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GHG_WDI_v1.html
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GHG_WDI_v1.html
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<body>
<h1 id="ghg-emissions-sources-and-indicators">GHG emissions sources and indicators</h1>
<h2 id="indicators-included-in-wdi">Indicators included in WDI</h2>
<p>Environment: Emissions section</p>
<table>
<thead>
<tr class="header">
<th>Series code</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>EN.ATM.CO2E.EG.ZS</td>
<td>CO2 intensity (kg per kg of oil equivalent energy use)</td>
</tr>
<tr class="even">
<td>EN.ATM.CO2E.GF.KT</td>
<td>CO2 emissions from gaseous fuel consumption (kt)</td>
</tr>
<tr class="odd">
<td>EN.ATM.CO2E.GF.ZS</td>
<td>CO2 emissions from gaseous fuel consumption (% of total)</td>
</tr>
<tr class="even">
<td>EN.ATM.CO2E.KD.GD</td>
<td>CO2 emissions (kg per 2010 US$ of GDP)</td>
</tr>
<tr class="odd">
<td>EN.ATM.CO2E.KT</td>
<td>Total CO2 emissions (thousand metric tons of CO2 excluding Land-Use Change and Forestry)</td>
</tr>
<tr class="even">
<td>EN.ATM.CO2E.LF.KT</td>
<td>CO2 emissions from liquid fuel consumption (kt)</td>
</tr>
<tr class="odd">
<td>EN.ATM.CO2E.LF.ZS</td>
<td>CO2 emissions from liquid fuel consumption (% of total)</td>
</tr>
<tr class="even">
<td>EN.ATM.CO2E.PC</td>
<td>CO2 emissions (metric tons per capita)</td>
</tr>
<tr class="odd">
<td>EN.ATM.CO2E.PP.GD</td>
<td>CO2 emissions (kg per PPP $ of GDP)</td>
</tr>
<tr class="even">
<td>EN.ATM.CO2E.PP.GD.KD</td>
<td>CO2 emissions (kg per 2017 PPP $ of GDP)</td>
</tr>
<tr class="odd">
<td>EN.ATM.CO2E.SF.KT</td>
<td>CO2 emissions from solid fuel consumption (kt)</td>
</tr>
<tr class="even">
<td>EN.ATM.CO2E.SF.ZS</td>
<td>CO2 emissions from solid fuel consumption (% of total)</td>
</tr>
<tr class="odd">
<td>EN.ATM.GHGO.KT.CE</td>
<td>Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="even">
<td>EN.ATM.GHGO.ZG</td>
<td>Other greenhouse gas emissions (% change from 1990)</td>
</tr>
<tr class="odd">
<td>EN.ATM.GHGT.KT.CE</td>
<td>Total greenhouse gas emissions (thousand metric tons of CO2 equivalent excluding Land-Use Change and Forestry)</td>
</tr>
<tr class="even">
<td>EN.ATM.GHGT.ZG</td>
<td>Total greenhouse gas emissions (% change from 1990)</td>
</tr>
<tr class="odd">
<td>EN.ATM.HFCG.KT.CE</td>
<td>HFC gas emissions (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="even">
<td>EN.ATM.METH.AG.KT.CE</td>
<td>Agricultural methane emissions (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="odd">
<td>EN.ATM.METH.AG.ZS</td>
<td>Agricultural methane emissions (% of total)</td>
</tr>
<tr class="even">
<td>EN.ATM.METH.EG.KT.CE</td>
<td>Methane emissions in energy sector (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="odd">
<td>EN.ATM.METH.EG.ZS</td>
<td>Energy related methane emissions (% of total)</td>
</tr>
<tr class="even">
<td>EN.ATM.METH.KT.CE</td>
<td>Total methane emissions (thousand metric tons of CO2 equivalent excluding Land-Use Change and Forestry)</td>
</tr>
<tr class="odd">
<td>EN.ATM.METH.ZG</td>
<td>Methane emissions (% change from 1990)</td>
</tr>
<tr class="even">
<td>EN.ATM.NOXE.AG.KT.CE</td>
<td>Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="odd">
<td>EN.ATM.NOXE.AG.ZS</td>
<td>Agricultural nitrous oxide emissions (% of total)</td>
</tr>
<tr class="even">
<td>EN.ATM.NOXE.EG.KT.CE</td>
<td>Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="odd">
<td>EN.ATM.NOXE.EG.ZS</td>
<td>Nitrous oxide emissions in energy sector (% of total)</td>
</tr>
<tr class="even">
<td>EN.ATM.NOXE.KT.CE</td>
<td>Total nitrous oxide emissions (thousand metric tons of CO2 equivalent excluding Land-Use Change and Forestry)</td>
</tr>
<tr class="odd">
<td>EN.ATM.NOXE.ZG</td>
<td>Nitrous oxide emissions (% change from 1990)</td>
</tr>
<tr class="even">
<td>EN.ATM.PFCG.KT.CE</td>
<td>PFC gas emissions (thousand metric tons of CO2 equivalent)</td>
</tr>
<tr class="odd">
<td>EN.ATM.SF6G.KT.CE</td>
<td>SF6 gas emissions (thousand metric tons of CO2 equivalent)</td>
</tr>
</tbody>
</table>
<!-- | EN.ATM.PM25.MC.M3 | PM2.5 air pollution, mean annual exposure (micrograms per cubic meter) | -->
<!-- | EN.ATM.PM25.MC.T1.ZS | PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-1 value (% of total) | -->
<!-- | EN.ATM.PM25.MC.T2.ZS | PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-2 value (% of total) | -->
<!-- | EN.ATM.PM25.MC.T3.ZS | PM2.5 pollution, population exposed to levels exceeding WHO Interim Target-3 value (% of total) | -->
<!-- | EN.ATM.PM25.MC.ZS | PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total) | -->
<p>Other sections</p>
<table>
<thead>
<tr class="header">
<th>Series code</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>EN.CLC.GHGR.MT.CE</td>
<td>GHG net emissions/removals by LUCF (MtCO2e)</td>
</tr>
<tr class="even">
<td>EN.CLC.ICER</td>
<td>Issued Certified Emission Reductions (CERs) from CDM (thousands)</td>
</tr>
<tr class="odd">
<td>EN.CLC.IERU</td>
<td>Issued Emission Reduction Units (ERUs) from JI (thousands)</td>
</tr>
<tr class="even">
<td>EN.CLC.NCOM</td>
<td>Latest UNFCCC national communication</td>
</tr>
</tbody>
</table>
<p>EN.ATM.CO2E.KT - Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.</p>
<h2 id="definitions">Definitions</h2>
<h3 id="kyoto-basket-greenhouse-gases">Kyoto basket greenhouse gases</h3>
<table>
<thead>
<tr class="header">
<th>Code</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>CO2</td>
<td>Carbon Dioxide</td>
</tr>
<tr class="even">
<td>CH4</td>
<td>Methane</td>
</tr>
<tr class="odd">
<td>FGASES</td>
<td>Fluorinated Gases (Hydrofluorocarbons + Perflurocarbons)</td>
</tr>
<tr class="even">
<td>N2O</td>
<td>Nitrous Oxide</td>
</tr>
<tr class="odd">
<td>SF6</td>
<td>Sulfur Hexafluoride</td>
</tr>
</tbody>
</table>
<p>Global warming potentials : SAR / AR4 - e.g. Methane 21 vs. 25</p>
<h3 id="category-codes">Category codes</h3>
<p>Category descriptions using IPCC 1996 terminology.</p>
<table>
<thead>
<tr class="header">
<th>Code</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>0</td>
<td>National Total</td>
</tr>
<tr class="even">
<td>M.0.EL</td>
<td>National Total, excluding LULUCF</td>
</tr>
<tr class="odd">
<td>1</td>
<td>Total Energy</td>
</tr>
<tr class="even">
<td>1.A</td>
<td>Fuel Combustion Activities</td>
</tr>
<tr class="odd">
<td>1.B</td>
<td>Fugitive Emissions from Fuels</td>
</tr>
<tr class="even">
<td>2</td>
<td>Industrial Processes</td>
</tr>
<tr class="odd">
<td>3</td>
<td>Solvent and Other Product Use</td>
</tr>
<tr class="even">
<td>4</td>
<td>Agriculture</td>
</tr>
<tr class="odd">
<td>5</td>
<td>Land Use, Land Use Change, and Forestry (LULUCF)</td>
</tr>
<tr class="even">
<td>6</td>
<td>Waste</td>
</tr>
<tr class="odd">
<td>7</td>
<td>Other</td>
</tr>
</tbody>
</table>
<h2 id="data-sources">Data sources</h2>
<ul>
<li>CDIAC - Carbon Dioxide Information analysis Center
<ul>
<li>CO2 emissions from fossil-fuel burning, cement production, and gas flaring</li>
<li><em>URL</em> <a href="https://cdiac.ess-dive.lbl.gov/trends/emis/meth_reg.html">https://cdiac.ess-dive.lbl.gov/trends/emis/meth_reg.html</a></li>
<li><em>Time coverage</em>: data from 1751 until 2014</li>
<li><em>Countries</em>: ~180 (1960-1990), ~215 (1991-2014)</li>
<li><em>License</em>: <a href="https://cdiac.ess-dive.lbl.gov/permission.html">https://cdiac.ess-dive.lbl.gov/permission.html</a></li>
</ul></li>
<li>CAIT - Climate Analysis Indicators Tool (Climate Watch / World Resources Institute):
<ul>
<li>all sectors and gases</li>
<li><em>URL</em> <a href="https://www.climatewatchdata.org/ghg-emissions?end_year=2018&start_year=1990">https://www.climatewatchdata.org/ghg-emissions?end_year=2018&start_year=1990</a></li>
<li><em>Time coverage</em>: data from 1990-2018</li>
<li><em>Countries</em>: 197 countries (parties to UNFCCC)</li>
<li><em>License</em>:</li>
</ul></li>
<li>PIK PRIMAP - Potsdam Institute for Climate Impact Research
<ul>
<li>All Kyoto GHGs by country, year and category</li>
<li><em>URL</em> <a href="https://www.pik-potsdam.de/paris-reality-check/primap-hist/">https://www.pik-potsdam.de/paris-reality-check/primap-hist/</a>, <a href="https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:4736895">https://dataservices.gfz-potsdam.de/pik/showshort.php?id=escidoc:4736895</a></li>
<li><em>Time coverage</em>: data from 1850-2018 (check <a href="https://zenodo.org/record/4479172#.YV765ZpNeUk">https://zenodo.org/record/4479172#.YV765ZpNeUk</a> published in January 2021)</li>
<li><em>Countries</em>: 216 countries</li>
<li><em>License</em>: CC BY 4.0</li>
</ul></li>
<li>GCP - Global Carbon Project: <a href="https://www.icos-cp.eu/science-and-impact/global-carbon-budget/2018">https://www.icos-cp.eu/science-and-impact/global-carbon-budget/2018</a>
<ul>
<li>CO2 emissions from fossil fuel combustion, cement production, and bunkers.</li>
<li><em>URL</em> <a href="https://www.icos-cp.eu/science-and-impact/global-carbon-budget/2018">https://www.icos-cp.eu/science-and-impact/global-carbon-budget/2018</a></li>
<li><em>Time coverage</em>: data from 1960-2018</li>
<li><em>Countries</em>: 229 countries and regions</li>
<li><em>License</em>:</li>
</ul></li>
<li>IEA - International Energy Agency:
<ul>
<li><em>URL</em> <a href="https://cdiac.ess-dive.lbl.gov/trends/emis/meth_reg.html">https://cdiac.ess-dive.lbl.gov/trends/emis/meth_reg.html</a></li>
<li><em>Time coverage</em>: data from 1971-2018 (until 2019 for OECD countries)</li>
<li><em>Countries</em>: OECD countries, total 145 countries</li>
<li><em>License</em>:</li>
</ul></li>
</ul>
<h3 id="data-uncertainty">Data uncertainty</h3>
<p>According to the Working Group III Contribution to the IPCC Fifth Assessment Report, global CO2 emissions from fossil fuel combustion are known within <em>8%</em> uncertainty (90% confidence interval). CO2 emissions from FOLU (forestry and other land use) have very large uncertainties associated with them in the order of <em>± 50%</em>. Uncertainty for global emissions of CH4, N2O and the F-gases has been estimated as <em>20%</em>, <em>60%</em> and <em>20%</em> respectively. For the PIK dataset, regional deforestation emissions are downscaled to the country level using estimates of the deforested area obtained from potential vegetation and calculations for the needed agricultural land. Accordingly levels of uncertainty are quite high for earlier years of data (closer to 1850).</p>
<p>This would be an argument to exclude LULUCF.</p>
<h3 id="plotting-data">Plotting data</h3>
<p>Plotting data from different sources for CO2 emmissions <img 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Wr4zlbKtxWl0921PlBqBoAWN2J4/uGSADVInmasruF3TQKtZigToNNEk0XctK41/F27izQ8ZZsA9RIB6iT29Eh/JnzrKedwgQcB6qU2oGzWS/0Y3kHBYhHUzBNQvZkmgU5xpzJTx2AOgIo2qMfSqmCxCGrmY8fyph5QYwIlQP3UAFqNLsnxJgcFi0UgM1lBj9oN2pprM6CruoukWsJJgHqpBvThUk62K7ZivMlewWIRxqzq5IzZrRUyuKsG6TmgAH+mzkwdg8MHtEmcBz5QX40S6XvjrXK7YVEtoKvmSPj8AN2X3QueeO4/ZiuU3vv6ks9Nd81F8TVHQOXFDKj2Nxp3VQWvPQ4pKaBbFlP+KGb/96cM0GfyJXvNropvuCu6P2rL2bnbLM0JNDigrwZqAOVpswzxRfHwxe9++gIloDPpJK0HgKpB1Ff9ancigeq7SGkB3dc55+79FzcXOAGth5lOtYU1ChaLAGYt8Ir+B51iboBuqgSq6yKlreL39dDh9pT9gBNQMVDvsf9ZsFjAm7W5qwBVoGjgUwMo7yGZEmhSQMu8Kd6wlchliJEC6qtgsYA3a3Onn5Zk4lPtTlTwO0MCTQpo3QblpN5cEKAwsQA3W9sAahp70rgTFbwxgebRi9+y/sX+GCegvHf0cOk+NBYsFuBmHfBqQLs4jvCpBlRsBqrvwmvsLAQ6DvrwG8bk/cdfYgS06h3dOLdCg8UC2mytArT36QieanfjLdDUgKJVa0b9cf+NrYLFAtish14D6LopMcqnyl1Vw7P32o2UCVAvzelJUg+92q77bMnD3eb62jRNxPHPHDFTx4AANShYLGDN+ux1AbWjU+1uZZFACVA/zehRZ5++FqDr0a6R0d3YU06dnZc7dQwOH1AxElG0SbVVsFiAmg0ALFq/ssZT5U7W8Oyt4SwPAtRLg0ed9+fO40zBYgFqNiCwC+gEdyPz7LR2fu7UMZgDoIe9JmmIIJi7pU0CJUD9NJsnScMUCeVuY1yKBO5OHYNZACo78gfZi1fU4VDu5HnwO3MCJUD9NBNAVW1MKHd2CZQA9VOrF7+odIBPklR9ICB3TQ1vPo6TAPWSIoM6K1gswMyUnXQgd6KGN8yzg3U3Z0B9FSwWYGbKQSQgd5YJlAD1UyeD/iu/iDlZDgoWCygz9SgnjLtWDe9k5+lu2nQ7MZLIttHmc+3EPOZmSXKO6lbx7BnSzaHtD6obhYdxV9fwYwfCJwW0mrAsuDyXy+b4EuTWkuQc1ani705Otx4j9cFiAWKmfUwE4842gQYHdDPQd4olH3yS8t37nFSxBLlZkpylum3Q+/OFx98ZLBYAZoanmCDu6hp+LIEmBbRediwALZlkb8QS5H2uuVOo10lihyg4K1gsppuZnrKDuGtqeDc7T3c7vyq+XnYsAH34ggMqliDvPSIeUa35oPU46AG1QZ2XZzq6s0+gSQGtlx23M2i1BPl9TBnUS8FiMdnMeXmmq7sK0HE+kwLaa4PueW9JLkFG1Qb1U7BYTDZzXp7p6q6q4TMHVNmLl0uQsfTilacd2ylYLKaaua8fdnTnUMNnNw76tVyCfIVlHLTpwbsONQWLxVQz8yxkCECvqxo+d0DRqlPF34hO0qEs+RiZJg/grppLb8EnAeqnQ26DeuzA4ObOpYYnQP10wID6bBHi5k7U8DurGp4A9dMhAxrc3cohgRKgfjpcQH32sHFzJ2p4ywRKgPrpgAEN7W6zkYuRrPgkQP10sIB6bbLk4k6evb0jQIOqA+j9+YXHcfFZAmqxE8M0d/xkTocangD1U3cclD/32h7CojmLnUImuWN8Ll1qeALUT71Fcw+Xxwex7NhmK5sp7jabzXLpVMMToH7qAcpWfRwAoL77KNq621QVvH0NT4D6qQ3ow+Xp/ujqEHZYttoKzN9dxadLAiVA/dRbk7Q4znfilb3W67D336xYA7QoXr0qijKBhnVmp3kA6qlgycLTzHIvRW93DE/b1fAA7vofKGUGVMyyO2WzQPmMUNbVYOqcgfxQHYB8f57R7LsDBHTCVsk24ni2joZHAahcBS8BrabP985AluXYb51HcoKpX8WjX5M0aS9vGwk8Gz5zAXQ9UA9QseKDL0YSfPbPQK5A/vGzjM5Q6naS/P7dBIvFmASMxfCjMO64+PBnvR2TfQJND+jdY5FBv66WH/XPQK7KvV8tls9BmDcPkwdzFN2PgrnjWgk8dzWf2QA63gblK5HuHv91tX1h/wxkCSjjNk9AfVf2BYuFWRzGbsZ04dPvrxTVe8WnQwJN3wYV17uTU7HF0fAM5OwzqPsQvVCwWBglYWwT6sSn11+5qk6NrfjEByjbUuQxx69/BnL2bdBq7wYUnaQGxvqdG59ef2XJZ8HwFHy6JNCcAK2OwuqdgVx3pk5z7cV7KlgsDGrBWMgk6sinz1/JJtgVDZ9oAa3OtO6egXxVbTxC46CWsTCoBWMhqnlXPp3cid24ygq+qd53bjU8Per0UxfQrc+q4xSAtmEsdo5nxbm5qzeLW61aRx5yufBJgPqpAyhvk1R9PHsFi4VWHRgL8Ykrn5buBJziAdKATwI0uFAeQ9OF0dObld2qVj2+VJnduvFJgPoJJ6AQ3sbtVuKxu9S1PDJWmrnySYD6CWMVv44E6HKAJ6vghZkrngSopxB2kvqtTWdvkq0xu5XkshL77JU0c+eTAPUTvmEmw7nvdqoq5xG7VYdOjifvIRU7Lz4JUD+hA3TYXXf0dmsHaDUrpC3egy/cm5+7cXf2ZuoYHD6gYk189o86FcNJbt4YXDaALod0ihGmwo9PAtRPyDKoarjTyRuHywLQVZfPV0L1HTxEgHoJF6DK4XhHQHc2gMpZS0ItOneOj49aIkC9hGrrG/XjIhdvgq5RQNt8duj055MA9ROmrW80jzOdAJWXW6PdqtUA7dDJLEM+uLIxU8dgFoDmvvXN9DM3b/uArlaKUj0+u3cI+mTVxkwdAzOgU5cdq8ttPTrUzsK09Q0AoNVVArpaLoeEtvh8NeATKaDTlh2ry/E5+MGFaOub6acWywTK5n5wO/6ovV/IxCcjPFdAVwN9B7TsWFPu4YsY65Ygtr4JFouudBPqrL1VfDIsS0QLPkOpn0LlrDqmAZ78DmgB9V52rCnHh82DJ1FEw0zTAeWv1QwlOYOuS+hqlM9sAR1vg/ouO9aUY0vvwmdRPIBqpyTbepMJVGIppyhtyrd1CbnpUvXc/VXb1vIJqV7J26CF87LjmwVnWVOOK3g7FM84qHbKvDWg/LWeoST43GzqFFptujTg8/a2xSd6QN2XHWvKccUFNOtx0KmACr4kgRJStppDptAaz7qCr+26D98PAFDXZcfqcqwpIBaEhhSacVD9oiNbQPkr53Ozub0VfO74cXErvuP8sj1/qVn53n/2fgiAui47VpfbLhxPHfYRmnFQ/aI4O28ygQo+S0DlWjim6+Vq1cWzvXVI/9EmRkARC8046ERAmwqe8dkdL5Lt0evO83dhpHjyToBGVdbjoOtmubthWbEdoPy14rP3SOi6i6eRTwI0rrIeZqp3ujRum2zjra7g2UJ3+UHLbjD5UxRRTlwiQKMqZ0Cb7euM+4ZYAcpe+M41suFpeqhunphMgEZVxks+OtsqTgO0SaCbcUBHJs4ToFGVcQaF28q77iHVCdQA6Nje8wRoVOULKNhe85K1lUig9Ycau9GzEQjQqMr3lA/rzcDM3uqR9g6fmqnxrZVxnu70IkC9lO0pH/a71Zm8NQ+CRA+p/Zu+XWflpp873z/TxUwdg1kAmtMpH0CndTRVdS+B9gHtrNw0LowjQKMq11M+YE7raEjrJ1AO6KuuhlaO7nz/TCczdQxmAWhGp3wAHSfTkNZPoCWFajo7Vo7uQtgRoC3l00mCOU6mSYVsiKnDpwB0xMrRnVkEqJd6k0W87gEfC6DzjnoJtPdLDYdjOzNgBDTWsmN1ufJNb1qestx/LxaKRU5ZdpKAzjtqJdB+Bb/Tgji6cwhKQOMsO9aX23eI15Qril45phw7SVDnHbUT6IDPIYm3/bnzju7C2FkDuhzou8jLjg33sylX/6ajbhvU7wA86FgAnXfUSaCbEUC764583AWygwM0+LJj7f3+uVvFa8qVUqw2yvAoRKgDuSRrfLL8kM8d3ye0o2nuAtkBtkFDLzvWlTu5aBaGGsopE2hWz+JHJ9ZZhlCIA1cthRvy6Uen3l0oO7g2aBFs2bG5nP39hi3QLAGdHEKuagaTXF2sKuC3kyJ2QMMtO9bd76e9jKy9341iFGlwysfFNtWSD3c0Dd4EfXLzECWgQVZOwduFADTUsmN1OYZgp4rXlVNuU9JdF//o/8TKYzcBxWLtbKavnZsZTNeqDhLXjAENtexYe79et0ZTTtEEHS47vki17HjtDKih/dhMAW0m0fc1I0ARKyNAXc0qMhWEtqYoa/kkQFGoexQiq+LroxDffHJ29qQo3n529uG3mosQSCzWHoBKbwNCW1OUd8MR+koEKAZ1O0n71lGIb3/9tHjzi6fff/WkePlRobxIgcRi7WpWU1n0c2izxmNn4JMARSH9MNNrBuA3T95+/rx488vnyossCRGLtSugty1AO4TWjVJzBU+A4pB5HLTMom9+9a32Upb4QSmIv2PtWL6ksGBbJC9Xq1X1Y/UL8bZMoEVR8gnx1+WveQL6/VefFq8/5CwqL7IYQLLgY6AuZixL1nsl7zrPhWSJ1jYialEGxSAToG8/+7TsKpkzKBNALNaOZpJPeaZ7h1BZYpRPAhSFDIC++aTswxdR2qBrR0A5hq29kodnyYzzSYCikB5QwSev5nm/XXGRmh6LtaOZeIxZn+U+JFSO0BtvQoBiUAvQGznRTg7UvzxjehJjHHTtCKio4OUW3hsVoXy7OjOfBCgKNYCyKfh7NgE1/pOktaNZzScfRlIQalHBE6A41N7djr8m2KN+7QgoS6CtSXQVoQ2iVnwSoCjUA5St94sNaD3NztKMV/DXzTLNQhJaI7q0qeAJUBzqVvGFam7UqCbGop4Gagtob6e6osqhfNS+OupoNIHOCVC3ZcfKxWnqouzGYU9KaneSxOS+h8u4gK4dAS0TqJym1JhtdvXpcfKoo3E+ZwWoy7JjBuMAAXVRPpfzcdCjaNIv+Wjm0VuZyQZoC8GCv5fjTfZ8Hhqg1wN957fsuMxUX1YZtFoyrCnKV7yFPWwuOaBrN0DlCNOu1cZkZgzIKi67nUUD1PGvnG6WHlDbZcetaw2ovqh6Hjyc2oDylorH2WFTYtFeiGQFaDMPuWPGf2z4nCGg421Qy2XHRauqr6Zf6ov67pdkq0Eb9O7EeRfbCbFYOwLKG6DdBCrNNq2JdVZ8zgpQl2XHhSKDaovW09tDqQG0Gl1y36HJPxbdRcbjZpLPbiOzAbSWlfOZAjq67LhQAKoryjZlCKsa0CZVO6879o5FbxH8qFnNZ4fB2syNzxkDal523CrfSF00PJ+Dgfoi4qPO/iYN44A2fKoAddSMATUvOzaMg/aKbpU7JoIqIaCDTUTGzG5vV3KfkE6OTE1MZHfqGJgBRax0Vfxwk5tRQMUMu34dnpqYyO7UMTh8QGN3khSbMI2Y1Xx6eFOJAMUgxTCT87iBTyxUm4SNAaqo3i29KUWAYtBgoN7joA+PWCg3sTOb3a40s+RTExPZnToGswDUV+6xUG+yOAKoaqN5K28aEaAYlARQzSagI4Dq9qlLTUxkd+oYzAFQ3juqRshc5BoL3Sa1RjNWw6vH4FMTE9mdOgYzALTqHd04t0IdY6HdRNkMqHoj71FvehGgGNSaUX/cf2Mrx1hod1I2mfEuEug+nwQoCsV/kqTf6Xtg1j7kQJtAkxMT2Z06BgSoQU6xMJySYAJ0p02gyYmJ7E4dg8MHNNKjTtMpHn2z2xWTeL/SJtDkxER2p47B4QMqJlQVPlOkXWJhOspjAOhSrtRkizUJ0OoDpWYAqHzUeX8e8hga41EzPTPeL2qt1QTeyntOgLIZxmLXmONq9YfvuZexFXdNkvkopJ7ZqrsEDHqv+TkBui0rxS1bLrw9lcdsXmAE1FfWsRg5qqtrdsuXHjWLNaG38j40QG8HagC9e//FwxdfspcruVTj/RcE6FAjR8l1zFgF3/4ZfK/5OQF6/+Nn9z/902+eldf6zCwCdKCxsw67gC7F0g7JJfxhCIcGqKmKZ5nzh2VLtHypTx0kQPsaPYuzbcYTqN1KzdTERHanjsFIL357sb0o9qfb04IyqDYWo2fFts1Wy2puHQHa+0CpEUD3x7+/Ku5++PtqXdz+EbVB+xo/zLhlZniyaectnF1qd+oYjAB6/3fvvyjr9b+RB21TL34oi8O2W2Y8gfqGMKxdanfqGIwAKvZbZNOAMI+D+somFjaHwTdmLgk0OTGR3aljMAIoXkUD1CkWLgk0OTGR3aljQIAaZBELmwTamDkl0A81xC0AAAiESURBVOTERHanjgEBatD4l2rFZ212u1w68JmcmMju1DEgQA0a/VLt+KzN+NSlCSEMa5fanToGBKhBo1+qHZ+VmVsFn56YyO4AAoZJMQC1TKCVmVMPSRXCsHap3QEEDJMiAGrLpzRzTaDJiYnsDiBgmBQeUGs+pZlbD0kVwrB2qd0BBAyTIgDqFoulWw9JFcKwdqndAQQMk4IDap9AudnStYJPT0xkdwABw6TQgDrwyczEDt8TQxjWLrU7gIBhUlhATYuMVbFYLU2Lj2xDGNYutTuAgGFSSEDXa0dAvfhMTkxkdwABw6RwgLriufPLn+mJiewOIGCYFAxQZzwrPglQsxlAwDApEKDuePIzjH34TE5MZHcAAcOkMID68Knbgt49hGHtUrsDCBgmBQHUA09xCLwPn8mJiewOIGCYBAHoQOu1h5Go4MH/FhJupTnlQyHtFvTuOSasXWp3AAHDpGwAdX/EOcXbBLvU7gAChkm5AKrfgn5UqYmJ7A4gYJiUC6D+CTQ5MZHdAQQMk3IBlCVQpMREdgcQMEzKBNCyhr8lQK3MAAKGSZkAuiRAbc0AAoZJmQDKu0hIiYnsDiBgmJQHoLyGx0pMZHcAAcOkPABlNTxaYiK7AwgYJmUBKG+BoiUmsjuAgGFSJoDeEqC2ZgABw6QcAGUJ9BYwhGHtUrsDCBgmZQDoSiZQrMREdgcQMEzKAFDZAkVLTGR3AAHDpPSA1nxiJSayO4CAYVIOgPIGKGAIw9qldgcQMExKDmiTQLESE9kdQMAwKQNAqwSKlZjI7gAChkmpARXPkGBDGNYutTuAgGFSYkCXy7qCR0tMZHcAAcOk1IC2EihWYiK7AwgYJqUFtMMnVmIiuwMIGCYlBbR6xgkcwrB2qd0BBAyTEgPa5hMrMZHdAQQMk1IC2q3g0RIT2R1AwDApIaB9PrESE9kdQMAwKR2gvQYoYAjD2qV2BxAwTEoF6GrIJ1ZiIrsDCBgmJQKU76bc4xMrMZHdAQQMk9IAquQTKzGR3QEEDJOSACr4JEC9zAAChkkpANXwiZWYyO4AAoZJCQDV8YmVmMjuAAKGSfEBXer4xEpMZHcAAcOk6IBKPglQXzOAgGFSbEANfGIlJrI7gIBhUmRAVwY+sRIT2R1AwDApLqBGPrESE9kdQMAwKSqg4jROHZ9YiYnsDiBgmBQVUDOfWImJ7A4gYJgUE9CV4JMAnWQGEDBMiggoq+BNfGIlJrI7gIBhUjxAOZ+GCh4tMZHdAQQMk6IBOtJBggxhWLvU7gAChkmxALXgEysxkd0BBAyTYgFqwSdWYiK7AwgYJkUClHfgN2Y+sRIT2R1AwDApDqDjHSTIEIa1S+0OIGCYFAVQOz6xEhPZHUDAMCkKoDYNUMAQhrVL7Q4gYJgUA9DlyBMk6BCGtUvtDiBgmBQBUFs+sRIT2R1AwDApPKDWfGIlJrI7gIBhUnhArfnESkxkdwABw6TggI7NEAkQwrB2qd0BBAyTQgNqN8AEG8KwdqndAQQMk4yAvvnl86J4+9nZh99qLkL6L3VpOcAEG8KwdqndhWciK5kAfX32o+fF9189KV5+pL5I6b5UPkHEnk+sxER2FwGKnGQA9JsP/qvMoG8/f84yqfIiC6q/1NXSkU+sxER2FwWLfDRaxb/51bfF218/VV7KIj8oNbBbcjE8i7IBGupPJ81Bo4C+/pCzqLzIYoN/9TWfO+sOEmSOOWx3EaDISVMzKNPgS70W2rnxiZWYyO4iQJGTRgH1aYO28HTgEysxkd1FgCInjQL6/Vefin674iKl+VI5nwQotLvwTGSlcOOgrniiJSayu/BMZKUgT5JuK6UJ4WG7AwgYJoUENFUID9sdQMAwKfFx3AnNsLoDCBgmEaDY3AEEDJMIUGzuAAKGSQQoNncAAcMkAhSbO4CAYRIBis0dQMAwiQDF5g4gYJhEgGJzBxAwTCJAsbkDCBgmEaDY3AEEDJMIUGzuAAKGSQQoNncAAcMkAhSbO4CAYRIBis0dQMAwiQDF5g4gYJhEgGJzBxAwTIIAdKDhSvmQiuvtwN1lJwKU3GUtApTcZS0ClNxlrSCAkkhQIkBJWYsAJWUtApSUtQhQUtaCA5Rv5PTmE7ZtePH9V2cfPO3t4ASrtjd5CeetdHD2xLg9VUB33Z9mJzBA+Yb2bz97Urwsv8dvnrCNb7s72YOq7Y1tVPoypDfm4M0vnpq26Q/nrvvT/AQFqNjQXm5sy7YPLdXdRRRSHW/88vnzcN5eMzC+eWLaIjWcu+5PAdxlLtgqvkbmP1kV392HGVYtbzKDhvRWjG0yHc7d8Kd5CRZQXul+8PTNJ08YPd2d7GHV8iabZyG98R17Tdv0h3M3+Glmgu8k/eN/xEgybW+/eFq8/tHzkN7efvZpod6tP7i7/k9zEzCgBW95vv2nuikaqt3U8iaTS0BvrEYo1Lv1B3fX+2l2Aq7iWXPwI9aoZ//kuzvZw6rlTWbQcN4EIsZt+sO56/40PwFn0Ndn1Rhh2JHJjrfyEnTU9eUZ05NY46Bddz3nsxM9SSJlLQKUlLUIUFLWIkBJWYsAJWUtApSUtWYE6MPlO8/Ky93Jceq/hGSvGQFaonlavt48epH6DyHZa06AFtsyhd6dXKT+M0gOmhWg9+fHxQ2r4B8uFwtW39+dLBaL0+Luvd/yH0n5aVaAFvujLx9fMT5LSrePXtyfX/C0Ss3SfDUvQMvMyZqhe5YuSzr/wlqjd4+vqNrPV/MCVKBZbBdcJav78nJ0dcfSKilLzRNQ2ZG/Pz+64hmUAM1WswR0fySA3DNQ95RBc9YsAX24LMkswWSg3p0QoDlrloDyYSaWRW/Ky+/OLwjQfDUzQEnYRICSshYBSspaBCgpaxGgpKxFgJKyFgFKyloEKClrEaCkrEWAkrLW/wMPYTdbFH8K4QAAAABJRU5ErkJggg=="><!-- 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"><!-- 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"><!-- 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"><!-- 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"><!-- 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"><!-- --></p>
<p>How are values for the Russian Federation before 1992 computed? As share of USSR? CDIAC lists Russia only starting 1992.</p>
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"><!-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"><!-- --></p>
<h3 id="understanding-differences">Understanding differences</h3>
<ul>
<li>Different methodologies</li>
<li>Different categories</li>
<li>Different geographical boundaries</li>
<li>Underlying data in most cases the same (CDIAC before, )</li>
</ul>
<h2 id="suggestions-for-ghg-indicators">Suggestions for GHG indicators</h2>
<p>Choice of indicators depends on different factors:</p>
<ul>
<li>Data availability (country coverage/time series)</li>
<li>Methodology used</li>
<li>Reliability of data</li>
<li>Relevance to development</li>
</ul>
<p>List of indicators: * Emissions by type in CO2e (CO2, methane, nitrous oxide, fluorinated gases (SF6) + total) * Emissions by sector/categories – use IPCC 1996 categories * Change from base year 1990 (own computation) * Per capita emissions (only total?) (own computation) * Carbon intensity of economy (CO2e / GDP) (own computation)</p>
<ul>
<li>Concentration in atmosphere</li>
<li>Pathways ?</li>
</ul>
<p>Miscellaneous</p>
<ul>
<li>Add more detail to description of series (e.g., )</li>
<li>Difference CAIT and PIK: CAIT doesn’t use official inventories reported UNFCCC, PIK does for countries where available</li>
</ul>
<h2 id="questions">Questions</h2>
<ul>
<li>Factors used for computation of CO2e of other GHGs -> different factors used</li>
<li>Use extrapolated values for subset of countries for the years 2016-2018</li>
</ul>
</body></html>