Coastal sea level variability in the Bohai Bay: influence of atmospheric forcing and prediction

Lü, Xianqing; Wang, Daosheng; Yan, Bing; Yang, Hua

doi:10.1007/s00343-019-7383-y

Cited by 7 publications

(22 citation statements)

References 23 publications

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“…Calafat and Chambers (2013) found that a multivariable linear regression (MLR) involving local wind and AP can account for a substantial fraction of the annual SL variation at the Boston and New York tide gauges. When the MLR involving the local wind and AP was implemented, Lv et al (2018) found that the response of the coastal ocean to AP had the similar form to the IB correction and the estimated results were much closer to the observations than those using only wind or IB correction or combination of them.…”

mentioning

confidence: 78%

“…As shown in Sandstrom (1980), Hsueh and Romea (1983), Castro and Lee (1995) and Lv et al (2018), the response of the coastal ocean to meteorological forcing is mainly at low frequencies and is the combination of the following two main components (Piecuch et al, 2016):…”

Section: Methodology For Estimating the Response Of The Coastal Oceanmentioning

confidence: 99%

“…However, the dynamic ocean response in the DAC, estimated using the simulated results by numerical model, may not be accurate in the coastal and shallow area, as the resolution of topography data is not always high enough; on the contrary, the regression analysis is not affected by the resolution of topography data. The response of the ocean to meteorological forcing, including AP and wind, is approximately linear (Li and Yang, 1983), as demonstrated in Calafat and Chambers (2013) and Lv et al (2018), so the dynamic ocean response can be estimated using the linear combination of AP and wind. As the static and dynamic ocean responses are linear in the meteorological forcing, the low-frequency AP and low-frequency wind will be used to estimate the ocean response to avoid introducing the high-frequency signals into the estimated low-frequency SL.…”

Section: Methodology For Estimating the Response Of The Coastal Oceanmentioning

confidence: 99%

“…The classical IB formulates the static response of the ocean to AP forcing, and the wind effects are totally ignored (Carrè re and Lyard, 2003). However, the coastal ocean response is different from the IB response in shallow water and the influence of the wind forcing cannot be ignored (Carrè re and Lyard, 2003;Lv et al, 2018).…”

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confidence: 99%

“…The purpose of this paper is to present a new methodology, in which the response of the coastal ocean to the meteorological forcing is estimated using the combination of the static ocean response, which is calculated using IB correction, and the dynamic ocean response, which is estimated using regression analysis, and to demonstrate the feasibility and effectivity of this new method. Besides the local meteorological forcing as shown in Lv et al (2018), the influence of the regional meteorological forcing will also be considered in this study; in addition, the low-pass wind and AP are used in the regression analysis in this study, rather than the original forcing as used in Lv et al (2018). The details of the rest of the paper are as follows: the new methodology and data are shown in section 2; the estimated response of the coastal ocean to the meteorological forcing in the Bohai Bay is shown in section 3; the comparisons with the other methods and the reason for the large deviations in the estimated results are discussed in section 4; and the conclusions can be found in section 5.…”

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confidence: 99%

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A methodology for estimating the response of the coastal ocean to meteorological forcing: A case study in the Bohai Bay

Wang

Pan

et al. 2019

Preprint

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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.

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confidence: 78%