Journal article Open Access

A turbulence data reduction scheme for autonomous and expendable profiling floats: datasets

Kenneth Hughes

Dataset associated with the following two papers:

  • Hughes et al. – A turbulence data reduction scheme for autonomous and expendable profiling floats. Submitted to Ocean Sci.
  • Moum et al. – Flippin’ χSOLO, an upper ocean autonomous turbulence profiling float. Submitted to J. Atmos. Oceanic Tech.

The description below is also included in _fcs_data_readme.pdf

During field tests in 2019, we deployed two FCS floats (units 4002 and 4003). Between the two, approximately 650 profiles were taken. For each profile, we are archiving five configurations of the data. We are providing these in both Matlab .mat format and NetCDF .nc format. The content is the same, but the formatting differs.

For the Matlab files, each of the five configurations is contained within a struct within the same Matlab .mat file. For the NetCDF files, the variable names are prepended with the names of the structs. For example avg.S1 in the Matlab file corresponds to avg_S1 in the NetCDF file.

To facilitate downloading from Zenodo, the files are grouped into days (May 13, 14, 15, 16, and 17) and direction (UP and DN).

data The raw data in voltage units
blk The calibrated data (with shear despiked) in 512-element blocks
phi Spectra in physical units (associated with segments in blk)
avgavgr The binned data including derived turbulence quantities

In the Matlab files, blk, phi, avg, and avgr contain readmes with full details about the individual quantities that were measured or derived. In the NetCDF files, these details are attributes associated with each variable.

The structs avg and avgr are similar, but avg was derived with a standard processing approach, whereas avgr was derived using the data reduction scheme described in the paper. The number of depths bins may differ between the two due to differences in the calculation of Wmin and hence the identification of the end of the profile. Further, avgr (but not avg) includes bad values of ε and χ in the lowest tens of meters of upward profiles when the ballast pump is running. (The data reduction scheme does not include a method to identify when the ballast pump is on within individual profiles. Therefore, we have left the bad values in avgr. However, the bad values are easily identified in post-processing by comparing successive casts.)

Each Matlab file also includes the struct head, which is a header file that includes calibration coefficients.

Each filename is of the form UD_YYYYMMDDhhmmss_00X.ext where UD is UP or DN, YYYYMMDDhhmmss is the time stamp when the raw file was first created, 00X is 001 for unit 4002 and 002 for unit 4003, and .ext is either .mat or .nc.

Sea surface height spectra are contained within a substruct of avgr within the DN profiles in the Matlab files.

Some files, especially early ones, may not contain any values in avg or avg. These can be ignored.

Files (5.3 GB)
Name Size
_fcs_data_readme.pdf
md5:fd85dfab60364f6f8765c10156049a87
191.5 kB Download
DN_20190513.zip
md5:f5e55d396f44f9415b3dc988875c0291
31.3 MB Download
DN_20190513_netcdf.zip
md5:904cdf2e931bff47c0c309e2e0611722
9.7 MB Download
DN_20190514.zip
md5:5fad30fb4ece0bea902a3a89fbdebd94
350.3 MB Download
DN_20190514_netcdf.zip
md5:0692a7f50738e686d46cc64f1b57a2a3
261.6 MB Download
DN_20190515.zip
md5:f3618424c307d47ee704dfe4be143c85
394.1 MB Download
DN_20190515_netcdf.zip
md5:c4bb6a06877198bb63257c75cd959ac7
286.6 MB Download
DN_20190516.zip
md5:4afd7b3d56fbc53559873fb15cbf64c5
511.7 MB Download
DN_20190516_netcdf.zip
md5:e3a16ad4dc49b9d79286cda966a73174
391.6 MB Download
DN_20190517.zip
md5:acdbf4047662f6c321f660d72e6e6648
330.8 MB Download
DN_20190517_netcdf.zip
md5:6f0ff81687c74c92945ab50b1255e195
251.7 MB Download
UP_20190513.zip
md5:4e8ac8c15e5d1b49c52cc54593fd5fc3
7.4 MB Download
UP_20190513_netcdf.zip
md5:17863621907a7828445b210b55413ff4
5.6 MB Download
UP_20190514.zip
md5:50865ce034eeb9ee14a616fd4a97c4f4
385.7 MB Download
UP_20190514_netcdf.zip
md5:c1c585b2045e97ae1b0451d2f6e30cec
302.4 MB Download
UP_20190515.zip
md5:b29ae26ebd5201f2ca3bac193b840483
367.0 MB Download
UP_20190515_netcdf.zip
md5:269516ef68b519adff8396ae324dd8a8
287.6 MB Download
UP_20190516.zip
md5:3ac790230e178a637e82accdcbedc472
365.4 MB Download
UP_20190516_netcdf.zip
md5:1be94432bd3a236ce3fa79ff841b4747
287.4 MB Download
UP_20190517.zip
md5:cd029a23565f337671ff5c9471669832
236.2 MB Download
UP_20190517_netcdf.zip
md5:9f3e79dc21970bfcfdfd7271a97faa8e
185.9 MB Download
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