3 papers
physics.ao-ph2026
Using Distributional Regression Networks to Retrieve Cloud Properties from Solar Satellite Channels for Data Assimilation
Stefano Franzoni, Christopher Bülte, Leonhard Scheck +2
Satellite observations in the solar spectrum (including visible and near-infrared channels) offer high-resolution information on clouds and atmospheric properties valuable for data…
physics.ao-ph2026
Mechanistic Interpretability Tool for AI Weather Models
Kirsten I. Tempest, Matthias Beylich, George C. Craig
Artificial Intelligence (AI) weather models are improving rapidly, and their forecasts are already competitive with long-established traditional Numerical Weather Prediction (NWP).…
physics.ao-ph2024
Improving forecasts of precipitation extremes over Northern and Central Italy using machine learning
Federico Grazzini, Joshua Dorrington, Christian M. Grams +3
The accurate prediction of intense precipitation events is one of the main objectives of operational weather services. This task is even more relevant nowadays, with the rapid prog…