Articles | Volume 19, issue 6
Research article
16 Nov 2023
Research article |  | 16 Nov 2023

Impact of surface and subsurface-intensified eddies on sea surface temperature and chlorophyll a in the northern Indian Ocean utilizing deep learning

Yingjie Liu and Xiaofeng Li


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1440', Anonymous Referee #1, 20 Jul 2023
    • AC1: 'Reply on RC1', Yingjie Liu, 14 Aug 2023
      • RC2: 'Reply on AC1', Anonymous Referee #1, 30 Aug 2023
        • AC2: 'Reply on RC2', Yingjie Liu, 22 Sep 2023
  • RC3: 'Comment on egusphere-2023-1440', Anonymous Referee #2, 17 Sep 2023
    • AC3: 'Reply on RC3', Yingjie Liu, 22 Sep 2023
  • EC1: 'Comment on egusphere-2023-1440', Ana Ruescas, 24 Sep 2023
    • AC4: 'Reply on EC1', Yingjie Liu, 24 Sep 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yingjie Liu on behalf of the Authors (25 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Oct 2023) by Ana Ruescas
AR by Yingjie Liu on behalf of the Authors (07 Oct 2023)  Manuscript 
Short summary
The study developed a deep learning model that effectively distinguishes between surface- and subsurface-intensified eddies in the northern Indian Ocean by integrating sea surface height and temperature data. The accurate distinction between these types of eddies provides valuable insights into their dynamics and their impact on marine ecosystems in the northern Indian Ocean and contributes to understanding the complex interactions between eddy dynamics and biogeochemical processes in the ocean.