3 papers
physics.ao-ph2025
Super-resolution of satellite-derived SST data via Generative Adversarial Networks
Claudia Fanelli, Tiany Li, Luca Biferale +4
In this work, we address the super-resolution problem of satellite-derived sea surface temperature (SST) using deep generative models. Although standard gap-filling techniques are…
physics.flu-dyn2025
Deterministic diffusion models for Lagrangian turbulence: robustness and encoding of extreme events
Tianyi Li, Flavio Tuteri, Michele Buzzicotti +2
Modeling Lagrangian turbulence remains a fundamental challenge due to its multiscale, intermittent, and non-Gaussian nature. Recent advances in data-driven diffusion models have en…
physics.flu-dyn2024
Generation of cosmic ray trajectories by a Diffusion Model trained on test particles in 3D magnetohydrodynamic turbulence
Johannes Martin, Jeremiah Lübke, Tianyi Li +3
Models for the transport of high energy charged particles through strong magnetic turbulence play a key role in space and astrophysical studies, such as describing the propagation…