Articles | Volume 13, issue 6
Geosci. Model Dev., 13, 2695–2721, 2020
https://doi.org/10.5194/gmd-13-2695-2020
Geosci. Model Dev., 13, 2695–2721, 2020
https://doi.org/10.5194/gmd-13-2695-2020

Development and technical paper 18 Jun 2020

Development and technical paper | 18 Jun 2020

Optimizing a dynamic fossil fuel CO2 emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO2, CO, NOx, and SO2

Ingrid Super et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ingrid Super on behalf of the Authors (12 Mar 2020)  Author's response
ED: Publish subject to minor revisions (review by editor) (03 Apr 2020) by Leena Järvi
AR by Ingrid Super on behalf of the Authors (09 Apr 2020)  Author's response
ED: Publish as is (27 Apr 2020) by Leena Järvi
Download
Short summary
Understanding urban CO2 fluxes is increasingly important to support emission reduction policies. In this work we extended an existing framework for emission verification to increase its suitability for urban areas and source-sector-based decision-making by using a dynamic emission model. We find that the dynamic emission model provides a better understanding of emissions at small scales and their uncertainties. By including co-emitted species, emission can be related to specific source sectors.