Articles | Volume 12, issue 4
Earth Syst. Dynam., 12, 1295–1369, 2021
https://doi.org/10.5194/esd-12-1295-2021
Earth Syst. Dynam., 12, 1295–1369, 2021
https://doi.org/10.5194/esd-12-1295-2021

Research article 30 Nov 2021

Research article | 30 Nov 2021

Exploring the coupled ocean and atmosphere system with a data science approach applied to observations from the Antarctic Circumnavigation Expedition

Sebastian Landwehr 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 esd-2021-16', Anonymous Referee #1, 28 May 2021
    • AC1: 'Reply on RC1', Julia Schmale, 25 Jun 2021
  • RC2: 'Comment on esd-2021-16', Anonymous Referee #2, 01 Jun 2021
    • AC2: 'Reply on RC2', Julia Schmale, 25 Jun 2021
  • RC3: 'Review of Landwehr et al., 2021, ESD', Anonymous Referee #3, 02 Jun 2021
    • AC3: 'Reply on RC3', Julia Schmale, 25 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (28 Jun 2021) by Christoph Heinze
AR by Julia Schmale on behalf of the Authors (01 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (06 Sep 2021) by Christoph Heinze
RR by Anonymous Referee #3 (16 Sep 2021)
ED: Publish subject to technical corrections (28 Sep 2021) by Christoph Heinze
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Short summary
The Antarctic Circumnavigation Expedition surveyed a large number of variables describing the dynamic state of ocean and atmosphere, freshwater cycle, atmospheric chemistry, ocean biogeochemistry, and microbiology in the Southern Ocean. To reduce the dimensionality of the dataset, we apply a sparse principal component analysis and identify temporal patterns from diurnal to seasonal cycles, as well as geographical gradients and hotspots of interaction. Code and data are open access.
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