diff --git a/scenario comparison/scenarios_vs_historical.ipynb b/scenario comparison/scenarios_vs_historical.ipynb index 92eb8b6f9f2b89e6838db788650b9b8b595f51cd..7a43685a4801acb10ddb5e618631adae57005165 100644 --- a/scenario comparison/scenarios_vs_historical.ipynb +++ b/scenario comparison/scenarios_vs_historical.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 1, "id": "d632c09d-0b9e-4cb7-8623-b0d2b323bae3", "metadata": { "tags": [] @@ -662,23 +662,23 @@ " nominal_resolution: 50 km\n", " source_id: CEDS-2017-08-30\n", " tracking_id: hdl:21.14100/649247a5-afc6-4e25-b777-9d7a77a...\n", - " CDO: Climate Data Operators version 1.7.0 (http:/...</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-bbf30f3f-f5d7-4d57-a151-398ce945ac68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bbf30f3f-f5d7-4d57-a151-398ce945ac68' 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'>lon</span>: 720</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>lev</span>: 1</li><li><span class='xr-has-index'>time</span>: 3180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ff6c739a-272c-4971-a4aa-26ca7aa998d1' class='xr-section-summary-in' type='checkbox' checked><label for='section-ff6c739a-272c-4971-a4aa-26ca7aa998d1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-58d070c7-afec-4dac-88db-008214eeed14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58d070c7-afec-4dac-88db-008214eeed14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9514b626-d698-47cc-a998-9f1841ead315' class='xr-var-data-in' type='checkbox'><label for='data-9514b626-d698-47cc-a998-9f1841ead315' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ..., 178.75, 179.25, 179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-b28b388c-a965-49fd-aeb5-b2cc6d7bf3f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b28b388c-a965-49fd-aeb5-b2cc6d7bf3f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cf89dc8-728b-421f-bdd3-2b440446bcc9' class='xr-var-data-in' type='checkbox'><label for='data-6cf89dc8-728b-421f-bdd3-2b440446bcc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ..., 88.75, 89.25, 89.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.0</div><input id='attrs-95e3e9e0-9d12-4cd2-8c12-7da869767f81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95e3e9e0-9d12-4cd2-8c12-7da869767f81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ec2dabe-7a02-4982-90b5-ace32a0f4d6a' class='xr-var-data-in' type='checkbox'><label for='data-2ec2dabe-7a02-4982-90b5-ace32a0f4d6a' 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>meters</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([45.])</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'>1750-01-16 00:00:00 ... 2014-12-...</div><input id='attrs-7a589673-8a66-48c7-a6c1-9f3447d80730' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a589673-8a66-48c7-a6c1-9f3447d80730' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec18f161-5164-4537-9498-027b71e5bed2' class='xr-var-data-in' type='checkbox'><label for='data-ec18f161-5164-4537-9498-027b71e5bed2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1750, 1, 16, 0, 0, 0, 0, has_year_zero=True),\n", + " CDO: Climate Data Operators version 1.7.0 (http:/...</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-a151f873-38da-4947-af5a-330dc27172a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a151f873-38da-4947-af5a-330dc27172a5' 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'>lon</span>: 720</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>lev</span>: 1</li><li><span class='xr-has-index'>time</span>: 3180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b702d47-15a1-429f-89c8-d520a9b35ef5' class='xr-section-summary-in' type='checkbox' checked><label for='section-2b702d47-15a1-429f-89c8-d520a9b35ef5' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-f2b435d8-90b8-406c-bad7-95738f7a7672' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2b435d8-90b8-406c-bad7-95738f7a7672' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea5535a7-b60a-4c03-9603-bbb41f06ae33' class='xr-var-data-in' type='checkbox'><label for='data-ea5535a7-b60a-4c03-9603-bbb41f06ae33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>bounds :</span></dt><dd>lon_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ..., 178.75, 179.25, 179.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-5b386fdb-b138-410e-b43c-492056eb2d43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b386fdb-b138-410e-b43c-492056eb2d43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-271e6fd9-346b-4de3-8b24-6eab8c93e1c8' class='xr-var-data-in' type='checkbox'><label for='data-271e6fd9-346b-4de3-8b24-6eab8c93e1c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>bounds :</span></dt><dd>lat_bnds</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ..., 88.75, 89.25, 89.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>45.0</div><input id='attrs-e6d3c123-03b2-48eb-b781-34531a129580' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6d3c123-03b2-48eb-b781-34531a129580' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6226f0af-c646-4915-a83b-dfe2e71c2995' class='xr-var-data-in' type='checkbox'><label for='data-6226f0af-c646-4915-a83b-dfe2e71c2995' 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>meters</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([45.])</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'>1750-01-16 00:00:00 ... 2014-12-...</div><input id='attrs-be3942ed-ad9d-4ec4-bf84-3a1047fb0125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be3942ed-ad9d-4ec4-bf84-3a1047fb0125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-350ba111-4b56-46e7-858c-85403ed8a18b' class='xr-var-data-in' type='checkbox'><label for='data-350ba111-4b56-46e7-858c-85403ed8a18b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1750, 1, 16, 0, 0, 0, 0, has_year_zero=True),\n", " cftime.DatetimeNoLeap(1750, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n", " cftime.DatetimeNoLeap(1750, 3, 16, 0, 0, 0, 0, has_year_zero=True), ...,\n", " cftime.DatetimeNoLeap(2014, 10, 16, 0, 0, 0, 0, has_year_zero=True),\n", " cftime.DatetimeNoLeap(2014, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n", " cftime.DatetimeNoLeap(2014, 12, 16, 0, 0, 0, 0, has_year_zero=True)],\n", - " dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b62dd6e7-6695-4b13-9a51-ee90d7013bcd' class='xr-section-summary-in' type='checkbox' checked><label for='section-b62dd6e7-6695-4b13-9a51-ee90d7013bcd' class='xr-section-summary' >Data variables: <span>(7)</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>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-a1d30cfa-a813-46b8-b0f0-b332037e2d3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1d30cfa-a813-46b8-b0f0-b332037e2d3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-123b7d25-ecfa-48dd-b537-05d68be51974' class='xr-var-data-in' type='checkbox'><label for='data-123b7d25-ecfa-48dd-b537-05d68be51974' 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>[1440 values with dtype=float64]</pre></div></li><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-3c868d1f-b9fc-43e3-8040-3e2889f6b7fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c868d1f-b9fc-43e3-8040-3e2889f6b7fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-612fc2de-9809-4361-aafc-c0c3cd87ee8d' class='xr-var-data-in' type='checkbox'><label for='data-612fc2de-9809-4361-aafc-c0c3cd87ee8d' 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>[720 values with dtype=float64]</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-1a3828fe-05f9-488c-9408-1b7241f08527' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a3828fe-05f9-488c-9408-1b7241f08527' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5cc3edc-8dad-48b3-9473-907d1ce37ba5' class='xr-var-data-in' type='checkbox'><label for='data-e5cc3edc-8dad-48b3-9473-907d1ce37ba5' 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>[6360 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf01f993-6454-44ae-918f-690bcf7022fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf01f993-6454-44ae-918f-690bcf7022fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-821e7072-33fd-4ced-8760-cae49c9b2095' class='xr-var-data-in' type='checkbox'><label for='data-821e7072-33fd-4ced-8760-cae49c9b2095' 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>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NH3_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4d3071d-7963-4f1c-a913-4db19916b756' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4d3071d-7963-4f1c-a913-4db19916b756' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df456cc0-ec8a-4e48-91a2-f440c7db5d16' class='xr-var-data-in' type='checkbox'><label for='data-df456cc0-ec8a-4e48-91a2-f440c7db5d16' 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>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NOx_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-59a550a1-3bb2-49fb-a853-603e72d2527d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59a550a1-3bb2-49fb-a853-603e72d2527d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de1bcfa0-38f7-481e-b80d-037c1091fef6' class='xr-var-data-in' type='checkbox'><label for='data-de1bcfa0-38f7-481e-b80d-037c1091fef6' 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>kg(NO2) m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO2_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74566db4-4006-4384-bda6-f76d3cc7f8f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74566db4-4006-4384-bda6-f76d3cc7f8f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f15a4660-c96a-43d3-bf7d-45e007c006e5' class='xr-var-data-in' type='checkbox'><label for='data-f15a4660-c96a-43d3-bf7d-45e007c006e5' 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>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abbfc4f5-7073-4b84-aed0-87112423b515' class='xr-section-summary-in' type='checkbox' ><label for='section-abbfc4f5-7073-4b84-aed0-87112423b515' class='xr-section-summary' >Indexes: <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-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8da28e3b-28e2-41cc-889b-4bb1aee89bbd' class='xr-index-data-in' type='checkbox'/><label for='index-8da28e3b-28e2-41cc-889b-4bb1aee89bbd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.75, -179.25, -178.75, -178.25, -177.75, -177.25, -176.75, -176.25,\n", + " dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5dad6399-8d30-422d-8152-4cd921ef4ea4' class='xr-section-summary-in' type='checkbox' checked><label for='section-5dad6399-8d30-422d-8152-4cd921ef4ea4' class='xr-section-summary' >Data variables: <span>(7)</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>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-010a6466-994e-4013-a64d-262a9c097287' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-010a6466-994e-4013-a64d-262a9c097287' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9497d6-b906-40d3-9e55-3db33d38e6ab' class='xr-var-data-in' type='checkbox'><label for='data-fa9497d6-b906-40d3-9e55-3db33d38e6ab' 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>[1440 values with dtype=float64]</pre></div></li><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-ddbb5532-8fa0-4c1a-b481-2634181bd279' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddbb5532-8fa0-4c1a-b481-2634181bd279' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fed2f5e6-19aa-46ab-92f8-c47bef7aa1e3' class='xr-var-data-in' type='checkbox'><label for='data-fed2f5e6-19aa-46ab-92f8-c47bef7aa1e3' 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>[720 values with dtype=float64]</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-5bfbfb4b-ef60-483e-a011-f2e77d9e34a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5bfbfb4b-ef60-483e-a011-f2e77d9e34a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f24951a-ec00-43b6-83e3-424006af8638' class='xr-var-data-in' type='checkbox'><label for='data-4f24951a-ec00-43b6-83e3-424006af8638' 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>[6360 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0cc2823-c47a-4f93-b5e7-d5bdc91a33ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0cc2823-c47a-4f93-b5e7-d5bdc91a33ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33dcba32-259d-45cf-ac66-b870b928f306' class='xr-var-data-in' type='checkbox'><label for='data-33dcba32-259d-45cf-ac66-b870b928f306' 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>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NH3_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9532a4d7-41d2-42c3-86d7-ea0e9b3903ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9532a4d7-41d2-42c3-86d7-ea0e9b3903ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afab0636-0df2-46b6-8df8-cb468a799262' class='xr-var-data-in' type='checkbox'><label for='data-afab0636-0df2-46b6-8df8-cb468a799262' 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>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NOx_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac4a7ac4-3616-4b60-8401-5775aa1305c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac4a7ac4-3616-4b60-8401-5775aa1305c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c75a8635-aa17-4a02-a946-2d9e13b73f75' class='xr-var-data-in' type='checkbox'><label for='data-c75a8635-aa17-4a02-a946-2d9e13b73f75' 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>kg(NO2) m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO2_flux</span></div><div class='xr-var-dims'>(time, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b157ab9-cec0-407e-90bb-18317ad77c73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b157ab9-cec0-407e-90bb-18317ad77c73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32750ce9-79c6-46b3-a184-a3239540a46a' class='xr-var-data-in' type='checkbox'><label for='data-32750ce9-79c6-46b3-a184-a3239540a46a' 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>kg m-2 s-1</dd></dl></div><div class='xr-var-data'><pre>[824256000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2d2bff9-0413-42f9-bfe6-dca2391a58af' class='xr-section-summary-in' type='checkbox' ><label for='section-c2d2bff9-0413-42f9-bfe6-dca2391a58af' class='xr-section-summary' >Indexes: <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-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a90037ea-0c9b-445d-9ce9-3044c3dc117f' class='xr-index-data-in' type='checkbox'/><label for='index-a90037ea-0c9b-445d-9ce9-3044c3dc117f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-179.75, -179.25, -178.75, -178.25, -177.75, -177.25, -176.75, -176.25,\n", " -175.75, -175.25,\n", " ...\n", " 175.25, 175.75, 176.25, 176.75, 177.25, 177.75, 178.25, 178.75,\n", " 179.25, 179.75],\n", - " dtype='float64', name='lon', length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b235603b-2b84-49b2-a326-ae732630bcd0' class='xr-index-data-in' type='checkbox'/><label for='index-b235603b-2b84-49b2-a326-ae732630bcd0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.75, -89.25, -88.75, -88.25, -87.75, -87.25, -86.75, -86.25, -85.75,\n", + " dtype='float64', name='lon', length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e9bd9135-dce0-460e-b1ab-27f1533c8741' class='xr-index-data-in' type='checkbox'/><label for='index-e9bd9135-dce0-460e-b1ab-27f1533c8741' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-89.75, -89.25, -88.75, -88.25, -87.75, -87.25, -86.75, -86.25, -85.75,\n", " -85.25,\n", " ...\n", " 85.25, 85.75, 86.25, 86.75, 87.25, 87.75, 88.25, 88.75, 89.25,\n", " 89.75],\n", - " dtype='float64', name='lat', length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lev</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bf41b1ae-d835-476b-99c3-f0e1f3f1379a' class='xr-index-data-in' type='checkbox'/><label for='index-bf41b1ae-d835-476b-99c3-f0e1f3f1379a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([45.0], dtype='float64', name='lev'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc915f2f-8896-4a8a-b9e8-58c6e01ad87b' class='xr-index-data-in' type='checkbox'/><label for='index-fc915f2f-8896-4a8a-b9e8-58c6e01ad87b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1750-01-16 00:00:00, 1750-02-15 00:00:00, 1750-03-16 00:00:00,\n", + " dtype='float64', name='lat', length=360))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lev</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7d790d18-73c0-4b1c-9862-8bcec8aefe37' class='xr-index-data-in' type='checkbox'/><label for='index-7d790d18-73c0-4b1c-9862-8bcec8aefe37' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([45.0], dtype='float64', name='lev'))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e99b90f9-3717-41b8-b389-acd1fa6f2729' class='xr-index-data-in' type='checkbox'/><label for='index-e99b90f9-3717-41b8-b389-acd1fa6f2729' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([1750-01-16 00:00:00, 1750-02-15 00:00:00, 1750-03-16 00:00:00,\n", " 1750-04-16 00:00:00, 1750-05-16 00:00:00, 1750-06-16 00:00:00,\n", " 1750-07-16 00:00:00, 1750-08-16 00:00:00, 1750-09-16 00:00:00,\n", " 1750-10-16 00:00:00,\n", @@ -687,7 +687,7 @@ " 2014-06-16 00:00:00, 2014-07-16 00:00:00, 2014-08-16 00:00:00,\n", " 2014-09-16 00:00:00, 2014-10-16 00:00:00, 2014-11-16 00:00:00,\n", " 2014-12-16 00:00:00],\n", - " dtype='object', length=3180, calendar='noleap', freq='None'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50215aaa-3580-48f7-8ced-15a6c95ef248' class='xr-section-summary-in' type='checkbox' ><label for='section-50215aaa-3580-48f7-8ced-15a6c95ef248' class='xr-section-summary' >Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.7.0 (http://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Tue Aug 28 23:02:02 2018: cdo -O -Q copy /scratch/b/b324024/tmp/DECK_for_EMAC/tmp2/CMIP6v6.1_DLR1.0_DECK_road_MISC_175001-201412.nc /scratch/b/b324024/tmp/DECK_for_EMAC/CMIP6v6.1_DLR1.0_DECK_road_MISC_175001-201412.nc\n", + " dtype='object', length=3180, calendar='noleap', freq='None'))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30fea54a-d608-4c0f-85d9-376494e24dde' class='xr-section-summary-in' type='checkbox' ><label for='section-30fea54a-d608-4c0f-85d9-376494e24dde' class='xr-section-summary' >Attributes: <span>(39)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.7.0 (http://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Tue Aug 28 23:02:02 2018: cdo -O -Q copy /scratch/b/b324024/tmp/DECK_for_EMAC/tmp2/CMIP6v6.1_DLR1.0_DECK_road_MISC_175001-201412.nc /scratch/b/b324024/tmp/DECK_for_EMAC/CMIP6v6.1_DLR1.0_DECK_road_MISC_175001-201412.nc\n", "Tue Aug 28 22:59:59 2018: ncks -A /scratch/b/b324024/tmp/DECK_for_EMAC/bnds/all_bounds_anthro_input4MIPs.nc /scratch/b/b324024/tmp/DECK_for_EMAC/tmp1/CMIP6v6.1_DLR1.0_DECK_road_MISC_175001-201412.nc\n", "Tue Aug 28 14:05:41 2018: ncks -O -v lon_bnds,lat_bnds,time_bnds BC-em-AIR-anthro_input4MIPs_emissions_CMIP_CEDS-2017-08-30_gn_175001-179912.nc all_bounds_anthro_input4MIPs.nc\n", "06-09-2017 18:34:58 PM UTC; College Park, MD, USA</dd><dt><span>source :</span></dt><dd>CEDS-2017-08-30: Community Emissions Data System (CEDS) for Historical Emissions</dd><dt><span>institution :</span></dt><dd>Pacific Northwest National Laboratory - Joint Global Change Research Institute, College Park, MD 20740, USA</dd><dt><span>reference1 :</span></dt><dd>Lamarque et al.(2010), doi:10.5194/acp-10-7017-2010</dd><dt><span>reference2 :</span></dt><dd>Pozzer et al. (2009),doi:10.5194/acp-9-9417-2009</dd><dt><span>creation_date :</span></dt><dd>2017-09-06T18:34:58Z</dd><dt><span>title :</span></dt><dd>Annual Aircraft Anthropogenic Emissions of BC prepared for input4MIPs</dd><dt><span>NCO :</span></dt><dd>4.6.7</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd><dt><span>history_of_appended_files :</span></dt><dd>Tue Aug 28 22:59:59 2018: Appended file /scratch/b/b324024/tmp/DECK_for_EMAC/bnds/all_bounds_anthro_input4MIPs.nc had following "history" attribute:\n", @@ -760,7 +760,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 14, "id": "fd7836aa-84ce-4ecd-a5de-e03b27c997fa", "metadata": { "tags": [] @@ -775,7 +775,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 15, "id": "5061f3cf-e235-408e-aa7b-463e0f153e92", "metadata": { "tags": [] @@ -824,7 +824,7 @@ }, { "cell_type": "code", - "execution_count": 142, + "execution_count": 16, "id": "375be570-4824-415d-8bf9-5f4bd3ddacb0", "metadata": { "tags": [] @@ -871,7 +871,7 @@ }, { "cell_type": "code", - "execution_count": 144, + "execution_count": 17, "id": "d1e371ac-88ca-4c21-8da3-e7e7bfe76952", "metadata": { "tags": [] @@ -939,64 +939,60 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 19, "id": "84377e1d-1620-42a7-aa7f-a67ad35011f1", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "Length mismatch: Expected axis has 1 elements, new values have 2 elements", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[19], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m cams_nox_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/home/b/b309253/data-exploration/emissions/cams-glob-ant-anthro-nox.csv\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 2\u001b[0m cams_nox_data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(cams_nox_file, sep\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcams_nox_data\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCAMS Road\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 4\u001b[0m cams_nox_data \u001b[38;5;241m=\u001b[39m cams_nox_data\u001b[38;5;241m.\u001b[39mset_index(pd\u001b[38;5;241m.\u001b[39mdate_range(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m1/1/2000\u001b[39m\u001b[38;5;124m\"\u001b[39m, periods\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m24\u001b[39m, freq\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m'\u001b[39m))\u001b[38;5;241m.\u001b[39mdrop(columns \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m'\u001b[39m])\n", + "File \u001b[0;32m/sw/spack-levante/mambaforge-22.9.0-2-Linux-x86_64-kptncg/lib/python3.10/site-packages/pandas/core/generic.py:6002\u001b[0m, in \u001b[0;36mNDFrame.__setattr__\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m 6000\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 6001\u001b[0m \u001b[38;5;28mobject\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getattribute__\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)\n\u001b[0;32m-> 6002\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mobject\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__setattr__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6003\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m:\n\u001b[1;32m 6004\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", + "File \u001b[0;32m/sw/spack-levante/mambaforge-22.9.0-2-Linux-x86_64-kptncg/lib/python3.10/site-packages/pandas/_libs/properties.pyx:69\u001b[0m, in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32m/sw/spack-levante/mambaforge-22.9.0-2-Linux-x86_64-kptncg/lib/python3.10/site-packages/pandas/core/generic.py:730\u001b[0m, in \u001b[0;36mNDFrame._set_axis\u001b[0;34m(self, axis, labels)\u001b[0m\n\u001b[1;32m 725\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 726\u001b[0m \u001b[38;5;124;03mThis is called from the cython code when we set the `index` attribute\u001b[39;00m\n\u001b[1;32m 727\u001b[0m \u001b[38;5;124;03mdirectly, e.g. `series.index = [1, 2, 3]`.\u001b[39;00m\n\u001b[1;32m 728\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 729\u001b[0m labels \u001b[38;5;241m=\u001b[39m ensure_index(labels)\n\u001b[0;32m--> 730\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 731\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clear_item_cache()\n", + "File \u001b[0;32m/sw/spack-levante/mambaforge-22.9.0-2-Linux-x86_64-kptncg/lib/python3.10/site-packages/pandas/core/internals/managers.py:225\u001b[0m, in \u001b[0;36mBaseBlockManager.set_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m 223\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mset_axis\u001b[39m(\u001b[38;5;28mself\u001b[39m, axis: AxisInt, new_labels: Index) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 224\u001b[0m \u001b[38;5;66;03m# Caller is responsible for ensuring we have an Index object.\u001b[39;00m\n\u001b[0;32m--> 225\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_set_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_labels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 226\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes[axis] \u001b[38;5;241m=\u001b[39m new_labels\n", + "File \u001b[0;32m/sw/spack-levante/mambaforge-22.9.0-2-Linux-x86_64-kptncg/lib/python3.10/site-packages/pandas/core/internals/base.py:70\u001b[0m, in \u001b[0;36mDataManager._validate_set_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m 67\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m new_len \u001b[38;5;241m!=\u001b[39m old_len:\n\u001b[0;32m---> 70\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 71\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength mismatch: Expected axis has \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mold_len\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m elements, new \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 72\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalues have \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnew_len\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m elements\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 73\u001b[0m )\n", + "\u001b[0;31mValueError\u001b[0m: Length mismatch: Expected axis has 1 elements, new values have 2 elements" + ] + } + ], "source": [ - "cams_file = '/home/b/b309253/data-exploration/emissions/cams-glob-ant-anthro-nox.csv'\n", - "cams_data = pd.read_csv(cams_file, sep='\\t')\n", - "cams_data.columns = ['Date', 'CAMS Off Road', 'CAMS Road', 'CAMS Sum']\n", - "cams_data = cams_data.set_index(pd.date_range(\"1/1/2000\", periods=24, freq='Y')).drop(columns = ['Date'])" + "cams_nox_file = '/home/b/b309253/data-exploration/emissions/cams-glob-ant-anthro-nox.csv'\n", + "cams_nox_data = pd.read_csv(cams_nox_file, sep='\\t')\n", + "cams_nox_data.columns = ['Date', 'CAMS Road']\n", + "cams_nox_data = cams_nox_data.set_index(pd.date_range(\"1/1/2000\", periods=24, freq='Y')).drop(columns = ['Date'])" ] }, { "cell_type": "code", - "execution_count": 87, + "execution_count": null, "id": "34c63c20-e320-4323-8469-7e672d3cde19", "metadata": { "tags": [] }, "outputs": [], "source": [ - "ceds_file = '/home/b/b309253/data-exploration/emissions/ceds-anthro-nox-yearly.csv'\n", - "ceds_data = pd.read_csv(ceds_file, sep=',')\n", - "ceds_data.columns = ['Date', 'CEDS tranport']\n", - "ceds_data\n", - "ceds_data = ceds_data.set_index(pd.date_range(\"1/1/1950\", periods=65, freq='Y')).drop(columns = ['Date'])" + "ceds_nox_file = '/home/b/b309253/data-exploration/emissions/ceds-anthro-nox-yearly.csv'\n", + "ceds_nox_data = pd.read_csv(ceds_nox_file, sep=',')\n", + "ceds_nox_data.columns = ['Date', 'CEDS tranport']\n", + "ceds_nox_data\n", + "ceds_nox_data = ceds_nox_data.set_index(pd.date_range(\"1/1/1950\", periods=65, freq='Y')).drop(columns = ['Date'])" ] }, { "cell_type": "code", - "execution_count": 146, + "execution_count": null, "id": "5da24dc3-098e-4ed7-9cec-e6cbb37697bb", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Tg(N)/a')" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 640x480 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ax = ceds_data.plot()\n", "cams_data.plot(ax=ax)\n", @@ -1016,7 +1012,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": null, "id": "febfd5ef-20f2-46ad-a352-0206af7e59ee", "metadata": { "tags": [] @@ -1031,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": null, "id": "31f6de82-eca3-4ed3-aabc-b6124d6033c6", "metadata": { "tags": [] @@ -1046,33 +1042,12 @@ }, { "cell_type": "code", - "execution_count": 152, + "execution_count": null, "id": "f0c7b549-97d3-4f6e-bdcb-cb03896d2799", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Tg(N)/a')" - ] - }, - "execution_count": 152, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 640x480 with 1 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ax = ceds_nh3_data.plot()\n", "cams_nh3_data.plot(ax=ax)\n", @@ -1092,27 +1067,15 @@ }, { "cell_type": "code", - "execution_count": 153, + "execution_count": null, "id": "ea3c0a21-9aa3-48b4-a018-de01399de37a", "metadata": { "tags": [] }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'cams_so2_data' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[153], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m cams_so2_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/home/b/b309253/data-exploration/emissions/cams-glob-ant-anthro-so2.csv\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 2\u001b[0m cams_sos_data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(cams_so2_file, sep\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mcams_so2_data\u001b[49m\u001b[38;5;241m.\u001b[39mcolumns \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mCAMS Road\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 4\u001b[0m cams_so2_data \u001b[38;5;241m=\u001b[39m cams_so2_data\u001b[38;5;241m.\u001b[39mset_index(pd\u001b[38;5;241m.\u001b[39mdate_range(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m1/1/2000\u001b[39m\u001b[38;5;124m\"\u001b[39m, periods\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m24\u001b[39m, freq\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mY\u001b[39m\u001b[38;5;124m'\u001b[39m))\u001b[38;5;241m.\u001b[39mdrop(columns \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDate\u001b[39m\u001b[38;5;124m'\u001b[39m])\n", - "\u001b[0;31mNameError\u001b[0m: name 'cams_so2_data' is not defined" - ] - } - ], + "outputs": [], "source": [ "cams_so2_file = '/home/b/b309253/data-exploration/emissions/cams-glob-ant-anthro-so2.csv'\n", - "cams_sos_data = pd.read_csv(cams_so2_file, sep=',')\n", + "cams_so2_data = pd.read_csv(cams_so2_file, sep=',')\n", "cams_so2_data.columns = ['Date', 'CAMS Road']\n", "cams_so2_data = cams_so2_data.set_index(pd.date_range(\"1/1/2000\", periods=24, freq='Y')).drop(columns = ['Date'])" ] @@ -1120,78 +1083,126 @@ { "cell_type": "code", "execution_count": null, - "id": "bc450025-f98f-4e40-ae97-f7ac5dd030c9", - "metadata": {}, + "id": "b6dc224e-6598-421e-a5c4-088b4d5a6c48", + "metadata": { + "tags": [] + }, "outputs": [], - "source": [] + "source": [ + "ceds_so2_file = '/home/b/b309253/data-exploration/emissions/ceds-anthro-so2-yearly.csv'\n", + "ceds_so2_data = pd.read_csv(ceds_so2_file, sep=',')\n", + "ceds_so2_data.columns = ['Date', 'CEDS tranport']\n", + "ceds_so2_data = ceds_so2_data.set_index(pd.date_range(\"1/1/1950\", periods=70, freq='Y')).drop(columns = ['Date'])" + ] }, { "cell_type": "code", "execution_count": null, - "id": "6e785052-c044-43ab-b11a-991c1c17e1bb", - "metadata": {}, + "id": "bc450025-f98f-4e40-ae97-f7ac5dd030c9", + "metadata": { + "tags": [] + }, "outputs": [], - "source": [] + "source": [ + "ax = ceds_so2_data.plot()\n", + "cams_so2_data.plot(ax=ax)\n", + "emissions_SO2_road.plot(ax=ax)\n", + "SO2_hist_emissions[220:].plot(ax= ax)\n", + "ax.set_title('Yearly total road emissions of SO2')\n", + "ax.set_ylabel('Tg(N)/a')" + ] + }, + { + "cell_type": "markdown", + "id": "719ac640-89b3-48a6-8843-84ca4d449daf", + "metadata": {}, + "source": [ + "# CO" + ] }, { "cell_type": "code", "execution_count": null, "id": "fd6e547c-cf24-421f-b7dd-a00b533990d6", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], - "source": [] + "source": [ + "cams_co_file = '/home/b/b309253/data-exploration/emissions/cams-glob-ant-anthro-co.csv'\n", + "cams_co_data = pd.read_csv(cams_co_file, sep=',')\n", + "cams_co_data.columns = ['Date', 'CAMS Road']\n", + "cams_co_data = cams_co_data.set_index(pd.date_range(\"1/1/2000\", periods=24, freq='Y')).drop(columns = ['Date'])" + ] }, { "cell_type": "code", "execution_count": null, "id": "9418d4bb-e785-4203-b76f-f8f0de4f501b", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], - "source": [] + "source": [ + "ceds_co_file = '/home/b/b309253/data-exploration/emissions/ceds-anthro-co-yearly.csv'\n", + "ceds_co_data = pd.read_csv(ceds_so2_file, sep=',')\n", + "ceds_co_data.columns = ['Date', 'CEDS tranport']\n", + "ceds_co_data = ceds_co_data.set_index(pd.date_range(\"1/1/1950\", periods=70, freq='Y')).drop(columns = ['Date'])" + ] }, { "cell_type": "code", "execution_count": null, "id": "dfeae6d9-ab74-4b98-95aa-8c7609b7abad", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], - "source": [] + "source": [ + "ax = ceds_co_data.plot()\n", + "cams_co_data.plot(ax=ax)\n", + "emissions_CO_road.plot(ax=ax)\n", + "CO_hist_emissions[220:].plot(ax= ax)\n", + "ax.set_title('Yearly total road emissions of CO')\n", + "ax.set_ylabel('Tg(N)/a')" + ] + }, + { + "cell_type": "markdown", + "id": "fd63a790-42cb-4f6d-887c-28c7ca388c5f", + "metadata": {}, + "source": [ + "# Visualizing all species together" + ] }, { "cell_type": "code", - "execution_count": 129, + "execution_count": null, "id": "4375409e-3a29-4e3b-82d0-2eb6449c4b08", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "<Figure size 1200x480 with 4 Axes>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig4, axs4 = plt.subplots(2,2)\n", "fig4.set_figwidth(12)\n", "\n", - "N = 45\n", - "dates = pd.date_range(\"1/1/1970\", periods=N, freq='Y')\n", "\n", - "axs4[0,0].plot(dates, NOx_hist_road_yearly_global_weighted_averages[220:])\n", + "NOx_hist_emissions[220:].plot(ax= axs4[0,0])\n", "ceds_data.plot(ax= axs4[0,0])\n", "cams_data.plot(ax= axs4[0,0])\n", "emissions_NOx_road.plot(title = 'Yearly total road emissions of NOx across scenarios', ax= axs4[0,0])\n", - "axs4[0,1].plot(dates, NH3_hist_road_yearly_global_weighted_averages[220:])\n", + "NH3_hist_emissions[220:].plot(ax= axs4[0,1])\n", + "ceds_nh3_data.plot(ax= axs4[0,1])\n", + "cams_nh3_data.plot(ax= axs4[0,1])\n", "emissions_NH3_road.plot(title = 'Yearly total road emissions of NH3 across scenarios', ax= axs4[0,1])\n", - "axs4[1,0].plot(dates, CO_hist_road_yearly_global_weighted_averages[220:])\n", + "CO_hist_emissions[220:].plot(ax= axs4[1,0])\n", + "ceds_co_data.plot(ax= axs4[1,0])\n", + "cams_co_data.plot(ax= axs4[1,0])\n", "emissions_CO_road.plot(title = 'Yearly total road emissions of CO across scenarios', ax= axs4[1,0])\n", - "axs4[1,1].plot(dates, SO2_hist_road_yearly_global_weighted_averages[220:])\n", + "SO2_hist_emissions[220:].plot(ax= axs4[1,1])\n", + "ceds_so2_data.plot(ax= axs4[1,1])\n", + "cams_so2_data.plot(ax= axs4[1,1])\n", "emissions_SO2_road.plot(title = 'Yearly total road emissions of SO2 across scenarios', ax= axs4[1,1])\n", "\n", "axs4[0,0].set_ylabel('Tg(NO)')\n", @@ -1201,6 +1212,14 @@ "fig4.tight_layout()" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "9ba6dd4b-0742-4bd2-8430-09e5b87b556f", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -1208,6 +1227,14 @@ "metadata": {}, "outputs": [], "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a8d9e49-0965-47cf-9db3-3d919f8b1b93", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": {