Thermal Memory in the Atmosphere: A Soft Magnetism Interpretation of Earth's Heat Layers

Description:This research introduces a novel thermodynamic model of Earth's upper atmosphere, rooted in an interdisciplinary fusion of classical atmospheric physics, information theory, and magnetic field interaction. The work proposes the existence of thermal memory — a behavior whereby heat in the thermosphere is not merely dissipated but retained, aligned, and re-released in response to geomagnetic field structure. The theoretical foundation integrates three core models: Cold Vacuum Model (CVM): Interprets mass-energy systems as regulators of surrounding vacuum temperature through entropy emission. Fundamental Conservation of Information (FCI): Reformulates the second law of thermodynamics through the lens of information preservation and entropy structuring. Soft Magnetism Framework (SMF): Applies principles of soft magnetic hysteresis to field-aligned entropy flow in ionized atmospheric layers. Using these combined frameworks, the thesis introduces Magnoentropene — a hypothesized transient field-responsive thermodynamic structure responsible for retaining heat in field-aligned domains. The model explains persistent post-sunset thermospheric heating, auroral thermal asymmetries, and entropy flow anomalies using a single unifying lens. Numerical simulations demonstrate how the CVM/FCI framework reproduces real-world thermal lag behaviors observed by NASA's ICON and TIMED missions. Results are supported by parameter values from validated sources including IRI models, NOAA magnetic field data, and IR thermospheric radiometry. Key outcomes and capabilities: Simulated post-sunset temperature decay with entropy-aligned delay terms Field-aligned entropy dispersion modeling and hysteresis behavior Testable predictions using IR satellites, magnetometers, and machine learning-enhanced models This thesis offers a testable, interdisciplinary model with potential implications for space weather forecasting, climate modeling, planetary habitability studies, and computational thermodynamics.