Articles | Volume 16, issue 1
https://doi.org/10.5194/os-16-1-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-16-1-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jan 2020
Research article |
| 06 Jan 2020
| 06 Jan 2020
Seasonal variation of the principal tidal constituents in the Bohai Sea
Daosheng Wang
College of Marine Science and Technology, China University of
Geosciences, Wuhan 430074, China
Southern Marine Science and Engineering Guangdong Laboratory
(Guangzhou), Guangzhou 511458, China
Shenzhen Research Institute, China University of Geosciences,
Shenzhen 518057, China
Haidong Pan
Physical Oceanography Laboratory/CIMST, Ocean University of China
and Qingdao National Laboratory for Marine Science and Technology, Qingdao
266100, China
Guangzhen Jin
School of Marine Sciences, Sun Yat-Sen University and Key Laboratory
of Marine Resources and Coastal Engineering in Guangdong Province, Guangzhou
510275, China
Xianqing Lv
CORRESPONDING AUTHOR
Physical Oceanography Laboratory/CIMST, Ocean University of China
and Qingdao National Laboratory for Marine Science and Technology, Qingdao
266100, China
Related authors
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A new methodology, named as IBR, is developed to estimate the response of the coastal ocean to meteorological forcing. The response is taken as the combination of the static response calculated using inverted barometer formula and the dynamic response estimated using multivariable linear regression. The analysed results in the Bohai Bay indicate that the adjusted sea levels are related more to the regional wind than to the local wind and the IBR is a feasible and relatively effective method.
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State-of-the-art Earth system models simulate the observed sea ice extent relatively well, but this is often due to errors in the dynamic and other processes in the simulated sea ice changes cancelling each other out. We assessed the sensitivity of these processes simulated by the coupled ocean–sea ice model NEMO4.0-SI3 to 18 parameters. The performance of the model in simulating sea ice change processes was ultimately improved by adjusting the three identified key parameters.
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Preprint withdrawn
Short summary
Short summary
A new methodology, named as IBR, is developed to estimate the response of the coastal ocean to meteorological forcing. The response is taken as the combination of the static response calculated using inverted barometer formula and the dynamic response estimated using multivariable linear regression. The analysed results in the Bohai Bay indicate that the adjusted sea levels are related more to the regional wind than to the local wind and the IBR is a feasible and relatively effective method.
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Short summary
This work investigates the seasonal variations of M2, S2, K1, and O1 at E2 and Dalian. At E2, the M2 amplitude and phase lag reach maximum in summer and minimum in winter. The S2 and K1 amplitudes show annual cycles, while the phase lags of S2, K1, and O1 had semi-annual cycles. The seasonal variations at Dalian are different from those at E2, except for M2 phase lag. The seasonal variations at E2 are induced by seasonality of vertical eddy viscosity, while those at Dalian cannot be explained.
This work investigates the seasonal variations of M2, S2, K1, and O1 at E2 and Dalian. At E2,...
