What does this research mean for the field?

The predictable fraction of weather systems is limited to 12.1% due to entropy constraints, explaining forecasting plateaus beyond approximately two weeks. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The study aims to determine the limits of predictability in weather systems using information theory principles.

March 2, 2026Open Access

CGT - Predictability Limits in Weather Systems: The 12.1% Entropy Boundary from Information Theory

Puntos clave

The study aims to determine the limits of predictability in weather systems using information theory principles.
Calculated predictable fraction using information theory.
Validated findings across five different weather phenomena.
Analyzed average predictability against 12.1% entropy boundary.
Established an entropy boundary of 12.1% for predictability.
Average predictable fraction observed at 12.6% across tested phenomena.
Explained the plateau effect in weather forecasting beyond two weeks.

Resumen

Predictable fraction = (1/φ) Y = 12. 1%. Validated across five weather phenomena with average 12. 6%. Explains why forecasting plateaus beyond ~2 weeks.

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Cite This Study

Phileas Foxx (Sat,) studied this question.

synapsesocial.com/papers/69a52e56f1e85e5c73bf1fe6 https://doi.org/https://doi.org/10.5281/zenodo.18817430

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