Articles | Volume 16, issue 12
https://doi.org/10.5194/acp-16-7743-2016
https://doi.org/10.5194/acp-16-7743-2016
Research article
 | 
24 Jun 2016
Research article |  | 24 Jun 2016

What would dense atmospheric observation networks bring to the quantification of city CO2 emissions?

Lin Wu, Grégoire Broquet, Philippe Ciais, Valentin Bellassen, Felix Vogel, Frédéric Chevallier, Irène Xueref-Remy, and Yilong Wang

Viewed

Total article views: 4,275 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,331 1,571 373 4,275 409 91 96
  • HTML: 2,331
  • PDF: 1,571
  • XML: 373
  • Total: 4,275
  • Supplement: 409
  • BibTeX: 91
  • EndNote: 96
Views and downloads (calculated since 05 Nov 2015)
Cumulative views and downloads (calculated since 05 Nov 2015)

Cited

Saved (preprint)

Discussed (final revised paper)

Latest update: 28 Mar 2024
Download
Short summary
This paper advances atmospheric inversion of city CO2 emissions as follows: (1) illustrate how inversion methodology can be tailored to deal with very large urban networks of sensors measuring CO2 concentrations; (2) demonstrate that atmospheric inversion could be a relevant tool of Monitoring, Reporting and Verification (MRV) of city CO2 emissions; (3) clarify the theoretical potential of inversion for reducing uncertainties in the estimates of citywide total and sectoral CO2 emissions.
Altmetrics
Final-revised paper
Preprint