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  6. Data and scripts from: Formation and evolution of turbulence in convectively unstable internal solitary waves of depression shoaling over gentle slopes in the South China Sea

Data and scripts from: Formation and evolution of turbulence in convectively unstable internal solitary waves of depression shoaling over gentle slopes in the South China Sea

File(s)
README_ISW_SCS_Dataset.md (8.84 KB)
How_To_Log_In_and_Transfer_Files_with_Globus_20260116.pdf (2.7 MB)
NSF_JPO_SCS_ISW_CHECKSUM.sha256list.md (11.53 KB)
Permanent Link(s)
https://doi.org/10.7298/fk0s-3j13
https://hdl.handle.net/1813/118365
Collections
Civil and Environmental Engineering Publications and Datasets
Author
Bolioudakis, Tilemachos
Diamessis, Peter J.
Diamantopoulos, Theodoros
Thomsen, Greg
Abstract

The shoaling of high-amplitude Internal Solitary Waves (ISWs) of depression in the South China Sea (SCS) is examined through large-scale parallel turbulence-resolving high-accuracy/resolution simulations. A select, near-isobath-normal, bathymetric transect of the gentle SCS continental slope is employed together with stratification and current profiles obtained by in-situ measurements. Three simulations of separate ISWs with initial deep-water amplitudes in the range [136m, 150m] leverage a novel wave-tracking capability for a propagation distance of 80km and accurately reproduce key features of in-situ-observed phenomena with significantly higher spatiotemporal resolution. The interplay between convective and shear instability and the associated turbulence formation and evolution, as a function of deep-water ISW amplitude are further studied in-part revealing processes previously not observed in the field. Across all three waves, the convective instability develops in a similar fashion. Heavier water entrained from the wave rear plunges into its interior, giving rise to transient, yet distinct, subsurface vortical structures. Ultimately, a gravity current is triggered which horizontally advances through the wave interior and mixes it down to pycnocline’s base. Although the waveform remains distinctly symmetric, Kelvin-Helmholtz billows emerge near the well-mixed ISW trough, disturb the wave’s trailing edge and give rise to an active wake. The evolution of the kinetic energy associated with finer-scale perturbations to the ISW-induced velocity field shows two different growth regimes, each dominated by either convective or shear instability. The wake’s perturbation kinetic energy is nonlinearly dependent on deep-water wave amplitude and can become a sizable fraction of the kinetic energy of the deep-water ISW.

Description
Please refer to the README_ISW_SCS_Dataset.md document for access instructions to the datafiles in this dataset.

This dataset will be available for download per the access instructions in the readme document until at least Jan 15, 2031. Any chances to access of the dataset files will be noted here and in the README document.

If you use this dataset, please cite it as:
Bolioudakis, T., Diamessis, P., Diamantopoulos, T., & Thomsen, G. (2026). Data and scripts from: Formation and evolution of turbulence in convectively unstable internal solitary waves of depression shoaling over gentle slopes in the South China Sea [Dataset]. Cornell University Library eCommons Repository. https://doi.org/10.7298/FK0S-3J13.
Sponsorship
National Science Foundation (NSF) grant OCE-1634257
NSF-OCE 1948251
NSF-OCE 1634182
Date Issued
2026-01-16
Keywords
Internal Waves
•
Turbulence
•
Numerical Modeling
•
Spectral Element Methods
Related Publication(s)
Bolioudakis, T., T. Diamantopoulos, P. J. Diamessis, R. Lien, K. G. Lamb, G. Rivera-Rosario, and G. N. Thomsen, 2025: Formation and evolution of turbulence in convectively unstable internal solitary waves of depression shoaling over gentle slopes in the South China Sea. J. Phys. Oceanogr., , e240181, https://doi.org/10.1175/JPO-D-24-0181.1, in press.
Link(s) to Related Publication(s)
https://doi.org/10.1175/JPO-D-24-0181.1
Rights
CC0 1.0 Universal
Rights URI
http://creativecommons.org/publicdomain/zero/1.0/
Type
dataset

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