13 citations · 15 across the 3 of their papers we have counts for
4 papers
Evaluating Adversarial Attacks on Federated Learning for Temperature Forecasting
Karina Chichifoi, Fabio Merizzi, Michele Colajanni
Deep learning and federated learning (FL) are becoming powerful partners for next-generation weather forecasting. Deep learning enables high-resolution spatiotemporal forecasts tha…
Deep Learning for Sea Surface Temperature Reconstruction under Cloud Occlusion
Andrea Asperti, Ali Aydogdu, Angelo Greco +6
Sea Surface Temperature (SST) reconstructions from satellite images affected by cloud gaps have been extensively documented in the past three decades. Here we describe several Mach…
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models
Fabio Merizzi, Andrea Asperti, Stefano Colamonaco
The Copernicus Regional Reanalysis for Europe, CERRA, is a high-resolution regional reanalysis dataset for the European domain. In recent years it has shown significant utility acr…
Precipitation nowcasting with generative diffusion models
Andrea Asperti, Fabio Merizzi, Alberto Paparella +3
In recent years traditional numerical methods for accurate weather prediction have been increasingly challenged by deep learning methods. Numerous historical datasets used for shor…