Paris Reality Check: PRIMAP-histGütschow, 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, https://doi.org/10.5194/essd-8-571-2016
Gütschow, J.; Günther, A.; Pflüger, M. (2021): The PRIMAP-hist national historical emissions time series (1750-2019). v2.3.1. zenodo. https://doi.org/10.5281/zenodo.5494497
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. Subsector data for Energy, Industrial Processes and Agriculture is available for CO2, CH4, and N2O. Due to data availability and methodological issues, the data land use, land use change, and forestry (LULUCF) contained in version 2.3.1 of the PRIMAP-hist dataset has to be used with extra care.
Issue tracker on GitHub | Data Description and Changelog (PDF) | Updated Figures (PDF)
| Category | ||||
|---|---|---|---|---|
| Other (IPC5) | ||||
| Waste (IPC4) | ||||
| Agriculture (IPCMAG, sum of IPC3A and IPCMAGELV) | ||||
| Industrial Processes and Product Use (IPC2) | ||||
| Energy (IPC1) | ||||
| Totals (Excluding Land-Use) | ||||
| Group/Abbrev. | Description |
|---|---|
| All parties | Aggregated emissions for all countries. |
| Annex-I | Annex-I Parties to the Convention |
| Non-Annex-I | Non-Annex-I Parties to the Convention |
| AOSIS | Alliance of Small Island States |
| BASIC | BASIC countries (Brazil, South Africa, India and China) |
| EU27BX | European Union post Brexit |
| LDC | Least Developed Countries |
| Umbrella-Group | Umbrella Group |
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 to which this dataset is supplement. Please consider also citing relevant original sources when using the PRIMAP-hist dataset. References to the original sources can be found in the mansucript and on the dataset download page.
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, https://doi.org/10.5194/essd-8-571-2016
Gütschow, J.; Günther, A.; Pflüger, M. (2021): The PRIMAP-hist national historical emissions time series (1750-2019). v2.3.1. zenodo. https://doi.org/10.5281/zenodo.5494497
Johannes Gütschow, Potsdam Institute for Climate Impact Research, johannes.guetschow@pik-potsdam.de
https://www.pik-potsdam.de/members/johannes
We would appreciate it if you notify us when 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.
The v2.3.1 release is a minor bugfix update of the v2.3 version. The only new data source included is updated cement process emissions data (DOI: 10.5194/essd-11-1675-2019).
The 2.3 release is an update of the v2.2 version. The methodology is mainly unchanged, but the input sources have been updated where available. For early historical data we now use CEDS for CH4 and CO2. The time-series now start in 1750 instead of 1850. Additionally some bugs have been fixed.
The 2.2 release is a minor update of the v2.1 version. The methodology is unchanged, only the input sources have been updated where available. Additionally some bugs have been fixed.
The 2.1 release is a minor update of the v2.0 version. The methodology is unchanged, only the input sources have been updated where available. Additionally some bugs have been fixed.
The v2.0 release comes with several important changes. The dataset now uses the sectors from the IPCC 2006 guidelines. It includes new and updated data sources (EDGAR v4.3.2, Andrew 2018 cement data, updated BUR, CRF and UNFCCC data, updated BP and FAO data). This release of PRIMAP-hist does not include LULUCF emissions. We also present two different time series to highlight discrepancies between data from third party assessments and data reported by countries. In the "country reported priority" time series we prioritize country reported data over third party data. This is a direct continuation of earlier versions of PRIMAP-hist. This time series has the scenario code "HISTCR". In the "third party priority" time series we prioritize data from third party assessments (e.g. by research institutes, international organization, or private companies) over the country reported data. The scenario code is "HISTTP".
See Gütschow et al. (2016) for the methodology description including limitations and uncertainties of the dataset. A new data description paper with detailed methodology description is currently under preparation. See also the data description at the Dataset Repository for a format description and changelog.
LULUCF data has high annual fluctuations which makes it difficult to combine datasets by scaling of one dataset to match the other (and use the growth rates of the scaled dataset to extend the other dataset). Thus in PRIMAP-hist v1 we used unscaled data, which introduces sudden changes in emissions timeseries that were often understood by users as changes in actual emissions instead of changes in underlying dataset. LULUCF emissions estimates vary strongly between different datasets and the methodologies used can be very different. There are also changes in methodologies within datasets, which again introduce sudden emissions changes into the timeseries. With the data currently available, we cannot produce time series that fulfill our requirements for internal consistency and easy usability by a broad audience. Describing the inconsistencies and the limitations to the use of the dataset resulting from these issues has proven not to suffice as the LULUCF data lead to misunderstandings. Thus we have decided to stop publishing LULUCF timeseries until either there are more consistent datasets or we develop an improved methodology to create a consistent and easy to use LULUCF dataset.
Emissions from international Aviation and Shipping are not included.
Gas categories are using global warming potentials from either the IPCC's (Intergovernmental Panel on Climate Change) Second Assessment Report (SAR) or Assessment Report 4 (AR4).
The last years of the time series are obtained using extrapolations for some sectors and gases for Non-Annex-I countries. Therefore these data have to be used with caution when making statements about short term emissions trends.
Please check out the dataset without extrapolation to find out which time series have been extrapolated. This dataset is available together with the extrapolated data under the DOI given below.
We provide a version of this dataset that does not use numerical extrapolation to the future that can be used for this purpose. Where regional data is used for extrapolation to the past, individual country developments are not taken into account and can not be deduced from the data. Short term trends can also be influenced by the combination of different sources, thus the consultation of original sources is advised before making statements about such trends.
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