1College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, China
2Shenzhen Research Institute, China University of Geosciences, Shenzhen 518057, China
3Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
4Key Laboratory of Engineering Sediment of the Ministry of Transport/National Engineering Laboratory for Port Hydraulic Construction Technology, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China
1College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, China
2Shenzhen Research Institute, China University of Geosciences, Shenzhen 518057, China
3Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
4Key Laboratory of Engineering Sediment of the Ministry of Transport/National Engineering Laboratory for Port Hydraulic Construction Technology, Tianjin Research Institute for Water Transport Engineering, M.O.T., Tianjin 300456, China
Received: 03 Apr 2019 – Accepted for review: 14 May 2019 – Discussion started: 17 May 2019
Abstract. The sea level (SL) variations at the coastal ocean result from multiscale processes and are substantially contributed by the SL changes due to the meteorological forcing. In this study, 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 ocean response calculated using the inverted barometer formula and the dynamic ocean response estimated using the multivariable linear regression involving atmospheric pressure and wind component at the dominant wind orientation. The dominant wind orientation is determined based on the averaged values of the magnitude squared coherences between the adjusted SL and wind at every wind orientation.
The IBR is implemented to estimate the response of the coastal ocean at two stations, E1 and E2 in the Bohai Bay, China. The analysed results indicate that at both E1 and E2, the adjusted SLs are related more to the regional wind, which is the averaged value in the Bohai Bay of the 10 m wind in the ERA-Interim data, than to the local wind; the dominant regional wind orientation is 75°. The estimated response using IBR with the regional meteorological forcing is much closer to the observed values than other methods, including the classical inverted barometer correction, the dynamic atmospheric correction, the multivariable linear regression and the IBR with local forcing, demonstrating that IBR with regional forcing have the best skill in estimating the response. The large deviations between the observed values and the estimated values using IBR with the regional meteorological forcing are mainly due to the remote wind, which is not considered in the IBR. This case study indicates that the IBR is a feasible and relatively effective method to estimate the response of the coastal ocean to the meteorological forcing.
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.
A new methodology, named as IBR, is developed to estimate the response of the coastal ocean to...
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