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Published October 13, 2021 | Version v4
Dataset Open

A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019

  • 1. Mercator Research Institute on Global Commons and Climate Change, Berlin, 10827, Germany
  • 2. CICERO Center for International Climate Research, Oslo, 0318 Norway
  • 3. Global Carbon Project, CSIRO Oceans and Atmosphere, Canberra, Australia
  • 4. European Commission, Joint Research Centre, Ispra, Italy
  • 5. Priestley International Centre for Climate, School of Earth and Environment, University of Leeds, Leeds; LS2 9JT, UK
  • 6. PBL Netherlands Environmental Assessment Bureau, the Hague, the Netherlands
  • 7. Ludwig-Maximilians-Universität München, Luisenstr. 37, 80333 Munich, Germany
  • 8. Institute for Climate, Energy and Disaster Solutions, Fenner School of Society & Environment, Building 141, Linnaeus Way, The Australian National University, Canberra, ACT, 2600, Australia
  • 9. School of Chemistry, University of Bristol, Bristol, BS8 1TS, UK
  • 10. Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay 91191 Gif-sur-Yvette, France
  • 11. Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740 USA
  • 12. International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA

Description

Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO2 emissions from fossil fuel combustion and industry (FFI), CH4 emissions, N2O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO2 emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.

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