Author

Ana Lucic

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#machine learning Preprint Nov 2026

Detecting Weather Fronts from Satellite Observations: What Does Reanalysis Add?

Weather fronts are transition regions between air masses with contrasting thermodynamic properties and are associated with mid-latitude precipitation and severe weather. We investigate machine learning (ML) methods for detecting weather fronts and quantify the contribution of reanalysis data to performance. We compare...

Ioannis Dravilas, Miruna Stoicescu, Roope Tervo et al. · 0 citations

#machine learning Preprint Oct 2026

SATFRONT: Detecting Atmospheric Fronts with Satellite Data using Machine Learning

SATFRONT is introduced, a machine learning framework for detecting cold, warm, and occluded fronts over Europe from geostationary satellite observations, with reanalysis data as an optional additional input, providing a basis for automated frontal analyses at the high temporal frequency required for time-critical appli...

Ioannis Dravilas, Miruna Stoicescu, Roope Tervo et al. · 1 citation