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.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Margarita Choulga on behalf of the Authors (30 Jul 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Aug 2020) by David Carlson
RR by Anonymous Referee #3 (13 Sep 2020)
ED: Reconsider after major revisions (21 Sep 2020) by David Carlson
AR by Margarita Choulga on behalf of the Authors (13 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (16 Aug 2021) by David Carlson
RR by Anonymous Referee #3 (31 Aug 2021)
RR by Anonymous Referee #1 (09 Sep 2021)
ED: Publish subject to minor revisions (review by editor) (10 Sep 2021) by David Carlson
AR by Margarita Choulga on behalf of the Authors (20 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Sep 2021) by David Carlson
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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.