Repository: bird-house/finch (language: python)

Issue:
Upgrade xclim to 0.32.1



Discussion / hints:

Fix patch:
diff --git a/CHANGES.rst b/CHANGES.rst
index 0137032c..b788e0a9 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -5,6 +5,10 @@ Changes
 ==================
 * Fix use of ``output_name``, add ``output_format`` to xclim indicators.
 * Change all outputs to use ``output`` as the main output field name (instead of ``output_netcdf``).
+* Updated to xclim 0.37:
+
+    - Percentile inputs of xclim indicators have been renamed with generic names, excluding an explicit mention to the target percentile.
+    - In ensemble processes, these percentiles can now be chosen through ``perc_[var]`` inputs. The default values are inherited from earlier versions of xclim.
 * Average shape process downgraded to be single-threaded, as ESMF seems to have issues with multithreading.
 
 0.8.3 (2022-04-21)
diff --git a/docs/source/notebooks/dap_subset.ipynb b/docs/source/notebooks/dap_subset.ipynb
index bb540902..09d225f9 100644
--- a/docs/source/notebooks/dap_subset.ipynb
+++ b/docs/source/notebooks/dap_subset.ipynb
@@ -17,10 +17,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:13.027382Z",
-     "iopub.status.busy": "2022-06-23T16:02:13.026601Z",
-     "iopub.status.idle": "2022-06-23T16:02:16.129010Z",
-     "shell.execute_reply": "2022-06-23T16:02:16.127739Z"
+     "iopub.execute_input": "2022-06-23T18:55:27.338299Z",
+     "iopub.status.busy": "2022-06-23T18:55:27.336631Z",
+     "iopub.status.idle": "2022-06-23T18:55:30.147440Z",
+     "shell.execute_reply": "2022-06-23T18:55:30.146982Z"
     }
    },
    "outputs": [],
@@ -43,10 +43,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:16.135269Z",
-     "iopub.status.busy": "2022-06-23T16:02:16.134668Z",
-     "iopub.status.idle": "2022-06-23T16:02:16.906011Z",
-     "shell.execute_reply": "2022-06-23T16:02:16.905152Z"
+     "iopub.execute_input": "2022-06-23T18:55:30.150970Z",
+     "iopub.status.busy": "2022-06-23T18:55:30.150550Z",
+     "iopub.status.idle": "2022-06-23T18:55:30.777472Z",
+     "shell.execute_reply": "2022-06-23T18:55:30.777877Z"
     }
    },
    "outputs": [
@@ -429,24 +429,24 @@
        "    Conventions:    CF-1.0\n",
        "    id:             pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da\n",
        "    history:        Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -...\n",
-       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-8ce9af70-3f72-4947-99c0-b3c86baab889' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8ce9af70-3f72-4947-99c0-b3c86baab889' 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'>lat</span>: 6</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 7</li><li><span class='xr-has-index'>time</span>: 7200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57fa1dca-5a6c-40c8-97f4-e9cc976dc6de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57fa1dca-5a6c-40c8-97f4-e9cc976dc6de' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-b5fbeae4-9c11-490a-9922-67331c31b185' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5fbeae4-9c11-490a-9922-67331c31b185' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8376a41b-9d4b-46d5-ba3c-fcccc9a66a05' class='xr-var-data-in' type='checkbox'><label for='data-8376a41b-9d4b-46d5-ba3c-fcccc9a66a05' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-ee78079b-6587-46ff-a7e9-c5ef7d299c91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee78079b-6587-46ff-a7e9-c5ef7d299c91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf007eaa-1aa6-4751-95c2-e3d59407d6d9' class='xr-var-data-in' type='checkbox'><label for='data-bf007eaa-1aa6-4751-95c2-e3d59407d6d9' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li><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'>2046-01-01 12:00:00 ... 2065-12-...</div><input id='attrs-672fac00-4e7f-4269-ba35-812ba046dd38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-672fac00-4e7f-4269-ba35-812ba046dd38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc354973-e68d-42d2-82d9-7d08bb5df95a' class='xr-var-data-in' type='checkbox'><label for='data-bc354973-e68d-42d2-82d9-7d08bb5df95a' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2046, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-f7f6e959-5f3a-44bd-b447-962f79686802' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7f6e959-5f3a-44bd-b447-962f79686802' 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'>lat</span>: 6</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 7</li><li><span class='xr-has-index'>time</span>: 7200</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9af41ead-b5a4-42dc-a20b-9407c760c4d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9af41ead-b5a4-42dc-a20b-9407c760c4d2' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-f4e80a17-b1c9-4543-8357-d9588b043be5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e80a17-b1c9-4543-8357-d9588b043be5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba75147e-6933-4d7d-908c-b1188bd65a49' class='xr-var-data-in' type='checkbox'><label for='data-ba75147e-6933-4d7d-908c-b1188bd65a49' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-3ffb4c98-07c1-406a-8fec-cd41a8ac620f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ffb4c98-07c1-406a-8fec-cd41a8ac620f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-506690e9-f877-4aaf-a468-bd2bbc3445f1' class='xr-var-data-in' type='checkbox'><label for='data-506690e9-f877-4aaf-a468-bd2bbc3445f1' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li><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'>2046-01-01 12:00:00 ... 2065-12-...</div><input id='attrs-0bb5a5c4-dddf-4ca9-b014-4e8f7b231c17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bb5a5c4-dddf-4ca9-b014-4e8f7b231c17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54561cc0-c076-43d6-a973-4ee9221de999' class='xr-var-data-in' type='checkbox'><label for='data-54561cc0-c076-43d6-a973-4ee9221de999' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2046, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2046, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2046, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
        "       cftime.Datetime360Day(2065, 12, 28, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2065, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2065, 12, 30, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe7b8284-01dc-4fee-8ac4-17df2d964b1b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe7b8284-01dc-4fee-8ac4-17df2d964b1b' class='xr-section-summary' >Data variables: <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>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-84f84341-76ca-4db6-837b-438e223562b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84f84341-76ca-4db6-837b-438e223562b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3efd6821-5464-4404-810d-bea9c185d3eb' class='xr-var-data-in' type='checkbox'><label for='data-3efd6821-5464-4404-810d-bea9c185d3eb' 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>_ChunkSizes :</span></dt><dd>[6 2]</dd></dl></div><div class='xr-var-data'><pre>array([[40.822107, 44.533081],\n",
+       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-786899a4-fb2a-4fd2-8b1c-4ab674dd1ba4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-786899a4-fb2a-4fd2-8b1c-4ab674dd1ba4' class='xr-section-summary' >Data variables: <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>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0dc42927-b914-42a7-b52e-119a2adf7baf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dc42927-b914-42a7-b52e-119a2adf7baf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa23e819-832f-4b70-82cb-2f5bb1d47c6a' class='xr-var-data-in' type='checkbox'><label for='data-aa23e819-832f-4b70-82cb-2f5bb1d47c6a' 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>_ChunkSizes :</span></dt><dd>[6 2]</dd></dl></div><div class='xr-var-data'><pre>array([[40.822107, 44.533081],\n",
        "       [44.533081, 48.244005],\n",
        "       [48.244005, 51.954863],\n",
        "       [51.954863, 55.665632],\n",
        "       [55.665632, 59.376282],\n",
-       "       [59.376282, 63.08676 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a4337bd-2daf-4636-8f13-1d465bbe3738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a4337bd-2daf-4636-8f13-1d465bbe3738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e469b9a0-2ad6-408d-848c-0eb53e5da58e' class='xr-var-data-in' type='checkbox'><label for='data-e469b9a0-2ad6-408d-848c-0eb53e5da58e' 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>_ChunkSizes :</span></dt><dd>[7 2]</dd></dl></div><div class='xr-var-data'><pre>array([[279.375, 283.125],\n",
+       "       [59.376282, 63.08676 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dffdf527-0bc8-40e4-a3fc-433c19bf04bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dffdf527-0bc8-40e4-a3fc-433c19bf04bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aba37b02-2db1-4d84-92cd-f57527582aea' class='xr-var-data-in' type='checkbox'><label for='data-aba37b02-2db1-4d84-92cd-f57527582aea' 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>_ChunkSizes :</span></dt><dd>[7 2]</dd></dl></div><div class='xr-var-data'><pre>array([[279.375, 283.125],\n",
        "       [283.125, 286.875],\n",
        "       [286.875, 290.625],\n",
        "       [290.625, 294.375],\n",
        "       [294.375, 298.125],\n",
        "       [298.125, 301.875],\n",
-       "       [301.875, 305.625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a76596e9-4824-427a-addd-7b79bd64fd34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a76596e9-4824-427a-addd-7b79bd64fd34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87bd5fbe-5ba8-4948-8ef7-7bdcf090f3f4' class='xr-var-data-in' type='checkbox'><label for='data-87bd5fbe-5ba8-4948-8ef7-7bdcf090f3f4' 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>_ChunkSizes :</span></dt><dd>[7200    2]</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.Datetime360Day(2046, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       [301.875, 305.625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-058a8682-fb0f-48b7-b938-2bb26a02b9e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-058a8682-fb0f-48b7-b938-2bb26a02b9e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d69572c-3080-4ffb-9fc7-d061d3fb08e0' class='xr-var-data-in' type='checkbox'><label for='data-3d69572c-3080-4ffb-9fc7-d061d3fb08e0' 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>_ChunkSizes :</span></dt><dd>[7200    2]</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.Datetime360Day(2046, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "        cftime.Datetime360Day(2046, 1, 2, 0, 0, 0, 0, has_year_zero=True)],\n",
        "       [cftime.Datetime360Day(2046, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
        "        cftime.Datetime360Day(2046, 1, 3, 0, 0, 0, 0, has_year_zero=True)],\n",
@@ -459,7 +459,7 @@
        "        cftime.Datetime360Day(2065, 12, 30, 0, 0, 0, 0, has_year_zero=True)],\n",
        "       [cftime.Datetime360Day(2065, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
        "        cftime.Datetime360Day(2066, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7c7ae21-7e2f-4dc6-b757-a0b759a33a7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7c7ae21-7e2f-4dc6-b757-a0b759a33a7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39ca68f7-a47b-4c41-9797-a5fbbed9d413' class='xr-var-data-in' type='checkbox'><label for='data-39ca68f7-a47b-4c41-9797-a5fbbed9d413' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>[302400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac50cb87-2f6a-4d81-a2fb-bbf9a2a894f3' class='xr-section-summary-in' type='checkbox'  ><label for='section-ac50cb87-2f6a-4d81-a2fb-bbf9a2a894f3' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbde19f6-4b53-4f57-97ca-ba50f7848a90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbde19f6-4b53-4f57-97ca-ba50f7848a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ad43fce-78e8-4cc8-bdb6-50125a9c38a8' class='xr-var-data-in' type='checkbox'><label for='data-4ad43fce-78e8-4cc8-bdb6-50125a9c38a8' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>[302400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5195611f-55d2-4081-aea0-972cf32dd870' class='xr-section-summary-in' type='checkbox'  ><label for='section-5195611f-55d2-4081-aea0-972cf32dd870' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
        "Model raw diagnostic output;  At 21:54:41 on 06/22/2005, CMOR rewrote data to comply with CF standards and IPCC Fourth Assessment requirements [2006-4-5 21:36:54] cdscan -x /var/www/html/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -d pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da --exclude=plev --ignore-open-error --var-locate ps,ps_.* -f /tmp/scan/list.pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm ...</dd><dt><span>NCO :</span></dt><dd>4.0.9</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -508,10 +508,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:16.931241Z",
-     "iopub.status.busy": "2022-06-23T16:02:16.930963Z",
-     "iopub.status.idle": "2022-06-23T16:02:16.953401Z",
-     "shell.execute_reply": "2022-06-23T16:02:16.952485Z"
+     "iopub.execute_input": "2022-06-23T18:55:30.793549Z",
+     "iopub.status.busy": "2022-06-23T18:55:30.793083Z",
+     "iopub.status.idle": "2022-06-23T18:55:30.795782Z",
+     "shell.execute_reply": "2022-06-23T18:55:30.795362Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -561,10 +561,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:16.957617Z",
-     "iopub.status.busy": "2022-06-23T16:02:16.957282Z",
-     "iopub.status.idle": "2022-06-23T16:02:17.217201Z",
-     "shell.execute_reply": "2022-06-23T16:02:17.216478Z"
+     "iopub.execute_input": "2022-06-23T18:55:30.972224Z",
+     "iopub.status.busy": "2022-06-23T18:55:30.970805Z",
+     "iopub.status.idle": "2022-06-23T18:55:31.058118Z",
+     "shell.execute_reply": "2022-06-23T18:55:31.056899Z"
     }
    },
    "outputs": [
@@ -940,7 +940,7 @@
        "    Conventions:    CF-1.0\n",
        "    id:             pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da\n",
        "    history:        Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -...\n",
-       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-626cda00-a829-41d7-a850-7316dcf251c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-626cda00-a829-41d7-a850-7316dcf251c5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>time</span>: 1</li><li><span>lat</span>: 6</li><li><span>lon</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c656faa2-8356-40ab-8ccc-7e68e52d5177' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c656faa2-8356-40ab-8ccc-7e68e52d5177' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-66a615e3-c297-4f99-b11c-e96d04e911d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66a615e3-c297-4f99-b11c-e96d04e911d4' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80b0e0e2-63db-4211-963c-bc2ba9caa286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80b0e0e2-63db-4211-963c-bc2ba9caa286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33a7d545-8846-4ab4-b955-bbe991b8f907' class='xr-var-data-in' type='checkbox'><label for='data-33a7d545-8846-4ab4-b955-bbe991b8f907' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[3.415346e-05, 2.171099e-05, 1.613796e-05, 4.132092e-05,\n",
+       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-58b9d5e6-3369-4700-a054-e8ae7defc50a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-58b9d5e6-3369-4700-a054-e8ae7defc50a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>time</span>: 1</li><li><span>lat</span>: 6</li><li><span>lon</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-45789236-a832-4466-8afd-76a330170716' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-45789236-a832-4466-8afd-76a330170716' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ffee9e4d-189f-4895-8630-a1daf4ff6f4a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ffee9e4d-189f-4895-8630-a1daf4ff6f4a' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-deecc1f2-f546-41ac-a507-c943b5e3c213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deecc1f2-f546-41ac-a507-c943b5e3c213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-849fff7a-0b64-47a9-8c1b-6de230546adb' class='xr-var-data-in' type='checkbox'><label for='data-849fff7a-0b64-47a9-8c1b-6de230546adb' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[3.415346e-05, 2.171099e-05, 1.613796e-05, 4.132092e-05,\n",
        "         3.208220e-05, 5.155802e-06, 2.011657e-06],\n",
        "        [6.732345e-05, 6.915629e-05, 4.905462e-05, 1.920760e-05,\n",
        "         1.399219e-05, 3.948808e-06, 3.293157e-06],\n",
@@ -951,7 +951,7 @@
        "        [2.771616e-06, 0.000000e+00, 2.980232e-08, 1.490116e-08,\n",
        "         0.000000e+00, 1.659989e-05, 2.242625e-05],\n",
        "        [0.000000e+00, 1.043081e-06, 5.215406e-07, 0.000000e+00,\n",
-       "         3.710389e-06, 1.209974e-05, 1.022220e-05]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-917ef067-a498-4de7-8805-60b5bb0ddd21' class='xr-section-summary-in' type='checkbox'  ><label for='section-917ef067-a498-4de7-8805-60b5bb0ddd21' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
+       "         3.710389e-06, 1.209974e-05, 1.022220e-05]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e11444ef-e0fb-471a-b3c1-74ae600ff23c' class='xr-section-summary-in' type='checkbox'  ><label for='section-e11444ef-e0fb-471a-b3c1-74ae600ff23c' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
        "Model raw diagnostic output;  At 21:54:41 on 06/22/2005, CMOR rewrote data to comply with CF standards and IPCC Fourth Assessment requirements [2006-4-5 21:36:54] cdscan -x /var/www/html/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -d pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da --exclude=plev --ignore-open-error --var-locate ps,ps_.* -f /tmp/scan/list.pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm ...</dd><dt><span>NCO :</span></dt><dd>4.0.9</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -998,10 +998,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:17.221766Z",
-     "iopub.status.busy": "2022-06-23T16:02:17.220401Z",
-     "iopub.status.idle": "2022-06-23T16:02:17.679240Z",
-     "shell.execute_reply": "2022-06-23T16:02:17.678159Z"
+     "iopub.execute_input": "2022-06-23T18:55:31.266995Z",
+     "iopub.status.busy": "2022-06-23T18:55:31.265354Z",
+     "iopub.status.idle": "2022-06-23T18:55:31.514366Z",
+     "shell.execute_reply": "2022-06-23T18:55:31.513939Z"
     }
    },
    "outputs": [
@@ -1380,8 +1380,8 @@
        "    Conventions:    CF-1.0\n",
        "    id:             pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da\n",
        "    history:        Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -...\n",
-       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-e5e7dce0-ae4d-41d3-b240-cdbb712baa66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e5e7dce0-ae4d-41d3-b240-cdbb712baa66' 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'>lat</span>: 6</li><li><span class='xr-has-index'>lon</span>: 7</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-03bf89b1-060b-4fde-94bc-0f04acc3dad2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03bf89b1-060b-4fde-94bc-0f04acc3dad2' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-811cd8a0-cf17-467c-aa54-357a506ee66a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-811cd8a0-cf17-467c-aa54-357a506ee66a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a26c294-1e1a-4a01-986c-26d65c51921c' class='xr-var-data-in' type='checkbox'><label for='data-7a26c294-1e1a-4a01-986c-26d65c51921c' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-57eacc5e-d452-4c57-a720-9ba6f050f147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57eacc5e-d452-4c57-a720-9ba6f050f147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b3ccc07-35e5-4a2e-ace0-4617cf05ea54' class='xr-var-data-in' type='checkbox'><label for='data-3b3ccc07-35e5-4a2e-ace0-4617cf05ea54' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li><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'>2046-01-01 12:00:00</div><input id='attrs-8f085108-0ce5-4462-8da1-be204e04d263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f085108-0ce5-4462-8da1-be204e04d263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c1a48b1-2934-4f53-86b2-57fcaa49e2d3' class='xr-var-data-in' type='checkbox'><label for='data-8c1a48b1-2934-4f53-86b2-57fcaa49e2d3' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2046, 1, 1, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e0e52cc-10da-42e7-80e4-d689e8205cfb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e0e52cc-10da-42e7-80e4-d689e8205cfb' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-095e8a3f-7800-4373-9f6b-5dd1bc5c1ccb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-095e8a3f-7800-4373-9f6b-5dd1bc5c1ccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31e36212-c766-4894-8f29-85b00c856ff8' class='xr-var-data-in' type='checkbox'><label for='data-31e36212-c766-4894-8f29-85b00c856ff8' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[3.415346e-05, 2.171099e-05, 1.613796e-05, 4.132092e-05,\n",
+       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-52497066-1150-4596-9bb8-5ec793f1388f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52497066-1150-4596-9bb8-5ec793f1388f' 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'>lat</span>: 6</li><li><span class='xr-has-index'>lon</span>: 7</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4442853b-b3d2-40f8-a6b3-7276e336ab10' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4442853b-b3d2-40f8-a6b3-7276e336ab10' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-ab97bccb-7046-4e43-a01b-9a2933bc9780' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab97bccb-7046-4e43-a01b-9a2933bc9780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efbb8a1b-1a7d-4c3b-ae60-874408cc7e84' class='xr-var-data-in' type='checkbox'><label for='data-efbb8a1b-1a7d-4c3b-ae60-874408cc7e84' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-63d230cf-8191-4761-b0af-da8d602559b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63d230cf-8191-4761-b0af-da8d602559b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2d27348-9e9b-4342-87b2-0e152354274e' class='xr-var-data-in' type='checkbox'><label for='data-e2d27348-9e9b-4342-87b2-0e152354274e' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li><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'>2046-01-01 12:00:00</div><input id='attrs-31e21d46-f68a-40b8-b5b3-83e11b110309' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31e21d46-f68a-40b8-b5b3-83e11b110309' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a64c056-eebe-4ddb-8bdd-b9859868fe37' class='xr-var-data-in' type='checkbox'><label for='data-1a64c056-eebe-4ddb-8bdd-b9859868fe37' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2046, 1, 1, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1ec98d8-2221-448c-8736-f55ed4046fd1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1ec98d8-2221-448c-8736-f55ed4046fd1' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7e50c06-6f5d-4243-b825-fad2a9892f8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7e50c06-6f5d-4243-b825-fad2a9892f8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a29c2fb-9bb5-48a3-b152-d1379980533e' class='xr-var-data-in' type='checkbox'><label for='data-0a29c2fb-9bb5-48a3-b152-d1379980533e' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[3.415346e-05, 2.171099e-05, 1.613796e-05, 4.132092e-05,\n",
        "         3.208220e-05, 5.155802e-06, 2.011657e-06],\n",
        "        [6.732345e-05, 6.915629e-05, 4.905462e-05, 1.920760e-05,\n",
        "         1.399219e-05, 3.948808e-06, 3.293157e-06],\n",
@@ -1392,7 +1392,7 @@
        "        [2.771616e-06, 0.000000e+00, 2.980232e-08, 1.490116e-08,\n",
        "         0.000000e+00, 1.659989e-05, 2.242625e-05],\n",
        "        [0.000000e+00, 1.043081e-06, 5.215406e-07, 0.000000e+00,\n",
-       "         3.710389e-06, 1.209974e-05, 1.022220e-05]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2150ad7-8c17-4427-8a3f-c8e68bd747ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-c2150ad7-8c17-4427-8a3f-c8e68bd747ce' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
+       "         3.710389e-06, 1.209974e-05, 1.022220e-05]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68eae82f-d0e4-40df-b91c-9643b69068b2' class='xr-section-summary-in' type='checkbox'  ><label for='section-68eae82f-d0e4-40df-b91c-9643b69068b2' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
        "Model raw diagnostic output;  At 21:54:41 on 06/22/2005, CMOR rewrote data to comply with CF standards and IPCC Fourth Assessment requirements [2006-4-5 21:36:54] cdscan -x /var/www/html/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -d pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da --exclude=plev --ignore-open-error --var-locate ps,ps_.* -f /tmp/scan/list.pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm ...</dd><dt><span>NCO :</span></dt><dd>4.0.9</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -1442,10 +1442,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:17.686606Z",
-     "iopub.status.busy": "2022-06-23T16:02:17.685979Z",
-     "iopub.status.idle": "2022-06-23T16:02:18.243890Z",
-     "shell.execute_reply": "2022-06-23T16:02:18.241548Z"
+     "iopub.execute_input": "2022-06-23T18:55:31.689271Z",
+     "iopub.status.busy": "2022-06-23T18:55:31.687802Z",
+     "iopub.status.idle": "2022-06-23T18:55:32.081252Z",
+     "shell.execute_reply": "2022-06-23T18:55:32.082426Z"
     }
    },
    "outputs": [
@@ -1825,13 +1825,13 @@
        "    Conventions:    CF-1.0\n",
        "    id:             pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da\n",
        "    history:        Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -...\n",
-       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-8ad5fc21-321a-4e66-87df-adab648771e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8ad5fc21-321a-4e66-87df-adab648771e2' 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'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li><li><span class='xr-has-index'>time</span>: 1800</li><li><span>time_1</span>: 1801</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e31691fc-919b-4953-93ac-1bf4effd9865' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e31691fc-919b-4953-93ac-1bf4effd9865' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>46.39</div><input id='attrs-af5af018-4797-4599-bab9-4bf8949e263d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af5af018-4797-4599-bab9-4bf8949e263d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baa09a43-7a5a-4840-b02b-98e1ceea90d8' class='xr-var-data-in' type='checkbox'><label for='data-baa09a43-7a5a-4840-b02b-98e1ceea90d8' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([46.388557])</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'>288.8</div><input id='attrs-4ef960c5-3241-4844-99b1-387cb83685e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ef960c5-3241-4844-99b1-387cb83685e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5405ea0b-f478-4282-9088-4441ec5b3b6d' class='xr-var-data-in' type='checkbox'><label for='data-5405ea0b-f478-4282-9088-4441ec5b3b6d' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([288.75])</pre></div></li><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'>2060-01-01 12:00:00 ... 2064-12-...</div><input id='attrs-d5e159da-520c-48a9-bd5b-6569da12fd92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5e159da-520c-48a9-bd5b-6569da12fd92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7e83f3b-55d2-4738-a97b-670ac9152865' class='xr-var-data-in' type='checkbox'><label for='data-d7e83f3b-55d2-4738-a97b-670ac9152865' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2060, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-86ba06eb-0597-4314-803d-50684b6fc79e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-86ba06eb-0597-4314-803d-50684b6fc79e' 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'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li><li><span class='xr-has-index'>time</span>: 1800</li><li><span>time_1</span>: 1801</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-06d4a10c-9573-4c3e-86bd-d93a91955dae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06d4a10c-9573-4c3e-86bd-d93a91955dae' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>46.39</div><input id='attrs-5620019f-7c35-41f8-901f-e3dec75cfe90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5620019f-7c35-41f8-901f-e3dec75cfe90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43c3800f-da42-4ff2-868b-8791ef08fc30' class='xr-var-data-in' type='checkbox'><label for='data-43c3800f-da42-4ff2-868b-8791ef08fc30' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([46.388557])</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'>288.8</div><input id='attrs-842906f8-24bf-4e45-b5be-f706b74ab98a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-842906f8-24bf-4e45-b5be-f706b74ab98a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70941931-a69b-4706-8fcc-e27f545e0ef4' class='xr-var-data-in' type='checkbox'><label for='data-70941931-a69b-4706-8fcc-e27f545e0ef4' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([288.75])</pre></div></li><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'>2060-01-01 12:00:00 ... 2064-12-...</div><input id='attrs-a1d82d44-9946-493e-b897-4f370601ce3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1d82d44-9946-493e-b897-4f370601ce3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff141314-c561-4b35-ac8c-6d24a732cbf0' class='xr-var-data-in' type='checkbox'><label for='data-ff141314-c561-4b35-ac8c-6d24a732cbf0' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2060, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2060, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2060, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
        "       cftime.Datetime360Day(2064, 12, 28, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 12, 30, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2882d102-1a92-4104-bee7-102795a8d913' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2882d102-1a92-4104-bee7-102795a8d913' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time_1, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac8972e6-f6d6-4064-b5d5-56b251fb8693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac8972e6-f6d6-4064-b5d5-56b251fb8693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e283393-0664-4e60-982c-9fc00571e188' class='xr-var-data-in' type='checkbox'><label for='data-3e283393-0664-4e60-982c-9fc00571e188' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[1.181662e-05]],\n",
+       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-84a7070f-fbd8-4e26-85c8-044eb063eb57' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84a7070f-fbd8-4e26-85c8-044eb063eb57' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time_1, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8671ad55-1739-43c7-a342-6f3bf6097820' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8671ad55-1739-43c7-a342-6f3bf6097820' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31dde992-5661-4f3a-a8db-c44ce76645ad' class='xr-var-data-in' type='checkbox'><label for='data-31dde992-5661-4f3a-a8db-c44ce76645ad' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[1.181662e-05]],\n",
        "\n",
        "       [[1.206994e-06]],\n",
        "\n",
@@ -1839,7 +1839,7 @@
        "\n",
        "       [[5.483627e-06]],\n",
        "\n",
-       "       [[5.592406e-05]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70485657-f474-4f29-bc0c-a1596fe2d59b' class='xr-section-summary-in' type='checkbox'  ><label for='section-70485657-f474-4f29-bc0c-a1596fe2d59b' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
+       "       [[5.592406e-05]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abcba6b6-300f-48b2-8382-a1e7cfbd2f10' class='xr-section-summary-in' type='checkbox'  ><label for='section-abcba6b6-300f-48b2-8382-a1e7cfbd2f10' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
        "Model raw diagnostic output;  At 21:54:41 on 06/22/2005, CMOR rewrote data to comply with CF standards and IPCC Fourth Assessment requirements [2006-4-5 21:36:54] cdscan -x /var/www/html/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -d pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da --exclude=plev --ignore-open-error --var-locate ps,ps_.* -f /tmp/scan/list.pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm ...</dd><dt><span>NCO :</span></dt><dd>4.0.9</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -1883,10 +1883,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:18.269212Z",
-     "iopub.status.busy": "2022-06-23T16:02:18.268367Z",
-     "iopub.status.idle": "2022-06-23T16:02:18.277524Z",
-     "shell.execute_reply": "2022-06-23T16:02:18.276535Z"
+     "iopub.execute_input": "2022-06-23T18:55:32.093905Z",
+     "iopub.status.busy": "2022-06-23T18:55:32.092467Z",
+     "iopub.status.idle": "2022-06-23T18:55:32.101246Z",
+     "shell.execute_reply": "2022-06-23T18:55:32.099817Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1913,10 +1913,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:18.282444Z",
-     "iopub.status.busy": "2022-06-23T16:02:18.281637Z",
-     "iopub.status.idle": "2022-06-23T16:02:18.293616Z",
-     "shell.execute_reply": "2022-06-23T16:02:18.292854Z"
+     "iopub.execute_input": "2022-06-23T18:55:32.122680Z",
+     "iopub.status.busy": "2022-06-23T18:55:32.121255Z",
+     "iopub.status.idle": "2022-06-23T18:55:32.127855Z",
+     "shell.execute_reply": "2022-06-23T18:55:32.126677Z"
     }
    },
    "outputs": [
@@ -1962,10 +1962,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:18.298496Z",
-     "iopub.status.busy": "2022-06-23T16:02:18.297780Z",
-     "iopub.status.idle": "2022-06-23T16:02:18.833211Z",
-     "shell.execute_reply": "2022-06-23T16:02:18.831071Z"
+     "iopub.execute_input": "2022-06-23T18:55:32.317217Z",
+     "iopub.status.busy": "2022-06-23T18:55:32.315829Z",
+     "iopub.status.idle": "2022-06-23T18:55:32.701412Z",
+     "shell.execute_reply": "2022-06-23T18:55:32.699961Z"
     }
    },
    "outputs": [
@@ -2344,13 +2344,13 @@
        "    Conventions:    CF-1.0\n",
        "    id:             pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da\n",
        "    history:        Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -...\n",
-       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-e579ad7d-1202-4e80-afae-8a3d713b8f2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e579ad7d-1202-4e80-afae-8a3d713b8f2f' 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'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li><li><span class='xr-has-index'>time</span>: 1800</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f8cfdc96-ca00-499e-bfde-fb560a97be52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f8cfdc96-ca00-499e-bfde-fb560a97be52' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>46.39</div><input id='attrs-b705cfd1-ca04-4b4a-bce3-e6a2c3eb2771' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b705cfd1-ca04-4b4a-bce3-e6a2c3eb2771' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20301ea1-272c-4fe1-bfe6-79e2500b048d' class='xr-var-data-in' type='checkbox'><label for='data-20301ea1-272c-4fe1-bfe6-79e2500b048d' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([46.388557])</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'>288.8</div><input id='attrs-2d4c4026-0651-48ef-a2f5-aab0819206af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d4c4026-0651-48ef-a2f5-aab0819206af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30b84ed3-e9df-4bd6-b6b0-80224ce667aa' class='xr-var-data-in' type='checkbox'><label for='data-30b84ed3-e9df-4bd6-b6b0-80224ce667aa' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([288.75])</pre></div></li><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'>2060-01-01 12:00:00 ... 2064-12-...</div><input id='attrs-0f762c98-8a6e-45d3-9928-9d8dde225f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f762c98-8a6e-45d3-9928-9d8dde225f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-803087db-7e9d-4829-9ed7-be4cc9dd432e' class='xr-var-data-in' type='checkbox'><label for='data-803087db-7e9d-4829-9ed7-be4cc9dd432e' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2060, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "    NCO:            4.0.9</pre><div class='xr-wrap' style='display:none'><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-89057e00-c2da-417b-8345-633e73e429f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-89057e00-c2da-417b-8345-633e73e429f9' 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'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li><li><span class='xr-has-index'>time</span>: 1800</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7455ffc5-de2d-40cf-97db-53b4aa7b1e81' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7455ffc5-de2d-40cf-97db-53b4aa7b1e81' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>46.39</div><input id='attrs-5be6d37c-2e92-4465-a8ca-484076b286fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5be6d37c-2e92-4465-a8ca-484076b286fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42cf630f-637d-4c73-884c-2c367209676c' class='xr-var-data-in' type='checkbox'><label for='data-42cf630f-637d-4c73-884c-2c367209676c' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([46.388557])</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'>288.8</div><input id='attrs-9c952150-4de3-46a1-a195-6ff00da9bfcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c952150-4de3-46a1-a195-6ff00da9bfcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5151f60c-c051-498d-b507-9638c5fb158d' class='xr-var-data-in' type='checkbox'><label for='data-5151f60c-c051-498d-b507-9638c5fb158d' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([288.75])</pre></div></li><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'>2060-01-01 12:00:00 ... 2064-12-...</div><input id='attrs-6b45da1c-2646-4aae-a1c8-aa3a499c7304' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b45da1c-2646-4aae-a1c8-aa3a499c7304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc4fb230-0f8b-409f-8f39-6ad73133652f' class='xr-var-data-in' type='checkbox'><label for='data-cc4fb230-0f8b-409f-8f39-6ad73133652f' 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>_ChunkSizes :</span></dt><dd>7200</dd></dl></div><div class='xr-var-data'><pre>array([cftime.Datetime360Day(2060, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2060, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2060, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
        "       cftime.Datetime360Day(2064, 12, 28, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 12, 30, 12, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe9e9343-9b48-412d-92bc-0687efbe27ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe9e9343-9b48-412d-92bc-0687efbe27ba' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cdf90d72-9975-4965-8b57-0f19433b79d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdf90d72-9975-4965-8b57-0f19433b79d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10544723-f4a4-4e6a-8a39-f56bb9330a4f' class='xr-var-data-in' type='checkbox'><label for='data-10544723-f4a4-4e6a-8a39-f56bb9330a4f' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[1.181662e-05]],\n",
+       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5bfc7d5e-f8b1-49c4-85a5-3f4f6ac5cb7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5bfc7d5e-f8b1-49c4-85a5-3f4f6ac5cb7c' class='xr-section-summary' >Data variables: <span>(1)</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>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9eb2af4c-65bf-4d48-a137-873738fea079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eb2af4c-65bf-4d48-a137-873738fea079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb3ed0a5-66b2-4542-afe0-4b8ba93b918b' class='xr-var-data-in' type='checkbox'><label for='data-bb3ed0a5-66b2-4542-afe0-4b8ba93b918b' 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>original_name :</span></dt><dd>APRL+APRC</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;</dd><dt><span>_ChunkSizes :</span></dt><dd>[7200    6    7]</dd></dl></div><div class='xr-var-data'><pre>array([[[1.181662e-05]],\n",
        "\n",
        "       [[1.206994e-06]],\n",
        "\n",
@@ -2358,7 +2358,7 @@
        "\n",
        "       [[1.610816e-05]],\n",
        "\n",
-       "       [[5.483627e-06]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-67ecdf07-7f56-4b05-baa7-11e915f049e2' class='xr-section-summary-in' type='checkbox'  ><label for='section-67ecdf07-7f56-4b05-baa7-11e915f049e2' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
+       "       [[5.483627e-06]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7d489999-d637-4180-b351-4ee6c3189454' class='xr-section-summary-in' type='checkbox'  ><label for='section-7d489999-d637-4180-b351-4ee6c3189454' class='xr-section-summary' >Attributes: <span>(17)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>MIUB (University of Bonn, Bonn, Germany)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Stephanie Legutke (legutke@dkrz.de), Seung-Ki Min(skmin@uni-bonn.de);</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:42:37 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v pr http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/pr.sresa2.miub_echo_g.run1.atm.da.nc\n",
        "Model raw diagnostic output;  At 21:54:41 on 06/22/2005, CMOR rewrote data to comply with CF standards and IPCC Fourth Assessment requirements [2006-4-5 21:36:54] cdscan -x /var/www/html/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -d pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da --exclude=plev --ignore-open-error --var-locate ps,ps_.* -f /tmp/scan/list.pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm ...</dd><dt><span>NCO :</span></dt><dd>4.0.9</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -2410,10 +2410,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:18.842983Z",
-     "iopub.status.busy": "2022-06-23T16:02:18.842244Z",
-     "iopub.status.idle": "2022-06-23T16:02:21.069921Z",
-     "shell.execute_reply": "2022-06-23T16:02:21.068704Z"
+     "iopub.execute_input": "2022-06-23T18:55:32.711689Z",
+     "iopub.status.busy": "2022-06-23T18:55:32.710236Z",
+     "iopub.status.idle": "2022-06-23T18:55:35.276988Z",
+     "shell.execute_reply": "2022-06-23T18:55:35.277346Z"
     }
    },
    "outputs": [
@@ -2788,10 +2788,10 @@
        "Attributes:\n",
        "    units:          mm/day\n",
        "    cell_methods:   time: mean (interval: 30 minutes)\n",
-       "    history:        pr=max(0,pr) applied to raw data;\\n[2022-06-23 12:02:19] ...\n",
+       "    history:        pr=max(0,pr) applied to raw data;\\n[2022-06-23 14:55:33] ...\n",
        "    standard_name:  lwe_thickness_of_precipitation_amount\n",
        "    long_name:      Average precipitation during wet days (sdii)\n",
-       "    description:    Annual simple daily intensity index (sdii) : annual avera...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sdii'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span class='xr-has-index'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e6f63a27-7a87-446b-9fcc-f0ab4bd00eef' class='xr-array-in' type='checkbox' checked><label for='section-e6f63a27-7a87-446b-9fcc-f0ab4bd00eef' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.984 5.413 5.488 5.164 4.691</span></div><div class='xr-array-data'><pre>array([[[4.984402]],\n",
+       "    description:    Annual simple daily intensity index (sdii) : annual avera...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sdii'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li><li><span class='xr-has-index'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-528f0bba-c430-48be-90fb-70d0f50bc44f' class='xr-array-in' type='checkbox' checked><label for='section-528f0bba-c430-48be-90fb-70d0f50bc44f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.984 5.413 5.488 5.164 4.691</span></div><div class='xr-array-data'><pre>array([[[4.984402]],\n",
        "\n",
        "       [[5.412616]],\n",
        "\n",
@@ -2799,13 +2799,13 @@
        "\n",
        "       [[5.164405]],\n",
        "\n",
-       "       [[4.69054 ]]])</pre></div></div></li><li class='xr-section-item'><input id='section-f87e078a-4838-45b0-98e5-f3bb5a21f4b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f87e078a-4838-45b0-98e5-f3bb5a21f4b1' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2060-01-01 00:00:00 ... 2064-01-...</div><input id='attrs-d3efad33-dd78-49cf-846b-967be9e2dc8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3efad33-dd78-49cf-846b-967be9e2dc8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2f6b2bf-915b-44ba-86da-6b13dd3c53b2' class='xr-var-data-in' type='checkbox'><label for='data-e2f6b2bf-915b-44ba-86da-6b13dd3c53b2' 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([cftime.Datetime360Day(2060, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "       [[4.69054 ]]])</pre></div></div></li><li class='xr-section-item'><input id='section-93040507-675f-4059-ac67-61ad971a0732' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93040507-675f-4059-ac67-61ad971a0732' 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'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2060-01-01 00:00:00 ... 2064-01-...</div><input id='attrs-076d0fd9-880c-4003-b51d-e80aa9878c21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-076d0fd9-880c-4003-b51d-e80aa9878c21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-535821c5-2033-4368-bad3-55fa7ee820cb' class='xr-var-data-in' type='checkbox'><label for='data-535821c5-2033-4368-bad3-55fa7ee820cb' 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([cftime.Datetime360Day(2060, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2061, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2062, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2063, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</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'>46.39</div><input id='attrs-c89aac6c-127a-4ab1-986f-c3b41cf82222' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c89aac6c-127a-4ab1-986f-c3b41cf82222' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7abaaf2-10b7-446d-8405-983ff5dca2c4' class='xr-var-data-in' type='checkbox'><label for='data-c7abaaf2-10b7-446d-8405-983ff5dca2c4' 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([46.388557])</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'>288.8</div><input id='attrs-0d4cd6da-27b5-4dd7-92ec-a396e26a5c81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d4cd6da-27b5-4dd7-92ec-a396e26a5c81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c5b8244-99a8-4ce3-b6b2-e5e510c232fc' class='xr-var-data-in' type='checkbox'><label for='data-4c5b8244-99a8-4ce3-b6b2-e5e510c232fc' 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([288.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d296d8ae-ebfd-4feb-945d-bc54f3858de1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d296d8ae-ebfd-4feb-945d-bc54f3858de1' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;\n",
-       "[2022-06-23 12:02:19] sdii: SDII(pr=pr, thresh=&#x27;1 mm/day&#x27;, freq=&#x27;YS&#x27;) - xclim version: 0.31.0.</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_precipitation_amount</dd><dt><span>long_name :</span></dt><dd>Average precipitation during wet days (sdii)</dd><dt><span>description :</span></dt><dd>Annual simple daily intensity index (sdii) : annual average precipitation for days with daily precipitation over 1 mm/day. this indicator is also known as the &#x27;simple daily intensity index&#x27; (sdii).</dd></dl></div></li></ul></div></div>"
+       "      dtype=object)</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'>46.39</div><input id='attrs-bef4d1a8-f345-4638-951b-40bae17c3d46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bef4d1a8-f345-4638-951b-40bae17c3d46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfb4218a-281d-4784-930a-2b9ab7a8358e' class='xr-var-data-in' type='checkbox'><label for='data-bfb4218a-281d-4784-930a-2b9ab7a8358e' 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([46.388557])</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'>288.8</div><input id='attrs-7f9128bb-baa0-49a4-8833-8339e7fb4184' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f9128bb-baa0-49a4-8833-8339e7fb4184' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f331e18-a33a-4eaf-8797-bc9f7d0fcfa0' class='xr-var-data-in' type='checkbox'><label for='data-2f331e18-a33a-4eaf-8797-bc9f7d0fcfa0' 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([288.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8359533c-1f8d-44f8-94ba-80e9ef54a416' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8359533c-1f8d-44f8-94ba-80e9ef54a416' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/day</dd><dt><span>cell_methods :</span></dt><dd>time: mean (interval: 30 minutes)</dd><dt><span>history :</span></dt><dd>pr=max(0,pr) applied to raw data;\n",
+       "[2022-06-23 14:55:33] sdii: SDII(pr=pr, thresh=&#x27;1 mm/day&#x27;, freq=&#x27;YS&#x27;) with options check_missing=any - xclim version: 0.37.0</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_precipitation_amount</dd><dt><span>long_name :</span></dt><dd>Average precipitation during wet days (sdii)</dd><dt><span>description :</span></dt><dd>Annual simple daily intensity index (sdii) : annual average precipitation for days with daily precipitation over 1 mm/day. this indicator is also known as the &#x27;simple daily intensity index&#x27; (sdii).</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'sdii' (time: 5, lat: 1, lon: 1)>\n",
@@ -2825,7 +2825,7 @@
        "Attributes:\n",
        "    units:          mm/day\n",
        "    cell_methods:   time: mean (interval: 30 minutes)\n",
-       "    history:        pr=max(0,pr) applied to raw data;\\n[2022-06-23 12:02:19] ...\n",
+       "    history:        pr=max(0,pr) applied to raw data;\\n[2022-06-23 14:55:33] ...\n",
        "    standard_name:  lwe_thickness_of_precipitation_amount\n",
        "    long_name:      Average precipitation during wet days (sdii)\n",
        "    description:    Annual simple daily intensity index (sdii) : annual avera..."
@@ -2860,7 +2860,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/notebooks/finch-usage.ipynb b/docs/source/notebooks/finch-usage.ipynb
index 4021bd4b..edd6c0c6 100644
--- a/docs/source/notebooks/finch-usage.ipynb
+++ b/docs/source/notebooks/finch-usage.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:24.790981Z",
-     "iopub.status.busy": "2022-06-23T16:02:24.788908Z",
-     "iopub.status.idle": "2022-06-23T16:02:27.455217Z",
-     "shell.execute_reply": "2022-06-23T16:02:27.454573Z"
+     "iopub.execute_input": "2022-06-23T18:55:38.694060Z",
+     "iopub.status.busy": "2022-06-23T18:55:38.692451Z",
+     "iopub.status.idle": "2022-06-23T18:55:40.971734Z",
+     "shell.execute_reply": "2022-06-23T18:55:40.972057Z"
     }
    },
    "outputs": [],
@@ -45,10 +45,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:27.458045Z",
-     "iopub.status.busy": "2022-06-23T16:02:27.457837Z",
-     "iopub.status.idle": "2022-06-23T16:02:27.462166Z",
-     "shell.execute_reply": "2022-06-23T16:02:27.461483Z"
+     "iopub.execute_input": "2022-06-23T18:55:40.976342Z",
+     "iopub.status.busy": "2022-06-23T18:55:40.975747Z",
+     "iopub.status.idle": "2022-06-23T18:55:40.978741Z",
+     "shell.execute_reply": "2022-06-23T18:55:40.979074Z"
     }
    },
    "outputs": [
@@ -58,7 +58,7 @@
      "text": [
       "Help on method frost_days in module birdy.client.base:\n",
       "\n",
-      "frost_days(tasmin=None, thresh='0 degC', freq='YS', check_missing='any', missing_options=None, cf_compliance='warn', data_validation='raise', variable=None, output_name=None, output_format='netcdf', output_formats=None) method of birdy.client.base.WPSClient instance\n",
+      "frost_days(tasmin=None, thresh='0 degC', freq='YS', month=None, season=None, check_missing='any', missing_options=None, cf_compliance='warn', data_validation='raise', variable=None, output_name=None, output_format='netcdf', output_formats=None) method of birdy.client.base.WPSClient instance\n",
       "    Number of days where daily minimum temperatures are below a threshold temperature.\n",
       "    \n",
       "    Parameters\n",
@@ -69,6 +69,10 @@
       "        Freezing temperature.\n",
       "    freq : {'YS', 'MS', 'QS-DEC', 'AS-JUL'}string\n",
       "        Resampling frequency.\n",
+      "    month : {'1', '2', '3', '4', '5', '6', '7', '8', '9', '10', ...}integer\n",
+      "        Months of the year over which to compute indicator.\n",
+      "    season : {'DJF', 'MAM', 'JJA', 'SON'}string\n",
+      "        Climatological season over which to compute indicator.\n",
       "    check_missing : {'any', 'wmo', 'pct', 'at_least_n', 'skip', 'from_context'}string\n",
       "        Method used to determine which aggregations should be considered missing.\n",
       "    missing_options : ComplexData:mimetype:`application/json`\n",
@@ -116,10 +120,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:27.487540Z",
-     "iopub.status.busy": "2022-06-23T16:02:27.486840Z",
-     "iopub.status.idle": "2022-06-23T16:02:29.772597Z",
-     "shell.execute_reply": "2022-06-23T16:02:29.770193Z"
+     "iopub.execute_input": "2022-06-23T18:55:40.986571Z",
+     "iopub.status.busy": "2022-06-23T18:55:40.982667Z",
+     "iopub.status.idle": "2022-06-23T18:55:43.143206Z",
+     "shell.execute_reply": "2022-06-23T18:55:43.142684Z"
     }
    },
    "outputs": [],
@@ -133,10 +137,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:29.777622Z",
-     "iopub.status.busy": "2022-06-23T16:02:29.776565Z",
-     "iopub.status.idle": "2022-06-23T16:02:29.795801Z",
-     "shell.execute_reply": "2022-06-23T16:02:29.794051Z"
+     "iopub.execute_input": "2022-06-23T18:55:43.147592Z",
+     "iopub.status.busy": "2022-06-23T18:55:43.147104Z",
+     "iopub.status.idle": "2022-06-23T18:55:43.149762Z",
+     "shell.execute_reply": "2022-06-23T18:55:43.149265Z"
     }
    },
    "outputs": [
@@ -145,7 +149,7 @@
      "output_type": "stream",
      "text": [
       "Process status:  ProcessSucceeded\n",
-      "Link to process output:  https://pavics.ouranos.ca/wpsoutputs/e0e75278-f30d-11ec-8635-484d7ef8d8d1/frost_days_sres_a2_experiment_20460101_20650101.nc\n"
+      "Link to process output:  https://pavics.ouranos.ca/wpsoutputs/13e77280-f326-11ec-b7f2-484d7ef8d8d1/frost_days_sres_a2_experiment_20460101_20650101.nc\n"
      ]
     }
    ],
@@ -167,10 +171,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:29.802296Z",
-     "iopub.status.busy": "2022-06-23T16:02:29.801968Z",
-     "iopub.status.idle": "2022-06-23T16:02:29.860800Z",
-     "shell.execute_reply": "2022-06-23T16:02:29.860057Z"
+     "iopub.execute_input": "2022-06-23T18:55:43.155525Z",
+     "iopub.status.busy": "2022-06-23T18:55:43.155028Z",
+     "iopub.status.idle": "2022-06-23T18:55:43.203433Z",
+     "shell.execute_reply": "2022-06-23T18:55:43.203055Z"
     }
    },
    "outputs": [
@@ -561,11 +565,11 @@
        "  * lon      (lon) float64 281.2 285.0 288.8 292.5 296.2 300.0 303.8\n",
        "Attributes:\n",
        "    units:          days\n",
-       "    cell_methods:   time: minimum (interval: 30 minutes) time: minimum within...\n",
+       "    cell_methods:   time: minimum (interval: 30 minutes) time: sum over days\n",
        "    history:        tas=max(195,tas) applied to raw data; min of 194.73 detec...\n",
        "    standard_name:  days_with_air_temperature_below_threshold\n",
        "    long_name:      Number of frost days (tmin &lt; 0 degc)\n",
-       "    description:    Annual number of days with minimum daily temperature belo...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'frost_days'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 20</li><li><span class='xr-has-index'>lat</span>: 6</li><li><span class='xr-has-index'>lon</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0349edb1-ae35-41a1-bad2-26438d04ba59' class='xr-array-in' type='checkbox' checked><label for='section-0349edb1-ae35-41a1-bad2-26438d04ba59' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>122.0 121.0 98.0 47.0 33.0 19.0 ... 249.0 229.0 193.0 156.0 103.0</span></div><div class='xr-array-data'><pre>array([[[122., 121., ...,  19.,   9.],\n",
+       "    description:    Annual number of days with minimum daily temperature belo...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'frost_days'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 20</li><li><span class='xr-has-index'>lat</span>: 6</li><li><span class='xr-has-index'>lon</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-be010861-a15a-4583-b889-6e1b9c998b41' class='xr-array-in' type='checkbox' checked><label for='section-be010861-a15a-4583-b889-6e1b9c998b41' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>122.0 121.0 98.0 47.0 33.0 19.0 ... 249.0 229.0 193.0 156.0 103.0</span></div><div class='xr-array-data'><pre>array([[[122., 121., ...,  19.,   9.],\n",
        "        [156., 168., ..., 113.,  93.],\n",
        "        ...,\n",
        "        [227., 227., ..., 194., 133.],\n",
@@ -589,7 +593,7 @@
        "        [163., 172., ...,  91.,  59.],\n",
        "        ...,\n",
        "        [225., 225., ..., 161., 107.],\n",
-       "        [251., 250., ..., 156., 103.]]])</pre></div></div></li><li class='xr-section-item'><input id='section-83106960-d641-4f72-9b00-e82b89f44a39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83106960-d641-4f72-9b00-e82b89f44a39' 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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd363204-3eb7-4837-a9fe-fe827d18aa1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd363204-3eb7-4837-a9fe-fe827d18aa1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1121f8f5-b99d-41a8-ba87-2e15eaf13394' class='xr-var-data-in' type='checkbox'><label for='data-1121f8f5-b99d-41a8-ba87-2e15eaf13394' 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>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>2046-01-01 00:00:00 ... 2065-01-...</div><input id='attrs-335d42e0-a594-44ec-898a-38ac5b164917' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-335d42e0-a594-44ec-898a-38ac5b164917' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfc297bd-c636-4399-ab53-70622094a3ea' class='xr-var-data-in' type='checkbox'><label for='data-dfc297bd-c636-4399-ab53-70622094a3ea' 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([cftime.Datetime360Day(2046, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "        [251., 250., ..., 156., 103.]]])</pre></div></div></li><li class='xr-section-item'><input id='section-486c685a-7275-407b-82f7-fa0633663b2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-486c685a-7275-407b-82f7-fa0633663b2b' 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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ded0222-9953-44ca-a552-792093b6832c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ded0222-9953-44ca-a552-792093b6832c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aff09a97-5f0b-4d62-8470-f0bce8a0522b' class='xr-var-data-in' type='checkbox'><label for='data-aff09a97-5f0b-4d62-8470-f0bce8a0522b' 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>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>2046-01-01 00:00:00 ... 2065-01-...</div><input id='attrs-1c6be8af-10b2-409d-bf7b-4901d6abaf92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c6be8af-10b2-409d-bf7b-4901d6abaf92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2129821d-0330-4d7a-9c86-2d83a18e0ea2' class='xr-var-data-in' type='checkbox'><label for='data-2129821d-0330-4d7a-9c86-2d83a18e0ea2' 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([cftime.Datetime360Day(2046, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2047, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2048, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2049, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
@@ -609,8 +613,8 @@
        "       cftime.Datetime360Day(2063, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2065, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</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'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-dfb02050-8f74-4265-8dfe-669eda323fd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfb02050-8f74-4265-8dfe-669eda323fd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ff82e51-f5ac-444d-8cd2-5dbbcd1d5b61' class='xr-var-data-in' type='checkbox'><label for='data-7ff82e51-f5ac-444d-8cd2-5dbbcd1d5b61' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-b0106d2b-280c-4901-a31b-198287db4ad2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0106d2b-280c-4901-a31b-198287db4ad2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27de3b0a-1d5d-4c87-8120-35243325cf9e' class='xr-var-data-in' type='checkbox'><label for='data-27de3b0a-1d5d-4c87-8120-35243325cf9e' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-785f76ce-ad8f-405c-8f41-210fdcb0a469' class='xr-section-summary-in' type='checkbox'  checked><label for='section-785f76ce-ad8f-405c-8f41-210fdcb0a469' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days</dd><dt><span>cell_methods :</span></dt><dd>time: minimum (interval: 30 minutes) time: minimum within days time: sum over days</dd><dt><span>history :</span></dt><dd>tas=max(195,tas) applied to raw data; min of 194.73 detected;\n",
-       "[2022-06-23 12:02:28] frost_days: FROST_DAYS(tasmin=tasmin, thresh=&#x27;0 degC&#x27;, freq=&#x27;YS&#x27;) - xclim version: 0.31.0.</dd><dt><span>standard_name :</span></dt><dd>days_with_air_temperature_below_threshold</dd><dt><span>long_name :</span></dt><dd>Number of frost days (tmin &lt; 0 degc)</dd><dt><span>description :</span></dt><dd>Annual number of days with minimum daily temperature below 0 degc.</dd></dl></div></li></ul></div></div>"
+       "      dtype=object)</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'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-167964c3-107c-40d6-a194-fbdce7552b36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-167964c3-107c-40d6-a194-fbdce7552b36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e62aeb7-0c8c-46cc-a485-478843fb5847' class='xr-var-data-in' type='checkbox'><label for='data-5e62aeb7-0c8c-46cc-a485-478843fb5847' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-0a630718-30ff-4a52-950b-5514eb5bd521' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a630718-30ff-4a52-950b-5514eb5bd521' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-094f62ed-fd94-4742-a23d-2fa0be903a2b' class='xr-var-data-in' type='checkbox'><label for='data-094f62ed-fd94-4742-a23d-2fa0be903a2b' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5522f743-7812-4d30-b2f1-e2b80afddd55' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5522f743-7812-4d30-b2f1-e2b80afddd55' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>days</dd><dt><span>cell_methods :</span></dt><dd>time: minimum (interval: 30 minutes) time: sum over days</dd><dt><span>history :</span></dt><dd>tas=max(195,tas) applied to raw data; min of 194.73 detected;\n",
+       "[2022-06-23 14:55:41] frost_days: FROST_DAYS(tasmin=tasmin, thresh=&#x27;0 degC&#x27;, freq=&#x27;YS&#x27;) with options check_missing=any - xclim version: 0.37.0</dd><dt><span>standard_name :</span></dt><dd>days_with_air_temperature_below_threshold</dd><dt><span>long_name :</span></dt><dd>Number of frost days (tmin &lt; 0 degc)</dd><dt><span>description :</span></dt><dd>Annual number of days with minimum daily temperature below 0 degc.</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'frost_days' (time: 20, lat: 6, lon: 7)>\n",
@@ -646,7 +650,7 @@
        "  * lon      (lon) float64 281.2 285.0 288.8 292.5 296.2 300.0 303.8\n",
        "Attributes:\n",
        "    units:          days\n",
-       "    cell_methods:   time: minimum (interval: 30 minutes) time: minimum within...\n",
+       "    cell_methods:   time: minimum (interval: 30 minutes) time: sum over days\n",
        "    history:        tas=max(195,tas) applied to raw data; min of 194.73 detec...\n",
        "    standard_name:  days_with_air_temperature_below_threshold\n",
        "    long_name:      Number of frost days (tmin < 0 degc)\n",
@@ -678,10 +682,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:29.864036Z",
-     "iopub.status.busy": "2022-06-23T16:02:29.863767Z",
-     "iopub.status.idle": "2022-06-23T16:02:29.917689Z",
-     "shell.execute_reply": "2022-06-23T16:02:29.916866Z"
+     "iopub.execute_input": "2022-06-23T18:55:43.208626Z",
+     "iopub.status.busy": "2022-06-23T18:55:43.208127Z",
+     "iopub.status.idle": "2022-06-23T18:55:43.244896Z",
+     "shell.execute_reply": "2022-06-23T18:55:43.244385Z"
     }
    },
    "outputs": [
@@ -1061,7 +1065,7 @@
        "    NCO:                      4.0.9\n",
        "    climateindex_package_id:  https://github.com/Ouranosinc/xclim\n",
        "    product:                  derived climate index\n",
-       "    institute_id:             CCCS</pre><div class='xr-wrap' style='display:none'><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-45c4a83f-0bc6-4bf2-a028-f1d6df3f0ce9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-45c4a83f-0bc6-4bf2-a028-f1d6df3f0ce9' 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>: 20</li><li><span class='xr-has-index'>lat</span>: 6</li><li><span class='xr-has-index'>lon</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cf2978d5-ef20-4379-82d6-140ac8bf772f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf2978d5-ef20-4379-82d6-140ac8bf772f' 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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8067fc0b-a9f2-4191-b6e8-4cdc399d262e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8067fc0b-a9f2-4191-b6e8-4cdc399d262e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2629e80e-5b56-4559-a5dc-e90ce851bb1b' class='xr-var-data-in' type='checkbox'><label for='data-2629e80e-5b56-4559-a5dc-e90ce851bb1b' 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>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>2046-01-01 00:00:00 ... 2065-01-...</div><input id='attrs-85a11992-e1b5-4c1e-9740-05ff65a41b2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-85a11992-e1b5-4c1e-9740-05ff65a41b2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886d1ae9-a31e-4381-a7c5-5bf3494b0038' class='xr-var-data-in' type='checkbox'><label for='data-886d1ae9-a31e-4381-a7c5-5bf3494b0038' 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([cftime.Datetime360Day(2046, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+       "    institute_id:             CCCS</pre><div class='xr-wrap' style='display:none'><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-46ccac17-b08b-4253-9007-5e7a01c3a2e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46ccac17-b08b-4253-9007-5e7a01c3a2e5' 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>: 20</li><li><span class='xr-has-index'>lat</span>: 6</li><li><span class='xr-has-index'>lon</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-32166126-5dbf-43df-82de-31209853edfa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32166126-5dbf-43df-82de-31209853edfa' 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>height</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71a70097-39be-4f09-a4fd-23756f5ad1fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71a70097-39be-4f09-a4fd-23756f5ad1fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a8afc6f-516e-40c3-beec-b559a8aaa34c' class='xr-var-data-in' type='checkbox'><label for='data-1a8afc6f-516e-40c3-beec-b559a8aaa34c' 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>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>long_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><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'>2046-01-01 00:00:00 ... 2065-01-...</div><input id='attrs-871a0099-af1e-4c77-a633-8d5930ca59c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-871a0099-af1e-4c77-a633-8d5930ca59c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3f6a8a7-166e-4d3f-8f7e-21bbd4aebf95' class='xr-var-data-in' type='checkbox'><label for='data-f3f6a8a7-166e-4d3f-8f7e-21bbd4aebf95' 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([cftime.Datetime360Day(2046, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2047, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2048, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2049, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
@@ -1081,8 +1085,8 @@
        "       cftime.Datetime360Day(2063, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2064, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
        "       cftime.Datetime360Day(2065, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)</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'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-81946677-3833-4041-9c7a-c2422d440e46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81946677-3833-4041-9c7a-c2422d440e46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-762d2402-3d3d-44e1-b5b6-d53641ed2c81' class='xr-var-data-in' type='checkbox'><label for='data-762d2402-3d3d-44e1-b5b6-d53641ed2c81' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-3c0b81b5-9d52-47fa-8b42-997aa44f2cff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c0b81b5-9d52-47fa-8b42-997aa44f2cff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a466f47-50da-4ebc-bd29-95f903fabc51' class='xr-var-data-in' type='checkbox'><label for='data-1a466f47-50da-4ebc-bd29-95f903fabc51' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac7d7206-628b-44c4-9080-410a00f3e8b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac7d7206-628b-44c4-9080-410a00f3e8b2' class='xr-section-summary' >Data variables: <span>(1)</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>frost_days</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7339af52-d936-4604-8063-e54613f20f33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7339af52-d936-4604-8063-e54613f20f33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-813a758e-5b83-4fe1-be55-f9817780493a' class='xr-var-data-in' type='checkbox'><label for='data-813a758e-5b83-4fe1-be55-f9817780493a' 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>cell_methods :</span></dt><dd>time: minimum (interval: 30 minutes) time: minimum within days time: sum over days</dd><dt><span>history :</span></dt><dd>tas=max(195,tas) applied to raw data; min of 194.73 detected;\n",
-       "[2022-06-23 12:02:28] frost_days: FROST_DAYS(tasmin=tasmin, thresh=&#x27;0 degC&#x27;, freq=&#x27;YS&#x27;) - xclim version: 0.31.0.</dd><dt><span>standard_name :</span></dt><dd>days_with_air_temperature_below_threshold</dd><dt><span>long_name :</span></dt><dd>Number of frost days (tmin &lt; 0 degc)</dd><dt><span>description :</span></dt><dd>Annual number of days with minimum daily temperature below 0 degc.</dd></dl></div><div class='xr-var-data'><pre>array([[[10540800000000000, 10454400000000000, ...,  1641600000000000,\n",
+       "      dtype=object)</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'>42.68 46.39 50.1 53.81 57.52 61.23</div><input id='attrs-fb4a594c-84f8-4056-9096-d75d53801294' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb4a594c-84f8-4056-9096-d75d53801294' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e8ae687-56ae-4b0f-b48b-ca70d5b0345a' class='xr-var-data-in' type='checkbox'><label for='data-5e8ae687-56ae-4b0f-b48b-ca70d5b0345a' 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>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>6</dd></dl></div><div class='xr-var-data'><pre>array([42.677605, 46.388557, 50.099453, 53.810272, 57.520992, 61.231571])</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'>281.2 285.0 288.8 ... 300.0 303.8</div><input id='attrs-9a0d490c-c872-4644-873e-63d0edcf27c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a0d490c-c872-4644-873e-63d0edcf27c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b788653f-f5ec-4c68-8e5f-723a4963640b' class='xr-var-data-in' type='checkbox'><label for='data-b788653f-f5ec-4c68-8e5f-723a4963640b' 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>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>7</dd></dl></div><div class='xr-var-data'><pre>array([281.25, 285.  , 288.75, 292.5 , 296.25, 300.  , 303.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8d76ca8e-5647-4f93-8881-af3bf100b158' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8d76ca8e-5647-4f93-8881-af3bf100b158' class='xr-section-summary' >Data variables: <span>(1)</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>frost_days</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffd4f726-51da-4550-964b-fb9b902e2d39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffd4f726-51da-4550-964b-fb9b902e2d39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aeae261-025e-4c10-baea-41bddeb164ab' class='xr-var-data-in' type='checkbox'><label for='data-0aeae261-025e-4c10-baea-41bddeb164ab' 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>cell_methods :</span></dt><dd>time: minimum (interval: 30 minutes) time: sum over days</dd><dt><span>history :</span></dt><dd>tas=max(195,tas) applied to raw data; min of 194.73 detected;\n",
+       "[2022-06-23 14:55:41] frost_days: FROST_DAYS(tasmin=tasmin, thresh=&#x27;0 degC&#x27;, freq=&#x27;YS&#x27;) with options check_missing=any - xclim version: 0.37.0</dd><dt><span>standard_name :</span></dt><dd>days_with_air_temperature_below_threshold</dd><dt><span>long_name :</span></dt><dd>Number of frost days (tmin &lt; 0 degc)</dd><dt><span>description :</span></dt><dd>Annual number of days with minimum daily temperature below 0 degc.</dd></dl></div><div class='xr-var-data'><pre>array([[[10540800000000000, 10454400000000000, ...,  1641600000000000,\n",
        "           777600000000000],\n",
        "        [13478400000000000, 14515200000000000, ...,  9763200000000000,\n",
        "          8035200000000000],\n",
@@ -1122,7 +1126,7 @@
        "        [19440000000000000, 19440000000000000, ..., 13910400000000000,\n",
        "          9244800000000000],\n",
        "        [21686400000000000, 21600000000000000, ..., 13478400000000000,\n",
-       "          8899200000000000]]], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95f074ed-bef5-417d-a4ae-b52d16a1e23f' class='xr-section-summary-in' type='checkbox'  ><label for='section-95f074ed-bef5-417d-a4ae-b52d16a1e23f' class='xr-section-summary' >Attributes: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Services (CCCS)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Canadian Centre for Climate Services</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:43:58 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v tasmin http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/tasmin.sresa2.miub_echo_g.run1.atm.da.nc\n",
+       "          8899200000000000]]], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1854399c-f6e3-44d6-b9d4-226daf3ab480' class='xr-section-summary-in' type='checkbox'  ><label for='section-1854399c-f6e3-44d6-b9d4-226daf3ab480' class='xr-section-summary' >Attributes: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Spinup: restart files from end of experiment 20C3M (corresponding realisation).  Anthropogenic (GHGs, sulfate aerosol direct and first indirect effects) and natural forcing (solar irradiance and volcanic activity implemented through varying solar constant) are used for the 20C3M simulations.</dd><dt><span>title :</span></dt><dd>MIUB  model output prepared for IPCC Fourth Assessment SRES A2 experiment</dd><dt><span>cmor_version :</span></dt><dd>0.96</dd><dt><span>institution :</span></dt><dd>Canadian Centre for Climate Services (CCCS)</dd><dt><span>source :</span></dt><dd>ECHO-G(1999): atmosphere: ECHAM4 (T30L19) with partial sea ice with flux aggregation and continental ice sheet discharge incl. latent heat; ocean: HOPE-G (T42+equator refinement/L20); sea ice: HOPE-G</dd><dt><span>contact :</span></dt><dd>Canadian Centre for Climate Services</dd><dt><span>references :</span></dt><dd>ECHAM4: E. Roeckner et al., 1996, The atmospheric general circulation model ECHAM4, MPI Report No. 218; HOPE-G: Legutke and Maier-Reimer, 1999, Climatology of the HOPE-G Global Ocean General Circulation Model, DKRZ Techn. Report 21; ECHO-G: Min et al., 2004, Climatology and internal variability in a 1000-year control simulation with the coupled climate model ECHO-G, Tellus A, in print.</dd><dt><span>experiment_id :</span></dt><dd>SRES A2 experiment</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>directory :</span></dt><dd>/ipcc/sresa2/atm/da/</dd><dt><span>table_id :</span></dt><dd>Table A2 (17 November 2004)</dd><dt><span>calendar :</span></dt><dd>360_day</dd><dt><span>project_id :</span></dt><dd>IPCC Fourth Assessment</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>id :</span></dt><dd>pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da</dd><dt><span>history :</span></dt><dd>Mon Aug  1 11:43:58 2011: ncks -4 -L 7 -d lat,42.0,64.0 -d lon,278.0,306.0 -d time,1950-01-01 00:00:00,2070-01-01 00:00:00 -v tasmin http://davidhuard:patate@esgcet.llnl.gov/dap/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -o /home/david/projects/ingenieurs/data/cmip3/tasmin.sresa2.miub_echo_g.run1.atm.da.nc\n",
        "Model raw diagnostic output;  At 21:54:41 on 06/22/2005, CMOR rewrote data to comply with CF standards and IPCC Fourth Assessment requirements [2006-4-5 21:36:54] cdscan -x /var/www/html/ipcc4/sresa2/miub_echo_g/pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da.xml -d pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm.da --exclude=plev --ignore-open-error --var-locate ps,ps_.* -f /tmp/scan/list.pcmdi.ipcc4.miub_echo_g.sresa2.run1.atm ...</dd><dt><span>NCO :</span></dt><dd>4.0.9</dd><dt><span>climateindex_package_id :</span></dt><dd>https://github.com/Ouranosinc/xclim</dd><dt><span>product :</span></dt><dd>derived climate index</dd><dt><span>institute_id :</span></dt><dd>CCCS</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -1179,7 +1183,7 @@
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diff --git a/docs/source/notebooks/subset.ipynb b/docs/source/notebooks/subset.ipynb
index 7d1c6451..eebbc1b0 100644
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@@ -37,10 +37,10 @@
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@@ -56,10 +56,10 @@
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@@ -84,10 +84,10 @@
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@@ -113,10 +113,10 @@
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@@ -131,10 +131,10 @@
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-     "shell.execute_reply": "2022-06-23T16:02:37.706726Z"
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@@ -181,10 +181,10 @@
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@@ -215,10 +215,10 @@
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@@ -406,10 +406,10 @@
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+     "iopub.execute_input": "2022-06-23T18:55:51.967481Z",
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@@ -485,10 +485,10 @@
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@@ -535,10 +535,10 @@
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@@ -584,10 +584,10 @@
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@@ -603,10 +603,10 @@
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@@ -637,10 +637,10 @@
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@@ -1018,7 +1018,7 @@
        "    institution:     Norwegian Climate Centre\n",
        "    source:          NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-v...\n",
        "    redistribution:  Redistribution prohibited. For internal use only.\n",
-       "    regrid_method:   conservative</pre><div class='xr-wrap' style='display:none'><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-f36ab716-179d-436d-a776-96eb5553528f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f36ab716-179d-436d-a776-96eb5553528f' 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>: 31</li><li><span class='xr-has-index'>geom</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-54cd7dc9-f4ff-4571-a544-3ac9185bbc86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-54cd7dc9-f4ff-4571-a544-3ac9185bbc86' class='xr-section-summary' >Coordinates: <span>(5)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2050-01-01</div><input id='attrs-678ceff0-1ccb-475f-8d43-ee46590e7acf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-678ceff0-1ccb-475f-8d43-ee46590e7acf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c22b6705-d7e2-41c3-943c-b03a579757bd' class='xr-var-data-in' type='checkbox'><label for='data-c22b6705-d7e2-41c3-943c-b03a579757bd' 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;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;,\n",
+       "    regrid_method:   conservative</pre><div class='xr-wrap' style='display:none'><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-899cfcc0-b70b-47e1-9e9e-5915c376eb04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-899cfcc0-b70b-47e1-9e9e-5915c376eb04' 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>: 31</li><li><span class='xr-has-index'>geom</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c04e45ae-22b4-4161-8e83-3a78fbcf1a89' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c04e45ae-22b4-4161-8e83-3a78fbcf1a89' class='xr-section-summary' >Coordinates: <span>(5)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2050-01-01</div><input id='attrs-302ce576-d876-430c-8410-fa7b92bf9f02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-302ce576-d876-430c-8410-fa7b92bf9f02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b773b9ee-00a8-4acc-9652-152084d6d67c' class='xr-var-data-in' type='checkbox'><label for='data-b773b9ee-00a8-4acc-9652-152084d6d67c' 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;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2023-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2024-01-01T00:00:00.000000000&#x27;, &#x27;2025-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2026-01-01T00:00:00.000000000&#x27;, &#x27;2027-01-01T00:00:00.000000000&#x27;,\n",
@@ -1033,7 +1033,7 @@
        "       &#x27;2044-01-01T00:00:00.000000000&#x27;, &#x27;2045-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2046-01-01T00:00:00.000000000&#x27;, &#x27;2047-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2048-01-01T00:00:00.000000000&#x27;, &#x27;2049-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2050-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-056c9142-5e8e-4cb0-b8f6-4c2cfde203e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-056c9142-5e8e-4cb0-b8f6-4c2cfde203e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61e09f5b-54cd-4596-bf24-9f56f4cd1747' class='xr-var-data-in' type='checkbox'><label for='data-61e09f5b-54cd-4596-bf24-9f56f4cd1747' 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([-73.725043, -73.298828, -73.694512])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1eeabaf3-c9b4-4534-b7ac-223fbfe7b661' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1eeabaf3-c9b4-4534-b7ac-223fbfe7b661' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d60f80b2-3071-4b92-be74-5f5812a38751' class='xr-var-data-in' type='checkbox'><label for='data-d60f80b2-3071-4b92-be74-5f5812a38751' 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([45.605235, 45.386636, 45.507791])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geom</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-3bcaecef-4fb6-4520-a31a-bf491e37780f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bcaecef-4fb6-4520-a31a-bf491e37780f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fe40c6b-8e56-4b5a-8d8e-aecf193bd09c' class='xr-var-data-in' type='checkbox'><label for='data-4fe40c6b-8e56-4b5a-8d8e-aecf193bd09c' 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, 1, 2])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RES_NM_REG</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7008922-a9d8-495f-ba56-6708204c85bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7008922-a9d8-495f-ba56-6708204c85bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8782010d-8e88-49a1-b4b7-9418f5dbb977' class='xr-var-data-in' type='checkbox'><label for='data-8782010d-8e88-49a1-b4b7-9418f5dbb977' 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;Laval&#x27;, &#x27;Montérégie&#x27;, &#x27;Montréal&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ef873c6-2f46-4690-bab3-8d3e51983c49' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ef873c6-2f46-4690-bab3-8d3e51983c49' class='xr-section-summary' >Data variables: <span>(1)</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>tg_mean_annual</span></div><div class='xr-var-dims'>(time, geom)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2e4de57-cce9-4cdf-b822-55a2d4752ddc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2e4de57-cce9-4cdf-b822-55a2d4752ddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e90593c9-1205-4ebe-ba80-083e4808e423' class='xr-var-data-in' type='checkbox'><label for='data-e90593c9-1205-4ebe-ba80-083e4808e423' 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>K</dd><dt><span>cell_methods :</span></dt><dd> time: mean within days time: mean within days time: mean over days</dd><dt><span>xclim_history :</span></dt><dd>[2021-08-11 09:17:14] tg_mean_annual: agriclimat.TG_MEAN_ANNUAL(tas=&lt;array&gt;, freq=&#x27;YS&#x27;) - xclim version: 0.27.5-beta.</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Mean daily mean temperature</dd><dt><span>description :</span></dt><dd>Annual mean of daily mean temperature.</dd><dt><span>long_name_fr :</span></dt><dd>Moyenne de la température journalière moyenne</dd><dt><span>description_fr :</span></dt><dd>Moyenne annuelle de la température journalière moyenne</dd><dt><span>comment_fr :</span></dt><dd></dd><dt><span>_ChunkSizes :</span></dt><dd>[60 40 32]</dd></dl></div><div class='xr-var-data'><pre>array([[280.6498 , 280.49625, 280.9249 ],\n",
+       "       &#x27;2050-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f991a7f4-a3ad-4896-a106-796cb8a5dbf9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f991a7f4-a3ad-4896-a106-796cb8a5dbf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39c45a15-59de-4437-9843-923e1cb24c68' class='xr-var-data-in' type='checkbox'><label for='data-39c45a15-59de-4437-9843-923e1cb24c68' 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([-73.725043, -73.298828, -73.694512])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c72454ee-d76a-4308-9058-b0511d74045b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c72454ee-d76a-4308-9058-b0511d74045b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35804fae-7de0-456d-a4f7-b39247234589' class='xr-var-data-in' type='checkbox'><label for='data-35804fae-7de0-456d-a4f7-b39247234589' 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([45.605235, 45.386636, 45.507791])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geom</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2</div><input id='attrs-a21eb0a6-6b65-4289-9ef8-8f5d7c04505a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a21eb0a6-6b65-4289-9ef8-8f5d7c04505a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b0dce50-76ee-4506-b632-61d5854edad4' class='xr-var-data-in' type='checkbox'><label for='data-8b0dce50-76ee-4506-b632-61d5854edad4' 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, 1, 2])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RES_NM_REG</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f2d40eb-169b-4dd5-8b95-31eeb049c025' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f2d40eb-169b-4dd5-8b95-31eeb049c025' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c6beed6-7f94-4355-8dc2-3a742cc11631' class='xr-var-data-in' type='checkbox'><label for='data-2c6beed6-7f94-4355-8dc2-3a742cc11631' 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;Laval&#x27;, &#x27;Montérégie&#x27;, &#x27;Montréal&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff8c3c00-46eb-494a-8f5a-3d94c3d5e322' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff8c3c00-46eb-494a-8f5a-3d94c3d5e322' class='xr-section-summary' >Data variables: <span>(1)</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>tg_mean_annual</span></div><div class='xr-var-dims'>(time, geom)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ca28fe4-4307-4773-8178-4bd9d8448ca7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ca28fe4-4307-4773-8178-4bd9d8448ca7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a23eaea-64d1-489b-bf72-25c4de5e6452' class='xr-var-data-in' type='checkbox'><label for='data-0a23eaea-64d1-489b-bf72-25c4de5e6452' 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>K</dd><dt><span>cell_methods :</span></dt><dd> time: mean within days time: mean within days time: mean over days</dd><dt><span>xclim_history :</span></dt><dd>[2021-08-11 09:17:14] tg_mean_annual: agriclimat.TG_MEAN_ANNUAL(tas=&lt;array&gt;, freq=&#x27;YS&#x27;) - xclim version: 0.27.5-beta.</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Mean daily mean temperature</dd><dt><span>description :</span></dt><dd>Annual mean of daily mean temperature.</dd><dt><span>long_name_fr :</span></dt><dd>Moyenne de la température journalière moyenne</dd><dt><span>description_fr :</span></dt><dd>Moyenne annuelle de la température journalière moyenne</dd><dt><span>comment_fr :</span></dt><dd></dd><dt><span>_ChunkSizes :</span></dt><dd>[60 40 32]</dd></dl></div><div class='xr-var-data'><pre>array([[280.6498 , 280.49625, 280.9249 ],\n",
        "       [280.5494 , 280.34033, 280.8113 ],\n",
        "       [280.88556, 280.74432, 281.14438],\n",
        "       [282.2344 , 282.1285 , 282.4849 ],\n",
@@ -1063,7 +1063,7 @@
        "       [282.05273, 281.84796, 282.31708],\n",
        "       [282.09875, 281.92465, 282.37344],\n",
        "       [283.1577 , 282.97922, 283.41135],\n",
-       "       [282.7805 , 282.59613, 283.04648]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-294a72fe-3984-4d88-a84d-daa060fdbb99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-294a72fe-3984-4d88-a84d-daa060fdbb99' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>history :</span></dt><dd>2011-06-01T01:20:15Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.\n",
+       "       [282.7805 , 282.59613, 283.04648]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f2e4823-b6c7-44e1-b5bb-3db4a3bc5d3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f2e4823-b6c7-44e1-b5bb-3db4a3bc5d3c' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>history :</span></dt><dd>2011-06-01T01:20:15Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.\n",
        "2016-01-19T05:16:03: Interpolate to nrcan_livneh grid.\n",
        "2016-02-10T09:50:15: Bias correction using nrcan_livneh.</dd><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)\n",
        "30-day moving window 50-bins quantile mapping with detrending.</dd><dt><span>redistribution :</span></dt><dd>Redistribution prohibited. For internal use only.</dd><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
@@ -1114,10 +1114,10 @@
    "id": "023b40ce",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:48.522511Z",
-     "iopub.status.busy": "2022-06-23T16:02:48.522042Z",
-     "iopub.status.idle": "2022-06-23T16:02:49.629270Z",
-     "shell.execute_reply": "2022-06-23T16:02:49.628525Z"
+     "iopub.execute_input": "2022-06-23T18:55:58.643061Z",
+     "iopub.status.busy": "2022-06-23T18:55:58.642664Z",
+     "iopub.status.idle": "2022-06-23T18:55:59.639847Z",
+     "shell.execute_reply": "2022-06-23T18:55:59.639473Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1307,10 +1307,10 @@
    "id": "e976d3e5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:49.632188Z",
-     "iopub.status.busy": "2022-06-23T16:02:49.631925Z",
-     "iopub.status.idle": "2022-06-23T16:02:49.786160Z",
-     "shell.execute_reply": "2022-06-23T16:02:49.785523Z"
+     "iopub.execute_input": "2022-06-23T18:55:59.653268Z",
+     "iopub.status.busy": "2022-06-23T18:55:59.652888Z",
+     "iopub.status.idle": "2022-06-23T18:55:59.763672Z",
+     "shell.execute_reply": "2022-06-23T18:55:59.763976Z"
     }
    },
    "outputs": [
@@ -1347,10 +1347,10 @@
    "id": "a9dde0db",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:49.788971Z",
-     "iopub.status.busy": "2022-06-23T16:02:49.788738Z",
-     "iopub.status.idle": "2022-06-23T16:02:49.999247Z",
-     "shell.execute_reply": "2022-06-23T16:02:49.998076Z"
+     "iopub.execute_input": "2022-06-23T18:55:59.768047Z",
+     "iopub.status.busy": "2022-06-23T18:55:59.767632Z",
+     "iopub.status.idle": "2022-06-23T18:55:59.935383Z",
+     "shell.execute_reply": "2022-06-23T18:55:59.935705Z"
     }
    },
    "outputs": [],
@@ -1367,10 +1367,10 @@
    "id": "08e3483f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:50.003154Z",
-     "iopub.status.busy": "2022-06-23T16:02:50.002858Z",
-     "iopub.status.idle": "2022-06-23T16:02:50.991503Z",
-     "shell.execute_reply": "2022-06-23T16:02:50.990796Z"
+     "iopub.execute_input": "2022-06-23T18:55:59.942841Z",
+     "iopub.status.busy": "2022-06-23T18:55:59.940345Z",
+     "iopub.status.idle": "2022-06-23T18:56:00.761961Z",
+     "shell.execute_reply": "2022-06-23T18:56:00.761649Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1410,10 +1410,10 @@
    "id": "81b47e25",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:50.994895Z",
-     "iopub.status.busy": "2022-06-23T16:02:50.994574Z",
-     "iopub.status.idle": "2022-06-23T16:02:50.999314Z",
-     "shell.execute_reply": "2022-06-23T16:02:50.998477Z"
+     "iopub.execute_input": "2022-06-23T18:56:00.765499Z",
+     "iopub.status.busy": "2022-06-23T18:56:00.765103Z",
+     "iopub.status.idle": "2022-06-23T18:56:00.768221Z",
+     "shell.execute_reply": "2022-06-23T18:56:00.767890Z"
     }
    },
    "outputs": [
@@ -1438,13 +1438,13 @@
    "id": "db34519a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:51.001951Z",
-     "iopub.status.busy": "2022-06-23T16:02:51.001725Z",
-     "iopub.status.idle": "2022-06-23T16:02:52.068406Z",
-     "shell.execute_reply": "2022-06-23T16:02:52.067729Z"
+     "iopub.execute_input": "2022-06-23T18:56:00.773139Z",
+     "iopub.status.busy": "2022-06-23T18:56:00.772722Z",
+     "iopub.status.idle": "2022-06-23T18:56:01.869974Z",
+     "shell.execute_reply": "2022-06-23T18:56:01.869498Z"
     },
     "tags": [
-      "nbval-skip"
+     "nbval-skip"
     ]
    },
    "outputs": [],
@@ -1464,10 +1464,10 @@
    "id": "46026a4b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:52.071201Z",
-     "iopub.status.busy": "2022-06-23T16:02:52.070972Z",
-     "iopub.status.idle": "2022-06-23T16:02:52.128279Z",
-     "shell.execute_reply": "2022-06-23T16:02:52.127449Z"
+     "iopub.execute_input": "2022-06-23T18:56:01.875185Z",
+     "iopub.status.busy": "2022-06-23T18:56:01.874699Z",
+     "iopub.status.idle": "2022-06-23T18:56:01.921592Z",
+     "shell.execute_reply": "2022-06-23T18:56:01.921110Z"
     },
     "tags": [
      "nbval-skip"
@@ -1852,7 +1852,7 @@
        "    institution:     Norwegian Climate Centre\n",
        "    source:          NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-v...\n",
        "    redistribution:  Redistribution prohibited. For internal use only.\n",
-       "    regrid_method:   conservative</pre><div class='xr-wrap' style='display:none'><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-bf328c7b-2360-4de2-adfb-7fc5bddb61ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf328c7b-2360-4de2-adfb-7fc5bddb61ff' 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>: 31</li><li><span class='xr-has-index'>geom</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4f8a6c18-413a-4353-8aca-5c682df860d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4f8a6c18-413a-4353-8aca-5c682df860d7' class='xr-section-summary' >Coordinates: <span>(12)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2050-01-01</div><input id='attrs-32d31afd-bf54-47c0-a2a9-887b0532a6df' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-32d31afd-bf54-47c0-a2a9-887b0532a6df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4389ced-be6c-445c-8304-23e6e6eb116f' class='xr-var-data-in' type='checkbox'><label for='data-c4389ced-be6c-445c-8304-23e6e6eb116f' 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;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;,\n",
+       "    regrid_method:   conservative</pre><div class='xr-wrap' style='display:none'><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-e254f201-8363-4ba1-bf8d-cb22db6d231c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e254f201-8363-4ba1-bf8d-cb22db6d231c' 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>: 31</li><li><span class='xr-has-index'>geom</span>: 7</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bb162ab1-7099-4d49-b262-bbcfd5ccb3ef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb162ab1-7099-4d49-b262-bbcfd5ccb3ef' class='xr-section-summary' >Coordinates: <span>(12)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2050-01-01</div><input id='attrs-63466f59-15e1-40f5-81b7-92e40a6b6766' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63466f59-15e1-40f5-81b7-92e40a6b6766' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18c5427d-61d0-471c-aef6-20a53c6f2691' class='xr-var-data-in' type='checkbox'><label for='data-18c5427d-61d0-471c-aef6-20a53c6f2691' 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;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2022-01-01T00:00:00.000000000&#x27;, &#x27;2023-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2024-01-01T00:00:00.000000000&#x27;, &#x27;2025-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2026-01-01T00:00:00.000000000&#x27;, &#x27;2027-01-01T00:00:00.000000000&#x27;,\n",
@@ -1867,28 +1867,28 @@
        "       &#x27;2044-01-01T00:00:00.000000000&#x27;, &#x27;2045-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2046-01-01T00:00:00.000000000&#x27;, &#x27;2047-01-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2048-01-01T00:00:00.000000000&#x27;, &#x27;2049-01-01T00:00:00.000000000&#x27;,\n",
-       "       &#x27;2050-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4dae5c1-37c2-4f74-badc-c88023f724e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4dae5c1-37c2-4f74-badc-c88023f724e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e118743b-921b-4209-b44c-39709dbde7a8' class='xr-var-data-in' type='checkbox'><label for='data-e118743b-921b-4209-b44c-39709dbde7a8' 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([-76.756984, -79.111026, -77.932891, -78.559943, -78.87371 , -76.160389,\n",
-       "       -77.094422])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cac3881-65a9-4422-8023-fd0280e4072b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cac3881-65a9-4422-8023-fd0280e4072b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b8a446-7671-47a0-a196-1e02774aee89' class='xr-var-data-in' type='checkbox'><label for='data-12b8a446-7671-47a0-a196-1e02774aee89' 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([48.152176, 48.747089, 48.673527, 47.129865, 48.132749, 46.906679,\n",
-       "       46.426215])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geom</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6</div><input id='attrs-14b200f1-5d62-4f57-b805-aaee961243a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14b200f1-5d62-4f57-b805-aaee961243a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-292ceafd-66b4-4a1b-8d75-18be9a674967' class='xr-var-data-in' type='checkbox'><label for='data-292ceafd-66b4-4a1b-8d75-18be9a674967' 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, 1, 2, 3, 4, 5, 6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_NO_IND</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb241d32-0611-4b45-b15f-e818d7f832e5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb241d32-0611-4b45-b15f-e818d7f832e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a15dd508-8742-4926-80a9-7c439667ac8e' class='xr-var-data-in' type='checkbox'><label for='data-a15dd508-8742-4926-80a9-7c439667ac8e' 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;50 02 0030 000&#x27;, &#x27;50 02 0010 000&#x27;, &#x27;50 02 0030 000&#x27;, &#x27;50 02 0030 000&#x27;,\n",
-       "       &#x27;50 02 0040 000&#x27;, &#x27;50 02 0030 000&#x27;, &#x27;50 02 0010 000&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_DE_IND</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc471c34-9fcf-43b6-9be4-80d4f38c9a78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc471c34-9fcf-43b6-9be4-80d4f38c9a78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baba0ed5-1d01-41f0-b7ab-391087ff88e6' class='xr-var-data-in' type='checkbox'><label for='data-baba0ed5-1d01-41f0-b7ab-391087ff88e6' 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;MRC (incluant les territoires autochtones)&#x27;,\n",
+       "       &#x27;2050-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0eefc031-8630-45c4-9ad9-48a13cca61fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0eefc031-8630-45c4-9ad9-48a13cca61fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-479bd972-191e-497d-adce-be45c03a305c' class='xr-var-data-in' type='checkbox'><label for='data-479bd972-191e-497d-adce-be45c03a305c' 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([-76.756984, -79.111026, -77.932891, -78.559943, -78.87371 , -76.160389,\n",
+       "       -77.094422])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7aaea13e-aafd-44a1-b7f2-86a07573239e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7aaea13e-aafd-44a1-b7f2-86a07573239e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e089803c-bd3d-404e-bf83-2d192329799a' class='xr-var-data-in' type='checkbox'><label for='data-e089803c-bd3d-404e-bf83-2d192329799a' 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([48.152176, 48.747089, 48.673527, 47.129865, 48.132749, 46.906679,\n",
+       "       46.426215])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>geom</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6</div><input id='attrs-2f838f22-1ac7-46d0-80ff-834280b8b2a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f838f22-1ac7-46d0-80ff-834280b8b2a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b56148d-68fd-4561-8f29-5f77569a4d92' class='xr-var-data-in' type='checkbox'><label for='data-5b56148d-68fd-4561-8f29-5f77569a4d92' 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, 1, 2, 3, 4, 5, 6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_NO_IND</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca31e155-5b73-44db-ade5-6501d416b5c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca31e155-5b73-44db-ade5-6501d416b5c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5baacfb-f558-4af4-a14a-9e541c85fd19' class='xr-var-data-in' type='checkbox'><label for='data-b5baacfb-f558-4af4-a14a-9e541c85fd19' 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;50 02 0030 000&#x27;, &#x27;50 02 0010 000&#x27;, &#x27;50 02 0030 000&#x27;, &#x27;50 02 0030 000&#x27;,\n",
+       "       &#x27;50 02 0040 000&#x27;, &#x27;50 02 0030 000&#x27;, &#x27;50 02 0010 000&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_DE_IND</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-698aa862-c65f-45d7-857a-9325d1447fff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-698aa862-c65f-45d7-857a-9325d1447fff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b18c7c3-4fed-4059-925f-d809be8792ab' class='xr-var-data-in' type='checkbox'><label for='data-2b18c7c3-4fed-4059-925f-d809be8792ab' 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;MRC (incluant les territoires autochtones)&#x27;,\n",
        "       &#x27;Municipalité régionale de comté&#x27;,\n",
        "       &#x27;MRC (incluant les territoires autochtones)&#x27;,\n",
        "       &#x27;MRC (incluant les territoires autochtones)&#x27;,\n",
        "       &#x27;Municipalité régionale de comté géographique&#x27;,\n",
        "       &#x27;MRC (incluant les territoires autochtones)&#x27;,\n",
-       "       &#x27;Municipalité régionale de comté&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_MRC</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99cb2f39-ca67-4628-a9e1-29c57846b4ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99cb2f39-ca67-4628-a9e1-29c57846b4ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0a2320c-4abe-47d1-a64b-85679ab66618' class='xr-var-data-in' type='checkbox'><label for='data-e0a2320c-4abe-47d1-a64b-85679ab66618' 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;89&#x27;, &#x27;87&#x27;, &#x27;88&#x27;, &#x27;85&#x27;, &#x27;86&#x27;, &#x27;83&#x27;, &#x27;84&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_NM_MRC</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-654e4cae-5e92-4d34-99e5-d1529fd98de8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-654e4cae-5e92-4d34-99e5-d1529fd98de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e98ce30-c575-4ec1-9533-32641cae3a5b' class='xr-var-data-in' type='checkbox'><label for='data-9e98ce30-c575-4ec1-9533-32641cae3a5b' 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([&quot;La Vallée-de-l&#x27;Or&quot;, &#x27;Abitibi-Ouest&#x27;, &#x27;Abitibi&#x27;, &#x27;Témiscamingue&#x27;,\n",
-       "       &#x27;Rouyn-Noranda&#x27;, &#x27;La Vallée-de-la-Gatineau&#x27;, &#x27;Pontiac&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_REG</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f75f493d-6509-443f-8630-75ffec6e5f57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f75f493d-6509-443f-8630-75ffec6e5f57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88074e7a-621f-45b1-90eb-e6d34ead1c4d' class='xr-var-data-in' type='checkbox'><label for='data-88074e7a-621f-45b1-90eb-e6d34ead1c4d' 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;08&#x27;, &#x27;08&#x27;, &#x27;08&#x27;, &#x27;08&#x27;, &#x27;08&#x27;, &#x27;07&#x27;, &#x27;07&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_NM_REG</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a83c3aa-2e86-42c0-a62d-12bd5e603104' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a83c3aa-2e86-42c0-a62d-12bd5e603104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16dc4a20-71ce-43d5-a489-4c4a69aa7894' class='xr-var-data-in' type='checkbox'><label for='data-16dc4a20-71ce-43d5-a489-4c4a69aa7894' 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;Abitibi-Témiscamingue&#x27;, &#x27;Abitibi-Témiscamingue&#x27;,\n",
+       "       &#x27;Municipalité régionale de comté&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_MRC</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-acb3a2af-d51a-4be8-952d-34dca15ae29d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acb3a2af-d51a-4be8-952d-34dca15ae29d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f0f45b-4af3-410b-a18e-a12e8fc1f717' class='xr-var-data-in' type='checkbox'><label for='data-c1f0f45b-4af3-410b-a18e-a12e8fc1f717' 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;89&#x27;, &#x27;87&#x27;, &#x27;88&#x27;, &#x27;85&#x27;, &#x27;86&#x27;, &#x27;83&#x27;, &#x27;84&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_NM_MRC</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cfdf69ef-353d-4252-be3a-f8f95d365b03' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cfdf69ef-353d-4252-be3a-f8f95d365b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-234efecd-09f9-49b7-a652-27c9b10fc715' class='xr-var-data-in' type='checkbox'><label for='data-234efecd-09f9-49b7-a652-27c9b10fc715' 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([&quot;La Vallée-de-l&#x27;Or&quot;, &#x27;Abitibi-Ouest&#x27;, &#x27;Abitibi&#x27;, &#x27;Témiscamingue&#x27;,\n",
+       "       &#x27;Rouyn-Noranda&#x27;, &#x27;La Vallée-de-la-Gatineau&#x27;, &#x27;Pontiac&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_REG</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42349f8d-6457-43ef-89c3-5c9900727cf0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42349f8d-6457-43ef-89c3-5c9900727cf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b29c40c7-57a3-4612-be20-a9c95788c48a' class='xr-var-data-in' type='checkbox'><label for='data-b29c40c7-57a3-4612-be20-a9c95788c48a' 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;08&#x27;, &#x27;08&#x27;, &#x27;08&#x27;, &#x27;08&#x27;, &#x27;08&#x27;, &#x27;07&#x27;, &#x27;07&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_NM_REG</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43af664b-26a3-49d0-8ab3-5c48f03f23ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43af664b-26a3-49d0-8ab3-5c48f03f23ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88061213-33ec-444c-9263-70188f1f1115' class='xr-var-data-in' type='checkbox'><label for='data-88061213-33ec-444c-9263-70188f1f1115' 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;Abitibi-Témiscamingue&#x27;, &#x27;Abitibi-Témiscamingue&#x27;,\n",
        "       &#x27;Abitibi-Témiscamingue&#x27;, &#x27;Abitibi-Témiscamingue&#x27;,\n",
-       "       &#x27;Abitibi-Témiscamingue&#x27;, &#x27;Outaouais&#x27;, &#x27;Outaouais&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_REF</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7237e273-f1bc-4d13-b42d-65f0d241320c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7237e273-f1bc-4d13-b42d-65f0d241320c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a83efabd-d96c-4f22-a247-afe4c90be093' class='xr-var-data-in' type='checkbox'><label for='data-a83efabd-d96c-4f22-a247-afe4c90be093' 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;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;],\n",
-       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_VER</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec4b58cc-d247-4a03-8a14-ced4bececfb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ec4b58cc-d247-4a03-8a14-ced4bececfb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c5abc0c-c255-434f-8d5e-3acc83dfff6d' class='xr-var-data-in' type='checkbox'><label for='data-9c5abc0c-c255-434f-8d5e-3acc83dfff6d' 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;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;,\n",
-       "       &#x27;V2021-02&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e14f797-c12d-4f05-9cc0-5e1473a56e47' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e14f797-c12d-4f05-9cc0-5e1473a56e47' class='xr-section-summary' >Data variables: <span>(1)</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>tg_mean_annual</span></div><div class='xr-var-dims'>(time, geom)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5b56ab4-61bb-4334-b92b-417cef89dae4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5b56ab4-61bb-4334-b92b-417cef89dae4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1fc0700-5c1f-4f71-9036-2f8487210dda' class='xr-var-data-in' type='checkbox'><label for='data-a1fc0700-5c1f-4f71-9036-2f8487210dda' 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>K</dd><dt><span>cell_methods :</span></dt><dd> time: mean within days time: mean within days time: mean over days</dd><dt><span>xclim_history :</span></dt><dd>[2021-08-11 09:17:14] tg_mean_annual: agriclimat.TG_MEAN_ANNUAL(tas=&lt;array&gt;, freq=&#x27;YS&#x27;) - xclim version: 0.27.5-beta.</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Mean daily mean temperature</dd><dt><span>description :</span></dt><dd>Annual mean of daily mean temperature.</dd><dt><span>long_name_fr :</span></dt><dd>Moyenne de la température journalière moyenne</dd><dt><span>description_fr :</span></dt><dd>Moyenne annuelle de la température journalière moyenne</dd><dt><span>comment_fr :</span></dt><dd></dd><dt><span>_ChunkSizes :</span></dt><dd>[60 40 32]</dd></dl></div><div class='xr-var-data'><pre>array([[275.5102 , 275.30804, 275.27954, ..., 276.0464 , 276.98886, 277.89856],\n",
+       "       &#x27;Abitibi-Témiscamingue&#x27;, &#x27;Outaouais&#x27;, &#x27;Outaouais&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_REF</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69dad702-930b-48ab-9652-848cd7f5ab60' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69dad702-930b-48ab-9652-848cd7f5ab60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260eafdf-0937-4484-bda1-67df19a2de72' class='xr-var-data-in' type='checkbox'><label for='data-260eafdf-0937-4484-bda1-67df19a2de72' 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;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;, &#x27;SDA20K&#x27;],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRS_CO_VER</span></div><div class='xr-var-dims'>(geom)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4afce96d-a56b-41ae-b5d3-3b0cb4c1d154' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4afce96d-a56b-41ae-b5d3-3b0cb4c1d154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e92ffc9-a58b-445e-84ae-465b2cd64b0f' class='xr-var-data-in' type='checkbox'><label for='data-5e92ffc9-a58b-445e-84ae-465b2cd64b0f' 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;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;, &#x27;V2021-02&#x27;,\n",
+       "       &#x27;V2021-02&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8519c821-c779-4f4a-8b96-2fa318569630' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8519c821-c779-4f4a-8b96-2fa318569630' class='xr-section-summary' >Data variables: <span>(1)</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>tg_mean_annual</span></div><div class='xr-var-dims'>(time, geom)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bca1d93-cc50-4f20-a695-b3dbc28110d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bca1d93-cc50-4f20-a695-b3dbc28110d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd74108c-1b5b-4739-b03e-e5a279bb2d25' class='xr-var-data-in' type='checkbox'><label for='data-fd74108c-1b5b-4739-b03e-e5a279bb2d25' 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>K</dd><dt><span>cell_methods :</span></dt><dd> time: mean within days time: mean within days time: mean over days</dd><dt><span>xclim_history :</span></dt><dd>[2021-08-11 09:17:14] tg_mean_annual: agriclimat.TG_MEAN_ANNUAL(tas=&lt;array&gt;, freq=&#x27;YS&#x27;) - xclim version: 0.27.5-beta.</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>long_name :</span></dt><dd>Mean daily mean temperature</dd><dt><span>description :</span></dt><dd>Annual mean of daily mean temperature.</dd><dt><span>long_name_fr :</span></dt><dd>Moyenne de la température journalière moyenne</dd><dt><span>description_fr :</span></dt><dd>Moyenne annuelle de la température journalière moyenne</dd><dt><span>comment_fr :</span></dt><dd></dd><dt><span>_ChunkSizes :</span></dt><dd>[60 40 32]</dd></dl></div><div class='xr-var-data'><pre>array([[275.5102 , 275.30804, 275.27954, ..., 276.0464 , 276.98886, 277.89856],\n",
        "       [275.6804 , 275.53677, 275.47397, ..., 276.31674, 277.07428, 277.89096],\n",
        "       [276.14392, 275.95065, 275.94858, ..., 276.68753, 277.50842, 278.35504],\n",
        "       ...,\n",
        "       [276.94772, 276.69022, 276.65686, ..., 277.5143 , 278.46194, 279.40155],\n",
        "       [278.16354, 277.92688, 277.89392, ..., 278.71936, 279.70706, 280.51218],\n",
        "       [277.5508 , 277.4545 , 277.33646, ..., 278.22455, 279.19547, 280.14343]],\n",
-       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fa46838-ae32-4a19-bb5c-9172dd704be4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fa46838-ae32-4a19-bb5c-9172dd704be4' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>history :</span></dt><dd>2011-06-01T01:20:15Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4cbf869f-31df-4a0c-978f-75769419a0c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4cbf869f-31df-4a0c-978f-75769419a0c1' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.5</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>history :</span></dt><dd>2011-06-01T01:20:15Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.\n",
        "2016-01-19T05:16:03: Interpolate to nrcan_livneh grid.\n",
        "2016-02-10T09:50:15: Bias correction using nrcan_livneh.</dd><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)\n",
        "30-day moving window 50-bins quantile mapping with detrending.</dd><dt><span>redistribution :</span></dt><dd>Redistribution prohibited. For internal use only.</dd><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
@@ -1937,10 +1937,10 @@
    "id": "db5267fd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-06-23T16:02:52.131255Z",
-     "iopub.status.busy": "2022-06-23T16:02:52.131010Z",
-     "iopub.status.idle": "2022-06-23T16:02:52.135278Z",
-     "shell.execute_reply": "2022-06-23T16:02:52.134716Z"
+     "iopub.execute_input": "2022-06-23T18:56:01.924838Z",
+     "iopub.status.busy": "2022-06-23T18:56:01.924379Z",
+     "iopub.status.idle": "2022-06-23T18:56:01.927662Z",
+     "shell.execute_reply": "2022-06-23T18:56:01.926987Z"
     }
    },
    "outputs": [],
@@ -1967,7 +1967,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/environment.yml b/environment.yml
index 933ada16..7fee679c 100644
--- a/environment.yml
+++ b/environment.yml
@@ -21,7 +21,7 @@ dependencies:
   - siphon
   - bottleneck
   # remember to match xclim version in environment-docs.yml as well
-  - xclim == 0.31
+  - xclim == 0.37
   - clisops >= 0.8.0
   - pywps >= 4.5.1
   - parse
diff --git a/finch/processes/constants.py b/finch/processes/constants.py
index 1120849e..16529584 100644
--- a/finch/processes/constants.py
+++ b/finch/processes/constants.py
@@ -1,4 +1,4 @@
-from xclim.core.utils import VARIABLES
+from xclim.testing import list_input_variables
 
 BCCAQV2_MODELS = [
     "BNU-ESM",
@@ -49,23 +49,25 @@
 
 ALLOWED_MODEL_NAMES = [ALL_24_MODELS, PCIC_12] + BCCAQV2_MODELS
 
-# a list of all posible netcdf arguments in xclim
-# Read in the list of variables from xclim directly and add some other less documented.
-xclim_netcdf_variables = set(VARIABLES.keys()).union(
-    {
-        "per",
-        "q",
-        "da",
-        "tn10",
-        "tn90",
-        "tx90",
-        "t10",
-        "t90",
-        "tas_25",
-        "tas_75",
-        "pr_25",
-        "pr_75"
-    }
-)
-
 bccaq_variables = {"tasmin", "tasmax", "pr"}
+
+xclim_variables = set(list_input_variables(submodules=["atmos", "land", "seaIce"]).keys())
+
+default_percentiles = {
+    'days_over_precip_thresh': {'pr_per': 95},
+    'days_over_precip_doy_thresh': {'pr_per': 95},
+    'fraction_over_precip_doy_thresh': {'pr_per': 95},
+    'fraction_over_precip_thresh': {'pr_per': 95},
+    'cold_and_dry_days': {'pr_per': 25, 'tas_per': 25},
+    'warm_and_dry_days': {'pr_per': 25, 'tas_per': 75},
+    'warm_and_wet_days': {'pr_per': 75, 'tas_per': 75},
+    'cold_and_wet_days': {'pr_per': 75, 'tas_per': 25},
+    'tg90p': {'tas_per': 90},
+    'tg10p': {'tas_per': 10},
+    'tn90p': {'tasmin_per': 90},
+    'tn10p': {'tasmin_per': 10},
+    'tx90p': {'tasmax_per': 90},
+    'tx10p': {'tasmax_per': 10},
+    'cold_spell_duration_index': {'tasmin_per': 10},
+    'warm_spell_duration_index': {'tasmax_per': 90},
+}
diff --git a/finch/processes/ensemble_utils.py b/finch/processes/ensemble_utils.py
index 57bfebee..848a6385 100644
--- a/finch/processes/ensemble_utils.py
+++ b/finch/processes/ensemble_utils.py
@@ -12,9 +12,11 @@
 from pywps.app.exceptions import ProcessError
 from siphon.catalog import TDSCatalog
 import xarray as xr
+from xclim.indicators.atmos import tg
 from xclim import ensembles
-from xclim.core.indicator import Indicator
 from xclim.core.calendar import percentile_doy, doy_to_days_since, days_since_to_doy
+from xclim.core.indicator import Indicator
+from xclim.core.utils import InputKind
 
 from .constants import (
     ALL_24_MODELS,
@@ -22,7 +24,7 @@
     PCIC_12,
     PCIC_12_MODELS_REALIZATIONS,
     bccaq_variables,
-    xclim_netcdf_variables,
+    xclim_variables
 )
 from .subset import finch_subset_bbox, finch_subset_gridpoint, finch_subset_shape
 from .utils import (
@@ -72,49 +74,20 @@ def from_filename(cls, filename):
             return
 
 
-def _tas(tasmin: xr.Dataset, tasmax: xr.Dataset) -> xr.Dataset:
-    """Compute daily mean temperature, and set attributes in the output Dataset."""
-
-    tas = (tasmin["tasmin"] + tasmax["tasmax"]) / 2
-    tas_ds = tas.to_dataset(name="tas")
-    tas_ds.attrs = tasmin.attrs
-    tas_ds["tas"].attrs = tasmin["tasmin"].attrs
-    tas_ds["tas"].attrs["long_name"] = "Daily Mean Near-Surface Air Temperature"
-    tas_ds["tas"].attrs["cell_methods"] = "time: mean within days"
-    return tas_ds
-
-
-def _percentile_doy_tn10(tasmin: xr.Dataset):
-    return percentile_doy(tasmin.tasmin, per=10).sel(percentiles=10, drop=True).to_dataset(name="tn10")
-
-
-def _percentile_doy_tn90(tasmin: xr.Dataset):
-    return percentile_doy(tasmin.tasmin, per=90).sel(percentiles=90, drop=True).to_dataset(name="tn90")
-
-
-def _percentile_doy_tx90(tasmax: xr.Dataset):
-    return percentile_doy(tasmax.tasmax, per=90).sel(percentiles=90, drop=True).to_dataset(name="tx90")
-
-
-def _percentile_doy_t10(tas: xr.Dataset):
-    return percentile_doy(tas.tas, per=10).sel(percentiles=10, drop=True).to_dataset(name="t10")
-
-
-def _percentile_doy_t90(tas: xr.Dataset):
-    return percentile_doy(tas.tas, per=90).sel(percentiles=90, drop=True).to_dataset(name="t90")
+def _percentile_doy(var: xr.DataArray, perc: int) -> xr.DataArray:
+    return percentile_doy(var, per=perc).sel(percentiles=perc, drop=True)
 
 
 variable_computations = {
-    "tas": {"inputs": ["tasmin", "tasmax"], "function": _tas},
-    "tn10": {"inputs": ["tasmin"], "function": _percentile_doy_tn10},
-    "tn90": {"inputs": ["tasmin"], "function": _percentile_doy_tn90},
-    "tx90": {"inputs": ["tasmax"], "function": _percentile_doy_tx90},
-    "t10": {"inputs": ["tas"], "function": _percentile_doy_t10},
-    "t90": {"inputs": ["tas"], "function": _percentile_doy_t90},
+    "tas": {"inputs": ["tasmin", "tasmax"], "args": [], "function": tg},
+    "tasmax_per": {"inputs": ["tasmax"], "args": ["perc_tasmax"], "function": _percentile_doy},
+    "tasmin_per": {"inputs": ["tasmin"], "args": ["perc_tasmin"], "function": _percentile_doy},
+    "tas_per": {"inputs": ["tas"], "args": ["perc_tas"], "function": _percentile_doy},
+    "pr_per": {"inputs": ["pr"], "args": ["perc_pr"], "function": _percentile_doy}
 }
 
 accepted_variables = bccaq_variables.union(variable_computations)
-not_implemented_variables = xclim_netcdf_variables - accepted_variables
+not_implemented_variables = xclim_variables - accepted_variables
 
 
 class ParsingMethod(Enum):
@@ -352,7 +325,11 @@ def make_output_filename(process: Process, inputs: List[PywpsInput], rcp=None):
 
 def uses_accepted_netcdf_variables(indicator: Indicator) -> bool:
     """Returns True if this indicator uses  netcdf variables in `accepted_variables`."""
-    return not any(p in not_implemented_variables for p in indicator.parameters)
+    return not any(
+        n in not_implemented_variables
+        for n, p in indicator.parameters.items()
+        if p.kind in [InputKind.VARIABLE, InputKind.OPTIONAL_VARIABLE]
+    )
 
 
 def make_indicator_inputs(
@@ -444,7 +421,7 @@ def make_ensemble(files: List[Path], percentiles: List[int], average_dims: Optio
 
 
 def compute_intermediate_variables(
-    files_list: List[Path], required_variable_names: Iterable[str], workdir: Path
+    files_list: List[Path], required_variable_names: Iterable[str], workdir: Path, request_inputs,
 ) -> List[Path]:
     """Compute netcdf datasets from a list of required variable names and existing files."""
 
@@ -473,10 +450,12 @@ def compute_intermediate_variables(
         while variables_to_compute:
             for variable in list(variables_to_compute):
                 input_names = variable_computations[variable]["inputs"]
-                if all(i in group for i in input_names):
-                    inputs = [xr.open_dataset(group[name]) for name in input_names]
+                arg_names = variable_computations[variable]["args"]
+                if all(i in group for i in input_names) and all(a in request_inputs for a in arg_names):
+                    inputs = [xr.open_dataset(group[name])[name] for name in input_names]
+                    args = [single_input_or_none(request_inputs, name) for name in arg_names]
 
-                    output = variable_computations[variable]["function"](*inputs)
+                    output = variable_computations[variable]["function"](*inputs, *args).to_dataset(name=variable)
                     output_file = Path(workdir) / f"{variable}_{output_basename}"
                     dataset_to_netcdf(output, output_file)
 
@@ -517,9 +496,10 @@ def ensemble_common_handler(process: Process, request, response, subset_function
 
     xci_inputs = process.xci_inputs_identifiers
     request_inputs_not_datasets = {
-        k: v for k, v in request.inputs.items() if k in xci_inputs
+        k: v for k, v in request.inputs.items() if k in xci_inputs and not k.startswith('perc')
     }
-    dataset_input_names = accepted_variables.intersection(xci_inputs)
+    percentile_vars = {f"{k.split('_')[1]}_per" for k in xci_inputs if k.startswith('perc')}
+    dataset_input_names = accepted_variables.intersection(percentile_vars.union(xci_inputs))
     source_variable_names = bccaq_variables.intersection(
         get_sub_inputs(dataset_input_names)
     )
@@ -573,9 +553,8 @@ def ensemble_common_handler(process: Process, request, response, subset_function
             raise ProcessError(message)
 
         subsetted_intermediate_files = compute_intermediate_variables(
-            subsetted_files, dataset_input_names, process.workdir
+            subsetted_files, dataset_input_names, process.workdir, request.inputs,
         )
-
         write_log(process, f"Computing indices rcp={rcp}", process_step="compute_indices")
 
         input_groups = make_indicator_inputs(
diff --git a/finch/processes/utils.py b/finch/processes/utils.py
index ed49a130..e51976a9 100644
--- a/finch/processes/utils.py
+++ b/finch/processes/utils.py
@@ -2,7 +2,6 @@
 import logging
 from multiprocessing.pool import ThreadPool
 from pathlib import Path
-import re
 import json
 from typing import (
     Callable,
diff --git a/finch/processes/wps_base.py b/finch/processes/wps_base.py
index 2c99fdf2..7544b917 100644
--- a/finch/processes/wps_base.py
+++ b/finch/processes/wps_base.py
@@ -12,7 +12,7 @@
 
 from xclim.core.utils import InputKind
 
-from .constants import xclim_netcdf_variables
+from .constants import default_percentiles
 from .utils import PywpsInput
 
 
@@ -115,8 +115,12 @@ def make_xclim_indicator_process(
     return process  # type: ignore
 
 
-def convert_xclim_inputs_to_pywps(params: Dict, parent=None) -> List[PywpsInput]:
-    """Convert xclim indicators properties to pywps inputs."""
+def convert_xclim_inputs_to_pywps(params: Dict, parent=None, parse_percentiles: bool = False) -> List[PywpsInput]:
+    """Convert xclim indicators properties to pywps inputs.
+
+    If parse_percentiles is True, percentile variables (*_per) are dropped and replaced by
+    a "percentile" input (a float) with a default taken from constants.
+    """
     # Ideally this would be based on the Parameters docstring section rather than name conventions.
     inputs = []
 
@@ -132,8 +136,28 @@ def convert_xclim_inputs_to_pywps(params: Dict, parent=None) -> List[PywpsInput]
         InputKind.DATE: "datetime",
     }
 
+    if parse_percentiles and parent is None:
+        raise ValueError('The indicator identifier must be passed through `parent` if `parse_percentiles=True`.')
+
     for name, attrs in params.items():
-        if name in xclim_netcdf_variables and attrs['kind'] in [InputKind.VARIABLE, InputKind.OPTIONAL_VARIABLE]:
+        if (
+            parse_percentiles
+            and name.endswith('_per')
+            and attrs['kind'] in [InputKind.VARIABLE, InputKind.OPTIONAL_VARIABLE]
+        ):
+            var_name = name.split('_')[0]
+            inputs.append(
+                LiteralInput(
+                    f"perc_{var_name}",
+                    title=f"{var_name} percentile",
+                    abstract=f"Which percentile to compute and use as threshold for variable {var_name}.",
+                    data_type="integer",
+                    min_occurs=0,
+                    max_occurs=1,
+                    default=default_percentiles[parent][name]
+                )
+            )
+        elif attrs['kind'] in [InputKind.VARIABLE, InputKind.OPTIONAL_VARIABLE]:
             inputs.append(make_nc_input(name))
         elif name in ["freq"]:
             inputs.append(make_freq(name, default=attrs['default'], abstract=attrs['description']))
diff --git a/finch/processes/wps_ensemble_indices_bbox.py b/finch/processes/wps_ensemble_indices_bbox.py
index 16da680a..3be91abb 100644
--- a/finch/processes/wps_ensemble_indices_bbox.py
+++ b/finch/processes/wps_ensemble_indices_bbox.py
@@ -7,7 +7,7 @@
 from . import wpsio
 from .wps_base import FinchProcess, convert_xclim_inputs_to_pywps
 from .ensemble_utils import ensemble_common_handler
-from .constants import xclim_netcdf_variables
+from .constants import xclim_variables
 
 LOGGER = logging.getLogger("PYWPS")
 
@@ -27,7 +27,7 @@ def __init__(self):
                 "Use the `finch.processes.wps_base.make_xclim_indicator_process` function instead."
             )
 
-        xci_inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier)
+        xci_inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier, parse_percentiles=True)
         xci_inputs.extend(wpsio.xclim_common_options)
         self.xci_inputs_identifiers = [i.identifier for i in xci_inputs]
 
@@ -47,7 +47,7 @@ def __init__(self):
 
         # all other inputs that are not the xarray data (window, threshold, etc.)
         for i in xci_inputs:
-            if i.identifier not in xclim_netcdf_variables:
+            if i.identifier not in xclim_variables:
                 inputs.append(i)
 
         inputs.extend([wpsio.output_prefix, wpsio.output_format_netcdf_csv])
diff --git a/finch/processes/wps_ensemble_indices_point.py b/finch/processes/wps_ensemble_indices_point.py
index 6111fd10..6f13bd68 100644
--- a/finch/processes/wps_ensemble_indices_point.py
+++ b/finch/processes/wps_ensemble_indices_point.py
@@ -7,7 +7,7 @@
 from . import wpsio
 from .wps_base import FinchProcess, convert_xclim_inputs_to_pywps
 from .ensemble_utils import ensemble_common_handler
-from .constants import xclim_netcdf_variables
+from .constants import xclim_variables
 
 LOGGER = logging.getLogger("PYWPS")
 
@@ -27,7 +27,7 @@ def __init__(self):
                 "Use the `finch.processes.wps_base.make_xclim_indicator_process` function instead."
             )
 
-        xci_inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier)
+        xci_inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier, parse_percentiles=True)
         xci_inputs.extend(wpsio.xclim_common_options)
         self.xci_inputs_identifiers = [i.identifier for i in xci_inputs]
 
@@ -45,7 +45,7 @@ def __init__(self):
 
         # all other inputs that are not the xarray data (window, threshold, etc.)
         for i in xci_inputs:
-            if i.identifier not in xclim_netcdf_variables:
+            if i.identifier not in xclim_variables:
                 inputs.append(i)
 
         inputs.extend([wpsio.output_prefix, wpsio.output_format_netcdf_csv])
diff --git a/finch/processes/wps_ensemble_indices_polygon.py b/finch/processes/wps_ensemble_indices_polygon.py
index cf72576f..ffd80043 100644
--- a/finch/processes/wps_ensemble_indices_polygon.py
+++ b/finch/processes/wps_ensemble_indices_polygon.py
@@ -5,7 +5,7 @@
 from . import wpsio
 from .wps_base import FinchProcess, convert_xclim_inputs_to_pywps
 from .ensemble_utils import ensemble_common_handler
-from .constants import xclim_netcdf_variables
+from .constants import xclim_variables
 from .subset import finch_subset_shape
 
 LOGGER = logging.getLogger("PYWPS")
@@ -26,7 +26,7 @@ def __init__(self):
                 "Use the `finch.processes.wps_base.make_xclim_indicator_process` function instead."
             )
 
-        xci_inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier)
+        xci_inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier, parse_percentiles=True)
         xci_inputs.extend(wpsio.xclim_common_options)
         self.xci_inputs_identifiers = [i.identifier for i in xci_inputs]
 
@@ -43,7 +43,7 @@ def __init__(self):
 
         # all other inputs that are not the xarray data (window, threshold, etc.)
         for i in xci_inputs:
-            if i.identifier not in xclim_netcdf_variables:
+            if i.identifier not in xclim_variables:
                 inputs.append(i)
 
         inputs.extend([wpsio.output_prefix, wpsio.output_format_netcdf_csv])
diff --git a/finch/processes/wps_sdba.py b/finch/processes/wps_sdba.py
index df367a32..f8b5c215 100644
--- a/finch/processes/wps_sdba.py
+++ b/finch/processes/wps_sdba.py
@@ -46,6 +46,8 @@
         default=1,
         min_occurs=0,
     ),
+)
+adjust_args = dict(
     interp=LiteralInput(
         "interp",
         "Quantile interpolation",
@@ -55,8 +57,6 @@
         allowed_values=["nearest", "linear", "cubic"],
         min_occurs=0,
     ),
-)
-adjust_args = dict(
     extrapolation=LiteralInput(
         "extrapolation",
         "Extrapolation method",
@@ -184,7 +184,7 @@ def _log(message, percentage):
 
         _log("Training object created.", 3)
 
-        out = bc.adjust(res["sim"], interp=group["interp"], **adj).to_dataset(name=name)
+        out = bc.adjust(res["sim"], **adj).to_dataset(name=name)
         _log("Adjustment object created.", 5)
 
         filename = valid_filename(single_input_or_none(request.inputs, "output_name") or "bias_corrected")
diff --git a/finch/processes/wps_xclim_indices.py b/finch/processes/wps_xclim_indices.py
index a5dd28a5..d0f9c02e 100644
--- a/finch/processes/wps_xclim_indices.py
+++ b/finch/processes/wps_xclim_indices.py
@@ -8,7 +8,7 @@
 import xarray as xr
 
 from . import wpsio
-from .constants import xclim_netcdf_variables
+from .constants import xclim_variables
 from .utils import (
     compute_indices,
     dataset_to_dataframe,
@@ -76,7 +76,7 @@ def _handler(self, request, response):
         # Get inputs of compute_indices, split by netCDFs and others
         nc_inputs, other_inputs = {}, {}
         for k, v in request.inputs.items():
-            if k in xclim_netcdf_variables:
+            if k in xclim_variables:
                 nc_inputs[k] = v
             elif k not in ['output_format', 'output_name']:
                 other_inputs[k] = v
diff --git a/requirements.txt b/requirements.txt
index 3db4ef93..5bd8a129 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
 cftime
 pywps>=4.5.1
-xclim==0.31
+xclim==0.37
 xarray>=0.18.2
 pandas
 xesmf>=0.6.2
diff --git a/requirements_docs.txt b/requirements_docs.txt
index 0d63be79..8f6ad4b8 100644
--- a/requirements_docs.txt
+++ b/requirements_docs.txt
@@ -2,6 +2,6 @@ pywps >= 4.5.1
 sphinx >= 4.0
 nbsphinx
 ipython
-xclim~=0.31
+xclim~=0.37
 matplotlib
 birdhouse-birdy>=0.8.1
diff --git a/setup.py b/setup.py
index 8196516c..80d8c3c5 100644
--- a/setup.py
+++ b/setup.py
@@ -11,7 +11,7 @@
 here = os.path.abspath(os.path.dirname(__file__))
 README = open(os.path.join(here, 'README.rst')).read()
 CHANGES = open(os.path.join(here, 'CHANGES.rst')).read()
-REQUIRES_PYTHON = ">=3.7"
+REQUIRES_PYTHON = ">=3.8"
 
 about = {}
 with open(os.path.join(here, "finch", "__version__.py"), "r") as f:
@@ -37,7 +37,9 @@
     "Programming Language :: Python",
     "Natural Language :: English",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.7",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
     "Topic :: Scientific/Engineering :: Atmospheric Science",
     "License :: OSI Approved :: Apache Software License",
 ]


Test patch:
diff --git a/tests/test_wps_ensemble.py b/tests/test_wps_ensemble.py
index 4b405953..d1fe8e46 100644
--- a/tests/test_wps_ensemble.py
+++ b/tests/test_wps_ensemble.py
@@ -1,3 +1,4 @@
+from collections import namedtuple
 from pathlib import Path
 from unittest import mock
 import zipfile
@@ -333,11 +334,12 @@ def test_compute_intermediate_variables(monkeypatch):
     subset_folder = Path(__file__).parent / "data" / "bccaqv2_subset_sample"
     mock_paths = [subset_folder / p for p in mock_filenames]
 
-    required_variables = ["tn10"]
-
+    required_variables = ["tasmin_per"]
+    literal_input = namedtuple('LiteralInput', ['data', 'identifier'])
     # --- when ---
     files_outputs = ensemble_utils.compute_intermediate_variables(
-        mock_paths, required_variables, workdir
+        mock_paths, required_variables, workdir,
+        {'perc_tasmin': [literal_input(10, 'perc_tasmin')]}
     )
 
     # --- then ---
@@ -365,6 +367,7 @@ def test_ensemble_compute_intermediate_cold_spell_duration_index_grid_point(
         wps_literal_input("freq", "YS"),
         wps_literal_input("ensemble_percentiles", "20, 50, 80"),
         wps_literal_input("output_format", "netcdf"),
+        wps_literal_input("perc_tasmin", "10")
     ]
 
     # --- when ---