Released
Dataset

The PRIMAP-hist national historical emissions time series (1850-2015)

Cite as:

Gütschow, Johannes; Jeffery, Louise; Gieseke, Robert; Gebel, Ronja (2018): The PRIMAP-hist national historical emissions time series (1850-2015). V. 1.2. GFZ Data Services. https://doi.org/10.5880/PIK.2018.003

Status

I   N       R   E   V   I   E   W : Gütschow, Johannes; Jeffery, Louise; Gieseke, Robert; Gebel, Ronja (2018): The PRIMAP-hist national historical emissions time series (1850-2015). V. 1.2. GFZ Data Services. https://doi.org/10.5880/PIK.2018.003

There is a new version of this dataset:

  • https://dx.doi.org/10.5880/PIK.2019.001
  • Abstract

    This is an updated version of Gütschow et al. (2017, http://doi.org/10.5880/pik.2017.001). Please use this version which incorporates updates to input data as well as correction of errors in the original dataset and its first update. For a detailed description of the changes please consult the CHANGELOG included in the data description document.


    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 2015 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:
    (1) PRIMAP-hist_v1.2_14-Dec-2017.csv: With numerical extrapolation of all time series to 2014. (only in .zip folder)
    (2) PRIMAP-hist_no_extrapolation_v1.2_14-Dec-2017.csv: Without numerical extrapolation of missing values. (only in .zip folder)
    (3) PRIMAP-hist_v1.2_data-format-description: including CHANGELOG
    (4) PRIMAP-hist_v1.2_updated_figures: updated figures of those published in Gütschow et al. (2016)
    (all files are also included in the .zip folder)


    When using this dataset or one of its updates, please also cite the data description article (Gütschow et al., 2016, http://doi.org/10.5194/essd-8-571-2016) to which this data are supplement to. Please consider also citing the relevant original sources.


    SOURCES:
    - UNFCCC National Communications and National Inventory Reports for developing countries: UNFCCC (2017B)
    - UNFCCC Biennal Update Reports: UNFCCC (2016)
    - UNFCCC Common Reporting Format (CRF): UNFCCC (2016), UNFCCC (2017)
    - BP Statistical Review of World Energy: BP (2017)
    - CDIAC: Boden et al. (2017)
    - 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 (2016)
    - 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 (2015)


    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

    Contact

    Keywords

    greenhouse gas emissions, historical emissions, emissions time series, composite source, national emissions, climate change, environmental policy

    GCMD Science Keywords

    More Metadata

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            • affiliation: Potsdam Institute for Climate Impact Research
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            • affiliation: Potsdam Institute for Climate Impact Research
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            • affiliation: Potsdam Institute for Climate Impact Research
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            • affiliation: Potsdam Institute for Climate Impact Research
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        • publisher: GFZ Data Services
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          • subject: historical emissions
          • subject: emissions time series
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          • subject: national emissions
          • subject: climate change
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                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=IsDerivedFrom): IsDerivedFrom
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.1029/2000GB001265
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=IsDerivedFrom): IsDerivedFrom
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.1016/j.envsoft.2011.08.004
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=References): References
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.5880/PIK.2017.001
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=IsNewVersionOf): IsNewVersionOf
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.5194/essd-8-571-2016
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=IsDocumentedBy): IsDocumentedBy
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.5880/pik.2018.001
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=IsDerivedFrom): IsDerivedFrom
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.5194/essd-10-1427-2018
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=References): References
            • aggregationInfo
              • MD_AggregateInformation
                • aggregateDataSetIdentifier
                  • RS_Identifier
                    • code
                      • CharacterString: 10.5880/PIK.2019.001
                    • codeSpace
                      • CharacterString: DOI
                • associationType
                  • DS_AssociationTypeCode (codeList=http://datacite.org/schema/kernel-4 codeListValue=IsPreviousVersionOf): IsPreviousVersionOf
            • language
              • CharacterString: eng
            • characterSet
              • MD_CharacterSetCode (codeListValue=utf8 codeList=http://www.isotc211.org/2005/resources/codeList.xml#MD_CharacterSetCode): 
            • topicCategory
              • MD_TopicCategoryCode: geoscientificInformation
            • extent
              • EX_Extent
                • geographicElement
                  • EX_GeographicBoundingBox
                    • westBoundLongitude
                      • Decimal: -180
                    • eastBoundLongitude
                      • Decimal: 180
                    • southBoundLatitude
                      • Decimal: -90
                    • northBoundLatitude
                      • Decimal: 90
        • distributionInfo
          • MD_Distribution
            • transferOptions
              • MD_DigitalTransferOptions
                • onLine
                  • CI_OnlineResource
                    • linkage
                      • URL: http://doi.org/10.5880/PIK.2018.003
                    • protocol
                      • CharacterString: WWW:LINK-1.0-http--link
                    • name
                      • CharacterString: Data Access - DOI
                    • description
                      • CharacterString: Data Access - DOI
                    • function
                      • CI_OnLineFunctionCode (codeList=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode codeListValue=http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode_information): information
        • dataQualityInfo
          • DQ_DataQuality
            • scope
              • DQ_Scope
                • level
                  • MD_ScopeCode (codeListValue=dataset codeList=http://www.isotc211.org/2005/resources/codeList.xml#MD_ScopeCode): 
            • lineage
              • LI_Lineage
                • statement
                  • CharacterString: 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.
    • schema.org download

    Location

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      Files

      License: CC BY 4.0

      Dataset Description

      Documented by