Articles | Volume 11, issue 2
Geosci. Instrum. Method. Data Syst., 11, 359–373, 2022
https://doi.org/10.5194/gi-11-359-2022
Geosci. Instrum. Method. Data Syst., 11, 359–373, 2022
https://doi.org/10.5194/gi-11-359-2022
Research article
25 Oct 2022
Research article | 25 Oct 2022

Glider observations of thermohaline staircases in the tropical North Atlantic using an automated classifier

Callum Rollo et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gi-2021-27', Carine van der Boog, 17 Nov 2021
  • RC2: 'Comment on gi-2021-27', Anonymous Referee #2, 18 Mar 2022
  • AC1: 'final author comments', Callum Rollo, 05 Apr 2022
  • AC2: 'final author comments revier two response', Callum Rollo, 05 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Callum Rollo on behalf of the Authors (20 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Aug 2022) by David Barclay
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Short summary
Using an underwater buoyancy-powered autonomous glider, we collected profiles of temperature and salinity from the ocean north-east of Barbados. Most of the temperature and salinity profiles contained staircase-like structures of alternating constant values and large gradients. We wrote an algorithm to identify these staircases. We hypothesise that these staircases are prevented from forming where background gradients in temperature and salinity are too great.