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physics.ao-ph2026
S2S-JEPA: Predicting the Predictable at Subseasonal-to-Seasonal Timescales
Chenyu Dong, Gianmarco Mengaldo
The subseasonal-to-seasonal (S2S) timescale, roughly from two weeks to two months ahead, is a critical forecast window for sectors such as agriculture, energy, and water management…
nlin.CD2026
Hierarchy of extreme-event predictability in turbulence revealed by machine learning
Yuxuan Yang, Chenyu Dong, Gianmarco Mengaldo
Extreme-event predictability in turbulence is strongly state dependent, yet event-by-event predictability horizons are difficult to quantify without access to governing equations o…