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The PRIMAP-hist national historical emissions time series
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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/).
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“The results are presented at the global level and for the seven large emitting economies for which national models were available, i.e., Brazil, China, the European Union, India, Japan, the Russian Federation and the United States, together representing around 65% of global 2010 greenhouse gas emissions18.”
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Metadata
- Authors
- Gütschow, J., Jeffery, M. L., Gieseke, R., Gebel, R., Stevens, D., Krapp, M., & Rocha, M.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- Climate Analytics (DE)
- Corresponding author
- Gütschow, Johannes
- Jeffery, M. Louise
- Gieseke, Robert
- Gebel, Ronja
- Stevens, David
- Krapp, Mario
- Rocha, Marcia
- Venue
- Earth System Science Data
- Publisher
- Copernicus GmbH
- Published
- 2016-11-09
- Volume
- 8
- Issue
- 2
- Pages
- 571-603
- ISSN
- 1866-3508 (ISSN-L)
- 1866-3516
- OpenAlex
- W2411841442
- Cited by
- 297
- References
- 49
- Citations by year
- 2026: 9 · 2025: 39 · 2024: 41 · 2023: 44 · 2022: 52 · 2021: 56 · 2020: 25 · 2019: 17 · 2018: 7 · 2017: 5 · 2016: 1
- FWCI
- 20.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Earth system science data (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- Funders
- Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit (11_II_093_Global_A_SIDS_and_LDCs)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Keywords
- sectoral emissions, CO2 emissions, deforestation emissions, potential natural vegetation, climate change attribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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