Near-inertial internal waves;
Energy spectrum;
Filter;
Ocean general circulation model;
SATELLITE-OBSERVATIONS;
CENTRAL-AMERICA;
PACIFIC COAST;
ENERGY FLUX;
WIND JETS;
PART II;
PROPAGATION;
SENSITIVITY;
CLOSURE;
SURFACE;
D O I:
10.1016/j.ocemod.2018.12.004
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Near-inertial internal waves (NIWs) play an important role in furnishing ocean diapycnal mixing. However, parameterization of NIW-induced mixing in high-resolution ocean general circulation models (OGCMs) remains a challenging problem partially due to the lack of appropriate tools for isolating NIWs during the model integration. In this study, we propose two new methods feasible for online isolation of NIWs in high-resolution OGCMs, i.e., the two-step filter and three-step filter. The two-step filter only requires the velocity records to be stored at two time steps. It performs reasonably well in isolating NIWs poleward of 30 degrees if the time step is set as 6 h. By utilizing the velocity information at one additional time step, the three-step filter with a time step of 6 h generally outperforms the two-step filter in the global ocean. Specifically, the three-step filter results in reasonable isolation of NIWs poleward of 15 degrees where the NIW-induced mixing is strongest.
机构:
Laoshan Lab, Qingdao, Peoples R China
Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Ocean Univ China, Key Lab Phys Oceanog, Qingdao, Peoples R ChinaLaoshan Lab, Qingdao, Peoples R China
Sun, Bingrong
Jing, Zhao
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机构:
Laoshan Lab, Qingdao, Peoples R China
Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Ocean Univ China, Key Lab Phys Oceanog, Qingdao, Peoples R ChinaLaoshan Lab, Qingdao, Peoples R China
Jing, Zhao
Yuan, Man
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机构:
Laoshan Lab, Qingdao, Peoples R China
Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Ocean Univ China, Key Lab Phys Oceanog, Qingdao, Peoples R ChinaLaoshan Lab, Qingdao, Peoples R China
Yuan, Man
Yang, Haiyuan
论文数: 0引用数: 0
h-index: 0
机构:
Laoshan Lab, Qingdao, Peoples R China
Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Ocean Univ China, Key Lab Phys Oceanog, Qingdao, Peoples R ChinaLaoshan Lab, Qingdao, Peoples R China
Yang, Haiyuan
Wu, Lixin
论文数: 0引用数: 0
h-index: 0
机构:
Laoshan Lab, Qingdao, Peoples R China
Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China
Ocean Univ China, Key Lab Phys Oceanog, Qingdao, Peoples R ChinaLaoshan Lab, Qingdao, Peoples R China
机构:
Univ Paris 06, UPMC, Sorbonne Univ, LOCEAN IPSL,CNRS,IRD,MNHN, Paris, FranceUniv Paris 06, UPMC, Sorbonne Univ, LOCEAN IPSL,CNRS,IRD,MNHN, Paris, France
Vialard, J.
McPhaden, M. J.
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机构:
NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way Ne, Seattle, WA 98115 USAUniv Paris 06, UPMC, Sorbonne Univ, LOCEAN IPSL,CNRS,IRD,MNHN, Paris, France