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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Published in | Weather and climate dynamics Vol. 3; no. 1; pp. 113 - 137 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Copernicus Publications
01.02.2022
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Online Access | Get full text |
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