28 Jun 2022
28 Jun 2022
Status: this preprint is open for discussion.

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 Zhang1, Xuantong Wang1, Yuhao Sun2, Chenhui Ning1, Shiming Xu1,3, Hengbin An4, Dehong Tang4, Hong Guo4, Hao Yang4, Ye Pu5, Bo Jiang2, and Bin Wang1,5 Yan Zhang et al.
  • 1Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, China
  • 2Beihang University, Beijing, China
  • 3University Corporation for Polar Research (UCPR), Beijing, China
  • 4Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, China
  • 5State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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.

Yan Zhang et al.

Status: open (extended)

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 reply
    • AC1: 'Reply on CEC1', Shiming Xu, 15 Aug 2022 reply
      • CEC2: 'Reply on AC1', Juan Antonio Añel, 15 Aug 2022 reply
        • AC2: 'Reply on CEC2', Shiming Xu, 21 Aug 2022 reply
  • CEC3: 'Comment on egusphere-2022-510', Juan Antonio Añel, 22 Aug 2022 reply
  • RC1: 'Comment on egusphere-2022-510', Anonymous Referee #1, 24 Aug 2022 reply

Yan Zhang et al.


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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.