfc955ca80b
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
-https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.6-py313h536fd9c_1.conda#b6fef5b4027fe6b74e02b24cba799416
+https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.8-py313h536fd9c_0.conda#dd2dde4d02b5d3f98a556ca57b374777
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py313h536fd9c_1.conda#d3400df9c9d0b58368bc0c0fc2591c39
-https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.1-py313he87ea70_0.conda#f21b7cf288eaa69f1b9e21c14bfb242f
-https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py313h27c5614_1.conda#c5c52b95724a6d4adb72499912eea085
+https://conda.anaconda.org/conda-forge/linux-64/ruff-0.8.6-py313he87ea70_0.conda#3627ff5a06843f808ccb4cd933aafd94
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.15.0-py313hc93385a_0.conda#cd05940add8516cad1407b7dac647526
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py313h3f71f02_2.conda#dd0b742e8e61b8f15e4b64efcc103ad6
-https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-ha2e4443_0.conda#6b7dcc7349efd123d493d2dbe85a045f
-https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_1.conda#53abf1ef70b9ae213b22caa5350f97a9
+https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
+https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.2-h9eae976_0.conda#64a954de15d114281535a26fd4d1f294
 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda#d453b98d9c83e71da0741bb0ff4d76bc
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py313h33d0bda_5.conda#5bcffe10a500755da4a71cc0fb62a420
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hb9d3cd8_1.conda#19608a9656912805b2b9a2f6bd257b04
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-he73a12e_1.conda#05a8ea5f446de33006171a7afe6ae857
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_0.conda#0b666058a179b744a622d0a4a0c56353
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hb9d3cd8_1.conda#77cbc488235ebbaab2b6e912d3934bae
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda#fb901ff28063514abb6046c9ec2c4a45
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.5-he73a12e_0.conda#4c3e9fab69804ec6077697922d70c6e2
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.10-h4f16b4b_1.conda#125f34a17d7b4bea418a83904ea82ea6
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda#f6ebe2cb3f82ba6c057dde5d9debe4f7
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda#8035c64cb77ed555e3f150b7b3972480
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
-https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hb9d3cd8_1.conda#a7a49a8b85122b49214798321e2e96b4
-https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2024.1-hb9d3cd8_1.conda#7c21106b851ec72c037b162c216d8f05
+https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.12-hb9d3cd8_0.conda#96d57aba173e878a2089d5638016dc5e
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.2-hd590300_0.conda#f08fb5c89edfc4aadee1c81d4cfb1fa1
-https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0
 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae
 https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda#c9f075ab2f33b3bbee9e62d4ad0a6cd8
 https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py313h80202fe_1.conda#c178558ff516cd507763ffee230c20b2
 https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda#4d056880988120e29d75bfff282e0f45
-https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_0.conda#7d78a232029458d0077ede6cda30ed0c
-https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_0.conda#6d4e9ecca8d88977147e109fc7053184
-https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda#332493000404d8411859539a5a630865
-https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda#12f7d00853807b0531775e9be891cb11
-https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2#ebb5f5f7dc4f1a3780ef7ea7738db08c
-https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.0-pyhd8ed1ab_0.conda#a374efa97290b8799046df7c5ca17164
-https://conda.anaconda.org/conda-forge/noarch/click-8.1.7-unix_pyh707e725_0.conda#f3ad426304898027fc619827ff428eca
-https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_1.conda#c88ca2bb7099167912e3b26463fff079
-https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2#3faab06a954c2a04039983f2c4a50d99
-https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.11.2-pyhff2d567_1.conda#ae2be36dab764e655a22f240837cef75
-https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_0.conda#fe521c1608280cc2803ebd26dc252212
-https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_0.conda#e8cd5d629f65bdf0f3bb312cde14659e
-https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda#d02ae936e42063ca46af6cdad2dbd1e0
-https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda#916f8ec5dd4128cd5f207a3c4c07b2c6
+https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda#1fd9696649f65fd6611fcdb4ffec738a
+https://conda.anaconda.org/conda-forge/noarch/babel-2.16.0-pyhd8ed1ab_1.conda#3e23f7db93ec14c80525257d8affac28
+https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_1.conda#d48f7e9fdec44baf6d1da416fe402b04
+https://conda.anaconda.org/conda-forge/noarch/certifi-2024.12.14-pyhd8ed1ab_0.conda#6feb87357ecd66733be3279f16a8c400
+https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_1.conda#57df494053e17dce2ac3a0b33e1b2a2e
+https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.1-pyhd8ed1ab_0.conda#e83a31202d1c0a000fce3e9cf3825875
+https://conda.anaconda.org/conda-forge/noarch/click-8.1.8-pyh707e725_0.conda#f22f4d4970e09d68a10b922cbb0408d3
+https://conda.anaconda.org/conda-forge/noarch/cloudpickle-3.1.0-pyhd8ed1ab_2.conda#1f76b7e2b3ab88def5aa2f158322c7e6
+https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#962b9857ee8e7018c22f2776ffa0b2d7
+https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
+https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.8.2-pyhd8ed1ab_0.conda#8e7524a2fb561506260db789806c7ee9
+https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_1.conda#8d88f4a2242e6b96f9ecff9a6a05b2f1
+https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda#24c1ca34138ee57de72a943237cde4cc
+https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_1.conda#a16662747cdeb9abbac74d0057cc976e
+https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_1.conda#d692e9ba6f92dc51484bf3477e36ce7c
 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
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda#49023d73832ef61042f6a237cb2687e7
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
-https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31
-https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_1.conda#1de9286f68ce577064262b0071ac9b4e
-https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2#b748fbf7060927a6e82df7cb5ee8f097
-https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71
-https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2#9f765cbfab6870c8435b9eefecd7a1f4
-https://conda.anaconda.org/conda-forge/noarch/identify-2.6.3-pyhd8ed1ab_0.conda#dd3acd023fc358afab730866a0e5e3f5
-https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_0.conda#7ba2ede0e7c795ff95088daf0dc59753
+https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.12.0-pyhd8ed1ab_0.conda#e041ad4c43ab5e10c74587f95378ebc7
+https://conda.anaconda.org/conda-forge/noarch/furo-2024.8.6-pyhd8ed1ab_2.conda#a4ffdb4a5370e427f0ad980df69bbdbc
+https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_1.conda#825927dc7b0f287ef8d4d0011bb113b1
+https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyhd8ed1ab_1.conda#2aa5ff7fa34a81b9196532c84c10d865
+https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_1.conda#566e75c90c1d0c8c459eb0ad9833dc7a
+https://conda.anaconda.org/conda-forge/noarch/identify-2.6.5-pyhd8ed1ab_0.conda#c1b0f663ff141265d1be1242259063f0
+https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_1.conda#39a4f67be3286c86d696df570b1201b7
 https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2#7de5386c8fea29e76b303f37dde4c352
-https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_0.conda#54198435fce4d64d8a89af22573012a8
-https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda#f800d2da156d08e289b14e87e43c1ae5
-https://conda.anaconda.org/conda-forge/noarch/iris-3.11.0-pyha770c72_0.conda#a5e36260789ce92074c3736533ecdd61
-https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_0.conda#d68d25aca67d1a06bf6f5b43aea9430d
-https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda#7b86ecb7d3557821c649b3c31e3eb9f2
+https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.5.0-pyha770c72_1.conda#315607a3030ad5d5227e76e0733798ff
+https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.5.0-hd8ed1ab_1.conda#c70dd0718dbccdcc6d5828de3e71399d
+https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_1.conda#6837f3eff7dcea42ecd714ce1ac2b108
+https://conda.anaconda.org/conda-forge/noarch/iris-3.11.1-pyha770c72_0.conda#ee54ee24030934558ddfc033f178ecbe
+https://conda.anaconda.org/conda-forge/noarch/isodate-0.7.2-pyhd8ed1ab_1.conda#14c42a6334f38c412449f5a5e4043a5a
+https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.5-pyhd8ed1ab_0.conda#2752a6ed44105bfb18c9bef1177d9dcd
 https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2#91e27ef3d05cc772ce627e51cff111c4
-https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_0.conda#93a8e71256479c62074356ef6ebf501b
-https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_0.conda#776a8dd9e824f77abac30e6ef43a8f7a
+https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-3.0.0-pyhd8ed1ab_1.conda#fee3164ac23dfca50cfcc8b85ddefb81
+https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda#592132998493b3ff25fd7479396e8351
 https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19
-https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369
-https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda#dfe0528d0f1c16c1f7c528ea5536ab30
-https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhff2d567_1.conda#8508b703977f4c4ada34d657d051972c
+https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_1.conda#9a2be7d0089f5934b550933ca0d9fe85
+https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_1.conda#7ba3f09fceae6a120d664217e58fe686
+https://conda.anaconda.org/conda-forge/noarch/packaging-24.2-pyhd8ed1ab_2.conda#3bfed7e6228ebf2f7b9eaa47f1b4e2aa
 https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163
-https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh145f28c_0.conda#ca3afe2d7b893a8c8cdf489d30a2b1a3
-https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_0.conda#fd8f2b18b65bbf62e8f653100690c8d2
-https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda#d3483c8fc2dc2cc3f5cf43e26d60cabf
-https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_0.conda#5971cc64048943605f352f7f8612de6c
-https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyh6c4a22f_0.tar.bz2#b4613d7e7a493916d867842a6a148054
-https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda#844d9eb3b43095b031874477f7d70088
-https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda#b7f5c092b8f9800150d998a71b76d5a1
-https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.0-pyhd8ed1ab_1.conda#035c17fbf099f50ff60bf2eb303b0a83
-https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#92a889dc236a5197612bc85bee6d7174
-https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2#2a7de29fb590ca14b5243c4c812c8025
-https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_0.conda#ff8f2ef7f2636906b3781d0cf92388d0
-https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda#cb8a11b6d209e3d85e5094bdbd9ebd9c
-https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_0.conda#b6dfd90a2141e573e4b6a81630b56df5
-https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_0.conda#260009d03c9d5c0f111904d851f053dc
-https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda#5ede4753180c7a550a443c430dc8ab52
+https://conda.anaconda.org/conda-forge/noarch/pip-24.3.1-pyh145f28c_2.conda#76601b0ccfe1fe13a21a5f8813cb38de
+https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.6-pyhd8ed1ab_1.conda#577852c7e53901ddccc7e6a9959ddebe
+https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_1.conda#e9dcbce5f45f9ee500e728ae58b605b6
+https://conda.anaconda.org/conda-forge/noarch/pre-commit-4.0.1-pyha770c72_1.conda#d0ea6ed474bf7f6db88fc85e6dc809b1
+https://conda.anaconda.org/conda-forge/noarch/py-1.11.0-pyhd8ed1ab_1.conda#9eb1496f8aa577322f293ee0c72983fd
+https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyh29332c3_1.conda#12c566707c80111f9799308d9e265aef
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_1.conda#b38dc0206e2a530e5c2cf11dc086b31a
+https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.2.1-pyhd8ed1ab_0.conda#285e237b8f351e85e7574a2c7bfa6d46
+https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_1.conda#856b387c270e9eaf6e41e978057a2b62
+https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda#461219d1a5bd61342293efa2c0c90eac
+https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.4-pyhd8ed1ab_1.conda#799ed216dc6af62520f32aa39bc1c2bb
+https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_1.conda#79963c319d1be62c8fd3e34555816e01
+https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhff2d567_1.conda#5ba79d7c71f03c678c8ead841f347d6e
+https://conda.anaconda.org/conda-forge/noarch/pytz-2024.2-pyhd8ed1ab_1.conda#f26ec986456c30f6dff154b670ae140f
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_1.conda#a9b9368f3701a417eac9edbcae7cb737
 https://conda.anaconda.org/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda#fc80f7995e396cbaeabd23cf46c413dc
-https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda#ba9f7f0ec4f2a18de3e7bce67c4a431e
-https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_0.conda#7ed7b077f6c6ebcb5fc66f23985df487
-https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
+https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_1.conda#ac738a7f524d1b157e53fb9734f85e0e
+https://conda.anaconda.org/conda-forge/noarch/setuptools_scm-8.1.0-hd8ed1ab_1.conda#4b2757cbafd866a23faba9dd2b6fd43e
+https://conda.anaconda.org/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda#a451d576819089b0d672f18768be0f65
 https://conda.anaconda.org/conda-forge/noarch/snowballstemmer-2.2.0-pyhd8ed1ab_0.tar.bz2#4d22a9315e78c6827f806065957d566e
 https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda#3f144b2c34f8cb5a9abd9ed23a39c561
-https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_0.conda#05706dd5a145a9c91861495cd435409a
+https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_1.conda#1a3281a0dc355c02b5506d87db2d78ac
 https://conda.anaconda.org/conda-forge/noarch/sphinx-basic-ng-1.0.0b2-pyhd8ed1ab_2.conda#463d989a8f1506bcf51cc37d7beebdf1
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0.conda#9075bd8c033f0257122300db914e49c9
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_0.conda#b3bcc38c471ebb738854f52a36059b48
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0.conda#e25640d692c02e8acfff0372f547e940
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_0.conda#da1d979339e2714c30a8e806a33ec087
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192
-https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e
-https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2#f832c45a477c78bebd107098db465095
-https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_0.conda#ee8ab0fe4c8dfc5a6319f7f8246022fc
-https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_0.conda#34feccdd4177f2d3d53c73fc44fd9a37
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_1.conda#16e3f039c0aa6446513e94ab18a8784b
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_1.conda#910f28a05c178feba832f842155cbfff
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_1.conda#e9fb3fe8a5b758b4aff187d434f94f03
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-jsmath-1.0.1-pyhd8ed1ab_1.conda#fa839b5ff59e192f411ccc7dae6588bb
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_1.conda#00534ebcc0375929b45c3039b5ba7636
+https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda#3bc61f7161d28137797e038263c04c54
+https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_1.conda#b0dd904de08b7db706167240bf37b164
+https://conda.anaconda.org/conda-forge/noarch/tomli-2.2.1-pyhd8ed1ab_1.conda#ac944244f1fed2eb49bae07193ae8215
+https://conda.anaconda.org/conda-forge/noarch/toolz-1.0.0-pyhd8ed1ab_1.conda#40d0ed782a8aaa16ef248e68c06c168d
 https://conda.anaconda.org/conda-forge/noarch/tox-3.27.1-pyhd8ed1ab_0.tar.bz2#62b743e1030b17163c70654601afb60d
 https://conda.anaconda.org/conda-forge/noarch/tox-conda-0.9.2-pyhd8ed1ab_0.tar.bz2#8494c2ad4bef7bfe2e2d8603b4c2a185
-https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda#52d648bd608f5737b123f510bb5514b5
-https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda#ebe6952715e1d5eb567eeebf25250fa7
+https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_1.conda#b6a408c64b78ec7b779a3e5c7a902433
+https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_1.conda#d17f13df8b65464ca316cbc000a3cb64
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015
-https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.3-pyhd8ed1ab_0.conda#6b55867f385dd762ed99ea687af32a69
-https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.0-pyhd8ed1ab_0.conda#1d601bc1d28b5ce6d112b90f4b9b8ede
+https://conda.anaconda.org/conda-forge/noarch/urllib3-2.3.0-pyhd8ed1ab_0.conda#32674f8dbfb7b26410ed580dd3c10a29
+https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.28.1-pyhd8ed1ab_0.conda#680b1c287b10cefc8bda0530b217229f
 https://conda.anaconda.org/conda-forge/noarch/zipp-3.21.0-pyhd8ed1ab_1.conda#0c3cc595284c5e8f0f9900a9b228a332
diff --git a/src/CSET/__init__.py b/src/CSET/__init__.py
index 4e4f5641e..15a39f95f 100644
--- a/src/CSET/__init__.py
+++ b/src/CSET/__init__.py
@@ -25,8 +25,48 @@
 from CSET._common import ArgumentError
 
 
-def main():
-    """CLI entrypoint."""
+def main(raw_cli_args: list[str] = sys.argv):
+    """CLI entrypoint.
+
+    Handles argument parsing, setting up logging, top level error capturing,
+    and execution of the desired subcommand.
+    """
+    # Read arguments from the command line and CSET_ADDOPTS environment variable
+    # into an args object.
+    parser = setup_argument_parser()
+    cli_args = raw_cli_args[1:] + shlex.split(os.getenv("CSET_ADDOPTS", ""))
+    args, unparsed_args = parser.parse_known_args(cli_args)
+
+    setup_logging(args.verbose)
+
+    # Down here so runs after logging is setup.
+    logging.debug("CLI Arguments: %s", cli_args)
+
+    if args.subparser is None:
+        print("Please choose a command.", file=sys.stderr)
+        parser.print_usage()
+        sys.exit(127)
+
+    try:
+        # Execute the specified subcommand.
+        args.func(args, unparsed_args)
+    except ArgumentError as err:
+        # Error message for when needed template variables are missing.
+        print(err, file=sys.stderr)
+        parser.print_usage()
+        sys.exit(127)
+    except Exception as err:
+        # Provide slightly nicer error messages for unhandled exceptions.
+        print(err, file=sys.stderr)
+        # Display the time and full traceback when debug logging.
+        logging.debug("An unhandled exception occurred.")
+        if logging.root.isEnabledFor(logging.DEBUG):
+            raise
+        sys.exit(1)
+
+
+def setup_argument_parser() -> argparse.ArgumentParser:
+    """Create argument parser for CSET CLI."""
     parser = argparse.ArgumentParser(
         prog="cset", description="Convective Scale Evaluation Tool"
     )
@@ -134,41 +174,17 @@ def main():
     )
     parser_recipe_id.set_defaults(func=_recipe_id_command)
 
-    cli_args = sys.argv[1:] + shlex.split(os.getenv("CSET_ADDOPTS", ""))
-    args, unparsed_args = parser.parse_known_args(cli_args)
-
-    # Setup logging.
-    logging.captureWarnings(True)
-    loglevel = calculate_loglevel(args)
-    logger = logging.getLogger()
-    logger.setLevel(min(loglevel, logging.INFO))
-    stderr_log = logging.StreamHandler()
-    stderr_log.addFilter(lambda record: record.levelno >= loglevel)
-    stderr_log.setFormatter(logging.Formatter("%(asctime)s %(levelname)s %(message)s"))
-    logger.addHandler(stderr_log)
-
-    # Down here so runs after logging is setup.
-    logging.debug("CLI Arguments: %s", cli_args)
+    return parser
 
-    if args.subparser is None:
-        print("Please choose a command.", file=sys.stderr)
-        parser.print_usage()
-        sys.exit(127)
-
-    try:
-        # Execute the specified subcommand.
-        args.func(args, unparsed_args)
-    except ArgumentError as err:
-        logging.error(err)
-        parser.print_usage()
-        sys.exit(3)
 
-
-def calculate_loglevel(args) -> int:
-    """Calculate the logging level to apply.
+def setup_logging(verbosity: int):
+    """Configure logging level, format and output stream.
 
     Level is based on verbose argument and the LOGLEVEL environment variable.
     """
+    logging.captureWarnings(True)
+
+    # Calculate logging level.
     try:
         name_to_level = logging.getLevelNamesMapping()
     except AttributeError:
@@ -176,17 +192,25 @@ def calculate_loglevel(args) -> int:
         # implementation detail for older versions.
         name_to_level = logging._nameToLevel
     # Level from CLI flags.
-    if args.verbose >= 2:
-        loglevel = logging.DEBUG
-    elif args.verbose == 1:
-        loglevel = logging.INFO
+    if verbosity >= 2:
+        cli_loglevel = logging.DEBUG
+    elif verbosity == 1:
+        cli_loglevel = logging.INFO
     else:
-        loglevel = logging.WARNING
-    return min(
-        loglevel,
-        # Level from environment variable.
-        name_to_level.get(os.getenv("LOGLEVEL"), logging.ERROR),
-    )
+        cli_loglevel = logging.WARNING
+    # Level from environment variable.
+    env_loglevel = name_to_level.get(os.getenv("LOGLEVEL"), logging.ERROR)
+    loglevel = min(cli_loglevel, env_loglevel)
+
+    # Configure the root logger.
+    logger = logging.getLogger()
+    # Record everything at least INFO for the log file.
+    logger.setLevel(min(loglevel, logging.INFO))
+    stderr_log = logging.StreamHandler()
+    # Filter stderr log to just what is requested.
+    stderr_log.addFilter(lambda record: record.levelno >= loglevel)
+    stderr_log.setFormatter(logging.Formatter("%(asctime)s %(levelname)s %(message)s"))
+    logger.addHandler(stderr_log)
 
 
 def _bake_command(args, unparsed_args):
diff --git a/src/CSET/operators/__init__.py b/src/CSET/operators/__init__.py
index f447aa6bb..0b70e4f32 100644
--- a/src/CSET/operators/__init__.py
+++ b/src/CSET/operators/__init__.py
@@ -27,11 +27,13 @@
 import CSET.operators
 from CSET._common import parse_recipe
 from CSET.operators import (
+    ageofair,
     aggregate,
     collapse,
     constraints,
     convection,
     filters,
+    mesoscale,
     misc,
     plot,
     read,
@@ -42,6 +44,7 @@
 
 # Exported operators & functions to use elsewhere.
 __all__ = [
+    "ageofair",
     "aggregate",
     "collapse",
     "constraints",
@@ -49,6 +52,7 @@
     "execute_recipe",
     "filters",
     "get_operator",
+    "mesoscale",
     "misc",
     "plot",
     "read",
diff --git a/src/CSET/operators/_utils.py b/src/CSET/operators/_utils.py
index 8522c6ebe..239b6b77f 100644
--- a/src/CSET/operators/_utils.py
+++ b/src/CSET/operators/_utils.py
@@ -66,6 +66,42 @@ def get_cube_yxcoordname(cube: iris.cube.Cube) -> tuple[str, str]:
     return (y_coords[0], x_coords[0])
 
 
+def is_spatialdim(cube: iris.cube.Cube) -> bool:
+    """Determine whether a cube is has two spatial dimension coordinates.
+
+    If cube has both spatial dims, it will contain two unique coordinates
+    that explain space (latitude and longitude). The coordinates have to
+    be iterable/contain usable dimension data, as cubes may contain these
+    coordinates as scalar dimensions after being collapsed.
+
+    Arguments
+    ---------
+    cube: iris.cube.Cube
+        An iris cube which will be checked to see if it contains coordinate
+        names that match a pre-defined list of acceptable coordinate names.
+
+    Returns
+    -------
+    bool
+        If true, then the cube has a spatial projection and thus can be plotted
+        as a map.
+    """
+    # Acceptable horizontal coordinate names.
+    X_COORD_NAMES = ["longitude", "grid_longitude", "projection_x_coordinate", "x"]
+    Y_COORD_NAMES = ["latitude", "grid_latitude", "projection_y_coordinate", "y"]
+
+    # Get a list of coordinate names for the cube
+    coord_names = [coord.name() for coord in cube.dim_coords]
+    x_coords = [coord for coord in coord_names if coord in X_COORD_NAMES]
+    y_coords = [coord for coord in coord_names if coord in Y_COORD_NAMES]
+
+    # If there is one coordinate for both x and y direction return True.
+    if len(x_coords) == 1 and len(y_coords) == 1:
+        return True
+    else:
+        return False
+
+
 def is_transect(cube: iris.cube.Cube) -> bool:
     """Determine whether a cube is a transect.
 
diff --git a/src/CSET/operators/ageofair.py b/src/CSET/operators/ageofair.py
new file mode 100644
index 000000000..bd087ef21
--- /dev/null
+++ b/src/CSET/operators/ageofair.py
@@ -0,0 +1,474 @@
+# © Crown copyright, Met Office (2022-2024) and CSET contributors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+Age of air operator.
+
+The age of air diagnostic provides a qualtitative view of how old air is within
+the domain, by calculating a back trajectory at each grid point at each lead time
+to determine when air entered through the lateral boundary. This is useful for
+diagnosing how quickly air ventilates the domain, depending on its size and the
+prevailing meteorology.
+
+The diagnostic uses the u, v and w components of wind, along with geopotential height to
+perform the back trajectory. Data is first regridded to 0.5 degrees.
+
+Note: the code here does not consider sub-grid transport, and only uses the postprocessed
+velocity fields and geopotential height. Its applicability is for large-scale flow O(1000 km),
+and not small scale flow where mixing is likely to play a larger role.
+"""
+
+import datetime
+import logging
+import multiprocessing
+import os
+import tempfile
+from functools import partial
+from math import asin, cos, radians, sin, sqrt
+
+import numpy as np
+from iris.cube import Cube
+from scipy.ndimage import gaussian_filter
+
+from CSET.operators._utils import get_cube_yxcoordname
+
+
+def _calc_dist(coord_1, coord_2):
+    """Calculate distance between two coordinate tuples.
+
+    Arguments
+    ----------
+    coord_1: tuple
+        A tuple containing (latitude, longitude) coordinate floats
+    coord_2: tuple
+        A tuple containing (latitude, longitude) coordinate floats
+
+    Returns
+    -------
+    distance: float
+        Distance between the two coordinate points in meters
+
+    Notes
+    -----
+    The function uses the Haversine approximation to calculate distance in metres.
+
+    """
+    # Approximate radius of earth in m
+    # Source: https://nssdc.gsfc.nasa.gov/planetary/factsheet/earthfact.html
+    radius = 6378000
+
+    # Extract coordinates and convert to radians
+    lat1 = radians(coord_1[0])
+    lon1 = radians(coord_1[1])
+    lat2 = radians(coord_2[0])
+    lon2 = radians(coord_2[1])
+
+    # Find out delta latitude, longitude
+    dlon = lon2 - lon1
+    dlat = lat2 - lat1
+
+    # Compute distance
+    a = sin(dlat / 2) ** 2 + cos(lat1) * cos(lat2) * sin(dlon / 2) ** 2
+    c = 2 * asin(sqrt(a))
+    distance = radius * c
+
+    return distance
+
+
+def _aoa_core(
+    x_arr: np.ndarray,
+    y_arr: np.ndarray,
+    z_arr: np.ndarray,
+    g_arr: np.ndarray,
+    lats: np.ndarray,
+    lons: np.ndarray,
+    dt: int,
+    plev_idx: int,
+    timeunit: str,
+    cyclic: bool,
+    tmpdir: str,
+    lon_pnt: int,
+):
+    """AOA multiprocessing core.
+
+    Runs the core age of air code on a specific longitude point (all latitudes) for
+    parallelisation.
+
+    Arguments
+    ---------
+    x_arr: np.ndarray
+        A numpy array containing x wind data.
+    y_arr: np.ndarray
+        A numpy array containing y wind data.
+    z_arr: np.ndarray
+        A numpy array containing w wind data.
+    g_arr: np.ndarray
+        A numpy array containing geopotential height data.
+    lats: np.ndarray
+        A numpy array containing latitude points.
+    lons: np.ndarray
+        A numpy array containing longitude points.
+    dt: int
+        Gap between time intervals
+    plev_idx: int
+        Index of pressure level requested to run back trajectories on.
+    timeunit: str
+        Units of time, currently only accepts 'hour'
+    cyclic: bool
+        Whether to wrap at east/west boundaries. See compute_ageofair for a fuller description.
+    tmpdir: str
+        Path to store intermediate data
+    lon_pnt: int
+        Longitude point to extract and run back trajectories on for parallelisation.
+    """
+    # Initialise empty array to store age of air for this latitude strip.
+    ageofair_local = np.zeros((x_arr.shape[0], x_arr.shape[2]))
+    logging.debug("Working on %s", lon_pnt)
+
+    # Ignore leadtime 0 as this is trivial.
+    for leadtime in range(1, x_arr.shape[0]):
+        # Initialise leadtime slice with current leadtime.
+        ageofair_local[leadtime, :] = leadtime * dt
+        for lat_pnt in range(0, x_arr.shape[2]):
+            # Gridpoint initialised as within LAM by construction.
+            outside_lam = False
+
+            # If final column, look at dist from prev column, otherwise look at next column.
+            if lon_pnt == len(lons) - 1:
+                ew_spacing = _calc_dist(
+                    (lats[lat_pnt], lons[lon_pnt]), (lats[lat_pnt], lons[lon_pnt - 1])
+                )
+            else:
+                ew_spacing = _calc_dist(
+                    (lats[lat_pnt], lons[lon_pnt]), (lats[lat_pnt], lons[lon_pnt + 1])
+                )
+
+            # If final row, look at dist from row column, otherwise look at next row.
+            if lat_pnt == len(lats) - 1:
+                ns_spacing = _calc_dist(
+                    (lats[lat_pnt], lons[lon_pnt]), (lats[lat_pnt - 1], lons[lon_pnt])
+                )
+            else:
+                ns_spacing = _calc_dist(
+                    (lats[lat_pnt], lons[lon_pnt]), (lats[lat_pnt + 1], lons[lon_pnt])
+                )
+
+            # Go through past timeslices
+            for n in range(0, leadtime):
+                # First step back, so we use i,j coords to find out parcel location
+                # in terms of array point
+                if n == 0:
+                    x = lon_pnt
+                    y = lat_pnt
+                    z = plev_idx
+
+                # Only seek preceding wind if its inside domain.
+                if not outside_lam:
+                    # Get vector profile at current time - nearest whole gridpoint.
+                    u = x_arr[leadtime - n, int(z), int(y), int(x)]
+                    v = y_arr[leadtime - n, int(z), int(y), int(x)]
+                    w = z_arr[leadtime - n, int(z), int(y), int(x)]
+                    g = g_arr[leadtime - n, int(z), int(y), int(x)]
+
+                    # First, compute horizontal displacement using inverse of horizontal vector
+                    # Convert m/s to m/[samplingrate]h, then m ->  model gridpoints
+                    if timeunit == "hour":
+                        du = ((u * 60 * 60 * dt) / ew_spacing) * -1.0
+                        dv = ((v * 60 * 60 * dt) / ns_spacing) * -1.0
+                        dz = (w * 60 * 60 * dt) * -1.0
+
+                    # Get column of geopot height.
+                    g_col = g_arr[(leadtime - n), :, int(y), int(x)]
+
+                    # New geopotential height of parcel - store 'capacity' between timesteps as vertical motions smaller.
+                    if n == 0:
+                        new_g = g + dz
+                        pre_g = new_g
+                    else:
+                        new_g = pre_g + dz
+
+                    # Calculate which geopot level is closest to new geopot level.
+                    z = np.argmin(np.abs(g_col - new_g))
+
+                    # Update x,y location based on displacement. Z already updated
+                    x = x + du
+                    y = y + dv
+
+                    # If it is now outside domain, then save age and don't process further with outside LAM flag.
+                    # Support cyclic domains like K-SCALE, where x coord out of domain gets moved through dateline.
+                    if cyclic:
+                        if (
+                            x < 0
+                        ):  # as for example -0.3 would still be in domain, but x_arr.shape-0.3 would result in index error
+                            x = x_arr.shape[3] + x  # wrap back around dateline
+                        elif x >= x_arr.shape[3]:
+                            x = x_arr.shape[3] - x
+                    else:
+                        if x < 0 or x >= x_arr.shape[3]:
+                            ageofair_local[leadtime, lat_pnt] = n * dt
+                            outside_lam = True
+
+                    if y < 0 or y >= x_arr.shape[2]:
+                        ageofair_local[leadtime, lat_pnt] = n * dt
+                        outside_lam = True
+
+    # Save 3d array containing age of air
+    np.save(tmpdir + f"/aoa_frag_{lon_pnt:04d}.npy", ageofair_local)
+
+
+def compute_ageofair(
+    XWIND: Cube,
+    YWIND: Cube,
+    WWIND: Cube,
+    GEOPOT: Cube,
+    plev: int,
+    cyclic: bool = False,
+    multicore=True,
+):
+    """Compute back trajectories for a given forecast.
+
+    This allows us to determine when air entered through the boundaries. This will run on all available
+    lead-times, and thus return an age of air cube of shape ntime, nlat, nlon. It supports multiprocesing,
+    by iterating over longitude, or if set as None, will run on a single core, which is easier for debugging.
+    This function supports ensembles, where it will check if realization dimension exists and if so, loop
+    over this axis.
+
+    Arguments
+    ----------
+    XWIND: Cube
+        An iris cube containing the x component of wind on pressure levels, on a 0p5 degree grid.
+        Requires 4 dimensions, ordered time, pressure, latitude and longitude. Must contain at
+        least 2 time points to compute back trajectory.
+    YWIND: Cube
+        An iris cube in the same format as XWIND.
+    WWIND: Cube
+        An iris cube in the same format as XWIND.
+    GEOPOT: Cube
+        An iris cube in the same format as XWIND.
+    plev: int
+        The pressure level of which to compute the back trajectory on. The function will search to
+        see if this exists and if not, will raise an exception.
+    cyclic: bool
+        If cyclic is True, then the code will assume no east/west boundary and if a back trajectory
+        reaches the boundary, it will emerge out of the other side. This option is useful for large
+        domains such as the K-SCALE tropical channel, where there are only north/south boundaries in
+        the domain.
+    multicore: bool
+        If true, split up age of air diagnostic to use multiple cores (defaults to number of cores available to the process), otherwise run
+        using a single process, which is easier to debug if developing the code.
+
+    Returns
+    -------
+    ageofair_cube: Cube
+        An iris cube of the age of air data, with 3 dimensions (time, latitude, longitude).
+
+    Notes
+    -----
+    The age of air diagnostic was used in Warner et al. (2023) [Warneretal2023]_ to identify the relative
+    role of spin-up from initial conditions and lateral boundary conditions over tropical Africa to explore
+    the impact of new data assimilation techniques. A further paper is currently in review ([Warneretal2024]_)
+    which applies the diagnostic more widely to the Australian ACCESS convection-permitting models.
+
+    References
+    ----------
+    .. [Warneretal2023] Warner, J.L., Petch, J., Short, C., Bain, C., 2023. Assessing the impact of an NWP warm-start
+        system on model spin-up over tropical Africa. QJ, 149( 751), pp.621-636. doi:10.1002/qj.4429
+    .. [Warneretal2024] Diagnosing lateral boundary spin-up in regional models using an age of air diagnostic
+        James L. Warner, Charmaine N. Franklin, Belinda Roux, Shaun Cooper, Susan Rennie, Vinod
+        Kumar.
+        Submitted for Quarterly Journal of the Royal Meteorological Society.
+
+    """
+    # Set up temporary directory to store intermediate age of air slices.
+    tmpdir = tempfile.TemporaryDirectory(dir=os.getenv("CYLC_TASK_WORK_DIR"))
+    logging.info("Made tmpdir %s", tmpdir.name)
+
+    # Check that all cubes are of same size (will catch different dimension orders too).
+    if not XWIND.shape == YWIND.shape == WWIND.shape == GEOPOT.shape:
+        raise ValueError("Cubes are not the same shape")
+
+    # Get time units and assign for later
+    if str(XWIND.coord("time").units).startswith("hours since "):
+        timeunit = "hour"
+    else:
+        raise NotImplementedError("Unsupported time base")
+
+    # Make data non-lazy to speed up code.
+    logging.info("Making data non-lazy...")
+    x_arr = XWIND.data
+    y_arr = YWIND.data
+    z_arr = WWIND.data
+    g_arr = GEOPOT.data
+
+    # Get coord points
+    lat_name, lon_name = get_cube_yxcoordname(XWIND)
+    lats = XWIND.coord(lat_name).points
+    lons = XWIND.coord(lon_name).points
+    time = XWIND.coord("time").points
+
+    # Get time spacing of cube to determine whether the spacing in time is the
+    # same throughout the cube. If not, then not supported.
+    dt = XWIND.coord("time").points[1:] - XWIND.coord("time").points[:-1]
+    if np.all(dt == dt[0]):
+        dt = dt[0]
+    else:
+        raise NotImplementedError("Time intervals are not consistent")
+
+    # Some logic to determine which index each axis is, and check for ensembles.
+    dimension_mapping = {}
+    for coord in XWIND.dim_coords:
+        dim_index = XWIND.coord_dims(coord.name())[0]
+        dimension_mapping[coord.name()] = dim_index
+
+    if "realization" in dimension_mapping:
+        ensemble_mode = True
+        if dimension_mapping != {
+            "realization": 0,
+            "time": 1,
+            "pressure": 2,
+            lat_name: 3,
+            lon_name: 4,
+        }:
+            raise ValueError(
+                f"Dimension mapping not correct, ordered {dimension_mapping}"
+            )
+    else:
+        ensemble_mode = False
+        if dimension_mapping != {"time": 0, "pressure": 1, lat_name: 2, lon_name: 3}:
+            raise ValueError(
+                f"Dimension mapping not correct, ordered {dimension_mapping}"
+            )
+
+    # Smooth vertical velocity to 2sigma (standard for 0.5 degree).
+    logging.info("Smoothing vertical velocity...")
+    if ensemble_mode:
+        z_arr = gaussian_filter(z_arr, 2, mode="nearest", axes=(3, 4))
+    else:
+        z_arr = gaussian_filter(z_arr, 2, mode="nearest", axes=(2, 3))
+
+    # Get array index for user specified pressure level.
+    if plev not in XWIND.coord("pressure").points:
+        raise IndexError(f"Can't find plev {plev} in {XWIND.coord('pressure').points}")
+
+    # Find corresponding pressure level index
+    plev_idx = np.where(XWIND.coord("pressure").points == plev)[0][0]
+
+    # Initialise cube containing age of air.
+    if ensemble_mode:
+        ageofair_cube = Cube(
+            np.zeros(
+                (
+                    len(XWIND.coord("realization").points),
+                    len(time),
+                    len(lats),
+                    len(lons),
+                )
+            ),
+            long_name="age_of_air",
+            units="hours",
+            dim_coords_and_dims=[
+                (XWIND.coord("realization"), 0),
+                (XWIND.coord("time"), 1),
+                (XWIND.coord(lat_name), 2),
+                (XWIND.coord(lon_name), 3),
+            ],
+        )
+    else:
+        ageofair_cube = Cube(
+            np.zeros((len(time), len(lats), len(lons))),
+            long_name="age_of_air",
+            units="hours",
+            dim_coords_and_dims=[
+                (XWIND.coord("time"), 0),
+                (XWIND.coord(lat_name), 1),
+                (XWIND.coord(lon_name), 2),
+            ],
+        )
+
+    # Unix API for getting set of usable CPUs.
+    # See https://docs.python.org/3/library/os.html#os.cpu_count
+    if multicore:
+        num_usable_cores = len(os.sched_getaffinity(0))
+
+    logging.info("STARTING AOA DIAG...")
+    start = datetime.datetime.now()
+
+    # Main call for calculating age of air diagnostic
+    if ensemble_mode:
+        for e in range(0, len(XWIND.coord("realization").points)):
+            logging.info(f"Working on member {e}")
+
+            # Multiprocessing on each longitude slice
+            func = partial(
+                _aoa_core,
+                np.copy(x_arr[e, :, :, :, :]),
+                np.copy(y_arr[e, :, :, :, :]),
+                np.copy(z_arr[e, :, :, :, :]),
+                np.copy(g_arr[e, :, :, :, :]),
+                lats,
+                lons,
+                dt,
+                plev_idx,
+                timeunit,
+                cyclic,
+                tmpdir.name,
+            )
+            if multicore:
+                with multiprocessing.Pool(num_usable_cores) as pool:
+                    pool.map(func, range(0, XWIND.shape[4]))
+            else:
+                # Convert to list to ensure everything is processed.
+                list(map(func, range(0, XWIND.shape[4])))
+
+            for i in range(0, XWIND.shape[4]):
+                file = f"{tmpdir.name}/aoa_frag_{i:04}.npy"
+                ageofair_cube.data[e, :, :, i] = np.load(file)
+
+    else:
+        # Multiprocessing on each longitude slice
+        func = partial(
+            _aoa_core,
+            np.copy(x_arr),
+            np.copy(y_arr),
+            np.copy(z_arr),
+            np.copy(g_arr),
+            lats,
+            lons,
+            dt,
+            plev_idx,
+            timeunit,
+            cyclic,
+            tmpdir.name,
+        )
+        if multicore:
+            with multiprocessing.Pool(num_usable_cores) as pool:
+                pool.map(func, range(0, XWIND.shape[3]))
+        else:
+            # Convert to list to ensure everything is processed.
+            list(map(func, range(0, XWIND.shape[3])))
+
+        for i in range(0, XWIND.shape[3]):
+            file = f"{tmpdir.name}/aoa_frag_{i:04}.npy"
+            ageofair_cube.data[:, :, i] = np.load(file)
+
+    # Verbose for time taken to run, and collate tmp ndarrays into final cube, and return
+    logging.info(
+        "AOA DIAG DONE, took %s s",
+        (datetime.datetime.now() - start).total_seconds(),
+    )
+
+    # Clean tmpdir
+    tmpdir.cleanup()
+
+    return ageofair_cube
diff --git a/src/CSET/operators/constraints.py b/src/CSET/operators/constraints.py
index fa8e80dda..438555115 100644
--- a/src/CSET/operators/constraints.py
+++ b/src/CSET/operators/constraints.py
@@ -92,6 +92,14 @@ def generate_level_constraint(
     Returns
     -------
     constraint: iris.Constraint
+
+    Notes
+    -----
+    Due to the specification of ``coordinate`` as an argument any iterable
+    coordinate can be stratified with this function. Therefore,
+    ``"realization"`` is a valid option. Subsequently, ``levels`` specifies the
+    ensemble members, or group of ensemble members you wish to constrain your
+    results over.
     """
     # If asterisks, then return all levels for given coordinate.
     if levels == "*":
diff --git a/src/CSET/operators/filters.py b/src/CSET/operators/filters.py
index 298e83d6e..fdd70ffbf 100644
--- a/src/CSET/operators/filters.py
+++ b/src/CSET/operators/filters.py
@@ -14,11 +14,56 @@
 
 """Operators to perform various kind of filtering."""
 
+import logging
 from typing import Union
 
 import iris
 import iris.cube
 import iris.exceptions
+import numpy as np
+
+
+def apply_mask(
+    original_field: iris.cube.Cube,
+    mask: iris.cube.Cube,
+) -> iris.cube.Cube:
+    """Apply a mask to given data as a masked array.
+
+    Parameters
+    ----------
+    original_field: iris.cube.Cube
+        The field to be masked.
+    mask: iris.cube.Cube
+        The mask being applied to the original field.
+
+    Returns
+    -------
+    masked_field: iris.cube.Cube
+        A cube of the masked field.
+
+    Notes
+    -----
+    The mask is first converted to 1s and NaNs before multiplication with
+    the original data.
+
+    As discussed in generate_mask, you can combine multiple masks in a
+    recipe using other functions before applying the mask to the data.
+
+    Examples
+    --------
+    >>> land_points_only = apply_mask(temperature, land_mask)
+    """
+    # Ensure mask is only 1s or NaNs.
+    mask.data[mask.data == 0] = np.nan
+    mask.data[~np.isnan(mask.data)] = 1
+    logging.info(
+        "Mask set to 1 or 0s, if addition of multiple masks results"
+        "in values > 1 these are set to 1."
+    )
+    masked_field = original_field.copy()
+    masked_field.data *= mask.data
+    masked_field.attributes["mask"] = f"mask_of_{original_field.name()}"
+    return masked_field
 
 
 def filter_cubes(
@@ -93,3 +138,68 @@ def filter_multiple_cubes(
             "The constraints don't produce a single cube per constraint."
         ) from err
     return filtered_cubes
+
+
+def generate_mask(
+    mask_field: iris.cube.Cube,
+    condition: str,
+    value: float,
+) -> iris.cube.Cube:
+    """Generate a mask to remove data not meeting conditions.
+
+    Parameters
+    ----------
+    mask_field: iris.cube.Cube
+        The field to be used for creating the mask.
+    condition: str
+        The type of condition applied, six available options:
+        '==','!=','<','<=','>', and '>='.
+    value: float
+        The value on the right hand side of the condition.
+
+    Returns
+    -------
+    mask: iris.cube.Cube
+        Mask meeting the condition applied.
+
+    Raises
+    ------
+    ValueError: Unexpected value for condition. Expected ==, !=, >, >=, <, <=.
+                Got {condition}.
+        Raised when condition is not supported.
+
+    Notes
+    -----
+    The mask is created in the opposite sense to numpy.ma.masked_arrays. This
+    method was chosen to allow easy combination of masks together outside of
+    this function using misc.addition or misc.multiplication depending on
+    applicability. The combinations can be of any fields such as orography >
+    500 m, and humidity == 100 %.
+
+    The conversion to a masked array occurs in the apply_mask routine, which
+    should happen after all relevant masks have been combined.
+
+    Examples
+    --------
+    >>> land_mask = generate_mask(land_sea_mask,'==',1)
+    """
+    mask = mask_field.copy()
+    mask.data = np.zeros(mask.data.shape)
+    match condition:
+        case "==":
+            mask.data[mask_field.data == value] = 1
+        case "!=":
+            mask.data[mask_field.data != value] = 1
+        case ">":
+            mask.data[mask_field.data > value] = 1
+        case ">=":
+            mask.data[mask_field.data >= value] = 1
+        case "<":
+            mask.data[mask_field.data < value] = 1
+        case "<=":
+            mask.data[mask_field.data <= value] = 1
+        case _:
+            raise ValueError("""Unexpected value for condition. Expected ==, !=,
+                              >, >=, <, <=. Got {condition}.""")
+    mask.attributes["mask"] = f"mask_for_{mask_field.name()}_{condition}_{value}"
+    return mask
diff --git a/src/CSET/operators/mesoscale.py b/src/CSET/operators/mesoscale.py
new file mode 100644
index 000000000..900a12f36
--- /dev/null
+++ b/src/CSET/operators/mesoscale.py
@@ -0,0 +1,117 @@
+# © Crown copyright, Met Office (2022-2024) and CSET contributors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""A module containing different diagnostics for mesoscales.
+
+The diagnostics here are applicable at mesoscales and apply generally
+rather than for specific aspects of mesoscale meteorology (e.g. convection).
+For specific aspects, the user is referred to other modules available in
+CSET.
+
+"""
+
+import logging
+
+import iris
+from scipy.ndimage import gaussian_filter, uniform_filter
+
+from CSET.operators._utils import get_cube_yxcoordname
+
+
+def spatial_perturbation_field(
+    original_field: iris.cube.Cube,
+    apply_gaussian_filter: bool = True,
+    filter_scale: int = 40,
+) -> iris.cube.Cube:
+    """Calculate a spatial perturbation field.
+
+    Parameters
+    ----------
+    original_field: iris.cube.Cube
+        Iris cube containing data to smooth, supporting multiple dimensions
+        (at least two spatial dimensions must be supplied, i.e. 2D).
+    apply_gaussian_filter: boolean, optional
+        If set to True a Gaussian filter is applied; if set to False
+        a Uniform filter is applied.
+        Default is True.
+    filter_scale: int, optional
+        Scale at which to define the filter in grid boxes. If the
+        filter is a Gaussian convolution this value represents the
+        standard deviation of the Gaussian kernel.
+        Default is 40 grid boxes.
+
+    Returns
+    -------
+    pert_field: iris.cube.Cube
+        An iris cube of the spatial perturbation field.
+
+    Notes
+    -----
+    In mesoscale meteorology the perturbation field is more important than the
+    balanced flows for process understanding. This function is designed
+    to create spatial perturbation fields based on smoothing with a Gaussian
+    kernel or a uniform kernel.
+
+    The kernels are defined by the filter_scale, which for mesoscale
+    perturbations should be between an approximate cloud separation distance,
+    of 30 km, and synoptic scale variations (1000 km). In practice any
+    value between these ranges should provided broadly consistent results (e.g.
+    [Flacketal2016]_). The Gaussian kernel will give greater importance to
+    areas closer to the event and will produce a smooth perturbation field.
+    The uniform kernel will produce a smooth perturbation field but will not
+    give local features as much prominence.
+
+    Caution should be applied to boundaries, particularly if the domain is of
+    variable resolution, as some numerical artifacts could be introduced.
+
+    References
+    ----------
+    .. [Flacketal2016] Flack, D.L.A., Plant, R.S., Gray, S.L., Lean, H.W.,
+       Keil, C. and Craig, G.C. (2016) "Characterisation of Convective
+       Regimes over the British Isles." Quarterly Journal of the Royal
+       Meteorological Society, vol. 142, 1541-1553. doi:10.1002/qj.2758
+
+    Examples
+    --------
+    >>> Temperature_perturbation = meso.spatial_perturbation_fields(Temp,
+                                   gaussian_filter=True,filter_scale=40)
+    >>> iplt.pcolormesh(Temperature_perturabtion[0,:,:],cmap=mpl.cm.bwr)
+    >>> plt.gca().coastlines('10m')
+    >>> plt.clim(-5,5)
+    >>> plt.colorbar()
+    >>> plt.show()
+
+    """
+    pert_field = original_field.copy()
+    # find axes of spatial coordinates in field
+    coords = [coord.name() for coord in original_field.coords()]
+    # axes tuple containing latitude, longitude coordinate name.
+    axes = (
+        coords.index(get_cube_yxcoordname(original_field)[0]),
+        coords.index(get_cube_yxcoordname(original_field)[1]),
+    )
+    # apply convolution depending on type used
+    if apply_gaussian_filter:
+        filter_type = "Gaussian"
+        logging.info("Gaussian filter applied.")
+        pert_field.data -= gaussian_filter(original_field.data, filter_scale, axes=axes)
+    else:
+        logging.info("Uniform filter applied.")
+        filter_type = "Uniform"
+        pert_field.data -= uniform_filter(original_field.data, filter_scale, axes=axes)
+    # provide attributes to cube to indicate spatial perturbation field
+    pert_field.attributes["perturbation_field"] = (
+        f"{filter_type}_with_{str(filter_scale)}_grid_point_filter_scale"
+    )
+    return pert_field
diff --git a/src/CSET/operators/read.py b/src/CSET/operators/read.py
index 73f439ec3..0ed7661c4 100644
--- a/src/CSET/operators/read.py
+++ b/src/CSET/operators/read.py
@@ -83,6 +83,8 @@ def read_cube(
     if len(cubes) == 1:
         return cubes[0]
     else:
+        # Log cube details so you can see why they are not merging.
+        logging.debug("Non-merging cubes:\n%s", "\n".join(str(cube) for cube in cubes))
         raise ValueError(
             f"Constraint doesn't produce single cube. {constraint}\n{cubes}"
         )
@@ -198,6 +200,8 @@ def callback(cube: iris.cube.Cube, field, filename: str):
         _lfric_normalise_callback(cube, field, filename)
         _lfric_time_coord_fix_callback(cube, field, filename)
         _longitude_fix_callback(cube, field, filename)
+        _fix_spatialcoord_name_callback(cube)
+        _fix_pressurecoord_name_callback(cube)
 
     return callback
 
@@ -276,7 +280,7 @@ def _lfric_normalise_callback(cube: iris.cube.Cube, field, filename):
     # Remove unwanted attributes.
     cube.attributes.pop("timeStamp", None)
     cube.attributes.pop("uuid", None)
-    # There might also be a "name" attribute to ditch, which is the filename.
+    cube.attributes.pop("name", None)
 
     # Sort STASH code list.
     stash_list = cube.attributes.get("um_stash_source")
@@ -333,6 +337,52 @@ def _longitude_fix_callback(cube: iris.cube.Cube, field, filename):
     return cube
 
 
+def _fix_spatialcoord_name_callback(cube: iris.cube.Cube):
+    """Check latitude and longitude coordinates name.
+
+    This is necessary as some models define their grid as 'grid_latitude' and 'grid_longitude'
+    and this means that recipes will fail - particularly if the user is comparing multiple models
+    where the spatial coordinate names differ.
+    """
+    import CSET.operators._utils as utils
+
+    # Check if cube is spatial.
+    if not utils.is_spatialdim(cube):
+        # Don't modify non-spatial cubes.
+        return cube
+
+    # Get spatial coords.
+    y_name, x_name = utils.get_cube_yxcoordname(cube)
+
+    if y_name in ["latitude"] and cube.coord(y_name).units in [
+        "degrees",
+        "degrees_north",
+        "degrees_south",
+    ]:
+        cube.coord(y_name).rename("grid_latitude")
+    if x_name in ["longitude"] and cube.coord(x_name).units in [
+        "degrees",
+        "degrees_west",
+        "degrees_east",
+    ]:
+        cube.coord(x_name).rename("grid_longitude")
+
+
+def _fix_pressurecoord_name_callback(cube: iris.cube.Cube):
+    """Rename pressure_level coordinate to pressure if it exists.
+
+    This problem was raised because the AIFS model data from ECMWF
+    defines the pressure coordinate with the name 'pressure_level' rather
+    than compliant CF coordinate names
+    """
+    # We only want to modify instances where the coordinate system is actually
+    # latitude/longitude, and not touch the cube if the coordinate system is say
+    # meters.
+    for coord in cube.dim_coords:
+        if coord.name() == "pressure_level":
+            coord.rename("pressure")
+
+
 def _check_input_files(input_path: Path | str, filename_pattern: str) -> Iterable[Path]:
     """Get an iterable of files to load, and check that they all exist.
 
diff --git a/src/CSET/operators/regrid.py b/src/CSET/operators/regrid.py
index 59b08d52d..242003c52 100644
--- a/src/CSET/operators/regrid.py
+++ b/src/CSET/operators/regrid.py
@@ -158,7 +158,7 @@ def regrid_onto_xyspacing(
         y_coord, x_coord = get_cube_yxcoordname(cube)
 
         # List of supported grids - check if it is compatible
-        supported_grids = (iris.coord_systems.GeogCS,)
+        supported_grids = (iris.coord_systems.GeogCS, iris.coord_systems.RotatedGeogCS)
         if not isinstance(cube.coord(x_coord).coord_system, supported_grids):
             raise NotImplementedError(
                 f"Does not currently support {cube.coord(x_coord).coord_system} regrid method"
diff --git a/src/CSET/recipes/Example_Gaussian_Spatial_Perturbation.yaml b/src/CSET/recipes/Example_Gaussian_Spatial_Perturbation.yaml
new file mode 100644
index 000000000..78cbbbb25
--- /dev/null
+++ b/src/CSET/recipes/Example_Gaussian_Spatial_Perturbation.yaml
@@ -0,0 +1,28 @@
+category: Surface Spatial Plot
+title: Mesoscale Gaussian Filter Spatial Perturbation Plot
+description: |
+  Creates a spatial map of a perturbation field based on a Gaussian filter
+  over a specified halfwidth in number of grid points.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: mesoscale.spatial_perturbation_field
+    original_field:
+        operator: filters.filter_cubes
+        constraint:
+            operator: constraints.combine_constraints
+            variable_constraint:
+                operator: constraints.generate_var_constraint
+                varname: surface_air_temperature
+            cell_method_constraint:
+                operator: constraints.generate_cell_methods_constraint
+                cell_methods: []
+    Gaussian_filter: True
+    filter_scale: 40
+
+  - operator: plot.spatial_pcolormesh_plot
+    sequence_coordinate: time
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
diff --git a/src/CSET/recipes/Example_Uniform_Spatial_Perturbation.yaml b/src/CSET/recipes/Example_Uniform_Spatial_Perturbation.yaml
new file mode 100644
index 000000000..c78033302
--- /dev/null
+++ b/src/CSET/recipes/Example_Uniform_Spatial_Perturbation.yaml
@@ -0,0 +1,28 @@
+category: Surface Spatial Plot
+title: Mesoscale Uniform Filter Spatial Perturbation Plot
+description: |
+  Creates a spatial map of a perturbation field based on a uniform filter
+  over a specified filter scale in number of grid points.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: mesoscale.spatial_perturbation_field
+    original_field:
+        operator: filters.filter_cubes
+        constraint:
+            operator: constraints.combine_constraints
+            variable_constraint:
+                operator: constraints.generate_var_constraint
+                varname: surface_air_temperature
+            cell_method_constraint:
+                operator: constraints.generate_cell_methods_constraint
+                cell_methods: []
+    Gaussian_filter: False
+    filter_scale: 40
+
+  - operator: plot.spatial_pcolormesh_plot
+    sequence_coordinate: time
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
diff --git a/src/CSET/recipes/ageofair.yaml b/src/CSET/recipes/ageofair.yaml
new file mode 100644
index 000000000..a2cf0b7ed
--- /dev/null
+++ b/src/CSET/recipes/ageofair.yaml
@@ -0,0 +1,88 @@
+category: Diagnostics
+title: $MODEL_NAME Age of Air Diagnostic at $AOA_PLEV
+description: |
+  Extracts data required for, and calculates the age of air diagnostic on a given pressure levels. This is then plotted on a map projection for each lead-time.
+  The age of air diagnostic provides a qualtitative view of how old air is within
+  the domain, by calculating a back trajectory at each grid point at each lead time
+  to determine when air entered through the lateral boundary. This is useful for
+  diagnosing how quickly air ventilates the domain, depending on its size and the
+  prevailing meteorology.
+  The diagnostic uses the u, v and w components of wind, along with geopotential height to
+  perform the back trajectory. Data is first regridded to 0.5 degrees.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: ageofair.compute_ageofair
+    XWIND:
+        operator: regrid.regrid_onto_xyspacing
+        xspacing: 0.5
+        yspacing: 0.5
+        method: Linear
+        toregrid:
+            operator: filters.filter_cubes
+            constraint:
+                operator: constraints.combine_constraints
+                variable_constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: x_wind
+                pressure_level_constraint:
+                    operator: constraints.generate_level_constraint
+                    coordinate: pressure
+                    levels: "*"
+    YWIND:
+        operator: regrid.regrid_onto_xyspacing
+        xspacing: 0.5
+        yspacing: 0.5
+        method: Linear
+        toregrid:
+            operator: filters.filter_cubes
+            constraint:
+                operator: constraints.combine_constraints
+                variable_constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: y_wind
+                pressure_level_constraint:
+                    operator: constraints.generate_level_constraint
+                    coordinate: pressure
+                    levels: "*"
+    WWIND:
+        operator: regrid.regrid_onto_xyspacing
+        xspacing: 0.5
+        yspacing: 0.5
+        method: Linear
+        toregrid:
+            operator: filters.filter_cubes
+            constraint:
+                operator: constraints.combine_constraints
+                variable_constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: upward_air_velocity
+                pressure_level_constraint:
+                    operator: constraints.generate_level_constraint
+                    coordinate: pressure
+                    levels: "*"
+    GEOPOT:
+        operator: regrid.regrid_onto_xyspacing
+        xspacing: 0.5
+        yspacing: 0.5
+        method: Linear
+        toregrid:
+            operator: filters.filter_cubes
+            constraint:
+                operator: constraints.combine_constraints
+                variable_constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: geopotential_height
+                pressure_level_constraint:
+                    operator: constraints.generate_level_constraint
+                    coordinate: pressure
+                    levels: "*"
+
+    plev: $AOA_PLEV
+    cyclic: $AOA_CYCLIC
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
+
+  - operator: plot.spatial_contour_plot
diff --git a/src/CSET/recipes/example_combined_mask_addition.yaml b/src/CSET/recipes/example_combined_mask_addition.yaml
new file mode 100644
index 000000000..9e14eb9af
--- /dev/null
+++ b/src/CSET/recipes/example_combined_mask_addition.yaml
@@ -0,0 +1,50 @@
+category: Quick Look
+title: Example adding masks for 'OR' type filters
+description: |
+  Generates and applies two masks, and adds them together for more complex stratified analysis.
+  Examples would include masking for variables outside a range, e.g. temperature < 273 K or temperature
+  > 313 K. Addition of masks would be akin to finding a probability of two events happening at the same time in different places.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: filters.apply_mask
+    original_field:
+        operator: filters.filter_cubes
+        constraint:
+            operator: constraints.combine_constraints
+            variable_constraint:
+                operator: constraints.generate_var_constraint
+                varname: surface_air_temperature
+            cell_method_constraint:
+                operator: constraints.generate_cell_methods_constraint
+                cell_methods: []
+    masks:
+        operator: misc.addition
+        addend_1:
+            operator: filters.generate_mask
+            mask_field:
+                operator: filters.filter_cubes
+                constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: surface_altitude
+            condition: '<'
+            value: 500
+        addend_2:
+            operator: filters.generate_mask
+            mask_field:
+                operator: filters.filter_cubes
+                constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: surface_altitude
+            condition: '>'
+            value: 200
+
+  - operator: collapse.collapse
+    coordinate: [grid_latitude, grid_longitude]
+    method: MEAN
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
+
+  - operator: plot.plot_line_series
diff --git a/src/CSET/recipes/example_combined_mask_multiplication.yaml b/src/CSET/recipes/example_combined_mask_multiplication.yaml
new file mode 100644
index 000000000..e7c725cde
--- /dev/null
+++ b/src/CSET/recipes/example_combined_mask_multiplication.yaml
@@ -0,0 +1,50 @@
+category: Quick Look
+title: Example adding masks for 'AND' type filters
+description: |
+  Generates and applies two masks, and multiplies them together for more complex stratified analysis.
+  Examples would include masking for temperature > 273 K and orography > 500 m. Multiplication of masks
+   would be akin to finding a probability of two events happening at the same time in the same place.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: filters.apply_mask
+    original_field:
+        operator: filters.filter_cubes
+        constraint:
+            operator: constraints.combine_constraints
+            variable_constraint:
+                operator: constraints.generate_var_constraint
+                varname: surface_air_temperature
+            cell_method_constraint:
+                operator: constraints.generate_cell_methods_constraint
+                cell_methods: []
+    masks:
+        operator: misc.multiplication
+        multiplicand:
+            operator: filters.generate_mask
+            mask_field:
+                operator: filters.filter_cubes
+                constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: surface_altitude
+            condition: '>'
+            value: 500
+        multiplier:
+            operator: filters.generate_mask
+            mask_field:
+                operator: filters.filter_cubes
+                constraint:
+                    operator: constraints.generate_var_constraint
+                    varname: surface_air_temperature
+            condition: '<='
+            value: 273
+
+  - operator: collapse.collapse
+    coordinate: [grid_latitude, grid_longitude]
+    method: MEAN
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
+
+  - operator: plot.plot_line_series
diff --git a/src/CSET/recipes/example_simple_mask.yaml b/src/CSET/recipes/example_simple_mask.yaml
new file mode 100644
index 000000000..d39d8d683
--- /dev/null
+++ b/src/CSET/recipes/example_simple_mask.yaml
@@ -0,0 +1,36 @@
+category: Quick Look
+title: Example simple mask application
+description: Generates and applies a simple mask to a field for stratified analysis.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: filters.apply_mask
+    original_field:
+        operator: filters.filter_cubes
+        constraint:
+            operator: constraints.combine_constraints
+            variable_constraint:
+                operator: constraints.generate_var_constraint
+                varname: surface_air_temperature
+            cell_method_constraint:
+                operator: constraints.generate_cell_methods_constraint
+                cell_methods: []
+    masks:
+        operator: filters.generate_mask
+        mask_field:
+            operator: filters.filter_cubes
+            constraint:
+                operator: constraints.generate_var_constraint
+                varname: surface_altitude
+        condition: '>='
+        value: 500
+
+  - operator: collapse.collapse
+    coordinate: [grid_latitude, grid_longitude]
+    method: MEAN
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
+
+  - operator: plot.plot_line_series
diff --git a/src/CSET/recipes/example_spatial_plot_of_mask.yaml b/src/CSET/recipes/example_spatial_plot_of_mask.yaml
new file mode 100644
index 000000000..c2e7b8883
--- /dev/null
+++ b/src/CSET/recipes/example_spatial_plot_of_mask.yaml
@@ -0,0 +1,21 @@
+category: Surface Spatial Plot
+title: Example plot of a mask
+description: |
+  Generates a mask and then provides a spatial map of the mask.
+
+steps:
+  - operator: read.read_cubes
+
+  - operator: filters.generate_mask
+    mask_field:
+        operator: filters.filter_cubes
+        constraint:
+            operator: constraints.generate_var_constraint
+            varname: surface_altitude
+    condition: '>='
+    value: 500
+
+  - operator: plot.spatial_pcolormesh_plot
+
+  - operator: write.write_cube_to_nc
+    overwrite: True
diff --git a/src/CSET/recipes/generic_surface_histogram_series.yaml b/src/CSET/recipes/generic_surface_histogram_series.yaml
index ed34358a0..56372b912 100644
--- a/src/CSET/recipes/generic_surface_histogram_series.yaml
+++ b/src/CSET/recipes/generic_surface_histogram_series.yaml
@@ -1,5 +1,5 @@
 category: Histogram
-title: $VARNAME Surface Level Histogram Plot
+title: $MODEL_NAME $VARNAME Surface Level Histogram Plot
 description: |
   Extracts and plots the probability density of surface `$VARNAME`. It uses
   [`plt.hist`](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html)
diff --git a/tests/operators/test_ageofair.py b/tests/operators/test_ageofair.py
new file mode 100644
index 000000000..ae2646d73
--- /dev/null
+++ b/tests/operators/test_ageofair.py
@@ -0,0 +1,239 @@
+# © Crown copyright, Met Office (2022-2024) and CSET contributors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Tests for age of air operator."""
+
+import iris
+import iris.cube
+import numpy as np
+import pytest
+
+import CSET.operators.ageofair as ageofair
+
+
+@pytest.fixture()
+def xwind() -> iris.cube.Cube:
+    """Get regridded xwind to run tests on."""
+    return iris.load_cube("tests/test_data/ageofair/aoa_in_rgd.nc", "x_wind")
+
+
+@pytest.fixture()
+def ywind() -> iris.cube.Cube:
+    """Get regridded ywind to run tests on."""
+    return iris.load_cube("tests/test_data/ageofair/aoa_in_rgd.nc", "y_wind")
+
+
+@pytest.fixture()
+def wwind() -> iris.cube.Cube:
+    """Get regridded wwind to run tests on."""
+    return iris.load_cube(
+        "tests/test_data/ageofair/aoa_in_rgd.nc", "upward_air_velocity"
+    )
+
+
+@pytest.fixture()
+def geopot() -> iris.cube.Cube:
+    """Get regridded geopotential height to run tests on."""
+    return iris.load_cube(
+        "tests/test_data/ageofair/aoa_in_rgd.nc", "geopotential_height"
+    )
+
+
+@pytest.fixture()
+def ens_regridded() -> iris.cube.CubeList:
+    """Get regridded ensemble cubelist to run tests on."""
+    return iris.load("tests/test_data/ageofair/aoa_in_ens.nc")
+
+
+@pytest.fixture()
+def ens_regridded_out() -> iris.cube.Cube:
+    """Get age of air ensemble output to check results are consistent."""
+    return iris.load("tests/test_data/ageofair/aoa_out_ens.nc")
+
+
+def test_calc_dist():
+    """Test distance calculated from calc_dist in age of air calculation.
+
+    Allow a tolerance of 20km (as we expect some error).
+    """
+    # London and Johannesburg coordinates to 2 decimal places.
+    london_coords = (51.51, -0.13)
+    johanbg_coords = (-26.21, 28.03)
+
+    dist = ageofair._calc_dist(london_coords, johanbg_coords)
+    actual_distance = 9068670  # Air line according to Google?!
+
+    assert np.allclose(dist, actual_distance, rtol=1e-06, atol=20000)
+
+
+def test_aoa_nocyclic(xwind, ywind, wwind, geopot):
+    """Test case when not cyclic."""
+    assert np.allclose(
+        ageofair.compute_ageofair(
+            xwind, ywind, wwind, geopot, plev=500, cyclic=False
+        ).data,
+        iris.load_cube("tests/test_data/ageofair/aoa_out_nocyclic.nc").data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_aoa_cyclic_parallelthreads(xwind, ywind, wwind, geopot):
+    """Test case when cyclic with parallel threads."""
+    assert np.allclose(
+        ageofair.compute_ageofair(
+            xwind,
+            ywind,
+            wwind,
+            geopot,
+            plev=500,
+            cyclic=True,
+            multicore=True,
+        ).data,
+        iris.load_cube("tests/test_data/ageofair/aoa_out_cyclic.nc").data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_aoa_cyclic_singlethread(xwind, ywind, wwind, geopot):
+    """Test case when cyclic with no parallelisation."""
+    assert np.allclose(
+        ageofair.compute_ageofair(
+            xwind,
+            ywind,
+            wwind,
+            geopot,
+            plev=500,
+            cyclic=True,
+            multicore=False,
+        ).data,
+        iris.load_cube("tests/test_data/ageofair/aoa_out_cyclic.nc").data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_aoa_mismatched_size(xwind, ywind, wwind, geopot):
+    """Mismatched array size raises error."""
+    ywind = ywind[:, :, 1:, :]
+    with pytest.raises(ValueError):
+        ageofair.compute_ageofair(xwind, ywind, wwind, geopot, plev=500, cyclic=True)
+
+
+def test_aoa_timefreq(xwind, ywind, wwind, geopot):
+    """Variable time intervals raises NotImplemented error."""
+    with pytest.raises(NotImplementedError):
+        ageofair.compute_ageofair(
+            xwind[[1, 2, 4, 5], :, :, :],
+            ywind[[1, 2, 4, 5], :, :, :],
+            wwind[[1, 2, 4, 5], :, :, :],
+            geopot[[1, 2, 4, 5], :, :, :],
+            plev=500,
+            cyclic=True,
+        )
+
+
+def test_aoa_timeunits(xwind, ywind, wwind, geopot):
+    """Time intervals that are not hourly raises NotImplemented error."""
+    xwind.coord("time").units = "days since 1970-01-01 00:00:00"
+    with pytest.raises(NotImplementedError):
+        ageofair.compute_ageofair(xwind, ywind, wwind, geopot, plev=500, cyclic=True)
+
+
+def test_aoa_plevreq(xwind, ywind, wwind, geopot):
+    """Pressure level requested that doesn't exist raises Index error."""
+    with pytest.raises(IndexError):
+        ageofair.compute_ageofair(xwind, ywind, wwind, geopot, plev=123, cyclic=True)
+
+
+def test_aoa_ens(ens_regridded):
+    """Test case including vertical velocity and not cyclic for ensemble data."""
+    assert np.allclose(
+        ageofair.compute_ageofair(
+            ens_regridded.extract("x_wind")[0],
+            ens_regridded.extract("y_wind")[0],
+            ens_regridded.extract("upward_air_velocity")[0],
+            ens_regridded.extract("geopotential_height")[0],
+            plev=200,
+            cyclic=False,
+        ).data,
+        iris.load_cube("tests/test_data/ageofair/aoa_out_ens.nc").data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_aoa_ens_multicore(ens_regridded):
+    """Test case with ensembles ensuring that single core and multicore produce identical values."""
+    assert np.allclose(
+        ageofair.compute_ageofair(
+            ens_regridded.extract("x_wind")[0],
+            ens_regridded.extract("y_wind")[0],
+            ens_regridded.extract("upward_air_velocity")[0],
+            ens_regridded.extract("geopotential_height")[0],
+            plev=200,
+            cyclic=False,
+            multicore=True,
+        ).data,
+        ageofair.compute_ageofair(
+            ens_regridded.extract("x_wind")[0],
+            ens_regridded.extract("y_wind")[0],
+            ens_regridded.extract("upward_air_velocity")[0],
+            ens_regridded.extract("geopotential_height")[0],
+            plev=200,
+            cyclic=False,
+            multicore=False,
+        ).data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_aoa_misordered_dims(xwind, ywind, wwind, geopot):
+    """Dimensions in input cubes do not match expected ordering."""
+    xwind.transpose([0, 1, 3, 2])
+    ywind.transpose([0, 1, 3, 2])
+    wwind.transpose([0, 1, 3, 2])
+    geopot.transpose([0, 1, 3, 2])
+    with pytest.raises(ValueError):
+        ageofair.compute_ageofair(
+            xwind,
+            ywind,
+            wwind,
+            geopot,
+            plev=500,
+            cyclic=True,
+        )
+
+
+def test_aoa_misordered_dims_ens(ens_regridded):
+    """Dimensions in input cubes do not match expected ordering."""
+    xwind = ens_regridded.extract("x_wind")[0]
+    ywind = ens_regridded.extract("y_wind")[0]
+    wwind = ens_regridded.extract("upward_air_velocity")[0]
+    geopot = ens_regridded.extract("geopotential_height")[0]
+    xwind.transpose([0, 1, 2, 4, 3])
+    ywind.transpose([0, 1, 2, 4, 3])
+    wwind.transpose([0, 1, 2, 4, 3])
+    geopot.transpose([0, 1, 2, 4, 3])
+    with pytest.raises(ValueError):
+        ageofair.compute_ageofair(
+            xwind,
+            ywind,
+            wwind,
+            geopot,
+            plev=500,
+            cyclic=True,
+        )
diff --git a/tests/operators/test_filters.py b/tests/operators/test_filters.py
index 8eefe3b78..a35352c75 100644
--- a/tests/operators/test_filters.py
+++ b/tests/operators/test_filters.py
@@ -15,6 +15,7 @@
 """Test filter operators."""
 
 import iris.cube
+import numpy as np
 import pytest
 
 from CSET.operators import constraints, filters
@@ -176,3 +177,103 @@ def test_generate_level_constraint_returnallmodlev(load_verticalcoord_cubelist):
     assert expected_coordstr in repr(
         load_verticalcoord_cubelist.extract(constraint_1)[0].coords
     )
+
+
+def test_generate_mask_fail_wrong_condition(cube):
+    """Fails for a wrong condition."""
+    with pytest.raises(ValueError):
+        filters.generate_mask(cube, "!<", 10)
+
+
+def test_generate_mask_equal_to(cube):
+    """Generates a mask with values equal to a specified value."""
+    mask = cube.copy()
+    mask.data = np.zeros(mask.data.shape)
+    mask.data[cube.data == 276] = 1
+    assert np.allclose(
+        filters.generate_mask(cube, "==", 276).data,
+        mask.data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_generate_mask_not_equal_to(cube):
+    """Generates a mask with values not equal to a specified value."""
+    mask = cube.copy()
+    mask.data = np.zeros(mask.data.shape)
+    mask.data[cube.data != 276] = 1
+    assert np.allclose(
+        filters.generate_mask(cube, "!=", 276).data,
+        mask.data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_generate_mask_greater_than(cube):
+    """Generates a mask with values greater than a specified value."""
+    mask = cube.copy()
+    mask.data = np.zeros(mask.data.shape)
+    mask.data[cube.data > 276] = 1
+    assert np.allclose(
+        filters.generate_mask(cube, ">", 276).data,
+        mask.data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_generate_mask_greater_equal_to(cube):
+    """Generates a mask with values greater than or equal to a specified value."""
+    mask = cube.copy()
+    mask.data = np.zeros(mask.data.shape)
+    mask.data[cube.data >= 276] = 1
+    assert np.allclose(
+        filters.generate_mask(cube, ">=", 276).data,
+        mask.data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_generate_mask_less_than(cube):
+    """Generates a mask with values less than a specified value."""
+    mask = cube.copy()
+    mask.data = np.zeros(mask.data.shape)
+    mask.data[cube.data < 276] = 1
+    assert np.allclose(
+        filters.generate_mask(cube, "<", 276).data,
+        mask.data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_generate_mask_less_equal_to(cube):
+    """Generates a mask with values less than or equal to a specified value."""
+    mask = cube.copy()
+    mask.data = np.zeros(mask.data.shape)
+    mask.data[cube.data <= 276] = 1
+    assert np.allclose(
+        filters.generate_mask(cube, "<=", 276).data,
+        mask.data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_apply_mask(cube):
+    """Apply a mask to a cube."""
+    mask = filters.generate_mask(cube, "==", 276)
+    mask.data[mask.data == 0] = np.nan
+    mask.data[~np.isnan(mask.data)] = 1
+    test_data = cube.copy()
+    test_data.data *= mask.data
+    assert np.allclose(
+        filters.apply_mask(cube, mask).data,
+        test_data.data,
+        rtol=1e-06,
+        atol=1e-02,
+        equal_nan=True,
+    )
diff --git a/tests/operators/test_mesoscale.py b/tests/operators/test_mesoscale.py
new file mode 100644
index 000000000..cbb1311d5
--- /dev/null
+++ b/tests/operators/test_mesoscale.py
@@ -0,0 +1,75 @@
+# © Crown copyright, Met Office (2022-2024) and CSET contributors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Test mesoscale operators."""
+
+import numpy as np
+from scipy.ndimage import gaussian_filter, uniform_filter
+
+import CSET.operators.mesoscale as mesoscale
+from CSET.operators._utils import get_cube_yxcoordname
+
+
+def test_spatial_perturbation_field_gaussian(cube):
+    """Test smoothing a cube with a Gaussian filter."""
+    calculated = cube.copy()
+    coords = [coord.name() for coord in cube.coords()]
+    axes = (
+        coords.index(get_cube_yxcoordname(cube)[0]),
+        coords.index(get_cube_yxcoordname(cube)[1]),
+    )
+    calculated.data -= gaussian_filter(cube.data, 40, axes=axes)
+    assert np.allclose(
+        calculated.data,
+        mesoscale.spatial_perturbation_field(cube).data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+    calculated_2 = cube.copy()
+    calculated_2.data -= gaussian_filter(cube.data, 100, axes=axes)
+    assert np.allclose(
+        calculated_2.data,
+        mesoscale.spatial_perturbation_field(cube, filter_scale=100).data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+
+def test_spatial_perturbation_field_uniform(cube):
+    """Test smoothing a cube with a uniform filter."""
+    calculated = cube.copy()
+    coords = [coord.name() for coord in cube.coords()]
+    axes = (
+        coords.index(get_cube_yxcoordname(cube)[0]),
+        coords.index(get_cube_yxcoordname(cube)[1]),
+    )
+    calculated.data -= uniform_filter(cube.data, 40, axes=axes)
+    assert np.allclose(
+        calculated.data,
+        mesoscale.spatial_perturbation_field(cube, apply_gaussian_filter=False).data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
+
+    calculated_2 = cube.copy()
+    calculated_2.data -= uniform_filter(cube.data, 100, axes=axes)
+    assert np.allclose(
+        calculated_2.data,
+        mesoscale.spatial_perturbation_field(
+            cube, apply_gaussian_filter=False, filter_scale=100
+        ).data,
+        rtol=1e-06,
+        atol=1e-02,
+    )
diff --git a/tests/operators/test_read.py b/tests/operators/test_read.py
index 9197cb919..b03029f9f 100644
--- a/tests/operators/test_read.py
+++ b/tests/operators/test_read.py
@@ -240,3 +240,36 @@ def test_lfric_time_coord_fix_callback_no_time():
     cube = iris.cube.Cube([0, 0, 0], aux_coords_and_dims=[(length_coord, 0)])
     read._lfric_time_coord_fix_callback(cube, None, None)
     assert len(cube.coords("time")) == 0
+
+
+def test_pressurecoordfix_callback():
+    """Check that pressure_level is renamed to pressure if it exists."""
+    cube = iris.load_cube("tests/test_data/transect_test_umpl.nc")
+    cube.coord("pressure").rename("pressure_level")
+    read._fix_pressurecoord_name_callback(cube)
+    assert (
+        repr(cube.coords())
+        == "[<DimCoord: time / (hours since 1970-01-01 00:00:00)  [...]  shape(2,)>, <DimCoord: pressure / (hPa)  [ 100., 150., ..., 950., 1000.]  shape(16,)>, <DimCoord: latitude / (degrees)  [-10.98, -10.94, ..., -10.82, -10.78]  shape(6,)>, <DimCoord: longitude / (degrees)  [19.02, 19.06, ..., 19.18, 19.22]  shape(6,)>, <DimCoord: forecast_reference_time / (hours since 1970-01-01 00:00:00)  [...]>, <AuxCoord: forecast_period / (hours)  [15., 18.]  shape(2,)>]"
+    )
+
+
+def test_spatialcoordrename_callback():
+    """Check that spatial coord gets renamed if it is not grid_latitude."""
+    # This cube contains 'latitude' and 'longitude'
+    cube = iris.load_cube("tests/test_data/transect_test_umpl.nc")
+    read._fix_spatialcoord_name_callback(cube)
+    assert (
+        repr(cube.coords())
+        == "[<DimCoord: time / (hours since 1970-01-01 00:00:00)  [...]  shape(2,)>, <DimCoord: pressure / (hPa)  [ 100., 150., ..., 950., 1000.]  shape(16,)>, <DimCoord: grid_latitude / (degrees)  [-10.98, -10.94, ..., -10.82, -10.78]  shape(6,)>, <DimCoord: grid_longitude / (degrees)  [19.02, 19.06, ..., 19.18, 19.22]  shape(6,)>, <DimCoord: forecast_reference_time / (hours since 1970-01-01 00:00:00)  [...]>, <AuxCoord: forecast_period / (hours)  [15., 18.]  shape(2,)>]"
+    )
+
+
+def test_spatialcoordnotexist_callback():
+    """Check that spatial coord returns cube if cube does not contain spatial coordinates."""
+    cube = iris.load_cube("tests/test_data/transect_test_umpl.nc")
+    cube = cube[:, :, 0, 0]  # Remove spatial dimcoords
+    read._fix_spatialcoord_name_callback(cube)
+    assert (
+        repr(cube.coords())
+        == "[<DimCoord: time / (hours since 1970-01-01 00:00:00)  [...]  shape(2,)>, <DimCoord: pressure / (hPa)  [ 100., 150., ..., 950., 1000.]  shape(16,)>, <DimCoord: forecast_reference_time / (hours since 1970-01-01 00:00:00)  [...]>, <DimCoord: latitude / (degrees)  [-10.98]>, <DimCoord: longitude / (degrees)  [19.02]>, <AuxCoord: forecast_period / (hours)  [15., 18.]  shape(2,)>]"
+    )
diff --git a/tests/operators/test_utils.py b/tests/operators/test_utils.py
index 7270a3962..7f81f9ca6 100644
--- a/tests/operators/test_utils.py
+++ b/tests/operators/test_utils.py
@@ -14,6 +14,7 @@
 
 """Tests for common operator functionality across CSET."""
 
+import iris
 import pytest
 
 import CSET.operators._utils as operator_utils
@@ -21,14 +22,14 @@
 
 def test_missing_coord_get_cube_yxcoordname_x(regrid_rectilinear_cube):
     """Missing X coordinate raises error."""
-    regrid_rectilinear_cube.remove_coord("longitude")
+    regrid_rectilinear_cube.remove_coord("grid_longitude")
     with pytest.raises(ValueError):
         operator_utils.get_cube_yxcoordname(regrid_rectilinear_cube)
 
 
 def test_missing_coord_get_cube_yxcoordname_y(regrid_rectilinear_cube):
     """Missing Y coordinate raises error."""
-    regrid_rectilinear_cube.remove_coord("longitude")
+    regrid_rectilinear_cube.remove_coord("grid_longitude")
     with pytest.raises(ValueError):
         operator_utils.get_cube_yxcoordname(regrid_rectilinear_cube)
 
@@ -36,8 +37,8 @@ def test_missing_coord_get_cube_yxcoordname_y(regrid_rectilinear_cube):
 def test_get_cube_yxcoordname(regrid_rectilinear_cube):
     """Check that function returns tuple containing horizontal dimension names."""
     assert (operator_utils.get_cube_yxcoordname(regrid_rectilinear_cube)) == (
-        "latitude",
-        "longitude",
+        "grid_latitude",
+        "grid_longitude",
     )
 
 
@@ -58,3 +59,16 @@ def test_is_transect_correctcoord(transect_source_cube):
     # Retain only time and latitude coordinate, so it passes the first spatial coord test.
     transect_source_cube_slice = transect_source_cube[:, :, :, 0]
     assert operator_utils.is_transect(transect_source_cube_slice)
+
+
+def test_is_spatialdim_false():
+    """Check that is spatial test returns false if cube does not contain spatial coordinates."""
+    cube = iris.load_cube("tests/test_data/transect_test_umpl.nc")
+    cube = cube[:, :, 0, 0]  # Remove spatial dimcoords
+    assert not operator_utils.is_spatialdim(cube)
+
+
+def test_is_spatialdim_true():
+    """Check that is spatial test returns true if cube contains spatial coordinates."""
+    cube = iris.load_cube("tests/test_data/transect_test_umpl.nc")
+    assert operator_utils.is_spatialdim(cube)
diff --git a/tests/test_cli.py b/tests/test_cli.py
index f422316e6..6daa6bf92 100644
--- a/tests/test_cli.py
+++ b/tests/test_cli.py
@@ -17,45 +17,132 @@
 In many ways these are integration tests.
 """
 
-import os
+import logging
 import subprocess
 from pathlib import Path
 from uuid import uuid4
 
 import pytest
 
+import CSET
+import CSET.operators
 
-def test_command_line_help():
-    """Check that help commands work."""
-    subprocess.run(["cset", "--help"], check=True)
+
+def test_command_line_invocation():
+    """Check invocation via different entrypoints.
+
+    Uses subprocess to validate the external interface.
+    """
+    # Invoke via cset command
     subprocess.run(["cset", "--version"], check=True)
+    # Invoke via __main__.py
+    subprocess.run(["python3", "-m", "CSET", "--version"], check=True)
+
+
+# Every other test should not use the command line interface, but rather stay
+# within python to ensure coverage measurement.
+def test_argument_parser():
+    """Tests the argument parser behaves appropriately."""
+    parser = CSET.setup_argument_parser()
+    # Test verbose flag.
+    args = parser.parse_args(["recipe-id", "-r", "recipe.yaml"])
+    assert args.verbose == 0
+    args = parser.parse_args(["-v", "recipe-id", "-r", "recipe.yaml"])
+    assert args.verbose == 1
+    args = parser.parse_args(["-vv", "recipe-id", "-r", "recipe.yaml"])
+    assert args.verbose == 2
+
+
+def test_setup_logging():
+    """Tests the logging setup at various verbosity levels."""
+    root_logger = logging.getLogger()
+    # Log level gets pinned at a minimum of INFO for file output.
+    CSET.setup_logging(0)
+    assert root_logger.level == logging.INFO
+    # -v
+    CSET.setup_logging(1)
+    assert root_logger.level == logging.INFO
+    # -vv
+    CSET.setup_logging(2)
+    assert root_logger.level == logging.DEBUG
+
+
+def test_main_no_subparser(capsys):
+    """Appropriate error when no subparser is given."""
+    with pytest.raises(SystemExit) as sysexit:
+        CSET.main(["cset"])
+    assert sysexit.value.code == 127
+    assert capsys.readouterr().err == "Please choose a command.\n"
+
+
+def test_main_unhandled_exception_normal(capsys):
+    """Appropriate error when an unhandled exception occurs."""
+    with pytest.raises(SystemExit) as sysexit:
+        CSET.main(
+            [
+                "cset",
+                "bake",
+                "--recipe=/non-existent/recipe.yaml",
+                "--input-dir=/dev/null",
+                "--output-dir=/dev/null",
+            ]
+        )
+    assert sysexit.value.code == 1
+    assert (
+        capsys.readouterr().err
+        == "[Errno 2] No such file or directory: '/non-existent/recipe.yaml'\n"
+    )
 
-    # Gain coverage of __main__.py
-    subprocess.run(["python3", "-m", "CSET", "-h"], check=True)
 
-    # Test verbose options. This is really just to up the coverage number.
-    subprocess.run(["cset", "-v"])
-    subprocess.run(["cset", "-vv"])
+def test_main_unhandled_exception_debug(caplog, capsys):
+    """Appropriate error when an unhandled exception occurs under debug mode."""
+    with pytest.raises(FileNotFoundError):
+        CSET.main(
+            [
+                "cset",
+                "-vv",
+                "bake",
+                "--recipe=/non-existent/recipe.yaml",
+                "--input-dir=/dev/null",
+                "--output-dir=/dev/null",
+            ]
+        )
+    assert (
+        "[Errno 2] No such file or directory: '/non-existent/recipe.yaml'\n"
+        in capsys.readouterr().err
+    )
+    log_record = caplog.records[-1]
+    assert log_record.message == "An unhandled exception occurred."
+    assert log_record.levelno == logging.DEBUG
 
 
-def test_bake_recipe_execution(tmp_path):
+def test_bake_recipe_execution(monkeypatch):
     """Test running CSET recipe from the command line."""
-    subprocess.run(
+    bake_ran = False
+
+    def _bake_test(args, unparsed_args):
+        nonlocal bake_ran
+        bake_ran = True
+        assert args.input_dir == Path("/dev/null")
+        assert args.output_dir == Path("/dev/null")
+        assert args.recipe == Path("tests/test_data/noop_recipe.yaml")
+
+    monkeypatch.setattr(CSET, "_bake_command", _bake_test)
+    CSET.main(
         [
             "cset",
             "bake",
-            f"--input-dir={os.devnull}",
-            f"--output-dir={tmp_path}",
+            "--input-dir=/dev/null",
+            "--output-dir=/dev/null",
             "--recipe=tests/test_data/noop_recipe.yaml",
-        ],
-        check=True,
+        ]
     )
 
 
-def test_bake_invalid_args():
+def test_bake_invalid_args(capsys):
     """Invalid arguments give non-zero exit code."""
-    with pytest.raises(subprocess.CalledProcessError):
-        subprocess.run(
+    with pytest.raises(SystemExit) as sysexit:
+        CSET.main(
             [
                 "cset",
                 "bake",
@@ -63,17 +150,20 @@ def test_bake_invalid_args():
                 "--input-dir=/tmp",
                 "--output-dir=/tmp",
                 "--not-a-real-option",
-            ],
-            check=True,
+            ]
         )
+    assert sysexit.value.code == 127
+    assert capsys.readouterr().err == "Unknown argument: --not-a-real-option\n"
 
 
-def test_bake_invalid_args_input_dir():
+def test_bake_invalid_args_input_dir(capsys):
     """Missing required input-dir argument for bake."""
-    with pytest.raises(subprocess.CalledProcessError):
-        subprocess.run(
-            ["cset", "bake", "--recipe=foo", "--output-dir=/tmp"], check=True
-        )
+    with pytest.raises(SystemExit) as sysexit:
+        CSET.main(["cset", "bake", "--recipe=foo", "--output-dir=/tmp"])
+    assert sysexit.value.code == 2
+    assert capsys.readouterr().err.endswith(
+        "cset bake: error: the following arguments are required: -i/--input-dir\n"
+    )
 
 
 def test_graph_creation(tmp_path: Path):
@@ -84,116 +174,89 @@ def test_graph_creation(tmp_path: Path):
 
     # Run with output path specified
     output_file = tmp_path / f"{uuid4()}.svg"
-    subprocess.run(
-        (
+    CSET.main(
+        [
             "cset",
             "graph",
             "-o",
             str(output_file),
             "--recipe=tests/test_data/noop_recipe.yaml",
-        ),
-        check=True,
+        ]
     )
     assert output_file.is_file()
     output_file.unlink()
 
 
 def test_graph_details(tmp_path: Path):
-    """Generate a graph with details with details."""
+    """Generate a graph with details."""
     output_file = tmp_path / f"{uuid4()}.svg"
-    subprocess.run(
-        (
+    CSET.main(
+        [
             "cset",
             "graph",
             "--details",
             "-o",
             str(output_file),
             "--recipe=tests/test_data/noop_recipe.yaml",
-        ),
-        check=True,
+        ]
     )
     assert output_file.is_file()
 
 
 def test_cookbook_cwd(tmp_working_dir):
     """Unpacking the recipes into the current working directory."""
-    subprocess.run(["cset", "cookbook", "CAPE_ratio_plot.yaml"], check=True)
+    CSET.main(["cset", "cookbook", "CAPE_ratio_plot.yaml"])
     assert Path("CAPE_ratio_plot.yaml").is_file()
 
 
 def test_cookbook_path(tmp_path: Path):
     """Unpacking the recipes into a specified directory."""
-    subprocess.run(
-        ["cset", "cookbook", "--output-dir", tmp_path, "CAPE_ratio_plot.yaml"],
-        check=True,
+    CSET.main(
+        ["cset", "cookbook", "--output-dir", str(tmp_path), "CAPE_ratio_plot.yaml"]
     )
     assert (tmp_path / "CAPE_ratio_plot.yaml").is_file()
 
 
-def test_cookbook_list_available_recipes():
+def test_cookbook_list_available_recipes(capsys):
     """List all available recipes."""
-    proc = subprocess.run(
-        ["cset", "cookbook", "--details"], capture_output=True, check=True
-    )
+    CSET.main(["cset", "cookbook", "--details"])
+    stdout = capsys.readouterr().out
     # Check start.
-    assert proc.stdout.startswith(b"Available recipes:\n")
+    assert stdout.startswith("Available recipes:\n")
     # Check has some recipes.
-    assert len(proc.stdout.splitlines()) > 3
+    assert len(stdout.splitlines()) > 3
 
 
-def test_cookbook_detail_recipe():
+def test_cookbook_detail_recipe(capsys):
     """Show detail of a recipe."""
-    proc = subprocess.run(
-        [
-            "cset",
-            "cookbook",
-            "--details",
-            "CAPE_ratio_plot.yaml",
-        ],
-        capture_output=True,
-        check=True,
-    )
-    assert proc.stdout.startswith(b"\n\tCAPE_ratio_plot.yaml\n")
+    CSET.main(["cset", "cookbook", "--details", "CAPE_ratio_plot.yaml"])
+    assert capsys.readouterr().out.startswith("\n\tCAPE_ratio_plot.yaml\n")
 
 
 def test_cookbook_non_existent_recipe(tmp_path):
     """Non-existent recipe give non-zero exit code."""
-    with pytest.raises(subprocess.CalledProcessError):
-        subprocess.run(
-            ["cset", "cookbook", "--output-dir", tmp_path, "non-existent.yaml"],
-            check=True,
+    with pytest.raises(SystemExit) as sysexit:
+        CSET.main(
+            ["cset", "cookbook", "--output-dir", str(tmp_path), "non-existent.yaml"]
         )
+    assert sysexit.value.code == 1
 
 
-def test_recipe_id():
+def test_recipe_id(capsys):
     """Get recipe ID for a recipe."""
-    p = subprocess.run(
-        ["cset", "recipe-id", "-r", "tests/test_data/noop_recipe.yaml"],
-        check=True,
-        capture_output=True,
-    )
-    assert p.stdout == b"noop\n"
+    CSET.main(["cset", "recipe-id", "-r", "tests/test_data/noop_recipe.yaml"])
+    assert capsys.readouterr().out == "noop\n"
 
 
-def test_recipe_id_no_title():
+def test_recipe_id_no_title(capsys):
     """Get recipe id for recipe without a title."""
-    p = subprocess.run(
-        ["cset", "recipe-id", "-r", "tests/test_data/ensemble_air_temp.yaml"],
-        check=True,
-        capture_output=True,
-    )
+    CSET.main(["cset", "recipe-id", "-r", "tests/test_data/ensemble_air_temp.yaml"])
     # UUID output + newline.
-    assert len(p.stdout) == 37
+    assert len(capsys.readouterr().out) == 37
 
 
-def test_cset_addopts():
+def test_cset_addopts(capsys, monkeypatch):
     """Lists in CSET_ADDOPTS environment variable don't crash the parser."""
-    environment = dict(os.environ)
-    environment["CSET_ADDOPTS"] = "--LIST='[1, 2, 3]'"
-    p = subprocess.run(
-        ["cset", "recipe-id", "-r", "tests/test_data/addopts_test_recipe.yaml"],
-        check=True,
-        capture_output=True,
-        env=environment,
-    )
-    assert p.stdout == b"list_1_2_3\n"
+    monkeypatch.setenv("CSET_ADDOPTS", "--LIST='[1, 2, 3]'")
+    CSET.main(["cset", "recipe-id", "-r", "tests/test_data/addopts_test_recipe.yaml"])
+    assert capsys.readouterr().out == "list_1_2_3\n"
diff --git a/tests/test_data/ageofair/aoa_in.nc b/tests/test_data/ageofair/aoa_in.nc
new file mode 100644
index 000000000..1a40a6564
Binary files /dev/null and b/tests/test_data/ageofair/aoa_in.nc differ
diff --git a/tests/test_data/ageofair/aoa_in_ens.nc b/tests/test_data/ageofair/aoa_in_ens.nc
new file mode 100644
index 000000000..6254155a3
Binary files /dev/null and b/tests/test_data/ageofair/aoa_in_ens.nc differ
diff --git a/tests/test_data/ageofair/aoa_in_rgd.nc b/tests/test_data/ageofair/aoa_in_rgd.nc
new file mode 100644
index 000000000..139778938
Binary files /dev/null and b/tests/test_data/ageofair/aoa_in_rgd.nc differ
diff --git a/tests/test_data/ageofair/aoa_out.nc b/tests/test_data/ageofair/aoa_out.nc
new file mode 100644
index 000000000..8ad6c5eb8
Binary files /dev/null and b/tests/test_data/ageofair/aoa_out.nc differ
diff --git a/tests/test_data/ageofair/aoa_out_cyclic.nc b/tests/test_data/ageofair/aoa_out_cyclic.nc
new file mode 100644
index 000000000..29230a056
Binary files /dev/null and b/tests/test_data/ageofair/aoa_out_cyclic.nc differ
diff --git a/tests/test_data/ageofair/aoa_out_ens.nc b/tests/test_data/ageofair/aoa_out_ens.nc
new file mode 100644
index 000000000..c5aca3070
Binary files /dev/null and b/tests/test_data/ageofair/aoa_out_ens.nc differ
diff --git a/tests/test_data/ageofair/aoa_out_nocyclic.nc b/tests/test_data/ageofair/aoa_out_nocyclic.nc
new file mode 100644
index 000000000..331ffad88
Binary files /dev/null and b/tests/test_data/ageofair/aoa_out_nocyclic.nc differ
diff --git a/tests/test_recipes.py b/tests/test_recipes.py
index da8126e67..b7edbd708 100644
--- a/tests/test_recipes.py
+++ b/tests/test_recipes.py
@@ -18,28 +18,28 @@
 
 import pytest
 
-import CSET.recipes
+from CSET import recipes
 
 
 def test_recipe_files_in_tree():
     """Get recipes in directory containing sub-directories."""
-    files = CSET.recipes._recipe_files_in_tree(input_dir=Path("tests"))
+    files = recipes._recipe_files_in_tree(input_dir=Path("tests"))
     assert Path("tests/test_data/noop_recipe.yaml") in files
 
 
 def test_recipe_files_in_tree_from_package():
     """Get a recipe from inside the CSET package."""
-    files = CSET.recipes._recipe_files_in_tree()
+    files = recipes._recipe_files_in_tree()
     assert any("CAPE_ratio_plot.yaml" == path.name for path in files)
 
 
 def test_unpack(tmp_path: Path):
     """Unpack recipes."""
-    CSET.recipes.unpack_recipe(tmp_path, "CAPE_ratio_plot.yaml")
+    recipes.unpack_recipe(tmp_path, "CAPE_ratio_plot.yaml")
     assert (tmp_path / "CAPE_ratio_plot.yaml").is_file()
     # Unpack everything and check a warning is produced when files collide.
     with pytest.warns():
-        CSET.recipes.unpack_recipe(tmp_path, "CAPE_ratio_plot.yaml")
+        recipes.unpack_recipe(tmp_path, "CAPE_ratio_plot.yaml")
 
 
 def test_unpack_recipes_exception_collision(tmp_path: Path):
@@ -47,7 +47,7 @@ def test_unpack_recipes_exception_collision(tmp_path: Path):
     file_path = tmp_path / "regular_file"
     file_path.touch()
     with pytest.raises(FileExistsError):
-        CSET.recipes.unpack_recipe(file_path, "CAPE_ratio_plot.yaml")
+        recipes.unpack_recipe(file_path, "CAPE_ratio_plot.yaml")
 
 
 def test_unpack_recipes_exception_permission():
@@ -56,32 +56,30 @@ def test_unpack_recipes_exception_permission():
     Will fail if tests are run as root, but no one should do that, right?
     """
     with pytest.raises(OSError):
-        CSET.recipes.unpack_recipe(
-            Path("/usr/bin/cset"), "extract_instant_air_temp.yaml"
-        )
+        recipes.unpack_recipe(Path("/usr/bin/cset"), "extract_instant_air_temp.yaml")
 
 
 def test_get_recipe_file():
     """Get a recipe file from a specific location."""
-    file = CSET.recipes._get_recipe_file("noop_recipe.yaml", Path("tests/test_data"))
+    file = recipes._get_recipe_file("noop_recipe.yaml", Path("tests/test_data"))
     assert file.is_file()
 
 
 def test_get_recipe_file_missing():
     """Exception raised when recipe file not in location."""
     with pytest.raises(FileNotFoundError):
-        CSET.recipes._get_recipe_file("non-existent", Path("tests/test_data"))
+        recipes._get_recipe_file("non-existent", Path("tests/test_data"))
 
 
 def test_get_recipe_file_in_package():
     """Get a recipe file from a the default location inside the package."""
-    file = CSET.recipes._get_recipe_file("CAPE_ratio_plot.yaml")
+    file = recipes._get_recipe_file("CAPE_ratio_plot.yaml")
     assert file.is_file()
 
 
 def test_list_available_recipes(capsys):
     """Display available recipes."""
-    CSET.recipes.list_available_recipes()
+    recipes.list_available_recipes()
     # Read stdout and stderr.
     captured_output = capsys.readouterr()
     # Check start.
@@ -92,7 +90,7 @@ def test_list_available_recipes(capsys):
 
 def test_detail_recipe(capsys):
     """Show detail of a recipe."""
-    CSET.recipes.detail_recipe("CAPE_ratio_plot.yaml")
+    recipes.detail_recipe("CAPE_ratio_plot.yaml")
     # Read stdout and stderr.
     captured_output = capsys.readouterr()
     assert captured_output.out.startswith("\n\tCAPE_ratio_plot.yaml\n")