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
Yan Zhang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, China
Xuantong Wang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, China
Yuhao Sun
School of Computer Science and Engineering, Beihang University, Beijing, China
Chenhui Ning
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, China
Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, China
Dehong Tang
Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, China
Hong Guo
Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, China
Hao Yang
Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, China
Ye Pu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
School of Computer Science and Engineering, Beihang University, Beijing, China
Bin Wang
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science (DESS), Tsinghua University, Beijing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Viewed
Total article views: 7,521 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
4,186
3,139
196
7,521
301
210
329
HTML: 4,186
PDF: 3,139
XML: 196
Total: 7,521
Supplement: 301
BibTeX: 210
EndNote: 329
Views and downloads (calculated since 28 Jun 2022)
Cumulative views and downloads
(calculated since 28 Jun 2022)
Total article views: 4,418 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,918
1,381
119
4,418
110
126
209
HTML: 2,918
PDF: 1,381
XML: 119
Total: 4,418
Supplement: 110
BibTeX: 126
EndNote: 209
Views and downloads (calculated since 30 Jan 2023)
Cumulative views and downloads
(calculated since 30 Jan 2023)
Total article views: 3,103 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,268
1,758
77
3,103
191
84
120
HTML: 1,268
PDF: 1,758
XML: 77
Total: 3,103
Supplement: 191
BibTeX: 84
EndNote: 120
Views and downloads (calculated since 28 Jun 2022)
Cumulative views and downloads
(calculated since 28 Jun 2022)
Viewed (geographical distribution)
Total article views: 7,521 (including HTML, PDF, and XML)
Thereof 7,207 with geography defined
and 314 with unknown origin.
Total article views: 4,418 (including HTML, PDF, and XML)
Thereof 4,204 with geography defined
and 214 with unknown origin.
Total article views: 3,103 (including HTML, PDF, and XML)
Thereof 3,003 with geography defined
and 100 with unknown origin.
We construct a new ocean model, OMARE, that can carry out multi-scale ocean simulation with adaptive mesh refinement. OMARE is based on the refactorization of NEMO with a third-party, high-performance piece of middleware. We report the porting process and experiments of an idealized western-boundary current system. The new model simulates turbulent and temporally varying mesoscale and submesoscale processes via adaptive refinement. Related topics and future work with OMARE are also discussed.
We construct a new ocean model, OMARE, that can carry out multi-scale ocean simulation with...