Articles | Volume 13, issue 11
Earth Syst. Sci. Data, 13, 5311–5335, 2021
https://doi.org/10.5194/essd-13-5311-2021
Earth Syst. Sci. Data, 13, 5311–5335, 2021
https://doi.org/10.5194/essd-13-5311-2021

Data description paper 17 Nov 2021

Data description paper | 17 Nov 2021

Global anthropogenic CO2 emissions and uncertainties as a prior for Earth system modelling and data assimilation

Margarita Choulga et al.

Data sets

CHE_EDGAR-ECMWF_2015 M. Choulga, J. McNorton, and G. Janssens-Maenhout https://doi.org/10.5281/zenodo.3967439

Emissions Database for Global Atmospheric Research, version v4.3.2 part I Greenhouse gases (gridmaps) G. Janssens-Maenhout, M. Crippa, D. Guizzardi, M. Muntean, and E. Schaaf http://data.europa.eu/89h/jrc-edgar-edgar_v432_ghg_gridmaps

Model code and software

Anthropogenic CO2 emission uncertainty calculation tool CHE_UNC_APP M. Choulga, G. Janssens-Maenhout, and J. McNorton https://doi.org/10.5281/zenodo.5196190

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Short summary
People worry that growing man-made carbon dioxide (CO2) concentrations lead to climate change. Global models, use of observations, and datasets can help us better understand behaviour of CO2. Here a tool to compute uncertainty in man-made CO2 sources per country per year and month is presented. An example of all sources separated into seven groups (intensive and average energy, industry, humans, ground and air transport, others) is presented. Results will be used to predict CO2 concentrations.