adding inventories to emissions

emissions/.ipynb_checkpoints/historical_emissions-checkpoint.ipynb

 {
- "cells": [],
- "metadata": {},
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "14c2e348-a778-4c62-914f-740d8248493b",
+   "metadata": {},
+   "source": [
+    "# Historical emissions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b5954e9e-dfcf-45d6-bd71-275eb1bbb845",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import glob\n",
+    "from IPython.display import Image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "26750783-2379-4532-8520-736187905daf",
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       " '/pool/data/MESSY/DATA/MESSy2/raw/offemis/CMIP6/CMIP6v6.1_DLR1.0_DECK_road_aerosol_185001-185912.nc',\n",
+       " '/pool/data/MESSY/DATA/MESSy2/raw/offemis/CMIP6/CMIP6v6.1_DLR1.0_DECK_road_NMVOC_181001-181912.nc',\n",
+       " '/pool/data/MESSY/DATA/MESSy2/raw/offemis/CMIP6/CMIP6v6.1_DLR1.0_DECK_road_aerosol_201401-201412.nc',\n",
+       " '/pool/data/MESSY/DATA/MESSy2/raw/offemis/CMIP6/CMIP6v6.1_DLR1.0_DECK_road_NMVOC_194001-194912.nc']"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "path_hist = '/pool/data/MESSY/DATA/MESSy2/raw/offemis/CMIP6/*DECK_road_*.nc'\n",
+    "files_hist = glob.glob(path_hist)\n",
+    "files_hist"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "4eeb225e-79d7-4670-a0ba-74dd587fc28b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "path_road_misc =  '/pool/data/MESSY/DATA/MESSy2/raw/offemis/CMIP6/CMIP6v6.1_DLR1.0_DECK_road_MISC_175001-201412.nc'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "1a680b77-aeae-4651-b969-8f3ad062c545",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "seconds_in_year = 31536000.\n",
+    "area_earth = 5.1006447295*pow(10,14)\n",
+    "k_to_tera = pow(10, -9)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "1f204678-097f-4519-96f3-22a871e553fe",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data_road_misc = xr.open_dataset(path_road_misc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0d8a2c7f-c613-46f6-ac2c-a27f9b2bb5bf",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:    (lon: 720, bnds: 2, lat: 360, lev: 1, time: 3180)\n",
+       "Coordinates:\n",
+       "  * lon        (lon) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
+       "  * lat        (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
+       "  * lev        (lev) float64 45.0\n",
+       "  * time       (time) object 1750-01-16 00:00:00 ... 2014-12-16 00:00:00\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lon_bnds   (lon, bnds) float64 ...\n",
+       "    lat_bnds   (lat, bnds) float64 ...\n",
+       "    time_bnds  (time, bnds) object ...\n",
+       "    CO_flux    (time, lev, lat, lon) float32 ...\n",
+       "    NH3_flux   (time, lev, lat, lon) float32 ...\n",
+       "    NOx_flux   (time, lev, lat, lon) float32 ...\n",
+       "    SO2_flux   (time, lev, lat, lon) float32 ...\n",
+       "Attributes: (12/39)\n",
+       "    CDI:                         Climate Data Interface version 1.7.0 (http:/...\n",
+       "    Conventions:                 CF-1.6\n",
+       "    history:                     Tue Aug 28 23:02:02 2018: cdo -O -Q copy /sc...\n",
+       "    source:                      CEDS-2017-08-30: Community Emissions Data Sy...\n",
+       "    institution:                 Pacific Northwest National Laboratory - Join...\n",
+       "    reference1:                  Lamarque et al.(2010), doi:10.5194/acp-10-70...\n",
+       "    ...                          ...\n",
+       "    data_usage_tips:             Note that these are monthly average fluxes.\n",
+       "    reporting_unit:              Mass flux of BC, reported as carbon mass\n",
+       "    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-77f1f66e-c792-4e41-a448-da3e9ae9b53a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-77f1f66e-c792-4e41-a448-da3e9ae9b53a' 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-f78c4356-6d08-48f1-ab33-89cf21ce7f35' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f78c4356-6d08-48f1-ab33-89cf21ce7f35' 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-6c2c25ef-6315-452a-b5a4-bbafefc65568' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c2c25ef-6315-452a-b5a4-bbafefc65568' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f539ddc7-89f4-44f1-bde5-e5f41c16d347' class='xr-var-data-in' type='checkbox'><label for='data-f539ddc7-89f4-44f1-bde5-e5f41c16d347' 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-1d860e80-ec72-43c8-8987-36fb1ded1597' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d860e80-ec72-43c8-8987-36fb1ded1597' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d827efa2-8100-42db-848e-bde75a7d83cc' class='xr-var-data-in' type='checkbox'><label for='data-d827efa2-8100-42db-848e-bde75a7d83cc' 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-f96042ec-e032-474d-b87f-9d7d3df5cafd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f96042ec-e032-474d-b87f-9d7d3df5cafd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8803bd28-7f36-449a-bee9-5fed68e3933b' class='xr-var-data-in' type='checkbox'><label for='data-8803bd28-7f36-449a-bee9-5fed68e3933b' 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-5bc1b61d-4bc5-4d0c-b8c9-7a178fc5013c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bc1b61d-4bc5-4d0c-b8c9-7a178fc5013c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf932ffe-4008-4a6d-9668-0b799e2ba95a' class='xr-var-data-in' type='checkbox'><label for='data-cf932ffe-4008-4a6d-9668-0b799e2ba95a' 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-6faf463b-2e9d-4d30-8738-1b7bb8183731' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6faf463b-2e9d-4d30-8738-1b7bb8183731' 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-f54760cd-a0a1-402a-8529-71c063a95b78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f54760cd-a0a1-402a-8529-71c063a95b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaf1e73f-8ee6-483a-8293-5620864fa2cc' class='xr-var-data-in' type='checkbox'><label for='data-eaf1e73f-8ee6-483a-8293-5620864fa2cc' 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-68656367-be23-4906-823b-92c584270fd8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68656367-be23-4906-823b-92c584270fd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c6bab96-ab2e-47e7-8c3e-df57f31a9eb8' class='xr-var-data-in' type='checkbox'><label for='data-7c6bab96-ab2e-47e7-8c3e-df57f31a9eb8' 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-3d8fc2a8-d7d1-49e1-9a75-91e3dfc8aea6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d8fc2a8-d7d1-49e1-9a75-91e3dfc8aea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a9e192-ec3b-4106-87f5-e4d95a957657' class='xr-var-data-in' type='checkbox'><label for='data-96a9e192-ec3b-4106-87f5-e4d95a957657' 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-7e34609c-e91e-45ae-ba4a-3187fd7a3c4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e34609c-e91e-45ae-ba4a-3187fd7a3c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00b0faaa-c261-4708-900c-627770ff45fc' class='xr-var-data-in' type='checkbox'><label for='data-00b0faaa-c261-4708-900c-627770ff45fc' 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-b23ec907-4b3c-4b40-b807-291730f22cfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b23ec907-4b3c-4b40-b807-291730f22cfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-738dfd5e-2289-4c23-a185-15aa89824790' class='xr-var-data-in' type='checkbox'><label for='data-738dfd5e-2289-4c23-a185-15aa89824790' 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-23d5129e-6ae5-43c8-ba18-f43d6f3b2c5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23d5129e-6ae5-43c8-ba18-f43d6f3b2c5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-660560b1-95c8-4cc6-8e9a-476ebfa347e0' class='xr-var-data-in' type='checkbox'><label for='data-660560b1-95c8-4cc6-8e9a-476ebfa347e0' 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-d3094953-a9e1-4ae4-a510-f3c1d20449a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3094953-a9e1-4ae4-a510-f3c1d20449a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d2a84ca-b9a2-474a-bee8-f06677f715f9' class='xr-var-data-in' type='checkbox'><label for='data-4d2a84ca-b9a2-474a-bee8-f06677f715f9' 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-2ac8c2d2-1958-4919-bd6f-5c458d8c2f57' class='xr-section-summary-in' type='checkbox'  ><label for='section-2ac8c2d2-1958-4919-bd6f-5c458d8c2f57' 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-7d86bf89-3a71-41c7-ba8f-1d5703ca8742' class='xr-index-data-in' type='checkbox'/><label for='index-7d86bf89-3a71-41c7-ba8f-1d5703ca8742' 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=&#x27;float64&#x27;, name=&#x27;lon&#x27;, 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-824d754c-2976-4db2-8358-ed49cc13146f' class='xr-index-data-in' type='checkbox'/><label for='index-824d754c-2976-4db2-8358-ed49cc13146f' 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=&#x27;float64&#x27;, name=&#x27;lat&#x27;, 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-2a9efae0-97f3-4eb9-bd3b-1cde3b426203' class='xr-index-data-in' type='checkbox'/><label for='index-2a9efae0-97f3-4eb9-bd3b-1cde3b426203' 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=&#x27;float64&#x27;, name=&#x27;lev&#x27;))</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-d5a16692-d36f-4f1a-a762-6220febbecbb' class='xr-index-data-in' type='checkbox'/><label for='index-d5a16692-d36f-4f1a-a762-6220febbecbb' 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",
+       "             ...\n",
+       "             2014-03-16 00:00:00, 2014-04-16 00:00:00, 2014-05-16 00:00:00,\n",
+       "             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=&#x27;object&#x27;, length=3180, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b23112d-3e20-4e0a-b9f8-4e53d0bfbb8a' class='xr-section-summary-in' type='checkbox'  ><label for='section-8b23112d-3e20-4e0a-b9f8-4e53d0bfbb8a' 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 &quot;history&quot; attribute:\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\n",
+       "Thu Jul  6 12:51:45 2017: Appended file preindustrial_road_NH3_all.nc had following &quot;history&quot; attribute:\n",
+       "Mon Jul  3 18:26:01 2017: ncrcat preindustrial_road_NH3_1750.nc preindustrial_road_NH3_1751.nc preindustrial_road_NH3_1752.nc preindustrial_road_NH3_1753.nc preindustrial_road_NH3_1754.nc preindustrial_road_NH3_1755.nc preindustrial_road_NH3_1756.nc preindustrial_road_NH3_1757.nc preindustrial_road_NH3_1758.nc preindustrial_road_NH3_1759.nc preindustrial_road_NH3_1760.nc preindustrial_road_NH3_1761.nc preindustrial_road_NH3_1762.nc preindustrial_road_NH3_1763.nc preindustrial_road_NH3_1764.nc preindustrial_road_NH3_1765.nc preindustrial_road_NH3_1766.nc preindustrial_road_NH3_1767.nc preindustrial_road_NH3_1768.nc preindustrial_road_NH3_1769.nc preindustrial_road_NH3_1770.nc preindustrial_road_NH3_1771.nc preindustrial_road_NH3_1772.nc preindustrial_road_NH3_1773.nc preindustrial_road_NH3_1774.nc preindustrial_road_NH3_1775.nc preindustrial_road_NH3_1776.nc preindustrial_road_NH3_1777.nc preindustrial_road_NH3_1778.nc preindustrial_road_NH3_1779.nc preindustrial_road_NH3_1780.nc preindustrial_road_NH3_1781.nc preindustrial_road_NH3_1782.nc preindustrial_road_NH3_1783.nc preindustrial_road_NH3_1784.nc preindustrial_road_NH3_1785.nc preindustrial_road_NH3_1786.nc preindustrial_road_NH3_1787.nc preindustrial_road_NH3_1788.nc preindustrial_road_NH3_1789.nc preindustrial_road_NH3_1790.nc preindustrial_road_NH3_1791.nc preindustrial_road_NH3_1792.nc preindustrial_road_NH3_1793.nc preindustrial_road_NH3_1794.nc preindustrial_road_NH3_1795.nc preindustrial_road_NH3_1796.nc preindustrial_road_NH3_1797.nc preindustrial_road_NH3_1798.nc preindustrial_road_NH3_1799.nc preindustrial_road_NH3_1800.nc preindustrial_road_NH3_1801.nc preindustrial_road_NH3_1802.nc preindustrial_road_NH3_1803.nc preindustrial_road_NH3_1804.nc preindustrial_road_NH3_1805.nc preindustrial_road_NH3_1806.nc preindustrial_road_NH3_1807.nc preindustrial_road_NH3_1808.nc preindustrial_road_NH3_1809.nc preindustrial_road_NH3_1810.nc preindustrial_road_NH3_1811.nc preindustrial_road_NH3_1812.nc preindustrial_road_NH3_1813.nc preindustrial_road_NH3_1814.nc preindustrial_road_NH3_1815.nc preindustrial_road_NH3_1816.nc preindustrial_road_NH3_1817.nc preindustrial_road_NH3_1818.nc preindustrial_road_NH3_1819.nc preindustrial_road_NH3_1820.nc preindustrial_road_NH3_1821.nc preindustrial_road_NH3_1822.nc preindustrial_road_NH3_1823.nc preindustrial_road_NH3_1824.nc preindustrial_road_NH3_1825.nc preindustrial_road_NH3_1826.nc preindustrial_road_NH3_1827.nc preindustrial_road_NH3_1828.nc preindustrial_road_NH3_1829.nc preindustrial_road_NH3_1830.nc preindustrial_road_NH3_1831.nc preindustrial_road_NH3_1832.nc preindustrial_road_NH3_1833.nc preindustrial_road_NH3_1834.nc preindustrial_road_NH3_1835.nc preindustrial_road_NH3_1836.nc preindustrial_road_NH3_1837.nc preindustrial_road_NH3_1838.nc preindustrial_road_NH3_1839.nc preindustrial_road_NH3_1840.nc preindustrial_road_NH3_1841.nc preindustrial_road_NH3_1842.nc preindustrial_road_NH3_1843.nc preindustrial_road_NH3_1844.nc preindustrial_road_NH3_1845.nc preindustrial_road_NH3_1846.nc preindustrial_road_NH3_1847.nc preindustrial_road_NH3_1848.nc preindustrial_road_NH3_1849.nc preindustrial_road_NH3_1850.nc preindustrial_road_NH3_1851.nc preindustrial_road_NH3_1852.nc preindustrial_road_NH3_1853.nc preindustrial_road_NH3_1854.nc preindustrial_road_NH3_1855.nc preindustrial_road_NH3_1856.nc preindustrial_road_NH3_1857.nc preindustrial_road_NH3_1858.nc preindustrial_road_NH3_1859.nc preindustrial_road_NH3_1860.nc preindustrial_road_NH3_1861.nc preindustrial_road_NH3_1862.nc preindustrial_road_NH3_1863.nc preindustrial_road_NH3_1864.nc preindustrial_road_NH3_1865.nc preindustrial_road_NH3_1866.nc preindustrial_road_NH3_1867.nc preindustrial_road_NH3_1868.nc preindustrial_road_NH3_1869.nc preindustrial_road_NH3_1870.nc preindustrial_road_NH3_1871.nc preindustrial_road_NH3_1872.nc preindustrial_road_NH3_1873.nc preindustrial_road_NH3_1874.nc preindustrial_road_NH3_1875.nc preindustrial_road_NH3_1876.nc preindustrial_road_NH3_1877.nc preindustrial_road_NH3_1878.nc preindustrial_road_NH3_1879.nc preindustrial_road_NH3_1880.nc preindustrial_road_NH3_1881.nc preindustrial_road_NH3_1882.nc preindustrial_road_NH3_1883.nc preindustrial_road_NH3_1884.nc preindustrial_road_NH3_1885.nc preindustrial_road_NH3_1886.nc preindustrial_road_NH3_1887.nc preindustrial_road_NH3_1888.nc preindustrial_road_NH3_1889.nc preindustrial_road_NH3_1890.nc preindustrial_road_NH3_1891.nc preindustrial_road_NH3_1892.nc preindustrial_road_NH3_1893.nc preindustrial_road_NH3_1894.nc preindustrial_road_NH3_1895.nc preindustrial_road_NH3_1896.nc preindustrial_road_NH3_1897.nc preindustrial_road_NH3_1898.nc preindustrial_road_NH3_1899.nc preindustrial_road_NH3_1900.nc preindustrial_road_NH3_1901.nc preindustrial_road_NH3_1902.nc preindustrial_road_NH3_1903.nc preindustrial_road_NH3_1904.nc preindustrial_road_NH3_1905.nc preindustrial_road_NH3_1906.nc preindustrial_road_NH3_1907.nc preindustrial_road_NH3_1908.nc preindustrial_road_NH3_1909.nc preindustrial_road_NH3_1910.nc preindustrial_road_NH3_1911.nc preindustrial_road_NH3_1912.nc preindustrial_road_NH3_1913.nc preindustrial_road_NH3_1914.nc preindustrial_road_NH3_1915.nc preindustrial_road_NH3_1916.nc preindustrial_road_NH3_1917.nc preindustrial_road_NH3_1918.nc preindustrial_road_NH3_1919.nc preindustrial_road_NH3_1920.nc preindustrial_road_NH3_1921.nc preindustrial_road_NH3_1922.nc preindustrial_road_NH3_1923.nc preindustrial_road_NH3_1924.nc preindustrial_road_NH3_1925.nc preindustrial_road_NH3_1926.nc preindustrial_road_NH3_1927.nc preindustrial_road_NH3_1928.nc preindustrial_road_NH3_1929.nc preindustrial_road_NH3_1930.nc preindustrial_road_NH3_1931.nc preindustrial_road_NH3_1932.nc preindustrial_road_NH3_1933.nc preindustrial_road_NH3_1934.nc preindustrial_road_NH3_1935.nc preindustrial_road_NH3_1936.nc preindustrial_road_NH3_1937.nc preindustrial_road_NH3_1938.nc preindustrial_road_NH3_1939.nc preindustrial_road_NH3_1940.nc preindustrial_road_NH3_1941.nc preindustrial_road_NH3_1942.nc preindustrial_road_NH3_1943.nc preindustrial_road_NH3_1944.nc preindustrial_road_NH3_1945.nc preindustrial_road_NH3_1946.nc preindustrial_road_NH3_1947.nc preindustrial_road_NH3_1948.nc preindustrial_road_NH3_1949.nc preindustrial_road_NH3_1950.nc preindustrial_road_NH3_1951.nc preindustrial_road_NH3_1952.nc preindustrial_road_NH3_1953.nc preindustrial_road_NH3_1954.nc preindustrial_road_NH3_1955.nc preindustrial_road_NH3_1956.nc preindustrial_road_NH3_1957.nc preindustrial_road_NH3_1958.nc preindustrial_road_NH3_1959.nc preindustrial_road_NH3_1960.nc preindustrial_road_NH3_1961.nc preindustrial_road_NH3_1962.nc preindustrial_road_NH3_1963.nc preindustrial_road_NH3_1964.nc preindustrial_road_NH3_1965.nc preindustrial_road_NH3_1966.nc preindustrial_road_NH3_1967.nc preindustrial_road_NH3_1968.nc preindustrial_road_NH3_1969.nc preindustrial_road_NH3_1970.nc preindustrial_road_NH3_1971.nc preindustrial_road_NH3_1972.nc preindustrial_road_NH3_1973.nc preindustrial_road_NH3_1974.nc preindustrial_road_NH3_1975.nc preindustrial_road_NH3_1976.nc preindustrial_road_NH3_1977.nc preindustrial_road_NH3_1978.nc preindustrial_road_NH3_1979.nc preindustrial_road_NH3_1980.nc preindustrial_road_NH3_1981.nc preindustrial_road_NH3_1982.nc preindustrial_road_NH3_1983.nc preindustrial_road_NH3_1984.nc preindustrial_road_NH3_1985.nc preindustrial_road_NH3_1986.nc preindustrial_road_NH3_1987.nc preindustrial_road_NH3_1988.nc preindustrial_road_NH3_1989.nc preindustrial_road_NH3_1990.nc preindustrial_road_NH3_1991.nc preindustrial_road_NH3_1992.nc preindustrial_road_NH3_1993.nc preindustrial_road_NH3_1994.nc preindustrial_road_NH3_1995.nc preindustrial_road_NH3_1996.nc preindustrial_road_NH3_1997.nc preindustrial_road_NH3_1998.nc preindustrial_road_NH3_1999.nc preindustrial_road_NH3_2000.nc preindustrial_road_NH3_2001.nc preindustrial_road_NH3_2002.nc preindustrial_road_NH3_2003.nc preindustrial_road_NH3_2004.nc preindustrial_road_NH3_2005.nc preindustrial_road_NH3_2006.nc preindustrial_road_NH3_2007.nc preindustrial_road_NH3_2008.nc preindustrial_road_NH3_2009.nc preindustrial_road_NH3_2010.nc preindustrial_road_NH3_2011.nc preindustrial_road_NH3_2012.nc preindustrial_road_NH3_2013.nc preindustrial_road_NH3_2014.nc preindustrial_road_NH3_all.nc\n",
+       "Thu Jul  6 11:13:10 2017: Appended file preindustrial_road_NOx_all.nc had following &quot;history&quot; attribute:\n",
+       "Mon Jul  3 22:25:01 2017: ncrcat preindustrial_road_NOx_1750.nc preindustrial_road_NOx_1751.nc preindustrial_road_NOx_1752.nc preindustrial_road_NOx_1753.nc preindustrial_road_NOx_1754.nc preindustrial_road_NOx_1755.nc preindustrial_road_NOx_1756.nc preindustrial_road_NOx_1757.nc preindustrial_road_NOx_1758.nc preindustrial_road_NOx_1759.nc preindustrial_road_NOx_1760.nc preindustrial_road_NOx_1761.nc preindustrial_road_NOx_1762.nc preindustrial_road_NOx_1763.nc preindustrial_road_NOx_1764.nc preindustrial_road_NOx_1765.nc preindustrial_road_NOx_1766.nc preindustrial_road_NOx_1767.nc preindustrial_road_NOx_1768.nc preindustrial_road_NOx_1769.nc preindustrial_road_NOx_1770.nc preindustrial_road_NOx_1771.nc preindustrial_road_NOx_1772.nc preindustrial_road_NOx_1773.nc preindustrial_road_NOx_1774.nc preindustrial_road_NOx_1775.nc preindustrial_road_NOx_1776.nc preindustrial_road_NOx_1777.nc preindustrial_road_NOx_1778.nc preindustrial_road_NOx_1779.nc preindustrial_road_NOx_1780.nc preindustrial_road_NOx_1781.nc preindustrial_road_NOx_1782.nc preindustrial_road_NOx_1783.nc preindustrial_road_NOx_1784.nc preindustrial_road_NOx_1785.nc preindustrial_road_NOx_1786.nc preindustrial_road_NOx_1787.nc preindustrial_road_NOx_1788.nc preindustrial_road_NOx_1789.nc preindustrial_road_NOx_1790.nc preindustrial_road_NOx_1791.nc preindustrial_road_NOx_1792.nc preindustrial_road_NOx_1793.nc preindustrial_road_NOx_1794.nc preindustrial_road_NOx_1795.nc preindustrial_road_NOx_1796.nc preindustrial_road_NOx_1797.nc preindustrial_road_NOx_1798.nc preindustrial_road_NOx_1799.nc preindustrial_road_NOx_1800.nc preindustrial_road_NOx_1801.nc preindustrial_road_NOx_1802.nc preindustrial_road_NOx_1803.nc preindustrial_road_NOx_1804.nc preindustrial_road_NOx_1805.nc preindustrial_road_NOx_1806.nc preindustrial_road_NOx_1807.nc preindustrial_road_NOx_1808.nc preindustrial_road_NOx_1809.nc preindustrial_road_NOx_1810.nc preindustrial_road_NOx_1811.nc preindustrial_road_NOx_1812.nc preindustrial_road_NOx_1813.nc preindustrial_road_NOx_1814.nc preindustrial_road_NOx_1815.nc preindustrial_road_NOx_1816.nc preindustrial_road_NOx_1817.nc preindustrial_road_NOx_1818.nc preindustrial_road_NOx_1819.nc preindustrial_road_NOx_1820.nc preindustrial_road_NOx_1821.nc preindustrial_road_NOx_1822.nc preindustrial_road_NOx_1823.nc preindustrial_road_NOx_1824.nc preindustrial_road_NOx_1825.nc preindustrial_road_NOx_1826.nc preindustrial_road_NOx_1827.nc preindustrial_road_NOx_1828.nc preindustrial_road_NOx_1829.nc preindustrial_road_NOx_1830.nc preindustrial_road_NOx_1831.nc preindustrial_road_NOx_1832.nc preindustrial_road_NOx_1833.nc preindustrial_road_NOx_1834.nc preindustrial_road_NOx_1835.nc preindustrial_road_NOx_1836.nc preindustrial_road_NOx_1837.nc preindustrial_road_NOx_1838.nc preindustrial_road_NOx_1839.nc preindustrial_road_NOx_1840.nc preindustrial_road_NOx_1841.nc preindustrial_road_NOx_1842.nc preindustrial_road_NOx_1843.nc preindustrial_road_NOx_1844.nc preindustrial_road_NOx_1845.nc preindustrial_road_NOx_1846.nc preindustrial_road_NOx_1847.nc preindustrial_road_NOx_1848.nc preindustrial_road_NOx_1849.nc preindustrial_road_NOx_1850.nc preindustrial_road_NOx_1851.nc preindustrial_road_NOx_1852.nc preindustrial_road_NOx_1853.nc preindustrial_road_NOx_1854.nc preindustrial_road_NOx_1855.nc preindustrial_road_NOx_1856.nc preindustrial_road_NOx_1857.nc preindustrial_road_NOx_1858.nc preindustrial_road_NOx_1859.nc preindustrial_road_NOx_1860.nc preindustrial_road_NOx_1861.nc preindustrial_road_NOx_1862.nc preindustrial_road_NOx_1863.nc preindustrial_road_NOx_1864.nc preindustrial_road_NOx_1865.nc preindustrial_road_NOx_1866.nc preindustrial_road_NOx_1867.nc preindustrial_road_NOx_1868.nc preindustrial_road_NOx_1869.nc preindustrial_road_NOx_1870.nc preindustrial_road_NOx_1871.nc preindustrial_road_NOx_1872.nc preindustrial_road_NOx_1873.nc preindustrial_road_NOx_1874.nc preindustrial_road_NOx_1875.nc preindustrial_road_NOx_1876.nc preindustrial_road_NOx_1877.nc preindustrial_road_NOx_1878.nc preindustrial_road_NOx_1879.nc preindustrial_road_NOx_1880.nc preindustrial_road_NOx_1881.nc preindustrial_road_NOx_1882.nc preindustrial_road_NOx_1883.nc preindustrial_road_NOx_1884.nc preindustrial_road_NOx_1885.nc preindustrial_road_NOx_1886.nc preindustrial_road_NOx_1887.nc preindustrial_road_NOx_1888.nc preindustrial_road_NOx_1889.nc preindustrial_road_NOx_1890.nc preindustrial_road_NOx_1891.nc preindustrial_road_NOx_1892.nc preindustrial_road_NOx_1893.nc preindustrial_road_NOx_1894.nc preindustrial_road_NOx_1895.nc preindustrial_road_NOx_1896.nc preindustrial_road_NOx_1897.nc preindustrial_road_NOx_1898.nc preindustrial_road_NOx_1899.nc preindustrial_road_NOx_1900.nc preindustrial_road_NOx_1901.nc preindustrial_road_NOx_1902.nc preindustrial_road_NOx_1903.nc preindustrial_road_NOx_1904.nc preindustrial_road_NOx_1905.nc preindustrial_road_NOx_1906.nc preindustrial_road_NOx_1907.nc preindustrial_road_NOx_1908.nc preindustrial_road_NOx_1909.nc preindustrial_road_NOx_1910.nc preindustrial_road_NOx_1911.nc preindustrial_road_NOx_1912.nc preindustrial_road_NOx_1913.nc preindustrial_road_NOx_1914.nc preindustrial_road_NOx_1915.nc preindustrial_road_NOx_1916.nc preindustrial_road_NOx_1917.nc preindustrial_road_NOx_1918.nc preindustrial_road_NOx_1919.nc preindustrial_road_NOx_1920.nc preindustrial_road_NOx_1921.nc preindustrial_road_NOx_1922.nc preindustrial_road_NOx_1923.nc preindustrial_road_NOx_1924.nc preindustrial_road_NOx_1925.nc preindustrial_road_NOx_1926.nc preindustrial_road_NOx_1927.nc preindustrial_road_NOx_1928.nc preindustrial_road_NOx_1929.nc preindustrial_road_NOx_1930.nc preindustrial_road_NOx_1931.nc preindustrial_road_NOx_1932.nc preindustrial_road_NOx_1933.nc preindustrial_road_NOx_1934.nc preindustrial_road_NOx_1935.nc preindustrial_road_NOx_1936.nc preindustrial_road_NOx_1937.nc preindustrial_road_NOx_1938.nc preindustrial_road_NOx_1939.nc preindustrial_road_NOx_1940.nc preindustrial_road_NOx_1941.nc preindustrial_road_NOx_1942.nc preindustrial_road_NOx_1943.nc preindustrial_road_NOx_1944.nc preindustrial_road_NOx_1945.nc preindustrial_road_NOx_1946.nc preindustrial_road_NOx_1947.nc preindustrial_road_NOx_1948.nc preindustrial_road_NOx_1949.nc preindustrial_road_NOx_1950.nc preindustrial_road_NOx_1951.nc preindustrial_road_NOx_1952.nc preindustrial_road_NOx_1953.nc preindustrial_road_NOx_1954.nc preindustrial_road_NOx_1955.nc preindustrial_road_NOx_1956.nc preindustrial_road_NOx_1957.nc preindustrial_road_NOx_1958.nc preindustrial_road_NOx_1959.nc preindustrial_road_NOx_1960.nc preindustrial_road_NOx_1961.nc preindustrial_road_NOx_1962.nc preindustrial_road_NOx_1963.nc preindustrial_road_NOx_1964.nc preindustrial_road_NOx_1965.nc preindustrial_road_NOx_1966.nc preindustrial_road_NOx_1967.nc preindustrial_road_NOx_1968.nc preindustrial_road_NOx_1969.nc preindustrial_road_NOx_1970.nc preindustrial_road_NOx_1971.nc preindustrial_road_NOx_1972.nc preindustrial_road_NOx_1973.nc preindustrial_road_NOx_1974.nc preindustrial_road_NOx_1975.nc preindustrial_road_NOx_1976.nc preindustrial_road_NOx_1977.nc preindustrial_road_NOx_1978.nc preindustrial_road_NOx_1979.nc preindustrial_road_NOx_1980.nc preindustrial_road_NOx_1981.nc preindustrial_road_NOx_1982.nc preindustrial_road_NOx_1983.nc preindustrial_road_NOx_1984.nc preindustrial_road_NOx_1985.nc preindustrial_road_NOx_1986.nc preindustrial_road_NOx_1987.nc preindustrial_road_NOx_1988.nc preindustrial_road_NOx_1989.nc preindustrial_road_NOx_1990.nc preindustrial_road_NOx_1991.nc preindustrial_road_NOx_1992.nc preindustrial_road_NOx_1993.nc preindustrial_road_NOx_1994.nc preindustrial_road_NOx_1995.nc preindustrial_road_NOx_1996.nc preindustrial_road_NOx_1997.nc preindustrial_road_NOx_1998.nc preindustrial_road_NOx_1999.nc preindustrial_road_NOx_2000.nc preindustrial_road_NOx_2001.nc preindustrial_road_NOx_2002.nc preindustrial_road_NOx_2003.nc preindustrial_road_NOx_2004.nc preindustrial_road_NOx_2005.nc preindustrial_road_NOx_2006.nc preindustrial_road_NOx_2007.nc preindustrial_road_NOx_2008.nc preindustrial_road_NOx_2009.nc preindustrial_road_NOx_2010.nc preindustrial_road_NOx_2011.nc preindustrial_road_NOx_2012.nc preindustrial_road_NOx_2013.nc preindustrial_road_NOx_2014.nc preindustrial_road_NOx_all.nc\n",
+       "Thu Jul  6 11:12:05 2017: Appended file preindustrial_road_CO_all.nc had following &quot;history&quot; attribute:\n",
+       "Mon Jul  3 16:28:19 2017: ncrcat preindustrial_road_CO_1750.nc preindustrial_road_CO_1751.nc preindustrial_road_CO_1752.nc preindustrial_road_CO_1753.nc preindustrial_road_CO_1754.nc preindustrial_road_CO_1755.nc preindustrial_road_CO_1756.nc preindustrial_road_CO_1757.nc preindustrial_road_CO_1758.nc preindustrial_road_CO_1759.nc preindustrial_road_CO_1760.nc preindustrial_road_CO_1761.nc preindustrial_road_CO_1762.nc preindustrial_road_CO_1763.nc preindustrial_road_CO_1764.nc preindustrial_road_CO_1765.nc preindustrial_road_CO_1766.nc preindustrial_road_CO_1767.nc preindustrial_road_CO_1768.nc preindustrial_road_CO_1769.nc preindustrial_road_CO_1770.nc preindustrial_road_CO_1771.nc preindustrial_road_CO_1772.nc preindustrial_road_CO_1773.nc preindustrial_road_CO_1774.nc preindustrial_road_CO_1775.nc preindustrial_road_CO_1776.nc preindustrial_road_CO_1777.nc preindustrial_road_CO_1778.nc preindustrial_road_CO_1779.nc preindustrial_road_CO_1780.nc preindustrial_road_CO_1781.nc preindustrial_road_CO_1782.nc preindustrial_road_CO_1783.nc preindustrial_road_CO_1784.nc preindustrial_road_CO_1785.nc preindustrial_road_CO_1786.nc preindustrial_road_CO_1787.nc preindustrial_road_CO_1788.nc preindustrial_road_CO_1789.nc preindustrial_road_CO_1790.nc preindustrial_road_CO_1791.nc preindustrial_road_CO_1792.nc preindustrial_road_CO_1793.nc preindustrial_road_CO_1794.nc preindustrial_road_CO_1795.nc preindustrial_road_CO_1796.nc preindustrial_road_CO_1797.nc preindustrial_road_CO_1798.nc preindustrial_road_CO_1799.nc preindustrial_road_CO_1800.nc preindustrial_road_CO_1801.nc preindustrial_road_CO_1802.nc preindustrial_road_CO_1803.nc preindustrial_road_CO_1804.nc preindustrial_road_CO_1805.nc preindustrial_road_CO_1806.nc preindustrial_road_CO_1807.nc preindustrial_road_CO_1808.nc preindustrial_road_CO_1809.nc preindustrial_road_CO_1810.nc preindustrial_road_CO_1811.nc preindustrial_road_CO_1812.nc preindustrial_road_CO_1813.nc preindustrial_road_CO_1814.nc preindustrial_road_CO_1815.nc preindustrial_road_CO_1816.nc preindustrial_road_CO_1817.nc preindustrial_road_CO_1818.nc preindustrial_road_CO_1819.nc preindustrial_road_CO_1820.nc preindustrial_road_CO_1821.nc preindustrial_road_CO_1822.nc preindustrial_road_CO_1823.nc preindustrial_road_CO_1824.nc preindustrial_road_CO_1825.nc preindustrial_road_CO_1826.nc preindustrial_road_CO_1827.nc preindustrial_road_CO_1828.nc preindustrial_road_CO_1829.nc preindustrial_road_CO_1830.nc preindustrial_road_CO_1831.nc preindustrial_road_CO_1832.nc preindustrial_road_CO_1833.nc preindustrial_road_CO_1834.nc preindustrial_road_CO_1835.nc preindustrial_road_CO_1836.nc preindustrial_road_CO_1837.nc preindustrial_road_CO_1838.nc preindustrial_road_CO_1839.nc preindustrial_road_CO_1840.nc preindustrial_road_CO_1841.nc preindustrial_road_CO_1842.nc preindustrial_road_CO_1843.nc preindustrial_road_CO_1844.nc preindustrial_road_CO_1845.nc preindustrial_road_CO_1846.nc 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preindustrial_road_CO_1913.nc preindustrial_road_CO_1914.nc preindustrial_road_CO_1915.nc preindustrial_road_CO_1916.nc preindustrial_road_CO_1917.nc preindustrial_road_CO_1918.nc preindustrial_road_CO_1919.nc preindustrial_road_CO_1920.nc preindustrial_road_CO_1921.nc preindustrial_road_CO_1922.nc preindustrial_road_CO_1923.nc preindustrial_road_CO_1924.nc preindustrial_road_CO_1925.nc preindustrial_road_CO_1926.nc preindustrial_road_CO_1927.nc preindustrial_road_CO_1928.nc preindustrial_road_CO_1929.nc preindustrial_road_CO_1930.nc preindustrial_road_CO_1931.nc preindustrial_road_CO_1932.nc preindustrial_road_CO_1933.nc preindustrial_road_CO_1934.nc preindustrial_road_CO_1935.nc preindustrial_road_CO_1936.nc preindustrial_road_CO_1937.nc preindustrial_road_CO_1938.nc preindustrial_road_CO_1939.nc preindustrial_road_CO_1940.nc preindustrial_road_CO_1941.nc preindustrial_road_CO_1942.nc preindustrial_road_CO_1943.nc preindustrial_road_CO_1944.nc preindustrial_road_CO_1945.nc 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preindustrial_road_CO_2012.nc preindustrial_road_CO_2013.nc preindustrial_road_CO_2014.nc preindustrial_road_CO_all.nc\n",
+       "</dd><dt><span>activity_id :</span></dt><dd>input4MIPs</dd><dt><span>comment :</span></dt><dd>This data supersedes 2016-06-18, 2016-06-18-sectorDimV2, 2016-07-26, 2016-07-26-sectorDim, and 2017-05-18 data versions. See README file at the project web site.</dd><dt><span>contact :</span></dt><dd>Steven J. Smith (ssmith@pnnl.gov)</dd><dt><span>data_structure :</span></dt><dd>grid</dd><dt><span>dataset_category :</span></dt><dd>emissions</dd><dt><span>dataset_version_number :</span></dt><dd>2017-08-30</dd><dt><span>external_variables :</span></dt><dd>gridcell_area</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>http://www.globalchange.umd.edu/ceds/</dd><dt><span>grid :</span></dt><dd>0.5x0.5 degree latitude x longitude</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>institution_id :</span></dt><dd>PNNL-JGCRI</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>product :</span></dt><dd>primary-emissions-data</dd><dt><span>realm :</span></dt><dd>atmos</dd><dt><span>references :</span></dt><dd>Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O&#x27;Rourke, P. R., and Zhang, Q.: Historical (1750-2014) anthropogenic emissions of reactive gases and aerosols from the Community Emission Data System (CEDS), Geosci. Model Dev. Discuss., doi:10.5194/gmd-2017-43, in review, 2017.</dd><dt><span>table_id :</span></dt><dd>input4MIPs</dd><dt><span>target_mip :</span></dt><dd>CMIP</dd><dt><span>variable_id :</span></dt><dd>BC_em_AIR_anthro</dd><dt><span>global_total_emission_1750 :</span></dt><dd>0 Tg/year</dd><dt><span>global_total_emission_1799 :</span></dt><dd>0 Tg/year</dd><dt><span>data_usage_tips :</span></dt><dd>Note that these are monthly average fluxes.</dd><dt><span>reporting_unit :</span></dt><dd>Mass flux of BC, reported as carbon mass</dd><dt><span>nominal_resolution :</span></dt><dd>50 km</dd><dt><span>source_id :</span></dt><dd>CEDS-2017-08-30</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14100/649247a5-afc6-4e25-b777-9d7a77a3b1ed</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.7.0 (http://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:    (lon: 720, bnds: 2, lat: 360, lev: 1, time: 3180)\n",
+       "Coordinates:\n",
+       "  * lon        (lon) float64 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
+       "  * lat        (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
+       "  * lev        (lev) float64 45.0\n",
+       "  * time       (time) object 1750-01-16 00:00:00 ... 2014-12-16 00:00:00\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lon_bnds   (lon, bnds) float64 ...\n",
+       "    lat_bnds   (lat, bnds) float64 ...\n",
+       "    time_bnds  (time, bnds) object ...\n",
+       "    CO_flux    (time, lev, lat, lon) float32 ...\n",
+       "    NH3_flux   (time, lev, lat, lon) float32 ...\n",
+       "    NOx_flux   (time, lev, lat, lon) float32 ...\n",
+       "    SO2_flux   (time, lev, lat, lon) float32 ...\n",
+       "Attributes: (12/39)\n",
+       "    CDI:                         Climate Data Interface version 1.7.0 (http:/...\n",
+       "    Conventions:                 CF-1.6\n",
+       "    history:                     Tue Aug 28 23:02:02 2018: cdo -O -Q copy /sc...\n",
+       "    source:                      CEDS-2017-08-30: Community Emissions Data Sy...\n",
+       "    institution:                 Pacific Northwest National Laboratory - Join...\n",
+       "    reference1:                  Lamarque et al.(2010), doi:10.5194/acp-10-70...\n",
+       "    ...                          ...\n",
+       "    data_usage_tips:             Note that these are monthly average fluxes.\n",
+       "    reporting_unit:              Mass flux of BC, reported as carbon mass\n",
+       "    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:/..."
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_road_misc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "4cd472c4-a52b-4d43-94d0-24b6d3e42e3d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "co_flux_road_misc = data_road_misc['CO_flux'] # kg m-2 s-1\n",
+    "nh3_flux_road_misc = data_road_misc['NH3_flux'] # kg m-2 s-1\n",
+    "nox_flux_road_misc = data_road_misc['NOx_flux'] # kg(NO2) m-2 s-1\n",
+    "so2_flux_road_misc = data_road_misc['SO2_flux'] # kg m-2 s-1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "83759f6f-2c64-4c0a-a392-aa915093f3d5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def zonal_average(emission):\n",
+    "    # Average over lev\n",
+    "    emission = emission.mean('lev')\n",
+    "    # Create a weight array for the zonal average\n",
+    "    weight_emission = np.cos(np.deg2rad(emission.lat))\n",
+    "    weight_emission = weight_emission / weight_emission.sum() \n",
+    "\n",
+    "    # Average over lon, zonal average over lan\n",
+    "    emission = emission.mean('lon')\n",
+    "    emission_weighted = []\n",
+    "    for year in range(emission.shape[0]):\n",
+    "        emission_year_weighted = np.sum(emission[year, :] * weight_emission).compute().data.item()\n",
+    "        emission_weighted.append(emission_year_weighted)\n",
+    "        \n",
+    "    return emission_weighted "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "cb911dad-93ab-4ad5-bbcf-372c1d17f7c9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def total_emissions(flux):\n",
+    "    yearly_flux = zonal_average(flux.resample(time=\"1YS\").mean(dim=\"time\"))  \n",
+    "    return np.array(yearly_flux) * area_earth * seconds_in_year * k_to_tera"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ade27428-d000-479d-b279-f48270fd50c1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "co_yearly_flux_road_misc = zonal_average(co_flux_road_misc.resample(time=\"1YS\").mean(dim=\"time\"))  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "8a608640-13a1-46cc-9844-af3862a50f23",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "co_yearly_emissions_road_misc = np.array(co_yearly_flux_road_misc) * area_earth * seconds_in_year * k_to_tera"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "d9ab5edf-e5d7-4938-9426-45db65b20112",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "nox_yearly_emissions_road_misc = total_emissions(nox_flux_road_misc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "9a68eccf-408b-442e-87c3-d3ed948a2182",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = plt.subplots(1,2)\n",
+    "fig.set_figwidth(12)\n",
+    "\n",
+    "N = 265\n",
+    "dates = pd.date_range(\"1/1/1750\", periods=265, freq='Y')\n",
+    "\n",
+    "axs[0].plot(dates, co_yearly_emissions_road_misc)\n",
+    "axs[0].set_title('CO emissions')\n",
+    "axs[0].set_xlabel('Year')\n",
+    "axs[0].set_ylabel('Tg/a')\n",
+    "\n",
+    "\n",
+    "axs[1].plot(dates, nox_yearly_emissions_road_misc)\n",
+    "axs[1].set_title('nox emissions')\n",
+    "axs[1].set_xlabel('Year')\n",
+    "axs[1].set_ylabel('Tg/a')\n",
+    "\n",
+    "fig.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "07a908a1-5a7d-4dd8-8ae5-260bfba993aa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "N = 57\n",
+    "dates = pd.date_range(\"1/1/1958\", periods=57, freq='Y')\n",
+    "\n",
+    "plt.plot(dates, test)\n",
+    "plt.title('CO emissions')\n",
+    "plt.xlabel('Year')\n",
+    "plt.ylabel('Tg/a')\n",
+    "\n",
+    "fig.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d695b8f6-f060-469e-aa91-22d6cb705524",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (based on the module python3/2023.01)",
+   "language": "python",
+   "name": "python3_2023_01"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.10"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }