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

Beckert, Andreas A.; Eisenstein, Lea ORCID iD icon 1; Oertel, Annika ORCID iD icon 1; Hewson, Tim; Craig, George C.; Rautenhaus, Marc
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Atmospheric fronts are a widely used conceptual model in meteorology, most encountered as two-dimensional (2-D) front lines on surface analysis charts. The three-dimensional (3-D) dynamical structure of fronts has been studied in the literature by means of “standard” 2-D maps and cross-sections and is commonly sketched in 3-D illustrations of idealized weather systems in atmospheric science textbooks. However, only recently has the feasibility of the objective detection and visual analysis of 3-D frontal structures and their dynamics within numerical weather prediction (NWP) data been proposed, and such approaches are not yet widely known in the atmospheric science community. In this article, we investigate the benefit of objective 3-D front detection for case studies of extra-tropical cyclones and for comparison of frontal structures between different NWP models. We build on a recent gradient-based detection approach, combined with modern 3-D interactive visual analysis techniques, and adapt it to handle data from state-of-the-art NWP models including those run at convection-permitting kilometre-scale resolution. The parameters of the detection method (including data smoothing and threshold parameters) are evaluated to yield physically meaningful structures. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000161300
Veröffentlicht am 10.08.2023
Originalveröffentlichung
DOI: 10.5194/gmd-16-4427-2023
Scopus
Zitationen: 4
Web of Science
Zitationen: 2
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1991-9603
KITopen-ID: 1000161300
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Geoscientific Model Development
Verlag Copernicus Publications
Band 16
Heft 15
Seiten 4427–4450
Projektinformation SFB/TRR 165/2 (DFG, DFG KOORD, TRR 165/2 2019)
Vorab online veröffentlicht am 02.08.2023
Nachgewiesen in Web of Science
Dimensions
Scopus
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