Boundary Layer Turbulence and Abyssal Recipes (BLT): Microstructure and Dye Survey Datasets

These data were collected as part of the Boundary Layer Turbulence and Abyssal Recipes (BLT Recipes) Experiment which focused on near-bottom processes within a continental slope canyon on the eastern side of the Rockall Trough, off Ireland. These datasets contain mooring and profiler data from dye and microstructure surveys conducted in June/July 2021 and August 2022.
A fluorescein dye release was measured using the Fast CTD, a tethered profiler with a Seabird SBE49 CTD, a custom micro-conductivity probe, a Turner C-FLUOR fluorometer and an altimeter. We also conducted 5 microstructure turbulence stations using the epsi-fish profiler which measured temperature, pressure and salinity from a Seabird 49 CTD, height above bottom from a custom altimeter and kinetic energy and thermal dissipation rates measured from airfoil and thermistor probes, respectively. A McLane Moored Profiler was deployed for one week during the dye release and was outfitted with a Seabird SBE52 CTD, a Falmouth Scientific Inc. acoustic current meter, a Turner C-FLUOR fluorometer and two thermistor probes. The McLane Moored Profiler was re-deployed, without the fluorometer and thermistor probes until October 2021. In August 2022, another 6 microstructure stations were conducted with the epsi-fish profiler.

Disciplines

Physical oceanography

Keywords

turbulence, microstructure, Rockall Trough, canyon, bottom boundary layer, internal waves

Location

54.410909N, 54.116548S, -11.725762E, -12.152856W

Data

FileSizeFormatProcessingAccess
Zip file containing mooring and FCTD data (.mat)
81 MoMATProcessed data
Zip file containing microstructure data (.nc and .mat)
169 MoNetCDFProcessed data
How to cite
Wynne-Cattanach Bethan, Couto Nicole, Drake Henri, Ferrari Raffaele, Le Boyer Arnaud, Mercier Herle, Messias Marie-Jose, Ruan Xiaozhou, Spingys Carl, Van Haren Hans, Voet Gunnar, Polzin Kurt, Naveira Garabato Alberto, Alford Matthew (2024). Boundary Layer Turbulence and Abyssal Recipes (BLT): Microstructure and Dye Survey Datasets. SEANOE. https://doi.org/10.17882/98178

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