{
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"# Link to ADF output\n",
"\n",
"The output from the stand-alone ADF configuration is in the link below\n",
"\n",
"\n",
"Note that ADF is currently run by users. We hope to update this in response to [CUPiD issue #105](https://github.com/NCAR/CUPiD/issues/105). Temporarily, we suggest users walk through the following process:\n",
"1) Install ADF and activate cupid-analysis\n",
"2) Use the `CUPiD/helper_scripts/generate_adf_config_file.py` script to generate an ADF config file based on a CUPiD configuration file.\n",
" * `cd CUPiD/examples/external_diag_packages`\n",
" * `../../helper_scripts/generate_adf_config_file.py --cupid-config-loc . --adf-template ../../externals/ADF/config_amwg_default_plots.yaml --out-file ADF_config.yaml`\n",
"3) Run ADF with the newly created configuration file.\n",
" * `../../externals/ADF/run_adf_diag ADF_config.yaml`"
]
},
{
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"source": [
"import os\n",
"\n",
"from IPython.core.display import HTML, Image\n",
"from IPython.display import display\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
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"parameters",
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"adf_root = \".\"\n",
"case_name = None\n",
"base_case_name = None\n",
"start_date = \"\"\n",
"end_date = \"\"\n",
"base_start_date = None\n",
"base_end_date = None\n",
"key_plots = None\n",
"# adf_root will be external_diag_packages/computed_notebooks/ADF/"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a9f196b8",
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},
"tags": [
"injected-parameters"
]
},
"outputs": [],
"source": [
"# Parameters\n",
"case_name = \"b.e30_beta06.B1850C_LTso.ne30_t232_wgx3.192\"\n",
"base_case_name = \"b.e30_beta06.B1850C_LTso.ne30_t232_wgx3.188\"\n",
"CESM_output_dir = \"/glade/derecho/scratch/hannay/archive\"\n",
"base_case_output_dir = \"/glade/derecho/scratch/gmarques/archive\"\n",
"start_date = \"0002-01-01\"\n",
"end_date = \"0021-12-01\"\n",
"base_start_date = \"0002-01-01\"\n",
"base_end_date = \"0021-12-01\"\n",
"obs_data_dir = (\n",
" \"/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data\"\n",
")\n",
"ts_dir = None\n",
"lc_kwargs = {\"threads_per_worker\": 1}\n",
"serial = True\n",
"adf_root = \"../../examples/key_metrics/ADF_output/\"\n",
"key_plots = [\n",
" \"Surface_Wind_Stress_ANN_LatLon_Vector_Mean.png\",\n",
" \"PRECT_ANN_LatLon_Mean.png\",\n",
" \"PS_DJF_SHPolar_Mean.png\",\n",
" \"TaylorDiag_ANN_Special_Mean.png\",\n",
"]\n",
"subset_kwargs = {}\n",
"product = \"/glade/work/hannay/CUPiD/examples/key_metrics/computed_notebooks//atm/link_to_ADF.ipynb\"\n"
]
},
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"source": [
"# Want some base case parameter defaults to equal control case values\n",
"if base_case_name is not None:\n",
" if base_start_date is None:\n",
" base_start_date = start_date\n",
"\n",
" if base_end_date is None:\n",
" base_end_date = end_date"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "4104f878-a8c3-4d0f-8c00-555e6b2b3273",
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"source": [
"# convert start-date and end-date to year range\n",
"case_year_range = [int(start_date.split(\"-\")[0]), int(end_date.split(\"-\")[0]) - 1]\n",
"\n",
"base_case_year_range = [\n",
" int(base_start_date.split(\"-\")[0]),\n",
" int(base_end_date.split(\"-\")[0]) - 1,\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "ee0774cc-c68a-4385-b94c-08fa806f28c0",
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"outputs": [
{
"data": {
"text/html": [
"Full ADF output"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"adf_comparison_name = f\"{case_name}_{case_year_range[0]}_{case_year_range[1]}_vs_{base_case_name}_{base_case_year_range[0]}_{base_case_year_range[1]}\"\n",
"adf_root = os.path.join(adf_root, adf_comparison_name)\n",
"display(\n",
" HTML(\n",
" f'Full ADF output'\n",
" )\n",
")"
]
},
{
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"id": "f9234aec-1fe5-4bbf-ad6c-fb565297afbe",
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"source": [
"## Key Metrics from ADF\n",
"\n",
"Some important things to look at from ADF include a comparison table and a few maps:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "a5b02451-98ad-4089-b184-75391a262db3",
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},
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"source": [
"comparison_table = os.path.join(adf_root, \"amwg_table_comp.csv\")\n",
"if os.path.isfile(comparison_table):\n",
" table = pd.read_csv(comparison_table)\n",
" display(HTML(table.to_html(index=False, float_format=\"{:6g}\".format)))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "be819352-c723-4f48-afac-d93f6d192f96",
"metadata": {
"editable": true,
"execution": {
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"status": "completed"
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"tags": [
"hide-input"
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"source": [
"for path_to_key_plot in key_plots:\n",
" full_path = os.path.join(adf_root, path_to_key_plot)\n",
" if os.path.isfile(full_path):\n",
" display(Image(full_path))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "cupid-infrastructure",
"language": "python",
"name": "cupid-infrastructure"
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"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
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"input_path": "/glade/derecho/scratch/hannay/tmp/tmp1tq99nc8.ipynb",
"output_path": "/glade/work/hannay/CUPiD/examples/key_metrics/computed_notebooks/atm/link_to_ADF.ipynb",
"parameters": {
"CESM_output_dir": "/glade/derecho/scratch/hannay/archive",
"adf_root": "../../examples/key_metrics/ADF_output/",
"base_case_name": "b.e30_beta06.B1850C_LTso.ne30_t232_wgx3.188",
"base_case_output_dir": "/glade/derecho/scratch/gmarques/archive",
"base_end_date": "0021-12-01",
"base_start_date": "0002-01-01",
"case_name": "b.e30_beta06.B1850C_LTso.ne30_t232_wgx3.192",
"end_date": "0021-12-01",
"key_plots": [
"Surface_Wind_Stress_ANN_LatLon_Vector_Mean.png",
"PRECT_ANN_LatLon_Mean.png",
"PS_DJF_SHPolar_Mean.png",
"TaylorDiag_ANN_Special_Mean.png"
],
"lc_kwargs": {
"threads_per_worker": 1
},
"obs_data_dir": "/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data",
"product": "/glade/work/hannay/CUPiD/examples/key_metrics/computed_notebooks//atm/link_to_ADF.ipynb",
"serial": true,
"start_date": "0002-01-01",
"subset_kwargs": {},
"ts_dir": null
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