From f8546fd8d32376c2e6546e942862fce77d807ddc Mon Sep 17 00:00:00 2001
From: FranziskaWinterstein
 <119339136+FranziskaWinterstein@users.noreply.github.com>
Date: Tue, 6 Aug 2024 16:41:35 +0200
Subject: [PATCH 1/6] Add option to plot time on x-axis in monitoring
 Hovmoeller plots (#3732)

Co-authored-by: Manuel Schlund <32543114+schlunma@users.noreply.github.com>
Co-authored-by: Manuel Schlund <manuel.schlund@dlr.de>
---
 .../diag_scripts/monitor/multi_datasets.py    | 70 +++++++++++++------
 1 file changed, 47 insertions(+), 23 deletions(-)

diff --git a/esmvaltool/diag_scripts/monitor/multi_datasets.py b/esmvaltool/diag_scripts/monitor/multi_datasets.py
index 9d5fbdaf8f..879346954c 100644
--- a/esmvaltool/diag_scripts/monitor/multi_datasets.py
+++ b/esmvaltool/diag_scripts/monitor/multi_datasets.py
@@ -583,6 +583,11 @@
     :func:`~datetime.datetime.strftime` format string that is used to format
     the time axis using :class:`matplotlib.dates.DateFormatter`. If ``None``,
     use the default formatting imposed by the iris plotting function.
+time_on: str, optional (default: y-axis)
+    Optional switch to change the orientation of the plot so that time is on
+    the x-axis ``time_on: x-axis``. Default orientation is time on y-axis and
+    lat/lon on x-axis.
+
 
 .. hint::
 
@@ -851,6 +856,7 @@ def __init__(self, config):
                     'show_x_minor_ticks', True
                 )
                 self.plots[plot_type].setdefault('time_format', None)
+                self.plots[plot_type].setdefault('time_on', 'y-axis')
 
         # Check that facet_used_for_labels is present for every dataset
         for dataset in self.input_data:
@@ -1650,6 +1656,10 @@ def _plot_hovmoeller_time_vs_lat_or_lon_with_ref(self, plot_func, dataset,
         ref_cube = ref_dataset['cube']
         dim_coords_dat = self._check_cube_dimensions(cube, plot_type)
         self._check_cube_dimensions(ref_cube, plot_type)
+        if 'latitude' in dim_coords_dat:
+            non_time_label = 'latitude [°N]'
+        else:
+            non_time_label = 'longitude [°E]'
 
         # Create single figure with multiple axes
         with mpl.rc_context(self._get_custom_mpl_rc_params(plot_type)):
@@ -1664,16 +1674,23 @@ def _plot_hovmoeller_time_vs_lat_or_lon_with_ref(self, plot_func, dataset,
             # Plot dataset (top left)
             axes_data = fig.add_subplot(gridspec[0:2, 0:2])
             plot_kwargs['axes'] = axes_data
-            coord_names = [coord[0].name() for coord in cube.dim_coords]
-            if coord_names[0] == "time":
-                coord_names.reverse()
-            plot_kwargs['coords'] = coord_names
+            if self.plots[plot_type]['time_on'] == 'x-axis':
+                plot_kwargs['coords'] = list(dim_coords_dat)
+                x_label = 'time'
+                y_label = non_time_label
+                time_axis = axes_data.get_xaxis()
+            else:
+                plot_kwargs['coords'] = list(reversed(dim_coords_dat))
+                x_label = non_time_label
+                y_label = 'time'
+                time_axis = axes_data.get_yaxis()
             plot_data = plot_func(cube, **plot_kwargs)
             axes_data.set_title(self._get_label(dataset), pad=3.0)
-            axes_data.set_ylabel('time')
+            axes_data.set_ylabel(y_label)
             if self.plots[plot_type]['time_format'] is not None:
-                axes_data.get_yaxis().set_major_formatter(mdates.DateFormatter(
-                    self.plots[plot_type]['time_format']))
+                time_axis.set_major_formatter(mdates.DateFormatter(
+                    self.plots[plot_type]['time_format']
+                ))
             if self.plots[plot_type]['show_y_minor_ticks']:
                 axes_data.get_yaxis().set_minor_locator(AutoMinorLocator())
             if self.plots[plot_type]['show_x_minor_ticks']:
@@ -1705,17 +1722,14 @@ def _plot_hovmoeller_time_vs_lat_or_lon_with_ref(self, plot_func, dataset,
             plot_kwargs_bias = self._get_plot_kwargs(plot_type, dataset,
                                                      bias=True)
             plot_kwargs_bias['axes'] = axes_bias
-            plot_kwargs_bias['coords'] = coord_names
+            plot_kwargs_bias['coords'] = plot_kwargs['coords']
             plot_bias = plot_func(bias_cube, **plot_kwargs_bias)
             axes_bias.set_title(
                 f"{self._get_label(dataset)} - {self._get_label(ref_dataset)}",
                 pad=3.0,
             )
-            axes_bias.set_ylabel('time')
-            if 'latitude' in dim_coords_dat:
-                axes_bias.set_xlabel('latitude [°N]')
-            elif 'longitude' in dim_coords_dat:
-                axes_bias.set_xlabel('longitude [°E]')
+            axes_bias.set_xlabel(x_label)
+            axes_bias.set_ylabel(y_label)
             cbar_kwargs_bias = self._get_cbar_kwargs(plot_type, bias=True)
             cbar_bias = fig.colorbar(plot_bias, ax=axes_bias,
                                      **cbar_kwargs_bias)
@@ -1756,6 +1770,10 @@ def _plot_hovmoeller_time_vs_lat_or_lon_without_ref(self, plot_func,
         # Make sure that the data has the correct dimensions
         cube = dataset['cube']
         dim_coords_dat = self._check_cube_dimensions(cube, plot_type)
+        if 'latitude' in dim_coords_dat:
+            non_time_label = 'latitude [°N]'
+        else:
+            non_time_label = 'longitude [°E]'
 
         # Create plot with desired settings
         with mpl.rc_context(self._get_custom_mpl_rc_params(plot_type)):
@@ -1764,8 +1782,17 @@ def _plot_hovmoeller_time_vs_lat_or_lon_without_ref(self, plot_func,
             plot_kwargs = self._get_plot_kwargs(plot_type, dataset)
             plot_kwargs['axes'] = axes
 
-            # Make sure time is on y-axis
-            plot_kwargs['coords'] = list(reversed(dim_coords_dat))
+            # Put time on desired axis
+            if self.plots[plot_type]['time_on'] == 'x-axis':
+                plot_kwargs['coords'] = list(dim_coords_dat)
+                x_label = 'time'
+                y_label = non_time_label
+                time_axis = axes.get_xaxis()
+            else:
+                plot_kwargs['coords'] = list(reversed(dim_coords_dat))
+                x_label = non_time_label
+                y_label = 'time'
+                time_axis = axes.get_yaxis()
             plot_hovmoeller = plot_func(cube, **plot_kwargs)
 
             # Setup colorbar
@@ -1779,15 +1806,12 @@ def _plot_hovmoeller_time_vs_lat_or_lon_without_ref(self, plot_func,
             # Customize plot
             axes.set_title(self._get_label(dataset))
             fig.suptitle(dataset['long_name'])
-            if 'latitude' in dim_coords_dat:
-                axes.set_xlabel('latitude [°N]')
-            elif 'longitude' in dim_coords_dat:
-                axes.set_xlabel('longitude [°E]')
-            axes.set_ylabel('time')
+            axes.set_xlabel(x_label)
+            axes.set_ylabel(y_label)
             if self.plots[plot_type]['time_format'] is not None:
-                axes.get_yaxis().set_major_formatter(mdates.DateFormatter(
-                    self.plots[plot_type]['time_format'])
-                )
+                time_axis.set_major_formatter(mdates.DateFormatter(
+                    self.plots[plot_type]['time_format']
+                ))
             if self.plots[plot_type]['show_y_minor_ticks']:
                 axes.get_yaxis().set_minor_locator(AutoMinorLocator())
             if self.plots[plot_type]['show_x_minor_ticks']:

From 1cc5f8b3ca21f6bc26f519e8e9047d84148ef223 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Mon, 12 Aug 2024 13:53:27 +0100
Subject: [PATCH 2/6] [Condalock] Update Linux condalock file (#3735)

Co-authored-by: valeriupredoi <valeriupredoi@users.noreply.github.com>
---
 conda-linux-64.lock | 61 +++++++++++++++++++++++----------------------
 1 file changed, 31 insertions(+), 30 deletions(-)

diff --git a/conda-linux-64.lock b/conda-linux-64.lock
index 766a536ea8..dec75c8d8a 100644
--- a/conda-linux-64.lock
+++ b/conda-linux-64.lock
@@ -128,7 +128,7 @@ https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.40-hc3806b6_0.tar.bz2#6
 https://conda.anaconda.org/conda-forge/linux-64/perl-5.32.1-7_hd590300_perl5.conda#f2cfec9406850991f4e3d960cc9e3321
 https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
-https://conda.anaconda.org/conda-forge/linux-64/rdma-core-52.0-he02047a_0.conda#b607b8e2361ead79785d77eb4b21e8cc
+https://conda.anaconda.org/conda-forge/linux-64/rdma-core-53.0-he02047a_0.conda#d60e9a23682287a041a4428927ea7aa5
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4
 https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.12-h06160fa_0.conda#bf1899cfd6dea061a220fa7e96a1f4bd
 https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.10-hdb0a2a9_1.conda#78b8b85bdf1f42b8a2b3cb577d8742d1
@@ -167,7 +167,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libxgboost-2.1.1-cuda118_h09a87b
 https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-h4c95cb1_3.conda#0ac9aff6010a7751961c8e4b863a40e7
 https://conda.anaconda.org/conda-forge/linux-64/minizip-4.0.7-h401b404_0.conda#4474532a312b2245c5c77f1176989b46
 https://conda.anaconda.org/conda-forge/linux-64/mpfr-4.2.1-h38ae2d0_2.conda#168e18a2bba4f8520e6c5e38982f5847
-https://conda.anaconda.org/conda-forge/linux-64/nss-3.102-h593d115_0.conda#40e5e48c55a45621c4399ca9236406b7
+https://conda.anaconda.org/conda-forge/linux-64/nss-3.103-h593d115_0.conda#233bfe41968d6fb04eba9258bb5061ad
 https://conda.anaconda.org/conda-forge/linux-64/python-3.11.9-hb806964_0_cpython.conda#ac68acfa8b558ed406c75e98d3428d7b
 https://conda.anaconda.org/conda-forge/linux-64/s2geometry-0.10.0-h8413349_4.conda#d19f88cf8812836e6a4a2a7902ed0e77
 https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.46.0-h6d4b2fc_0.conda#77ea8dff5cf8550cc8f5629a6af56323
@@ -176,10 +176,11 @@ https://conda.anaconda.org/conda-forge/linux-64/ucx-1.15.0-ha691c75_8.conda#3f9b
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda#077b6e8ad6a3ddb741fce2496dd01bec
 https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_0.conda#ae5f4ad87126c55ba3f690ef07f81d64
+https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.3.5-pyhd8ed1ab_0.conda#d904abda207d2dba054fd820d34bbaee
 https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_0.conda#7d78a232029458d0077ede6cda30ed0c
 https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.11.1-pyhd8ed1ab_0.tar.bz2#15109c4977d39ad7aa3423f57243e286
 https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2#c0481c9de49f040272556e2cedf42816
-https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda#5e4c0743c70186509d1412e03c2d8dfa
+https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda#6732fa52eb8e66e5afeb32db8701a791
 https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.4.2-h01f5eca_8.conda#afb85fc0f01032d115c57c961950e7d8
 https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.8.1-hdb68c23_10.conda#cb6065938167da2d2f078c2f08473b84
 https://conda.anaconda.org/conda-forge/linux-64/backports.zoneinfo-0.2.1-py311h38be061_8.conda#5384590f14dfe6ccd02811236afc9f8e
@@ -195,7 +196,7 @@ https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz
 https://conda.anaconda.org/conda-forge/noarch/config-0.5.1-pyhd8ed1ab_0.tar.bz2#97275d4898af65967b1ad57923cef770
 https://conda.anaconda.org/conda-forge/noarch/configargparse-1.7-pyhd8ed1ab_0.conda#0d07dc29b1c1cc973f76b74beb44915f
 https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda#5cd86562580f274031ede6aa6aa24441
-https://conda.anaconda.org/conda-forge/linux-64/cython-3.0.10-py311hb755f60_0.conda#f3a8a500a2e743ff92f418f0eaf9bf71
+https://conda.anaconda.org/conda-forge/linux-64/cython-3.0.11-py311hf86e51f_0.conda#9f66da0a75608eeeaaa5dc07b8162c68
 https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2#961b3a227b437d82ad7054484cfa71b2
 https://conda.anaconda.org/conda-forge/noarch/dill-0.3.8-pyhd8ed1ab_0.conda#78745f157d56877a2c6e7b386f66f3e2
 https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda#db16c66b759a64dc5183d69cc3745a52
@@ -216,7 +217,7 @@ https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.6.1-pyhff2d567_0.conda
 https://conda.anaconda.org/conda-forge/noarch/geographiclib-2.0-pyhd8ed1ab_0.tar.bz2#6b1f32359fc5d2ab7b491d0029bfffeb
 https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda#219ba82e95d7614cf7140d2a4afc0926
 https://conda.anaconda.org/conda-forge/linux-64/gfortran_impl_linux-64-14.1.0-he4a1faa_0.conda#a9ce7cd0848a93a8df88c1fc0ac84d9d
-https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-14.1.0-h2879b86_0.conda#47d6de998d7a285b98b60bce2fecb54b
+https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-14.1.0-h8d00ecb_0.conda#dacdca4eeb41f72d5df4511a2c06b992
 https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71
 https://conda.anaconda.org/conda-forge/noarch/humanfriendly-10.0-pyhd8ed1ab_6.conda#2ed1fe4b9079da97c44cfe9c2e5078fd
 https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2#9f765cbfab6870c8435b9eefecd7a1f4
@@ -232,7 +233,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openbla
 https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.9.1-hdb1bdb2_0.conda#7da1d242ca3591e174a3c7d82230d3c0
 https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.11.1-default_hecaa2ac_1000.conda#f54aeebefb5c5ff84eca4fb05ca8aa3a
 https://conda.anaconda.org/conda-forge/linux-64/libllvm16-16.0.6-hb3ce162_3.conda#a4d48c40dd5c60edbab7fd69c9a88967
-https://conda.anaconda.org/conda-forge/linux-64/libpq-16.3-ha72fbe1_0.conda#bac737ae28b79cfbafd515258d97d29e
+https://conda.anaconda.org/conda-forge/linux-64/libpq-16.4-h482b261_0.conda#0f74c5581623f860e7baca042d9d7139
 https://conda.anaconda.org/conda-forge/linux-64/libwebp-1.3.2-hdffd6e0_0.conda#a8661c87c873d8c8f90479318ebf0a17
 https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.39-h76b75d6_0.conda#e71f31f8cfb0a91439f2086fc8aa0461
 https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.43.0-py311hbde99c3_0.conda#4c60dfcba06b363be954401addee8800
@@ -269,13 +270,13 @@ https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8
 https://conda.anaconda.org/conda-forge/noarch/python-tzdata-2024.1-pyhd8ed1ab_0.conda#98206ea9954216ee7540f0c773f2104d
 https://conda.anaconda.org/conda-forge/linux-64/python-xxhash-3.4.1-py311h459d7ec_0.conda#60b5332b3989fda37884b92c7afd6a91
 https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda#3eeeeb9e4827ace8c0c1419c85d590ad
-https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py311h459d7ec_1.conda#52719a74ad130de8fb5d047dc91f247a
+https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py311h61187de_0.conda#76439451605390254b85d8da6f8d962a
 https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda#8f70e36268dea8eb666ef14c29bd3cda
-https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.19.1-py311hb3a8bbb_0.conda#c367477dd99f87997d08fde1c154d339
+https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py311hb3a8bbb_0.conda#db475e65fb621c2ec1dcdcc4e170b6f1
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml.clib-0.2.8-py311h459d7ec_0.conda#7865c897d89a39abc0056d89e37bd9e9
 https://conda.anaconda.org/conda-forge/noarch/semver-3.0.2-pyhd8ed1ab_0.conda#5efb3fccda53974aed800b6d575f72ed
 https://conda.anaconda.org/conda-forge/noarch/setoptconf-tmp-0.3.1-pyhd8ed1ab_0.tar.bz2#af3e36d4effb85b9b9f93cd1db0963df
-https://conda.anaconda.org/conda-forge/noarch/setuptools-71.0.4-pyhd8ed1ab_0.conda#ee78ac9c720d0d02fcfd420866b82ab1
+https://conda.anaconda.org/conda-forge/noarch/setuptools-72.1.0-pyhd8ed1ab_0.conda#e06d4c26df4f958a8d38696f2c344d15
 https://conda.anaconda.org/conda-forge/linux-64/simplejson-3.19.2-py311h459d7ec_0.conda#d6478cbce002db6303f0d749860f3e22
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@@ -301,9 +302,9 @@ https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py311h4332511_0.con
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-https://conda.anaconda.org/conda-forge/noarch/wheel-0.43.0-pyhd8ed1ab_1.conda#0b5293a157c2b5cd513dd1b03d8d3aae
+https://conda.anaconda.org/conda-forge/noarch/wheel-0.44.0-pyhd8ed1ab_0.conda#d44e3b085abcaef02983c6305b84b584
 https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py311h459d7ec_0.conda#6669b5529d206c1f880b642cdd17ae05
-https://conda.anaconda.org/conda-forge/noarch/xlsxwriter-3.1.9-pyhd8ed1ab_0.conda#70e533db62a710ae216fdaccc4a983c8
+https://conda.anaconda.org/conda-forge/noarch/xlsxwriter-3.2.0-pyhd8ed1ab_0.conda#a1f7264726115a2f8eac9773b1f27eba
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 https://conda.anaconda.org/conda-forge/noarch/r-lintr-3.1.2-r42hc72bb7e_0.conda#ef49cc606b94a9d5f30b9c48f5f68848
 https://conda.anaconda.org/conda-forge/linux-64/r-sf-1.0_14-r42h85a8d9e_1.conda#ad59b523759f3e8acc6fd623cfbfb5a9
 https://conda.anaconda.org/conda-forge/linux-64/r-tibble-3.2.1-r42h57805ef_2.conda#b1278a5148c9e52679bb72112770cdc3
-https://conda.anaconda.org/conda-forge/noarch/dask-2024.7.1-pyhd8ed1ab_0.conda#fa1908a0e13396792ff849a34171d90e
+https://conda.anaconda.org/conda-forge/noarch/dask-2024.8.0-pyhd8ed1ab_0.conda#795f3557b117402208fe1e0e20d943ed
 https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.1-r42hc72bb7e_0.conda#77cc0254e0dc92e5e7791ce20a170f74
 https://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r42hc72bb7e_3.conda#5ccfee6f3b94e6b247c7e1929b24f1cc
 https://conda.anaconda.org/conda-forge/noarch/iris-esmf-regrid-0.11.0-pyhd8ed1ab_0.conda#b30cbc09f81d9dbaf8b74f2c8eacddc5
@@ -673,7 +674,7 @@ https://conda.anaconda.org/conda-forge/linux-64/r-fields-15.2-r42h61816a4_0.cond
 https://conda.anaconda.org/conda-forge/noarch/r-spei-1.8.1-r42hc72bb7e_1.conda#7fe060235dac0fc0b3d387f98e79d128
 https://conda.anaconda.org/conda-forge/linux-64/r-geomap-2.5_5-r42h57805ef_0.conda#e58ccf961b56e57d7c1e50995005b0bd
 https://conda.anaconda.org/conda-forge/noarch/r-s2dverification-2.10.3-r42hc72bb7e_2.conda#8079a86a913155fe2589ec0b76dc9f5e
-https://conda.anaconda.org/conda-forge/noarch/autodocsumm-0.2.6-pyhd8ed1ab_0.tar.bz2#4409dd7e06a62c3b2aa9e96782c49c6d
+https://conda.anaconda.org/conda-forge/noarch/autodocsumm-0.2.13-pyhd8ed1ab_0.conda#b2f4f2f3923646802215b040e63d042e
 https://conda.anaconda.org/conda-forge/noarch/nbsphinx-0.9.4-pyhd8ed1ab_0.conda#9dc80eaeff56fb67dbf4f871b81bc13a
 https://conda.anaconda.org/conda-forge/noarch/pydata-sphinx-theme-0.15.4-pyhd8ed1ab_0.conda#c7c50dd5192caa58a05e6a4248a27acb
 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd8ed1ab_0.conda#9075bd8c033f0257122300db914e49c9

From 8df585a48e4af8e309e3e4fbe0b036dc1b90a486 Mon Sep 17 00:00:00 2001
From: Bouwe Andela <b.andela@esciencecenter.nl>
Date: Tue, 13 Aug 2024 17:50:13 +0200
Subject: [PATCH 3/6] Avoid masking issues in Dask 2024.8.0 (#3736)

---
 environment.yml     | 2 +-
 environment_osx.yml | 2 +-
 setup.py            | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/environment.yml b/environment.yml
index 7b74955350..54aa73bcf0 100644
--- a/environment.yml
+++ b/environment.yml
@@ -17,7 +17,7 @@ dependencies:
   - cftime
   - cmocean
   - cython
-  - dask
+  - dask !=2024.8.0  # https://github.com/dask/dask/issues/11296
   - distributed
   - ecmwf-api-client
   - eofs
diff --git a/environment_osx.yml b/environment_osx.yml
index 46a418c2fa..d89556b593 100644
--- a/environment_osx.yml
+++ b/environment_osx.yml
@@ -17,7 +17,7 @@ dependencies:
   - cftime
   - cmocean
   - cython
-  - dask
+  - dask !=2024.8.0  # https://github.com/dask/dask/issues/11296
   - distributed
   - ecmwf-api-client
   - eofs
diff --git a/setup.py b/setup.py
index e97f0d1dfb..df8477d27f 100755
--- a/setup.py
+++ b/setup.py
@@ -27,7 +27,7 @@
         'cf-units',
         'cftime',
         'cmocean',
-        'dask',
+        'dask!=2024.8.0',  # https://github.com/dask/dask/issues/11296
         'distributed',
         'ecmwf-api-client',
         'eofs',

From 45e52179188bd0f7191a66b6778d5cdcfe8ba4a6 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Fri, 23 Aug 2024 14:57:57 +0100
Subject: [PATCH 4/6] [Condalock] Update Linux condalock file (#3740)

Co-authored-by: valeriupredoi <valeriupredoi@users.noreply.github.com>
---
 conda-linux-64.lock | 81 +++++++++++++++++++++++----------------------
 1 file changed, 41 insertions(+), 40 deletions(-)

diff --git a/conda-linux-64.lock b/conda-linux-64.lock
index dec75c8d8a..4f526a49c0 100644
--- a/conda-linux-64.lock
+++ b/conda-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 36668538d8f30c23fdf0e91b7497e55784df63e5591265ce76dbb5a72232e8e6
+# input_hash: 6e839dcc54104cc7c8d7d0b0165df84d0b927a0baf129e4169a57ac283fe3f98
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/linux-64/_py-xgboost-mutex-2.0-gpu_0.tar.bz2#7702188077361f43a4d61e64c694f850
@@ -15,7 +15,7 @@ https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_2.co
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda#b80f2f396ca2c28b8c14c437a4ed1e74
 https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.3-ha770c72_0.conda#0a3af8b93ba501c6ba020deacc9df841
 https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda#d8d7293c5b37f39b2ac32940621c6592
-https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda#d786502c97404c94d7d58d258a445a65
+https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-5_cp311.conda#139a8d40c8a2f430df31048949e450de
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda#161081fc7cec0bfda0d86d7cb595f8d8
 https://conda.anaconda.org/conda-forge/linux-64/xorg-imake-1.0.7-0.tar.bz2#23acfc5a339a6a34cc2241f64e4111be
 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29
@@ -30,10 +30,10 @@ https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha19
 https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h77fa898_0.conda#ca0fad6a41ddaef54a153b78eccb5037
 https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.15-hd590300_0.conda#ad8955a300fd09e97e76c38638ac7157
 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-1.32.3-h4bc722e_0.conda#7624e34ee6baebfc80d67bac76cc9d9d
+https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.0-ha66036c_0.conda#b6927f788e85267beef6cbb292aaebdd
 https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda#418c6ca5929a611cbd69204907a83995
 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/gettext-tools-0.22.5-h59595ed_2.conda#985f2f453fb72408d6b6f1be0f324033
+https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-he02047a_3.conda#fcd2016d1d299f654f81021e27496818
 https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.2-hd590300_0.conda#3bf7b9fd5a7136126e0234db4b87c8b6
 https://conda.anaconda.org/conda-forge/linux-64/jbig-2.1-h7f98852_2003.tar.bz2#1aa0cee79792fa97b7ff4545110b60bf
 https://conda.anaconda.org/conda-forge/linux-64/json-c-0.17-h1220068_1.conda#f8f0f0c4338bad5c34a4e9e11460481d
@@ -44,7 +44,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.19-hd590300_0.conda
 https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055
 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda#e7ba12deb7020dd080c6c70e7b6f6a3d
 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2#d645c6d2ac96843a2bfaccd2d62b3ac3
-https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-0.22.5-h59595ed_2.conda#172bcc51059416e7ce99e7b528cede83
+https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-0.22.5-he02047a_3.conda#efab66b82ec976930b96d62a976de8e7
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_0.conda#6456c2620c990cd8dde2428a27ba0bc5
 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-2.1.5.1-hd590300_1.conda#323e90742f0f48fc22bea908735f55e6
@@ -99,13 +99,13 @@ https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda#cc47e1
 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/libabseil-20240116.2-cxx17_he02047a_1.conda#c48fc56ec03229f294176923c3265c05
 https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda#5e97e271911b8b2001a8b71860c32faa
-https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-h661eb56_2.conda#dd197c968bf9760bba0031888d431ede
+https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-he8f35ee_3.conda#4fab9799da9571266d05ca5503330655
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda#f07002e225d7a60a694d42a7bf5ff53f
 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda#5fc11c6020d421960607d821310fcd4d
 https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2#c965a5aa0d5c1c37ffc62dff36e28400
 https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1
 https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda#a1cfcc585f0c42bf8d5546bb1dfb668d
-https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-devel-0.22.5-h59595ed_2.conda#b63d9b6da3653179a278077f0de20014
+https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-devel-0.22.5-he02047a_3.conda#9aba7960731e6b4547b3a52f812ed801
 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_0.conda#f4ca84fbd6d06b0a052fb2d5b96dde41
 https://conda.anaconda.org/conda-forge/linux-64/libllvm14-14.0.6-hcd5def8_4.conda#73301c133ded2bf71906aa2104edae8b
 https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda#700ac6ea6d53d5510591c4344d5c989a
@@ -152,12 +152,12 @@ https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-14.1.0-h3c94d9
 https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.1-hbabe93e_0.conda#ff862eebdfeb2fd048ae9dc92510baca
 https://conda.anaconda.org/conda-forge/linux-64/hdfeos2-2.20-hebf79cf_1003.conda#23bb57b64a629bc3b33379beece7f0d7
 https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda#3f43953b7d3fb3aaa1d0d0723d91e368
-https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-h661eb56_2.conda#02e41ab5834dcdcc8590cf29d9526f50
+https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-he8f35ee_3.conda#1091193789bb830127ed067a9e01ac57
 https://conda.anaconda.org/conda-forge/linux-64/libavif16-1.1.1-h9b56c87_0.conda#cb7355212240e92dcf9c73cb1f10e4a9
 https://conda.anaconda.org/conda-forge/linux-64/libgit2-1.7.1-hca3a8ce_0.conda#6af97ac284ffaf76d8f63cc1f9d64f7a
 https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-hbbc8833_1020.conda#6d76c5822cb38bc1ab5a06565c6cf626
 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda#ae05ece66d3924ac3d48b4aa3fa96cec
-https://conda.anaconda.org/conda-forge/linux-64/libopenblas-ilp64-0.3.27-pthreads_h0afdb33_1.conda#b8df7702cfffde88587fa022a2fa0e66
+https://conda.anaconda.org/conda-forge/linux-64/libopenblas-ilp64-0.3.28-pthreads_h3e26593_0.conda#2bd7dc48907a3b6bf766ed87867f3459
 https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.25.3-h08a7969_0.conda#6945825cebd2aeb16af4c69d97c32c13
 https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2023.09.01-h5a48ba9_2.conda#41c69fba59d495e8cf5ffda48a607e35
 https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-hb58d41b_14.conda#264f9a3a4ea52c8f4d3e8ae1213a3335
@@ -176,7 +176,7 @@ https://conda.anaconda.org/conda-forge/linux-64/ucx-1.15.0-ha691c75_8.conda#3f9b
 https://conda.anaconda.org/conda-forge/linux-64/udunits2-2.2.28-h40f5838_3.conda#6bb8deb138f87c9d48320ac21b87e7a1
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda#077b6e8ad6a3ddb741fce2496dd01bec
 https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_0.conda#ae5f4ad87126c55ba3f690ef07f81d64
-https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.3.5-pyhd8ed1ab_0.conda#d904abda207d2dba054fd820d34bbaee
+https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.4.0-pyhd8ed1ab_0.conda#0482cd2217e27b3ce47676d570ac3d45
 https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_0.conda#7d78a232029458d0077ede6cda30ed0c
 https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.11.1-pyhd8ed1ab_0.tar.bz2#15109c4977d39ad7aa3423f57243e286
 https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2#c0481c9de49f040272556e2cedf42816
@@ -215,7 +215,7 @@ https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h743c826_0.conda#12
 https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.4.1-py311h459d7ec_0.conda#b267e553a337e1878512621e374845c5
 https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.6.1-pyhff2d567_0.conda#996bf792cdb8c0ac38ff54b9fde56841
 https://conda.anaconda.org/conda-forge/noarch/geographiclib-2.0-pyhd8ed1ab_0.tar.bz2#6b1f32359fc5d2ab7b491d0029bfffeb
-https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda#219ba82e95d7614cf7140d2a4afc0926
+https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-he02047a_3.conda#c7f243bbaea97cd6ea1edd693270100e
 https://conda.anaconda.org/conda-forge/linux-64/gfortran_impl_linux-64-14.1.0-he4a1faa_0.conda#a9ce7cd0848a93a8df88c1fc0ac84d9d
 https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-14.1.0-h8d00ecb_0.conda#dacdca4eeb41f72d5df4511a2c06b992
 https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71
@@ -249,7 +249,7 @@ https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
 https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda#4eccaeba205f0aed9ac3a9ea58568ca3
 https://conda.anaconda.org/conda-forge/noarch/natsort-8.4.0-pyhd8ed1ab_0.conda#70959cd1db3cf77b2a27a0836cfd08a7
 https://conda.anaconda.org/conda-forge/noarch/networkx-3.3-pyhd8ed1ab_1.conda#d335fd5704b46f4efb89a6774e81aef0
-https://conda.anaconda.org/conda-forge/linux-64/openblas-ilp64-0.3.27-pthreads_h3d04fff_1.conda#28fbd591e65453a85152d57c92afb990
+https://conda.anaconda.org/conda-forge/linux-64/openblas-ilp64-0.3.28-pthreads_h3d04fff_0.conda#eb2736b14329cf5650917caa43a549c6
 https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda#7f2e286780f072ed750df46dc2631138
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@@ -268,7 +268,7 @@ https://conda.anaconda.org/conda-forge/noarch/pyshp-2.3.1-pyhd8ed1ab_0.tar.bz2#9
 https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2#2a7de29fb590ca14b5243c4c812c8025
 https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda#b98d2018c01ce9980c03ee2850690fab
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+https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.7.0-py311h07ce7c0_0.conda#73a9996e4b765455696b53bf74865b09
+https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.0-py311h0a5b728_2.conda#9a1e580d3c39175925a652eda3bbccc8
 https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.2-py311he06c224_0.conda#c90e2469d7512f3bba893533a82d7a02
 https://conda.anaconda.org/conda-forge/noarch/snuggs-1.4.7-pyhd8ed1ab_1.conda#5abeaa41ec50d4d1421a8bc8fbc93054
 https://conda.anaconda.org/conda-forge/linux-64/tempest-remap-2.2.0-h13910d2_3.conda#7f10762cd62c8ad03323c4dc3ee544b1
@@ -465,12 +466,12 @@ https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda#e
 https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.267-hbf3e495_6.conda#a6caf5a0d9ca940d95f21d40afe8f857
 https://conda.anaconda.org/conda-forge/noarch/bokeh-3.5.1-pyhd8ed1ab_0.conda#d1e7e496405a75fd48ea94f2560c6843
 https://conda.anaconda.org/conda-forge/linux-64/cf-units-3.2.0-py311h18e1886_5.conda#6cd3facab7a79de14abb1a86a2d830fa
-https://conda.anaconda.org/conda-forge/noarch/distributed-2024.8.0-pyhd8ed1ab_0.conda#f9a7fbaeb79d4b57d1ed742930b4eec4
+https://conda.anaconda.org/conda-forge/noarch/distributed-2024.8.1-pyhd8ed1ab_0.conda#5e5a5b4d85a972250b52cb54452085fd
 https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.32.1-h35c6de3_0.conda#09d044f9206700e021916675a16d1e4d
 https://conda.anaconda.org/conda-forge/linux-64/esmf-8.6.1-nompi_h0a5817f_2.conda#e23c62f75f67166cf4ca137fc8bcdce7
 https://conda.anaconda.org/conda-forge/noarch/imagehash-4.3.1-pyhd8ed1ab_0.tar.bz2#132ad832787a2156be1f1b309835001a
 https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.7.2-h6238fc3_5.conda#2fef4283b2bb45a66f8b81099d36721e
-https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.1-py311h74b4f7c_2.conda#e4a26e6bd32d4af38492ba68caaa16d1
+https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py311h74b4f7c_0.conda#de8e36c9792f14eed7e11e672f03fbf0
 https://conda.anaconda.org/conda-forge/noarch/myproxyclient-2.1.1-pyhd8ed1ab_0.conda#bcdbeb2b693eba886583a907840c6421
 https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda#0b57b5368ab7fc7cdc9e3511fa867214
 https://conda.anaconda.org/conda-forge/linux-64/netcdf4-1.7.1-nompi_py311h25b3b55_101.conda#936afeddfa3704eb834d0887b0838826
@@ -486,7 +487,7 @@ https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.1-py311hd632256
 https://conda.anaconda.org/conda-forge/noarch/seawater-3.3.5-pyhd8ed1ab_0.conda#8e1b01f05e8f97b0fcc284f957175903
 https://conda.anaconda.org/conda-forge/noarch/sparse-0.15.4-pyhd8ed1ab_0.conda#846d12530687ba836791dd54db1f45c5
 https://conda.anaconda.org/conda-forge/linux-64/statsmodels-0.14.2-py311h18e1886_0.conda#82c29bf38b3fb66da09736106609b5fe
-https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.7.24-pyhd8ed1ab_0.conda#5e59c23bd7626e83acf61657cf0512e9
+https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.8.10-pyhd8ed1ab_0.conda#4299bb3917015d44536cd73001256b19
 https://conda.anaconda.org/conda-forge/noarch/xarray-2024.7.0-pyhd8ed1ab_0.conda#a7d4ff4bf1502eaba3fbbaeba66969ec
 https://conda.anaconda.org/conda-forge/noarch/zarr-2.18.2-pyhd8ed1ab_0.conda#02f53038910b6fbc9d36bd5f663318e8
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.23.0-py311h14de704_1.conda#27e5956e552c6e71f56cb1ec042617a8
@@ -513,14 +514,14 @@ https://conda.anaconda.org/conda-forge/noarch/pyroma-4.2-pyhd8ed1ab_0.conda#fe2a
 https://conda.anaconda.org/conda-forge/linux-64/r-base-4.2.3-h0887e52_8.conda#34cb3750c8a6da10a490e470f87e670b
 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.9-py311h40fbdff_0.conda#dcee6ba4d1ac6af18827d0941b6a1b42
 https://conda.anaconda.org/conda-forge/noarch/requests-cache-1.2.1-pyhd8ed1ab_0.conda#c6089540fed51a9a829aa19590fa925b
-https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.24.0-py311h14de704_1.conda#873580dfb41f82fe67dcd525bd243027
+https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.24.0-py311h044e617_2.conda#5ea04101a9da03787ba90e9c741eb818
 https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.13.2-pyhd8ed1ab_2.conda#b713b116feaf98acdba93ad4d7f90ca1
 https://conda.anaconda.org/conda-forge/noarch/cads-api-client-1.2.0-pyhd8ed1ab_0.conda#951fd1e2d64ce5790c9fc011445090ce
 https://conda.anaconda.org/conda-forge/linux-64/cdo-2.3.0-h24bcfa3_0.conda#238311a432a8e49943d3348e279af714
 https://conda.anaconda.org/conda-forge/noarch/esgf-pyclient-0.3.1-pyhca7485f_3.conda#1d43833138d38ad8324700ce45a7099a
 https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.5-py311hbac4ec9_0.conda#786d3808394b1bdfd3f41f2e2c67279e
 https://conda.anaconda.org/conda-forge/linux-64/graphviz-8.1.0-h28d9a01_0.conda#33628e0e3de7afd2c8172f76439894cb
-https://conda.anaconda.org/conda-forge/noarch/iris-3.9.0-pyha770c72_0.conda#efaf150eb009f04efa58f1401c767192
+https://conda.anaconda.org/conda-forge/noarch/iris-3.10.0-pyha770c72_1.conda#b7212cd8247ce909631fdcb77015914a
 https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-15.0.2-hac33072_2_cpu.conda#12951edff85582aedcd2db0b79393102
 https://conda.anaconda.org/conda-forge/linux-64/libarrow-flight-15.0.2-hd42f311_2_cpu.conda#dcc3a1e12157bbbbae96029d9d34fd0e
 https://conda.anaconda.org/conda-forge/linux-64/libarrow-gandiva-15.0.2-hd4ab825_2_cpu.conda#a4aa5cd69e0d1959f7c965437e7ac93d
@@ -592,7 +593,7 @@ https://conda.anaconda.org/conda-forge/linux-64/r-yaml-2.3.8-r42h57805ef_0.conda
 https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_2.conda#a79d8797f62715255308d92d3a91ef2e
 https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.7-pyhd8ed1ab_0.conda#42301f78a4c6d2500f891b9723160d5c
 https://conda.anaconda.org/conda-forge/noarch/xgboost-2.1.1-cuda118_pyh98e67c5_1.conda#b0f361dd5da1239f504facde3661575f
-https://conda.anaconda.org/conda-forge/noarch/cdsapi-0.7.0-pyhd8ed1ab_0.conda#f7433e3bd2749b934ddf81451a45967d
+https://conda.anaconda.org/conda-forge/noarch/cdsapi-0.7.1-pyhd8ed1ab_0.conda#a15ab5ec03073d687e31dd9792c19d64
 https://conda.anaconda.org/conda-forge/linux-64/imagemagick-7.1.1_19-pl5321h7e74ff9_0.conda#a4a0ce7caba20cae61aac9aeacbd76c2
 https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-15.0.2-hac33072_2_cpu.conda#48c711b4e07664ec7b245a9664be60a1
 https://conda.anaconda.org/conda-forge/linux-64/libarrow-flight-sql-15.0.2-h9241762_2_cpu.conda#97e46f0f20157e19487ca3e65100247a
@@ -656,13 +657,13 @@ https://conda.anaconda.org/conda-forge/noarch/r-multiapply-2.1.4-r42hc72bb7e_1.c
 https://conda.anaconda.org/conda-forge/noarch/r-pillar-1.9.0-r42hc72bb7e_1.conda#07d5ce8e710897745f14c951ff947cdd
 https://conda.anaconda.org/conda-forge/linux-64/r-purrr-1.0.2-r42h57805ef_0.conda#7985dada48799b7814ca069794d0b1a3
 https://conda.anaconda.org/conda-forge/noarch/r-r.cache-0.16.0-r42hc72bb7e_2.conda#34daac4e8faee056f15abdee858fc721
-https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.10-pyhd8ed1ab_0.conda#88efd31bf04d9f7a2ac7d02ab568d37d
+https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.11-pyhd8ed1ab_0.conda#e66672d843c0bfc65f2e4f9badaf6ba9
 https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_0.conda#ccc06e6ef2064ae129fab3286299abda
 https://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.3-r42hc72bb7e_0.conda#f34d40a3f0f9160fdd2bccaae8e185d1
 https://conda.anaconda.org/conda-forge/noarch/r-lintr-3.1.2-r42hc72bb7e_0.conda#ef49cc606b94a9d5f30b9c48f5f68848
 https://conda.anaconda.org/conda-forge/linux-64/r-sf-1.0_14-r42h85a8d9e_1.conda#ad59b523759f3e8acc6fd623cfbfb5a9
 https://conda.anaconda.org/conda-forge/linux-64/r-tibble-3.2.1-r42h57805ef_2.conda#b1278a5148c9e52679bb72112770cdc3
-https://conda.anaconda.org/conda-forge/noarch/dask-2024.8.0-pyhd8ed1ab_0.conda#795f3557b117402208fe1e0e20d943ed
+https://conda.anaconda.org/conda-forge/noarch/dask-2024.8.1-pyhd8ed1ab_0.conda#95277bf15c984015cb76f85a629d622e
 https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.1-r42hc72bb7e_0.conda#77cc0254e0dc92e5e7791ce20a170f74
 https://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r42hc72bb7e_3.conda#5ccfee6f3b94e6b247c7e1929b24f1cc
 https://conda.anaconda.org/conda-forge/noarch/iris-esmf-regrid-0.11.0-pyhd8ed1ab_0.conda#b30cbc09f81d9dbaf8b74f2c8eacddc5
@@ -675,7 +676,7 @@ https://conda.anaconda.org/conda-forge/noarch/r-spei-1.8.1-r42hc72bb7e_1.conda#7
 https://conda.anaconda.org/conda-forge/linux-64/r-geomap-2.5_5-r42h57805ef_0.conda#e58ccf961b56e57d7c1e50995005b0bd
 https://conda.anaconda.org/conda-forge/noarch/r-s2dverification-2.10.3-r42hc72bb7e_2.conda#8079a86a913155fe2589ec0b76dc9f5e
 https://conda.anaconda.org/conda-forge/noarch/autodocsumm-0.2.13-pyhd8ed1ab_0.conda#b2f4f2f3923646802215b040e63d042e
-https://conda.anaconda.org/conda-forge/noarch/nbsphinx-0.9.4-pyhd8ed1ab_0.conda#9dc80eaeff56fb67dbf4f871b81bc13a
+https://conda.anaconda.org/conda-forge/noarch/nbsphinx-0.9.5-pyhd8ed1ab_0.conda#b808b8a0494c5cca76200c73e260a060
 https://conda.anaconda.org/conda-forge/noarch/pydata-sphinx-theme-0.15.4-pyhd8ed1ab_0.conda#c7c50dd5192caa58a05e6a4248a27acb
 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

From 60938a68685420edc0c25ce9bc985dbef3252527 Mon Sep 17 00:00:00 2001
From: Felicity Chun <32269066+flicj191@users.noreply.github.com>
Date: Sat, 7 Sep 2024 05:13:53 +1000
Subject: [PATCH 5/6] Update NSIDC_G02202_sh CMORiser to add bounds for lat,lon
 and time (#3744)

---
 .../formatters/datasets/nsidc_g02202_sh.py    | 38 +++++++++++--------
 1 file changed, 22 insertions(+), 16 deletions(-)

diff --git a/esmvaltool/cmorizers/data/formatters/datasets/nsidc_g02202_sh.py b/esmvaltool/cmorizers/data/formatters/datasets/nsidc_g02202_sh.py
index c206f817cb..202e370043 100644
--- a/esmvaltool/cmorizers/data/formatters/datasets/nsidc_g02202_sh.py
+++ b/esmvaltool/cmorizers/data/formatters/datasets/nsidc_g02202_sh.py
@@ -27,13 +27,15 @@
 import re
 
 import numpy as np
-
 import iris
 from cf_units import Unit
 from iris.coords import AuxCoord
 
+from esmvalcore.cmor._fixes.common import OceanFixGrid
+from esmvalcore.cmor.fixes import get_time_bounds
 from esmvaltool.cmorizers.data import utilities as utils
 
+
 logger = logging.getLogger(__name__)
 
 
@@ -71,7 +73,7 @@ def _create_coord(cubes, var_name, standard_name):
         standard_name=standard_name,
         long_name=cube.long_name,
         var_name=var_name,
-        units='degrees'  # cube.units,
+        units='degrees'
     )
     return coord
 
@@ -85,24 +87,27 @@ def _extract_variable(raw_var, cmor_info, attrs, filepath, out_dir, latlon):
     cube = cubes.concatenate_cube()
     iris.util.promote_aux_coord_to_dim_coord(cube, 'projection_y_coordinate')
     iris.util.promote_aux_coord_to_dim_coord(cube, 'projection_x_coordinate')
-    cube.coord('projection_y_coordinate').rename('y')
-    cube.coord('projection_x_coordinate').rename('x')
 
     cube.add_aux_coord(latlon[0], (1, 2))
     cube.add_aux_coord(latlon[1], (1, 2))
+
     # add coord typesi
     area_type = AuxCoord([1.0], standard_name='area_type', var_name='type',
                          long_name='Sea Ice area type')
     cube.add_aux_coord(area_type)
 
-    # cube.convert_units(cmor_info.units)
     cube.units = '%'
     cube.data[cube.data > 100] = np.nan
     cube = cube * 100
 
-    # utils.fix_coords(cube) #latlon multidimensional
     utils.fix_var_metadata(cube, cmor_info)
     utils.set_global_atts(cube, attrs)
+    # latlon are multidimensional, create bounds
+    siconc = OceanFixGrid(cmor_info)
+    cube = siconc.fix_metadata(cubes=[cube])[0]
+    # time bounds
+    cube.coord('time').bounds = get_time_bounds(cube.coord('time'),
+                                                cmor_info.frequency)
 
     utils.save_variable(cube,
                         var,
@@ -133,8 +138,9 @@ def _create_areacello(cfg, in_dir, sample_cube, glob_attrs, out_dir):
                           long_name=var_info.long_name,
                           var_name=var_info.short_name,
                           units='m2',
-                          dim_coords_and_dims=[(sample_cube.coord('y'), 0),
-                                               (sample_cube.coord('x'), 1)])
+                          # time is index 0, add cell index dim
+                          dim_coords_and_dims=[(sample_cube.coords()[1], 0),
+                                               (sample_cube.coords()[2], 1)])
     cube.add_aux_coord(lat_coord, (0, 1))
     cube.add_aux_coord(sample_cube.coord('longitude'), (0, 1))
     utils.fix_var_metadata(cube, var_info)
@@ -152,15 +158,17 @@ def cmorization(in_dir, out_dir, cfg, cfg_user, start_date, end_date):
     cubesaux = iris.load(os.path.join(in_dir, 'G02202-cdr-ancillary-sh.nc'))
     lat_coord = _create_coord(cubesaux, 'lat', 'latitude')
     lon_coord = _create_coord(cubesaux, 'lon', 'longitude')
+
     year = 1978
     # split by year..
     sample_cube = None
-    while year <= 2022:
+    for year in range(1979, 2022, 1):
 
         filepaths = _get_filepaths(in_dir, cfg['filename'], year)
 
         if len(filepaths) > 0:
-            logger.info("Found %d files in '%s'", len(filepaths), in_dir)
+            logger.info("Year %d: Found %d files in '%s'",
+                        year, len(filepaths), in_dir)
 
             for (var, var_info) in cfg['variables'].items():
                 logger.info("CMORizing variable '%s'", var)
@@ -173,10 +181,8 @@ def cmorization(in_dir, out_dir, cfg, cfg_user, start_date, end_date):
                                                           lon_coord])
 
         else:
-            logger.info("No files found ")
-            logger.info("year: %d basename: %s", year, cfg['filename'])
-
-        year += 1
+            logger.info("No files found year: %d basename: %s",
+                        year, cfg['filename'])
 
-        if sample_cube is not None:
-            _create_areacello(cfg, in_dir, sample_cube, glob_attrs, out_dir)
+    if sample_cube is not None:
+        _create_areacello(cfg, in_dir, sample_cube, glob_attrs, out_dir)

From 8d15ce24a762d5b39ecc1e72cfea66f4fe4beebd Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 12 Sep 2024 16:10:43 +0100
Subject: [PATCH 6/6] [Condalock] Update Linux condalock file (#3742)

Co-authored-by: valeriupredoi <valeriupredoi@users.noreply.github.com>
---
 conda-linux-64.lock | 239 ++++++++++++++++++++++----------------------
 1 file changed, 121 insertions(+), 118 deletions(-)

diff --git a/conda-linux-64.lock b/conda-linux-64.lock
index 4f526a49c0..af2625f1b7 100644
--- a/conda-linux-64.lock
+++ b/conda-linux-64.lock
@@ -6,32 +6,41 @@ https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.ta
 https://conda.anaconda.org/conda-forge/linux-64/_py-xgboost-mutex-2.0-gpu_0.tar.bz2#7702188077361f43a4d61e64c694f850
 https://conda.anaconda.org/conda-forge/noarch/_r-mutex-1.0.1-anacondar_1.tar.bz2#19f9db5f4f1b7f5ef5f6d67207f25f38
 https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_16.conda#1c005af0c6ff22814b7c52ee448d4bea
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.7.4-hbcca054_0.conda#23ab7665c5f63cfb9f1f6195256daac6
+https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244
 https://conda.anaconda.org/conda-forge/noarch/cuda-version-11.8-h70ddcb2_3.conda#670f0e1593b8c1d84f57ad5fe5256799
 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_2.conda#cbbe59391138ea5ad3658c76912e147f
 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda#b80f2f396ca2c28b8c14c437a4ed1e74
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+https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.4-ha770c72_0.conda#61c94057aaa5ae6145137ce1fddb2c04
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