Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 23
Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9279-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-9279-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 23
Development and technical paper
 | 
01 Dec 2025
Development and technical paper |  | 01 Dec 2025

Predicting and correcting the influence of boundary conditions in regional inverse analyses

Hannah Nesser, Kevin W. Bowman, Matthew D. Thill, Daniel J. Varon, Cynthia A. Randles, Ashutosh Tewari, Felipe J. Cardoso-Saldaña, Emily Reidy, Joannes D. Maasakkers, and Daniel J. Jacob

Viewed

Total article views: 2,461 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,234 175 52 2,461 68 46 60
  • HTML: 2,234
  • PDF: 175
  • XML: 52
  • Total: 2,461
  • Supplement: 68
  • BibTeX: 46
  • EndNote: 60
Views and downloads (calculated since 02 Jul 2025)
Cumulative views and downloads (calculated since 02 Jul 2025)

Viewed (geographical distribution)

Total article views: 2,461 (including HTML, PDF, and XML) Thereof 2,414 with geography defined and 47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Jan 2026
Download
Short summary
Regional analyses of atmospheric trace gases can improve knowledge of fluxes at high resolution but rely on specified boundary conditions (BCs) at the domain edges. Biases in the often-uncertain BCs propagate to the inferred fluxes. We develop a framework to explain how errors in the BCs influence the optimized fluxes, derive two metrics to estimate this influence, and compare two methods to correct for the biases. We demonstrate correcting BCs directly is more effective at reducing bias.
Read more
Share