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arXiv Machine Learning By John S. Schreck, William Chapman, Charlie Becker, David John Gagne II

Conditional Tropical Cyclogenesis Rates via Rare-Event Sampling in a Neural Weather Emulator

Read the original on arXiv Machine Learning →

arXiv:2606. 30920v1 Announce Type: cross Abstract: We couple Forward Flux Sampling (FFS), a non-equilibrium rare-event technique from statistical mechanics, to a neural weather emulator (SDL-WXFormer, 1{\deg} grid spacing) to estimate conditional tropical cyclogenesis rates, or how often a tropical cyclone achieves a hurricane-level central pressure, without modifying model dynamics.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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