Statistical Verification of Discrete Geometry in Turbulent Fields and Demonstration of Cosmic Computational Load — Cross-Validation of 140 Million Samples Using JHTDB and ERA5 —

This study statistically verified the existence of a discrete lattice, defined by the constant Delta = 0.010638, within fluid fields through a cross-validation approach using Direct Numerical Simulation (DNS) data from the Johns Hopkins Turbulence Databases (JHTDB) and global atmospheric reanalysis data from the European Centre for Medium-Range Weather Forecasts (ERA5). Analysis of over 145.51 million velocity vectors identified a statistical significance of 648.44 sigma in the ERA5 dataset and 168.94 sigma in the JHTDB dataset. The results demonstrate that specific geometric updating processes (Phase-14 Optimization) govern macroscopic geophysical phenomena, refuting the hypothesis that spatial discreteness is a computational artifact.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-01
DOI
https://doi.org/10.5281/zenodo.19935757
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

Statistical Verification of Discrete Geometry in Turbulent Fields and Demonstration of Cosmic Computational Load — Cross-Validation of 140 Million Samples Using JHTDB and ERA5 —

Akira Tsuyoshi
Zenodo (CERN European Organization for Nuclear Research)
Meteorological Phenomena and Simulations
article

Statistical Verification of Discrete Geometry in Turbulent Fields and Demonstration of Cosmic Computational Load — Cross-Validation of 140 Million Samples Using JHTDB and ERA5 —

Akira Tsuyoshi
article en

Abstract

This study statistically verified the existence of a discrete lattice, defined by the constant Delta = 0.010638, within fluid fields through a cross-validation approach using Direct Numerical Simulation (DNS) data from the Johns Hopkins Turbulence Databases (JHTDB) and global atmospheric reanalysis data from the European Centre for Medium-Range Weather Forecasts (ERA5). Analysis of over 145.51 million velocity vectors identified a statistical significance of 648.44 sigma in the ERA5 dataset and 168.94 sigma in the JHTDB dataset. The results demonstrate that specific geometric updating processes (Phase-14 Optimization) govern macroscopic geophysical phenomena, refuting the hypothesis that spatial discreteness is a computational artifact.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Climate action
Openalex Percentile: Top 4%
Meteorological Phenomena and Simulations
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