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

Issue:
"output_name" broken for indicators
## Description

"output_name" gets listed as an input by the indicator WPS processes, but when given those processes fail with "TypeError got an unexpected keyword argument output_name".  The error goes back to xclim : the problem is that the argument is passed to `compute_indices` and then to the indicator. But it's a finch-only think, xclim doesn't recognize it and fails.

## Environment

* Finch version used, if any: 0.8.2, PAVICS andmaster
* Python version, if any: 3.9 and maybe others
* Operating System: Linux

## Steps to Reproduce

```
import os
import xarray as xr
from birdy import WPSClient

pavics_url = "https://pavics.ouranos.ca/twitcher/ows/proxy/finch/wps"
url = os.environ.get("WPS_URL", pavics_url)
verify_ssl = True if "DISABLE_VERIFY_SSL" not in os.environ else False
wps = WPSClient(url, verify=verify_ssl)

tasmin = "https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/testdata/flyingpigeon/cmip3/tasmin.sresa2.miub_echo_g.run1.atm.da.nc"

o = wps.tn_days_below(
    tasmin=tasmin
    thresh="-5 degC",
    freq="YS",
    check_missing="pct",
    output_name="an_output_name",
)
```




Discussion / hints:

Fix patch:
diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 5562e409..a50b7c87 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -26,18 +26,13 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v2
-      - name: Setup conda
-        uses: s-weigand/setup-conda@v1
+      - name: Setup conda and environment
+        uses: mamba-org/provision-with-micromamba@main
         with:
-          update-conda: true
-      - name: Conda version
-        run: conda --version
-      - name: Create finch environment
-        run: conda env create -n finch-wps -f environment.yml
+          cache-downloads: true
       - name: Install and test finch-wps
+        shell: bash -l {0}  # Needed to get into the proper activated env with previous action.
         run: |
-          source activate finch-wps
-          # pip install git+https://github.com/Ouranosinc/xclim.git@master#egg=xclim
           make develop
           make start
           sleep 2
diff --git a/CHANGES.rst b/CHANGES.rst
index 6c88485d..48405717 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -1,6 +1,11 @@
 Changes
 *******
 
+0.9.0 (unreleased)
+==================
+* 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``).
+
 0.8.3 (2022-04-21)
 ==================
 * Preserve RCP dimension in ensemble processes, even when only RCP is selected.
diff --git a/docs/source/notebooks/dap_subset.ipynb b/docs/source/notebooks/dap_subset.ipynb
index 07d64ad0..7ec222d9 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": "2022-02-07T16:24:05.552660Z",
-     "iopub.status.busy": "2022-02-07T16:24:05.550900Z",
-     "iopub.status.idle": "2022-02-07T16:24:25.703949Z",
-     "shell.execute_reply": "2022-02-07T16:24:25.702105Z"
+     "iopub.execute_input": "2022-06-20T23:03:07.952519Z",
+     "iopub.status.busy": "2022-06-20T23:03:07.951854Z",
+     "iopub.status.idle": "2022-06-20T23:03:10.931034Z",
+     "shell.execute_reply": "2022-06-20T23:03:10.930510Z"
     }
    },
    "outputs": [],
@@ -43,10 +43,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:24:25.714707Z",
-     "iopub.status.busy": "2022-02-07T16:24:25.713235Z",
-     "iopub.status.idle": "2022-02-07T16:24:28.051816Z",
-     "shell.execute_reply": "2022-02-07T16:24:28.053048Z"
+     "iopub.execute_input": "2022-06-20T23:03:10.936048Z",
+     "iopub.status.busy": "2022-06-20T23:03:10.933804Z",
+     "iopub.status.idle": "2022-06-20T23:03:11.789315Z",
+     "shell.execute_reply": "2022-06-20T23:03:11.788942Z"
     }
    },
    "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-03389e00-b877-45b1-b08a-c2302edec82d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03389e00-b877-45b1-b08a-c2302edec82d' 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-aab3f463-7c74-496c-a7e4-25708b98cb3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aab3f463-7c74-496c-a7e4-25708b98cb3c' 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-b102e6de-cbc6-4de6-bc53-babbd3a6c058' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b102e6de-cbc6-4de6-bc53-babbd3a6c058' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a91b7031-a4e0-4e72-a315-f527bb82bcbb' class='xr-var-data-in' type='checkbox'><label for='data-a91b7031-a4e0-4e72-a315-f527bb82bcbb' 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-f84ce9d7-38de-442e-9dc3-447e969a2e49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f84ce9d7-38de-442e-9dc3-447e969a2e49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a49a102-cde4-4a0a-8437-485de038a2ff' class='xr-var-data-in' type='checkbox'><label for='data-3a49a102-cde4-4a0a-8437-485de038a2ff' 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-9b2aff66-b8cc-44b7-979f-b62072996ae9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b2aff66-b8cc-44b7-979f-b62072996ae9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5409cc55-6a21-4b7a-ba7c-714fbe021099' class='xr-var-data-in' type='checkbox'><label for='data-5409cc55-6a21-4b7a-ba7c-714fbe021099' 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-07ec31c8-3cc1-408a-8ff4-466ad9024361' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07ec31c8-3cc1-408a-8ff4-466ad9024361' 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-7aa9920a-81e1-4b49-94d9-77e40b9d0517' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7aa9920a-81e1-4b49-94d9-77e40b9d0517' 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-f18f83d3-1a81-4a11-986e-d37f54ba0715' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f18f83d3-1a81-4a11-986e-d37f54ba0715' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-273148ad-a0d7-4070-a722-ff3f4c3f253b' class='xr-var-data-in' type='checkbox'><label for='data-273148ad-a0d7-4070-a722-ff3f4c3f253b' 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-b88b9592-9af2-4b7f-8934-1f029fc9d121' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b88b9592-9af2-4b7f-8934-1f029fc9d121' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52bc4d79-76b8-46d7-8a81-ac820cf8e131' class='xr-var-data-in' type='checkbox'><label for='data-52bc4d79-76b8-46d7-8a81-ac820cf8e131' 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-d0a320ad-1046-4da8-8b70-c000892b0289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0a320ad-1046-4da8-8b70-c000892b0289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97139e58-6b0b-463e-864e-19fb3f1fa037' class='xr-var-data-in' type='checkbox'><label for='data-97139e58-6b0b-463e-864e-19fb3f1fa037' 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-ee87016d-a018-4dc8-8301-e64aa4625565' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee87016d-a018-4dc8-8301-e64aa4625565' 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-ac7d5436-2f0e-46de-841a-a38b7f572626' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac7d5436-2f0e-46de-841a-a38b7f572626' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d8e0333-f2cc-4a8b-a3ae-b8beefa2c80b' class='xr-var-data-in' type='checkbox'><label for='data-3d8e0333-f2cc-4a8b-a3ae-b8beefa2c80b' 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-5a0b55eb-f190-479f-aa1c-0dcb5a8d56d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a0b55eb-f190-479f-aa1c-0dcb5a8d56d9' 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-6047acd4-6ca8-4074-bf69-e71c134bbf24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6047acd4-6ca8-4074-bf69-e71c134bbf24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39539d92-2f90-413e-9bb5-03627257d386' class='xr-var-data-in' type='checkbox'><label for='data-39539d92-2f90-413e-9bb5-03627257d386' 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-ca389707-e7c0-4767-9526-a51e3992e0b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca389707-e7c0-4767-9526-a51e3992e0b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e27e8e05-ad9e-41b9-a3fc-71f0e807fa0e' class='xr-var-data-in' type='checkbox'><label for='data-e27e8e05-ad9e-41b9-a3fc-71f0e807fa0e' 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-c07ba977-c10e-4604-adc5-be92830efef1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c07ba977-c10e-4604-adc5-be92830efef1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0617dffe-7a4c-4be8-bbe0-749b1dc7a221' class='xr-var-data-in' type='checkbox'><label for='data-0617dffe-7a4c-4be8-bbe0-749b1dc7a221' 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-8c702735-e9f1-4f52-be1f-7727d5e01e21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c702735-e9f1-4f52-be1f-7727d5e01e21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feee5aeb-c509-4e73-b562-0fae7e7cbb6f' class='xr-var-data-in' type='checkbox'><label for='data-feee5aeb-c509-4e73-b562-0fae7e7cbb6f' 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-cbccbe81-1e14-45bc-be73-353fba1d39a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbccbe81-1e14-45bc-be73-353fba1d39a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-634d1552-3c8f-498e-bdfa-c83c3b5742ea' class='xr-var-data-in' type='checkbox'><label for='data-634d1552-3c8f-498e-bdfa-c83c3b5742ea' 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-eb4d8287-213b-4b5f-b590-3286b839c369' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb4d8287-213b-4b5f-b590-3286b839c369' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-231a0df0-6406-4f68-9769-b10c58204c31' class='xr-var-data-in' type='checkbox'><label for='data-231a0df0-6406-4f68-9769-b10c58204c31' 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-92219223-d299-4e84-80ee-c4921b0510c2' class='xr-section-summary-in' type='checkbox'  ><label for='section-92219223-d299-4e84-80ee-c4921b0510c2' 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-b5ac37df-4e2a-4b7d-acac-8e5efb0339eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5ac37df-4e2a-4b7d-acac-8e5efb0339eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3483c35-0450-4eb2-9a89-810e7979eb8a' class='xr-var-data-in' type='checkbox'><label for='data-f3483c35-0450-4eb2-9a89-810e7979eb8a' 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-c71ad0cc-20b7-40ca-ac22-cfb337b2491d' class='xr-section-summary-in' type='checkbox'  ><label for='section-c71ad0cc-20b7-40ca-ac22-cfb337b2491d' 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": "2022-02-07T16:24:28.126574Z",
-     "iopub.status.busy": "2022-02-07T16:24:28.063802Z",
-     "iopub.status.idle": "2022-02-07T16:24:28.172306Z",
-     "shell.execute_reply": "2022-02-07T16:24:28.170968Z"
+     "iopub.execute_input": "2022-06-20T23:03:11.806344Z",
+     "iopub.status.busy": "2022-06-20T23:03:11.805850Z",
+     "iopub.status.idle": "2022-06-20T23:03:11.809659Z",
+     "shell.execute_reply": "2022-06-20T23:03:11.809257Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -561,10 +561,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:24:28.545445Z",
-     "iopub.status.busy": "2022-02-07T16:24:28.543686Z",
-     "iopub.status.idle": "2022-02-07T16:24:28.700050Z",
-     "shell.execute_reply": "2022-02-07T16:24:28.698654Z"
+     "iopub.execute_input": "2022-06-20T23:03:12.078561Z",
+     "iopub.status.busy": "2022-06-20T23:03:12.078117Z",
+     "iopub.status.idle": "2022-06-20T23:03:12.188381Z",
+     "shell.execute_reply": "2022-06-20T23:03:12.187941Z"
     }
    },
    "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-c44ab733-93da-4ff6-934a-b96789317c5c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c44ab733-93da-4ff6-934a-b96789317c5c' 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-973f7cf5-dc6d-4548-8dfc-f6769639b5ea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-973f7cf5-dc6d-4548-8dfc-f6769639b5ea' 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-0cc75d87-c173-440f-9111-97c7040d41b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0cc75d87-c173-440f-9111-97c7040d41b5' 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-33f34013-8922-4387-8397-e4e7df8dc6af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33f34013-8922-4387-8397-e4e7df8dc6af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d505fc-e64f-4e11-a71b-d704c436cb19' class='xr-var-data-in' type='checkbox'><label for='data-90d505fc-e64f-4e11-a71b-d704c436cb19' 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-5fad17d5-719f-41b4-993c-cf851c4d381e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5fad17d5-719f-41b4-993c-cf851c4d381e' 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-cff9c663-d97d-4646-8220-1032a3e2a090' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cff9c663-d97d-4646-8220-1032a3e2a090' 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-d12385f7-df6d-471b-99d3-c508374d9538' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d12385f7-df6d-471b-99d3-c508374d9538' 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-01931853-d51b-481d-97aa-d734ab735934' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01931853-d51b-481d-97aa-d734ab735934' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51efdd4b-481b-49d1-9907-68ab44b0bfbf' class='xr-var-data-in' type='checkbox'><label for='data-51efdd4b-481b-49d1-9907-68ab44b0bfbf' 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-9dffb008-657d-4321-aa89-284d78ae5383' class='xr-section-summary-in' type='checkbox'  ><label for='section-9dffb008-657d-4321-aa89-284d78ae5383' 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-96f6e29b-b4cf-4a5a-ac04-d75091a20752' class='xr-section-summary-in' type='checkbox'  ><label for='section-96f6e29b-b4cf-4a5a-ac04-d75091a20752' 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": "2022-02-07T16:24:29.041254Z",
-     "iopub.status.busy": "2022-02-07T16:24:29.039568Z",
-     "iopub.status.idle": "2022-02-07T16:24:29.475883Z",
-     "shell.execute_reply": "2022-02-07T16:24:29.477280Z"
+     "iopub.execute_input": "2022-06-20T23:03:12.422824Z",
+     "iopub.status.busy": "2022-06-20T23:03:12.422179Z",
+     "iopub.status.idle": "2022-06-20T23:03:12.780676Z",
+     "shell.execute_reply": "2022-06-20T23:03:12.780245Z"
     }
    },
    "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-8d790167-5f78-42b8-bd68-9fdeed679cc8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8d790167-5f78-42b8-bd68-9fdeed679cc8' 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-e827bd3a-576a-4b0a-99f0-60ba434d24fd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e827bd3a-576a-4b0a-99f0-60ba434d24fd' 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-fe6d16fc-b860-4489-bad6-f27fb8266236' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe6d16fc-b860-4489-bad6-f27fb8266236' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea37185d-b9ec-4a80-a6d6-ecf8828bbef9' class='xr-var-data-in' type='checkbox'><label for='data-ea37185d-b9ec-4a80-a6d6-ecf8828bbef9' 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-54716c45-3eeb-484f-ac5a-3e5b9bb733f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54716c45-3eeb-484f-ac5a-3e5b9bb733f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e3199ff-ed08-4d7f-b43c-55a88388e8e2' class='xr-var-data-in' type='checkbox'><label for='data-7e3199ff-ed08-4d7f-b43c-55a88388e8e2' 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-8ebe3d1c-bacb-435c-82ea-446ad4da5725' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ebe3d1c-bacb-435c-82ea-446ad4da5725' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce87d1d6-05f8-4d85-8c60-4a68c12923e7' class='xr-var-data-in' type='checkbox'><label for='data-ce87d1d6-05f8-4d85-8c60-4a68c12923e7' 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-f52d7801-c0af-4f80-b92f-00a3aee03d6a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f52d7801-c0af-4f80-b92f-00a3aee03d6a' 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-dc057190-f846-48d0-a638-c7923fc62901' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc057190-f846-48d0-a638-c7923fc62901' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45dc0d24-aa92-499b-9151-c2b03021bbec' class='xr-var-data-in' type='checkbox'><label for='data-45dc0d24-aa92-499b-9151-c2b03021bbec' 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-d04f8315-14aa-4bec-ac7f-1b23f1d728d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d04f8315-14aa-4bec-ac7f-1b23f1d728d5' 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-bf74da7c-a06b-47fd-97c6-a96efdf33885' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf74da7c-a06b-47fd-97c6-a96efdf33885' 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-9eff35c8-5618-42c5-8a04-6965f5c3b9d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eff35c8-5618-42c5-8a04-6965f5c3b9d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6ee725b-2d0a-4c52-9efa-00d8fc03eccc' class='xr-var-data-in' type='checkbox'><label for='data-c6ee725b-2d0a-4c52-9efa-00d8fc03eccc' 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-f89a74a1-acf0-4d36-8a91-f014a918c51d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f89a74a1-acf0-4d36-8a91-f014a918c51d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d82f093b-aa98-454e-a5cb-530d47dcd08c' class='xr-var-data-in' type='checkbox'><label for='data-d82f093b-aa98-454e-a5cb-530d47dcd08c' 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-4d6d3843-a280-4d65-a0a2-831154ca19ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d6d3843-a280-4d65-a0a2-831154ca19ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cf2f21f-5288-4334-b724-98d109beb7a9' class='xr-var-data-in' type='checkbox'><label for='data-1cf2f21f-5288-4334-b724-98d109beb7a9' 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-c353aaa0-895d-4672-8c56-3731ef571e20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c353aaa0-895d-4672-8c56-3731ef571e20' 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-b5a8f8e8-3b9e-4634-b86a-488f3bff74a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5a8f8e8-3b9e-4634-b86a-488f3bff74a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15062de-0547-460d-b1d8-8ef03fdc4d83' class='xr-var-data-in' type='checkbox'><label for='data-c15062de-0547-460d-b1d8-8ef03fdc4d83' 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-a57bb1e7-a353-4c60-8ac9-0ee812af5621' class='xr-section-summary-in' type='checkbox'  ><label for='section-a57bb1e7-a353-4c60-8ac9-0ee812af5621' 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-d1623782-12b5-4a00-9d74-2548cca94519' class='xr-section-summary-in' type='checkbox'  ><label for='section-d1623782-12b5-4a00-9d74-2548cca94519' 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": "2022-02-07T16:24:29.854735Z",
-     "iopub.status.busy": "2022-02-07T16:24:29.853022Z",
-     "iopub.status.idle": "2022-02-07T16:24:30.422295Z",
-     "shell.execute_reply": "2022-02-07T16:24:30.423623Z"
+     "iopub.execute_input": "2022-06-20T23:03:13.049894Z",
+     "iopub.status.busy": "2022-06-20T23:03:13.049474Z",
+     "iopub.status.idle": "2022-06-20T23:03:13.533543Z",
+     "shell.execute_reply": "2022-06-20T23:03:13.533879Z"
     }
    },
    "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-336c11b9-5ecd-4857-8c60-4bdf4e58edb6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-336c11b9-5ecd-4857-8c60-4bdf4e58edb6' 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-985efc6f-757d-4ac9-846d-1e72bf1e5412' class='xr-section-summary-in' type='checkbox'  checked><label for='section-985efc6f-757d-4ac9-846d-1e72bf1e5412' 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-76dae921-9a41-4920-bc33-be9d75e916ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76dae921-9a41-4920-bc33-be9d75e916ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6e7fc8c-2b74-4657-b6e6-06d8d4a7c4c2' class='xr-var-data-in' type='checkbox'><label for='data-f6e7fc8c-2b74-4657-b6e6-06d8d4a7c4c2' 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-12757c84-b8c8-4908-b41e-c47c840b93b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12757c84-b8c8-4908-b41e-c47c840b93b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01509f9a-3e6b-41e7-aedb-63ae92bf99c9' class='xr-var-data-in' type='checkbox'><label for='data-01509f9a-3e6b-41e7-aedb-63ae92bf99c9' 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-ff581f22-33a4-4c69-8458-cf22260e1516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff581f22-33a4-4c69-8458-cf22260e1516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d5c5986-7dcc-42da-b536-36c7cc2b7df7' class='xr-var-data-in' type='checkbox'><label for='data-1d5c5986-7dcc-42da-b536-36c7cc2b7df7' 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-8fbaf836-73d9-4460-bd04-568668cbfd9e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fbaf836-73d9-4460-bd04-568668cbfd9e' 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-7e849215-2113-4c1c-aa66-f92f5f0f6d6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e849215-2113-4c1c-aa66-f92f5f0f6d6f' 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-3f048c81-4734-4b3e-85e1-3fd732a4dcb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f048c81-4734-4b3e-85e1-3fd732a4dcb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9181495f-1dac-415e-8fa0-860084442c06' class='xr-var-data-in' type='checkbox'><label for='data-9181495f-1dac-415e-8fa0-860084442c06' 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-295954f2-06af-40bf-bee6-a52168a70ec6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-295954f2-06af-40bf-bee6-a52168a70ec6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c2e7118-82bb-4262-a370-ab07509c5184' class='xr-var-data-in' type='checkbox'><label for='data-6c2e7118-82bb-4262-a370-ab07509c5184' 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-14748bce-9f9a-489d-a486-eca43cd29be9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14748bce-9f9a-489d-a486-eca43cd29be9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4be458e5-7498-4ba7-ba11-2367756ea835' class='xr-var-data-in' type='checkbox'><label for='data-4be458e5-7498-4ba7-ba11-2367756ea835' 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-c42d46bf-8ef8-4f6e-8dea-55aaa4762552' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c42d46bf-8ef8-4f6e-8dea-55aaa4762552' 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-02ec4484-9594-4380-aba0-f5122b5f616d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02ec4484-9594-4380-aba0-f5122b5f616d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc807ec2-91cc-4e32-869d-8fc441d4a3bb' class='xr-var-data-in' type='checkbox'><label for='data-cc807ec2-91cc-4e32-869d-8fc441d4a3bb' 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-c5f5b9b3-81d4-4481-9391-965f192a04a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c5f5b9b3-81d4-4481-9391-965f192a04a4' 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-38f90de9-cb45-48e3-b4bd-170234563b14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38f90de9-cb45-48e3-b4bd-170234563b14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b7a2259-11f0-41a9-b1bc-3ccbd3ce2d05' class='xr-var-data-in' type='checkbox'><label for='data-2b7a2259-11f0-41a9-b1bc-3ccbd3ce2d05' 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-cf226539-90b8-4dd9-9b70-b170fcd57e77' class='xr-section-summary-in' type='checkbox'  ><label for='section-cf226539-90b8-4dd9-9b70-b170fcd57e77' 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-5aa57c36-6c8f-4d96-9954-aaef1fd0fcb8' class='xr-section-summary-in' type='checkbox'  ><label for='section-5aa57c36-6c8f-4d96-9954-aaef1fd0fcb8' 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": "2022-02-07T16:24:30.438210Z",
-     "iopub.status.busy": "2022-02-07T16:24:30.436493Z",
-     "iopub.status.idle": "2022-02-07T16:24:30.446436Z",
-     "shell.execute_reply": "2022-02-07T16:24:30.444737Z"
+     "iopub.execute_input": "2022-06-20T23:03:13.539050Z",
+     "iopub.status.busy": "2022-06-20T23:03:13.536201Z",
+     "iopub.status.idle": "2022-06-20T23:03:13.544888Z",
+     "shell.execute_reply": "2022-06-20T23:03:13.545232Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1913,10 +1913,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:24:30.488180Z",
-     "iopub.status.busy": "2022-02-07T16:24:30.481602Z",
-     "iopub.status.idle": "2022-02-07T16:24:30.497234Z",
-     "shell.execute_reply": "2022-02-07T16:24:30.495463Z"
+     "iopub.execute_input": "2022-06-20T23:03:13.553041Z",
+     "iopub.status.busy": "2022-06-20T23:03:13.552093Z",
+     "iopub.status.idle": "2022-06-20T23:03:13.559652Z",
+     "shell.execute_reply": "2022-06-20T23:03:13.558638Z"
     }
    },
    "outputs": [
@@ -1962,10 +1962,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:24:30.876374Z",
-     "iopub.status.busy": "2022-02-07T16:24:30.874337Z",
-     "iopub.status.idle": "2022-02-07T16:24:31.524273Z",
-     "shell.execute_reply": "2022-02-07T16:24:31.527007Z"
+     "iopub.execute_input": "2022-06-20T23:03:13.801583Z",
+     "iopub.status.busy": "2022-06-20T23:03:13.799268Z",
+     "iopub.status.idle": "2022-06-20T23:03:14.327431Z",
+     "shell.execute_reply": "2022-06-20T23:03:14.326775Z"
     }
    },
    "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-e612491f-f4f7-4450-be92-5ab9079957c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e612491f-f4f7-4450-be92-5ab9079957c8' 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-786e7c03-d190-4317-bd19-7c530d80acb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-786e7c03-d190-4317-bd19-7c530d80acb6' 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-a9eebe54-3b16-4239-948a-4f3391f471d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9eebe54-3b16-4239-948a-4f3391f471d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d2a07ab-1413-4f91-b422-7c0ab4ef010b' class='xr-var-data-in' type='checkbox'><label for='data-6d2a07ab-1413-4f91-b422-7c0ab4ef010b' 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-77d9a552-ae32-4660-bf91-497bc4286709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77d9a552-ae32-4660-bf91-497bc4286709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38bd0695-13f4-4e55-bbf5-ebd54725e4c3' class='xr-var-data-in' type='checkbox'><label for='data-38bd0695-13f4-4e55-bbf5-ebd54725e4c3' 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-4b7fa7bd-700f-4b61-a095-47ae82ae5536' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b7fa7bd-700f-4b61-a095-47ae82ae5536' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d4c24d5-ce8e-4f68-b928-a9b81624ef85' class='xr-var-data-in' type='checkbox'><label for='data-3d4c24d5-ce8e-4f68-b928-a9b81624ef85' 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-f5c626b5-4b7c-42f1-9af5-55099a59b9fb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5c626b5-4b7c-42f1-9af5-55099a59b9fb' 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-9330ba92-45b8-46b0-92e1-dbe9459aac50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9330ba92-45b8-46b0-92e1-dbe9459aac50' 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-65ca1e5e-8e6d-4eb1-8b5e-2280f9975143' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65ca1e5e-8e6d-4eb1-8b5e-2280f9975143' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e40d45c-5e5c-4458-b627-172717115374' class='xr-var-data-in' type='checkbox'><label for='data-2e40d45c-5e5c-4458-b627-172717115374' 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-2477071a-75cd-4cb1-9d42-62b2c48ddfd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2477071a-75cd-4cb1-9d42-62b2c48ddfd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab4c1342-25c2-407a-9b97-20c1a1268ba5' class='xr-var-data-in' type='checkbox'><label for='data-ab4c1342-25c2-407a-9b97-20c1a1268ba5' 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-1950d366-61db-4cc0-b121-301ae8b31a66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1950d366-61db-4cc0-b121-301ae8b31a66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-605b593e-2eba-4961-9ad3-61f94a7ae414' class='xr-var-data-in' type='checkbox'><label for='data-605b593e-2eba-4961-9ad3-61f94a7ae414' 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-084d6326-8b55-4644-aa8d-52dc7df36c68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-084d6326-8b55-4644-aa8d-52dc7df36c68' 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-31448e71-4de1-49ed-bcec-f2e268b9017d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31448e71-4de1-49ed-bcec-f2e268b9017d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ae869a-e6b1-4c02-8ad7-52504340d9b3' class='xr-var-data-in' type='checkbox'><label for='data-68ae869a-e6b1-4c02-8ad7-52504340d9b3' 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-13921d43-9385-4028-9d96-f8311a881886' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13921d43-9385-4028-9d96-f8311a881886' 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-2edfcd90-1c48-4dac-b24e-e002974b5683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2edfcd90-1c48-4dac-b24e-e002974b5683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-488f294a-5d4f-4eda-b04b-60693a4c2840' class='xr-var-data-in' type='checkbox'><label for='data-488f294a-5d4f-4eda-b04b-60693a4c2840' 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-7f793a27-ae5b-4023-af82-80df149eee57' class='xr-section-summary-in' type='checkbox'  ><label for='section-7f793a27-ae5b-4023-af82-80df149eee57' 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-6d4fa7c5-c60d-4c3f-9aab-303af623a14e' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d4fa7c5-c60d-4c3f-9aab-303af623a14e' 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": "2022-02-07T16:24:31.555455Z",
-     "iopub.status.busy": "2022-02-07T16:24:31.553694Z",
-     "iopub.status.idle": "2022-02-07T16:24:36.583891Z",
-     "shell.execute_reply": "2022-02-07T16:24:36.586896Z"
+     "iopub.execute_input": "2022-06-20T23:03:14.335471Z",
+     "iopub.status.busy": "2022-06-20T23:03:14.334932Z",
+     "iopub.status.idle": "2022-06-20T23:03:16.611670Z",
+     "shell.execute_reply": "2022-06-20T23:03:16.611158Z"
     }
    },
    "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[2022-02-07 11:24:33] ...\n",
+       "    history:        pr=max(0,pr) applied to raw data;\\n[2022-06-20 19:03:15] ...\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-86a2518c-edf4-44a7-9575-62550e76558a' class='xr-array-in' type='checkbox' checked><label for='section-86a2518c-edf4-44a7-9575-62550e76558a' 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-7f362a7c-2fcb-41db-bf7a-f34301629527' class='xr-array-in' type='checkbox' checked><label for='section-7f362a7c-2fcb-41db-bf7a-f34301629527' 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-27a71c21-7fca-4c80-9734-ee4de3dbbebc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27a71c21-7fca-4c80-9734-ee4de3dbbebc' 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-625978dc-d9c2-44e1-842c-2fbee8bde5d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-625978dc-d9c2-44e1-842c-2fbee8bde5d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02b4bb67-2816-4bcd-abc4-7dd5d587353c' class='xr-var-data-in' type='checkbox'><label for='data-02b4bb67-2816-4bcd-abc4-7dd5d587353c' 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-18540885-841e-48e2-b114-f8efd17bf223' class='xr-section-summary-in' type='checkbox'  checked><label for='section-18540885-841e-48e2-b114-f8efd17bf223' 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-7813c606-82c7-452e-9bd2-5052bed92703' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7813c606-82c7-452e-9bd2-5052bed92703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-159436ce-07c2-4256-bb71-58df410ab759' class='xr-var-data-in' type='checkbox'><label for='data-159436ce-07c2-4256-bb71-58df410ab759' 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-833cfc03-f149-4eeb-ac15-7dc49274b5c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-833cfc03-f149-4eeb-ac15-7dc49274b5c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efd7ec9d-8ad7-4d4e-812e-7b8fab78c729' class='xr-var-data-in' type='checkbox'><label for='data-efd7ec9d-8ad7-4d4e-812e-7b8fab78c729' 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-0bcadac0-3e9c-4da7-90cc-00060ef08cd8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bcadac0-3e9c-4da7-90cc-00060ef08cd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ca78237-fd4c-418e-8ab5-0769f5feed50' class='xr-var-data-in' type='checkbox'><label for='data-1ca78237-fd4c-418e-8ab5-0769f5feed50' 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-e9d121dc-b59b-4184-b465-da72043cc512' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9d121dc-b59b-4184-b465-da72043cc512' 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",
-       "[2022-02-07 11:24:33] 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-143189ad-a298-4f83-95bb-680715eff367' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-143189ad-a298-4f83-95bb-680715eff367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ff061fa-778b-4eb4-abc2-2ce7d8a6f6ff' class='xr-var-data-in' type='checkbox'><label for='data-1ff061fa-778b-4eb4-abc2-2ce7d8a6f6ff' 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-658659ca-0e89-4990-b6d1-85c585a6f8e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-658659ca-0e89-4990-b6d1-85c585a6f8e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df55ea6b-cf8d-47c7-aa53-7616c4ca280f' class='xr-var-data-in' type='checkbox'><label for='data-df55ea6b-cf8d-47c7-aa53-7616c4ca280f' 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-71373817-e3c9-4ab3-8cc5-b6d25d91e694' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71373817-e3c9-4ab3-8cc5-b6d25d91e694' 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",
+       "[2022-06-20 19:03:15] 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>"
       ],
       "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[2022-02-07 11:24:33] ...\n",
+       "    history:        pr=max(0,pr) applied to raw data;\\n[2022-06-20 19:03:15] ...\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..."
@@ -2840,7 +2840,7 @@
     "#NBVAL_IGNORE_OUTPUT\n",
     "resp = wps.sdii(pr + sub)\n",
     "out = resp.get(asobj=True)\n",
-    "out.output_netcdf.sdii"
+    "out.output.sdii"
    ]
   }
  ],
@@ -2860,7 +2860,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/notebooks/finch-usage.ipynb b/docs/source/notebooks/finch-usage.ipynb
index 98af72e8..f149b6ad 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": "2022-02-07T16:24:46.392782Z",
-     "iopub.status.busy": "2022-02-07T16:24:46.387243Z",
-     "iopub.status.idle": "2022-02-07T16:24:55.109236Z",
-     "shell.execute_reply": "2022-02-07T16:24:55.107838Z"
+     "iopub.execute_input": "2022-06-20T23:03:21.047124Z",
+     "iopub.status.busy": "2022-06-20T23:03:21.046669Z",
+     "iopub.status.idle": "2022-06-20T23:03:23.570584Z",
+     "shell.execute_reply": "2022-06-20T23:03:23.570167Z"
     }
    },
    "outputs": [],
@@ -45,10 +45,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:24:55.120886Z",
-     "iopub.status.busy": "2022-02-07T16:24:55.119242Z",
-     "iopub.status.idle": "2022-02-07T16:24:55.127700Z",
-     "shell.execute_reply": "2022-02-07T16:24:55.128824Z"
+     "iopub.execute_input": "2022-06-20T23:03:23.576030Z",
+     "iopub.status.busy": "2022-06-20T23:03:23.575535Z",
+     "iopub.status.idle": "2022-06-20T23:03:23.578316Z",
+     "shell.execute_reply": "2022-06-20T23:03:23.578664Z"
     }
    },
    "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) method of birdy.client.base.WPSClient instance\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",
       "    Number of days where daily minimum temperatures are below a threshold temperature.\n",
       "    \n",
       "    Parameters\n",
@@ -81,11 +81,13 @@
       "        Name of the variable in the NetCDF file.\n",
       "    output_name : string\n",
       "        Filename of the output (no extension).\n",
+      "    output_format : {'netcdf', 'csv'}string\n",
+      "        Choose in which format you want to receive the result. CSV actually means a zip file of two csv files.\n",
       "    \n",
       "    Returns\n",
       "    -------\n",
-      "    output_netcdf : ComplexData:mimetype:`application/x-netcdf`\n",
-      "        The indicator values computed on the original input grid.\n",
+      "    output : ComplexData:mimetype:`application/x-netcdf`, :mimetype:`application/zip`\n",
+      "        The format depends on the 'output_format' input parameter.\n",
       "    output_log : ComplexData:mimetype:`text/plain`\n",
       "        Collected logs during process run.\n",
       "    ref : ComplexData:mimetype:`application/metalink+xml; version=4.0`\n",
@@ -114,10 +116,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:24:55.144581Z",
-     "iopub.status.busy": "2022-02-07T16:24:55.136660Z",
-     "iopub.status.idle": "2022-02-07T16:25:02.119922Z",
-     "shell.execute_reply": "2022-02-07T16:25:02.117511Z"
+     "iopub.execute_input": "2022-06-20T23:03:23.587263Z",
+     "iopub.status.busy": "2022-06-20T23:03:23.581804Z",
+     "iopub.status.idle": "2022-06-20T23:03:26.021551Z",
+     "shell.execute_reply": "2022-06-20T23:03:26.021039Z"
     }
    },
    "outputs": [],
@@ -131,10 +133,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:02.139165Z",
-     "iopub.status.busy": "2022-02-07T16:25:02.137392Z",
-     "iopub.status.idle": "2022-02-07T16:25:02.145313Z",
-     "shell.execute_reply": "2022-02-07T16:25:02.143692Z"
+     "iopub.execute_input": "2022-06-20T23:03:26.027153Z",
+     "iopub.status.busy": "2022-06-20T23:03:26.024602Z",
+     "iopub.status.idle": "2022-06-20T23:03:26.033424Z",
+     "shell.execute_reply": "2022-06-20T23:03:26.033986Z"
     }
    },
    "outputs": [
@@ -143,14 +145,14 @@
      "output_type": "stream",
      "text": [
       "Process status:  ProcessSucceeded\n",
-      "Link to process output:  https://pavics.ouranos.ca/wpsoutputs/7c0bb89e-8832-11ec-ad56-9c305b4af68f/frost_days_sres_a2_experiment_20460101_20650101.nc\n"
+      "Link to process output:  https://pavics.ouranos.ca/wpsoutputs/2f77079e-f0ed-11ec-bdbb-484d7ef8d8d1/frost_days_sres_a2_experiment_20460101_20650101.nc\n"
      ]
     }
    ],
    "source": [
     "print(\"Process status: \", resp.status)\n",
     "urls = resp.get()\n",
-    "print(\"Link to process output: \", urls.output_netcdf)\n"
+    "print(\"Link to process output: \", urls.output)\n"
    ]
   },
   {
@@ -165,10 +167,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:02.165190Z",
-     "iopub.status.busy": "2022-02-07T16:25:02.163328Z",
-     "iopub.status.idle": "2022-02-07T16:25:02.405010Z",
-     "shell.execute_reply": "2022-02-07T16:25:02.406396Z"
+     "iopub.execute_input": "2022-06-20T23:03:26.044197Z",
+     "iopub.status.busy": "2022-06-20T23:03:26.041605Z",
+     "iopub.status.idle": "2022-06-20T23:03:26.111470Z",
+     "shell.execute_reply": "2022-06-20T23:03:26.110912Z"
     }
    },
    "outputs": [
@@ -563,7 +565,7 @@
        "    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-bd124d14-fd14-4a6b-8d77-81c7374a3aad' class='xr-array-in' type='checkbox' checked><label for='section-bd124d14-fd14-4a6b-8d77-81c7374a3aad' 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-3d609354-ed46-4f7f-a037-dd266e7eb11d' class='xr-array-in' type='checkbox' checked><label for='section-3d609354-ed46-4f7f-a037-dd266e7eb11d' 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",
@@ -587,7 +589,7 @@
        "        [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-cb89785d-7ad4-4310-8a9b-8a1a65ac514e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb89785d-7ad4-4310-8a9b-8a1a65ac514e' 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-2dce88a9-2aff-4c64-8455-fc091903f2ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dce88a9-2aff-4c64-8455-fc091903f2ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93fa9ac9-8884-47b5-a206-83554f80bdc3' class='xr-var-data-in' type='checkbox'><label for='data-93fa9ac9-8884-47b5-a206-83554f80bdc3' 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-b87939fc-48c3-42d0-9b00-2e4a147b571e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b87939fc-48c3-42d0-9b00-2e4a147b571e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7052544-7161-43b7-bfb6-c622046983e6' class='xr-var-data-in' type='checkbox'><label for='data-a7052544-7161-43b7-bfb6-c622046983e6' 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-7802bc20-425a-49a6-87af-bf6d4e0abd68' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7802bc20-425a-49a6-87af-bf6d4e0abd68' 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-41dd2931-8d74-437e-867e-a19c60bdd115' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41dd2931-8d74-437e-867e-a19c60bdd115' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd3532a8-7e4a-49b2-9a61-17f1b9a31ab2' class='xr-var-data-in' type='checkbox'><label for='data-cd3532a8-7e4a-49b2-9a61-17f1b9a31ab2' 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-325f18a5-f1ba-46e3-92a2-00ad19b33734' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-325f18a5-f1ba-46e3-92a2-00ad19b33734' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adb8184d-4d02-4ef4-9d37-8d0c4b3bd838' class='xr-var-data-in' type='checkbox'><label for='data-adb8184d-4d02-4ef4-9d37-8d0c4b3bd838' 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",
@@ -607,8 +609,8 @@
        "       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-5e41327f-3849-4d55-adf9-bbaaf33ff4a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e41327f-3849-4d55-adf9-bbaaf33ff4a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42537a62-63e6-4371-b40a-21536359c20c' class='xr-var-data-in' type='checkbox'><label for='data-42537a62-63e6-4371-b40a-21536359c20c' 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-ca3ab1e5-9c96-4c90-9c07-f866794c935e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca3ab1e5-9c96-4c90-9c07-f866794c935e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10c66c0d-f632-4699-8960-f2ceec73729f' class='xr-var-data-in' type='checkbox'><label for='data-10c66c0d-f632-4699-8960-f2ceec73729f' 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-48cb29dd-4550-47c8-945a-37e99bf54de7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48cb29dd-4550-47c8-945a-37e99bf54de7' 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",
-       "[2022-02-07 11:24:57] 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-6f0a236a-0d0e-4f6f-a52b-8fe3760eccdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f0a236a-0d0e-4f6f-a52b-8fe3760eccdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f7315a0-9b14-441c-a6f3-334085496337' class='xr-var-data-in' type='checkbox'><label for='data-5f7315a0-9b14-441c-a6f3-334085496337' 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-010b0ff9-3901-4836-8eb0-d0ed57a73071' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-010b0ff9-3901-4836-8eb0-d0ed57a73071' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dad5df9d-3f6b-43ed-a05e-387a6cc37318' class='xr-var-data-in' type='checkbox'><label for='data-dad5df9d-3f6b-43ed-a05e-387a6cc37318' 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-6eedda6e-ef63-42da-b523-6f16dd7add15' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6eedda6e-ef63-42da-b523-6f16dd7add15' 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",
+       "[2022-06-20 19:03:24] 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>"
       ],
       "text/plain": [
        "<xarray.DataArray 'frost_days' (time: 20, lat: 6, lon: 7)>\n",
@@ -659,7 +661,7 @@
    "source": [
     "import tempfile\n",
     "fn = tempfile.NamedTemporaryFile()\n",
-    "resp.getOutput(fn.name, identifier=\"output_netcdf\")\n",
+    "resp.getOutput(fn.name, identifier=\"output\")\n",
     "ds = xr.open_dataset(fn.name, decode_timedelta=False)\n",
     "ds.frost_days"
    ]
@@ -676,10 +678,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:02.423840Z",
-     "iopub.status.busy": "2022-02-07T16:25:02.418898Z",
-     "iopub.status.idle": "2022-02-07T16:25:02.541444Z",
-     "shell.execute_reply": "2022-02-07T16:25:02.540061Z"
+     "iopub.execute_input": "2022-06-20T23:03:26.117966Z",
+     "iopub.status.busy": "2022-06-20T23:03:26.117365Z",
+     "iopub.status.idle": "2022-06-20T23:03:26.166099Z",
+     "shell.execute_reply": "2022-06-20T23:03:26.165558Z"
     }
    },
    "outputs": [
@@ -1059,7 +1061,7 @@
        "    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-cf0c4785-c2ee-4c60-ba1c-14588596d18b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cf0c4785-c2ee-4c60-ba1c-14588596d18b' 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-0350120c-2adf-4ae7-99b6-c66f0913e2f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0350120c-2adf-4ae7-99b6-c66f0913e2f1' 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-2b5244a6-9179-4f8b-80af-0891cfe3b9d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b5244a6-9179-4f8b-80af-0891cfe3b9d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fd8ef49-bcda-4b71-ae94-57b460793a3a' class='xr-var-data-in' type='checkbox'><label for='data-8fd8ef49-bcda-4b71-ae94-57b460793a3a' 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-2f8721c3-dd67-4bf9-8b88-3deddc686616' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f8721c3-dd67-4bf9-8b88-3deddc686616' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e90b1ddf-12c6-492a-a172-5a124125daff' class='xr-var-data-in' type='checkbox'><label for='data-e90b1ddf-12c6-492a-a172-5a124125daff' 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-c0fbf544-8166-4be4-b38c-59121a0bc4fb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0fbf544-8166-4be4-b38c-59121a0bc4fb' 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-f4594adb-bc12-46ab-b2d3-af14c46f3754' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4594adb-bc12-46ab-b2d3-af14c46f3754' 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-95f632e1-56a1-4da2-9981-8ff1e9fe3614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95f632e1-56a1-4da2-9981-8ff1e9fe3614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-452c36c6-335d-4973-ac34-6dd8c4525da1' class='xr-var-data-in' type='checkbox'><label for='data-452c36c6-335d-4973-ac34-6dd8c4525da1' 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-45f893c3-4661-4260-98d5-d7ac7de9babb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45f893c3-4661-4260-98d5-d7ac7de9babb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee1eb2b9-6119-461d-b7ce-08f5b976bf58' class='xr-var-data-in' type='checkbox'><label for='data-ee1eb2b9-6119-461d-b7ce-08f5b976bf58' 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",
@@ -1079,8 +1081,8 @@
        "       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-4b53d1de-d5a5-491d-ac2d-e95992b93e8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b53d1de-d5a5-491d-ac2d-e95992b93e8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3f72b8d-c752-4014-85b6-d4060ecaa32c' class='xr-var-data-in' type='checkbox'><label for='data-a3f72b8d-c752-4014-85b6-d4060ecaa32c' 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-d6719f2d-a88f-4e96-af59-e78bd8ca6892' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6719f2d-a88f-4e96-af59-e78bd8ca6892' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010e88ad-42e5-4e76-9d6b-7be4e1e8410a' class='xr-var-data-in' type='checkbox'><label for='data-010e88ad-42e5-4e76-9d6b-7be4e1e8410a' 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-7b0b79ce-ecab-4f68-ba49-79232ae1555d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7b0b79ce-ecab-4f68-ba49-79232ae1555d' 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-25cf5f3c-deae-4903-9ef3-0fdce86f8925' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25cf5f3c-deae-4903-9ef3-0fdce86f8925' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b07f3d32-340a-42fd-9a02-cfe2bf364bd0' class='xr-var-data-in' type='checkbox'><label for='data-b07f3d32-340a-42fd-9a02-cfe2bf364bd0' 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",
-       "[2022-02-07 11:24:57] 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-3fb98278-cd38-44f9-b34b-7bb53da974b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fb98278-cd38-44f9-b34b-7bb53da974b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-137a1192-098f-428f-872e-9820844c6432' class='xr-var-data-in' type='checkbox'><label for='data-137a1192-098f-428f-872e-9820844c6432' 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-f4e4ba3f-06f1-4261-8437-fc2d1bebe7cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e4ba3f-06f1-4261-8437-fc2d1bebe7cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd1eec62-a1fd-40d6-b3cf-4165c030f0eb' class='xr-var-data-in' type='checkbox'><label for='data-dd1eec62-a1fd-40d6-b3cf-4165c030f0eb' 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-28d2521a-64e0-491f-a08f-d8abfc942d3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-28d2521a-64e0-491f-a08f-d8abfc942d3e' 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-6ae3e308-bbd4-469c-92b2-a86d59cb36c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ae3e308-bbd4-469c-92b2-a86d59cb36c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fef973bb-21d2-489e-8063-50ea1451aef6' class='xr-var-data-in' type='checkbox'><label for='data-fef973bb-21d2-489e-8063-50ea1451aef6' 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",
+       "[2022-06-20 19:03:24] 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",
        "           777600000000000],\n",
        "        [13478400000000000, 14515200000000000, ...,  9763200000000000,\n",
        "          8035200000000000],\n",
@@ -1120,7 +1122,7 @@
        "        [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-8470f01a-84ac-4d82-b262-9eb906d1a78a' class='xr-section-summary-in' type='checkbox'  ><label for='section-8470f01a-84ac-4d82-b262-9eb906d1a78a' 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-05f0f017-c981-4809-9efb-cf1afd17693d' class='xr-section-summary-in' type='checkbox'  ><label for='section-05f0f017-c981-4809-9efb-cf1afd17693d' 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": [
@@ -1157,13 +1159,13 @@
    "source": [
     "# NBVAL_IGNORE_OUTPUT\n",
     "out = resp.get(asobj=True)\n",
-    "out.output_netcdf"
+    "out.output"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1177,7 +1179,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.9"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/notebooks/subset.ipynb b/docs/source/notebooks/subset.ipynb
index 2f702518..94bcc16e 100644
--- a/docs/source/notebooks/subset.ipynb
+++ b/docs/source/notebooks/subset.ipynb
@@ -6,10 +6,10 @@
    "id": "5ef8b9ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:11.843525Z",
-     "iopub.status.busy": "2022-02-07T16:25:11.837917Z",
-     "iopub.status.idle": "2022-02-07T16:25:11.855701Z",
-     "shell.execute_reply": "2022-02-07T16:25:11.854241Z"
+     "iopub.execute_input": "2022-06-20T23:03:31.088905Z",
+     "iopub.status.busy": "2022-06-20T23:03:31.088252Z",
+     "iopub.status.idle": "2022-06-20T23:03:31.090448Z",
+     "shell.execute_reply": "2022-06-20T23:03:31.090816Z"
     },
     "nbsphinx": "hidden"
    },
@@ -37,10 +37,10 @@
    "id": "8f4fd0c3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:11.866940Z",
-     "iopub.status.busy": "2022-02-07T16:25:11.865471Z",
-     "iopub.status.idle": "2022-02-07T16:25:15.153524Z",
-     "shell.execute_reply": "2022-02-07T16:25:15.154817Z"
+     "iopub.execute_input": "2022-06-20T23:03:31.094965Z",
+     "iopub.status.busy": "2022-06-20T23:03:31.094102Z",
+     "iopub.status.idle": "2022-06-20T23:03:32.276273Z",
+     "shell.execute_reply": "2022-06-20T23:03:32.275819Z"
     }
    },
    "outputs": [],
@@ -56,10 +56,10 @@
    "id": "500631a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:15.171881Z",
-     "iopub.status.busy": "2022-02-07T16:25:15.165529Z",
-     "iopub.status.idle": "2022-02-07T16:25:20.213880Z",
-     "shell.execute_reply": "2022-02-07T16:25:20.211140Z"
+     "iopub.execute_input": "2022-06-20T23:03:32.280815Z",
+     "iopub.status.busy": "2022-06-20T23:03:32.278471Z",
+     "iopub.status.idle": "2022-06-20T23:03:33.586629Z",
+     "shell.execute_reply": "2022-06-20T23:03:33.587726Z"
     }
    },
    "outputs": [],
@@ -84,10 +84,10 @@
    "id": "f7a203aa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:20.229141Z",
-     "iopub.status.busy": "2022-02-07T16:25:20.226388Z",
-     "iopub.status.idle": "2022-02-07T16:25:20.232105Z",
-     "shell.execute_reply": "2022-02-07T16:25:20.234331Z"
+     "iopub.execute_input": "2022-06-20T23:03:33.591902Z",
+     "iopub.status.busy": "2022-06-20T23:03:33.591447Z",
+     "iopub.status.idle": "2022-06-20T23:03:33.593460Z",
+     "shell.execute_reply": "2022-06-20T23:03:33.593012Z"
     }
    },
    "outputs": [],
@@ -114,10 +114,10 @@
    "id": "eee118da",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:20.261410Z",
-     "iopub.status.busy": "2022-02-07T16:25:20.258699Z",
-     "iopub.status.idle": "2022-02-07T16:25:22.495000Z",
-     "shell.execute_reply": "2022-02-07T16:25:22.496356Z"
+     "iopub.execute_input": "2022-06-20T23:03:33.601957Z",
+     "iopub.status.busy": "2022-06-20T23:03:33.596991Z",
+     "iopub.status.idle": "2022-06-20T23:03:34.406070Z",
+     "shell.execute_reply": "2022-06-20T23:03:34.406579Z"
     }
    },
    "outputs": [],
@@ -132,10 +132,10 @@
    "id": "961b3e52",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:22.516591Z",
-     "iopub.status.busy": "2022-02-07T16:25:22.514708Z",
-     "iopub.status.idle": "2022-02-07T16:25:27.719838Z",
-     "shell.execute_reply": "2022-02-07T16:25:27.721236Z"
+     "iopub.execute_input": "2022-06-20T23:03:34.409822Z",
+     "iopub.status.busy": "2022-06-20T23:03:34.409041Z",
+     "iopub.status.idle": "2022-06-20T23:03:35.244312Z",
+     "shell.execute_reply": "2022-06-20T23:03:35.244864Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -144,7 +144,7 @@
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -182,10 +182,10 @@
    "id": "e2bc916c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:27.738500Z",
-     "iopub.status.busy": "2022-02-07T16:25:27.736792Z",
-     "iopub.status.idle": "2022-02-07T16:25:31.136214Z",
-     "shell.execute_reply": "2022-02-07T16:25:31.134766Z"
+     "iopub.execute_input": "2022-06-20T23:03:35.249215Z",
+     "iopub.status.busy": "2022-06-20T23:03:35.248774Z",
+     "iopub.status.idle": "2022-06-20T23:03:35.623243Z",
+     "shell.execute_reply": "2022-06-20T23:03:35.622663Z"
     }
    },
    "outputs": [],
@@ -216,10 +216,10 @@
    "id": "288f4067",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:31.153056Z",
-     "iopub.status.busy": "2022-02-07T16:25:31.147857Z",
-     "iopub.status.idle": "2022-02-07T16:25:38.001442Z",
-     "shell.execute_reply": "2022-02-07T16:25:38.000481Z"
+     "iopub.execute_input": "2022-06-20T23:03:35.631139Z",
+     "iopub.status.busy": "2022-06-20T23:03:35.630629Z",
+     "iopub.status.idle": "2022-06-20T23:03:38.191364Z",
+     "shell.execute_reply": "2022-06-20T23:03:38.190844Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -407,10 +407,10 @@
    "id": "22746b90",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:38.019081Z",
-     "iopub.status.busy": "2022-02-07T16:25:38.017128Z",
-     "iopub.status.idle": "2022-02-07T16:25:38.094274Z",
-     "shell.execute_reply": "2022-02-07T16:25:38.092966Z"
+     "iopub.execute_input": "2022-06-20T23:03:38.197743Z",
+     "iopub.status.busy": "2022-06-20T23:03:38.194007Z",
+     "iopub.status.idle": "2022-06-20T23:03:38.223148Z",
+     "shell.execute_reply": "2022-06-20T23:03:38.222813Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -486,10 +486,10 @@
    "id": "da924370",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:38.225428Z",
-     "iopub.status.busy": "2022-02-07T16:25:38.218082Z",
-     "iopub.status.idle": "2022-02-07T16:25:38.394870Z",
-     "shell.execute_reply": "2022-02-07T16:25:38.393681Z"
+     "iopub.execute_input": "2022-06-20T23:03:38.260510Z",
+     "iopub.status.busy": "2022-06-20T23:03:38.255281Z",
+     "iopub.status.idle": "2022-06-20T23:03:38.262438Z",
+     "shell.execute_reply": "2022-06-20T23:03:38.262094Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -516,10 +516,10 @@
    "id": "b9f968d5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:38.406856Z",
-     "iopub.status.busy": "2022-02-07T16:25:38.404819Z",
-     "iopub.status.idle": "2022-02-07T16:25:40.567253Z",
-     "shell.execute_reply": "2022-02-07T16:25:40.569696Z"
+     "iopub.execute_input": "2022-06-20T23:03:38.266975Z",
+     "iopub.status.busy": "2022-06-20T23:03:38.265602Z",
+     "iopub.status.idle": "2022-06-20T23:03:38.909976Z",
+     "shell.execute_reply": "2022-06-20T23:03:38.910359Z"
     }
    },
    "outputs": [],
@@ -534,10 +534,10 @@
    "id": "ea7a2700",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:40.593267Z",
-     "iopub.status.busy": "2022-02-07T16:25:40.578661Z",
-     "iopub.status.idle": "2022-02-07T16:25:41.344928Z",
-     "shell.execute_reply": "2022-02-07T16:25:41.343084Z"
+     "iopub.execute_input": "2022-06-20T23:03:38.915711Z",
+     "iopub.status.busy": "2022-06-20T23:03:38.915092Z",
+     "iopub.status.idle": "2022-06-20T23:03:39.153275Z",
+     "shell.execute_reply": "2022-06-20T23:03:39.153824Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -546,7 +546,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -583,10 +583,10 @@
    "id": "2955da6e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:25:41.361484Z",
-     "iopub.status.busy": "2022-02-07T16:25:41.357674Z",
-     "iopub.status.idle": "2022-02-07T16:26:04.249757Z",
-     "shell.execute_reply": "2022-02-07T16:26:04.251248Z"
+     "iopub.execute_input": "2022-06-20T23:03:39.157485Z",
+     "iopub.status.busy": "2022-06-20T23:03:39.157054Z",
+     "iopub.status.idle": "2022-06-20T23:03:46.222493Z",
+     "shell.execute_reply": "2022-06-20T23:03:46.222013Z"
     }
    },
    "outputs": [],
@@ -602,10 +602,10 @@
    "id": "6fec7d59",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:04.267427Z",
-     "iopub.status.busy": "2022-02-07T16:26:04.265905Z",
-     "iopub.status.idle": "2022-02-07T16:26:04.791490Z",
-     "shell.execute_reply": "2022-02-07T16:26:04.790311Z"
+     "iopub.execute_input": "2022-06-20T23:03:46.230949Z",
+     "iopub.status.busy": "2022-06-20T23:03:46.230064Z",
+     "iopub.status.idle": "2022-06-20T23:03:46.408759Z",
+     "shell.execute_reply": "2022-06-20T23:03:46.408293Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -614,7 +614,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -636,10 +636,10 @@
    "id": "88713a7e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:04.826444Z",
-     "iopub.status.busy": "2022-02-07T16:26:04.802233Z",
-     "iopub.status.idle": "2022-02-07T16:26:04.863412Z",
-     "shell.execute_reply": "2022-02-07T16:26:04.861958Z"
+     "iopub.execute_input": "2022-06-20T23:03:46.415872Z",
+     "iopub.status.busy": "2022-06-20T23:03:46.410725Z",
+     "iopub.status.idle": "2022-06-20T23:03:46.427173Z",
+     "shell.execute_reply": "2022-06-20T23:03:46.426572Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1017,18 +1017,18 @@
        "    institution:     NRCAN\n",
        "    source:          ANUSPLIN\n",
        "    redistribution:  Redistribution policy unknown. 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-cefbfd71-2b23-4790-929b-33e328f3719f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cefbfd71-2b23-4790-929b-33e328f3719f' 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>: 8</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-01206d82-95da-4a6b-a35d-5bb2a27ceed9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01206d82-95da-4a6b-a35d-5bb2a27ceed9' 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'>1990-01-01 ... 1990-01-08</div><input id='attrs-d96086c1-0d72-4226-99fb-10a1520f6656' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d96086c1-0d72-4226-99fb-10a1520f6656' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5acdd272-f3bd-41f1-a446-e1dc3c162e4a' class='xr-var-data-in' type='checkbox'><label for='data-5acdd272-f3bd-41f1-a446-e1dc3c162e4a' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1990-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-02T00:00:00.000000000&#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-9486ea65-0eaa-483d-9397-c247a3af3c5f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9486ea65-0eaa-483d-9397-c247a3af3c5f' 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>: 8</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-52e7035e-9b6e-4865-8493-8a552d0c0e4a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52e7035e-9b6e-4865-8493-8a552d0c0e4a' 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'>1990-01-01 ... 1990-01-08</div><input id='attrs-970d5687-cd8e-4e5f-a928-6269a55674a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-970d5687-cd8e-4e5f-a928-6269a55674a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb8e17e-fdd1-479b-b72c-36c1f4e47a5d' class='xr-var-data-in' type='checkbox'><label for='data-0eb8e17e-fdd1-479b-b72c-36c1f4e47a5d' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1990-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-02T00:00:00.000000000&#x27;,\n",
        "       &#x27;1990-01-03T00:00:00.000000000&#x27;, &#x27;1990-01-04T00:00:00.000000000&#x27;,\n",
        "       &#x27;1990-01-05T00:00:00.000000000&#x27;, &#x27;1990-01-06T00:00:00.000000000&#x27;,\n",
        "       &#x27;1990-01-07T00:00:00.000000000&#x27;, &#x27;1990-01-08T00:00:00.000000000&#x27;],\n",
-       "      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-be157e8a-3ea2-4685-a93c-496786e4ccb6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be157e8a-3ea2-4685-a93c-496786e4ccb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b1a97a8-1bf1-413e-abdf-f525ac3dbc40' class='xr-var-data-in' type='checkbox'><label for='data-2b1a97a8-1bf1-413e-abdf-f525ac3dbc40' 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-f69af764-68b9-4967-bead-ee6d83c2b9a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f69af764-68b9-4967-bead-ee6d83c2b9a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69f2fd2f-467a-4e13-8a5c-fb5c00826027' class='xr-var-data-in' type='checkbox'><label for='data-69f2fd2f-467a-4e13-8a5c-fb5c00826027' 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-ea547bac-c4c2-4714-a685-30477801d3a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea547bac-c4c2-4714-a685-30477801d3a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a435f50a-f2d6-43f4-88e2-4431560a8443' class='xr-var-data-in' type='checkbox'><label for='data-a435f50a-f2d6-43f4-88e2-4431560a8443' 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-95fd877e-10b9-4a3f-8d63-27904677fe26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95fd877e-10b9-4a3f-8d63-27904677fe26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1230c944-2531-4108-9029-2834eff84cb9' class='xr-var-data-in' type='checkbox'><label for='data-1230c944-2531-4108-9029-2834eff84cb9' 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-76beef64-ca47-4339-a7a7-9724c579465c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-76beef64-ca47-4339-a7a7-9724c579465c' 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>tasmin</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-39a4bd0c-6628-4b82-92b3-45d21facf5b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39a4bd0c-6628-4b82-92b3-45d21facf5b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-654a14e2-40c2-48c3-98ca-832b639870eb' class='xr-var-data-in' type='checkbox'><label for='data-654a14e2-40c2-48c3-98ca-832b639870eb' 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 within days</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[183  42  78]</dd></dl></div><div class='xr-var-data'><pre>array([[264.7361 ,       nan, 265.62296],\n",
+       "      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-38edc821-2d0e-4d89-af92-38c03fc669a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38edc821-2d0e-4d89-af92-38c03fc669a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d37bce18-62e5-4727-ae7c-1810f0e06ee3' class='xr-var-data-in' type='checkbox'><label for='data-d37bce18-62e5-4727-ae7c-1810f0e06ee3' 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-4d6ea7a7-22b4-44f8-a9bf-46308c8f717a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d6ea7a7-22b4-44f8-a9bf-46308c8f717a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75a7660a-1685-4266-83b3-04c3ecc6175e' class='xr-var-data-in' type='checkbox'><label for='data-75a7660a-1685-4266-83b3-04c3ecc6175e' 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-92e2479e-213e-4f31-8b2f-1bc4b27033f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92e2479e-213e-4f31-8b2f-1bc4b27033f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-979e275e-877e-4aff-8a5e-7c01ae0b1ca1' class='xr-var-data-in' type='checkbox'><label for='data-979e275e-877e-4aff-8a5e-7c01ae0b1ca1' 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-1f1af388-17a2-40cd-9493-355904ed2edd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f1af388-17a2-40cd-9493-355904ed2edd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c36469b-5b82-4c3f-9452-0b47300a4c07' class='xr-var-data-in' type='checkbox'><label for='data-6c36469b-5b82-4c3f-9452-0b47300a4c07' 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-fb49227c-8c9c-4aba-a191-26e2b6006b2d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb49227c-8c9c-4aba-a191-26e2b6006b2d' 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>tasmin</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-29544116-26e9-4dba-81d2-697e699f98e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29544116-26e9-4dba-81d2-697e699f98e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4e2a574-80db-4204-b2d2-42aed0a3708b' class='xr-var-data-in' type='checkbox'><label for='data-c4e2a574-80db-4204-b2d2-42aed0a3708b' 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 within days</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[183  42  78]</dd></dl></div><div class='xr-var-data'><pre>array([[264.7361 ,       nan, 265.62296],\n",
        "       [260.89725,       nan, 261.9719 ],\n",
        "       [271.6268 ,       nan, 271.4887 ],\n",
        "       [272.8984 ,       nan, 273.1438 ],\n",
        "       [265.8177 ,       nan, 266.54514],\n",
        "       [263.94077,       nan, 264.77417],\n",
        "       [257.84552,       nan, 258.9889 ],\n",
-       "       [266.31393,       nan, 268.18933]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca8841d6-0fcb-43a2-aba0-bda586383907' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca8841d6-0fcb-43a2-aba0-bda586383907' 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>NRCAN 10km Gridded Climate Dataset</dd><dt><span>history :</span></dt><dd>2012-10-22T15:44:58: Convert from original format to NetCDF</dd><dt><span>institution :</span></dt><dd>NRCAN</dd><dt><span>source :</span></dt><dd>ANUSPLIN</dd><dt><span>redistribution :</span></dt><dd>Redistribution policy unknown. For internal use only.</dd><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
+       "       [266.31393,       nan, 268.18933]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26cff776-3e94-4aed-b50b-cd0d561ab6be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26cff776-3e94-4aed-b50b-cd0d561ab6be' 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>NRCAN 10km Gridded Climate Dataset</dd><dt><span>history :</span></dt><dd>2012-10-22T15:44:58: Convert from original format to NetCDF</dd><dt><span>institution :</span></dt><dd>NRCAN</dd><dt><span>source :</span></dt><dd>ANUSPLIN</dd><dt><span>redistribution :</span></dt><dd>Redistribution policy unknown. For internal use only.</dd><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1076,10 +1076,10 @@
    "id": "d4f67c8c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:04.880526Z",
-     "iopub.status.busy": "2022-02-07T16:26:04.879062Z",
-     "iopub.status.idle": "2022-02-07T16:26:22.959784Z",
-     "shell.execute_reply": "2022-02-07T16:26:22.958704Z"
+     "iopub.execute_input": "2022-06-20T23:03:46.432441Z",
+     "iopub.status.busy": "2022-06-20T23:03:46.431965Z",
+     "iopub.status.idle": "2022-06-20T23:03:51.919167Z",
+     "shell.execute_reply": "2022-06-20T23:03:51.918721Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1176,10 +1176,10 @@
    "id": "a9dde0db",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:22.970837Z",
-     "iopub.status.busy": "2022-02-07T16:26:22.969537Z",
-     "iopub.status.idle": "2022-02-07T16:26:26.327097Z",
-     "shell.execute_reply": "2022-02-07T16:26:26.328367Z"
+     "iopub.execute_input": "2022-06-20T23:03:51.924301Z",
+     "iopub.status.busy": "2022-06-20T23:03:51.923624Z",
+     "iopub.status.idle": "2022-06-20T23:03:53.375735Z",
+     "shell.execute_reply": "2022-06-20T23:03:53.375004Z"
     }
    },
    "outputs": [],
@@ -1195,10 +1195,10 @@
    "id": "08e3483f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:26.350695Z",
-     "iopub.status.busy": "2022-02-07T16:26:26.349012Z",
-     "iopub.status.idle": "2022-02-07T16:26:43.274932Z",
-     "shell.execute_reply": "2022-02-07T16:26:43.273497Z"
+     "iopub.execute_input": "2022-06-20T23:03:53.387218Z",
+     "iopub.status.busy": "2022-06-20T23:03:53.386670Z",
+     "iopub.status.idle": "2022-06-20T23:03:59.339922Z",
+     "shell.execute_reply": "2022-06-20T23:03:59.339490Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1220,10 +1220,10 @@
    "id": "17ef4147",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:43.285313Z",
-     "iopub.status.busy": "2022-02-07T16:26:43.283946Z",
-     "iopub.status.idle": "2022-02-07T16:26:43.558231Z",
-     "shell.execute_reply": "2022-02-07T16:26:43.559552Z"
+     "iopub.execute_input": "2022-06-20T23:03:59.343950Z",
+     "iopub.status.busy": "2022-06-20T23:03:59.343475Z",
+     "iopub.status.idle": "2022-06-20T23:03:59.481819Z",
+     "shell.execute_reply": "2022-06-20T23:03:59.483168Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1234,9 +1234,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "96K\t/tmp/mtl_raw.geojson\n",
-      "16M\t/tmp/prov_raw.geojson\n",
-      "800K\t/tmp/prov_simp.geojson\n"
+      "96K\t/tmp/mtl_raw.geojson\r\n",
+      "16M\t/tmp/prov_raw.geojson\r\n",
+      "800K\t/tmp/prov_simp.geojson\r\n"
      ]
     }
    ],
@@ -1253,10 +1253,10 @@
    "id": "db34519a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:26:43.575054Z",
-     "iopub.status.busy": "2022-02-07T16:26:43.573531Z",
-     "iopub.status.idle": "2022-02-07T16:27:04.499620Z",
-     "shell.execute_reply": "2022-02-07T16:27:04.497702Z"
+     "iopub.execute_input": "2022-06-20T23:03:59.499321Z",
+     "iopub.status.busy": "2022-06-20T23:03:59.497772Z",
+     "iopub.status.idle": "2022-06-20T23:04:06.900482Z",
+     "shell.execute_reply": "2022-06-20T23:04:06.899599Z"
     }
    },
    "outputs": [],
@@ -1264,9 +1264,9 @@
     "resp = wps.average_polygon(\n",
     "    resource=tasmin_url, \n",
     "    shape=poly_file.absolute(),\n",
-    "    variable='tasmin',\n",
     "    start_date='1990-01-01',\n",
-    "    end_date='1990-01-08'\n",
+    "    end_date='1990-01-08',\n",
+    "    tolerance=-1,  # deactivate finch's tolerance, since we already simplified the shape\n",
     ")"
    ]
   },
@@ -1276,10 +1276,10 @@
    "id": "46026a4b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-02-07T16:27:04.516090Z",
-     "iopub.status.busy": "2022-02-07T16:27:04.514116Z",
-     "iopub.status.idle": "2022-02-07T16:27:04.650292Z",
-     "shell.execute_reply": "2022-02-07T16:27:04.649073Z"
+     "iopub.execute_input": "2022-06-20T23:04:06.913134Z",
+     "iopub.status.busy": "2022-06-20T23:04:06.911149Z",
+     "iopub.status.idle": "2022-06-20T23:04:06.982223Z",
+     "shell.execute_reply": "2022-06-20T23:04:06.981731Z"
     },
     "tags": [
      "nbval-ignore-output"
@@ -1641,20 +1641,22 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:  (time: 8, geom: 2)\n",
+       "Dimensions:       (time: 8, geom: 2, ts: 3)\n",
        "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1990-01-01 1990-01-02 ... 1990-01-08\n",
-       "    lon      (geom) float64 -71.78 -86.04\n",
-       "    lat      (geom) float64 53.39 50.45\n",
-       "  * geom     (geom) int64 0 1\n",
-       "    PRUID    (geom) object &#x27;24&#x27; &#x27;35&#x27;\n",
-       "    PRNAME   (geom) object &#x27;Quebec / Qubec&#x27; &#x27;Ontario&#x27;\n",
-       "    PRENAME  (geom) object &#x27;Quebec&#x27; &#x27;Ontario&#x27;\n",
-       "    PRFNAME  (geom) object &#x27;Qubec&#x27; &#x27;Ontario&#x27;\n",
-       "    PREABBR  (geom) object &#x27;Que.&#x27; &#x27;Ont.&#x27;\n",
-       "    PRFABBR  (geom) object &#x27;Qc&#x27; &#x27;Ont.&#x27;\n",
+       "  * ts            (ts) float32 nan nan nan\n",
+       "  * time          (time) datetime64[ns] 1990-01-01 1990-01-02 ... 1990-01-08\n",
+       "    lon           (geom) float64 -71.78 -86.04\n",
+       "    lat           (geom) float64 53.39 50.45\n",
+       "  * geom          (geom) int64 0 1\n",
+       "    PRUID         (geom) object &#x27;24&#x27; &#x27;35&#x27;\n",
+       "    PRNAME        (geom) object &#x27;Quebec / Qubec&#x27; &#x27;Ontario&#x27;\n",
+       "    PRENAME       (geom) object &#x27;Quebec&#x27; &#x27;Ontario&#x27;\n",
+       "    PRFNAME       (geom) object &#x27;Qubec&#x27; &#x27;Ontario&#x27;\n",
+       "    PREABBR       (geom) object &#x27;Que.&#x27; &#x27;Ont.&#x27;\n",
+       "    PRFABBR       (geom) object &#x27;Qc&#x27; &#x27;Ont.&#x27;\n",
        "Data variables:\n",
-       "    tasmin   (time, geom) float32 nan 262.3 nan 259.7 ... nan 256.0 nan 266.0\n",
+       "    tasmin        (time, geom) float32 nan 262.3 nan 259.7 ... 256.0 nan 266.0\n",
+       "    time_vectors  (time, ts, geom) float64 1.99e+03 1.99e+03 1.0 ... 1.0 8.0 8.0\n",
        "Attributes:\n",
        "    Conventions:     CF-1.5\n",
        "    title:           NRCAN 10km Gridded Climate Dataset\n",
@@ -1662,35 +1664,67 @@
        "    institution:     NRCAN\n",
        "    source:          ANUSPLIN\n",
        "    redistribution:  Redistribution policy unknown. 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-10aacb4d-cee9-49e7-84ad-4ee53498c2dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10aacb4d-cee9-49e7-84ad-4ee53498c2dc' 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>: 8</li><li><span class='xr-has-index'>geom</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-20efeb00-fea3-411c-9fd3-02e0d630d7b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20efeb00-fea3-411c-9fd3-02e0d630d7b4' class='xr-section-summary' >Coordinates: <span>(10)</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'>1990-01-01 ... 1990-01-08</div><input id='attrs-89bd22b7-6a6a-4c41-8a70-d4241bc53492' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89bd22b7-6a6a-4c41-8a70-d4241bc53492' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e9f483-fd23-41f4-ab81-5f981089ebcd' class='xr-var-data-in' type='checkbox'><label for='data-32e9f483-fd23-41f4-ab81-5f981089ebcd' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1990-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-02T00:00:00.000000000&#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-734e6c15-ad83-4e8f-bc3b-ecde0de85c97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-734e6c15-ad83-4e8f-bc3b-ecde0de85c97' 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>: 8</li><li><span class='xr-has-index'>geom</span>: 2</li><li><span class='xr-has-index'>ts</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b045d0f-f4ea-4151-a115-e07bfa100486' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b045d0f-f4ea-4151-a115-e07bfa100486' class='xr-section-summary' >Coordinates: <span>(11)</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'>ts</span></div><div class='xr-var-dims'>(ts)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan</div><input id='attrs-2df2f662-3da3-4d53-9f1d-7fdbabcc15b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2df2f662-3da3-4d53-9f1d-7fdbabcc15b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3517ba0e-2eac-4006-a1d5-ee0656246b8d' class='xr-var-data-in' type='checkbox'><label for='data-3517ba0e-2eac-4006-a1d5-ee0656246b8d' 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>3</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan], dtype=float32)</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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1990-01-01 ... 1990-01-08</div><input id='attrs-3cb52359-e5c7-4cce-af6f-850708848443' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cb52359-e5c7-4cce-af6f-850708848443' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9c5c385-62ab-4724-98cf-514467ab7308' class='xr-var-data-in' type='checkbox'><label for='data-e9c5c385-62ab-4724-98cf-514467ab7308' 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>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1990-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-02T00:00:00.000000000&#x27;,\n",
        "       &#x27;1990-01-03T00:00:00.000000000&#x27;, &#x27;1990-01-04T00:00:00.000000000&#x27;,\n",
        "       &#x27;1990-01-05T00:00:00.000000000&#x27;, &#x27;1990-01-06T00:00:00.000000000&#x27;,\n",
        "       &#x27;1990-01-07T00:00:00.000000000&#x27;, &#x27;1990-01-08T00:00:00.000000000&#x27;],\n",
-       "      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-8ba55d95-03e6-4d1e-bdf6-48a4d84b18fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ba55d95-03e6-4d1e-bdf6-48a4d84b18fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ac60199-b9bd-48fc-8419-6e1a56b21909' class='xr-var-data-in' type='checkbox'><label for='data-9ac60199-b9bd-48fc-8419-6e1a56b21909' 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([-71.781037, -86.044733])</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-ed3aab20-43c6-4487-9718-88f7a67e1e89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed3aab20-43c6-4487-9718-88f7a67e1e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9cfe10d-9d72-43b4-ac51-85d1a23c36d3' class='xr-var-data-in' type='checkbox'><label for='data-c9cfe10d-9d72-43b4-ac51-85d1a23c36d3' 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([53.391903, 50.445628])</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</div><input id='attrs-e1bb9779-db1c-464a-b630-f9fed5eda80b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1bb9779-db1c-464a-b630-f9fed5eda80b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbe4fb18-b51e-4181-8c55-007d3aa5f4db' class='xr-var-data-in' type='checkbox'><label for='data-bbe4fb18-b51e-4181-8c55-007d3aa5f4db' 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRUID</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-07cad091-90bc-4516-ad1d-aa8dd313adf4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07cad091-90bc-4516-ad1d-aa8dd313adf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-412c2d44-797a-479e-8b9e-475a4effc9c9' class='xr-var-data-in' type='checkbox'><label for='data-412c2d44-797a-479e-8b9e-475a4effc9c9' 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;24&#x27;, &#x27;35&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRNAME</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-6480de18-711a-47bd-82f4-44d9d747e150' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6480de18-711a-47bd-82f4-44d9d747e150' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-427e6ec7-0af6-4513-a70d-87a1d37f673a' class='xr-var-data-in' type='checkbox'><label for='data-427e6ec7-0af6-4513-a70d-87a1d37f673a' 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;Quebec / Qubec&#x27;, &#x27;Ontario&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRENAME</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-abd60f15-4937-481e-9f0e-a0f612f4ba9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-abd60f15-4937-481e-9f0e-a0f612f4ba9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcd59822-ca86-4f64-80f4-a42767706894' class='xr-var-data-in' type='checkbox'><label for='data-fcd59822-ca86-4f64-80f4-a42767706894' 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;Quebec&#x27;, &#x27;Ontario&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRFNAME</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-03854914-b66d-4555-88d4-81b384cfdb6c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03854914-b66d-4555-88d4-81b384cfdb6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49839084-7711-4733-a7c2-a8e8a608f653' class='xr-var-data-in' type='checkbox'><label for='data-49839084-7711-4733-a7c2-a8e8a608f653' 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;Qubec&#x27;, &#x27;Ontario&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PREABBR</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-a84d20d1-3537-4726-bc15-300ad8d76945' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a84d20d1-3537-4726-bc15-300ad8d76945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bb5697f-3fe9-4c46-a85a-ca672e714391' class='xr-var-data-in' type='checkbox'><label for='data-2bb5697f-3fe9-4c46-a85a-ca672e714391' 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;Que.&#x27;, &#x27;Ont.&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRFABBR</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-48d1ffe2-cc02-401e-9ad3-dd4601efc00f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48d1ffe2-cc02-401e-9ad3-dd4601efc00f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a825a8-a3ac-45d0-a5cf-599387ed0bf2' class='xr-var-data-in' type='checkbox'><label for='data-44a825a8-a3ac-45d0-a5cf-599387ed0bf2' 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;Qc&#x27;, &#x27;Ont.&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9788b263-d5cb-45d4-b448-1a95c871e7f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9788b263-d5cb-45d4-b448-1a95c871e7f4' 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>tasmin</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-634b3deb-6376-4175-a00d-8eabe5fff68b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-634b3deb-6376-4175-a00d-8eabe5fff68b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d3dbb83-676e-4094-a81d-a9b81caedbab' class='xr-var-data-in' type='checkbox'><label for='data-3d3dbb83-676e-4094-a81d-a9b81caedbab' 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 within days</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[183  42  78]</dd></dl></div><div class='xr-var-data'><pre>array([[      nan, 262.2538 ],\n",
+       "      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-9267f6c6-a6fd-4eea-ad0d-0ecafc815cd3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9267f6c6-a6fd-4eea-ad0d-0ecafc815cd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ce5546-d0d6-411b-85ef-6bc2cb66120b' class='xr-var-data-in' type='checkbox'><label for='data-a3ce5546-d0d6-411b-85ef-6bc2cb66120b' 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([-71.781025, -86.044733])</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-fa9cc32b-19cd-4a49-a72a-0a7cd03eff59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa9cc32b-19cd-4a49-a72a-0a7cd03eff59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d50f948-90e8-4829-b92b-f2870c06d9ff' class='xr-var-data-in' type='checkbox'><label for='data-2d50f948-90e8-4829-b92b-f2870c06d9ff' 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([53.391939, 50.445628])</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</div><input id='attrs-661394f5-c2af-4371-bb39-f4755ba993af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-661394f5-c2af-4371-bb39-f4755ba993af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a591ed0-d15f-4e9e-8f06-91ddd2534940' class='xr-var-data-in' type='checkbox'><label for='data-5a591ed0-d15f-4e9e-8f06-91ddd2534940' 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])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRUID</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-d1052cb8-5caf-4727-8ac0-51c30b1314cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1052cb8-5caf-4727-8ac0-51c30b1314cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45802ee1-fffc-42c2-ad4d-4ab39bccc8d2' class='xr-var-data-in' type='checkbox'><label for='data-45802ee1-fffc-42c2-ad4d-4ab39bccc8d2' 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;24&#x27;, &#x27;35&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRNAME</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-0f0b5cb0-c9c3-41b0-a42b-62e324cf63bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f0b5cb0-c9c3-41b0-a42b-62e324cf63bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeef3ea5-6745-471f-933c-a7a9d842c9e7' class='xr-var-data-in' type='checkbox'><label for='data-eeef3ea5-6745-471f-933c-a7a9d842c9e7' 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;Quebec / Qubec&#x27;, &#x27;Ontario&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRENAME</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-98c84cf6-874c-4617-a9d5-188cba94c019' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98c84cf6-874c-4617-a9d5-188cba94c019' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd18a30c-aa93-4f69-b01d-e528d8f5bb46' class='xr-var-data-in' type='checkbox'><label for='data-cd18a30c-aa93-4f69-b01d-e528d8f5bb46' 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;Quebec&#x27;, &#x27;Ontario&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRFNAME</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-5b320afe-b43d-421f-bf4a-5a60427a55dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b320afe-b43d-421f-bf4a-5a60427a55dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-752b3ebf-fec6-477b-9ae5-558292ae9666' class='xr-var-data-in' type='checkbox'><label for='data-752b3ebf-fec6-477b-9ae5-558292ae9666' 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;Qubec&#x27;, &#x27;Ontario&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PREABBR</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-6af63dd2-358c-48d2-b108-2280ad436364' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6af63dd2-358c-48d2-b108-2280ad436364' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e348e27-c9c8-4b12-b3b8-c0eb9ebb2ee2' class='xr-var-data-in' type='checkbox'><label for='data-3e348e27-c9c8-4b12-b3b8-c0eb9ebb2ee2' 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;Que.&#x27;, &#x27;Ont.&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PRFABBR</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-c5b0580a-9e27-45e7-a556-ec89065e0935' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5b0580a-9e27-45e7-a556-ec89065e0935' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d70da01a-be07-472e-8c52-967a5636c50b' class='xr-var-data-in' type='checkbox'><label for='data-d70da01a-be07-472e-8c52-967a5636c50b' 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;Qc&#x27;, &#x27;Ont.&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ade70c4c-05fd-455c-8024-f2bb8ec50e8d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ade70c4c-05fd-455c-8024-f2bb8ec50e8d' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>tasmin</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-891a16a3-f9a5-4a17-8108-36c7ecc1c406' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-891a16a3-f9a5-4a17-8108-36c7ecc1c406' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-519d9c82-b88a-4260-a0b1-7109cec3183c' class='xr-var-data-in' type='checkbox'><label for='data-519d9c82-b88a-4260-a0b1-7109cec3183c' 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 within days</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>air_temperature</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>_ChunkSizes :</span></dt><dd>[183  42  78]</dd></dl></div><div class='xr-var-data'><pre>array([[      nan, 262.2538 ],\n",
        "       [      nan, 259.74203],\n",
        "       [      nan, 266.14578],\n",
        "       [      nan, 271.44904],\n",
-       "       [      nan, 262.754  ],\n",
+       "       [      nan, 262.75397],\n",
        "       [      nan, 260.30756],\n",
-       "       [      nan, 256.02295],\n",
-       "       [      nan, 265.9701 ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0719af83-9396-47ea-b524-dddd9a0fee34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0719af83-9396-47ea-b524-dddd9a0fee34' 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>NRCAN 10km Gridded Climate Dataset</dd><dt><span>history :</span></dt><dd>2012-10-22T15:44:58: Convert from original format to NetCDF</dd><dt><span>institution :</span></dt><dd>NRCAN</dd><dt><span>source :</span></dt><dd>ANUSPLIN</dd><dt><span>redistribution :</span></dt><dd>Redistribution policy unknown. For internal use only.</dd><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
+       "       [      nan, 256.02292],\n",
+       "       [      nan, 265.9701 ]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_vectors</span></div><div class='xr-var-dims'>(time, ts, geom)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-653d8b2f-c924-4fb9-8eb3-421d663ac2ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-653d8b2f-c924-4fb9-8eb3-421d663ac2ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0091624d-79d5-4dc4-95d9-52f14bf9528d' class='xr-var-data-in' type='checkbox'><label for='data-0091624d-79d5-4dc4-95d9-52f14bf9528d' 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>[122   1  52  28]</dd></dl></div><div class='xr-var-data'><pre>array([[[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [1.00e+00, 1.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [2.00e+00, 2.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [3.00e+00, 3.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [4.00e+00, 4.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [5.00e+00, 5.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [6.00e+00, 6.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [7.00e+00, 7.00e+00]],\n",
+       "\n",
+       "       [[1.99e+03, 1.99e+03],\n",
+       "        [1.00e+00, 1.00e+00],\n",
+       "        [8.00e+00, 8.00e+00]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5929b66f-b217-44c4-a9de-b3fabaca8c59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5929b66f-b217-44c4-a9de-b3fabaca8c59' 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>NRCAN 10km Gridded Climate Dataset</dd><dt><span>history :</span></dt><dd>2012-10-22T15:44:58: Convert from original format to NetCDF</dd><dt><span>institution :</span></dt><dd>NRCAN</dd><dt><span>source :</span></dt><dd>ANUSPLIN</dd><dt><span>redistribution :</span></dt><dd>Redistribution policy unknown. For internal use only.</dd><dt><span>regrid_method :</span></dt><dd>conservative</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:  (time: 8, geom: 2)\n",
+       "Dimensions:       (time: 8, geom: 2, ts: 3)\n",
        "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1990-01-01 1990-01-02 ... 1990-01-08\n",
-       "    lon      (geom) float64 ...\n",
-       "    lat      (geom) float64 ...\n",
-       "  * geom     (geom) int64 0 1\n",
-       "    PRUID    (geom) object ...\n",
-       "    PRNAME   (geom) object ...\n",
-       "    PRENAME  (geom) object ...\n",
-       "    PRFNAME  (geom) object ...\n",
-       "    PREABBR  (geom) object ...\n",
-       "    PRFABBR  (geom) object ...\n",
+       "  * ts            (ts) float32 nan nan nan\n",
+       "  * time          (time) datetime64[ns] 1990-01-01 1990-01-02 ... 1990-01-08\n",
+       "    lon           (geom) float64 ...\n",
+       "    lat           (geom) float64 ...\n",
+       "  * geom          (geom) int64 0 1\n",
+       "    PRUID         (geom) object ...\n",
+       "    PRNAME        (geom) object ...\n",
+       "    PRENAME       (geom) object ...\n",
+       "    PRFNAME       (geom) object ...\n",
+       "    PREABBR       (geom) object ...\n",
+       "    PRFABBR       (geom) object ...\n",
        "Data variables:\n",
-       "    tasmin   (time, geom) float32 ...\n",
+       "    tasmin        (time, geom) float32 ...\n",
+       "    time_vectors  (time, ts, geom) float64 ...\n",
        "Attributes:\n",
        "    Conventions:     CF-1.5\n",
        "    title:           NRCAN 10km Gridded Climate Dataset\n",
@@ -1729,7 +1763,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/environment.yml b/environment.yml
index 7bc37728..933ada16 100644
--- a/environment.yml
+++ b/environment.yml
@@ -26,5 +26,4 @@ dependencies:
   - pywps >= 4.5.1
   - parse
   - xesmf >= 0.6.2
-  - ESMpy <= 8.1.1 # Bug in ESMF 8.2 with spatial averaging.
   - python-slugify
diff --git a/finch/processes/wps_bccaqv2_heatwave.py b/finch/processes/wps_bccaqv2_heatwave.py
index e10dd2a4..0e185b19 100644
--- a/finch/processes/wps_bccaqv2_heatwave.py
+++ b/finch/processes/wps_bccaqv2_heatwave.py
@@ -69,7 +69,6 @@ def __init__(self):
                 min_occurs=0,
             ),
             data_valid,
-            wpsio.output_format_netcdf_csv,
         ]
 
         outputs = [wpsio.output_netcdf_zip]
@@ -150,7 +149,9 @@ def _handler(self, request: WPSRequest, response: ExecuteResponse):
                 subtask_percentage=n * 100 // n_pairs,
             )
 
-            compute_inputs = [i.identifier for i in self.indices_process.inputs]
+            compute_inputs = [i.identifier
+                              for i in self.indices_process.inputs
+                              if i.identifier not in ['output_format']]
             inputs = {k: v for k, v in request.inputs.items() if k in compute_inputs}
 
             inputs["tasmin"] = deque([make_nc_input("tasmin")], maxlen=1)
diff --git a/finch/processes/wps_ensemble_indices_bbox.py b/finch/processes/wps_ensemble_indices_bbox.py
index a69c31b7..16da680a 100644
--- a/finch/processes/wps_ensemble_indices_bbox.py
+++ b/finch/processes/wps_ensemble_indices_bbox.py
@@ -50,7 +50,7 @@ def __init__(self):
             if i.identifier not in xclim_netcdf_variables:
                 inputs.append(i)
 
-        inputs.extend([wpsio.output_format_netcdf_csv, wpsio.output_prefix])
+        inputs.extend([wpsio.output_prefix, wpsio.output_format_netcdf_csv])
 
         outputs = [wpsio.output_netcdf_zip, wpsio.output_log]
 
diff --git a/finch/processes/wps_ensemble_indices_point.py b/finch/processes/wps_ensemble_indices_point.py
index fd1a3161..6111fd10 100644
--- a/finch/processes/wps_ensemble_indices_point.py
+++ b/finch/processes/wps_ensemble_indices_point.py
@@ -48,7 +48,7 @@ def __init__(self):
             if i.identifier not in xclim_netcdf_variables:
                 inputs.append(i)
 
-        inputs.extend([wpsio.output_format_netcdf_csv, wpsio.output_prefix])
+        inputs.extend([wpsio.output_prefix, wpsio.output_format_netcdf_csv])
 
         outputs = [wpsio.output_netcdf_zip, wpsio.output_log]
 
diff --git a/finch/processes/wps_ensemble_indices_polygon.py b/finch/processes/wps_ensemble_indices_polygon.py
index f9f8b0a5..cf72576f 100644
--- a/finch/processes/wps_ensemble_indices_polygon.py
+++ b/finch/processes/wps_ensemble_indices_polygon.py
@@ -46,7 +46,7 @@ def __init__(self):
             if i.identifier not in xclim_netcdf_variables:
                 inputs.append(i)
 
-        inputs.extend([wpsio.output_format_netcdf_csv, wpsio.output_prefix])
+        inputs.extend([wpsio.output_prefix, wpsio.output_format_netcdf_csv])
 
         outputs = [wpsio.output_netcdf_zip, wpsio.output_log]
 
diff --git a/finch/processes/wps_geoseries_to_netcdf.py b/finch/processes/wps_geoseries_to_netcdf.py
index 1dda4d6f..acd1326d 100644
--- a/finch/processes/wps_geoseries_to_netcdf.py
+++ b/finch/processes/wps_geoseries_to_netcdf.py
@@ -68,7 +68,7 @@ def __init__(self):
 
         outputs = [
             ComplexOutput(
-                "output_netcdf",
+                "output",
                 "Geospatial series as netCDF",
                 abstract="The geospatial series as a 2 dimension netCDF.",
                 as_reference=True,
@@ -167,7 +167,7 @@ def _handler(self, request, response):
         dataset_to_netcdf(ds, output_file)
 
         # Fill response
-        response.outputs["output_netcdf"].file = str(output_file)
+        response.outputs["output"].file = str(output_file)
         response.outputs["output_log"].file = str(log_file_path(self))
 
 
diff --git a/finch/processes/wps_hourly_to_daily.py b/finch/processes/wps_hourly_to_daily.py
index 18a306d9..481048ea 100644
--- a/finch/processes/wps_hourly_to_daily.py
+++ b/finch/processes/wps_hourly_to_daily.py
@@ -39,7 +39,7 @@ def __init__(self):
 
         outputs = [
             ComplexOutput(
-                "output_netcdf",
+                "output",
                 "Daily statistic in netCDF",
                 abstract="The daily statistic computed from hourly data.",
                 as_reference=True,
@@ -88,7 +88,7 @@ def _handler(self, request, response):
         dataset_to_netcdf(out, output_file)
 
         # Fill response
-        response.outputs["output_netcdf"].file = str(output_file)
+        response.outputs["output"].file = str(output_file)
         response.outputs["output_log"].file = str(log_file_path(self))
 
 
diff --git a/finch/processes/wps_xclim_indices.py b/finch/processes/wps_xclim_indices.py
index 6cf09e86..a5dd28a5 100644
--- a/finch/processes/wps_xclim_indices.py
+++ b/finch/processes/wps_xclim_indices.py
@@ -3,7 +3,6 @@
 from pathlib import Path
 from typing import List, Optional
 
-from pywps import ComplexOutput, FORMATS
 from pywps.app.exceptions import ProcessError
 from unidecode import unidecode
 import xarray as xr
@@ -12,13 +11,16 @@
 from .constants import xclim_netcdf_variables
 from .utils import (
     compute_indices,
+    dataset_to_dataframe,
     dataset_to_netcdf,
     drs_filename,
+    format_metadata,
     log_file_path,
     make_metalink_output,
     single_input_or_none,
     valid_filename,
     write_log,
+    zip_files
 )
 from .wps_base import (
     FinchProcess,
@@ -44,22 +46,11 @@ def __init__(self):
                 "Use the `make_xclim_indicator_process` function instead."
             )
 
-        outputs = [
-            ComplexOutput(
-                "output_netcdf",
-                "Function output in netCDF",
-                abstract="The indicator values computed on the original input grid.",
-                as_reference=True,
-                supported_formats=[
-                    FORMATS.NETCDF,
-                ],  # To support FORMATS.DODS we need to get the URL.
-            ),
-            wpsio.output_log,
-            wpsio.output_metalink,
-        ]
+        outputs = [wpsio.output_netcdf_zip, wpsio.output_log, wpsio.output_metalink]
 
         inputs = convert_xclim_inputs_to_pywps(self.xci.parameters, self.xci.identifier)
-        inputs += wpsio.xclim_common_options + [wpsio.variable_any, wpsio.output_name]
+        inputs += wpsio.xclim_common_options
+        inputs += [wpsio.variable_any, wpsio.output_name, wpsio.output_format_netcdf_csv]
 
         super().__init__(
             self._handler,
@@ -73,19 +64,21 @@ def __init__(self):
             store_supported=True,
         )
 
-        self.status_percentage_steps = {
-            "start": 5,
-            "done": 99,
-        }
+        self.status_percentage_steps = {"start": 5, "convert_to_csv": 90, "done": 99}
 
     def _handler(self, request, response):
-        write_log(self, "Computing the output netcdf", process_step="start")
+        convert_to_csv = single_input_or_none(request.inputs, "output_format") == "csv"
+        if not convert_to_csv:
+            del self.status_percentage_steps["convert_to_csv"]
 
+        write_log(self, "Computing the output array", process_step="start")
+
+        # 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:
                 nc_inputs[k] = v
-            else:
+            elif k not in ['output_format', 'output_name']:
                 other_inputs[k] = v
 
         n_files = len(list(nc_inputs.values())[0])
@@ -135,9 +128,33 @@ def _log(message, percentage):
                 dataset_to_netcdf(out, output_filename)
                 out.close()
 
+        if convert_to_csv:
+            write_log(self, "Converting netCDFs to CSV", process_step="convert_to_csv")
+            output_netcdfs = output_files
+            output_files = []
+            for outfile in output_netcdfs:
+                outcsv = outfile.with_suffix('.csv')
+                ds = xr.open_dataset(outfile, decode_timedelta=False)
+                df = dataset_to_dataframe(ds)
+                df.to_csv(outcsv)
+                output_files.append(outcsv)
+
+                metadata = format_metadata(ds)
+                outmeta = outfile.with_suffix('.metadata.txt')
+                outmeta.write_text(metadata)
+                output_files.append(outmeta)
+
+            if len(output_netcdfs) == 1:
+                output_final = output_netcdfs[0].with_suffix('.zip')
+            else:
+                output_final = Path(self.workdir) / f"{self.identifier}_output.zip"
+            zip_files(output_final, output_files)
+        else:
+            output_final = output_files[0]
+
         metalink = make_metalink_output(self, output_files)
 
-        response.outputs["output_netcdf"].file = str(output_files[0])
+        response.outputs["output"].file = str(output_final)
         response.outputs["output_log"].file = str(log_file_path(self))
         response.outputs["ref"].data = metalink.xml
 
diff --git a/finch/processes/wpsio.py b/finch/processes/wpsio.py
index 8f83f2dc..d4e63d45 100644
--- a/finch/processes/wpsio.py
+++ b/finch/processes/wpsio.py
@@ -232,7 +232,7 @@ def copy_io(
 output_format_netcdf_csv = LiteralInput(
     "output_format",
     "Output format choice",
-    abstract="Choose in which format you want to recieve the result",
+    abstract="Choose in which format you want to receive the result. CSV actually means a zip file of two csv files.",
     data_type="string",
     allowed_values=["netcdf", "csv"],
     default="netcdf",
diff --git a/requirements.txt b/requirements.txt
index be8a9319..3db4ef93 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,7 +4,6 @@ xclim==0.31
 xarray>=0.18.2
 pandas
 xesmf>=0.6.2
-ESMpy<=8.1.1
 clisops>=0.8.0
 geopandas
 jinja2
@@ -14,7 +13,7 @@ bottleneck
 netcdf4
 numpy
 unidecode
-dask[complete]<=2022.1.0
+dask[complete]
 scipy
 requests
 sentry-sdk
diff --git a/requirements_dev.txt b/requirements_dev.txt
index 8dd39a50..aba71dc8 100644
--- a/requirements_dev.txt
+++ b/requirements_dev.txt
@@ -1,5 +1,4 @@
-# https://github.com/computationalmodelling/nbval/issues/139 broken by pytest 6.0.0
-pytest==5.4.3
+pytest
 flake8
 pytest-flake8
 ipython
@@ -11,7 +10,7 @@ sphinx>=1.7
 bumpversion
 twine
 cruft
-jupyter_client<7.0  # https://github.com/jupyter/jupyter_console/issues/241
+jupyter_client
 # Changing dependencies above this comment will create merge conflicts when updating the cookiecutter template with cruft. Add extra requirements below this line. 
 birdhouse-birdy>=0.8.1
 geojson


Test patch:
diff --git a/tests/test_wps_bccaqv2_heatwave.py b/tests/test_wps_bccaqv2_heatwave.py
index 5e101422..6b8f3abc 100644
--- a/tests/test_wps_bccaqv2_heatwave.py
+++ b/tests/test_wps_bccaqv2_heatwave.py
@@ -30,7 +30,7 @@ def test_bccaqv2_heatwave_frequency(client, mock_datasets):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
diff --git a/tests/test_wps_bccaqv2_subset.py b/tests/test_wps_bccaqv2_subset.py
index d03c57a4..81c011e6 100644
--- a/tests/test_wps_bccaqv2_subset.py
+++ b/tests/test_wps_bccaqv2_subset.py
@@ -23,7 +23,7 @@ def test_bccaqv2_subset_point(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -46,7 +46,7 @@ def test_bccaqv2_subset_point_csv(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -69,7 +69,7 @@ def test_bccaqv2_subset_point_multiple(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -92,7 +92,7 @@ def test_bccaqv2_subset_point_multiple_csv(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -115,7 +115,7 @@ def test_bccaqv2_subset_point_multiple_same_cell(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -139,7 +139,7 @@ def test_bccaqv2_subset_point_lat0_lon0_deprecation(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     zf = zipfile.ZipFile(outputs[0])
@@ -161,7 +161,7 @@ def test_bccaqv2_subset_bbox_process(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -186,7 +186,7 @@ def test_bccaqv2_subset_bbox_process_csv(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -215,6 +215,6 @@ def test_bccaqv2_subset_online(client):
         wps_literal_input("y1", "2011"),
     ]
 
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     print(outputs)
diff --git a/tests/test_wps_ensemble.py b/tests/test_wps_ensemble.py
index a99e382f..4b405953 100644
--- a/tests/test_wps_ensemble.py
+++ b/tests/test_wps_ensemble.py
@@ -50,7 +50,7 @@ def test_ensemble_heatwave_frequency_grid_point(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -91,7 +91,7 @@ def test_ensemble_dded_grid_point_multircp(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -130,7 +130,7 @@ def test_ensemble_heatwave_frequency_bbox(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -152,7 +152,7 @@ def test_ensemble_heatwave_frequency_bbox(mock_datasets, client):
         assert variable_dims == {"time": 4, "lat": 2, "lon": 2, "rcp": 1}
 
     inputs.append(wps_literal_input("average", "True"))
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     assert len(outputs) == 1
     ds = open_dataset(outputs[0])
@@ -184,7 +184,7 @@ def test_ensemble_heatwave_frequency_grid_point_csv(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -216,7 +216,7 @@ def test_ensemble_heatwave_frequency_bbox_csv(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -244,7 +244,7 @@ def test_ensemble_heatwave_frequency_grid_point_dates(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -289,7 +289,7 @@ def test_ensemble_heatwave_frequency_grid_point_models(mock_datasets, client):
         "finch.processes.ensemble_utils.get_bccaqv2_local_files_datasets"
     ) as mock_datasets:
         mock_datasets.return_value = [str(subset_sample / f) for f in mock_filenames]
-        execute_process(client, identifier, inputs, output_names=["output"])
+        execute_process(client, identifier, inputs)
 
     # --- then ---
     assert mock_datasets.call_args[1]["models"] == [
@@ -320,7 +320,7 @@ def test_ensemble_heatwave_frequency_grid_point_models_pcic(mock_datasets, clien
         "finch.processes.ensemble_utils.get_bccaqv2_local_files_datasets"
     ) as mock_datasets:
         mock_datasets.return_value = [str(subset_sample / f) for f in mock_filenames]
-        execute_process(client, identifier, inputs, output_names=["output"])
+        execute_process(client, identifier, inputs)
 
     # --- then ---
     assert mock_datasets.call_args[1]["models"] == [PCIC_12]
@@ -368,7 +368,7 @@ def test_ensemble_compute_intermediate_cold_spell_duration_index_grid_point(
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -401,7 +401,7 @@ def test_ensemble_compute_intermediate_growing_degree_days_grid_point(
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -437,7 +437,7 @@ def test_ensemble_heatwave_frequency_polygon(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -462,7 +462,7 @@ def test_ensemble_heatwave_frequency_polygon(mock_datasets, client):
         assert variable_dims == {"lat": 11, "lon": 11, "time": 4, "rcp": 1}
 
     inputs.append(wps_literal_input("average", "True"))
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -494,7 +494,7 @@ def test_ensemble_heatwave_frequency_polygon_csv(mock_datasets, client):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
@@ -512,7 +512,7 @@ def test_ensemble_heatwave_frequency_polygon_csv(mock_datasets, client):
     inputs.append(wps_literal_input("average", "True"))
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     assert len(outputs) == 1
diff --git a/tests/test_wps_xaverage_polygon.py b/tests/test_wps_xaverage_polygon.py
index 9ad7b713..a365e52b 100644
--- a/tests/test_wps_xaverage_polygon.py
+++ b/tests/test_wps_xaverage_polygon.py
@@ -23,7 +23,7 @@ def test_wps_averagepoly(client, netcdf_datasets):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     ds = xr.open_dataset(outputs[0])
@@ -45,7 +45,7 @@ def test_wps_averagepoly_shapefile(client, netcdf_datasets, tolerance):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     ds = xr.open_dataset(outputs[0])
diff --git a/tests/test_wps_xclim_indices.py b/tests/test_wps_xclim_indices.py
index 818d7495..500aae3f 100644
--- a/tests/test_wps_xclim_indices.py
+++ b/tests/test_wps_xclim_indices.py
@@ -4,6 +4,7 @@
 import numpy as np
 import xarray as xr
 import pandas as pd
+from zipfile import ZipFile
 
 import finch
 import finch.processes
@@ -41,6 +42,7 @@ def test_indicators_processes_discovery(indicator):
     parameters.add("data_validation")
     parameters.add("variable")
     parameters.add("output_name")
+    parameters.add("output_format")
     if "indexer" in parameters:
         parameters.remove("indexer")
         parameters.add("month")
@@ -112,7 +114,7 @@ def test_wps_daily_temperature_range_multiple(client, netcdf_datasets):
         "finch.processes.wps_xclim_indices.FinchProgressBar"
     ) as mock_progress:
         outputs = execute_process(
-            client, identifier, inputs, output_names=["output_netcdf", "ref"]
+            client, identifier, inputs, output_names=["output", "ref"]
         )
 
     assert mock_progress.call_args_list[0][1]["start_percentage"] == 0
@@ -139,7 +141,7 @@ def test_wps_daily_temperature_range_multiple_not_same_length(client, netcdf_dat
 
     with pytest.raises(ProcessError, match="must be equal"):
         execute_process(
-            client, identifier, inputs, output_names=["output_netcdf", "ref"]
+            client, identifier, inputs, output_names=["output", "ref"]
         )
 
 
@@ -300,9 +302,12 @@ def test_degree_days_exceedance_date(client, tmp_path):
     inputs = [wps_input_file("tas", tmp_path / "tas.nc"),
               wps_literal_input("thresh", "4 degC"),
               wps_literal_input("op", ">"),
-              wps_literal_input("sum_thresh", "200 K days")
+              wps_literal_input("sum_thresh", "200 K days"),
+              wps_literal_input("output_format", "csv")
               ]
 
     outputs = execute_process(client, identifier, inputs)
-    with xr.open_dataset(outputs[0]) as ds:
-        np.testing.assert_array_equal(ds.degree_days_exceedance_date, np.array([[153, 136, 9, 6]]).T)
+    with ZipFile(outputs[0]) as thezip:
+        with thezip.open('out.csv') as thefile:
+            ds = pd.read_csv(thefile).to_xarray()
+    np.testing.assert_array_equal(ds.degree_days_exceedance_date, np.array([153, 136, 9, 6]))
diff --git a/tests/test_wps_xsubset_polygon.py b/tests/test_wps_xsubset_polygon.py
index 83459ec4..d28c281d 100644
--- a/tests/test_wps_xsubset_polygon.py
+++ b/tests/test_wps_xsubset_polygon.py
@@ -1,7 +1,6 @@
 import geojson
 import xarray as xr
 from tests.utils import execute_process, shapefile_zip, wps_input_file, wps_literal_input
-import pytest
 
 poly = {
     "type": "Feature",
@@ -23,7 +22,7 @@ def test_wps_subsetpoly(client, netcdf_datasets):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     ds = xr.open_dataset(outputs[0])
@@ -43,7 +42,7 @@ def test_wps_subsetpoly_shapefile(client, netcdf_datasets):
     ]
 
     # --- when ---
-    outputs = execute_process(client, identifier, inputs, output_names=["output"])
+    outputs = execute_process(client, identifier, inputs)
 
     # --- then ---
     ds = xr.open_dataset(outputs[0])
diff --git a/tests/utils.py b/tests/utils.py
index 096639c5..ab6cc30a 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -65,7 +65,7 @@ def wps_literal_input(identifier, value):
 
 
 def execute_process(
-    client, identifier, inputs, output_names=("output_netcdf",)
+    client, identifier, inputs, output_names=("output",)
 ) -> xr.Dataset:
     """Execute a process using the test client, and return the 'output_netcdf' output as an xarray.Dataset"""
     request_doc = WPS.Execute(