Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 15
Articles | Volume 16, issue 15
https://doi.org/10.5194/gmd-16-4427-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-4427-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 15
Methods for assessment of models
 | Highlight paper
 | 
02 Aug 2023
Methods for assessment of models | Highlight paper |  | 02 Aug 2023

The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models

Andreas A. Beckert, Lea Eisenstein, Annika Oertel, Tim Hewson, George C. Craig, and Marc Rautenhaus

Viewed

Total article views: 6,684 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,910 1,675 99 6,684 154 204
  • HTML: 4,910
  • PDF: 1,675
  • XML: 99
  • Total: 6,684
  • BibTeX: 154
  • EndNote: 204
Views and downloads (calculated since 02 Jan 2023)
Cumulative views and downloads (calculated since 02 Jan 2023)

Viewed (geographical distribution)

Total article views: 6,684 (including HTML, PDF, and XML) Thereof 6,545 with geography defined and 139 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Mar 2026
Download
Editorial statement
This paper investigates an impactful topic, is easily digestible to non-scientists, is well written, has nice visuals, uses novel objective identification methods and has well documented and accessible code.
Read more
Short summary
We investigate the benefit of objective 3-D front detection with modern interactive visual analysis techniques for case studies of extra-tropical cyclones and comparisons of frontal structures between different numerical weather prediction models. The 3-D frontal structures show agreement with 2-D fronts from surface analysis charts and augment them in the vertical dimension. We see great potential for more complex studies of atmospheric dynamics and for operational weather forecasting.
Read more
Share