From a3df6a8077eb79ae94f937b82a711fea96699bd1 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Wed, 3 Apr 2024 13:44:56 +0100 Subject: [PATCH 01/21] [Condalock] Update Linux condalock file (#3560) Co-authored-by: valeriupredoi --- conda-linux-64.lock | 40 ++++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/conda-linux-64.lock b/conda-linux-64.lock index 0f803ec0ca..36b98edc2e 100644 --- a/conda-linux-64.lock +++ b/conda-linux-64.lock @@ -31,7 +31,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_5.cond https://conda.anaconda.org/conda-forge/linux-64/aom-3.5.0-h27087fc_0.tar.bz2#a08150fd2298460cd1fcccf626305642 https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.23-hd590300_0.conda#cc4f06f7eedb1523f3b83fd0fb3942ff https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda#69b8b6202a07720f448be700e300ccf4 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-https://conda.anaconda.org/conda-forge/noarch/xarray-2024.2.0-pyhd8ed1ab_0.conda#8e25aab3323476d4fd0b5f6bad05d403 +https://conda.anaconda.org/conda-forge/noarch/xarray-2024.3.0-pyhd8ed1ab_0.conda#772d7ee42b65d0840130eabd5bd3fc17 https://conda.anaconda.org/conda-forge/noarch/zarr-2.17.1-pyhd8ed1ab_0.conda#8c67aa8327cbab135ea576568df3190c https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.22.0-py311h320fe9a_1.conda#10d1806e20da040c58c36deddf51c70c https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.9.0-pyhd8ed1ab_0.conda#33070a578d45591f242a254f78f86f10 @@ -565,7 +565,7 @@ https://conda.anaconda.org/conda-forge/linux-64/imagemagick-7.1.1_15-pl5321hf48e https://conda.anaconda.org/conda-forge/noarch/iris-3.8.1-pyha770c72_0.conda#b08a116ef1607e7e960a4caa902e3a90 https://conda.anaconda.org/conda-forge/noarch/lime-0.2.0.1-pyhd8ed1ab_1.tar.bz2#789ce01416721a5533fb74aa4361fd13 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https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.4-pyhd8ed1ab_1.conda#9fff981af43f3226bac0c91e9bf67f2e https://conda.anaconda.org/conda-forge/noarch/xgboost-2.0.3-cuda118_pyh5ebfdf7_1.conda#9ca04fca5cb67e6f2e51d0eb0277cf67 -https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.0.4-pyhd8ed1ab_0.conda#7c68457355bc3c6ae21cc2c17f576d76 -https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.2-pyhd8ed1ab_0.conda#7a0bfebd69213722427cb61b077b4187 +https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.0.5-pyhd8ed1ab_0.conda#d1e973e2e617f806194f4e664c2d3d33 +https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.3-hd8ed1ab_0.conda#1344bbd74e8bcd1acdd8ec0824e9840c https://conda.anaconda.org/conda-forge/noarch/prov-2.0.0-pyhd3deb0d_0.tar.bz2#aa9b3ad140f6c0668c646f32e20ccf82 https://conda.anaconda.org/conda-forge/noarch/psy-maps-1.4.2-pyhd8ed1ab_0.tar.bz2#3ed13103dfd46f71dc870d188bd0b276 https://conda.anaconda.org/conda-forge/linux-64/psy-reg-1.4.0-py311h38be061_3.conda#6f7871722c07922028043144e8873b37 @@ -624,7 +624,7 @@ https://conda.anaconda.org/conda-forge/linux-64/r-specsverification-0.5_3-r41ha5 https://conda.anaconda.org/conda-forge/linux-64/r-splancs-2.01_43-r41h8da6f51_1.tar.bz2#3a6aad0706541141d10e3b514467a080 https://conda.anaconda.org/conda-forge/linux-64/r-vctrs-0.6.2-r41ha503ecb_0.conda#1f7610a1863648cab254a9f85bd29dcd https://conda.anaconda.org/conda-forge/noarch/dask-2024.3.1-pyhd8ed1ab_0.conda#e3f23f17022881c62e75ddbab7a61f9e -https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.16.2-pyhd8ed1ab_0.conda#e14e35cc4a5c90694bb41c5317b576a8 +https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.16.3-hd8ed1ab_0.conda#b0c9bbbe54a11a6db3bec51eb0ef0281 https://conda.anaconda.org/conda-forge/noarch/r-cyclocomp-1.1.0-r41hc72bb7e_1005.tar.bz2#800e1da5bf774be48934b8865dd78d33 https://conda.anaconda.org/conda-forge/noarch/r-gridextra-2.3-r41hc72bb7e_1004.tar.bz2#71ebed7e976df735ff3443bb88bd154f https://conda.anaconda.org/conda-forge/noarch/r-httr-1.4.6-r41hc72bb7e_0.conda#53dbb769c96782db54bf2d414fc9b239 From e790171469db25d7f78b54ad2d463d6520e968d5 Mon Sep 17 00:00:00 2001 From: Bouwe Andela Date: Wed, 3 Apr 2024 14:47:16 +0200 Subject: [PATCH 02/21] Fix Codacy badge (#3558) --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 4fbe8aa84e..b196f7fbb8 100644 --- a/README.md +++ b/README.md @@ -5,8 +5,7 @@ [![Chat on Matrix](https://matrix.to/img/matrix-badge.svg)](https://matrix.to/#/#ESMValGroup_Lobby:gitter.im) [![CircleCI](https://circleci.com/gh/ESMValGroup/ESMValTool/tree/main.svg?style=svg)](https://circleci.com/gh/ESMValGroup/ESMValTool/tree/main) [![Test in Full Development Mode](https://github.com/ESMValGroup/ESMValTool/actions/workflows/test-development.yml/badge.svg)](https://github.com/ESMValGroup/ESMValTool/actions/workflows/test-development.yml) -[![Codacy Badge](https://app.codacy.com/project/badge/Coverage/79bf6932c2e844eea15d0fb1ed7e415c)](https://www.codacy.com/gh/ESMValGroup/ESMValTool?utm_source=github.com&utm_medium=referral&utm_content=ESMValGroup/ESMValTool&utm_campaign=Badge_Coverage) -[![Codacy Badge](https://app.codacy.com/project/badge/Grade/79bf6932c2e844eea15d0fb1ed7e415c)](https://www.codacy.com/gh/ESMValGroup/ESMValTool?utm_source=github.com&utm_medium=referral&utm_content=ESMValGroup/ESMValTool&utm_campaign=Badge_Grade) +[![Codacy Badge](https://app.codacy.com/project/badge/Grade/79bf6932c2e844eea15d0fb1ed7e415c)](https://app.codacy.com/gh/ESMValGroup/ESMValTool/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) [![Docker Build Status](https://img.shields.io/docker/cloud/build/esmvalgroup/esmvaltool.svg)](https://hub.docker.com/r/esmvalgroup/esmvaltool/) [![Anaconda-Server Badge](https://img.shields.io/conda/vn/conda-forge/ESMValTool?color=blue&label=conda-forge&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/esmvaltool) ![stand with Ukraine](https://badgen.net/badge/stand%20with/UKRAINE/?color=0057B8&labelColor=FFD700) From 0b7ff5dc3da2b7c39ebd7a5c17f418599653fe47 Mon Sep 17 00:00:00 2001 From: Alistair Sellar <16133375+alistairsellar@users.noreply.github.com> Date: Wed, 3 Apr 2024 13:51:37 +0100 Subject: [PATCH 03/21] Add imagehash package as an ESMValTool dependency (#3557) --- environment.yml | 3 ++- environment_osx.yml | 3 ++- setup.py | 5 +++-- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/environment.yml b/environment.yml index 1a1c960942..54a79f4eac 100644 --- a/environment.yml +++ b/environment.yml @@ -67,7 +67,7 @@ dependencies: - xgboost >1.6.1 # github.com/ESMValGroup/ESMValTool/issues/2779 - xlsxwriter - zarr - # Python packages needed for testing + # Python packages needed for unit testing - flake8 - pytest >=3.9,!=6.0.0rc1,!=6.0.0 - pytest-cov @@ -84,6 +84,7 @@ dependencies: # Python packages needed for development - codespell - docformatter + - imagehash - isort - pre-commit - prospector diff --git a/environment_osx.yml b/environment_osx.yml index 6d14f65227..1752608984 100644 --- a/environment_osx.yml +++ b/environment_osx.yml @@ -67,7 +67,7 @@ dependencies: - xgboost >1.6.1 # github.com/ESMValGroup/ESMValTool/issues/2779 - xlsxwriter - zarr - # Python packages needed for testing + # Python packages needed for unit testing - flake8 - pytest >=3.9,!=6.0.0rc1,!=6.0.0 - pytest-cov @@ -84,6 +84,7 @@ dependencies: # Python packages needed for development - codespell - docformatter + - imagehash - isort - pre-commit - prospector diff --git a/setup.py b/setup.py index 16a76cec75..5c992b76d0 100755 --- a/setup.py +++ b/setup.py @@ -74,8 +74,8 @@ 'xlsxwriter', 'zarr', ], - # Test dependencies - # Execute `pip install .[test]` once and the use `pytest` to run tests + # Test dependencies (unit tests) + # Execute `pip install .[test]` once and then use `pytest` to run tests 'test': [ 'flake8', 'pytest>=3.9,!=6.0.0rc1,!=6.0.0', @@ -98,6 +98,7 @@ 'develop': [ 'codespell', 'docformatter', + 'imagehash', 'isort', 'pre-commit', 'prospector[with_pyroma]!=1.1.6.3,!=1.1.6.4', From ae03fca35030443385cd701fc537c5cdcd77a17b Mon Sep 17 00:00:00 2001 From: Valeriu Predoi Date: Fri, 5 Apr 2024 12:45:02 +0100 Subject: [PATCH 04/21] unpin `r-akima` (#3564) --- environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/environment.yml b/environment.yml index 54a79f4eac..7e701affaa 100644 --- a/environment.yml +++ b/environment.yml @@ -103,7 +103,7 @@ dependencies: - cdo - r-base >=3.5 - r-abind - - r-akima <=0.6-2.3 # see https://github.com/ESMValGroup/ESMValTool/issues/2695 + - r-akima - r-climdex.pcic - r-climprojdiags - r-docopt From 8aa14cd6ced23cf1ea6358d724f4bc5b212869a9 Mon Sep 17 00:00:00 2001 From: catherinehardacre <84192386+catherinehardacre@users.noreply.github.com> Date: Thu, 11 Apr 2024 01:19:33 +1200 Subject: [PATCH 05/21] Add support for aerosol optical depth climatology metrics to the AutoAssess replacement (#3048) Co-authored-by: catherine.hardacre Co-authored-by: Valeriu Predoi Co-authored-by: Joakim Low Co-authored-by: Alistair Sellar <16133375+alistairsellar@users.noreply.github.com> --- .github/workflows/test.yml | 1 - CITATION.cff | 5 + ...n_historical_od440aer_gn_1988_2008_DJF.png | Bin 0 -> 229832 bytes ...n_historical_od440aer_gn_1988_2008_JJA.png | Bin 0 -> 248320 bytes ...n_historical_od440aer_gn_1988_2008_MAM.png | Bin 0 -> 232572 bytes ...n_historical_od440aer_gn_1988_2008_SON.png | Bin 0 -> 237527 bytes ...storical_od440aer_gn_1988_2008_scatter.png | Bin 0 -> 107511 bytes ...n_historical_od440aer_gn_1994_2014_DJF.png | Bin 0 -> 867232 bytes ...n_historical_od440aer_gn_1994_2014_JJA.png | Bin 0 -> 929456 bytes ...n_historical_od440aer_gn_1994_2014_MAM.png | Bin 0 -> 870739 bytes ...n_historical_od440aer_gn_1994_2014_SON.png | Bin 0 -> 900009 bytes ...storical_od440aer_gn_1994_2014_scatter.png | Bin 0 -> 112669 bytes doc/sphinx/source/recipes/index.rst | 1 + .../recipes/recipe_aod_aeronet_assess.rst | 161 +++++++ esmvaltool/config-references.yml | 4 + .../diag_scripts/aerosols/aero_utils.py | 193 ++++++++ .../aerosols/aod_aeronet_assess.py | 448 ++++++++++++++++++ .../recipes/recipe_aod_aeronet_assess.yml | 65 +++ 18 files changed, 877 insertions(+), 1 deletion(-) create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1988_2008_DJF.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1988_2008_JJA.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1988_2008_MAM.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1988_2008_SON.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1988_2008_scatter.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_DJF.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_JJA.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_MAM.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_SON.png create mode 100644 doc/sphinx/source/recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_scatter.png create mode 100644 doc/sphinx/source/recipes/recipe_aod_aeronet_assess.rst create mode 100644 esmvaltool/diag_scripts/aerosols/aero_utils.py create mode 100644 esmvaltool/diag_scripts/aerosols/aod_aeronet_assess.py create mode 100644 esmvaltool/recipes/recipe_aod_aeronet_assess.yml diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 9eec648279..4e2698454f 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -6,7 +6,6 @@ on: push: branches: - main - - fix_recipe_filler_bkwds_incompatibility schedule: - cron: '0 0 * * *' diff --git a/CITATION.cff b/CITATION.cff index 5c253e3bb5..cd621538b7 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -175,6 +175,11 @@ authors: family-names: Hagemann given-names: Stefan orcid: "https://orcid.org/0000-0001-5444-2945" + - + affiliation: "University of Canterbury, New Zealand" + 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z753=JWX57WRNA~nKdgcYL02he=TmSMJ3b1As;8K?XEw$~McEPOQ`Cd@^h|4*m<+11QFK=MT1NFkUk&?r((n}lGlq? zg+hcx%uYyU4xPk~e48taf@wHZw);z@b*h9tV9+;9~ApC!RNfA(VfJ zrAE^7&@UDBQmHiW12+0zeDO>y_8;uj;$VW_opE!mLEc2AA2r2b17icQ_p-bPPcMwN;M0}rgns)(`P%>+jXIHC~*vkhCxAXx~j8nFqcSFgce?H>-=a54_ciFyTC4#!-$`n+=b&UXIrLILfh-$bF z&jb#jE}O7073%k}dEYk9p#HFS27Eqs{a^tIkL$rKDmdf%|C{`;&*bX@<80Fd^Oyg& QhdN)zF6PdH9f!mJ0`~mZf&c&j literal 0 HcmV?d00001 diff --git a/doc/sphinx/source/recipes/index.rst b/doc/sphinx/source/recipes/index.rst index edcc48977a..0f0ce7667d 100644 --- a/doc/sphinx/source/recipes/index.rst +++ b/doc/sphinx/source/recipes/index.rst @@ -62,6 +62,7 @@ Atmosphere recipe_thermodyn_diagtool recipe_validation recipe_radiation_budget + recipe_aod_aeronet_assess Climate metrics ^^^^^^^^^^^^^^^ diff --git a/doc/sphinx/source/recipes/recipe_aod_aeronet_assess.rst b/doc/sphinx/source/recipes/recipe_aod_aeronet_assess.rst new file mode 100644 index 0000000000..fec1bed761 --- /dev/null +++ b/doc/sphinx/source/recipes/recipe_aod_aeronet_assess.rst @@ -0,0 +1,161 @@ +.. _recipe_aod_aeronet_assess: + +AOD AeroNET Assess +================== + +Overview +-------- + +This diagnostic evaluates model aerosol optical depth (AOD) against ground +based observations from the AeroNET measurement network. Monthly mean AOD +data is downloaded from the AeroNET website and formatted (CMORized) using the +AERONET downloader and formatter within ESMValTool. + +Multiannual seasonal means are calculated from the model output and compared +with a multiannual seasonal mean climatology generated from AeroNET +observational data. At each AeroNET station the data are screened for validity +according to the following default criteria: + + * 1. Monthly means must be generated from at least one AOD observation in that + month. + + * 2. Seasonal means for DJF, MAM, JJA and SON must be calculated from three + monthly means, i.e. a monthly mean from December January and Feburary. + + * 3. For a given year to be valid, there must be a seasonal mean for each climate + season i.e. DJF, MAM, JJA and SON. + + * 4. For a multiannual seasonal means there must be at least five seasonaal means + over the time range of interest. + +NOTE: The code is designed to be flexible and the default criteria can be +changed according to the user's requirements (see the user settings below). + +The evaluation is visualised by plotting model output as 2D filled contours and +overlaying AeroNET observations at model grid cells co-located with the AeroNET +measurement stations. Statistical data (root mean square error) is generated +using AeroNET observations at model grid cells co-located with the AeroNET +measurement stations. + +Available recipes and diagnostics +--------------------------------- + +Recipes are stored in esmvaltool/recipes/ + + * recipe_aod_aeronet_assess.yml + +Diagnostics are stored in esmvaltool/diag_scripts/aerosols/ + + * aod_aeronet_assess.py: Plot the AOD evaluation. + * aero_utils.py: Utility functions commonly used by aerosol assessment routines. + + +User settings in recipe +----------------------- + +#. Script aod_aeronet_assess.py + + *Required settings for script* + + * wavel: The wavelength of interest for the evaluation, currently set up for 440nm + * min_days_per_mon: The minimum number of days used to calculate the AOD monthly mean + * min_mon_per_seas: The minimum number of seasons used to calculate each + seasonal mean. This must be between 1 and 3. + * min_seas_per_year: The minimum number of seasonal means in each year. This + must be between 1 and 4. + * min_seas_per_clim: The minimum number of seasonal means used to calculate + the multiannual seasonal mean. This must be btween 1 and the number of years + of available AeroNET data. + + *Optional settings for script* + + * None + + *Required settings for variables* + + * None + + *Optional settings for variables* + + * None + + *Required settings for preprocessor* + + * None + + *Optional settings for preprocessor* + + * None + + *Color tables* + + * brewer_Spectral_11 + + +Variables +--------- + +* od440aer (atmos, monthly mean, longitude latitude time) + + +Observations and reformat scripts +--------------------------------- + +* Note: (1) obs4MIPs data can be used directly without any preprocessing; (2) + see headers of reformat scripts for non-obs4MIPs data for download + instructions. + +* The AeroNET data is downloaded from the AeroNET website using the downloader: + + .. code-block:: yaml + + $ esmvaltool data download AERONET. + +* The AeroNET data is formatteed (CMORized) using the formatter: + + .. code-block:: yaml + + $ esmvaltool data format AERONET. + + + +References +---------- +* Holben B.N., T.F.Eck, I.Slutsker, D.Tanre, J.P.Buis, A.Setzer, E.Vermote, J.A.Reagan, Y.Kaufman, T.Nakajima, F.Lavenu, I.Jankowiak, and A.Smirnov, 1998: AERONET - A federated instrument network and data archive for aerosol characterization, Rem. Sens. Environ., 66, 1-16. + +* Holben, B.N., D.Tanre, A.Smirnov, T.F.Eck, I.Slutsker, N.Abuhassan, W.W.Newcomb, J.Schafer, B.Chatenet, F.Lavenue, Y.J.Kaufman, J.Vande Castle, A.Setzer, B.Markham, D.Clark, R.Frouin, R.Halthore, A.Karnieli, N.T.O'Neill, C.Pietras, R.T.Pinker, K.Voss, and G.Zibordi, 2001: An emerging ground-based aerosol climatology: Aerosol Optical Depth from AERONET, J. Geophys. Res., 106, 12 067-12 097. + +* Mulcahy, J. P., Johnson, C., Jones, C. G., Povey, A. C., Scott, C. E., Sellar, A., Turnock, S. T., Woodhouse, M. T., Abraham, N. L., Andrews, M. B., Bellouin, N., Browse, J., Carslaw, K. S., Dalvi, M., Folberth, G. A., Glover, M., Grosvenor, D. P., Hardacre, C., Hill, R., Johnson, B., Jones, A., Kipling, Z., Mann, G., Mollard, J., O’Connor, F. M., Palmiéri, J., Reddington, C., Rumbold, S. T., Richardson, M., Schitgens, N. A. J., Stier, P., Stringer, M., Tang, Y., Walton, J., Woodward, S., and Yool. A.: Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations, Geosci. Model Dev., 13, 6383–6423, 2020 + +Example plots +------------- + +.. _fig_aod_aeronet_assess_1: +.. figure:: /recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_DJF.png + :align: center + + Evaluation of AOD at 440 nm from UKESM1 historical ensemble member r1i1p1f2 against the AeroNET climatology from ground-based observations for Dec-Jan-Feb. The multiannual seasonal mean is calculated for the model data for the period 1994-2014. The model output is overlaid with the observational climatology. + +.. _fig_aod_aeronet_assess_2: +.. figure:: /recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_MAM.png + :align: center + + Evaluation of AOD at 440 nm from UKESM1 historical ensemble member r1i1p1f2 against the AeroNET climatology from ground-based observations for Mar_Apr_May. The multiannual seasonal mean is calculated for the model data for the period 1994-2014. The model output is overlaid with the observational climatology. + +.. _fig_aod_aeronet_assess_3: +.. figure:: /recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_JJA.png + :align: center + + Evaluation of AOD at 440 nm from UKESM1 historical ensemble member r1i1p1f2 against the AeroNET climatology from ground-based observations for Jun-Jul-Aug. The multiannual seasonal mean is calculated for the model data for the period 1994-2014. The model output is overlaid with the observational climatology. + +.. _fig_aod_aeronet_assess_4: +.. figure:: /recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_SON.png + :align: center + + Evaluation of AOD at 440 nm from UKESM1 historical ensemble member r1i1p1f2 against the AeroNET climatology from ground-based observations for Sep-Oct-Nov. The multiannual seasonal mean is calculated for the model data for the period 1994-2014. The model output is overlaid with the observational climatology. + +.. _fig_aod_aeronet_assess_5: +.. figure:: /recipes/figures/aod_aeronet_assess/UKESM1-0-LL_CMIP_AERmon_historical_od440aer_gn_1994_2014_scatter.png + :align: center + + Evaluation of AOD at 440 nm from UKESM1 historical ensemble member r1i1p1f2 against the AeroNET climatology from ground-based observations for Dec-Jan-Feb, Mar_Apr_May, Jun-Jul-Aug and Sep-Oct-Nov. The multiannual seasonal mean is calculated for the model data for the period 1994-2014. diff --git a/esmvaltool/config-references.yml b/esmvaltool/config-references.yml index 285ace740e..b5f43bc911 100644 --- a/esmvaltool/config-references.yml +++ b/esmvaltool/config-references.yml @@ -252,6 +252,10 @@ authors: name: Hansson, Ulf institute: SMHI, Sweden orcid: + hardacre_catherine: + name: Hardacre, Catherine + institute: University of Canterbury, New Zealand + orcid: https://orcid.org/0000-0001-9093-4656 hassler_birgit: name: Hassler, Birgit institute: DLR, Germany diff --git a/esmvaltool/diag_scripts/aerosols/aero_utils.py b/esmvaltool/diag_scripts/aerosols/aero_utils.py new file mode 100644 index 0000000000..623a85f2aa --- /dev/null +++ b/esmvaltool/diag_scripts/aerosols/aero_utils.py @@ -0,0 +1,193 @@ +"""Part of the ESMValTool Aerosol diagnostics. + +This module contains utility functions commonly used by aerosol +assessment routines. +""" + +import iris +import numpy as np + + +class AeroAnsError(Exception): + + """Exception class for errors raised when model data is checked in the + extract_pt module. + """ + + +def add_bounds(cube): + """Add bounds to a cube's latitude and longitude coordinates. + + Parameters + ---------- + cube : Iris cube + Iris cube with latitude and longitude coordinates. + + Returns + ------- + cube : Iris cube. + Iris cube with bounds added to the latitude and longitude coordinates. + """ + + if not cube.coord('latitude').has_bounds(): + cube.coord('latitude').guess_bounds() + if not cube.coord('longitude').has_bounds(): + cube.coord('longitude').guess_bounds() + + return cube + + +def extract_pt(icube, pt_lat, pt_lon, height=None, level=None, nearest=False): + """Extracts given location(s) (3-D) from a cube. + + Method + ------ + Uses Iris module Analysis.Interpolate to extract values, + initially based on horizontal coordinates, and then based on + height, if specified. + + If height ('altitude') is requested, checks if cube heights + include orography, i.e. HybridHeights have been derived. + + Parameters + ---------- + icube : Iris cube + pt_lat, pt_lon : Float or list/array of floats. Latitude and longitude + coordinates of desired points. + args: + height : Float or list/array of floats. Altitude (above geoid) of + point. Initialized to None. + level : Integer . Model level or pseudo level or tile number. + Initialized to None, meaning that all available levels in + the cube are used. + nearest : Boolean. Specify whether to use 'nearest neighbour', instead + of 'linear' method while extracting data. Default is False. + + Returns + ------- + data_out : List + List of single point values, corresponding to each point specified. + + Raises + ------ + AeroAnsError : If the number of latitude and longitude points are + mismatched. OR if both and level and height are passed as args. + OR if the cube contains a time coordinate. OR if a pseudo level + coordinate is requested, but not present in the cube. OR if the numbers + of latitude/longitude and height points are mismatched. OR if height + is requested but the cube does not contain an altitude coordinate. + """ + + # Check that input data is a (single) cube + if not isinstance(icube, iris.cube.Cube): + raise AeroAnsError('Extract_pt:First argument must be a single cube') + + # Check if the cube contains a time dimension, which is + # currently unsupported. + if icube.coords()[0].name() == 'time': + raise AeroAnsError( + 'Extract_pt:Cannot handle time dimension at present') + + # Check that equal number of lat/lon pairs are passed in point coordinates. + # Convert arguments to lists for easier processing if necessary. + pt_lat1 = [] + pt_lon1 = [] + + if not isinstance(pt_lat, list): + pt_lat1.append(pt_lat) + pt_lon1.append(pt_lon) + + else: + for n_lat in np.arange(len(pt_lat)): + pt_lat1.append(pt_lat[n_lat]) + pt_lon1.append(pt_lon[n_lat]) + + if len(pt_lat1) != len(pt_lon1): + raise AeroAnsError('Extract_pt:Mismatch in number of lat/long values') + + # Check that both level and height haven't been requested. + if level is not None and height is not None: + raise AeroAnsError('Extract_pt: Both Level and Height requested') + + # Check that the cube has a level coordinate if level has been requested. + if level is not None and not icube.coord( + 'model_level_number') and not icube.coord('pseudo_level'): + raise AeroAnsError('Extract_pt:Level requested, but not found in cube') + + # Check that the number of height points is equal to the number of + # lat/lon pairs. Convert the argument to a list for easier + # processing if necessary. + if height is not None: + pt_hgt = [] + +# if isinstance(height, list): +# pt_hgt.extend(height) +# else: +# pt_hgt.append(height) + pt_hgt.extend(height) if \ + isinstance(height, list) else \ + pt_hgt.append(height) + + if len(pt_lat1) != len(pt_hgt): + raise AeroAnsError( + 'Extract_pt:Mismatch in number of points for lat/long/height') + + # Check that heights have been merged with orography. + if not icube.coords('altitude'): + raise AeroAnsError( + 'Extract_pt:Height requested but input data does not contain \ + "Altitude" coordinate') + + # Store the min and max altitudes from cube data so that user + # cannot request points located below/ above that. + # Will extract =min/max if beyond limits. + hgt_min = icube.coord('altitude').points.min() + hgt_max = icube.coord('altitude').points.max() + + # ---------- Finished checks -- begin processing ------------------------- + + # If level specified, extract slice first + if level is not None: + + try: + icube = icube.extract( + iris.Constraint(model_level_number=level)) + + except Exception: + print('Model level number not available. Use pseudo level') + + else: + icube = icube.extract( + iris.Constraint(pseudo_level=level)) + + # Extract values for specified points lat/lon + # NOTE: Does not seem to handle multiple points if 3-D + data_out = [] + + # Set lat/lon coordinates for model grid cell interpolation + for n_lat1 in np.arange(len(pt_lat1)): + latlon_coords = [('latitude', pt_lat1[n_lat1]), + ('longitude', pt_lon1[n_lat1])] + + if nearest: + tcube = icube.interpolate(latlon_coords, iris.analysis.Nearest()) + else: + tcube = icube.interpolate(latlon_coords, iris.analysis.Linear()) + + # If height specified, interpolate to requested height + if height is not None: + + # Set vertical coordinates for model grid cell interpolation + point = max(pt_hgt[n_lat1], hgt_min) + point = min(pt_hgt[n_lat1], hgt_max) + hgt_coords = [('altitude', point)] + + if nearest: + tcube = tcube.interpolate(hgt_coords, iris.analysis.Nearest()) + else: + tcube = tcube.interpolate(hgt_coords, iris.analysis.Linear()) + + # Append processed data point + data_out.append(tcube.data) + + return data_out diff --git a/esmvaltool/diag_scripts/aerosols/aod_aeronet_assess.py b/esmvaltool/diag_scripts/aerosols/aod_aeronet_assess.py new file mode 100644 index 0000000000..27ab6b2714 --- /dev/null +++ b/esmvaltool/diag_scripts/aerosols/aod_aeronet_assess.py @@ -0,0 +1,448 @@ +"""Implement the AOD climatology metric from ground-based + AeroNet observations. +""" +import logging +import os + +import iris +import iris.plot as iplt +import matplotlib.cm as mpl_cm +import matplotlib.lines as mlines +import matplotlib.pyplot as plt +import numpy as np +import scipy +from aero_utils import add_bounds, extract_pt +from matplotlib import colors, gridspec +from numpy import ma + +from esmvaltool.diag_scripts.shared import group_metadata, run_diagnostic +from esmvaltool.diag_scripts.shared._base import get_plot_filename + +logger = logging.getLogger(os.path.basename(__file__)) +fontsizedict = {"title": 25, "axis": 20, "legend": 18, "ticklabel": 18} + + +def get_provenance_record(filenames): + """Return a provenance record describing the metric. + + Parameters + ---------- + filenames : List of strings + The filenames containing the data used to create the metric. + + Returns + ------- + dictionary + The provenance record describing the metric. + """ + record = { + "ancestors": filenames, + } + + return record + + +def plot_aod_mod_obs(md_data, obs_data, aeronet_obs_cube, plot_dict): + """Plot AOD contour overlaid with Aeronet climatology. + + Parameters + ---------- + md_data : Iris cube + Model AOD as a cube with latitude and longitude coordinates. + obs_data : List. + Observations of AOD from each AeroNET station. + aeronet_obs_cube : Iris cube. + Holds information about Aeronet measurement stations including + station names, station latitude and station longitude. + plot_dict : Dictionary. + Holds plotting settings. + """ + # Plot model data + cf_plot = iplt.contourf(md_data, + plot_dict["Levels"], + colors=plot_dict["Colours"], + extend="max") + + # Latitude and longitude of stations. + anet_aod_lats = aeronet_obs_cube.coord("latitude").points + anet_aod_lons = ((aeronet_obs_cube.coord("longitude").points + 180) % 360 - + 180) + + # Loop over stations + for istn, stn_data in enumerate(obs_data): + if ma.is_masked(stn_data): + continue + + # Find position of the observed AOD on the colorscale. + # np.searchsorted returns index at which inserting new value will + # maintain a sorted array. We use the color to the left of index. + cid = np.searchsorted(plot_dict["Levels"], stn_data) + cid = max(0, cid - 1) # filter out zero and max when seeking 'left' + cid = min(len(plot_dict["Colours"]) - 1, cid) + pcol = plot_dict["Colours"][cid] + + # Overlay contourf with observations + plt.plot( + anet_aod_lons[istn], + anet_aod_lats[istn], + color=pcol, + marker="o", + markeredgecolor="k", + markeredgewidth=2, + markersize=9, + ) + + # Decorate the plot + plt.title(plot_dict["Title"], size=24) + colbar = plt.colorbar(cf_plot, orientation="horizontal") + colbar.set_ticks(plot_dict["Levels"]) + colbar.set_ticklabels(plot_dict["tick_labels"]) + plt.gca().coastlines(color="#525252") + + # Statistics on plot + plt.figtext( + 0.12, + 0.27, + (f'''Global mean AOD={plot_dict["Mean_aod"]:.3f}; RMSE=''' + f'''{plot_dict["RMS_aod"]:.3f}; Stn mean: md=''' + f'''{plot_dict["Stn_mn_md"]:.3f}; obs=''' + f'''{plot_dict["Stn_mn_obs"]:.3f}'''), + size=16, + ) + + +def aod_analyse(model_data, aeronet_obs_cube, clim_seas, wavel): + """Evaluates AOD vs Aeronet, generates plots and returns evaluation + metrics. + + Parameters + ---------- + model_data : Iris Cube. + Contains model output of AOD with coordinates; time, latitude and + longitude. + aeronet_obs_cube : Iris Cube. + Contains information about Aeronet measurement stations including + station names, station latitude and station longitude. + clim_seas : List. + Strings to denote climate seasons ["DJF", "MAM", "JJA", "SON"] + wavel : String. + AOD wavelength, default = 440nm - translates to pseudo-level. + + Returns + ------- + figures : List. + Contains figure instances for the seasonal contour plots overlaid with + observations of AOD from AeroNET. + fig_scatter : Figure object. + The scatter plot comparing modelled and observed AOD at 440nm. + """ + # Convert wave length nm -> um + wv_mi = str(float(wavel) / 1000.0) + + # Get model run id + if "parent_source_id" in model_data.attributes: + model_id = model_data.attributes["parent_source_id"] + else: + model_id = "Multi-Model-Mean" + + # Add bounds for lat and lon if not present + model_data = add_bounds(model_data) + + # Co-locate model grid points with measurement sites --func from aero_utils + anet_aod_lats = aeronet_obs_cube.coord("latitude").points.tolist() + anet_aod_lons = aeronet_obs_cube.coord("longitude").points.tolist() + aod_at_anet = extract_pt(model_data, anet_aod_lats, anet_aod_lons) + + # Set up seasonal contour plots + figures = [] + + clevs = [0.0, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5, 2.0] + clabs = [ + "0.0", "", "0.1", "", "0.2", "", "0.3", "", "0.4", "", "0.5", "2.0" + ] + cmapr = mpl_cm.get_cmap("brewer_Spectral_11") + cmap = colors.ListedColormap(cmapr(range(cmapr.N))[-1::-1]) + colours = cmap.colors + + # Set up the figure for scatter plotting + fig_scatter = plt.figure(figsize=(10, 10)) + gs_scatter = gridspec.GridSpec(ncols=1, nrows=1) + ax_scatter = fig_scatter.add_subplot(gs_scatter[0, 0]) + col_scatter = ["#081d58", "#41ab5d", "#fe9929", "#7f0000"] + leg_scatter = [] + + # Loop over seasons + for season in aeronet_obs_cube.slices_over("clim_season"): + + # Match Aeronet obs season with model season number + model_sn = [c.lower() for c in clim_seas + ].index(season.coord("clim_season").points[0]) + model_season = model_data[model_sn] + + logger.info('Analysing AOD for %s: %s', {model_id}, + {clim_seas[model_sn]}) + + # Generate statistics required - area-weighted mean + grid_areas = iris.analysis.cartography.area_weights(model_season) + global_mean = model_season.collapsed( + ["latitude", "longitude"], + iris.analysis.MEAN, + weights=grid_areas, + ) + + # Extract model and obs data for season number (model_sn) + seas_anet_obs = season.data + seas_anet_md = np.array([x[model_sn] for x in aod_at_anet]) + + # Match model data with valid obs data + valid_indices = ma.where(seas_anet_obs) + valid_obs = seas_anet_obs[valid_indices] + valid_md = seas_anet_md[valid_indices] + + # Model - obs statistics (diff, model mean and RMS, r2) + diff = valid_md - valid_obs + stn_mn_obs = np.mean(valid_obs) + stn_mn_md = np.mean(valid_md) + rms_aod = np.sqrt(np.mean(diff**2)) + linreg = scipy.stats.linregress(valid_obs, valid_md) + + # Plot scatter of co-located model and obs data + ax_scatter.scatter(valid_obs, valid_md, color=col_scatter[model_sn]) + + # Legend + label = f"{clim_seas[model_sn]} = {linreg.rvalue**2:.2f}" + leg_scatter.append( + mlines.Line2D( + [0], + [0], + marker="o", + color="w", + label=label, + markersize=15, + markerfacecolor=col_scatter[model_sn], + )) + + # Plot contours overlaid with obs for this run and season + fig_cf = plt.figure(figsize=(11, 8), dpi=300) + + n_stn = str(len(valid_obs)) + title = ("\nTotal Aerosol Optical Depth at " + wv_mi + " microns" + + "\n" + model_id + ", " + clim_seas[model_sn] + + ", N stations=" + n_stn) + + # Plot dictionary + plot_dict = { + "Mean_aod": global_mean.data, + "Stn_mn_obs": stn_mn_obs, + "Stn_mn_md": stn_mn_md, + "RMS_aod": rms_aod, + "Levels": clevs, + "Colours": colours, + "tick_labels": clabs, + "Title": title, + "Season": clim_seas[model_sn], + } + plot_aod_mod_obs(model_season, seas_anet_obs, aeronet_obs_cube, + plot_dict) + + figures.append(fig_cf) + + # Decorate the scatter plot + line = mlines.Line2D([0, 1], [0, 1], color="#696969") + transform = ax_scatter.transAxes + line.set_transform(transform) + ax_scatter.add_line(line) + + ax_scatter.set( + xlim=(0, 1), + xticks=np.linspace(0.0, 1.0, num=6), + ylim=(0, 1), + yticks=np.linspace(0.0, 1.0, num=6), + ) + ax_scatter.set_xlabel("AeroNET AOD", fontsize=fontsizedict["axis"]) + ax_scatter.set_ylabel(model_id + " AOD", fontsize=fontsizedict["axis"]) + + ax_scatter.tick_params(axis="both", + which="major", + labelsize=fontsizedict["ticklabel"]) + + ax_scatter.set_title( + "Model vs obs: Total Aerosol Optical Depth \n at " + wv_mi + + " microns", + fontsize=fontsizedict["title"], + ) + + ax_scatter.legend( + handles=leg_scatter, + loc="lower right", + title="Seasonal R2", + title_fontsize=fontsizedict["legend"], + fontsize=fontsizedict["legend"], + ) + + return figures, fig_scatter + + +def preprocess_aod_obs_dataset(obs_dataset): + """Calculate a multiannual seasonal mean AOD climatology. + + Observational AOD timeseries data from AeroNET are used to generate a + multiannual seasonal mean climatology for each AeroNET station. The + user sets thresholds (or uses the default settings) to specify the + amount of valid data required for the climatology. At this stage + ESMValTool preprocessors are unsuitable for pre-processing the AeroNET + AOD observations because of the bespoke nature and application of the + filtering thresholds. + + Parameters + ---------- + obs_dataset : ESMValTool dictionary. Holds meta data for the observational + AOD dataset. + + Returns + ------- + multiannual_seaonal_mean : Iris cube. Preprocessed observational + AOD climatology. + """ + obs_cube = iris.load_cube(obs_dataset[0]["filename"]) + + # Set up thresholds for generating the multi annual seasonal mean + min_days_per_mon = 1 + min_mon_per_seas = 3 + min_seas_per_year = 4 + min_seas_per_clim = 5 + + # Add the clim_season and season_year coordinates. + iris.coord_categorisation.add_year(obs_cube, 'time', name='year') + + iris.coord_categorisation.add_season(obs_cube, 'time', name='clim_season') + + iris.coord_categorisation.add_season_year(obs_cube, + 'time', + name='season_year') + + # Copy obs cube and mask all months with fewer + # "Number of days" than given threshold. + num_days_var = obs_cube.ancillary_variable("Number of days") + masked_months_obs_cube = obs_cube.copy(data=ma.masked_where( + num_days_var.data < min_days_per_mon, obs_cube.data)) + + # Aggregate (mean) by season. + # The number of unmasked months per season is counted, + # and where there are fewer unmasked months than the + # given threshold, the computed mean is masked. + annual_seasonal_mean = masked_months_obs_cube.aggregated_by( + ['clim_season', 'season_year'], + iris.analysis.MEAN, + ) + annual_seasonal_count = masked_months_obs_cube.aggregated_by( + ['clim_season', 'season_year'], + iris.analysis.COUNT, + function=lambda values: ~ma.getmask(values), + ) + annual_seasonal_mean.data = ma.masked_where( + annual_seasonal_count.data < min_mon_per_seas, + annual_seasonal_mean.data, + ) + + # Aggregate (mean) by multi-annual season. + # The number of unmasked seasons per multi-annual season + # is counted, and where there are fewer unmasked seasons + # than the given threshold, the computed multi-annual + # season is masked. + multi_annual_seasonal_mean = annual_seasonal_mean.aggregated_by( + 'clim_season', + iris.analysis.MEAN, + ) + clim_season_agg_count = annual_seasonal_mean.aggregated_by( + 'clim_season', + iris.analysis.COUNT, + function=lambda values: ~ma.getmask(values), + ) + multi_annual_seasonal_mean.data = ma.masked_where( + clim_season_agg_count.data < min_seas_per_clim, + multi_annual_seasonal_mean.data, + ) + year_agg_count = multi_annual_seasonal_mean.aggregated_by( + 'year', + iris.analysis.COUNT, + function=lambda values: ~ma.getmask(values), + ) + + counter = range(len( + multi_annual_seasonal_mean.coord('clim_season').points)) + for iseas in counter: + multi_annual_seasonal_mean.data[iseas, :] = ma.masked_where( + year_agg_count.data[0, :] < min_seas_per_year, + multi_annual_seasonal_mean.data[iseas, :], + ) + + return multi_annual_seasonal_mean + + +def main(config): + """Produce the AOD climatology metric from ground-based AeroNet + observations. + + Parameters + ---------- + wavel : String. + User defined. Default is "440". + config : dict + The ESMValTool configuration. + """ + input_data = config["input_data"] + datasets = group_metadata(input_data.values(), "dataset") + + # Default wavelength + wavel = "440" + + # Produce climatology for observational dataset + obs_dataset = datasets.pop(config["observational_dataset"]) + obs_cube = preprocess_aod_obs_dataset(obs_dataset) + + for model_dataset, group in datasets.items(): + # 'model_dataset' is the name of the model dataset. + # 'group' is a list of dictionaries containing metadata. + logger.info("Processing data for %s", model_dataset) + logger.info(group) + + for attributes in group: + logger.info(attributes["filename"]) + + input_file = attributes["filename"] + provenance_record = get_provenance_record(input_file) + logger.info(provenance_record) + cube = iris.load_cube(input_file) + + # Set up for analysis and plotting + seasons = ["DJF", "MAM", "JJA", "SON"] + + plot_file_prefix = (model_dataset + "_" + attributes["activity"] + + "_" + attributes["mip"] + "_" + + attributes["exp"] + "_" + + attributes["short_name"] + "_" + + str(attributes["start_year"]) + "_" + + str(attributes["end_year"]) + "_") + + # Analysis and plotting for model-obs comparison + figures, fig_scatter = aod_analyse(cube, + obs_cube, + seasons, + wavel=wavel) + + # Save the scatter plot + output_file = plot_file_prefix + "scatter" + output_path = get_plot_filename(output_file, config) + fig_scatter.savefig(output_path) + + # Save the contour plots + for ifig, seas_fig in enumerate(figures): + output_file = plot_file_prefix + seasons[ifig] + output_path = get_plot_filename(output_file, config) + seas_fig.savefig(output_path) + + +if __name__ == "__main__": + with run_diagnostic() as CONFIG: + main(CONFIG) diff --git a/esmvaltool/recipes/recipe_aod_aeronet_assess.yml b/esmvaltool/recipes/recipe_aod_aeronet_assess.yml new file mode 100644 index 0000000000..0fc82ec864 --- /dev/null +++ b/esmvaltool/recipes/recipe_aod_aeronet_assess.yml @@ -0,0 +1,65 @@ +# ESMValTool +# recipe_aod_aeronet_assess.yml +--- +documentation: + description: | + Recipe to plot seasonal maps of global aerosol optical depth (AOD) at 440nm. + + title: Recipe that runs an AOD diagnostic + + authors: + - hogan_emma + - lillis_jon + - hardacre_catherine + + maintainer: + - hogan_emma + - lillis_jon + - hardacre_catherine + + projects: + - esmval + +preprocessors: + ma_season_mean: + regrid: + target_grid: 2.5x2.5 + scheme: nearest + climate_statistics: + operator: mean + period: season + seasons: ['DJF', 'MAM', 'JJA', 'SON'] + multi_model_statistics: + span: overlap + statistics: [mean] + +diagnostics: + od440aer_climatologies: + description: Visualise spatial multi-annual seasonal means AOD at 440nm. + variables: + + od440aer: &var_od440aer + mip: AERmon + short_name: od440aer + start_year: 1994 + end_year: 2014 + additional_datasets: + - {dataset: AERONET, project: OBS6, mip: AERmon, tier: 3, type: atmos, version: 20231021} + + od440aer_season: + <<: *var_od440aer + preprocessor: ma_season_mean + additional_datasets: + - {dataset: UKESM1-0-LL, project: CMIP6, mip: AERmon, exp: historical, ensemble: r1i1p1f2, grid: gn} + - {dataset: HadGEM3-GC31-LL, project: CMIP6, mip: AERmon, exp: historical, ensemble: r1i1p1f3, grid: gn} + - {dataset: EC-Earth3-AerChem, project: CMIP6, mip: AERmon, exp: historical, ensemble: r1i1p1f1, grid: gn} +# - {dataset: NorESM2-LM, project: CMIP6, mip: AERmon, exp: historical, ensemble: r1i1p1f1, grid: gn} + - {dataset: GFDL-ESM4, project: CMIP6, mip: AERmon, exp: historical, ensemble: r1i1p1f1, grid: gr1} + - {dataset: MPI-ESM-1-2-HAM, project: CMIP6, mip: AERmon, exp: historical, ensemble: r1i1p1f1, grid: gn} + + scripts: + aeronet: + script: aerosols/aod_aeronet_assess.py + observational_dataset: AERONET + quickplot: + plot_type: plot From 200a8d633b2ee77ee050c68a59bcec02d4731c65 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Fri, 12 Apr 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b8a7b364d141c404a49cae33e7aeabb5fbf7cc36 Mon Sep 17 00:00:00 2001 From: Emma Hogan Date: Mon, 15 Apr 2024 09:43:41 +0100 Subject: [PATCH 07/21] Update the release schedule for v2.11.0 (#3573) --- .../release_strategy/release_strategy.rst | 17 +++++++++++++++-- 1 file changed, 15 insertions(+), 2 deletions(-) diff --git a/doc/sphinx/source/community/release_strategy/release_strategy.rst b/doc/sphinx/source/community/release_strategy/release_strategy.rst index b358fdb7f3..cae1c43807 100644 --- a/doc/sphinx/source/community/release_strategy/release_strategy.rst +++ b/doc/sphinx/source/community/release_strategy/release_strategy.rst @@ -54,9 +54,19 @@ With the following release schedule, we strive to have three releases per year a Upcoming releases ^^^^^^^^^^^^^^^^^ -- 2.11.0 (Release Manager: TBD) +- 2.11.0 (Release Manager: Met Office: `Emma Hogan`_, `Chris Billows`_, `Ed Gillett`_) -Planned for February or March 2024 ++------------+------------+----------------------------------------+-------------------------------------+ +| Planned | Done | Event | Changelog | ++============+============+========================================+=====================================+ +| 2024-04-22 | | ESMValCore `Feature Freeze`_ | | ++------------+------------+----------------------------------------+-------------------------------------+ +| 2023-05-03 | | ESMValCore released | | ++------------+------------+----------------------------------------+-------------------------------------+ +| 2023-05-06 | | ESMValTool `Feature Freeze`_ | | ++------------+------------+----------------------------------------+-------------------------------------+ +| 2023-05-17 | | ESMValTool released | | ++------------+------------+----------------------------------------+-------------------------------------+ Past releases ^^^^^^^^^^^^^ @@ -647,3 +657,6 @@ Changelog .. _Manuel Schlund: https://github.com/schlunma .. _Javier Vegas-Regidor: https://github.com/jvegasbsc .. _Klaus Zimmermann: https://github.com/zklaus +.. _Emma Hogan: https://github.com/ehogan +.. _Chris Billows: https://github.com/chrisbillowsMO +.. _Ed Gillett: https://github.com/mo-gill From 4db39293ea735899543f3280c1fed44aa968b6ab Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 22 Apr 2024 13:46:08 +0100 Subject: [PATCH 08/21] [Condalock] Update Linux condalock file (#3575) Co-authored-by: valeriupredoi --- conda-linux-64.lock | 78 ++++++++++++++++++++++----------------------- 1 file changed, 39 insertions(+), 39 deletions(-) diff --git a/conda-linux-64.lock b/conda-linux-64.lock index d8ff710dcc..19eda6ce31 100644 --- a/conda-linux-64.lock +++ b/conda-linux-64.lock @@ -12,7 +12,7 @@ https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed3 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https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.9.0-pyhd8ed1ab_0.conda#33070a578d45591f242a254f78f86f10 https://conda.anaconda.org/conda-forge/noarch/cmocean-4.0.3-pyhd8ed1ab_0.conda#53df00540de0348ed1b2a62684dd912b https://conda.anaconda.org/conda-forge/noarch/dask-jobqueue-0.8.5-pyhd8ed1ab_0.conda#abfb434fb6654f83d740428863ec85a8 @@ -503,10 +503,10 @@ https://conda.anaconda.org/conda-forge/linux-64/magics-4.14.2-haee2765_1.conda#0 https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda#15b51397e0fe8ea7d7da60d83eb76ebc https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369 https://conda.anaconda.org/conda-forge/linux-64/ncl-6.6.2-he3b17a9_50.conda#a37fcb5a2da31cfebe6734b0fda20bd5 -https://conda.anaconda.org/conda-forge/linux-64/nco-5.2.3-he646072_0.conda#6125750c4e5e3733f725d8aef1408d7c 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https://conda.anaconda.org/conda-forge/linux-64/r-spam-2.10_0-r43h9f9f741_0.conda#b1f50ff35422ee8bc5e3d6c0565b3e62 @@ -609,8 +609,8 @@ https://conda.anaconda.org/conda-forge/linux-64/r-wk-0.9.1-r43ha503ecb_0.conda#4 https://conda.anaconda.org/conda-forge/linux-64/r-xml2-1.3.6-r43hbfba7a4_1.conda#545f26a602ff99102e7fd70f425ead32 https://conda.anaconda.org/conda-forge/linux-64/r-zoo-1.8_12-r43h57805ef_1.conda#5e4c7ad3824c359f05601463ec7ba9c5 https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_0.conda#fd31ebf5867914de597f9961c478e482 -https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.4-pyhd8ed1ab_1.conda#9fff981af43f3226bac0c91e9bf67f2e -https://conda.anaconda.org/conda-forge/noarch/xgboost-2.0.3-cuda118_pyh7984362_3.conda#b5628bd802e85f4a02e50f7684117348 +https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.5-pyhd8ed1ab_0.conda#0f74ff434e03fa89315ec45ec1bc4284 +https://conda.anaconda.org/conda-forge/noarch/xgboost-2.0.3-cuda120_pyh68bd8d9_4.conda#aaaadc3a408067943ebc10299393a7c3 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 https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.3-hd8ed1ab_1.conda#105151637d2223d6274c5c79d839cc64 @@ -649,11 +649,11 @@ https://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.3-r43hc72bb7e_ https://conda.anaconda.org/conda-forge/noarch/r-lintr-3.1.2-r43hc72bb7e_0.conda#d2b855cb2d8c0c5c870fe61d0f7e0d0c https://conda.anaconda.org/conda-forge/linux-64/r-sf-1.0_14-r43h85a8d9e_1.conda#a2ea960cebc252c3e10c5fb9fb4dfefc https://conda.anaconda.org/conda-forge/linux-64/r-tibble-3.2.1-r43h57805ef_2.conda#afa7d3f21fbc5a2fbaa48cb9bacb7bce -https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.0.11-pyhd8ed1ab_0.conda#5c6bc104095ed12db6b1be04181e9afa +https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.0.12-pyhd8ed1ab_0.conda#2480fde61a52e5a2f73fb73553b317ab https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_0.conda#ccc06e6ef2064ae129fab3286299abda https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.0-r43hc72bb7e_0.conda#f5fc39155735cfc3c0c680620301dfa8 https://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r43hc72bb7e_3.conda#d1f849bc6b24f93c392f4177f65578b4 -https://conda.anaconda.org/conda-forge/noarch/dask-2024.4.1-pyhd8ed1ab_0.conda#1afbed2c3ca32ee7c7acd9939460ddd3 +https://conda.anaconda.org/conda-forge/noarch/dask-2024.4.2-pyhd8ed1ab_0.conda#a0e5045f4fae04acbe70f4c821d65302 https://conda.anaconda.org/conda-forge/noarch/r-styler-1.10.3-r43hc72bb7e_0.conda#de41a01071ff652806dd79cd7ddaf239 https://conda.anaconda.org/conda-forge/linux-64/r-tlmoments-0.7.5.3-r43ha503ecb_1.conda#cc23eacc44f680ecc36222de5a1c6694 https://conda.anaconda.org/conda-forge/noarch/r-viridis-0.6.5-r43hc72bb7e_0.conda#327e96357f5ba37795f2e292e29091c7 @@ -670,5 +670,5 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-1.0.8-pyhd https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-1.0.6-pyhd8ed1ab_0.conda#d7e4954df0d3aea2eacc7835ad12671d https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.0.5-pyhd8ed1ab_0.conda#7e1e7437273682ada2ed5e9e9714b140 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-1.0.7-pyhd8ed1ab_0.conda#26acae54b06f178681bfb551760f5dd1 -https://conda.anaconda.org/conda-forge/noarch/sphinx-7.2.6-pyhd8ed1ab_0.conda#bbfd1120d1824d2d073bc65935f0e4c0 +https://conda.anaconda.org/conda-forge/noarch/sphinx-7.3.7-pyhd8ed1ab_0.conda#7b1465205e28d75d2c0e1a868ee00a67 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e From 696097c36a2c59554ee9ce404b4b768b6e17589b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Joakim=20L=C3=B6w?= <127192942+ljoakim@users.noreply.github.com> Date: Wed, 24 Apr 2024 14:22:54 +0200 Subject: [PATCH 09/21] Adding pys2index dependency (#3577) --- environment.yml | 1 + environment_osx.yml | 1 + setup.py | 1 + 3 files changed, 3 insertions(+) diff --git a/environment.yml b/environment.yml index 7e701affaa..f61304d5f8 100644 --- a/environment.yml +++ b/environment.yml @@ -49,6 +49,7 @@ dependencies: - psy-reg - psy-simple - pyproj >=2.1 + - pys2index # only from conda-forge - python >=3.9 - python-cdo - python-dateutil diff --git a/environment_osx.yml b/environment_osx.yml index 1752608984..7287c76c92 100644 --- a/environment_osx.yml +++ b/environment_osx.yml @@ -49,6 +49,7 @@ dependencies: - psy-reg - psy-simple - pyproj>=2.1 + - pys2index # only from conda-forge - python >=3.9 - python-cdo - python-dateutil diff --git a/setup.py b/setup.py index 5c992b76d0..c86dc4118e 100755 --- a/setup.py +++ b/setup.py @@ -56,6 +56,7 @@ 'psy-reg', 'psy-simple', 'pyproj>=2.1', + # 'pys2index', # issues installing from PyPI (wheel doesn't build) 'python-dateutil', 'pyyaml', 'rasterio', From cf6bf35fe64927b20cd6b3e58a610a410b418621 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Wed, 1 May 2024 12:55:47 +0100 Subject: [PATCH 10/21] [Condalock] Update Linux condalock file (#3582) Co-authored-by: valeriupredoi --- conda-linux-64.lock | 91 ++++++++++++++++++++++++--------------------- 1 file changed, 48 insertions(+), 43 deletions(-) diff --git a/conda-linux-64.lock b/conda-linux-64.lock index 19eda6ce31..d975ed7293 100644 --- a/conda-linux-64.lock +++ b/conda-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 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https://conda.anaconda.org/conda-forge/noarch/r-lintr-3.1.2-r43hc72bb7e_0.conda#d2b855cb2d8c0c5c870fe61d0f7e0d0c https://conda.anaconda.org/conda-forge/linux-64/r-sf-1.0_14-r43h85a8d9e_1.conda#a2ea960cebc252c3e10c5fb9fb4dfefc https://conda.anaconda.org/conda-forge/linux-64/r-tibble-3.2.1-r43h57805ef_2.conda#afa7d3f21fbc5a2fbaa48cb9bacb7bce -https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.0.12-pyhd8ed1ab_0.conda#2480fde61a52e5a2f73fb73553b317ab +https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.0.14-pyhd8ed1ab_0.conda#ffb3f91ee46d83150cfff265635a668b https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_0.conda#ccc06e6ef2064ae129fab3286299abda -https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.0-r43hc72bb7e_0.conda#f5fc39155735cfc3c0c680620301dfa8 +https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.1-r43hc72bb7e_0.conda#efb6b27dba202d74e5f182faae28794a https://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r43hc72bb7e_3.conda#d1f849bc6b24f93c392f4177f65578b4 https://conda.anaconda.org/conda-forge/noarch/dask-2024.4.2-pyhd8ed1ab_0.conda#a0e5045f4fae04acbe70f4c821d65302 https://conda.anaconda.org/conda-forge/noarch/r-styler-1.10.3-r43hc72bb7e_0.conda#de41a01071ff652806dd79cd7ddaf239 From 85e24b5353e4bd8424d35e1af62e4e52506bef1a Mon Sep 17 00:00:00 2001 From: Valeriu Predoi Date: Fri, 3 May 2024 15:40:43 +0100 Subject: [PATCH 11/21] [Github Actions] install git in OSX and add environment inspection (#3581) Co-authored-by: Manuel Schlund <32543114+schlunma@users.noreply.github.com> --- .github/workflows/run-tests-monitor.yml | 6 ++++++ .github/workflows/test.yml | 14 ++++++++++++++ 2 files changed, 20 insertions(+) diff --git a/.github/workflows/run-tests-monitor.yml b/.github/workflows/run-tests-monitor.yml index 1efe54a66a..c381bfca9e 100644 --- a/.github/workflows/run-tests-monitor.yml +++ b/.github/workflows/run-tests-monitor.yml @@ -42,6 +42,8 @@ jobs: run: | mamba --version 2>&1 | tee test_linux_artifacts_python_${{ matrix.python-version }}/conda_version.txt python -V 2>&1 | tee test_linux_artifacts_python_${{ matrix.python-version }}/python_version.txt + - name: Inspect environment + run: conda list - name: Install pytest-monitor run: pip install pytest-monitor - name: Install ESMValTool @@ -87,6 +89,10 @@ jobs: run: | mamba --version 2>&1 | tee test_osx_artifacts_python_${{ matrix.python-version }}/conda_version.txt python -V 2>&1 | tee test_osx_artifacts_python_${{ matrix.python-version }}/python_version.txt + - name: Inspect environment + run: conda list + - name: Install git + run: mamba install -c conda-forge git - name: Install pytest-monitor run: pip install pytest-monitor - name: Install ESMValTool diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 4e2698454f..8291bc6914 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -41,6 +41,8 @@ jobs: python -V 2>&1 | tee test_linux_artifacts_python_${{ matrix.python-version }}/python_version.txt # this is how to export variables to the GITHUB var environment echo "pver0=$(python -V)" >> $GITHUB_ENV + - name: Inspect environment + run: conda list - name: Install ESMValTool run: pip install -e .[develop] 2>&1 | tee test_linux_artifacts_python_${{ matrix.python-version }}/install.txt - name: Install Julia dependencies @@ -53,6 +55,8 @@ jobs: echo "Python minor version changed after Julia install" python -V exit 1 + - name: Inspect environment + run: conda list - name: Run flake8 run: flake8 - name: Run tests @@ -90,8 +94,18 @@ jobs: run: | mamba --version 2>&1 | tee test_osx_artifacts_python_${{ matrix.python-version }}/conda_version.txt python -V 2>&1 | tee test_osx_artifacts_python_${{ matrix.python-version }}/python_version.txt + - name: Inspect environment + run: conda list + - name: Determine if git + run: | + which git + git --version + - name: Install git + run: mamba install -c conda-forge git - name: Install ESMValTool run: pip install -e .[develop] 2>&1 | tee test_osx_artifacts_python_${{ matrix.python-version }}/install.txt + - name: Inspect environment + run: conda list - name: Run flake8 run: flake8 - name: Run tests From cb582bd0100da6475aca24202da11c043a0aea38 Mon Sep 17 00:00:00 2001 From: Felicity Chun <32269066+flicj191@users.noreply.github.com> Date: Fri, 10 May 2024 07:13:53 +1000 Subject: [PATCH 12/21] CMORiser for ANU Climate 2.0 Australian data (#3511) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Axel Lauer Co-authored-by: Manuel Schlund <32543114+schlunma@users.noreply.github.com> Co-authored-by: Bouwe Andela Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: valeriupredoi Co-authored-by: Valeriu Predoi Co-authored-by: Björn Brötz Co-authored-by: rbeucher Co-authored-by: Lisa Bock Co-authored-by: Klaus Zimmermann --- doc/sphinx/source/input.rst | 2 + .../cmorizers/data/cmor_config/ANUClimate.yml | 32 +++++ esmvaltool/cmorizers/data/datasets.yml | 11 ++ .../data/formatters/datasets/anuclimate.py | 125 ++++++++++++++++++ .../recipes/examples/recipe_check_obs.yml | 11 ++ esmvaltool/references/anuclimate2.bibtex | 11 ++ 6 files changed, 192 insertions(+) create mode 100644 esmvaltool/cmorizers/data/cmor_config/ANUClimate.yml create mode 100644 esmvaltool/cmorizers/data/formatters/datasets/anuclimate.py create mode 100644 esmvaltool/references/anuclimate2.bibtex diff --git a/doc/sphinx/source/input.rst b/doc/sphinx/source/input.rst index a72bce73aa..481cd066a7 100644 --- a/doc/sphinx/source/input.rst +++ b/doc/sphinx/source/input.rst @@ -234,6 +234,8 @@ A list of the datasets for which a CMORizers is available is provided in the fol +==============================+======================================================================================================+======+=================+ | AGCD | pr (Amon) | 2 | Python | +------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+ +| ANU Climate | pr, tas, tasmin, tasmax (Amon) | 3 | Python | ++------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+ | APHRO-MA | pr, tas (day), pr, tas (Amon) | 3 | Python | +------------------------------+------------------------------------------------------------------------------------------------------+------+-----------------+ | AURA-TES | tro3 (Amon) | 3 | NCL | diff --git a/esmvaltool/cmorizers/data/cmor_config/ANUClimate.yml b/esmvaltool/cmorizers/data/cmor_config/ANUClimate.yml new file mode 100644 index 0000000000..3b5ce35b31 --- /dev/null +++ b/esmvaltool/cmorizers/data/cmor_config/ANUClimate.yml @@ -0,0 +1,32 @@ +--- +filename: 'ANUClimate_{version}_{raw}_{freq}_.*.nc' #yyyymm + +attributes: + project_id: OBS6 + dataset_id: ANUClimate + version: 'v2-0' + tier: 3 + modeling_realm: reanaly + # resolution: '0.01 degree' + source: 'https://dx.doi.org/10.25914/60a10aa56dd1b' + reference: 'anuclimate2' + comment: 'hosted on NCI' + +variables: + pr: + mip: Amon + freq: monthly # daily available + raw: rain + + tasmax: + mip: Amon + freq: monthly + raw: tmax + tasmin: + mip: Amon + freq: monthly + raw: tmin + tas: + mip: Amon + freq: monthly + raw: tavg diff --git a/esmvaltool/cmorizers/data/datasets.yml b/esmvaltool/cmorizers/data/datasets.yml index 757fce7d67..47632da653 100644 --- a/esmvaltool/cmorizers/data/datasets.yml +++ b/esmvaltool/cmorizers/data/datasets.yml @@ -19,6 +19,17 @@ datasets: Data from NCI (National Computing Infrastructure Australia https://nci.org.au/), requires an NCI account and access to Gadi(Supercomputer in Canberra) and the project found in catalogue record. Access can be requested through NCI. NCI is an ESGF node (https://esgf.nci.org.au/projects/esgf-nci/) + + ANUClimate: + tier: 3 + source: "https://dx.doi.org/10.25914/60a10aa56dd1b" + last_access: 2023-11-21 + info: | + Data from NCI project requiring an NCI account and access to GADI + + ANUClimate 2.0 consists of gridded daily and monthly climate variables across the terrestrial landmass of Australia + from at least 1970 to the present. Rainfall grids are generated from 1900 to the present. The underpinning spatial + models have been developed at the Fenner School of Environment and Society of the Australian National University. APHRO-MA: tier: 3 diff --git a/esmvaltool/cmorizers/data/formatters/datasets/anuclimate.py b/esmvaltool/cmorizers/data/formatters/datasets/anuclimate.py new file mode 100644 index 0000000000..0077bd17a4 --- /dev/null +++ b/esmvaltool/cmorizers/data/formatters/datasets/anuclimate.py @@ -0,0 +1,125 @@ +"""ESMValTool CMORizer for ANU Climate data. + +Tier + Tier 3: restricted dataset. + +Source + https://dx.doi.org/10.25914/60a10aa56dd1b + +Last access + 20231121 + +Download and processing instructions + Data from NCI project requiring an NCI account and access to GADI + Processing is done on GADI + +""" +import logging +import os +import re +import calendar + +import iris + +from esmvaltool.cmorizers.data import utilities as utils + +logger = logging.getLogger(__name__) + + +def _get_filepaths(in_dir, basename): + """Find correct name of file (extend basename with timestamp).""" + regex = re.compile(basename) + return_files = [] + # Search sub folders of raw data directory + for root, _dir, files in os.walk(in_dir, followlinks=True): + + for filename in files: + if regex.match(filename): + + return_files.append(os.path.join(root, filename)) + + return return_files + + +def fix_data_var(cube, var): + """Convert units in cube for the variable.""" + # get month, year from cube + tcoord = cube.coord('time') + tdate = tcoord.units.num2date(tcoord.points[0]) + no_ofdays = calendar.monthrange(tdate.year, tdate.month)[1] + + if var == 'pr': + + cube = cube / (no_ofdays * 86400) # days in month + cube.units = 'kg m-2 s-1' + + elif var in ['tas', 'tasmin', 'tasmax']: # other variables in v1 + cube = cube + 273.15 + cube.units = 'K' + utils.add_height2m(cube) + + else: + logger.info("Variable %s not converted", var) + + return cube, tdate.year + + +def _extract_variable(cmor_info, attrs, filepaths, out_dir): + """Extract variable.""" + var = cmor_info.short_name + logger.info("Var is %s", var) + cbls_2 = iris.cube.CubeList() + cbls_1 = iris.cube.CubeList() + for filepath in filepaths: + cubes = iris.load(filepath) + + cube, year = fix_data_var(cubes[0], var) + + utils.fix_var_metadata(cube, cmor_info) + + utils.set_global_atts(cube, attrs) + + if year < 2000: # split for cube save + cbls_1.append(cube) + else: + cbls_2.append(cube) + + for cbls in [cbls_1, cbls_2]: + iris.util.equalise_attributes(cbls) + cubesave = cbls.concatenate_cube() + utils.fix_coords(cubesave) + + logger.info("Saving file") + utils.save_variable(cubesave, + var, + out_dir, + attrs, + unlimited_dimensions=['time']) + + +def cmorization(in_dir, out_dir, cfg, cfg_user, start_date, end_date): + """Cmorization func call.""" + glob_attrs = cfg['attributes'] + cmor_table = cfg['cmor_table'] + + ver = cfg['attributes']['version'] + logger.info(cfg, cfg_user) + + # Run the cmorization, multiple variables + for (var, var_info) in cfg['variables'].items(): + + glob_attrs['mip'] = var_info['mip'] + + raw_filename = cfg['filename'].format(version=ver, + raw=var_info['raw'], + freq=var_info['freq']) + filepaths = _get_filepaths(in_dir, raw_filename) + + if len(filepaths) == 0: + logger.info("no files for %s pattern: %s", var, raw_filename) + logger.info("directory: %s", in_dir) + else: + logger.info("Found files, count %s", len(filepaths)) + + cmor_info = cmor_table.get_variable(var_info['mip'], var) + _extract_variable(cmor_info, glob_attrs, filepaths, out_dir) diff --git a/esmvaltool/recipes/examples/recipe_check_obs.yml b/esmvaltool/recipes/examples/recipe_check_obs.yml index 70368c87dc..f92478bd9a 100644 --- a/esmvaltool/recipes/examples/recipe_check_obs.yml +++ b/esmvaltool/recipes/examples/recipe_check_obs.yml @@ -906,6 +906,17 @@ diagnostics: ### TIER 3 ################################################################## + ANUClimate: + description: ANUClimate check + variables: + pr: + tasmax: + tasmin: + tas: + additional_datasets: + - {dataset: ANUClimate, project: OBS6, mip: Amon, tier: 3, type: reanaly} + scripts: null + APHRO-MA: description: APHRO-MA check variables: diff --git a/esmvaltool/references/anuclimate2.bibtex b/esmvaltool/references/anuclimate2.bibtex new file mode 100644 index 0000000000..0c183cd181 --- /dev/null +++ b/esmvaltool/references/anuclimate2.bibtex @@ -0,0 +1,11 @@ +@misc{https://doi.org/10.25914/60a10aa56dd1b, + doi = {10.25914/60A10AA56DD1B}, + url = {https://pid.nci.org.au/doi/f2576_7854_4065_1457}, + author = {Hutchinson, Michael and Xu, Tingbao and Kesteven, Jennifer and Marang, Ian and Evans, Bradley}, + keywords = {Climatology (excl. Climate Change Processes)}, + language = {en}, + title = {ANUClimate 2.0}, + publisher = {NCI Australia}, + year = {2021}, + copyright = {Creative Commons Attribution Share Alike 4.0 International} +} From 628323454729c850338307a07a0acd521a397bc3 Mon Sep 17 00:00:00 2001 From: Romain Beucher Date: Mon, 13 May 2024 14:15:05 +1000 Subject: [PATCH 13/21] recipe_ocean_quadmap: Update ATSR to match ESGF name (#3443) Co-authored-by: Valeriu Predoi --- esmvaltool/recipes/recipe_ocean_quadmap.yml | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/esmvaltool/recipes/recipe_ocean_quadmap.yml b/esmvaltool/recipes/recipe_ocean_quadmap.yml index 4afc2c7bb5..2f20a50015 100644 --- a/esmvaltool/recipes/recipe_ocean_quadmap.yml +++ b/esmvaltool/recipes/recipe_ocean_quadmap.yml @@ -54,12 +54,10 @@ diagnostics: preprocessor: prep_quad_map mip: Omon additional_datasets: -# filename: tos_ATSR_L3_ARC-v1.1.1_199701-201112.nc -# download from: https://datashare.is.ed.ac.uk/handle/10283/536 - - {dataset: ATSR, project: obs4MIPs, level: L3, version: ARC-v1.1.1, start_year: 2001, end_year: 2003, tier: 1} + - {dataset: ARC-SST-1-1, project: obs4MIPs, level: L3, start_year: 2001, end_year: 2003, tier: 1} scripts: Global_Ocean_map: &Global_Ocean_map script: ocean/diagnostic_maps_quad.py control_model: {dataset: HadGEM2-CC, project: CMIP5, mip: Omon, exp: historical, ensemble: r1i1p1} exper_model: {dataset: HadGEM2-ES, project: CMIP5, mip: Omon, exp: historical, ensemble: r1i1p1} - observational_dataset: {dataset: ATSR, project: obs4MIPs,} + observational_dataset: {dataset: ARC-SST-1-1, project: obs4MIPs,} From c52d963c6780cdeea25cca07ed4d3935a5091af9 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 13 May 2024 12:36:56 +0100 Subject: [PATCH 14/21] [Condalock] Update Linux condalock file (#3591) Co-authored-by: valeriupredoi --- conda-linux-64.lock | 270 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https://conda.anaconda.org/conda-forge/noarch/esmvalcore-2.10.0-pyhd8ed1ab_0.con https://conda.anaconda.org/conda-forge/linux-64/r-geomap-2.5_5-r43h57805ef_0.conda#dc942c6f2062894f7baf00fc6b907a79 https://conda.anaconda.org/conda-forge/noarch/r-s2dverification-2.10.3-r43hc72bb7e_2.conda#13f4b1126272c8f195fc6ef38cc19d31 https://conda.anaconda.org/conda-forge/noarch/autodocsumm-0.2.6-pyhd8ed1ab_0.tar.bz2#4409dd7e06a62c3b2aa9e96782c49c6d -https://conda.anaconda.org/conda-forge/noarch/nbsphinx-0.9.3-pyhd8ed1ab_0.conda#0dbaa7d08d3d79b2a1a4dd6a02cc4581 +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-0.15.2-pyhd8ed1ab_0.conda#ce99859070b0e17ccc63234ca58f3ed8 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-1.0.8-pyhd8ed1ab_0.conda#611a35a27914fac3aa37611a6fe40bb5 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-1.0.6-pyhd8ed1ab_0.conda#d7e4954df0d3aea2eacc7835ad12671d From 4734caf5a0a1762f30cbfbf4bc86b2f6959fa99c Mon Sep 17 00:00:00 2001 From: Valeriu Predoi Date: Tue, 14 May 2024 15:39:35 +0100 Subject: [PATCH 15/21] Pin esmpy <8.6.0 (#3585) --- environment.yml | 4 ++-- environment_osx.yml | 4 ++-- setup.py | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/environment.yml b/environment.yml index f61304d5f8..3bda334367 100644 --- a/environment.yml +++ b/environment.yml @@ -21,7 +21,7 @@ dependencies: - distributed - ecmwf-api-client - eofs - - esmpy + - esmpy !=8.1.0,<8.6.0 # https://github.com/SciTools-incubator/iris-esmf-regrid/pull/342#issuecomment-2092921514 - esmvalcore 2.10.* - fiona - fire @@ -40,7 +40,7 @@ dependencies: - numpy !=1.24.3 # severe masking bug - openpyxl - packaging - - pandas + - pandas !=2.2.0,!=2.2.1,!=2.2.2 # github.com/ESMValGroup/ESMValCore/pull/2305 - pip !=21.3 - progressbar2 - prov diff --git a/environment_osx.yml b/environment_osx.yml index 7287c76c92..17f4e6d963 100644 --- a/environment_osx.yml +++ b/environment_osx.yml @@ -21,7 +21,7 @@ dependencies: - distributed - ecmwf-api-client - eofs - - esmpy + - esmpy !=8.1.0,<8.6.0 # https://github.com/SciTools-incubator/iris-esmf-regrid/pull/342#issuecomment-2092921514 - esmvalcore 2.10.* - fiona - fire @@ -40,7 +40,7 @@ dependencies: - numpy !=1.24.3 # severe masking bug - openpyxl - packaging - - pandas + - pandas !=2.2.0,!=2.2.1,!=2.2.2 # github.com/ESMValGroup/ESMValCore/pull/2305 - pip !=21.3 - progressbar2 - prov diff --git a/setup.py b/setup.py index c86dc4118e..cd278e50b1 100755 --- a/setup.py +++ b/setup.py @@ -31,7 +31,7 @@ 'distributed', 'ecmwf-api-client', 'eofs', - 'ESMPy', + 'ESMPy', # not on PyPI 'esmvalcore', 'esmf-regrid>=0.7.0', 'fiona', @@ -49,7 +49,7 @@ 'numpy!=1.24.3', # severe masking bug 'openpyxl', 'packaging', - 'pandas', + 'pandas!=2.2.0,!=2.2.1,!=2.2.2', # ESMValCore PR2305 'progressbar2', 'psyplot', 'psy-maps', From b90e6e93c8aa60fa103493fa5e8a3c1cd3e13aad Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Tue, 21 May 2024 14:20:19 +0200 Subject: [PATCH 16/21] [Condalock] Update Linux condalock file (#3602) Co-authored-by: valeriupredoi --- conda-linux-64.lock | 116 ++++++++++++++++++++++---------------------- 1 file changed, 58 insertions(+), 58 deletions(-) diff --git a/conda-linux-64.lock b/conda-linux-64.lock index 7d2cf6994d..f37c2e310d 100644 --- a/conda-linux-64.lock +++ b/conda-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: f274c79b28e051195e24e39904d5f4bd4713f149f8e57358a8df008d2fb8342e +# input_hash: be61247fa188c644bffb3a402ab7a5b10c4294187450b4a075a088bde1255a2e @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 @@ -13,11 +13,11 @@ https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77 https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_2.conda#cbbe59391138ea5ad3658c76912e147f https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-he073ed8_17.conda#d731b543793afc0433c4fd593e693fce https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-h55db66e_0.conda#10569984e7db886e4f1abc2b47ad79a1 -https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.84.0-ha770c72_2.conda#85d30a3fcc0f1cfc252776208af546a1 +https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.85.0-ha770c72_1.conda#012455a6eddcbf487ef0ddd1715f0b80 https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-13.2.0-hceb6213_107.conda#2cc37ba482c6321237ce72329e1aaea2 https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-13.2.0-hceb6213_107.conda#2b409e9645fb3d69115d04496d1219cc https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda#53ebd4c833fa01cb2c6353e99f905406 -https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.1.13-ha770c72_0.conda#9105ee57dc4869bc5d1876b531202676 +https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.2-ha770c72_0.conda#8c924f0b7f3e064b1c954a08e7c32fba 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/noarch/tzdata-2024a-h0c530f3_0.conda#161081fc7cec0bfda0d86d7cb595f8d8 @@ -92,7 +92,7 @@ https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001. https://conda.anaconda.org/conda-forge/linux-64/rav1e-0.6.6-he8a937b_2.conda#77d9955b4abddb811cb8ab1aa7d743e4 https://conda.anaconda.org/conda-forge/linux-64/sed-4.8-he412f7d_0.tar.bz2#7362f0042e95681f5d371c46c83ebd08 https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.0-hdb0a2a9_1.conda#843bbb8ace1d64ac50d64639ff38b014 -https://conda.anaconda.org/conda-forge/linux-64/svt-av1-2.0.0-h59595ed_0.conda#207e01ffa0eb2d2efb83fb6f46365a21 +https://conda.anaconda.org/conda-forge/linux-64/svt-av1-2.1.0-hac33072_0.conda#2a08edb7cd75e56623f2712292a97325 https://conda.anaconda.org/conda-forge/linux-64/tzcode-2024a-h3f72095_0.conda#32146e34aaec3745a08b6f49af3f41b0 https://conda.anaconda.org/conda-forge/linux-64/uriparser-0.9.8-hac33072_0.conda#d71d3a66528853c0a1ac2c02d79a0284 https://conda.anaconda.org/conda-forge/linux-64/xorg-inputproto-2.3.2-h7f98852_1002.tar.bz2#bcd1b3396ec6960cbc1d2855a9e60b2b @@ -118,7 +118,7 @@ https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-13.2.0-h9eb54c https://conda.anaconda.org/conda-forge/linux-64/glog-0.7.0-hed5481d_0.conda#a9ea19c48e11754899299f8123070f4e https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda#bd77f8da987968ec3927990495dc22e4 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/libavif16-1.0.4-hfa3d5b6_3.conda#3518d00de414c39b46d87dcc1ff65661 +https://conda.anaconda.org/conda-forge/linux-64/libavif16-1.0.4-hd2f8ffe_4.conda#cb911b3e0d863ca9caafd767525f7cac 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/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1 @@ -137,7 +137,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda# https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda#33277193f5b92bad9fdd230eb700929c https://conda.anaconda.org/conda-forge/linux-64/libxgboost-2.0.3-cuda118_h09a87be_4.conda#bfaf927bc7665d327ff5b8e5b8dbf2df -https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.6-h232c23b_2.conda#9a3a42df8a95f65334dfc7b80da1195d +https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_0.conda#5d801a4906adc712d480afc362623b59 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.10.1-h2629f0a_3.conda#ac79812548e7e8cf61f7b0abdef01d3b https://conda.anaconda.org/conda-forge/linux-64/mpfr-4.2.1-h9458935_1.conda#8083b20f566639c22f78bcd6ca35b276 https://conda.anaconda.org/conda-forge/linux-64/openlibm-0.8.1-hd590300_1.conda#6eba22eb06d69e53d0ca01eef42bc675 @@ -167,7 +167,7 @@ https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda#cd9 https://conda.anaconda.org/conda-forge/linux-64/libarchive-3.7.2-h2aa1ff5_1.conda#3bf887827d1968275978361a6e405e4f https://conda.anaconda.org/conda-forge/linux-64/libgit2-1.7.2-h65212e3_2.conda#01180180962748088e2b8c6c46f5a587 https://conda.anaconda.org/conda-forge/linux-64/libglib-2.80.2-hf974151_0.conda#72724f6a78ecb15559396966226d5838 -https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.10.0-default_h2fb2949_1000.conda#7e3726e647a619c6ce5939014dfde86d +https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.10.0-default_h5622ce7_1001.conda#fc2d5b79c2d3f8568fbab31db7ae02f3 https://conda.anaconda.org/conda-forge/linux-64/libjxl-0.10.2-hcae5a98_0.conda#901db891e1e21afd8524cd636a8c8e3b https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda#a356024784da6dfd4683dc5ecf45b155 https://conda.anaconda.org/conda-forge/linux-64/libopenblas-ilp64-0.3.27-pthreads_h384dd9e_0.conda#025629e15edccee84df4713ce69192e5 @@ -221,8 +221,8 @@ https://conda.anaconda.org/conda-forge/noarch/findlibs-0.0.5-pyhd8ed1ab_0.conda# https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda#0f69b688f52ff6da70bccb7ff7001d1d https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h743c826_0.conda#12e6988845706b2cfbc3bc35c9a61a95 https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.4.1-py311h459d7ec_0.conda#b267e553a337e1878512621e374845c5 -https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.3.1-pyhca7485f_0.conda#b7f0662ef2c9d4404f0af9eef5ed2fde -https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.11-hb9ae30d_0.conda#9bd27b5e21da16e40cf799bc2acf47d1 +https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.5.0-pyhff2d567_0.conda#d73e9932511ef7670b2cc0ebd9dfbd30 +https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f https://conda.anaconda.org/conda-forge/noarch/geographiclib-2.0-pyhd8ed1ab_0.tar.bz2#6b1f32359fc5d2ab7b491d0029bfffeb https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe https://conda.anaconda.org/conda-forge/noarch/humanfriendly-10.0-pyhd8ed1ab_6.conda#2ed1fe4b9079da97c44cfe9c2e5078fd @@ -240,12 +240,12 @@ https://conda.anaconda.org/conda-forge/linux-64/libpq-16.3-ha72fbe1_0.conda#bac7 https://conda.anaconda.org/conda-forge/linux-64/libwebp-1.4.0-h2c329e2_0.conda#80030debaa84cfc31755d53742df3ca6 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+https://conda.anaconda.org/conda-forge/linux-64/r-checkmate-2.3.1-r43h57805ef_0.conda#b3e470863d9e21349b1a6c075b681901 https://conda.anaconda.org/conda-forge/linux-64/r-class-7.3_22-r43h57805ef_1.conda#edcd749bf55569ea5c2f419c10e6ee59 https://conda.anaconda.org/conda-forge/linux-64/r-climdex.pcic-1.1_11-r43ha503ecb_2.conda#59f6775bc30ccc52a2ec7aa8f353dd9b https://conda.anaconda.org/conda-forge/noarch/r-desc-1.4.3-r43hc72bb7e_0.conda#3bd51d5d0cc81f943e93eabb982b318b @@ -613,8 +613,8 @@ https://conda.anaconda.org/conda-forge/linux-64/r-zoo-1.8_12-r43h57805ef_1.conda https://conda.anaconda.org/conda-forge/noarch/seaborn-0.13.2-hd8ed1ab_2.conda#a79d8797f62715255308d92d3a91ef2e https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.5-pyhd8ed1ab_0.conda#0f74ff434e03fa89315ec45ec1bc4284 https://conda.anaconda.org/conda-forge/noarch/xgboost-2.0.3-cuda120_pyh68bd8d9_4.conda#aaaadc3a408067943ebc10299393a7c3 -https://conda.anaconda.org/conda-forge/linux-64/gdal-3.8.5-py311hd032c08_2.conda#27cec24f4d84b46f04b59c41c1b9c071 -https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-16.0.0-hac33072_1_cpu.conda#68aac3dcc08dd7630e557d7c21d03d9f +https://conda.anaconda.org/conda-forge/linux-64/gdal-3.8.5-py311hf92cf48_7.conda#99b21fe537bd3afa6fc28949cc2d9ba5 +https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-16.1.0-hac33072_1_cpu.conda#855feea87f42887b22accedd41fa0755 https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.16.4-hd8ed1ab_0.conda#391934bd1a79990c23df1d1809ddc821 https://conda.anaconda.org/conda-forge/linux-64/ncl-6.6.2-h41fde0b_52.conda#95107b6217e5c62d59103490428b4dc4 https://conda.anaconda.org/conda-forge/noarch/prov-2.0.0-pyhd3deb0d_0.tar.bz2#aa9b3ad140f6c0668c646f32e20ccf82 @@ -638,8 +638,8 @@ https://conda.anaconda.org/conda-forge/noarch/r-scales-1.3.0-r43hc72bb7e_0.conda https://conda.anaconda.org/conda-forge/linux-64/r-specsverification-0.5_3-r43ha503ecb_3.conda#e9e632dc89a5235a6a44b42f23b497d8 https://conda.anaconda.org/conda-forge/linux-64/r-vctrs-0.6.5-r43ha503ecb_0.conda#e398bd0451e6350a876a8561f8e90682 https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.10-py311h375a7ea_0.conda#edc4a14a8bef2be9fbe6906ce75c0939 -https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.6-py311hf8e0aa6_0.conda#80e9901639787044e91155e9a99d706d -https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-16.0.0-h7e0c224_1_cpu.conda#0bef58136c2627be09f838add7826e80 +https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.6-py311h4c8953a_1.conda#896652a042ee508365292b99e6cea677 +https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-16.1.0-h7e0c224_1_cpu.conda#0f04b3b2867e724c72e20a29f2f76169 https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.16.4-hd8ed1ab_0.conda#c9d64b8a7ee8e6bdbf0e7d8aa7f39601 https://conda.anaconda.org/conda-forge/linux-64/r-classint-0.4_10-r43h61816a4_0.conda#3cd17c77cac1801072c599c7cddff7f2 https://conda.anaconda.org/conda-forge/noarch/r-cyclocomp-1.1.1-r43hc72bb7e_0.conda#5287430003206a614ae64a91c8490e3c @@ -649,16 +649,16 @@ https://conda.anaconda.org/conda-forge/noarch/r-multiapply-2.1.4-r43hc72bb7e_1.c https://conda.anaconda.org/conda-forge/noarch/r-pillar-1.9.0-r43hc72bb7e_1.conda#7cff01456566a69381d3907d520c10b2 https://conda.anaconda.org/conda-forge/linux-64/r-purrr-1.0.2-r43h57805ef_0.conda#713053b11419075641f09df086ef58d9 https://conda.anaconda.org/conda-forge/noarch/r-r.cache-0.16.0-r43hc72bb7e_2.conda#fa01685a9c07191e186357c001b19ece -https://conda.anaconda.org/conda-forge/linux-64/pyarrow-16.0.0-py311h781c19f_0.conda#48687e7576f8cd29831fe675210b20a3 +https://conda.anaconda.org/conda-forge/linux-64/pyarrow-16.1.0-py311h781c19f_0.conda#bd1348ebc8a3f45a18f5e3f01483a628 https://conda.anaconda.org/conda-forge/noarch/r-climprojdiags-0.3.3-r43hc72bb7e_0.conda#5b6f07861439a584c942ec0c3967660f https://conda.anaconda.org/conda-forge/noarch/r-lintr-3.1.2-r43hc72bb7e_0.conda#d2b855cb2d8c0c5c870fe61d0f7e0d0c https://conda.anaconda.org/conda-forge/linux-64/r-sf-1.0_16-r43hce28180_1.conda#0864946e6a6921524db2cef2f72e1975 https://conda.anaconda.org/conda-forge/linux-64/r-tibble-3.2.1-r43h57805ef_2.conda#afa7d3f21fbc5a2fbaa48cb9bacb7bce -https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.0-pyhd8ed1ab_0.conda#95a084542b8a658f828ade60dcfa3ae7 +https://conda.anaconda.org/conda-forge/noarch/dask-expr-1.1.1-pyhd8ed1ab_1.conda#00a6a9a6c58075008515a106625047cf https://conda.anaconda.org/conda-forge/noarch/pyarrow-hotfix-0.6-pyhd8ed1ab_0.conda#ccc06e6ef2064ae129fab3286299abda https://conda.anaconda.org/conda-forge/noarch/r-ggplot2-3.5.1-r43hc72bb7e_0.conda#efb6b27dba202d74e5f182faae28794a https://conda.anaconda.org/conda-forge/noarch/r-rematch2-2.1.2-r43hc72bb7e_3.conda#d1f849bc6b24f93c392f4177f65578b4 -https://conda.anaconda.org/conda-forge/noarch/dask-2024.5.0-pyhd8ed1ab_0.conda#0b368413a750696db7fa3b1eed08b4d6 +https://conda.anaconda.org/conda-forge/noarch/dask-2024.5.1-pyhd8ed1ab_0.conda#2b7c338ca2077c3131871523fa38d4ed https://conda.anaconda.org/conda-forge/noarch/r-styler-1.10.3-r43hc72bb7e_0.conda#de41a01071ff652806dd79cd7ddaf239 https://conda.anaconda.org/conda-forge/linux-64/r-tlmoments-0.7.5.3-r43ha503ecb_1.conda#cc23eacc44f680ecc36222de5a1c6694 https://conda.anaconda.org/conda-forge/noarch/r-viridis-0.6.5-r43hc72bb7e_0.conda#327e96357f5ba37795f2e292e29091c7 From 7513b7276655316d353a9da93c7a9d3e8eda7490 Mon Sep 17 00:00:00 2001 From: Manuel Schlund <32543114+schlunma@users.noreply.github.com> Date: Tue, 21 May 2024 14:21:00 +0200 Subject: [PATCH 17/21] Fixed attribute handling in emergent constraint diagnostic for iris>=3.8 (#3605) --- .../emergent_constraints/__init__.py | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/esmvaltool/diag_scripts/emergent_constraints/__init__.py b/esmvaltool/diag_scripts/emergent_constraints/__init__.py index 1949719acb..545a07d9b5 100644 --- a/esmvaltool/diag_scripts/emergent_constraints/__init__.py +++ b/esmvaltool/diag_scripts/emergent_constraints/__init__.py @@ -297,12 +297,16 @@ def _get_data_frame(var_type, cubes, label_all_data, group_by=None): def _metadata_to_dict(metadata): """Convert :class:`iris.cube.CubeMetadata` to :obj:`dict`.""" - new_dict = {} - for (key, val) in metadata._asdict().items(): - if isinstance(val, dict): - new_dict.update(val) - else: - new_dict[key] = val + new_dict = dict(metadata.attributes) + other_keys = [ + 'standard_name', + 'long_name', + 'var_name', + 'units', + 'cell_methods', + ] + for key in other_keys: + new_dict[key] = getattr(metadata, key) return new_dict From 4ab64905c2c6ed601d987df431d5a1c6ad96e4a7 Mon Sep 17 00:00:00 2001 From: Manuel Schlund <32543114+schlunma@users.noreply.github.com> Date: Tue, 21 May 2024 14:21:19 +0200 Subject: [PATCH 18/21] Fixed attribute handling in austral_jet/main.ncl for iris>=3.8 (#3603) --- esmvaltool/diag_scripts/austral_jet/main.ncl | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/esmvaltool/diag_scripts/austral_jet/main.ncl b/esmvaltool/diag_scripts/austral_jet/main.ncl index c078830687..1b7604d4f5 100644 --- a/esmvaltool/diag_scripts/austral_jet/main.ncl +++ b/esmvaltool/diag_scripts/austral_jet/main.ncl @@ -342,14 +342,22 @@ begin lat_range = f->lat_bnds end if else - if (isatt(f, "plev") .and. \ + f_var = f->$var0$ + if (isatt(f, "plev") .and. \ ; ESMValCore < 2.11.0 isatt(f, "lat_range_0") .and. \ isatt(f, "lat_range_1")) then lev = f@plev lat_range = (/f@lat_range_0, f@lat_range_1/) + else if (isatt(f_var, "plev") .and. \ ; ESMValCore >= 2.11.0 + isatt(f_var, "lat_range_0") .and. \ + isatt(f_var, "lat_range_1")) then + lev = f_var@plev + lat_range = (/f_var@lat_range_0, f_var@lat_range_1/) else error_msg("f", DIAG_SCRIPT, "", "cannot read plev and latrange") end if + end if + delete(f_var) end if log_info("Retrieved pressure level " + lev + " and latitude range " + \ lat_range(0) + " to " + lat_range(1) + " from preprocessed data") From ead073d89f08996e57c5f7bd0fcb08955aea7fa5 Mon Sep 17 00:00:00 2001 From: Emma Hogan Date: Thu, 23 May 2024 12:19:53 +0100 Subject: [PATCH 19/21] Update the name of the remapcon2 operator in R recipes (#3611) --- environment.yml | 2 +- environment_osx.yml | 4 ++-- esmvaltool/diag_scripts/hyint/hyint_etccdi_preproc.R | 2 +- esmvaltool/diag_scripts/hyint/hyint_functions.R | 8 ++++---- esmvaltool/diag_scripts/hyint/hyint_preproc.R | 2 +- esmvaltool/diag_scripts/miles/basis_functions.R | 4 ++-- .../diag_scripts/quantilebias/quantilebias_functions.R | 4 ++-- 7 files changed, 13 insertions(+), 13 deletions(-) diff --git a/environment.yml b/environment.yml index 3bda334367..ad4666aadd 100644 --- a/environment.yml +++ b/environment.yml @@ -11,7 +11,7 @@ channels: dependencies: - aiohttp - cartopy - - cdo >=1.9.7 + - cdo >=2.3.0 - cdsapi - cf-units - cftime diff --git a/environment_osx.yml b/environment_osx.yml index 17f4e6d963..290adb6b1c 100644 --- a/environment_osx.yml +++ b/environment_osx.yml @@ -11,7 +11,7 @@ channels: dependencies: - aiohttp - cartopy - - cdo >=1.9.7 + - cdo >=2.3.0 - cdsapi - cf-units - cftime @@ -48,7 +48,7 @@ dependencies: - psy-maps - psy-reg - psy-simple - - pyproj>=2.1 + - pyproj >=2.1 - pys2index # only from conda-forge - python >=3.9 - python-cdo diff --git a/esmvaltool/diag_scripts/hyint/hyint_etccdi_preproc.R b/esmvaltool/diag_scripts/hyint/hyint_etccdi_preproc.R index bb14906453..36c09f952d 100644 --- a/esmvaltool/diag_scripts/hyint/hyint_etccdi_preproc.R +++ b/esmvaltool/diag_scripts/hyint/hyint_etccdi_preproc.R @@ -29,7 +29,7 @@ hyint_etccdi_preproc <- sfile_tmp0 <- cdo("delvar", args = "time_bnds", input = sfile) gridf <- tempfile() cdo("griddes", input = hyint_file, stdout = gridf) - sfile_tmp1 <- cdo("remapcon2", + sfile_tmp1 <- cdo("remapscon2", args = gridf, input = sfile_tmp0 ) diff --git a/esmvaltool/diag_scripts/hyint/hyint_functions.R b/esmvaltool/diag_scripts/hyint/hyint_functions.R index 5cc2b9d07e..a1595c2a72 100644 --- a/esmvaltool/diag_scripts/hyint/hyint_functions.R +++ b/esmvaltool/diag_scripts/hyint/hyint_functions.R @@ -626,7 +626,7 @@ create_landseamask <- ## Regridding the topographic map to chosen grid cdo( - "remapcon2", + "remapscon2", args = paste0("'", regrid, "'"), input = ftopo, output = regridded_topo @@ -827,7 +827,7 @@ ncdf_opener_universal <- # nolint rotate = "full", interp2grid = F, grid = "r144x73", - remap_method = "remapcon2", + remap_method = "remapscon2", exportlonlat = TRUE, verbose = F) { # load package @@ -1090,7 +1090,7 @@ ncdf_opener <- function(namefile, rotate = "full", interp2grid = F, grid = "r144x73", - remap_method = "remapcon2", + remap_method = "remapscon2", exportlonlat = T) { field <- ncdf_opener_universal( @@ -1123,7 +1123,7 @@ ncdf_opener_time <- # nolint rotate = "full", interp2grid = F, grid = "r144x73", - remap_method = "remapcon2") { + remap_method = "remapscon2") { # function to open netcdf files. It uses ncdf4 library # time selection of month and years needed automatically rotate matrix # to place greenwich at the center (flag "rotate") diff --git a/esmvaltool/diag_scripts/hyint/hyint_preproc.R b/esmvaltool/diag_scripts/hyint/hyint_preproc.R index ec0807cf70..c8350a061d 100644 --- a/esmvaltool/diag_scripts/hyint/hyint_preproc.R +++ b/esmvaltool/diag_scripts/hyint/hyint_preproc.R @@ -22,7 +22,7 @@ hyint_preproc <- function(work_dir, } else { gridf <- rgrid } - tempf <- cdo("remapcon2", args = gridf, input = climofile) + tempf <- cdo("remapscon2", args = gridf, input = climofile) unlink(gridf) } else { tempf <- cdo("addc", args = "0", input = climofile) diff --git a/esmvaltool/diag_scripts/miles/basis_functions.R b/esmvaltool/diag_scripts/miles/basis_functions.R index 2eb65b0789..adab0c0d6a 100644 --- a/esmvaltool/diag_scripts/miles/basis_functions.R +++ b/esmvaltool/diag_scripts/miles/basis_functions.R @@ -336,7 +336,7 @@ ncdf_opener_universal <- # nolint interp2grid = FALSE, fillmiss = FALSE, grid = "r144x73", - remap_method = "remapcon2", + remap_method = "remapscon2", exportlonlat = TRUE, verbose = TRUE) { # load package @@ -645,7 +645,7 @@ ncdf_opener <- function(namefile, interp2grid = FALSE, fillmiss = FALSE, grid = "r144x73", - remap_method = "remapcon2", + remap_method = "remapscon2", exportlonlat = TRUE, verbose = FALSE) { field <- ncdf_opener_universal( diff --git a/esmvaltool/diag_scripts/quantilebias/quantilebias_functions.R b/esmvaltool/diag_scripts/quantilebias/quantilebias_functions.R index 8d520cf545..cbd9e72acf 100644 --- a/esmvaltool/diag_scripts/quantilebias/quantilebias_functions.R +++ b/esmvaltool/diag_scripts/quantilebias/quantilebias_functions.R @@ -62,7 +62,7 @@ ncdf_opener_universal <- # nolint rotate = "full", interp2grid = F, grid = "r144x73", - remap_method = "remapcon2", + remap_method = "remapscon2", exportlonlat = TRUE, verbose = F) { # load package @@ -326,7 +326,7 @@ ncdf_opener <- function(namefile, rotate = "full", interp2grid = F, grid = "r144x73", - remap_method = "remapcon2", + remap_method = "remapscon2", exportlonlat = T) { field <- ncdf_opener_universal( From 1278fc0079ac294e677236c7610135d97e00520d Mon Sep 17 00:00:00 2001 From: Valeriu Predoi Date: Fri, 24 May 2024 11:24:43 +0200 Subject: [PATCH 20/21] [CI Github Actions] Update (outdated) actions versions that produce Node.js warnings (#3586) --- .github/workflows/citation_file_validator.yml | 2 +- .github/workflows/create-condalock-file.yml | 6 +++--- .github/workflows/install-from-conda.yml | 8 ++++---- .github/workflows/install-from-condalock-file.yml | 6 +++--- .github/workflows/install-from-source.yml | 10 +++++----- .github/workflows/pypi-build-and-deploy.yml | 2 +- .github/workflows/run-tests-monitor.yml | 14 ++++++++------ .github/workflows/test-development.yml | 6 +++--- .github/workflows/test.yml | 14 ++++++++------ 9 files changed, 36 insertions(+), 32 deletions(-) diff --git a/.github/workflows/citation_file_validator.yml b/.github/workflows/citation_file_validator.yml index 43a4d5c444..e957d40f86 100644 --- a/.github/workflows/citation_file_validator.yml +++ b/.github/workflows/citation_file_validator.yml @@ -16,7 +16,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Check out a copy of the repository - uses: actions/checkout@v3 + uses: actions/checkout@v4 - name: Check whether the citation metadata from CITATION.cff is valid uses: citation-file-format/cffconvert-github-action@2.0.0 diff --git a/.github/workflows/create-condalock-file.yml b/.github/workflows/create-condalock-file.yml index 9aefad7498..a88f919c17 100644 --- a/.github/workflows/create-condalock-file.yml +++ b/.github/workflows/create-condalock-file.yml @@ -20,10 +20,10 @@ jobs: name: Create conda lock file for latest Python runs-on: 'ubuntu-latest' steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: auto-update-conda: true activate-environment: esmvaltool-fromlock @@ -35,7 +35,7 @@ jobs: run: | conda update -n base -c conda-forge conda conda --version - # setup-miniconda@v2 installs an old conda and mamba + # setup-miniconda@v3 installs an old conda and mamba # forcing a modern mamba updates both mamba and conda conda install -c conda-forge "mamba>=1.4.8" conda config --show-sources diff --git a/.github/workflows/install-from-conda.yml b/.github/workflows/install-from-conda.yml index 55897e7fe4..862fd0aad6 100644 --- a/.github/workflows/install-from-conda.yml +++ b/.github/workflows/install-from-conda.yml @@ -23,7 +23,7 @@ jobs: python-version: ["3.9", "3.10", "3.11"] name: Linux Python ${{ matrix.python-version }} steps: - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: python-version: ${{ matrix.python-version }} miniforge-version: "latest" @@ -44,7 +44,7 @@ jobs: esmvaltool version 2>&1 | tee conda_install_linux_artifacts_python_${{ matrix.python-version }}/version.txt - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Conda_Install_Linux_python_${{ matrix.python-version }} path: conda_install_linux_artifacts_python_${{ matrix.python-version }} @@ -61,7 +61,7 @@ jobs: # name: OSX Python ${{ matrix.python-version }} # steps: # - uses: actions/checkout@v2 -# - uses: conda-incubator/setup-miniconda@v2 +# - uses: conda-incubator/setup-miniconda@v3 # with: # python-version: ${{ matrix.python-version }} # miniconda-version: "latest" @@ -82,7 +82,7 @@ jobs: # - run: esmvaltool version 2>&1 | tee conda_install_osx_artifacts_python_${{ matrix.python-version }}/version.txt # - name: Upload artifacts # if: ${{ always() }} # upload artifacts even if fail -# uses: actions/upload-artifact@v2 +# uses: actions/upload-artifact@v4 # with: # name: Conda_Install_OSX_python_${{ matrix.python-version }} # path: conda_install_osx_artifacts_python_${{ matrix.python-version }} diff --git a/.github/workflows/install-from-condalock-file.yml b/.github/workflows/install-from-condalock-file.yml index a209c06f32..ef19a4cb15 100644 --- a/.github/workflows/install-from-condalock-file.yml +++ b/.github/workflows/install-from-condalock-file.yml @@ -34,10 +34,10 @@ jobs: fail-fast: false name: Linux Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: activate-environment: esmvaltool-fromlock python-version: ${{ matrix.python-version }} @@ -57,7 +57,7 @@ jobs: - run: pytest -n 2 -m "not installation" - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Source_Install_Linux_python_${{ matrix.python-version }} path: source_install_linux_artifacts_python_${{ matrix.python-version }} diff --git a/.github/workflows/install-from-source.yml b/.github/workflows/install-from-source.yml index 2e24b8f049..6e9c1de19a 100644 --- a/.github/workflows/install-from-source.yml +++ b/.github/workflows/install-from-source.yml @@ -23,10 +23,10 @@ jobs: fail-fast: false name: Linux Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: activate-environment: esmvaltool environment-file: environment.yml @@ -47,7 +47,7 @@ jobs: esmvaltool version 2>&1 | tee source_install_linux_artifacts_python_${{ matrix.python-version }}/version.txt - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Source_Install_Linux_python_${{ matrix.python-version }} path: source_install_linux_artifacts_python_${{ matrix.python-version }} @@ -64,7 +64,7 @@ jobs: # name: OSX Python ${{ matrix.python-version }} # steps: # - uses: actions/checkout@v2 -# - uses: conda-incubator/setup-miniconda@v2 +# - uses: conda-incubator/setup-miniconda@v3 # with: # activate-environment: esmvaltool # environment-file: environment.yml @@ -79,7 +79,7 @@ jobs: # - run: esmvaltool version 2>&1 | tee source_install_osx_artifacts_python_${{ matrix.python-version }}/version.txt # - name: Upload artifacts # if: ${{ always() }} # upload artifacts even if fail -# uses: actions/upload-artifact@v2 +# uses: actions/upload-artifact@v4 # with: # name: Source_Install_OSX_python_${{ matrix.python-version }} # path: source_install_osx_artifacts_python_${{ matrix.python-version }} diff --git a/.github/workflows/pypi-build-and-deploy.yml b/.github/workflows/pypi-build-and-deploy.yml index f1ed214e12..4dff1e4d69 100644 --- a/.github/workflows/pypi-build-and-deploy.yml +++ b/.github/workflows/pypi-build-and-deploy.yml @@ -14,7 +14,7 @@ jobs: name: Build and publish ESMValTool on PyPi runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - name: Set up Python 3.11 diff --git a/.github/workflows/run-tests-monitor.yml b/.github/workflows/run-tests-monitor.yml index c381bfca9e..52cc282235 100644 --- a/.github/workflows/run-tests-monitor.yml +++ b/.github/workflows/run-tests-monitor.yml @@ -26,10 +26,10 @@ jobs: python-version: ["3.9", "3.10", "3.11"] name: Linux Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: activate-environment: esmvaltool environment-file: environment.yml @@ -58,7 +58,7 @@ jobs: run: python tests/parse_pymon.py - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Test_Linux_python_${{ matrix.python-version }} path: test_linux_artifacts_python_${{ matrix.python-version }} @@ -68,14 +68,16 @@ jobs: strategy: matrix: python-version: ["3.9", "3.10", "3.11"] + architecture: ["x64"] # need to force Intel, arm64 builds have issues fail-fast: false name: OSX Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: + architecture: ${{ matrix.architecture }} activate-environment: esmvaltool environment-file: environment_osx.yml python-version: ${{ matrix.python-version }} @@ -107,7 +109,7 @@ jobs: run: python tests/parse_pymon.py - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Test_OSX_python_${{ matrix.python-version }} path: test_osx_artifacts_python_${{ matrix.python-version }} diff --git a/.github/workflows/test-development.yml b/.github/workflows/test-development.yml index cab6489548..7ff8c93680 100644 --- a/.github/workflows/test-development.yml +++ b/.github/workflows/test-development.yml @@ -30,10 +30,10 @@ jobs: python-version: ["3.9", "3.10", "3.11"] name: Linux Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: activate-environment: esmvaltool environment-file: environment.yml @@ -62,7 +62,7 @@ jobs: run: pytest -n 2 -m "not installation" 2>&1 | tee develop_test_linux_artifacts_python_${{ matrix.python-version }}/test_report.txt - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Develop_Test_Linux_python_${{ matrix.python-version }} path: develop_test_linux_artifacts_python_${{ matrix.python-version }} diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 8291bc6914..49f1a14003 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -23,10 +23,10 @@ jobs: python-version: ["3.9", "3.10", "3.11"] name: Linux Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: activate-environment: esmvaltool environment-file: environment.yml @@ -63,7 +63,7 @@ jobs: run: pytest -n 2 -m "not installation" 2>&1 | tee test_linux_artifacts_python_${{ matrix.python-version }}/test_report.txt - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Test_Linux_python_${{ matrix.python-version }} path: test_linux_artifacts_python_${{ matrix.python-version }} @@ -73,14 +73,16 @@ jobs: strategy: matrix: python-version: ["3.9", "3.10", "3.11"] + architecture: ["x64"] # need to force Intel, arm64 builds have issues fail-fast: false name: OSX Python ${{ matrix.python-version }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: conda-incubator/setup-miniconda@v2 + - uses: conda-incubator/setup-miniconda@v3 with: + architecture: ${{ matrix.architecture }} activate-environment: esmvaltool environment-file: environment_osx.yml python-version: ${{ matrix.python-version }} @@ -112,7 +114,7 @@ jobs: run: pytest -n 2 -m "not installation" 2>&1 | tee test_osx_artifacts_python_${{ matrix.python-version }}/test_report.txt - name: Upload artifacts if: ${{ always() }} # upload artifacts even if fail - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: Test_OSX_python_${{ matrix.python-version }} path: test_osx_artifacts_python_${{ matrix.python-version }} From 7163b149cbfd84114d405544e695aadafc3f79b8 Mon Sep 17 00:00:00 2001 From: Alistair Sellar <16133375+alistairsellar@users.noreply.github.com> Date: Mon, 27 May 2024 13:32:03 +0100 Subject: [PATCH 21/21] Add native6, OBS6 and RAWOBS rootpaths to metoffice template in config-user-example.yml and remove temporary dir (#3613) --- config-user-example.yml | 29 +++++++++++++++++++++++++++-- 1 file changed, 27 insertions(+), 2 deletions(-) diff --git a/config-user-example.yml b/config-user-example.yml index ab9c8f3b4d..c102928db9 100644 --- a/config-user-example.yml +++ b/config-user-example.yml @@ -237,13 +237,38 @@ drs: # CMIP5: /project/champ/data/cmip5/output1 # CMIP6: /project/champ/data/CMIP6 # CORDEX: /project/champ/data/cordex/output -# OBS: /data/users/esmval/ESMValTool/temporary/obs/ -# obs4MIPs: /data/users/esmval/ESMValTool/temporary/obs/ +# OBS: /data/users/esmval/ESMValTool/obs +# OBS6: /data/users/esmval/ESMValTool/obs +# obs4MIPs: /data/users/esmval/ESMValTool/obs # ana4mips: /project/champ/data/ana4MIPs +# native6: /data/users/esmval/ESMValTool/rawobs +# RAWOBS: /data/users/esmval/ESMValTool/rawobs #drs: # CMIP5: BADC # CMIP6: BADC # CORDEX: BADC # OBS: default +# OBS6: default # obs4MIPs: default # ana4mips: BADC +# native6: default + +# Site-specific entries: NCI +# Uncomment the lines below to locate data at NCI. +#rootpath: +# CMIP6: [/g/data/oi10/replicas/CMIP6, /g/data/fs38/publications/CMIP6, /g/data/xp65/public/apps/esmvaltool/replicas/CMIP6] +# CMIP5: [/g/data/r87/DRSv3/CMIP5, /g/data/al33/replicas/CMIP5/combined, /g/data/rr3/publications/CMIP5/output1, /g/data/xp65/public/apps/esmvaltool/replicas/cmip5/output1] +# CMIP3: /g/data/r87/DRSv3/CMIP3 +# OBS: /g/data/ct11/access-nri/replicas/esmvaltool/obsdata-v2 +# OBS6: /g/data/ct11/access-nri/replicas/esmvaltool/obsdata-v2 +# obs4MIPs: /g/data/ct11/access-nri/replicas/esmvaltool/obsdata-v2 +# ana4mips: /g/data/ct11/access-nri/replicas/esmvaltool/obsdata-v2 +# native6: /g/data/xp65/public/apps/esmvaltool/native6 +# +#drs: +# CMIP6: NCI +# CMIP5: NCI +# CMIP3: NCI +# CORDEX: ESGF +# obs4MIPs: default +# ana4mips: default

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