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

Data sets

Datasets associated with the publication: “The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models” Andreas Beckert https://doi.org/10.5281/ZENODO.7875629

Model code and software

met.3d-1.8.0_3DFronts_v1.0 Andreas Beckert, Marc Rautenhaus, Michael Kern, and Met.3D Contributors https://doi.org/10.5281/ZENODO.7870254

Video supplement

Interactive front analysis of storm Friederike using the open-source meteorological 3-D visualization framework "Met. 3D" Andreas A. Beckert, Lea Eisenstein, Annika Oertel, Tim Hewson, George C. Craig, and Marc Rautenhaus https://doi.org/10.5446/57944

Comparison of objectively detected 3-D fronts in wet-bulb potential temperature and potential temperature of Friederike on 18 January 2018, 12:00 UTC Andreas A. Beckert, Lea Eisenstein, Annika Oertel, Tim Hewson, George C. Craig, and Marc Rautenhaus https://doi.org/10.5446/57600

Development of 3-D frontal structures, jet stream and WCB trajectories of Vladiana Andreas A. Beckert, Lea Eisenstein, Annika Oertel, Tim Hewson, George C. Craig, and Marc Rautenhaus https://doi.org/10.5446/57570

Video abstract

The three-dimensional structure of fronts in mid-latitude weather systems in numerical weather prediction models Andreas Beckert, Lea Eisenstein, Annika Oertel, Tim Hewson, George Craig, and Marc Rautenhaus https://doi.org/10.5446/62482

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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.
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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.
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