White paper
Treating macro-climatic shifts as interference between nested waves rather than as an output of fluid simulation, and collapsing that interference to a single finite date.
Mainstream meteorology leans on fluid dynamic simulation, which is strong on the general case and weak exactly where it matters to an operator: the edge-case macro anomaly. This paper sets out a different framework, borrowed from wave mechanics rather than from fluid flow, in which a macro-climatic shift is read as a fractal expression of nested oscillations that constructively and destructively interfere.
Each contributing signal — the jet meander, the macro ocean state, the matched historical analogs, the solar and lunar variance, and the measured surface terms — is carried as its own wave with its own period and phase. The atmosphere the operator experiences is the interference pattern those waves produce, not any single one of them.
Sign-matched signals reinforce super-additively; opposed signals cancel. That is why a smoothed ensemble, which averages them, flattens the very anomaly the operator is trying to schedule against.
Analog shifts arrive on a choppy wavelength. A model that ignores the lag places the ridge early and reports a projected peak that never happens. The engine applies a measured phase lag, then classifies any maximum arriving before the reset event as a false peak and suppresses it toward the seasonal normal.
A hard localised frost is not just a cold day. It resets regional soil thermal mass, terminating the pre-reset wave train and setting the initial condition for what follows. The engine detects that node and treats everything before it as a separate, closed episode.
Once the reset node is established, the rebound wave is well posed, and the engine plots its stationary point — the date the rate of change reaches zero. That is the published answer: a finite, dated target for the extreme, with a confidence figure that falls as the projection stretches from the last real measurement.
Shifting from fluid dynamics to interference mathematics raises the resolution of localised extreme prediction from a weekly tendency to a dated node. The method is published here; the coefficients, phases, damping rules and seeds are proprietary and are never shipped to a device or returned by any interface.
Published summary of an attorney-review draft or engineering record — not a filing, not a patentability opinion, not a safety certification. Engine parameters, signing keys and customer records never appear in any published paper.