Data from: Near-real-time processing and telemetry of turbulent dissipation rate estimates by Autonomous Underwater Gliders
Data files
Sep 25, 2026 version files 63.88 MB
Sep 25, 2026 version files 63.88 MB
Abstract
Autonomous underwater gliders (AUGs) are an established platform for conducting direct microstructure measurements of turbulent kinetic energy (TKE) dissipation rate ε. This technique requires measuring the velocity shear (∂u/∂z) at a high rate (∼512 Hz) which generates raw data that are orders of magnitude greater in size than autonomous platforms can wirelessly transfer to shore while deployed. We demonstrate the technical readiness of a novel system based on data collected by two vehicles during approximately 3 months of sea trials southwest of Iceland and northwest of Guam, which were conducted for the Office of Naval Research’s Near-Inertial Shear and Kinetic Energy in the North Atlantic Experiment (NISKINE) and Island Arc Turbulent Eddy Regional Exchange (ARCTERX) Departmental Research Initiatives.
Dataset DOI: 10.5061/dryad.cjsxksnpm
Data to accompany the article "Journal of Atmospheric and Oceanic Technology" (Journal of Atmospheric and Oceanic Technology, 10.1175/JTECH-D-25-0058.1) by Justin Shapiro, Laur Ferris, Patricia Kassis, Rolf Lueck, Sophia Merrifield, and Louis St. Laurent
This data archive contains .mat processed files used to create figures in the article. The article focuses on the in situ processing of oceanographic microstructure data collected by Autonomous Underwater Gliders. The novel device used to process the microstructure data is called the Turbulence Processor (TP) which is equipped with two microstructure shear probes. We also present surfacing forcing measurements made by a meteorological instrument package mounted on an Autonomous Surface Vessel. The article describes means by which the in situ and post processed data in handled, and how they compare.
Metadata corresponding to each subplot of each figure are provided below in one .mat file per figure and one structure per subplot. Units are listed for each variable below.
Fig5.mat
Structure Fig5 contains:
"lon" = glider timeseries of longitude (degrees)
"lat" = glider timeseries of latitude (degrees)
"time" = time for each latitude/longitude pair (matlab datenum)
Fig7.mat
Structure Fig7a contains:
"epsilon_x" = meshgrid of timestamps (matlab datenum)
"epsilon_y" = meshgrid of depth/pressure (dBar)
"epsilon" = meshgrid of log10(epsilon) (log10 W/kg)
Structure Fig7b contains:
"epsilon_x" = meshgrid of timestamps (matlab datenum)
"epsilon_y" = meshgrid of depth/pressure (dBar)
"epsilon" = meshgrid of log10(epsilon) (log10 W/kg)
Fig8.mat
Structure Fig8a contains variables:
"x" = timestamp of wind speed (matlab datetime)
"y" = magnitude of wind speed (Knot)
Structure Fig8b contains variables:
"x" = timestamp of significant wave height (matlab datetime)
"y" = magnitude of significant wave height (m)
Structure Fig8c contains variables:
"x" = timestamp of energy density (matlab datetime)
"y" = frequency (Hz)
"z" = magnitude of energy (m^2/Hz)
Structure Fig8d contains variables:
"x" = timestamp of dissipation estimate (matlab datenum)
"y" = depth of dissipation estimate (dBar)
"epsilon" = log10(Epsilon), where epsilon is the QC'd best estimate (W/kg)
Fig9.mat
Structure Fig9 contains:
"lon" = glider timeseries of longitude (degrees)
"lat" = glider timeseries of latitude (degrees)
"time" = time for each latitude/longitude pair (matlab datenum)
Fig10.mat
Structure Fig10a contains:
"epsilon_x" = meshgrid of timestamps (matlab datenum)
"epsilon_y" = meshgrid of depth/pressure (dBar)
"epsilon" = meshgrid of log10(epsilon) (log10 W/kg)
Structure Fig10b contains:
"epsilon_x" = meshgrid of timestamps (matlab datenum)
"epsilon_y" = meshgrid of depth/pressure (dBar)
"epsilon" = meshgrid of log10(epsilon) (log10 W/kg)
Fig11.mat
Structure Fig11a contains variables:
"FOM1x" = Center of histogram bins for FOM1 and FOM2 (non dimensional)
"FOM1y" = Amplitude of histogram bins for figure of merit value for shear probe 1 (non dimensional)
"FOM2y" = Amplitude of histogram bins for figure of merit value for shear probe 2 (non dimensional)
Structure Fig11b contains variables:
"percentages" = percent occurrence for relation of Q1 with Q2 (percent)
Structure Fig11c contains variables:
"epsilon_x" = timestamp of dissipation estimate (matlab datenum)
"epsilon_y" = pressure/depth level of dissipation estimate (dBar)
"epsilon" = log10(epsilon), value of the dissipation estimate (W/kg)
Fig12.mat
Structure Fig12a contains variables:
"FOM1x" = Center of histogram bins for FOM1 and FOM2 (non dimensional)
"FOM1y" = Amplitude of histogram bins for figure of merit value for shear probe 1 (non dimensional)
"FOM2y" = Amplitude of histogram bins for figure of merit value for shear probe 2 (non dimensional)
Structure Fig12b contains variables:
"percentages" = percent occurrence for relation of Q1 with Q2 (percent)
Structure Fig12c contains variables:
"epsilon_x" = timestamp of dissipation estimate (matlab datenum)
"epsilon_y" = pressure/depth level of dissipation estimate (dBar)
"epsilon" = log10(epsilon), value of the dissipation estimate (W/kg)
Fig13.mat
Structure Fig13a contains variables:
"x" = vector matlab datenumstamps (matlab datenum)
"y" = pressure level of dissipation rate estimate differences (dBar)
"z" = magnitude of difference between dissipation rate calculated in situ and best estimate calculated during post processing (W/kg)
Structure Fig13b contains variables:
"x" = vector matlab datenumstamps of dissipation rate difference estimates (matlab datenum)
"y" = pressure level of dissipation rate estimate differences (dBar)
"z" = magnitude of difference between dissipation rate calculated in situe and best estimate calculated during post processing (W/kg)
Fig14.mat
Structure Fig14a contains variables:
"x" = center of each population density bin (W/kg)
"y" = population density of each bin corresponding to magnitude of epsilon 1 (non dimensional)
Structure Fig14b contains variables:
"x" = center of each population density bin (W/kg)
"y" = population density of each bin corresponding to magnitude of epsilon 2 (non dimensional)
Structure Fig14c contains variables:
"x" = center of each population density bin (W/kg)
"y" = population density of each bin corresponding to magnitude of QC'd epsilon estimate (non dimensional)
