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: 3,180 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,388 722 70 3,180 64 65
  • HTML: 2,388
  • PDF: 722
  • XML: 70
  • Total: 3,180
  • BibTeX: 64
  • EndNote: 65
Views and downloads (calculated since 02 Jan 2023)
Cumulative views and downloads (calculated since 02 Jan 2023)

Viewed (geographical distribution)

Total article views: 3,180 (including HTML, PDF, and XML) Thereof 3,074 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Executive editor
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