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

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The three-dimensional structure of fronts in mid-latitude weather systems as represented by numerical weather prediction models
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Weather Clim. Dynam. Discuss.,,, 2022
Preprint withdrawn
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Cited articles

Aemisegger, F., Spiegel, J. K., Pfahl, S., Sodemann, H., Eugster, W., and Wernli, H.: Isotope meteorology of cold front passages: A case study combining observations and modeling, Geophys. Res. Lett., 42, 5652–5660,, 2015. 
Bader, M. J., Forbes, G. S., Grant, J. R., Lilley, R. B. E., and Waters, A. J.: Images in Weather Forecasting: A Practical Guide for Interpreting Satellite and Radar Imagery, 523 pp., ISBN-13 978-0521451116, 1996. 
Bader, R., Sprenger, M., Ban, N., Radisuhli, S., Schar, C., and Ganther, T.: Extraction and Visual Analysis of Potential Vorticity Banners around the Alps, IEEE Trans. Vis. Comput. Graph., 26, 1–1,, 2020. 
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities, Mon. Weather Rev., 139, 3887–3905,, 2011. 
Beckert, A.: Datasets associated with the publication: “The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models”, Zenodo [data set],, 2023. 
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.
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.