Preprints
https://doi.org/10.5194/egusphere-2022-510
https://doi.org/10.5194/egusphere-2022-510
28 Jun 2022
 | 28 Jun 2022

Ocean Modeling with Adaptive REsolution (OMARE, version 1.0) – Refactoring NEMO model (version 4.0.1) with the parallel computing framework of JASMIN. Part 1: adaptive grid refinement in an idealized double-gyre case

Yan Zhang, Xuantong Wang, Yuhao Sun, Chenhui Ning, Shiming Xu, Hengbin An, Dehong Tang, Hong Guo, Hao Yang, Ye Pu, Bo Jiang, and Bin Wang

Abstract. High-resolution models have become widely available to study ocean’s small-scale processes. Although these models simulates more turbulent ocean dynamics and reduces uncertainties of parameterizations, they are not practical for long-term simulations, especially for climate studies. Besides scientific research, there are also growing needs from key applications for multi-resolution, flexible modeling capabilities. In this study we introduce the Ocean Modeling with Adaptive REsolution (OMARE), which is based on refactoring NEMO with a parallel computing framework of JASMIN. OMARE supports adaptive mesh refinement (AMR) for the simulation of the multi-scale ocean processes with improved computability. We construct an idealized, double-gyre test case, which simulates a western-boundary current system with seasonally changing atmospheric forcings. This paper (part 1) focuses on the ocean physics simulated by OMARE at two refinement scenarios: (1) 0.5°–0.1° with static refinement and the transition from laminar to turbulent, eddy rich ocean, and (2) short-term 0.1°–0.02° AMR experiments which focus on submesoscale processes. Specifically, for the first scenario, we show that the ocean kinematics on the refined, 0.1° region is sensitive to the choice of refinement region within the low-res., 0.5° basin. Furthermore, for the refinement to 0.02°, we adopt refinement criteria for AMR based on surface velocity and vorticity. Results show that temporally changing features at the ocean’s mesoscale, as well as submesoscale process and its seasonality, are well captured through AMR. Related topics and future plans of OMARE, including overlaying in AMR, are further discussed for further oceanography studies and applications.

Journal article(s) based on this preprint

30 Jan 2023
Ocean Modeling with Adaptive REsolution (OMARE; version 1.0) – refactoring the NEMO model (version 4.0.1) with the parallel computing framework of JASMIN – Part 1: Adaptive grid refinement in an idealized double-gyre case
Yan Zhang, Xuantong Wang, Yuhao Sun, Chenhui Ning, Shiming Xu, Hengbin An, Dehong Tang, Hong Guo, Hao Yang, Ye Pu, Bo Jiang, and Bin Wang
Geosci. Model Dev., 16, 679–704, https://doi.org/10.5194/gmd-16-679-2023,https://doi.org/10.5194/gmd-16-679-2023, 2023
Short summary

Yan Zhang et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2022-510', Juan Antonio Añel, 11 Aug 2022
    • AC1: 'Reply on CEC1', Shiming Xu, 15 Aug 2022
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 15 Aug 2022
        • AC2: 'Reply on CEC2', Shiming Xu, 21 Aug 2022
  • CEC3: 'Comment on egusphere-2022-510', Juan Antonio Añel, 22 Aug 2022
  • RC1: 'Comment on egusphere-2022-510', Anonymous Referee #1, 24 Aug 2022
    • AC4: 'Reply on RC1', Shiming Xu, 18 Dec 2022
  • RC2: 'Comment on egusphere-2022-510', Anonymous Referee #2, 02 Dec 2022
    • AC3: 'Reply on RC2', Shiming Xu, 17 Dec 2022
  • AC5: 'Summary to the reply of comments on egusphere-2022-510', Shiming Xu, 18 Dec 2022

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on egusphere-2022-510', Juan Antonio Añel, 11 Aug 2022
    • AC1: 'Reply on CEC1', Shiming Xu, 15 Aug 2022
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 15 Aug 2022
        • AC2: 'Reply on CEC2', Shiming Xu, 21 Aug 2022
  • CEC3: 'Comment on egusphere-2022-510', Juan Antonio Añel, 22 Aug 2022
  • RC1: 'Comment on egusphere-2022-510', Anonymous Referee #1, 24 Aug 2022
    • AC4: 'Reply on RC1', Shiming Xu, 18 Dec 2022
  • RC2: 'Comment on egusphere-2022-510', Anonymous Referee #2, 02 Dec 2022
    • AC3: 'Reply on RC2', Shiming Xu, 17 Dec 2022
  • AC5: 'Summary to the reply of comments on egusphere-2022-510', Shiming Xu, 18 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Shiming Xu on behalf of the Authors (19 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
EF by Sarah Buchmann (20 Dec 2022)  Supplement 
ED: Referee Nomination & Report Request started (20 Dec 2022) by Riccardo Farneti
RR by Anonymous Referee #1 (24 Dec 2022)
ED: Publish subject to minor revisions (review by editor) (02 Jan 2023) by Riccardo Farneti
AR by Shiming Xu on behalf of the Authors (11 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Jan 2023) by Riccardo Farneti
AR by Shiming Xu on behalf of the Authors (12 Jan 2023)

Journal article(s) based on this preprint

30 Jan 2023
Ocean Modeling with Adaptive REsolution (OMARE; version 1.0) – refactoring the NEMO model (version 4.0.1) with the parallel computing framework of JASMIN – Part 1: Adaptive grid refinement in an idealized double-gyre case
Yan Zhang, Xuantong Wang, Yuhao Sun, Chenhui Ning, Shiming Xu, Hengbin An, Dehong Tang, Hong Guo, Hao Yang, Ye Pu, Bo Jiang, and Bin Wang
Geosci. Model Dev., 16, 679–704, https://doi.org/10.5194/gmd-16-679-2023,https://doi.org/10.5194/gmd-16-679-2023, 2023
Short summary

Yan Zhang et al.

Viewed

Total article views: 841 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
658 154 29 841 37 6 3
  • HTML: 658
  • PDF: 154
  • XML: 29
  • Total: 841
  • Supplement: 37
  • BibTeX: 6
  • EndNote: 3
Views and downloads (calculated since 28 Jun 2022)
Cumulative views and downloads (calculated since 28 Jun 2022)

Viewed (geographical distribution)

Total article views: 765 (including HTML, PDF, and XML) Thereof 765 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Mar 2023
Download

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

Short summary
We construct a new model, OMARE, that can carry out multi-scale ocean simulation through Adaptive Mesh Refinement. OMARE is based on the refactorization of NEMO with a third-party, high-performance middleware. We report the porting process, as well as experiments of an idealized western-boundary current system. The new model simulates turbulent and temporally varying mesoscale and submesoscale processes through adaptive refinement. Related topics and future work with OMARE are also discussed.