Articles | Volume 17, issue 2
Ocean Sci., 17, 463–486, 2021
https://doi.org/10.5194/os-17-463-2021
Ocean Sci., 17, 463–486, 2021
https://doi.org/10.5194/os-17-463-2021

Research article 15 Mar 2021

Research article | 15 Mar 2021

Water masses in the Atlantic Ocean: characteristics and distributions

Mian Liu and Toste Tanhua

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mian Liu on behalf of the Authors (13 Feb 2020)  Author's response
ED: Referee Nomination & Report Request started (25 Feb 2020) by Matthew Hecht
RR by Anonymous Referee #3 (30 Mar 2020)
RR by Sjoerd Groeskamp (13 May 2020)
ED: Reconsider after major revisions (30 May 2020) by Matthew Hecht
AR by Anna Mirena Feist-Polner on behalf of the Authors (09 Oct 2020)  Author's response
ED: Referee Nomination & Report Request started (23 Oct 2020) by Matthew Hecht
RR by Sjoerd Groeskamp (02 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (03 Dec 2020) by Matthew Hecht
AR by Toste Tanhua on behalf of the Authors (08 Dec 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (22 Dec 2020) by Matthew Hecht
AR by Toste Tanhua on behalf of the Authors (30 Dec 2020)  Author's response
ED: Publish subject to technical corrections (21 Jan 2021) by Matthew Hecht
AR by Toste Tanhua on behalf of the Authors (08 Feb 2021)  Author's response    Manuscript
Download
Short summary
We have characterized the major water masses in the Atlantic Ocean based on the properties found in their formation areas using six properties taken from the GLODAPv2 data product, including both conservative (conservative temperature and absolute salinity) and non-conservative (oxygen, silicate, phosphate and nitrate) properties. The distributions of the water masses are estimated by using the optimum multi-parameter (OMP) model, and we have mapped the distributions of the water masses.