Automated detection and classification of synoptic-scale fronts from atmospheric data grids

Automatic determination of fronts from atmospheric data is an important task for weather prediction as well as for research of synoptic-scale phenomena. In this paper we introduce a deep neural network to detect and classify fronts from multi-level ERA5 reanalysis data. Model training and prediction...

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Bibliographic Details
Published inWeather and climate dynamics Vol. 3; no. 1; pp. 113 - 137
Main Authors Niebler, Stefan, Miltenberger, Annette, Schmidt, Bertil, Spichtinger, Peter
Format Journal Article
LanguageEnglish
Published Copernicus Publications 01.02.2022
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