56 citations · 105 across the 10 of their papers we have counts for
11 papers
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}…
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…
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…
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…
In-field grape berries counting for yield estimation using dilated CNNs
L. Coviello, M. Cristoforetti, G. Jurman +1
Digital technologies ignited a revolution in the agrifood domain known as precision agriculture: a main question for enabling precision agriculture at scale is if accurate product…
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning
Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman +1
Climate change impacts could cause progressive decrease of crop quality and yield, up to harvest failures. In particular, heat waves and other climate extremes can lead to localize…