activity
20242026
most citedCan AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulations

23 citations · 30 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy

Alessandro Camilletti, Gabriele Franch, Elena Tomasi +1

We present IRENE (Italian Radar Ensemble Nowcasting Experiment), a deep learning model for probabilistic short-range precipitation nowcasting over the Italian domain at \SI{1}{km}…

physics.ao-ph2026

IT-DPC-SRI: A Cloud-Optimized Archive of Italian Radar Precipitation (2010-2025)

Gabriele Franch, Elena Tomasi, Uladzislau Azhel +11

We present IT-DPC-SRI, the first publicly available long-term archive of Italian weather radar precipitation estimates, spanning 16 years (2010--2025). The dataset contains Surface…

cs.LG2025

AI reconstruction of European weather from the Euro-Atlantic regimes

A. Camilletti, G. Franch, E. Tomasi +1

We present a non-linear AI-model designed to reconstruct monthly mean anomalies of the European temperature and precipitation based on the Euro-Atlantic Weather regimes (WR) indice…

cs.LG2024★ 7 cited

GPTCast: a weather language model for precipitation nowcasting

Gabriele Franch, Elena Tomasi, Rishabh Wanjari +4

This work introduces GPTCast, a generative deep-learning method for ensemble nowcast of radar-based precipitation, inspired by advancements in large language models (LLMs). We empl…

cs.LG2024★ 23 cited

Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulations

Elena Tomasi, Gabriele Franch, Marco Cristoforetti

Downscaling techniques are one of the most prominent applications of Deep Learning (DL) in Earth System Modeling. A robust DL downscaling model can generate high-resolution fields…