Abstract:

This dataset contains pressure, velocity, and turbulent kinetic energy dissipation (TKED) estimates collected in an effort to further understand the turbulence generation of non-breaking waves, which is understood less than the turbulence generation by breaking waves. Measurements of solitary waves were made in a long wave flume in order to isolate the effect of non-breaking waves other natural phenomena. The data includes along- and cross-stream velocities measured by current meter, near surface pressure data, raw data from a VMP200 vertical microstructure profiler, and processed temperature variance dissipation rates measured by Optical Turbulence Sensor (OTS). Also included is a record of velocity, time, and dissipation rates observed during the passing of an example soliton to illustrate the evolution of turbulence generation with wave phase and depth. Error estimates are also included. Velocity and dissipation rate estimates measured in a similar experiment are found in related dataset R6.x806.000:0023 (doi: 10.7266/8P7590DJ).

Suggested Citation:

Darek Bogucki. 2020. Dataset for: On the nature of the turbulent energy dissipation beneath non-breaking waves. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/ATC4NDEF

Publications:

Bogucki, D. J., Haus, B. K., Barzegar, M., Shao, M., & Domaradzki, J. A. (2020). On the Nature of the Turbulent Energy Dissipation Beneath Nonbreaking Waves. Geophysical Research Letters, 47(19). doi:10.1029/2020gl090138

Purpose:

To quantify the turbulent strength of non-breaking waves in a laboratory environment where the waves' effects can be isolated and analyzed.

Data Parameters and Units:

The dataset is organized into five (5) directories, each containing a different type of measurement and containing an explanation of format and methodology. Directory: current_meterALL contains Matlab code changing the time format, an Explanation document, the raw current meter data, and a subdirectory containing data from the individual experimental runs and observed solitons. The raw data contain a header with configuration data followed by comma-separated columns: Date [YYY/MM/DD], Time [HH:MM:SS], Velocity [cm/s], Direction [degrees], NS Velocity [cm/s], EW Velocity [cm/s], Temperature [degrees C], CompA[], CompB[], Compass [degrees], Velocity -X cm/s], Velocity -Y [cm/s], and Battery [V]. Data from the individual runs have the parameters time [Matlab format], time [fraction of the day], streamwise direction velocity [cm/s], cross-stream direction velocity [cm/s]). Directory: OTS_current_runLL contains a Readme file describing the OTS instrument, the set-up, the included files, and the data formats; time_curr contains time from the LL soliton exemplar peak [s] and measured along-stream velocity [cm/s]; time_log_eps contains time from the LL soliton exemplar peak [s] and measured TKED (log_10, [W/kg or m^2/s^3]). Directory: pressure_sensorsALL includes a Readme file describing the instrument deployment; a Matlab script to read in the pressure data and merge a time record; a Readme file detailing the data format for the individual-run pressure records; and Run Information.xlsx records Run Number [RunXXX], Case Name [Case AA], Data quality notes, Date [20-Nov], Start time (UTC) [HH:MM:SS.SSS PM], Start time (local) [HH:MM:SS.SSS PM], Run duration [seconds], pressure start [record number], and pressure end [record number]. Subdirectory pressure contains the raw pressure data (original and re-named and used in scripts): timestamp [2018-11-20 HH:MM:SS.S], record [enum], pressure (8 total, [hPA]). Directory: VMP_eps_wave_amp contains a Readme file describing the VMP instrument and setup, as well as parameters and formats. vmp_eps contains the TKED estimates as a function of wave amplitude in the format soliton amplitude, [m]), uncertainty on soliton amplitude (DA, [m]), log10 of the dissipation from sensor 1 [W/kg]), +1 standard deviation on sensor 1 log10 dissipation [W/kg], -1 standard deviation on sensor 1 log10 dissipation [W/kg], log10 of the dissipation from sensor 2 [W/kg]), +1 standard deviation on sensor 2 log10 dissipation [W/kg], and -1 standard deviation on sensor 2 log10 dissipation [W/kg]. Directory: VMP_Nov_20_2018_ALL contains a copy of the VMP configuration file; a Readme file describing the instrument, its set-up, a brief description of the included files; a Run information worksheet; and subdirectories for each each Run. The Run information worksheet contains Name [RunXXX and Case AA], Quality of data notes, Date [20-Nov], start time UTC [HH:MM:SS.SSS PM], start time local Miami [HH:MM:SS.SSS PM], Run duration [seconds], start point (row number in current meter data CSV file, [enum]), end point (row number in current meter data CSV file, [enum]), [-1*number lines in current meter data CSV file], Sn (tenth of a second time mark in current meter record, [1-10]), tin current meter (time mark in current meter record), start good data, end good data, velocity [m/s]. Individual run directories include the raw VMP file, exported VMP data in Matlab format, and a Matlab data file containing time [seconds since the experiment began] and BLAH []. Some run subdirectories also include various spectra in Matlab figure format.

Methods:

The experiments were conducted in the University of Miami Rosenstiel School of Marine & Atmospheric Science (RSMAS) SUrge STructure Atmosphere Interaction Facility (SUSTAIN) wave flume (23m x 6m x 0.72m). A set of twelve computer-controlled wave paddles generated the solitons. Instruments were deployed between 9 and 17 centimeters (cm) below the water surface, measuring pressure (eight instruments) and current velocity to identify episodes of wave breaking (for example, current asymmetries). Microscale velocity fluctuations, and turbulent kinetic energy dissipation rate, was measured by the Optical Turbulence Sensor (OTS) and the VMP200 vertical microstructure profiler. Due to the size and number of image files collected they are not available directly through this site. For full OTS image data set contact Darek Bogucki at: darek.bogucki@tamucc.edu.

Instruments:

Vertical Microstructure Profiler (Rockland, Inc.), Infinity EM AEM-USB current meter (JFE Advantech), eight pressure sensors (MKS Differential Pressure Transducer model 226 A), Optical Turbulence Sensor (OTS) (light sheet and line scan camera - Piranha 2, DALSA; 10^-4 - 10^-10 m^2/s^3 and 10^-1 - 10^09 C^2/s measurement ranges, 6-15 microsecond time to obtain a temperature spectrum). For more in depth OTS description see Bogucki et al (2007).

Error Analysis:

Dissipation data provided with the one sigma deviation estimates

Provenance and Historical References:

Bogucki, Darek J., Julian A. Domaradzki, Chris Anderson, Hemantha W. Wijesekera, Ronald V. Zaneveld, and Christopher Moore. Optical measurement of rates of dissipation of temperature variance due to oceanic turbulence. Optics Express, 15(12), 7224-7230. doi: 10.1364/OE.15.007224

Individual Files: