Microstructure datasets from the MomarSat 2022 cruise

This data publication provides two datasets of turbulent kinetic energy dissipation rates sampled during the MomarSat 2022 cruise. One dataset was gathered with a deep autonomous Vertical Microstructure Profiler (VMP-6000). The second dataset was gathered with the MicroRiYo mooring as described in the reference paper (Ferron et al. 2024). The two datasets, one for each instrument, are available as tar files. Each tar file contains fourteen NetCDF files. Each NetCDF file contains the dissipation rate profile, the time (UTC) of the profile start, the geographical position (deployment of the VMP or mooring position), and the mean pressure for each dissipation rate estimate (two estimates at each pressure level from the two shear sensors). Each dissipation rate comes with a quality control matrix QC (14 x 4) that characterizes how the associated mean shear spectrum fitted the expected theoretical Nasmyth spectrum:

QC( 1:10, 1 ) : Value of the 10 criteria used (see reference paper) for the dissipation rates of shear 1.

QC( 1:10, 2 ): Criteria met (=1) or not met (=0) for shear 1 dissipation rates.

QC(11,1): Same criteria as QC(10,1) expressed in terms of mean absolute deviation (MAD) instead of variance (see Lueck et al. 2022) (shear 1).

QC(11,2): state whether criteria QC(11,1) is met (=1) or not met (=0) (shear 1).

QC(12,1): Number of shear spectra averaged to compute one dissipation rate estimate (shear 1).

QC(12,2): Number of accelerometer used to remove vibrations (Goodman et al. 2006; Lueck et al. 2022; Ferron et al. 2023) (shear 1)

QC(13,1): MAD (shear 1)

QC(13,2): unused

QC(14,1): index of first used spectral component to compute the shear variance used in the dissipation rate estimate (shear 1).

QC(14,2): index of last used spectral component to compute the shear variance used in the dissipation rate estimate (shear 1).

QC(:,3): same as QC(:,1) for shear 2.

QC(:,4): same as QC(:,2) for shear 2.

Shear data were processed following the processing flow chart of the Atomix SCOR Working Group 160 (https://wiki.app.uib.no/atomix/index.php?title=Flow_chart_for_shear_probes).

References:

Ferron, B., S. Leizour, M. Hamon, O. Peden, 2024: MicroRiYo : An observing system for deep repeated profiles of kinetic energy dissipation rates from shear-microstructure turbulence along a mooring line, submitted to J. Atmos. Ocean. Tech.

Lueck, R. G., 2022: The Statistics of Oceanic Turbulence Measurements. Part II: Shear Spectra and a New Spectral Model. J. Atmos. Oceanic Technol., 39, 1273–1282, https://doi.org/10.1175/JTECH-D-21-0050.1.

Disciplines

Physical oceanography

Keywords

Microstructure, Dissipation, kinetic energy, Mid-Atlantic Ridge, Mixing, Turbulence

Location

38N, 36S, -31E, -34W

Devices

Dissipation rates were computed with data sampled from microctructure SPM-38-shear probes (RSI, Canada) sampled at a frequency 512 Hz.

Data

FileSizeFormatProcessingAccess
tar file of NetCDF files contaning dissipation rate estimates from the Vertical Microstructure Profiler VMP-6000 during MoMARsat 2022 cruise
3 MoNetCDFProcessed data
tar file of NetCDF files contaning dissipation rate estimates from the MicroRiYo mooring during the MoMARsat 2022 cruise
2 MoNetCDFProcessed data
How to cite
Ferron Bruno, Leizour Stephane, Hamon Michel, Peden Olivier (2022). Microstructure datasets from the MomarSat 2022 cruise. SEANOE. https://doi.org/10.17882/98361

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