Data and software for "Wind-front interactions drive intense turbulence at the oceanic submesoscale"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Hieu T. Pham
DOI: 10.5281/zenodo.18182770
Cited by: 1

Abstract

Statistics from LES simulations of a dense water filament with wind forcing. The variables include temperature, salinity, velocity components, turbulent kinetic energy budget and heat fluxes.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Document type
Dataset