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Abstract Despite progress in continental United States (CONUS) tornado forecasting, operational seasonal outlooks remain challenging due to intrinsic predictability limits. While previous studies link the El Niño–Southern Oscillation (ENSO) to spring tornado frequency, relying on single tropical indices misses crucial regional variability. Here, we present a novel hybrid dynamical-statistical framework that introduces a paradigm for long-lead predictability.
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