English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

PRIMAP-crf: UNFCCC CRF data in IPCC 2006 categories

Authors
/persons/resource/Louise.Jeffery

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

/persons/resource/Guetschow

Gütschow,  Johannes
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;

External Ressource
No external resources are shared
Fulltext (public)

8162oa.pdf
(Publisher version), 2MB

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

Jeffery, M. L., Gütschow, J., Gieseke, R., Gebel, R. (2018): PRIMAP-crf: UNFCCC CRF data in IPCC 2006 categories. - Earth System Science Data, 10, 3, 1427-1438.
https://doi.org/10.5194/essd-10-1427-2018


Cite as: https://publications.pik-potsdam.de/pubman/item/item_22577
Abstract
All Annex I Parties to the United Nations Framework Convention on Climate Change (UNFCCC) are required to report domestic emissions on an annual basis in a “Common Reporting Format” (CRF). In 2015, the CRF data reporting was updated to follow the more recent 2006 guidelines from the IPCC and the structure of the reporting tables was modified accordingly. However, the hierarchical categorisation of data in the IPCC 2006 guidelines is not readily extracted from the reporting tables. In this paper, we present the PRIMAP-crf data as a re-constructed hierarchical dataset according to the IPCC 2006 guidelines. Furthermore, the data are organised in a series of tables containing all available countries and years for each individual gas and category reported. It is therefore readily usable for climate policy assessment, such as the quantification of emissions reduction targets. In addition to single gases, the Kyoto basket of greenhouse gases (CO2, N2O, CH4, HFCs, PFCs, SF6, and NF3) is provided according to multiple global warming potentials. The dataset was produced using the PRIMAP emissions module. Key processing steps include extracting data from submitted CRF Excel spreadsheets, mapping CRF categories to IPCC 2006 categories, constructing missing categories from available data, and aggregating single gases to gas baskets. Finally, we describe key aspects of the data with relevance for climate policy: the contribution of NF3 to national totals, changes in data reported over subsequent years, and issues or difficulties encountered when processing currently available data. The processed data are available under an Open Data CC BY 4.0 license, and are available at https://doi.org/10.5880/pik.2018.001.