Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 14
Articles | Volume 18, issue 14
https://doi.org/10.5194/gmd-18-4667-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-4667-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 14
Development and technical paper
 | 
30 Jul 2025
Development and technical paper |  | 30 Jul 2025

Optimized dynamic mode decomposition for reconstruction and forecasting of atmospheric chemistry data

Meghana Velagar, Christoph Keller, and J. Nathan Kutz

Viewed

Total article views: 4,689 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,562 825 302 4,689 138 193
  • HTML: 3,562
  • PDF: 825
  • XML: 302
  • Total: 4,689
  • BibTeX: 138
  • EndNote: 193
Views and downloads (calculated since 01 Oct 2024)
Cumulative views and downloads (calculated since 01 Oct 2024)

Viewed (geographical distribution)

Total article views: 4,689 (including HTML, PDF, and XML) Thereof 4,615 with geography defined and 74 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 22 Jul 2026
Download
Short summary
We develop the data-driven method of dynamic mode decomposition for producing a robust and stable surrogate reduced-order model of atmospheric chemistry dynamics. The model is computationally efficient, provides interpretable patterns of activity, and produces uncertainty quantification metrics. It is ideal for the forecasting of atmospheric chemistry in a computationally tractable manner.
Read more
Share