2 papers
cs.CE2026
From Classical to Quantum-Mechanical Data Assimilation: A Comparison between DATO and QMDA
Emanuele Donno, Giovanni Conti, Paolo Oddo +3
Data assimilation provides a systematic framework for combining dynamical models with partial and noisy observations to infer the evolving state of a system. In this work, we under…
cs.LG2026
ByteStorm: a multi-step data-driven approach for Tropical Cyclones detection and tracking
Davide Donno, Donatello Elia, Gabriele Accarino +3
Accurate tropical cyclones (TCs) tracking represents a critical challenge in the context of weather and climate science. Traditional tracking schemes mainly rely on subjective thre…