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
<p>High-resolution models have become widely available for the study of the ocean's small-scale processes. Although these models simulate more turbulent ocean dynamics and reduce uncertainties of parameterizations, they are not practical for long-term simulations, especially for climate s...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-01-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/16/679/2023/gmd-16-679-2023.pdf |
| _version_ | 1797939222556966912 |
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| author | Y. Zhang X. Wang Y. Sun C. Ning S. Xu S. Xu H. An D. Tang H. Guo H. Yang Y. Pu B. Jiang B. Wang B. Wang |
| author_facet | Y. Zhang X. Wang Y. Sun C. Ning S. Xu S. Xu H. An D. Tang H. Guo H. Yang Y. Pu B. Jiang B. Wang B. Wang |
| author_sort | Y. Zhang |
| collection | DOAJ |
| description | <p>High-resolution models have become widely available for the study of the ocean's small-scale processes.
Although these models simulate more turbulent ocean dynamics and reduce 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 Nucleus for European Modelling of the Ocean (NEMO) with the parallel computing framework of JASMIN (J parallel Adaptive Structured Mesh applications INfrastructure).
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<span class="inline-formula"><sup>∘</sup></span> static refinement and the transition from laminar to turbulent, eddy-rich ocean, and (2) the short-term 0.1–0.02<span class="inline-formula"><sup>∘</sup></span> AMR experiments, which focus on submesoscale processes.
Specifically, for the first scenario, we show that the ocean dynamics on the refined, 0.1<span class="inline-formula"><sup>∘</sup></span> region is sensitive to the choice of refinement region within the low-resolution, 0.5<span class="inline-formula"><sup>∘</sup></span> basin.
Furthermore, for the refinement to 0.02<span class="inline-formula"><sup>∘</sup></span>, 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 captured well through AMR.
Related topics and future plans of OMARE, including the upscaling of small-scale processes with AMR, are further discussed for further oceanography studies and applications.</p> |
| first_indexed | 2024-04-10T19:13:11Z |
| format | Article |
| id | doaj.art-3a4e3ef517c24ea69dedb734cc1b125e |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-10T19:13:11Z |
| publishDate | 2023-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-3a4e3ef517c24ea69dedb734cc1b125e2023-01-30T10:38:06ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032023-01-011667970410.5194/gmd-16-679-2023Ocean 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 caseY. Zhang0X. Wang1Y. Sun2C. Ning3S. Xu4S. Xu5H. An6D. Tang7H. Guo8H. Yang9Y. Pu10B. Jiang11B. Wang12B. Wang13Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, ChinaMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, ChinaSchool of Computer Science and Engineering, Beihang University, Beijing, ChinaMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, ChinaMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, ChinaUniversity Corporation for Polar Research (UCPR), Beijing, ChinaInstitute of Applied Physics and Computational Mathematics (IAPCM), Beijing, ChinaInstitute of Applied Physics and Computational Mathematics (IAPCM), Beijing, ChinaInstitute of Applied Physics and Computational Mathematics (IAPCM), Beijing, ChinaInstitute of Applied Physics and Computational Mathematics (IAPCM), Beijing, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaSchool of Computer Science and Engineering, Beihang University, Beijing, ChinaMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China<p>High-resolution models have become widely available for the study of the ocean's small-scale processes. Although these models simulate more turbulent ocean dynamics and reduce 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 Nucleus for European Modelling of the Ocean (NEMO) with the parallel computing framework of JASMIN (J parallel Adaptive Structured Mesh applications INfrastructure). 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<span class="inline-formula"><sup>∘</sup></span> static refinement and the transition from laminar to turbulent, eddy-rich ocean, and (2) the short-term 0.1–0.02<span class="inline-formula"><sup>∘</sup></span> AMR experiments, which focus on submesoscale processes. Specifically, for the first scenario, we show that the ocean dynamics on the refined, 0.1<span class="inline-formula"><sup>∘</sup></span> region is sensitive to the choice of refinement region within the low-resolution, 0.5<span class="inline-formula"><sup>∘</sup></span> basin. Furthermore, for the refinement to 0.02<span class="inline-formula"><sup>∘</sup></span>, 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 captured well through AMR. Related topics and future plans of OMARE, including the upscaling of small-scale processes with AMR, are further discussed for further oceanography studies and applications.</p>https://gmd.copernicus.org/articles/16/679/2023/gmd-16-679-2023.pdf |
| spellingShingle | Y. Zhang X. Wang Y. Sun C. Ning S. Xu S. Xu H. An D. Tang H. Guo H. Yang Y. Pu B. Jiang B. Wang B. Wang 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 Geoscientific Model Development |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | https://gmd.copernicus.org/articles/16/679/2023/gmd-16-679-2023.pdf |
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