Christina Humer

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…Read more