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April 28, 20260 citationsOpen Access

Tropical Cyclone Structural Integrity

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DGDexter Gilbert

Key Points

  • The aim is to diagnose the internal structural integrity of tropical cyclones using the Cohesion Unified Field Theory.
  • Developed a framework based on the Cohesion UFT to assess storm organization.
  • Applied diagnostic indicators to Hurricane Katrina using National Hurricane Center best-track data.
  • Analyzed structural operators such as pressure, recursion coherence, and cascade depth.
  • Identified rapid intensification onset at 27 August 12Z with a pressure of 968 mb (Category 2).
  • Peak structural coherence identified at 28 August 06–12Z (Category 5, 930–909 mb).
  • Announced cascade collapse starting at 29 August 00Z, approximately nine hours before landfall.

Abstract

This paper presents a structural integrity diagnostic for tropical cyclones derived fromthe Cohesion Unified Field Theory of Matter and Motion. The diagnostic does notforecast landfall location, track, or timing. It answers a single question: how organisedis the storm’s internal recursion right now, and is that organisation increasing, stable,or collapsing? The Cohesion UFT framework — grounded in the single axiom thatthe observable universe is under pressure from the next higher scale — produces fivestructural operators: surplus pressure PΣ, torsion asymmetry τasym, slip accumulationS(t), recursion coherence κ(t), cascade depth D(t), and the integrated structuralcoherence index Ψ(t). Applied to Hurricane Katrina (2005) using NHC best-track data,the diagnostic correctly identifies the onset of rapid intensification at 27 August 12Z(968 mb, Category 2), peak structural coherence at 28 August 06–12Z (Category 5,930–909 mb), and the onset of cascade collapse beginning at 29 August 00Z — whilethe storm was still at Category 4 intensity. The structural collapse signal precededlandfall by approximately nine hours. These detections are consistent with or earlierthan the transitions documented in post-event analysis and not fully anticipated byreal-time 2005 operational forecasts.

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Cite This Study

Dexter Gilbert (2026) studied this question.

synapsesocial.com/papers/69f04edc727298f751e72d06https://doi.org/10.5281/zenodo.19785787
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