CORTEXA
← Browse

Leonardo Trentini

2 papers indexed

arxivphysics.ao-phcs.LGphysics.geo-ph2026-07-06

Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting

Leonardo Trentini, Fanny Lehmann, Laura Crocetti, Benedikt Soja

Global Navigation Satellite Systems (GNSS), best known for positioning, also serve weather science, as atmospheric water vapour delays their signals. This delay, the Zenith Wet Delay (ZWD), is a direct, all-weather measure of column moisture. Although assimilated into numerical w…

View free PDFSource page
arxivcs.HC2026-07-06

GeoXplain: On-the-Fly Visual Explanations for Weather Foundation Models

Clemens Walter Koprolin, Leonardo Trentini, Benedikt Soja, Mennatallah El-Assady, Christina Humer

Weather and climate foundation models produce high-dimensional forecasts whose learned relationships are difficult to inspect with static plots alone. GeoXplain is an interactive Python-based visualization toolkit for exploring geospatial attribution maps across climate variables…

View free PDFSource page