Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 6
Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2695-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2695-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 6
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, Hugo A. C. Denier van der Gon, Michiel K. van der Molen, Stijn N. C. Dellaert, and Wouter Peters

Viewed

Total article views: 2,853 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,921 869 63 2,853 175 71 72
  • HTML: 1,921
  • PDF: 869
  • XML: 63
  • Total: 2,853
  • Supplement: 175
  • BibTeX: 71
  • EndNote: 72
Views and downloads (calculated since 13 Nov 2019)
Cumulative views and downloads (calculated since 13 Nov 2019)

Viewed (geographical distribution)

Total article views: 2,853 (including HTML, PDF, and XML) Thereof 2,319 with geography defined and 534 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
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.
Read more