Preprints
https://doi.org/10.5194/egusphere-2022-944
https://doi.org/10.5194/egusphere-2022-944
23 Sep 2022
 | 23 Sep 2022

A turbulence data reduction scheme for autonomous and expendable profiling floats

Kenneth G. Hughes, James N. Moum, and Daniel L. Rudnick

Abstract. Autonomous and expendable profiling float arrays such as deployed in the Argo Program require the transmission of reliable data from remote sites. However, existing satellite data transfer rates preclude complete transmission of rapidly sampled turbulence measurements. It is therefore necessary to reduce turbulence data onboard. Here we propose a scheme for onboard data reduction and test it with existing turbulence data obtained with a newly developed version of a SOLO-II profiling float. The scheme invokes simple power law fits to (i) shear probe voltage spectra and (ii) fast thermistor voltage spectra that yield a fit value plus a quality control metric. At roughly 1 m vertical interval resolution, this scheme reduces the necessary data transfer volume 240-fold to approximately 3 kB for every 100 m of a profile (when profiling at 0.2 m s-1). Turbulent kinetic energy dissipation rate ε and thermal variance dissipation rate χ are recovered in post-processing. As a test, we apply our scheme to a dataset comprising 650 profiles and compare its output to that from our standard turbulence processing algorithm. For ε, values from the two approaches agree within a factor of two 87 % of the time; for χ, 78 %. These levels of agreement are greater than or comparable to that between the ε and χ values derived from two shear probes and two fast thermistors, respectively, on the same profiler.

Journal article(s) based on this preprint

28 Feb 2023
A turbulence data reduction scheme for autonomous and expendable profiling floats
Kenneth G. Hughes, James N. Moum, and Daniel L. Rudnick
Ocean Sci., 19, 193–207, https://doi.org/10.5194/os-19-193-2023,https://doi.org/10.5194/os-19-193-2023, 2023
Short summary

Kenneth G. Hughes et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-944', Anonymous Referee #1, 17 Nov 2022
    • AC1: 'Reply on RC1', Kenneth Hughes, 26 Jan 2023
  • CC1: 'Comment on egusphere-2022-944', Cynthia Bluteau, 05 Dec 2022
    • AC2: 'Reply on CC1', Kenneth Hughes, 26 Jan 2023
  • RC2: 'Comment on egusphere-2022-944', Toshiyuki Hibiya, 21 Dec 2022
    • AC3: 'Reply on RC2', Kenneth Hughes, 26 Jan 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-944', Anonymous Referee #1, 17 Nov 2022
    • AC1: 'Reply on RC1', Kenneth Hughes, 26 Jan 2023
  • CC1: 'Comment on egusphere-2022-944', Cynthia Bluteau, 05 Dec 2022
    • AC2: 'Reply on CC1', Kenneth Hughes, 26 Jan 2023
  • RC2: 'Comment on egusphere-2022-944', Toshiyuki Hibiya, 21 Dec 2022
    • AC3: 'Reply on RC2', Kenneth Hughes, 26 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Kenneth Hughes on behalf of the Authors (26 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (01 Feb 2023) by Katsuro Katsumata
AR by Kenneth Hughes on behalf of the Authors (04 Feb 2023)  Author's response   Manuscript 

Journal article(s) based on this preprint

28 Feb 2023
A turbulence data reduction scheme for autonomous and expendable profiling floats
Kenneth G. Hughes, James N. Moum, and Daniel L. Rudnick
Ocean Sci., 19, 193–207, https://doi.org/10.5194/os-19-193-2023,https://doi.org/10.5194/os-19-193-2023, 2023
Short summary

Kenneth G. Hughes et al.

Kenneth G. Hughes et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
Oceanic turbulence can be measured from autonomous vehicles such as floats and gliders. The raw data files, however, are too large to be transmitted back via satellite. Some processing to reduce the data must happen onboard. We present a scheme to do just that and test it with existing measurements. Our scheme will make it possible to deploy turbulence platforms without the need for their recovery.