python/cleanup_ETHZ_ClimWIP_atlas_weights.ipynb

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   "cell_type": "markdown",
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    "## Cleaning up Atlas data - ETHZ ClimWIP weights\n",
    "**Function**      : Preprocess netCDF files and restructure the dataset<br>\n",
    "**Description**   : In this notebook serves to clean up Atlas data which is given in netcdf format and aggregate the data into a single file.<br>\n",
    "**Return Values   : .nc files**<br>\n",
    "**Note**          : All the data is saved to netCDF4 format. Note that data from different models may vary concerning the resolution and coordinates.<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from pathlib import Path\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Path\n",
    "Specify the path to the dataset and the place to save the outputs. <br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# please specify data path\n",
    "datapath = Path(\"./AtlasData/raw/weights\")\n",
    "\n",
    "# please specify output path\n",
    "output_path = Path(\"./AtlasData/preprocess/weights\")\n",
    "os.makedirs(output_path, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "output_file_name = {\n",
    "    \"prefix\": \"atlas\",\n",
    "    \"activity\": \"EUCP\",  # project name e.g. EUCP\n",
    "    \"institution_id\": \"ETHZ\",  # ETHZ\n",
    "    \"source\": \"CMIP6\",  # e.g. CMIP6 or CMIP5\n",
    "    \"method\": \"ClimWIP\",  # e.g. ClimWIP\n",
    "    \"cmor_var\": \"tas\",  # e.g. tas or pr\n",
    "    \"suffix\": \"weights\",\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make some metadata. Here, we follow CF-conventions as much as possible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "attrs_vars = {\n",
    "    \"tas\": {\n",
    "        \"description\": \"Change in Air Temperature\",\n",
    "        \"standard_name\": \"Change in Air Temperature\",\n",
    "        \"long_name\": \"Change in Near-Surface Air Temperature\",\n",
    "        \"units\": \"K\",\n",
    "        \"cell_methods\": \"time: mean changes over 20 years 2041-2060 vs 1995-2014\",\n",
    "    },\n",
    "    \"pr\": {\n",
    "        \"description\": \"Relative precipitation\",\n",
    "        \"standard_name\": \"Relative precipitation\",\n",
    "        \"long_name\": \"Relative precipitation\",\n",
    "        \"units\": \"%\",\n",
    "        \"cell_methods\": \"time: mean changes over 20 years 2041-2060 vs 1995-2014\",\n",
    "    },\n",
    "    \"weight\": {\n",
    "        \"description\": (\"ClimWIP has a single weighting for a model for the whole domain.\"\n",
    "                        \"ClimWIP weights depend (to a degree) on the composition of the ensemble as the include an independence criterion.\"),\n",
    "        \"standard_name\": \"weight\",\n",
    "        \"long_name\": \"weight\",\n",
    "        \"units\": \"1\",\n",
    "    },\n",
    "    \"latitude\": {\"units\": \"degrees_north\", \"long_name\": \"latitude\", \"axis\": \"Y\"},\n",
    "    \"longitude\": {\"units\": \"degrees_east\", \"long_name\": \"longitude\", \"axis\": \"X\"},\n",
    "    \"time\": {\n",
    "        \"climatology\": \"climatology_bounds\",\n",
    "        \"long_name\": \"time\",\n",
    "        \"axis\": \"T\",\n",
    "        \"climatology_bounds\": [\"2050-6-1\", \"2050-9-1\", \"2050-12-1\", \"2051-3-1\"],\n",
    "        \"description\": \"mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.\",\n",
    "    },\n",
    "    \"model\": {\n",
    "        \"units\": \"1\",\n",
    "        \"long_name\": \"model\",\n",
    "        \"axis\": \"Z\",\n",
    "        \"description\":\"the model dimension uses the convention: <model name>_<number of ensemble members OR ensemble member ID if only one>_<model generation>\"\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load and process raw data\n",
    "Load data, clean it and save it. One file per each variable contains weights, data and model names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "institution_id = output_file_name[\"institution_id\"]\n",
    "method = output_file_name[\"method\"]\n",
    "\n",
    "TIMES = {\n",
    "    \"JJA\": \"2050-7-16\",\n",
    "    \"DJF\": \"2051-1-16\",\n",
    "}  # \"0000-4-16\", \"0000-7-16\", \"0000-10-16\", \"0000-1-16\" MAM JJA SON DJF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One dataset is saved to atlas_EUCP_ETHZ_CMIP6_ClimWIP_tas_weights.nc\n",
      "One dataset is saved to atlas_EUCP_ETHZ_CMIP6_ClimWIP_pr_weights.nc\n"
     ]
    }
   ],
   "source": [
    "for variable in [\"tas\", \"pr\"]:\n",
    "    seasons = []\n",
    "    file_names = []\n",
    "    for season in TIMES:\n",
    "        file_name = f\"eur_{variable}_41-60_{season.lower()}_cmip6.nc\"\n",
    "        file_names.append(file_name)\n",
    "        ds = xr.open_dataset(datapath / f\"{institution_id}_{method}/{file_name}\")\n",
    "        \n",
    "        # calculate relative precipitation\n",
    "        if variable == \"pr\":\n",
    "            ds_rel = ds.assign(pr = (ds[\"pr_mean\"]/ ds[\"pr_clim_mean\"]) * 100)\n",
    "            \n",
    "            # drop clim_mean, rename variables correctly, add time dimension\n",
    "            renamed_var = {\n",
    "                \"weights_mean\": \"weight\",\n",
    "                \"lon\": \"longitude\",\n",
    "                \"lat\": \"latitude\",\n",
    "            }\n",
    "            new_ds = ds_rel.drop([\"pr_clim_mean\", \"pr_mean\"]).rename(renamed_var).expand_dims({\"time\":[TIMES[season]]})\n",
    "\n",
    "        else:\n",
    "            # drop clim_mean, rename variables correctly, add time dimension\n",
    "            renamed_var = {\n",
    "                \"weights_mean\": \"weight\",\n",
    "                f\"tas_mean\": \"tas\",\n",
    "                \"lon\": \"longitude\",\n",
    "                \"lat\": \"latitude\",\n",
    "            }\n",
    "            new_ds = ds.drop(f\"tas_clim_mean\").rename(renamed_var).expand_dims({\"time\":[TIMES[season]]})\n",
    "        \n",
    "        # Fix attributes of each variable\n",
    "        for key in new_ds.keys():\n",
    "            new_ds[key].attrs = attrs_vars[key]\n",
    "\n",
    "        # a list of two seasons data   \n",
    "        seasons.append(new_ds)\n",
    "    \n",
    "    # merge two seasons data\n",
    "    data_variable = xr.concat(seasons, dim=\"time\")\n",
    "\n",
    "    # Fix attributes of dataset\n",
    "    attrs_ds = {\n",
    "    \"description\": f\"Contains modified {institution_id} {method} data used for Atlas in EUCP project.\",\n",
    "    \"history\": (\n",
    "        f\"original {institution_id} {method} data files: \"\n",
    "        f\"{file_names}\"),\n",
    "    }\n",
    "    data_variable.attrs = attrs_ds\n",
    "    \n",
    "    # save the data\n",
    "    output_file_name[\"cmor_var\"] = variable\n",
    "    file_name = f\"{'_'.join(output_file_name.values())}.nc\"\n",
    "    data_variable.to_netcdf(output_path / file_name)\n",
    "    print(f\"One dataset is saved to {file_name}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check input and output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:        (model: 39, lon: 20, lat: 19)\n",
       "Coordinates:\n",
       "  * model          (model) object &#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1-0-LL_5_CMIP6&#x27;\n",
       "  * lon            (lon) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * lat            (lat) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weights_mean   (model) float64 0.002204 0.02785 0.05572 ... 0.01007 0.01582\n",
       "    tas_mean       (model, lat, lon) float64 2.103 2.288 2.241 ... nan nan nan\n",
       "    tas_clim_mean  (model, lat, lon) float64 12.23 8.136 7.842 ... nan nan nan\n",
       "Attributes:\n",
       "    units:        1\n",
       "    long_name:    Normalized Model Weights\n",
       "    description:  (weights_q/weights_i) / sum(weights_q/weights_i)</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-133eedbc-ceec-4a33-94e2-52331299d72a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-133eedbc-ceec-4a33-94e2-52331299d72a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 39</li><li><span class='xr-has-index'>lon</span>: 20</li><li><span class='xr-has-index'>lat</span>: 19</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-875215cf-c47c-4371-be16-91650742ffc6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-875215cf-c47c-4371-be16-91650742ffc6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1...</div><input id='attrs-06e25eca-aac5-455d-a731-e003839aff5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06e25eca-aac5-455d-a731-e003839aff5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca9371e-db79-4643-bf65-abe197b49d0b' class='xr-var-data-in' type='checkbox'><label for='data-1ca9371e-db79-4643-bf65-abe197b49d0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ACCESS-CM2_3_CMIP6&#x27;, &#x27;ACCESS-ESM1-5_10_CMIP6&#x27;,\n",
       "       &#x27;AWI-CM-1-1-MR_r1i1p1f1_CMIP6&#x27;, &#x27;BCC-CSM2-MR_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CAMS-CSM1-0_2_CMIP6&#x27;, &#x27;CAS-ESM2-0_2_CMIP6&#x27;, &#x27;CESM2-WACCM_3_CMIP6&#x27;,\n",
       "       &#x27;CESM2_5_CMIP6&#x27;, &#x27;CIESM_r1i1p1f1_CMIP6&#x27;, &#x27;CMCC-CM2-SR5_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CMCC-ESM2_r1i1p1f1_CMIP6&#x27;, &#x27;CNRM-CM6-1-HR_r1i1p1f2_CMIP6&#x27;,\n",
       "       &#x27;CNRM-CM6-1_6_CMIP6&#x27;, &#x27;CNRM-ESM2-1_5_CMIP6&#x27;, &#x27;CanESM5-CanOE_3_CMIP6&#x27;,\n",
       "       &#x27;CanESM5_50_CMIP6&#x27;, &#x27;E3SM-1-1_r1i1p1f1_CMIP6&#x27;, &#x27;EC-Earth3-Veg_5_CMIP6&#x27;,\n",
       "       &#x27;EC-Earth3_7_CMIP6&#x27;, &#x27;FGOALS-f3-L_r1i1p1f1_CMIP6&#x27;, &#x27;FGOALS-g3_4_CMIP6&#x27;,\n",
       "       &#x27;FIO-ESM-2-0_3_CMIP6&#x27;, &#x27;GFDL-CM4_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;GFDL-ESM4_r1i1p1f1_CMIP6&#x27;, &#x27;GISS-E2-1-G_6_CMIP6&#x27;,\n",
       "       &#x27;HadGEM3-GC31-LL_4_CMIP6&#x27;, &#x27;HadGEM3-GC31-MM_4_CMIP6&#x27;,\n",
       "       &#x27;INM-CM4-8_r1i1p1f1_CMIP6&#x27;, &#x27;INM-CM5-0_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;IPSL-CM6A-LR_6_CMIP6&#x27;, &#x27;MIROC6_50_CMIP6&#x27;, &#x27;MIROC-ES2L_10_CMIP6&#x27;,\n",
       "       &#x27;MPI-ESM1-2-HR_2_CMIP6&#x27;, &#x27;MPI-ESM1-2-LR_10_CMIP6&#x27;, &#x27;MRI-ESM2-0_2_CMIP6&#x27;,\n",
       "       &#x27;NESM3_2_CMIP6&#x27;, &#x27;NorESM2-MM_r1i1p1f1_CMIP6&#x27;, &#x27;TaiESM1_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;UKESM1-0-LL_5_CMIP6&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.75 -6.25 -3.75 ... 36.25 38.75</div><input id='attrs-7e6b4a83-b268-4389-8079-f89e107c6c16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e6b4a83-b268-4389-8079-f89e107c6c16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-565326c5-a785-4493-a492-3200d0425b41' class='xr-var-data-in' type='checkbox'><label for='data-565326c5-a785-4493-a492-3200d0425b41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-8.75, -6.25, -3.75, -1.25,  1.25,  3.75,  6.25,  8.75, 11.25, 13.75,\n",
       "       16.25, 18.75, 21.25, 23.75, 26.25, 28.75, 31.25, 33.75, 36.25, 38.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.25 33.75 36.25 ... 73.75 76.25</div><input id='attrs-c8b64a47-2956-4f8f-bc90-e1acbab23eba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8b64a47-2956-4f8f-bc90-e1acbab23eba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-379759a8-d449-4d3b-b4e1-593b28b1741d' class='xr-var-data-in' type='checkbox'><label for='data-379759a8-d449-4d3b-b4e1-593b28b1741d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, 51.25, 53.75,\n",
       "       56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, 76.25])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3473227b-202d-42b9-bbaf-7ca024bcca8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3473227b-202d-42b9-bbaf-7ca024bcca8e' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>weights_mean</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-702f923f-79c0-4fc8-8da8-353f8f901bd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-702f923f-79c0-4fc8-8da8-353f8f901bd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f4783a6-c48a-44a9-83ad-bed827ebdbaf' class='xr-var-data-in' type='checkbox'><label for='data-9f4783a6-c48a-44a9-83ad-bed827ebdbaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Normalized Model Weights</dd><dt><span>description :</span></dt><dd>(weights_q/weights_i) / sum(weights_q/weights_i)</dd></dl></div><div class='xr-var-data'><pre>array([2.203672e-03, 2.785006e-02, 5.572003e-02, 2.585642e-02, 2.131221e-03,\n",
       "       8.191181e-34, 7.145368e-02, 5.359710e-02, 2.068707e-03, 1.028259e-02,\n",
       "       4.492638e-03, 9.441349e-02, 4.475930e-03, 2.493453e-02, 1.894076e-02,\n",
       "       2.091834e-02, 5.705412e-02, 1.857077e-03, 6.495714e-04, 1.537876e-02,\n",
       "       1.715835e-03, 4.901537e-02, 6.754904e-02, 1.481565e-02, 9.375640e-03,\n",
       "       1.831972e-02, 2.675626e-02, 3.525108e-03, 1.567188e-02, 1.871090e-02,\n",
       "       8.881879e-02, 3.134443e-02, 1.295134e-02, 2.780090e-02, 6.722597e-02,\n",
       "       5.001580e-04, 2.573380e-02, 1.007435e-02, 1.581615e-02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_mean</span></div><div class='xr-var-dims'>(model, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2d8cf28-8e8e-45ab-ae9e-9466648733e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2d8cf28-8e8e-45ab-ae9e-9466648733e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5d41118-1758-44a5-ab6c-df47166a3bdc' class='xr-var-data-in' type='checkbox'><label for='data-d5d41118-1758-44a5-ab6c-df47166a3bdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[2.103373, 2.287965, ..., 1.917087, 1.958743],\n",
       "        [     nan, 1.974348, ..., 1.826744, 1.776284],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]],\n",
       "\n",
       "       [[2.093691, 2.258781, ..., 2.328321, 2.378623],\n",
       "        [     nan, 2.073197, ..., 2.174868, 2.204884],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[2.389409, 2.753989, ..., 2.842447, 2.874321],\n",
       "        [     nan, 2.303737, ..., 2.59729 , 2.713991],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]],\n",
       "\n",
       "       [[2.396722, 2.868493, ..., 2.478379, 2.717089],\n",
       "        [     nan, 2.453534, ..., 2.328503, 2.469573],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas_clim_mean</span></div><div class='xr-var-dims'>(model, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3170503a-790b-4964-8d2b-4080b1cdf7ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3170503a-790b-4964-8d2b-4080b1cdf7ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87472218-a16a-4e1b-9905-d3bbeb6fe854' class='xr-var-data-in' type='checkbox'><label for='data-87472218-a16a-4e1b-9905-d3bbeb6fe854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[12.230162,  8.135651, ...,  9.985025,  6.87873 ],\n",
       "        [      nan, 10.068387, ...,  9.755896,  5.890348],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]],\n",
       "\n",
       "       [[13.274393, 10.221229, ...,  9.40678 ,  6.455026],\n",
       "        [      nan, 11.884038, ...,  9.540399,  5.844847],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[13.861269,  9.438077, ...,  9.964276,  8.392094],\n",
       "        [      nan, 12.740535, ..., 10.124604,  7.004473],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]],\n",
       "\n",
       "       [[11.642253,  7.296957, ...,  8.48186 ,  6.521787],\n",
       "        [      nan,  9.948525, ..., 10.405064,  6.341056],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7d2a498-4945-416e-94c6-1fab4dbfca53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f7d2a498-4945-416e-94c6-1fab4dbfca53' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Normalized Model Weights</dd><dt><span>description :</span></dt><dd>(weights_q/weights_i) / sum(weights_q/weights_i)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (model: 39, lon: 20, lat: 19)\n",
       "Coordinates:\n",
       "  * model          (model) object 'ACCESS-CM2_3_CMIP6' ... 'UKESM1-0-LL_5_CMIP6'\n",
       "  * lon            (lon) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * lat            (lat) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weights_mean   (model) float64 ...\n",
       "    tas_mean       (model, lat, lon) float64 ...\n",
       "    tas_clim_mean  (model, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    units:        1\n",
       "    long_name:    Normalized Model Weights\n",
       "    description:  (weights_q/weights_i) / sum(weights_q/weights_i)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load one of the input for tas\n",
    "ds = xr.open_dataset(datapath / f\"{institution_id}_{method}\"/ \"eur_tas_41-60_djf_cmip6.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
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       "\n",
       ".xr-header {\n",
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       "  padding-bottom: 6px;\n",
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       "}\n",
       "\n",
       ".xr-header > div,\n",
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       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
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       "\n",
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       ".xr-array-name {\n",
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       "\n",
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       "\n",
       ".xr-sections {\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
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       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
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       "\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-summary-in + label:before {\n",
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       "\n",
       ".xr-section-summary,\n",
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       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
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       "\n",
       ".xr-array-wrap {\n",
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
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       "\n",
       ".xr-array-data,\n",
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       "  display: none;\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
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       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
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       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "\n",
       ".xr-var-dtype {\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 2, model: 39, longitude: 20, latitude: 19)\n",
       "Coordinates:\n",
       "  * time       (time) object &#x27;2050-7-16&#x27; &#x27;2051-1-16&#x27;\n",
       "  * model      (model) object &#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1-0-LL_5_CMIP6&#x27;\n",
       "  * longitude  (longitude) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * latitude   (latitude) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weight     (time, model) float64 0.0252 0.02452 0.03283 ... 0.01007 0.01582\n",
       "    tas        (time, model, latitude, longitude) float64 2.232 3.091 ... nan\n",
       "Attributes:\n",
       "    description:  Contains modified ETHZ ClimWIP data used for Atlas in EUCP ...\n",
       "    history:      original ETHZ ClimWIP data files: [&#x27;eur_tas_41-60_jja_cmip6...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-533ac4ff-8b38-4509-b88a-ff0fdaa5e40c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-533ac4ff-8b38-4509-b88a-ff0fdaa5e40c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span class='xr-has-index'>model</span>: 39</li><li><span class='xr-has-index'>longitude</span>: 20</li><li><span class='xr-has-index'>latitude</span>: 19</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ae7af262-78ff-4627-b565-3f3b8e2377e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae7af262-78ff-4627-b565-3f3b8e2377e6' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2050-7-16&#x27; &#x27;2051-1-16&#x27;</div><input id='attrs-98ea57fe-64e4-46d0-a3d3-bbb6aad46cf8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98ea57fe-64e4-46d0-a3d3-bbb6aad46cf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af17eb2d-0f1d-4785-9626-5f67adc655a5' class='xr-var-data-in' type='checkbox'><label for='data-af17eb2d-0f1d-4785-9626-5f67adc655a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2050-7-16&#x27;, &#x27;2051-1-16&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1...</div><input id='attrs-2e6dfae5-7fe7-4723-9f61-101af3124c47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e6dfae5-7fe7-4723-9f61-101af3124c47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e9d796-51e1-4208-a11f-5262c9d2eecb' class='xr-var-data-in' type='checkbox'><label for='data-57e9d796-51e1-4208-a11f-5262c9d2eecb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ACCESS-CM2_3_CMIP6&#x27;, &#x27;ACCESS-ESM1-5_10_CMIP6&#x27;,\n",
       "       &#x27;AWI-CM-1-1-MR_r1i1p1f1_CMIP6&#x27;, &#x27;BCC-CSM2-MR_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CAMS-CSM1-0_2_CMIP6&#x27;, &#x27;CAS-ESM2-0_2_CMIP6&#x27;, &#x27;CESM2-WACCM_3_CMIP6&#x27;,\n",
       "       &#x27;CESM2_5_CMIP6&#x27;, &#x27;CIESM_r1i1p1f1_CMIP6&#x27;, &#x27;CMCC-CM2-SR5_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CMCC-ESM2_r1i1p1f1_CMIP6&#x27;, &#x27;CNRM-CM6-1-HR_r1i1p1f2_CMIP6&#x27;,\n",
       "       &#x27;CNRM-CM6-1_6_CMIP6&#x27;, &#x27;CNRM-ESM2-1_5_CMIP6&#x27;, &#x27;CanESM5-CanOE_3_CMIP6&#x27;,\n",
       "       &#x27;CanESM5_50_CMIP6&#x27;, &#x27;E3SM-1-1_r1i1p1f1_CMIP6&#x27;, &#x27;EC-Earth3-Veg_5_CMIP6&#x27;,\n",
       "       &#x27;EC-Earth3_7_CMIP6&#x27;, &#x27;FGOALS-f3-L_r1i1p1f1_CMIP6&#x27;, &#x27;FGOALS-g3_4_CMIP6&#x27;,\n",
       "       &#x27;FIO-ESM-2-0_3_CMIP6&#x27;, &#x27;GFDL-CM4_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;GFDL-ESM4_r1i1p1f1_CMIP6&#x27;, &#x27;GISS-E2-1-G_6_CMIP6&#x27;,\n",
       "       &#x27;HadGEM3-GC31-LL_4_CMIP6&#x27;, &#x27;HadGEM3-GC31-MM_4_CMIP6&#x27;,\n",
       "       &#x27;INM-CM4-8_r1i1p1f1_CMIP6&#x27;, &#x27;INM-CM5-0_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;IPSL-CM6A-LR_6_CMIP6&#x27;, &#x27;MIROC6_50_CMIP6&#x27;, &#x27;MIROC-ES2L_10_CMIP6&#x27;,\n",
       "       &#x27;MPI-ESM1-2-HR_2_CMIP6&#x27;, &#x27;MPI-ESM1-2-LR_10_CMIP6&#x27;, &#x27;MRI-ESM2-0_2_CMIP6&#x27;,\n",
       "       &#x27;NESM3_2_CMIP6&#x27;, &#x27;NorESM2-MM_r1i1p1f1_CMIP6&#x27;, &#x27;TaiESM1_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;UKESM1-0-LL_5_CMIP6&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.75 -6.25 -3.75 ... 36.25 38.75</div><input id='attrs-01e92ff7-a69f-4a65-9d68-78148f9bfbf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01e92ff7-a69f-4a65-9d68-78148f9bfbf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa71423d-5919-49e0-8a83-d32f4d9189b1' class='xr-var-data-in' type='checkbox'><label for='data-fa71423d-5919-49e0-8a83-d32f4d9189b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-8.75, -6.25, -3.75, -1.25,  1.25,  3.75,  6.25,  8.75, 11.25, 13.75,\n",
       "       16.25, 18.75, 21.25, 23.75, 26.25, 28.75, 31.25, 33.75, 36.25, 38.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.25 33.75 36.25 ... 73.75 76.25</div><input id='attrs-7e9f4fee-9ee8-4a8e-85d7-1ca483bc6c69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e9f4fee-9ee8-4a8e-85d7-1ca483bc6c69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac4d54a9-a109-4d32-8fcf-8eb3d1b9a3ac' class='xr-var-data-in' type='checkbox'><label for='data-ac4d54a9-a109-4d32-8fcf-8eb3d1b9a3ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, 51.25, 53.75,\n",
       "       56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, 76.25])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33279c87-5c25-4264-8ab0-b5fe6847c02b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33279c87-5c25-4264-8ab0-b5fe6847c02b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>weight</span></div><div class='xr-var-dims'>(time, model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dfbb9af9-ee4a-4634-be11-31af146616b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfbb9af9-ee4a-4634-be11-31af146616b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0da51be-8d7b-463d-bcc7-121d280ac188' class='xr-var-data-in' type='checkbox'><label for='data-f0da51be-8d7b-463d-bcc7-121d280ac188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>ClimWIP has a single weighting for a model for the whole domain.ClimWIP weights depend (to a degree) on the composition of the ensemble as the include an independence criterion.</dd><dt><span>standard_name :</span></dt><dd>weight</dd><dt><span>long_name :</span></dt><dd>weight</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[2.520016e-002, 2.451718e-002, 3.282924e-002, 1.442164e-002,\n",
       "        4.598690e-003, 8.157687e-255, 2.091816e-002, 3.078198e-002,\n",
       "        2.008509e-003, 2.214938e-002, 1.384490e-002, 9.122802e-002,\n",
       "        2.322009e-002, 1.232163e-002, 1.136882e-002, 9.425460e-003,\n",
       "        1.411951e-002, 1.065646e-002, 4.336957e-003, 4.823376e-002,\n",
       "        1.770578e-002, 3.746635e-002, 3.439953e-002, 5.280374e-002,\n",
       "        2.722743e-002, 1.340547e-002, 3.100960e-002, 5.846156e-003,\n",
       "        1.951506e-002, 7.259243e-002, 5.355029e-002, 1.013698e-001,\n",
       "        2.290277e-002, 2.420727e-002, 2.161533e-002, 1.601367e-003,\n",
       "        2.213245e-002, 1.571949e-002, 8.749185e-003],\n",
       "       [2.203672e-003, 2.785006e-002, 5.572003e-002, 2.585642e-002,\n",
       "        2.131221e-003, 8.191181e-034, 7.145368e-002, 5.359710e-002,\n",
       "        2.068707e-003, 1.028259e-002, 4.492638e-003, 9.441349e-002,\n",
       "        4.475930e-003, 2.493453e-002, 1.894076e-002, 2.091834e-002,\n",
       "        5.705412e-002, 1.857077e-003, 6.495714e-004, 1.537876e-002,\n",
       "        1.715835e-003, 4.901537e-002, 6.754904e-002, 1.481565e-002,\n",
       "        9.375640e-003, 1.831972e-002, 2.675626e-002, 3.525108e-003,\n",
       "        1.567188e-002, 1.871090e-002, 8.881879e-002, 3.134443e-002,\n",
       "        1.295134e-002, 2.780090e-002, 6.722597e-002, 5.001580e-004,\n",
       "        2.573380e-002, 1.007435e-002, 1.581615e-002]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tas</span></div><div class='xr-var-dims'>(time, model, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-caab8302-7f1c-412b-8da3-78559ab6f942' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-caab8302-7f1c-412b-8da3-78559ab6f942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57b3754c-1769-429f-9c4a-91d78b7d7552' class='xr-var-data-in' type='checkbox'><label for='data-57b3754c-1769-429f-9c4a-91d78b7d7552' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Change in Air Temperature</dd><dt><span>standard_name :</span></dt><dd>Change in Air Temperature</dd><dt><span>long_name :</span></dt><dd>Change in Near-Surface Air Temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean changes over 20 years 2041-2060 vs 1995-2014</dd></dl></div><div class='xr-var-data'><pre>array([[[[2.231913, ..., 3.256254],\n",
       "         ...,\n",
       "         [     nan, ...,      nan]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[2.492914, ..., 4.268284],\n",
       "         ...,\n",
       "         [     nan, ...,      nan]]],\n",
       "\n",
       "\n",
       "       [[[2.103373, ..., 1.958743],\n",
       "         ...,\n",
       "         [     nan, ...,      nan]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[2.396722, ..., 2.717089],\n",
       "         ...,\n",
       "         [     nan, ...,      nan]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e3a0ccf-e715-4432-9ce2-dc0973906868' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e3a0ccf-e715-4432-9ce2-dc0973906868' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Contains modified ETHZ ClimWIP data used for Atlas in EUCP project.</dd><dt><span>history :</span></dt><dd>original ETHZ ClimWIP data files: [&#x27;eur_tas_41-60_jja_cmip6.nc&#x27;, &#x27;eur_tas_41-60_djf_cmip6.nc&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 2, model: 39, longitude: 20, latitude: 19)\n",
       "Coordinates:\n",
       "  * time       (time) object '2050-7-16' '2051-1-16'\n",
       "  * model      (model) object 'ACCESS-CM2_3_CMIP6' ... 'UKESM1-0-LL_5_CMIP6'\n",
       "  * longitude  (longitude) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * latitude   (latitude) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weight     (time, model) float64 ...\n",
       "    tas        (time, model, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    description:  Contains modified ETHZ ClimWIP data used for Atlas in EUCP ...\n",
       "    history:      original ETHZ ClimWIP data files: ['eur_tas_41-60_jja_cmip6..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load output for tas\n",
    "ds = xr.open_dataset(output_path / \"atlas_EUCP_ETHZ_CMIP6_ClimWIP_tas_weights.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (model: 39, lon: 20, lat: 19)\n",
       "Coordinates:\n",
       "  * model         (model) object &#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1-0-LL_5_CMIP6&#x27;\n",
       "  * lon           (lon) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * lat           (lat) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weights_mean  (model) float64 0.003304 0.02843 0.04834 ... 0.0116 0.01741\n",
       "    pr_mean       (model, lat, lon) float64 -0.07589 -0.07077 ... nan nan\n",
       "    pr_clim_mean  (model, lat, lon) float64 0.8607 0.3437 0.1789 ... nan nan nan\n",
       "Attributes:\n",
       "    units:        1\n",
       "    long_name:    Normalized Model Weights\n",
       "    description:  (weights_q/weights_i) / sum(weights_q/weights_i)</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cb31cb0b-2af3-4fa0-a5b4-099514b005da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cb31cb0b-2af3-4fa0-a5b4-099514b005da' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>model</span>: 39</li><li><span class='xr-has-index'>lon</span>: 20</li><li><span class='xr-has-index'>lat</span>: 19</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b49a7c1-04b0-4115-9b1d-7b42a02d134d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b49a7c1-04b0-4115-9b1d-7b42a02d134d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1...</div><input id='attrs-71fc629a-3351-46c6-8d8c-7894d5918e51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71fc629a-3351-46c6-8d8c-7894d5918e51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8dd4d3-96ea-46c0-b536-3a90f10954be' class='xr-var-data-in' type='checkbox'><label for='data-5f8dd4d3-96ea-46c0-b536-3a90f10954be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ACCESS-CM2_3_CMIP6&#x27;, &#x27;ACCESS-ESM1-5_10_CMIP6&#x27;,\n",
       "       &#x27;AWI-CM-1-1-MR_r1i1p1f1_CMIP6&#x27;, &#x27;BCC-CSM2-MR_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CAMS-CSM1-0_2_CMIP6&#x27;, &#x27;CAS-ESM2-0_2_CMIP6&#x27;, &#x27;CESM2-WACCM_3_CMIP6&#x27;,\n",
       "       &#x27;CESM2_5_CMIP6&#x27;, &#x27;CIESM_r1i1p1f1_CMIP6&#x27;, &#x27;CMCC-CM2-SR5_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CMCC-ESM2_r1i1p1f1_CMIP6&#x27;, &#x27;CNRM-CM6-1-HR_r1i1p1f2_CMIP6&#x27;,\n",
       "       &#x27;CNRM-CM6-1_6_CMIP6&#x27;, &#x27;CNRM-ESM2-1_5_CMIP6&#x27;, &#x27;CanESM5-CanOE_3_CMIP6&#x27;,\n",
       "       &#x27;CanESM5_50_CMIP6&#x27;, &#x27;E3SM-1-1_r1i1p1f1_CMIP6&#x27;, &#x27;EC-Earth3-Veg_5_CMIP6&#x27;,\n",
       "       &#x27;EC-Earth3_7_CMIP6&#x27;, &#x27;FGOALS-f3-L_r1i1p1f1_CMIP6&#x27;, &#x27;FGOALS-g3_4_CMIP6&#x27;,\n",
       "       &#x27;FIO-ESM-2-0_3_CMIP6&#x27;, &#x27;GFDL-CM4_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;GFDL-ESM4_r1i1p1f1_CMIP6&#x27;, &#x27;GISS-E2-1-G_6_CMIP6&#x27;,\n",
       "       &#x27;HadGEM3-GC31-LL_4_CMIP6&#x27;, &#x27;HadGEM3-GC31-MM_4_CMIP6&#x27;,\n",
       "       &#x27;INM-CM4-8_r1i1p1f1_CMIP6&#x27;, &#x27;INM-CM5-0_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;IPSL-CM6A-LR_6_CMIP6&#x27;, &#x27;MIROC6_50_CMIP6&#x27;, &#x27;MIROC-ES2L_10_CMIP6&#x27;,\n",
       "       &#x27;MPI-ESM1-2-HR_2_CMIP6&#x27;, &#x27;MPI-ESM1-2-LR_10_CMIP6&#x27;, &#x27;MRI-ESM2-0_2_CMIP6&#x27;,\n",
       "       &#x27;NESM3_2_CMIP6&#x27;, &#x27;NorESM2-MM_r1i1p1f1_CMIP6&#x27;, &#x27;TaiESM1_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;UKESM1-0-LL_5_CMIP6&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.75 -6.25 -3.75 ... 36.25 38.75</div><input id='attrs-3b9a5462-dcf3-45c6-a9ff-efa415aa0a98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b9a5462-dcf3-45c6-a9ff-efa415aa0a98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82b4dc70-dbc7-4807-a2a0-1d76280923da' class='xr-var-data-in' type='checkbox'><label for='data-82b4dc70-dbc7-4807-a2a0-1d76280923da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-8.75, -6.25, -3.75, -1.25,  1.25,  3.75,  6.25,  8.75, 11.25, 13.75,\n",
       "       16.25, 18.75, 21.25, 23.75, 26.25, 28.75, 31.25, 33.75, 36.25, 38.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.25 33.75 36.25 ... 73.75 76.25</div><input id='attrs-5b7cd067-15e8-46c8-ba4b-8e690db04645' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b7cd067-15e8-46c8-ba4b-8e690db04645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43ff4f8c-7405-46d6-8611-aafe21aad619' class='xr-var-data-in' type='checkbox'><label for='data-43ff4f8c-7405-46d6-8611-aafe21aad619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, 51.25, 53.75,\n",
       "       56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, 76.25])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0d4945a-b7b0-48e0-9d0c-cc78dcf9918f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0d4945a-b7b0-48e0-9d0c-cc78dcf9918f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>weights_mean</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e7653c72-e05a-4c5d-b223-7ef3b2c045fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7653c72-e05a-4c5d-b223-7ef3b2c045fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3fe623d-8e09-43ef-a415-01c1f92975f4' class='xr-var-data-in' type='checkbox'><label for='data-f3fe623d-8e09-43ef-a415-01c1f92975f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Normalized Model Weights</dd><dt><span>description :</span></dt><dd>(weights_q/weights_i) / sum(weights_q/weights_i)</dd></dl></div><div class='xr-var-data'><pre>array([3.303849e-03, 2.843104e-02, 4.833693e-02, 2.944046e-02, 3.246279e-03,\n",
       "       1.011192e-28, 5.928703e-02, 4.673084e-02, 3.104394e-03, 1.193102e-02,\n",
       "       5.851946e-03, 8.606875e-02, 6.217182e-03, 2.610118e-02, 2.174705e-02,\n",
       "       2.364845e-02, 5.677218e-02, 2.932773e-03, 1.217403e-03, 1.952538e-02,\n",
       "       3.148764e-03, 4.285074e-02, 5.949929e-02, 1.621630e-02, 1.229187e-02,\n",
       "       1.918079e-02, 2.714790e-02, 5.398849e-03, 1.825044e-02, 2.209209e-02,\n",
       "       9.386905e-02, 3.974215e-02, 1.404563e-02, 2.713368e-02, 6.032874e-02,\n",
       "       9.377210e-04, 2.496003e-02, 1.160380e-02, 1.740804e-02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_mean</span></div><div class='xr-var-dims'>(model, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-873f4b23-17ea-4c2f-8dd1-40e4b153871d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-873f4b23-17ea-4c2f-8dd1-40e4b153871d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d439b93-322c-4478-9e8e-887fb8ed1ff2' class='xr-var-data-in' type='checkbox'><label for='data-4d439b93-322c-4478-9e8e-887fb8ed1ff2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-0.075894, -0.070767, ...,  0.016252, -0.002391],\n",
       "        [      nan, -0.103902, ..., -0.127522,  0.013023],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]],\n",
       "\n",
       "       [[-0.047934, -0.017196, ..., -0.00797 ,  0.009231],\n",
       "        [      nan, -0.119291, ..., -0.185786, -0.005798],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[-0.052321, -0.00954 , ..., -0.102322,  0.008045],\n",
       "        [      nan, -0.077557, ..., -0.379336, -0.081036],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]],\n",
       "\n",
       "       [[-0.215493, -0.075318, ..., -0.038945,  0.023679],\n",
       "        [      nan, -0.329018, ..., -0.088817,  0.006283],\n",
       "        ...,\n",
       "        [      nan,       nan, ...,       nan,       nan],\n",
       "        [      nan,       nan, ...,       nan,       nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr_clim_mean</span></div><div class='xr-var-dims'>(model, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9288c0f-0cfb-4643-b957-d42a144dd500' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9288c0f-0cfb-4643-b957-d42a144dd500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa5c7a6e-2197-4ef9-921d-a1e08fa87970' class='xr-var-data-in' type='checkbox'><label for='data-fa5c7a6e-2197-4ef9-921d-a1e08fa87970' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.860672, 0.34372 , ..., 1.575134, 0.27534 ],\n",
       "        [     nan, 1.54481 , ..., 2.53864 , 0.562737],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]],\n",
       "\n",
       "       [[0.342087, 0.149714, ..., 1.150265, 0.222657],\n",
       "        [     nan, 0.890022, ..., 2.297239, 0.59561 ],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.460935, 0.213214, ..., 0.718297, 0.249008],\n",
       "        [     nan, 0.895079, ..., 2.199653, 0.692143],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]],\n",
       "\n",
       "       [[0.683457, 0.276002, ..., 0.523105, 0.11687 ],\n",
       "        [     nan, 1.512388, ..., 2.052557, 0.338477],\n",
       "        ...,\n",
       "        [     nan,      nan, ...,      nan,      nan],\n",
       "        [     nan,      nan, ...,      nan,      nan]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-67f03828-897a-41c3-adb8-938ce593708c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67f03828-897a-41c3-adb8-938ce593708c' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>Normalized Model Weights</dd><dt><span>description :</span></dt><dd>(weights_q/weights_i) / sum(weights_q/weights_i)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (model: 39, lon: 20, lat: 19)\n",
       "Coordinates:\n",
       "  * model         (model) object 'ACCESS-CM2_3_CMIP6' ... 'UKESM1-0-LL_5_CMIP6'\n",
       "  * lon           (lon) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * lat           (lat) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weights_mean  (model) float64 ...\n",
       "    pr_mean       (model, lat, lon) float64 ...\n",
       "    pr_clim_mean  (model, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    units:        1\n",
       "    long_name:    Normalized Model Weights\n",
       "    description:  (weights_q/weights_i) / sum(weights_q/weights_i)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load one of the input for pr\n",
    "ds = xr.open_dataset(datapath / f\"{institution_id}_{method}\"/ \"eur_pr_41-60_djf_cmip6.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-icon-database,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 2, model: 39, longitude: 20, latitude: 19)\n",
       "Coordinates:\n",
       "  * time       (time) object &#x27;2050-7-16&#x27; &#x27;2051-1-16&#x27;\n",
       "  * model      (model) object &#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1-0-LL_5_CMIP6&#x27;\n",
       "  * longitude  (longitude) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * latitude   (latitude) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weight     (time, model) float64 0.01991 0.02208 0.01774 ... 0.0116 0.01741\n",
       "    pr         (time, model, latitude, longitude) float64 -16.79 -16.71 ... nan\n",
       "Attributes:\n",
       "    description:  Contains modified ETHZ ClimWIP data used for Atlas in EUCP ...\n",
       "    history:      original ETHZ ClimWIP data files: [&#x27;eur_pr_41-60_jja_cmip6....</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e24bbbb0-1c2a-4af8-8d5f-e7b11e9e09bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e24bbbb0-1c2a-4af8-8d5f-e7b11e9e09bc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2</li><li><span class='xr-has-index'>model</span>: 39</li><li><span class='xr-has-index'>longitude</span>: 20</li><li><span class='xr-has-index'>latitude</span>: 19</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-658a1928-77b8-4f54-9a06-43e3aab184c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-658a1928-77b8-4f54-9a06-43e3aab184c5' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;2050-7-16&#x27; &#x27;2051-1-16&#x27;</div><input id='attrs-dd2d1091-fbae-4c8f-9654-068b2e1c47a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd2d1091-fbae-4c8f-9654-068b2e1c47a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-934f5821-92a6-4915-a7c8-bd17a0d29030' class='xr-var-data-in' type='checkbox'><label for='data-934f5821-92a6-4915-a7c8-bd17a0d29030' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2050-7-16&#x27;, &#x27;2051-1-16&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>model</span></div><div class='xr-var-dims'>(model)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;ACCESS-CM2_3_CMIP6&#x27; ... &#x27;UKESM1...</div><input id='attrs-708216f5-02e5-49af-9709-c5b74e86614f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-708216f5-02e5-49af-9709-c5b74e86614f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7fe5fd9-9280-4694-bb69-7ff0353f7610' class='xr-var-data-in' type='checkbox'><label for='data-a7fe5fd9-9280-4694-bb69-7ff0353f7610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;ACCESS-CM2_3_CMIP6&#x27;, &#x27;ACCESS-ESM1-5_10_CMIP6&#x27;,\n",
       "       &#x27;AWI-CM-1-1-MR_r1i1p1f1_CMIP6&#x27;, &#x27;BCC-CSM2-MR_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CAMS-CSM1-0_2_CMIP6&#x27;, &#x27;CAS-ESM2-0_2_CMIP6&#x27;, &#x27;CESM2-WACCM_3_CMIP6&#x27;,\n",
       "       &#x27;CESM2_5_CMIP6&#x27;, &#x27;CIESM_r1i1p1f1_CMIP6&#x27;, &#x27;CMCC-CM2-SR5_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;CMCC-ESM2_r1i1p1f1_CMIP6&#x27;, &#x27;CNRM-CM6-1-HR_r1i1p1f2_CMIP6&#x27;,\n",
       "       &#x27;CNRM-CM6-1_6_CMIP6&#x27;, &#x27;CNRM-ESM2-1_5_CMIP6&#x27;, &#x27;CanESM5-CanOE_3_CMIP6&#x27;,\n",
       "       &#x27;CanESM5_50_CMIP6&#x27;, &#x27;E3SM-1-1_r1i1p1f1_CMIP6&#x27;, &#x27;EC-Earth3-Veg_5_CMIP6&#x27;,\n",
       "       &#x27;EC-Earth3_7_CMIP6&#x27;, &#x27;FGOALS-f3-L_r1i1p1f1_CMIP6&#x27;, &#x27;FGOALS-g3_4_CMIP6&#x27;,\n",
       "       &#x27;FIO-ESM-2-0_3_CMIP6&#x27;, &#x27;GFDL-CM4_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;GFDL-ESM4_r1i1p1f1_CMIP6&#x27;, &#x27;GISS-E2-1-G_6_CMIP6&#x27;,\n",
       "       &#x27;HadGEM3-GC31-LL_4_CMIP6&#x27;, &#x27;HadGEM3-GC31-MM_4_CMIP6&#x27;,\n",
       "       &#x27;INM-CM4-8_r1i1p1f1_CMIP6&#x27;, &#x27;INM-CM5-0_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;IPSL-CM6A-LR_6_CMIP6&#x27;, &#x27;MIROC6_50_CMIP6&#x27;, &#x27;MIROC-ES2L_10_CMIP6&#x27;,\n",
       "       &#x27;MPI-ESM1-2-HR_2_CMIP6&#x27;, &#x27;MPI-ESM1-2-LR_10_CMIP6&#x27;, &#x27;MRI-ESM2-0_2_CMIP6&#x27;,\n",
       "       &#x27;NESM3_2_CMIP6&#x27;, &#x27;NorESM2-MM_r1i1p1f1_CMIP6&#x27;, &#x27;TaiESM1_r1i1p1f1_CMIP6&#x27;,\n",
       "       &#x27;UKESM1-0-LL_5_CMIP6&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-8.75 -6.25 -3.75 ... 36.25 38.75</div><input id='attrs-384ef63f-d543-4666-bee2-7c6589c73ab1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-384ef63f-d543-4666-bee2-7c6589c73ab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61e85086-6202-4777-9348-ceedff3a9bad' class='xr-var-data-in' type='checkbox'><label for='data-61e85086-6202-4777-9348-ceedff3a9bad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-8.75, -6.25, -3.75, -1.25,  1.25,  3.75,  6.25,  8.75, 11.25, 13.75,\n",
       "       16.25, 18.75, 21.25, 23.75, 26.25, 28.75, 31.25, 33.75, 36.25, 38.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>31.25 33.75 36.25 ... 73.75 76.25</div><input id='attrs-a0a57fc3-c70f-4a45-9622-860fc286f597' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0a57fc3-c70f-4a45-9622-860fc286f597' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b897016-c6d2-4eaf-9542-cfebe53bb834' class='xr-var-data-in' type='checkbox'><label for='data-0b897016-c6d2-4eaf-9542-cfebe53bb834' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([31.25, 33.75, 36.25, 38.75, 41.25, 43.75, 46.25, 48.75, 51.25, 53.75,\n",
       "       56.25, 58.75, 61.25, 63.75, 66.25, 68.75, 71.25, 73.75, 76.25])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb404205-f705-4d8d-9cf4-0002e2a80f97' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb404205-f705-4d8d-9cf4-0002e2a80f97' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>weight</span></div><div class='xr-var-dims'>(time, model)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5234713-5ace-4318-99c3-0064cf2c7990' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5234713-5ace-4318-99c3-0064cf2c7990' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa455fc5-3b5e-4f84-a211-8cc937936600' class='xr-var-data-in' type='checkbox'><label for='data-aa455fc5-3b5e-4f84-a211-8cc937936600' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>ClimWIP has a single weighting for a model for the whole domain.ClimWIP weights depend (to a degree) on the composition of the ensemble as the include an independence criterion.</dd><dt><span>standard_name :</span></dt><dd>weight</dd><dt><span>long_name :</span></dt><dd>weight</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[1.991339e-02, 2.207641e-02, 1.774381e-02, 3.330840e-02, 1.564971e-02,\n",
       "        5.626190e-46, 1.600665e-02, 1.744236e-02, 1.224163e-02, 1.846655e-02,\n",
       "        1.561853e-02, 4.234815e-02, 2.375214e-02, 2.035736e-02, 2.580368e-02,\n",
       "        2.502541e-02, 3.178239e-02, 1.948225e-02, 1.696608e-02, 4.697302e-02,\n",
       "        4.334636e-02, 1.699698e-02, 2.269545e-02, 2.147054e-02, 3.336136e-02,\n",
       "        1.602870e-02, 2.155364e-02, 2.543754e-02, 2.607617e-02, 4.072798e-02,\n",
       "        7.887516e-02, 9.557893e-02, 1.584438e-02, 1.743237e-02, 2.296497e-02,\n",
       "        1.152052e-02, 1.559040e-02, 1.646923e-02, 1.707137e-02],\n",
       "       [3.303849e-03, 2.843104e-02, 4.833693e-02, 2.944046e-02, 3.246279e-03,\n",
       "        1.011192e-28, 5.928703e-02, 4.673084e-02, 3.104394e-03, 1.193102e-02,\n",
       "        5.851946e-03, 8.606875e-02, 6.217182e-03, 2.610118e-02, 2.174705e-02,\n",
       "        2.364845e-02, 5.677218e-02, 2.932773e-03, 1.217403e-03, 1.952538e-02,\n",
       "        3.148764e-03, 4.285074e-02, 5.949929e-02, 1.621630e-02, 1.229187e-02,\n",
       "        1.918079e-02, 2.714790e-02, 5.398849e-03, 1.825044e-02, 2.209209e-02,\n",
       "        9.386905e-02, 3.974215e-02, 1.404563e-02, 2.713368e-02, 6.032874e-02,\n",
       "        9.377210e-04, 2.496003e-02, 1.160380e-02, 1.740804e-02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, model, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12f2a335-c707-4350-bacb-c73b6c0c39cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12f2a335-c707-4350-bacb-c73b6c0c39cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceb74b43-6708-4577-bc26-3115e23062bc' class='xr-var-data-in' type='checkbox'><label for='data-ceb74b43-6708-4577-bc26-3115e23062bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Relative precipitation</dd><dt><span>standard_name :</span></dt><dd>Relative precipitation</dd><dt><span>long_name :</span></dt><dd>Relative precipitation</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>time: mean changes over 20 years 2041-2060 vs 1995-2014</dd></dl></div><div class='xr-var-data'><pre>array([[[[-16.791792, ...,  94.650276],\n",
       "         ...,\n",
       "         [       nan, ...,        nan]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-33.031415, ...,  62.632592],\n",
       "         ...,\n",
       "         [       nan, ...,        nan]]],\n",
       "\n",
       "\n",
       "       [[[ -8.818017, ...,  -0.868507],\n",
       "         ...,\n",
       "         [       nan, ...,        nan]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[-31.529864, ...,  20.260803],\n",
       "         ...,\n",
       "         [       nan, ...,        nan]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c8c0904-c383-47e3-a440-d254e3c31997' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c8c0904-c383-47e3-a440-d254e3c31997' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>Contains modified ETHZ ClimWIP data used for Atlas in EUCP project.</dd><dt><span>history :</span></dt><dd>original ETHZ ClimWIP data files: [&#x27;eur_pr_41-60_jja_cmip6.nc&#x27;, &#x27;eur_pr_41-60_djf_cmip6.nc&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 2, model: 39, longitude: 20, latitude: 19)\n",
       "Coordinates:\n",
       "  * time       (time) object '2050-7-16' '2051-1-16'\n",
       "  * model      (model) object 'ACCESS-CM2_3_CMIP6' ... 'UKESM1-0-LL_5_CMIP6'\n",
       "  * longitude  (longitude) float64 -8.75 -6.25 -3.75 -1.25 ... 33.75 36.25 38.75\n",
       "  * latitude   (latitude) float64 31.25 33.75 36.25 38.75 ... 71.25 73.75 76.25\n",
       "Data variables:\n",
       "    weight     (time, model) float64 ...\n",
       "    pr         (time, model, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    description:  Contains modified ETHZ ClimWIP data used for Atlas in EUCP ...\n",
       "    history:      original ETHZ ClimWIP data files: ['eur_pr_41-60_jja_cmip6...."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load output for pr\n",
    "ds = xr.open_dataset(output_path / \"atlas_EUCP_ETHZ_CMIP6_ClimWIP_pr_weights.nc\")\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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