Dataset Open Access
Gütschow, Johannes;
Günther, Annika;
Pflüger, Mika
{ "inLanguage": { "alternateName": "eng", "@type": "Language", "name": "English" }, "description": "<p><strong>Recommended citation</strong></p>\n\n<pre><code>G\u00fctschow, J.; G\u00fcnther, A.; Pfl\u00fcger, M. (2021): The PRIMAP-hist national historical emissions time series v2.3.1 (1850-2019). zenodo. doi:10.5281/zenodo.5494497.\n</code></pre>\n\n<pre><code>G\u00fctschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016</code></pre>\n\n<p><strong>Content</strong></p>\n\n<ul>\n\t<li><a href=\"#use-of-the-dataset-and-full-description\">Use of the dataset and full description</a></li>\n\t<li><a href=\"#abstract\">Abstract</a></li>\n\t<li><a href=\"#support\">Support</a></li>\n\t<li><a href=\"#sources\">Sources</a></li>\n\t<li><a href=\"#files-included-in-the-dataset\">Files included in the dataset</a></li>\n\t<li><a href=\"#notes\">Notes</a></li>\n\t<li><a href=\"#data-format-description-columns\">Data format description (columns)</a></li>\n\t<li><a href=\"#references\">References</a></li>\n\t<li><a href=\"#changelog\">Changelog</a></li>\n</ul>\n\n<p><strong>Abstract</strong></p>\n\n<p>The PRIMAP-hist dataset combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas, covering the years 1750 to 2019, and all UNFCCC (United Nations Framework Convention on Climate Change) member states as well as most non-UNFCCC territories. The data resolves the main IPCC (Intergovernmental Panel on Climate Change) 2006 categories. For CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture are available. Due to data availability and methodological issues, version 2.3.1 of the PRIMAP-hist dataset does not include emissions from Land Use, Land-Use Change, and Forestry (LULUCF) in the main file. LULUCF data are included in the file with increased number of significant digits and have to be used with care.</p>\n\n<p>The PRIMAP-hist v2.3.1 dataset is an updated version of</p>\n\n<pre><code>G\u00fctschow, J.; G\u00fcnther, A.; Pfl\u00fcger, M. (2021): The PRIMAP-hist national historical emissions time series v2.3 (1750-2019). zenodo. doi:10.5281/zenodo.5175154\n</code></pre>\n\n<p>The <a href=\"#changelog\">Changelog</a> indicates the most important changes. You can also check the issue tracker on <a href=\"https://github.com/JGuetschow/PRIMAP-hist\">github.com/JGuetschow/PRIMAP-hist</a> for additional information on issues found after the release of the dataset.</p>\n\n<p><strong>Use of the dataset and full description</strong></p>\n\n<p>Before using the dataset, please read this document and the article describing the methodology, especially the section on uncertainties and the section on limitations of the method and use of the dataset.</p>\n\n<pre><code>G\u00fctschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R.; Stevens, D.; Krapp, M.; Rocha, M. (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, doi:10.5194/essd-8-571-2016</code></pre>\n\n<p>Please notify us (johannes.guetschow@pik-potsdam.de) if you use the dataset so that we can keep track of how it is used and take that into consideration when updating and improving the dataset.</p>\n\n<p>When using this dataset or one of its updates, please cite the DOI of the precise version of the dataset used and also the data description article which this dataset is supplement to (see above). Please consider also citing the relevant original sources when using the PRIMAP-hist dataset. See the full citations in the References section further below.</p>\n\n<p>Since version 2.3 we use the data formats developed for the PRIMAP2 climate policy analysis suite: <a href=\"https://github.com/pik-primap/primap2\">PRIMAP2 on GitHub</a>. The data is published both in the interchange format which consists of a csv file with the data and a yaml file with additional metadata and the native NetCDF based format. For a detailed description of the data format we refer to the <a href=\"https://primap2.readthedocs.io/en/stable/\">PRIMAP2 documentation</a>.</p>\n\n<p>We have also, for the first, time included files with more than three significant digits. This file is mainly aimed at people doing policy analysis using the country reported data scenario (HISTCR). Using the high precision data they can avoid questions on discrepancies with the reported data. The uncertainties of emissions data do not justify the additional significant digits and they might give a false sense of accuracy, so please use this version of the dataset with extra care.</p>\n\n<p><strong>Support</strong></p>\n\n<p>If you encounter possible errors or other things that should be noted, please check our issue tracker at <a href=\"https://github.com/JGuetschow/PRIMAP-hist\">github.com/JGuetschow/PRIMAP-hist</a> and report your findings there. Please use the tag “v2.3.1” in any issue you create regarding this dataset.</p>\n\n<p>If you need support in using the dataset or have any other questions regarding the dataset, please contact johannes.guetschow@pik-potsdam.de.</p>\n\n<p><strong>Sources</strong></p>\n\n<ul>\n\t<li><strong>Global CO$_2$ emissions from cement production v210723 (Andrew 2021)**</strong> <a href=\"https://doi.org/10.5281/zenodo.5126601\">data</a>, <a href=\"https://doi.org/10.5194/essd-11-1675-2019\">paper</a>: Andrew (2019a)</li>\n\t<li><strong>BP Statistical Review of World Energy</strong> <a href=\"https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html\">website</a>: British Petroleum (2021)</li>\n\t<li><strong>CDIAC</strong> <a href=\"http://doi.org/10.5281/zenodo.4281271\">data</a>: Boden et al. (2017): Gilfillan et al. (2020), <a href=\"https://essd.copernicus.org/articles/13/1667/2021/\">paper</a> Gilfillan and Marland (2021)</li>\n\t<li><strong>EDGAR versions 4.2 and 4.2 FT2010:</strong> <a href=\"https://doi.org/10.2904/EDGARv4.2\">EDGAR v4.2</a>, <a href=\"http://edgar.jrc.ec.europa.eu/overview.php?v=42FT2010\">EDGAR v4.2 FT2010</a>: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)</li>\n\t<li><strong>EDGAR version 6.0:</strong> <a href=\"https://doi.org/10.2904/JRC_DATASET_EDGAR\">data</a>, <a href=\"https://edgar.jrc.ec.europa.eu/index.php/dataset_ghg60\">website</a>, Paper in prep.: Crippa et al. (n.d.), JRC (2021)</li>\n\t<li><strong>EDGAR-HYDE 1.4</strong> <a href=\"http://themasites.pbl.nl/tridion/en/themasites/edgar/emission_data/edgar-hyde-100yr/edgar-hyde-1-4.html\">data</a>: Van Aardenne et al. (2001), Olivier and Berdowski (2001)</li>\n\t<li><strong>FAOSTAT database</strong> <a href=\"http://www.fao.org/faostat/en/#data\">data</a>: Food and Agriculture Organization of the United Nations (2021)/li></li>\n\t<li><strong>RCP historical data</strong> <a href=\"http://www.pik-potsdam.de/~mmalte/rcps/\">data</a>, <a href=\"https://doi.org/10.1007/s10584-011-0156-z\">paper</a>: Meinshausen et al. (2011)</li>\n\t<li><strong>UNFCCC National Communications and National Inventory Reports for developing countries</strong> <a href=\"http://di.unfccc.int/detailed_data_by_party\">website</a>, <a href=\"https://doi.org/10.5281/zenodo.5150383\">data</a>: UNFCCC (2021c), Gieseke and Gütschow (2021)</li>\n\t<li><strong>UNFCCC Biennial Update Reports</strong> <a href=\"https://unfccc.int/process/transparency-and-reporting/reporting-and-review-under-convention/biennial-update-reports-0\">website</a>: UNFCCC (2021b)</li>\n\t<li><strong>UNFCCC Common Reporting Format (CRF)</strong> <a href=\"https://unfccc.int/ghg-inventories-annex-i-parties/2021\">website</a>, <a href=\"https://doi.org/10.5194/essd-10-1427-2018\">paper</a>, <a href=\"https://doi.org/10.5281/zenodo.4723476\">data</a>: Gütschow et al. (2021b), UNFCCC (2021a) (processed as described in Jeffery et al. (2018a))</li>\n\t<li><strong>Official country repositories (non-UNFCCC)</strong>\n\t<ul>\n\t\t<li>Taiwan / Republic of China: <a href=\"https://unfccc.saveoursky.org.tw/nir/tw_nir_2020.php\">website</a>: Republic of China - Environmental Protection Administration (2020)</li>\n\t\t<li>South Korea: <a href=\"http://www.gir.go.kr/home/file/readDownloadFile.do?fileId=4856&fileSeq=2\">website</a>: Republic of Korea (2020)</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p><strong>Files included in the dataset</strong></p>\n\n<p>For each dataset we have three files: the <em>.nc</em> file contains the data and metadata in the native PRIMAP2 netCDF based format. The <em>.csv</em> file contains the data in a csv format following the specifications of the PRIMAP2 interchange format. The metadata for the interchange format file is included in the <em>.yaml</em> file.</p>\n\n<ul>\n\t<li><strong>Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_20_Sep_2021.X</strong>: The main dataset with numerical extrapolation of all time series to 2019 and three significant digits.</li>\n\t<li><strong>Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_20_Sep_2021.X</strong>: Variant without numerical extrapolation of missing values and not including the country groups mentioned in section [“country”] (three significant digits).</li>\n\t<li><strong>Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_rounding_20_Sep_2021.X</strong>: The main dataset with numerical extrapolation of all time series to 2019 and eleven significant digits.</li>\n\t<li><strong>Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_no_rounding_20_Sep_2021.csv</strong>: Variant without numerical extrapolation of missing values and not including the country groups mentioned in section [“country”] (eleven significant digits).</li>\n\t<li><strong>PRIMAP-hist_v2.3.1_data-description.pdf</strong>: Data description including changelog.</li>\n\t<li><strong>PRIMAP-hist_v2.3.1_updated_figures.pdf</strong>: Updated figures from the PRIMAP-hist paper published in ESSD.</li>\n</ul>\n\n<p><strong>Notes</strong></p>\n\n<ul>\n\t<li>Emissions from international aviation and shipping are not included in the dataset.</li>\n\t<li>Emissions from Land Use, Land-Use Change, and Forestry (LULUCF) are not included in the main version of this dataset. They are included in the version without rounding as users need to take extra care when using LULUCF data as changes some of the year-to-year changes in the data come from using different sources or methodology changes within a source rather than changes in actual emissions.</li>\n</ul>\n\n<p><strong>Data format description (columns)</strong></p>\n\n<p>The PRIMAP-hist data in the comma-separated values (CSV) files is formatted consistently with the PRIMAP2 interchange format.</p>\n\n<p>The data contained in each column is as follows:</p>\n\n<p><em>“source”</em></p>\n\n<p>Name of the data source. Here: <em>PRIMAP-hist_v2.3.1</em> with suffixes <em>_ne</em> for no extrapolation and <em>_nr</em> for no rounding.</p>\n\n<p><em>“scenario (PRIMAP)”</em></p>\n\n<ul>\n\t<li>HISTCR: In this scenario country-reported data (CRF, BUR, UNFCCC) is prioritized over third-party data (CDIAC, FAO, Andrew, EDGAR, BP).</li>\n\t<li>HISTTP: In this scenario third-party data (CDIAC, FAO, Andrew, EDGAR, BP) is prioritized over country-reported data (CRF, BUR, UNFCCC)</li>\n</ul>\n\n<p><em>“provenance“</em></p>\n\n<p>Provenance of the data. Here: “derived” as it is a composite source.</p>\n\n<p><em>“country”</em></p>\n\n<p>ISO 3166 three-letter country codes or custom codes for groups:</p>\n\n<pre><code>Code Region description\n---- -------\nEARTH Aggregated emissions for all countries.\nANNEXI Annex I Parties to the Convention\nNONANNEXI Non-Annex I Parties to the Convention\nAOSIS Alliance of Small Island States\nBASIC BASIC countries (Brazil, South Africa, India and China)\nEU27BX European Union post Brexit\nLDC Least Developed Countries\nUMBRELLA Umbrella Group</code></pre>\n\n<p>Table: Additional “country” codes.</p>\n\n<p><em>“category”</em></p>\n\n<p>IPCC (Intergovernmental Panel on Climate Change) 2006 categories for emissions. Some aggregate sectors have been added to the hierarchy. These begin with the prefix <em>M</em>.</p>\n\n<pre><code>-----------------------------------------------------------------------\nCategory code Description\n------------- ---------------------------------------------------------\nM.0.EL National Total excluding LULUCF\n1 Energy\n1.A Fuel Combustion Activities\n1.B Fugitive Emissions from Fuels\n1.B.1 Solid Fuels\n1.B.2 Oil and Natural Gas\n1.B.3 Other Emissions from Energy Production\n1.C Carbon Dioxide Transport and Storage\n (currently no data available)\n2 Industrial Processes and Product Use (IPPU)\n2. A Mineral Industry\n2.B Chemical Industry\n2.C Metal Industry\n2.D Non-Energy Products from Fuels and Solvent Use\n2.E Electronics Industry\n (no data available as the category is only used for\n fluorinated gases which are only resolved at the level\n of category IPC2)\n2 F Product uses as Substitutes for Ozone Depleting Substances\n (no data available as the category is only used for\n fluorinated gases which are only resolved at the level\n of category IPC2)\n2.G Other Product Manufacture and Use\n2.H Other\nM.AG Agriculture, sum of IPC3A and IPCMAGELV\n3.A Livestock\nM.AG.ELV Agriculture excluding Livestock\n4 Waste\n5 Other\n-----------------------------------------------------------------------</code></pre>\n\n<p>Table: Category descriptions using IPCC 2006 terminology.</p>\n\n<p><em>“entity”</em></p>\n\n<p>Gas categories using global warming potentials (GWP) from either Second Assessment Report (SAR) or Fourth Assessment Report (AR4).</p>\n\n<pre><code>\nCode Description\n---- -----------\nCH4 Methane\nCO2 Carbon Dioxide\nN2O Nitrous Oxide\nHFCS (SARGWP100) Hydrofluorocarbons (SAR)\nHFCS (AR4GWP100) Hydrofluorocarbons (AR4)\nPFCS SARGWP100 Perfluorocarbons (SAR)\nPFCS (AR4GWP100) Perfluorocarbons (AR4)\nSF6 Sulfur Hexafluoride\nNF3 Nitrogen Trifluoride\nFGASES SARGWP100 Fluorinated Gases (SAR): HFCs, PFCs, SF$_6$, NF$_3$\nFGASES (AR4GWP100) Fluorinated Gases (AR4): HFCs, PFCs, SF$_6$, NF$_3$\nKYOTOGHG SARGWP100 Kyoto greenhouse gases (SAR)\nKYOTOGHG (AR4GWP100) Kyoto greenhouse gases (AR4)</code></pre>\n\n<p>Table: Gas categories and underlying global warming potentials</p>\n\n<p><em>“unit”</em></p>\n\n<p>Unit is either <em>Gg <substance> / yr</em> where substance is the entity or for CO<sub>2</sub> equivalent units <em>Gg CO2 / yr</em>. The CO<sub>2</sub>-equivalent is calculated according to the global warming potential indicated by the entity (see above).</p>\n\n<p><em>Remaining columns</em></p>\n\n<p>Years from 1750-2019.</p>\n\n<p><strong>Changelog</strong></p>\n\n<p>For the changelog we refer to the pdf version of the data description available for download here</p>\n\n<p><strong>References</strong></p>\n\n<p>For the full references we refer to the references section and the pdf version of the data description available for download here.</p>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Potsdam Institute for Climate Impact Reseach (PIK)", "@id": "https://orcid.org/0000-0001-9944-3685", "@type": "Person", "name": "G\u00fctschow, Johannes" }, { "affiliation": "Potsdam Institute for Climate Impact Reseach (PIK)", "@id": "https://orcid.org/0000-0001-5470-1425", "@type": "Person", "name": "G\u00fcnther, Annika" }, { "affiliation": "Potsdam Institute for Climate Impact Reseach (PIK)", "@id": "https://orcid.org/0000-0002-7814-8916", "@type": "Person", "name": "Pfl\u00fcger, Mika" } ], "url": "https://zenodo.org/record/5494497", "citation": [ { "@id": "https://doi.org/10.5194/essd-2017-79", "@type": "ScholarlyArticle" }, { "@id": "https://doi.org/10.5194/essd-11-1675-2019", "@type": "ScholarlyArticle" }, { "@id": "https://doi.org/10.1029/2000GB001265", "@type": "ScholarlyArticle" }, { "@id": "https://doi.org/10.1007/s10584-011-0156-z", "@type": "ScholarlyArticle" }, { "@id": "https://doi.org/10.5194/essd-10-1427-2018", "@type": "ScholarlyArticle" }, { "@id": "https://doi.org/10.5194/gmd-11-369-2018", "@type": "ScholarlyArticle" } ], "datePublished": "2021-09-22", "contributor": [ { "affiliation": "NewClimate Institute", "@type": "Person", "name": "Jeffery, M. Louise" }, { "affiliation": "Independent researcher", "@type": "Person", "name": "Gieseke, Robert" } ], "version": "2.3.1", "keywords": [ "climate change", "greenhouse gas", "CO2", "N2O", "CH4", "Fluorinated gases" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_20-Sep_2021.csv", "encodingFormat": "csv", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_20-Sep_2021.nc", "encodingFormat": "nc", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_20-Sep_2021.yaml", "encodingFormat": "yaml", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_20-Sep_2021.csv", "encodingFormat": "csv", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_20-Sep_2021.nc", "encodingFormat": "nc", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_20-Sep_2021.yaml", "encodingFormat": "yaml", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_no_rounding_20-Sep_2021.csv", "encodingFormat": "csv", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_no_rounding_20-Sep_2021.nc", "encodingFormat": "nc", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_extrap_no_rounding_20-Sep_2021.yaml", "encodingFormat": "yaml", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_rounding_20-Sep_2021.csv", "encodingFormat": "csv", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_rounding_20-Sep_2021.nc", "encodingFormat": "nc", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/Guetschow-et-al-2021-PRIMAP-hist_v2.3.1_no_rounding_20-Sep_2021.yaml", "encodingFormat": "yaml", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/PRIMAP-hist_v2.3.1_data-description.pdf", "encodingFormat": "pdf", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/cba87e0d-4d62-40ac-8da4-8133deb6081c/PRIMAP-hist_v2.3.1_updated_figures.pdf", "encodingFormat": "pdf", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.5494497", "@id": "https://doi.org/10.5281/zenodo.5494497", "@type": "Dataset", "name": "The PRIMAP-hist national historical emissions time series (1750-2019) v2.3.1" }
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