.. code-block::

   '/usr/share/miniconda3/envs/benchmarking/bin/python'





Benchmark Report: Kumpula
=========================

Evaluation against observations
-------------------------------


.. image:: output_8_0.png
   :target: output_8_0.png
   :alt: png



.. image:: output_8_1.png
   :target: output_8_1.png
   :alt: png



.. image:: output_8_2.png
   :target: output_8_2.png
   :alt: png



.. image:: output_8_3.png
   :target: output_8_3.png
   :alt: png


Cross-comparison in model variables between releases
----------------------------------------------------

Statistics tables
^^^^^^^^^^^^^^^^^


.. raw:: html

   <div>
   <style scoped>
       .dataframe tbody tr th:only-of-type {
           vertical-align: middle;
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       .dataframe tbody tr th {
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   </style>
   <table border="1" class="dataframe">
     <thead>
       <tr style="text-align: right;">
         <th></th>
         <th></th>
         <th>max</th>
         <th>mean</th>
         <th>min</th>
         <th>std</th>
       </tr>
       <tr>
         <th>var</th>
         <th>cfg</th>
         <th></th>
         <th></th>
         <th></th>
         <th></th>
       </tr>
     </thead>
     <tbody>
       <tr>
         <th rowspan="3" valign="top">QE</th>
         <th>v2018b</th>
         <td>420.1789</td>
         <td>32.176985</td>
         <td>0.0000</td>
         <td>50.247240</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>363.3333</td>
         <td>40.176611</td>
         <td>-15.1680</td>
         <td>57.304144</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>364.7063</td>
         <td>40.154414</td>
         <td>-4.9875</td>
         <td>56.116881</td>
       </tr>
       <tr>
         <th rowspan="3" valign="top">QH</th>
         <th>v2018b</th>
         <td>323.4186</td>
         <td>27.373271</td>
         <td>-149.0707</td>
         <td>53.931322</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>299.0840</td>
         <td>18.126074</td>
         <td>-136.4823</td>
         <td>44.113125</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>312.1944</td>
         <td>26.236391</td>
         <td>-80.1915</td>
         <td>50.532695</td>
       </tr>
       <tr>
         <th rowspan="3" valign="top">QS</th>
         <th>v2018b</th>
         <td>347.1066</td>
         <td>4.165376</td>
         <td>-64.5724</td>
         <td>80.052768</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>347.1066</td>
         <td>10.603671</td>
         <td>-64.4294</td>
         <td>74.559061</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>288.3368</td>
         <td>4.589565</td>
         <td>-75.2515</td>
         <td>59.203251</td>
       </tr>
     </tbody>
   </table>
   </div>



.. raw:: html

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           text-align: right;
       }
   </style>
   <table border="1" class="dataframe">
     <thead>
       <tr style="text-align: right;">
         <th></th>
         <th></th>
         <th>25%</th>
         <th>50%</th>
         <th>75%</th>
       </tr>
       <tr>
         <th>var</th>
         <th>cfg</th>
         <th></th>
         <th></th>
         <th></th>
       </tr>
     </thead>
     <tbody>
       <tr>
         <th rowspan="3" valign="top">QE</th>
         <th>v2018b</th>
         <td>0.086000</td>
         <td>7.20080</td>
         <td>43.027550</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>3.489625</td>
         <td>14.87445</td>
         <td>50.788700</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>5.085000</td>
         <td>16.37705</td>
         <td>48.083075</td>
       </tr>
       <tr>
         <th rowspan="3" valign="top">QH</th>
         <th>v2018b</th>
         <td>-1.268325</td>
         <td>11.26045</td>
         <td>37.486625</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>-4.739675</td>
         <td>10.01935</td>
         <td>26.618125</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>-0.455975</td>
         <td>11.29700</td>
         <td>31.794725</td>
       </tr>
       <tr>
         <th rowspan="3" valign="top">QS</th>
         <th>v2018b</th>
         <td>-45.727525</td>
         <td>-35.70705</td>
         <td>23.343425</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>-37.675500</td>
         <td>-10.60335</td>
         <td>18.572275</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>-32.919675</td>
         <td>-11.82290</td>
         <td>7.862975</td>
       </tr>
     </tbody>
   </table>
   </div>


Pair plots
^^^^^^^^^^


.. image:: output_17_0.png
   :target: output_17_0.png
   :alt: png



.. image:: output_17_1.png
   :target: output_17_1.png
   :alt: png



.. image:: output_17_2.png
   :target: output_17_2.png
   :alt: png


Time Series Plots
^^^^^^^^^^^^^^^^^


.. image:: output_21_0.png
   :target: output_21_0.png
   :alt: png



.. image:: output_21_1.png
   :target: output_21_1.png
   :alt: png



.. image:: output_21_2.png
   :target: output_21_2.png
   :alt: png