.. code-block::

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





Benchmark Report: London_KCL
============================

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>
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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="6" valign="top">QE</th>
         <th>v2016a</th>
         <td>220.2041</td>
         <td>31.009465</td>
         <td>2.5513</td>
         <td>22.846273</td>
       </tr>
       <tr>
         <th>v2018a</th>
         <td>214.6120</td>
         <td>32.786982</td>
         <td>2.5344</td>
         <td>25.571561</td>
       </tr>
       <tr>
         <th>v2018b</th>
         <td>196.1063</td>
         <td>26.359601</td>
         <td>2.7967</td>
         <td>16.639024</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>192.3989</td>
         <td>31.670440</td>
         <td>3.0022</td>
         <td>23.328714</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>193.7461</td>
         <td>30.976883</td>
         <td>2.2162</td>
         <td>24.359231</td>
       </tr>
       <tr>
         <th>v2020a</th>
         <td>188.4581</td>
         <td>17.009533</td>
         <td>0.0008</td>
         <td>20.571910</td>
       </tr>
       <tr>
         <th rowspan="6" valign="top">QH</th>
         <th>v2016a</th>
         <td>341.4824</td>
         <td>99.412500</td>
         <td>-71.0421</td>
         <td>69.578933</td>
       </tr>
       <tr>
         <th>v2018a</th>
         <td>313.5731</td>
         <td>97.075230</td>
         <td>-70.8136</td>
         <td>63.046545</td>
       </tr>
       <tr>
         <th>v2018b</th>
         <td>263.9571</td>
         <td>93.403871</td>
         <td>-71.0497</td>
         <td>53.795997</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>249.9434</td>
         <td>88.102904</td>
         <td>-71.0488</td>
         <td>47.851973</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>293.7812</td>
         <td>91.690893</td>
         <td>-17.2605</td>
         <td>60.210002</td>
       </tr>
       <tr>
         <th>v2020a</th>
         <td>343.8141</td>
         <td>105.661539</td>
         <td>-16.9684</td>
         <td>71.402468</td>
       </tr>
       <tr>
         <th rowspan="6" valign="top">QS</th>
         <th>v2016a</th>
         <td>425.2703</td>
         <td>19.950828</td>
         <td>-81.9412</td>
         <td>95.837626</td>
       </tr>
       <tr>
         <th>v2018a</th>
         <td>442.2319</td>
         <td>20.530669</td>
         <td>-102.0439</td>
         <td>101.004205</td>
       </tr>
       <tr>
         <th>v2018b</th>
         <td>446.1120</td>
         <td>30.529581</td>
         <td>-84.3358</td>
         <td>115.885166</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>446.1120</td>
         <td>30.574299</td>
         <td>-84.3358</td>
         <td>115.938190</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>380.3393</td>
         <td>20.847574</td>
         <td>-100.8323</td>
         <td>101.135654</td>
       </tr>
       <tr>
         <th>v2020a</th>
         <td>380.3393</td>
         <td>20.847463</td>
         <td>-100.8323</td>
         <td>101.135706</td>
       </tr>
     </tbody>
   </table>
   </div>



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     <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="6" valign="top">QE</th>
         <th>v2016a</th>
         <td>14.0871</td>
         <td>22.4930</td>
         <td>43.9611</td>
       </tr>
       <tr>
         <th>v2018a</th>
         <td>14.2113</td>
         <td>23.1403</td>
         <td>45.5683</td>
       </tr>
       <tr>
         <th>v2018b</th>
         <td>14.0992</td>
         <td>21.7541</td>
         <td>35.6539</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>14.7869</td>
         <td>22.9786</td>
         <td>43.9539</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>13.3311</td>
         <td>21.7946</td>
         <td>43.1012</td>
       </tr>
       <tr>
         <th>v2020a</th>
         <td>1.9844</td>
         <td>10.4150</td>
         <td>22.8017</td>
       </tr>
       <tr>
         <th rowspan="6" valign="top">QH</th>
         <th>v2016a</th>
         <td>44.7494</td>
         <td>79.9604</td>
         <td>141.3578</td>
       </tr>
       <tr>
         <th>v2018a</th>
         <td>46.2201</td>
         <td>85.7697</td>
         <td>135.2339</td>
       </tr>
       <tr>
         <th>v2018b</th>
         <td>51.9994</td>
         <td>81.2333</td>
         <td>127.2982</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>51.2439</td>
         <td>79.7873</td>
         <td>117.6050</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>44.9397</td>
         <td>80.6484</td>
         <td>124.6814</td>
       </tr>
       <tr>
         <th>v2020a</th>
         <td>51.9811</td>
         <td>90.2817</td>
         <td>140.7832</td>
       </tr>
       <tr>
         <th rowspan="6" valign="top">QS</th>
         <th>v2016a</th>
         <td>-51.7317</td>
         <td>-18.0854</td>
         <td>56.5394</td>
       </tr>
       <tr>
         <th>v2018a</th>
         <td>-52.7114</td>
         <td>-18.8167</td>
         <td>60.2720</td>
       </tr>
       <tr>
         <th>v2018b</th>
         <td>-54.2622</td>
         <td>-21.6236</td>
         <td>78.7215</td>
       </tr>
       <tr>
         <th>v2018c</th>
         <td>-54.2622</td>
         <td>-21.6236</td>
         <td>78.7215</td>
       </tr>
       <tr>
         <th>v2019a</th>
         <td>-53.1249</td>
         <td>-18.6473</td>
         <td>62.6909</td>
       </tr>
       <tr>
         <th>v2020a</th>
         <td>-53.1249</td>
         <td>-18.6473</td>
         <td>62.6909</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