Gridded fossil CO2 emissions and related O2 combustion consistent with national inventories 1959-2018
- 1. Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia
- 2. CICERO Center for International Climate Research
- 3. European Commission, Joint Research Centre (JRC)
- 4. Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace
- 5. Research Institute for Global Change, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
GCP-GridFED (version 2019.1) is a gridded fossil emissions dataset that is consistent with the national CO2 emissions reported by the Global Carbon Project (GCP). GCP-GridFEDv2019.1 provides monthly fossil CO2 emissions for the period 1959-2018 at a spatial resolution of 0.1° × 0.1°. The gridded emissions estimates are provided separately for fossil CO2 emitted by the oxidation of oil, coal and natural gas, with mixed international bunker fuels considered separately, as well as for the calcination of limestone during cement production. GCP-GridFED also includes gridded uncertainties in CO2 emission, incorporating differences in uncertainty across emissions sectors and countries, and gridded estimates of corresponding O2 uptake based on oxidative ratios for oil, coal and natural gas.
GCP-GridFED was produced by scaling monthly gridded emissions for the year 2010, from the Emissions Database for Global Atmospheric Research (EDGAR; version 4.3.2; Janssens-Maenhout et al., 2019), to the national annual emissions estimates compiled as part of the 2019 global carbon budget (GCB-NAE) for the years 1959-2018 (Friedlingstein et al., 2019).
The data description article is under review.
- Friedlingstein, P., Jones, M. W., O'Sullivan, M. et al. (2019) Global Carbon Budget 2019. Earth Syst. Sci. Data 11, 1783–1838, doi:10.5194/essd-11-1783-2019
- Janssens-Maenhout, G., Crippa, M., Guizzardi, D. et al. (2019) EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012. Earth Syst. Sci. Data 11, 959–1002, doi:10.5194/essd-11-959-2019