Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2759-2024
https://doi.org/10.5194/acp-24-2759-2024
Research article
 | 
01 Mar 2024
Research article |  | 01 Mar 2024

European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell

Michael Steiner, Wouter Peters, Ingrid Luijkx, Stephan Henne, Huilin Chen, Samuel Hammer, and Dominik Brunner

Viewed

Total article views: 1,877 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,473 350 54 1,877 46 44
  • HTML: 1,473
  • PDF: 350
  • XML: 54
  • Total: 1,877
  • BibTeX: 46
  • EndNote: 44
Views and downloads (calculated since 31 May 2023)
Cumulative views and downloads (calculated since 31 May 2023)

Viewed (geographical distribution)

Total article views: 1,877 (including HTML, PDF, and XML) Thereof 1,927 with geography defined and -50 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
The Paris Agreement increased interest in estimating greenhouse gas (GHG) emissions of individual countries, but top-down emission estimation is not yet considered policy-relevant. It is therefore paramount to reduce large errors and to build systems that are based on the newest atmospheric transport models. In this study, we present the first application of ICON-ART in the inverse modeling of GHG fluxes with an ensemble Kalman filter and present our results for European CH4 emissions.
Altmetrics
Final-revised paper
Preprint