共 50 条
Effects of numerical model's horizontal resolution on the vertical transport of near-inertial energy
被引:3
|作者:
Lu, Xiaojie
[1
,2
,6
]
Dong, Changming
[1
,2
,3
]
Xu, Zhenhua
[4
,5
]
Yang, Jingsong
[2
,6
]
Zhang, Han
[2
,6
]
Wang, Dongxia
[7
]
Chen, Dake
[2
,6
]
机构:
[1] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Ocean Modeling & Observat Lab, Nanjing 210044, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 510045, Peoples R China
[3] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[4] Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
[5] Chinese Acad Sci, Key Lab Ocean Circulat & Waves KLOCAW, Qingdao 266071, Peoples R China
[6] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Peoples R China
[7] CSSC Haizhuang Windpower Co Ltd, Chongqing 401147, Peoples R China
基金:
美国国家科学基金会;
关键词:
Energy transport;
Near -inertial internal waves;
Model resolution;
Typhoon Kalmaegi (2014);
HURRICANES KATRINA;
TIDAL ENERGY;
WAVE WAKE;
TYPHOON;
CIRCULATION;
DISSIPATION;
KUROSHIO;
SURFACE;
DRIVEN;
D O I:
10.1016/j.dsr2.2022.105223
中图分类号:
P7 [海洋学];
学科分类号:
0707 ;
摘要:
Reproducing kinetic energy transport from the wind (mostly near inertial kinetic energy, NIKE) to the interior ocean is one of the most important issues in climate change numerical studies. Data recorded by two buoys in the South China Sea, which survived Typhoon Kalmaegi (2014), show that the NIKE can be transported into the deeper ocean in an anticyclonic rather than in a cyclonic eddy. Numerical experiments with three horizontal resolutions reveal that the increase in the model resolution enhances the enstrophy and advection, deepening NIKE transport and better reproducing the NIKE vertical distribution as observed. The present study finds that the horizontal resolution of a model can significantly impact the depth towards which the NIKE can be trans-ported, further implicating that the increase of the model resolution is an essential step to improve the accuracy of a climate model.
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