PIKParis Reality Check: PRIMAP-hist

The PRIMAP-hist national historical emissions time series

Dataset Description

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

Dataset Download (Version 1.1)

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R. (2017): The PRIMAP-hist national historical emissions time series (1850-2014). V. 1.1. GFZ Data Services. https://doi.org/10.5880/PIK.2017.001

About PRIMAP-hist

PRIMAP-hist combines several published datasets to create a comprehensive set of greenhouse gas emission pathways for every country and Kyoto gas covering the years 1850 to 2014 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) 1996 categories.

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Data:
Category
Other (CAT7)
Waste (CAT6)
Agriculture (CAT4)
Solvent and other process use (CAT3)
Industrial Processes (CAT2)
Total Energy (CAT1)
Land-use and land-use change (CAT5)
Shift-click a category to toggle viewing a single category.
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)
EU28 European Union
LDC Least Developed Countries
Umbrella-Group Umbrella Group

Abstract

To assess the history of greenhouse gas emissions and individual countries' contributions to emissions and climate change, detailed historical data are needed. We combine several published datasets to create a comprehensive set of emissions pathways for each country and Kyoto gas, covering the years 1850 to 2014 with yearly values, for all UNFCCC member states and most non-UNFCCC territories. The sectoral resolution is that of the main IPCC 1996 categories. Additional time series of CO2 are available for energy and industry subsectors. Country-resolved data are combined from different sources and supplemented using year-to-year growth rates from regionally resolved sources and numerical extrapolations to complete the dataset. Regional deforestation emissions are downscaled to country level using estimates of the deforested area obtained from potential vegetation and simulations of agricultural land.

See Gütschow et al. (2016) for the methodology description including limitations and uncertainties of the dataset. See also the data description at the Dataset Repository for a format description and changelog.

Notes

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 most sectors and gases. Therefore these data can not be used to make statements about short term emissions trends.

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.

Recommended citation

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. Please consider also citing relevant original sources when using the PRIMAP-hist dataset.

Description Article

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

Dataset

Gütschow, J.; Jeffery, L.; Gieseke, R.; Gebel, R. (2017): The PRIMAP-hist national historical emissions time series v1.1 (1850-2014). GFZ Data Services. https://doi.org/10.5880/PIK.2017.001

Contact

Johannes Gütschow, Potsdam Institute for Climate Impact Research, johannes.guetschow@pik-potsdam.de
https://www.pik-potsdam.de/members/johannes

We appreciate 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.

Usage of the dataset

Rogelj, J., Fricko, O., Meinshausen, M., Krey, V., Zilliacus, J. J., & Riahi, K. (2017). Understanding the origin of Paris Agreement emission uncertainties. Nature Communications
https://doi.org/10.1038/ncomms15748

Meinshausen, M., Vogel, E., Nauels, A., Lorbacher, K., Meinshausen, N., Etheridge, D. M., ... & Krummel, P. B. (2017). Historical greenhouse gas concentrations for climate modelling (CMIP6). Geoscientific Model Development
https://doi.org/10.5194/gmd-10-2057-201

Pan, X., den Elzen, M., Höhne, N., Teng, F., & Wang, L. (2017). Exploring fair and ambitious mitigation contributions under the Paris Agreement goals. Environmental Science & Policy
https://doi.org/10.1016/j.envsci.2017.04.020

WWF Deutschland, Berlin (2017) Zukunft Stromsystem Kohleausstieg 2035 - Vom Ziel her denken. ISBN 978-3-946211-07-5 http://www.wwf.de/2017/januar/der-strom-der-zukunft/

Faber, A., P. J. M. de Goede & M.P.C. Weijnen (2016) Long-term commitment for national climate policy in the Netherlands, WRR-Policy Brief no. 5, The Hague: WRR.
https://english.wrr.nl/publications/policy-briefs/2016/12/21/long-term-commitment-for-national-climate-policy-in-the-netherlands

https://www.pik-potsdam.de/paris-reality-check/