13 citations · 16 across the 5 of their papers we have counts for
5 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…
Image Embedding for Denoising Generative Models
Andrea Asperti, Davide Evangelista, Samuele Marro +1
Denoising Diffusion models are gaining increasing popularity in the field of generative modeling for several reasons, including the simple and stable training, the excellent genera…