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Journal Article

The PRIMAP-hist national historical emissions time series

Authors
/persons/resource/Guetschow

Gütschow,  Johannes
Potsdam Institute for Climate Impact Research;

/persons/resource/Louise.Jeffery

Jeffery,  M. Louise
Potsdam Institute for Climate Impact Research;

/persons/resource/robert.gieseke

Gieseke,  Robert
Potsdam Institute for Climate Impact Research;

/persons/resource/gebel.ronja

Gebel,  Ronja
Potsdam Institute for Climate Impact Research;

/persons/resource/stevens.david

Stevens,  David
Potsdam Institute for Climate Impact Research;

Krapp,  M.
External Organizations;

Rocha,  M.
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)

7307oa.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Gütschow, J., Jeffery, M. L., Gieseke, R., Gebel, R., Stevens, D., Krapp, M., Rocha, M. (2016): The PRIMAP-hist national historical emissions time series. - Earth System Science Data, 8, 2, 571-603.
https://doi.org/10.5194/essd-8-571-2016


Cite as: https://publications.pik-potsdam.de/pubman/item/item_21104
Abstract
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. In this paper, we discuss the data sources and methods used and present the resulting dataset, including its limitations and uncertainties. The dataset is available from doi:10.5880/PIK.2016.003 and can be viewed on the website accompanying this paper (http://www.pik-potsdam.de/primap-live/primap-hist/).