Richardson Number Analysis for Stratified Shear Turbulence

Daniel G. MacDonald's research dataset investigates the appropriate scale range for applying the gradient Richardson number (Ri) to stratified shear turbulence. It uses spectral and energetics arguments to define a fundamental shear length scale (lS) and evaluates findings against various data. The dataset is a 9.2 KB CSV file shared under a CC BY 4.0 license.

Use Cases

• Analyze the relationship between the Richardson number (Ri) and the primitive shear length scale (lS) to validate the critical Ri=¼ threshold.
• Examine turbulence intensity across different Reynolds number (Re) regimes as described in the parameter space analysis.
• Use the proposed Re-Ri parameter space framework to inform the interpretation of laboratory or oceanographic observational data.

Strengths

• Dataset is derived from peer-reviewed research applying spectral and energetics arguments to a fundamental fluid dynamics problem.
• Explicitly defines a scale range of validity (10 lS – 100 lS) for the critical Richardson number value of ¼.
• Shared under a permissive CC BY 4.0 license, facilitating academic reuse.

Limitations

• The dataset is very small at 9.2 KB, indicating limited scope and likely a summary or derived analytical result rather than raw observational data.
• Column names and sample data are unavailable, making it difficult to assess the exact data structure and variables without downloading.
• The description is highly theoretical; the practical data format and content for direct analysis are unclear.

Provenance

Source

Daniel G. MacDonald via figshare.

Collection Method

Derived from spectral and energetics arguments evaluated against a variety of data, as described in the accompanying research.

Time Range

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Freshness

Last updated March 2026.

Geography

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