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The GCMD vocabulary is developed and maintained by:
Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 ← back Released Dataset The PRIMAP-hist national historical emissions time series (1850-2014) Cite as: Copy citation to clipboard Gütschow, Johannes; Jeffery, Louise; Gieseke, Robert; Gebel, Ronja; Stevens, David; Krapp, Mario; Rocha, Marcia (2016): The PRIMAP-hist national historical emissions time series (1850-2014). GFZ Data Services. https://doi.org/10.5880/PIK.2016.003 Status I N R E V I E W : Gütschow, Johannes; Jeffery, Louise; Gieseke, Robert; Gebel, Ronja; Stevens, David; Krapp, Mario; Rocha, Marcia (2016): The PRIMAP-hist national historical emissions time series (1850-2014). GFZ Data Services. https://doi.org/10.5880/PIK.2016.003
Abstract Please use the updated version of this dataset which incorporates updates to input data as well as correction of errors in the original dataset. For a detailed description of the changes please consult the CHANGELOG
included in the data description document of the new version.
This dataset 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. For CO₂ from energy and industry time series for subsectors are available.
List of datasets included in this data publication:
PRIMAP-hist_v1.0_14-Apr-2016.csv: With numerical extrapolation of all time series to 2014.
PRIMAP-hist_no_extrapolation_v1.0_14-Apr-2016.csv: Without numerical extrapolation of missing values.
When using this dataset or one of its updates, please cite the precise version of the dataset used. Please consider also citing the relevant original sources.
Sources:
UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2015)
UNFCCC Biennal Update Reports: UNFCCC (2016)
UNFCCC Common Reporting Format (CRF): UNFCCC (2013), UNFCCC (2014)
BP Statistical Review of World Energy: BP (2014)
CDIAC: Boden et al. (2015) EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
FAOSTAT database: Food and Agriculture Organization of the United Nations (2015b)
Houghton land use CO2: Houghton (2008);
RCP historical data: Meinshausen et al. (2011)
EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001),
HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011)
SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999)
FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015a)
Methods Country resolved data is combined from different sources using the PRIMAP emissions module (Nabel et. al., 2011).
It is supplemented with growth rates from regionally resolved sources and numerical extrapolations. Regional deforestation emissions are downscaled to country level using estimates of the deforested area obtained from potential vegetation and calculations for the needed agricultural land.
Authors Gütschow, Johannes;Potsdam Institute for Climate Impact Research Jeffery, Louise;Potsdam Institute for Climate Impact Research Gieseke, Robert;Potsdam Institute for Climate Impact Research Gebel, Ronja;Potsdam Institute for Climate Impact Research Stevens, David;Potsdam Institute for Climate Impact Research Krapp, Mario;Climate Analytics Rocha, Marcia;Climate Analytics Contact Keywords greenhouse gas emissions, historical emissions, emissions time series, composite source, national emissions, climate change, environmental policy More Metadata datacite:
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included in the data description document of the new version.
This dataset 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. For CO₂ from energy and industry time series for subsectors are available.
List of datasets included in this data publication:
PRIMAP-hist_v1.0_14-Apr-2016.csv: With numerical extrapolation of all time series to 2014.
PRIMAP-hist_no_extrapolation_v1.0_14-Apr-2016.csv: Without numerical extrapolation of missing values.
When using this dataset or one of its updates, please cite the precise version of the dataset used. Please consider also citing the relevant original sources.
Sources:
UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2015)
UNFCCC Biennal Update Reports: UNFCCC (2016)
UNFCCC Common Reporting Format (CRF): UNFCCC (2013), UNFCCC (2014)
BP Statistical Review of World Energy: BP (2014)
CDIAC: Boden et al. (2015) EDGAR versions 4.2 and 4.2 FT2010: JRC and PBL (2011), Olivier and Janssens-Maenhout (2012)
FAOSTAT database: Food and Agriculture Organization of the United Nations (2015b)
Houghton land use CO2: Houghton (2008);
RCP historical data: Meinshausen et al. (2011)
EDGAR-HYDE 1.4: Van Aardenne et al. (2001), Olivier and Berdowski (2001),
HYDE land cover data: Klein Goldewijk et al. (2010), Klein Goldewijk et al. (2011)
SAGE Global Potential Vegetation Dataset: Ramankutty and Foley (1999)
FAO Country Boundaries: Food and Agriculture Organization of the United Nations (2015a)
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It is supplemented with growth rates from regionally resolved sources and numerical extrapolations. Regional deforestation emissions are downscaled to country level using estimates of the deforested area obtained from potential vegetation and calculations for the needed agricultural land. schema.org
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