PRIMAP-hist 国別歴史的排出量時系列（1750-2025）v2.8

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:国別排出量の長期時系列分析やモデリングの標準データ源として活用できる。

🏢実務担当者:Scope3や国別排出量の検証・ベンチマークに利用可能だが商用ライセンスに注意。

🏛政策担当者:各国インベントリの整合性確認や政策評価の基礎データとして参照価値が高い。

Recommended citation Gütschow, J.; Pflüger, M. (2026): The PRIMAP-hist national historical emissions time series v2.8 (1750-2025). zenodo. doi:10.5281/zenodo.22876287. Gütschow, 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 Content Use of the dataset and full description Abstract Support Sources Files included in the dataset Notes Data format description (columns) References Changelog Abstract 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 2025, and almost 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 CO2, CH4, and N2O subsector data for Energy, Industrial Processes and Product Use (IPPU), and Agriculture are available. The "country reported data priority" (CR) scenario of the PRIMAP-hist datset prioritizes data that individual countries report to the UNFCCC. For developed countries, AnnexI in terms of the UNFCCC, this is the data submitted anually in the "National Inventory Submissions". Until 2023 data was submitted in the "Common Reporting Format" (CRF). Since 2024 the new "Common Reporting Tables" (CRT) are used. For developing countries, non-AnnexI in terms of the UNFCCC our preferred data source are the Common Reporting Tables (CRT) submitted with the Biannial Transparency Reports (BTR). When countries do not provide the tables we read available data from the pdf reports and use additional submissions (Biannial Update Reports (BUR), National Communications (NC), and National Inventory Reports (NIR)) read from pdf and xlsx/csv files and for older submissions obtained from the UNFCCC DI portal (di.unfccc.int). For a list of these submissions please see below. For South Korea and Mexico the 2025 official GHG inventories have not yet been submitted to the UN but are included in PRIMAP-hist. PRIMAP-hist also includes official data for Taiwan which is not recognized as a party to the UNFCCC. As the USA have not submitted any data to the UNFCCC this year we use the data published by the Center for Global Sustainability which closely follows the methodology of the EPA inventory used in PRIMAP-hist v2.7. Gaps in the country reported data are filled using third party data such as CDIAC, EI (fossil CO2), Andrew cement emissions data (cement), FAOSTAT (agriculture), and EDGAR 2025 (all sectors for CO2, CH4, N2O, HFCs, PFCs, SF6, NF3, except energy CO2). Lower priority data are harmonized to higher priority data in the gap-filling process. For the third party priority time series gaps in the third party data are filled from country reported data sources. The third party priority scenario is no longer actively maintained and just provided for comparison purposes. Data for earlier years which are not available in the above mentioned sources are sourced from EDGAR-HYDE, CEDS, and RCP (N2O only) historical emissions. The v2.4 release of PRIMAP-hist reduced the time-lag from 2 to 1 years for the October release. Thus the present version 2.8 includes data for 2025. For energy CO2 growth rates from the Energy Institute's Statistical Review of World Energy are used to extend the country reported data to 2025. For CO2 from cement production, Andrew cement data are used for a few countries. For all other sectors and gases no emission estimates exist. Thus PRIMAP-hist relies on numerical methods and uses a linear extrapolation based on the last 5 years. COVID-19 has primarily impacted energy related emissions and in tests with CRF data no impact of COVID in the performance of linear extrapolation of emissions data in the other sectors has been detected. For the few cases where extrapolation is needed for energy CO2 we use a 15 year trend for the extrapolation. Version 2.8 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 as they are constructed from different sources using different methodologies and are not harmonized. The PRIMAP-hist v2.8 dataset is an updated version of Gütschow, J.; Pflüger, M.; Busch, D. (2025): The PRIMAP-hist national historical emissions time series v2.7 (1750-2024). zenodo. doi:10.5281/zenodo.17090760. The Changelog indicates the most important changes. You can also check the issue tracker on github.com/JGuetschow/PRIMAP-hist for additional information on issues found after the release of the dataset. Detailed per country information are available from the detailed changelog which is available on the primap.org website and on zenodo. Use of the dataset and full description 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. Gütschow, 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 Please notify us ([email protected] for non-commercial users and [email protected]) 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. 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. Since version 2.3 we use the data formats developed for the PRIMAP2 climate policy analysis suite: PRIMAP2 on GitHub . The data are 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 PRIMAP2 documentation . We have also included files with more than three significant digits. These files are 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. Support If you encounter possible errors or other things that should be noted, please check our issue tracker at github.com/JGuetschow/PRIMAP-hist and report your findings there. Please use the tag "v2.8" in any issue you create regarding this dataset. If you need support in using the dataset or have any other questions regarding the dataset, please contact [email protected]. Basic support is free for non-commercial users and most questions can be answered with a short e-mail. However, we do not have the resources to provide extensive support free of charge. For commercial users support will be included with the commercial license (see below). License Since v2.8 PRIMAP-hist is published under a non-commercial license (CC BY-NC-SA). This means that commercial users can not use it freely and have to obtain a commercial license. The commercial license is only available for the country reported priority (CR) time-series as the third party priority (TP) time-series builds heavily on EDGAR and FAOSTAT data. For commercial customers wanting to use the TP time-series we offer to develop custom code to generate the data locally. Please contact [email protected] for more information. Sources Global CO2 emissions from cement production v260526 data , paper : Andrew (2026), Andrew (2019) EI Statistical Review of World Energy 2026 website : Energy Institute (2026) CDIAC data : Erb and Marland (2026),  paper : Gilfillan and Marland (2021) CEDS : data: Hoesly et al. (2020), paper :  Hoesly et al. (2018) EDGAR 2025 : data/website : European Commision, JRC (2025), report: European Commission. Joint Research Centre. (2025) EDGAR-HYDE 1.4 data : Van Aardenne et al. (2001), Olivier and Berdowski (2001) FAOSTAT database data : Food and Agriculture Organization of the United Nations (2025) RCP historical data data , paper : Meinshausen et al. (2011) UNFCCC National Communications and National Inventory Reports for developing countries available from the UNFCCC DI portal website , data : UNFCCC (2024e), Pflüger and Gütschow (2024), github UNFCCC Biannial Update Reports, National Communications, and National Inventory  Reports for developing countries website-BURs , website-NCs , data : UNFCCC (2026e), UNFCCC (2026d).   Notes: Not all BUR and NC submissions are included as reading the data is time consuming and not all submission contain sufficient data to be used in PRIMAP-hist. Not all submissions included in PRIMAP-hist are available in the github repository as we do not (yet) have code that we can publish for all submissions. for a list of added submissions see section "Data source updates (v2.8)" in the changelog in the pdf data description. UNFCCC First Biannial Transparency Reports website , [ data ] UNFCCC (2026a) Notes: For a list of added subm...

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