Skip to main content
Log in

3D numerical computation of the tidally induced Lagrangian residual current in an idealized bay

  • Published:
Ocean Dynamics Aims and scope Submit manuscript

Abstract

A numerical model that solves 3D first-order Lagrangian residual velocity (uL) equations is established by modifying the HAMSOM model. With this model, uL is studied in a wide, idealized bay. The results show that the vertical eddy viscosity term of Stokes’ drift (π1) in the tidal body force determines the overall flow state of uL, and the contribution of the advection term (π2) is responsible for the small correction. In addition, two types of Coriolis effects introduced into the residual current system not only enhance the lateral flow and break the symmetry of the flow regime in the bay but also slightly correct the flow state driven by the entire tidal body force. It is also found by numerical sensitivity experiments that the increase in the aspect ratio δ, implying a decrease in the topographic gradient, can simplify the residual flow state. The increase in tidal amplitude at the open boundary significantly enhances the intensity of uL and causes the residual flow regime to be more complicated in the bay. This can be ascribed to the disproportionate increase in the tidal body force. The proportion of the vertical eddy viscosity term of Stokes’ drift in the tidal body force also varies with the vertical eddy viscosity coefficient, which leads to different residual current states. Compared with the influence of incoming tidal strength on the residual current, the effect of the bottom friction coefficient on the residual current is relatively mild. An increase in the quadratic bottom friction coefficient induces an unbalanced decrease in the tidal body force. Therefore, uL decreases, but the flow regime is more complex. The influence of the nonlinear effect of the bottom friction decreases from the bay head towards the bay mouth. The residual current only changes in magnitude near the bay mouth but changes in pattern near the bay head for different bottom friction coefficients. By keeping the bottom friction coefficient in the zeroth-order tidal equations constant, the sensitivity experiment shows that uL is insensitive to the change in bottom friction coefficient in the governing equations of uL.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Abbott MR (1960) Boundary layer effects in estuaries. J Mar Res 18:83–100

    Google Scholar 

  • Backhaus JO (1985) A three-dimensional model for the simulation of shelf sea dynamics. Deutsche Hydrografische Zeitschrift 38:165–187

    Article  Google Scholar 

  • Basdurak NB, Valle-Levinson A (2012) Influence of advective accelerations on estuarine exchange at a Chesapeake Bay tributary. J Phys Oceanogr 42:1617–1634

    Article  Google Scholar 

  • Burchard H, Schuttelaars HM (2012) Analysis of tidal straining as driver for estuarine circulation in well-mixed estuaries. J Phys Oceanogr 42:261–271

    Article  Google Scholar 

  • Carballo R, Iglesias G, Castro A (2009) Residual circulation in the Ría de Muros (NW Spain): a 3D numerical model study. J Mar Systs 75:116–130

    Article  Google Scholar 

  • Cheng RT, Casulli V (1982) On Lagrangian residual currents with applications in South San Francisco Bay. Water Resour Res 18:1652–1662

    Article  Google Scholar 

  • Cheng P, Valle-Levinson A, De Swart HE (2010) Residual currents induced by asymmetric tidal mixing in weakly stratified narrow estuaries. J Phys Oceanogr 40:2135–2147

    Article  Google Scholar 

  • Deng FJ, Jiang WS, Feng SZ (2017) The nonlinear effects of the eddy viscosity and the bottom friction on the Lagrangian residual velocity in a narrow model bay. Ocean Dyn 67:1105–1118

    Article  Google Scholar 

  • Feng SZ (1987) A three-dimensional weakly nonlinear model of tide-induced Lagrangian residual current and mass-transport, with an application to the Bohai Sea. In: Nihoul JCJ, Jamart BM (eds) Three-dimensional models of marine and estuarine dynamics, Elsevier oceanography series 45. Elsevier, Amsterdam, pp 471–488

    Chapter  Google Scholar 

  • Feng SZ, Cheng RT, Xi PG (1986a) On tide-induced Lagrangian residual current and residual transport, 1. Lagrangian residual current. Water Resour Res 22:1623–1634

    Article  Google Scholar 

  • Feng SZ, Cheng RT, Xi PG (1986b) On tide-induced Lagrangian residual current and residual transport, 2. Residual transport with application in South San Francisco Bay. Water Resour Res 22:1635–1646

    Article  Google Scholar 

  • Feng SZ, Xi PG, Zhang SZ (1984) The baroclinic residual circulation in shallow seas. Chin J Oceanol Limnol 2:49–60

    Article  Google Scholar 

  • Fischer HB, List EJ, Koh R, Imberger J, Brooks NH (1979) Mixing in inland and coastal waters. Academic, New York

    Google Scholar 

  • Huijts KMH, Schuttelaars HM, de Swart HE, Friedrichs CT (2009) Analytical study of the transverse distribution of along-channel and transverse residual flows in tidal estuaries. Cont Shelf Res 29:89–100

    Article  Google Scholar 

  • Jiang WS, Feng SZ (2011) Analytical solution for the tidally induced Lagrangian residual current in a narrow bay. Ocean Dyn 61:543–558

    Article  Google Scholar 

  • Jiang WS, Feng SZ (2014) 3D analytical solution to the tidally induced Lagrangian residual current equations in a narrow bay. Ocean Dyn 64(8):1073–1091

    Article  Google Scholar 

  • Lei K, Sun WX, Liu GM (2004) Numerical study of the circulation in the Yellow Sea and East China Sea IV: diagnostic calculation of the baroclinic circulation. J Ocean University of China 34(6):937–941

    Google Scholar 

  • Leveque R (2007) Finite difference methods for ordinary and partial differential equations: steady-state and time-dependent problems. Society for Industrial and Applied Mathematics, Philadelphia

    Book  Google Scholar 

  • Li CY, Chen CS, Guadagnoli D, Georgiou IY (2008) Geometry-induced residual eddies with curved channels: observations and modeling studies. J Geophys Res 113:C01005. https://doi.org/10.1029/2006JC004031

    Google Scholar 

  • Li CY, O’Donnell J (1997) Tidally driven residual circulation in shallow estuaries with lateral depth variation. J Geophys Res 102(C13):27915–27929

    Article  Google Scholar 

  • Li CY, O’Donnell J (2005) The effect of channel length on the residual circulation in tidally dominated channels. J Phys Oceanogr 35:1826–1840

    Article  Google Scholar 

  • Liu GL, Liu Z, Gao HW, Gao ZX, Feng SZ (2012) Simulation of the Lagrangian tide-induced residual velocity in a tide-dominated coastal system: a case study of Jiaozhou Bay. China Ocean Dyn 62:1443–1456

    Article  Google Scholar 

  • Liu GM, Sun WX, Lei K, Jiang WS (2002) A numerical study of circulation in the Huanghai Sea and East China Sea Ш: numerical simulation of barotropic circulation. J Ocean University of Qingdao 32(1):1–8

    Google Scholar 

  • Longuet-Higgins MS (1969) On the transport of mass by time-varying ocean currents. Deep-Sea Res 16:431–447

    Google Scholar 

  • Lopes JF, Dias JM (2007) Residual circulation and sediment distribution in the Ria de Aveiro lagoon, Portugal. J Mar Syst 68:507–528

    Article  Google Scholar 

  • Moore D (1970) The mass transport velocity induced by free oscillations at a single frequency. Geophysical Fluid Dynamics 1:237–247

    Article  Google Scholar 

  • Muller H, Blanke B, Dumas F, Lekien F, Mariette V (2009) Estimating the Lagrangian residual circulation in the Iroise Sea. J Mar Syst 78:S17–S36

    Article  Google Scholar 

  • Nihoul ICJ, Ronday FC (1975) The influence of the tidal stress on the residual circulation. Tellus A 27:484–489

    Article  Google Scholar 

  • Pohlmann T (1996) Predicting the thermocline in a circulation model of the North Sea part I: model description, calibration and verification. Cont Shelf Res 16(2):131–146

    Article  Google Scholar 

  • Pohlmann T (2006) A meso-scale model of the central and southern North Sea: consequences of an improved resolution. Cont Shelf Res 26(19):2367–2385

    Article  Google Scholar 

  • Quan Q, Mao XY, Jiang WS (2014) Numerical computation of the tidally induced Lagrangian residual current in a model bay. Ocean Dyn 64:471–486

    Article  Google Scholar 

  • Roache PJ (1976) Computational fluid dynamics. Hermosa Publishers, New Mexico

  • Robinson IS (1983) Tidally induced residual flows. In: Johns B (ed) Physical oceanography of coastal and shelf seas. Elsevier, Amsterdam, pp 321–356

    Chapter  Google Scholar 

  • Salas-de-León DA, Carbajal-Pérez N, Monreal-Gómez MA, Barrientos- MacGregor G (2003) Residual circulation and tidal stress in the Gulf of California. J Geophys Res 108(C10):3317. https://doi.org/10.1029/2002JC001621

    Article  Google Scholar 

  • Sun WX (1987) A further study of ultra-shallow water storm surge model. J Shandong College of Oceanology 17(1):34–45

    Google Scholar 

  • Sun WX, Liu GM, Jiang WS, Wang H, Zhang P (2000) The numerical study of circulation in the Yellow Sea and East China Sea I. The numerical circulation model in the Yellow Sea and East China Sea. J Ocean University of Qingdao 30(3):369–375

    Google Scholar 

  • Sun WX, Liu GM, Lei K, Jiang WS, Zhang P (2001) A numerical study on circulation in the Yellow and East China Sea II numerical simulation of tide and tide-induced circulation. J Ocean University of Qingdao 31(3):297–304

    Google Scholar 

  • Wang JX, Gao HW, Lei K, Sun WX (2006) Numerical study of the circulations in the Yellow Sea and East China Sea V: dynamic adjustment of the baroclinic circulation. J Ocean University of China 36(Sup.II):001–006

    Google Scholar 

  • Wang H, Shu ZQ, Feng SZ, Sun WX (1993) A three-dimensional numerical calculation of the wind-driven thermohaline and tide-induced Lagrangian residual current in the Bohai Sea. Acta Oceanol Sin 12(2):169–182

    Google Scholar 

  • Winant CD (2008) Three-dimensional residual tidal circulation in an elongated, rotating basin. J Phys Oceanogr 38:1278–1295

    Article  Google Scholar 

  • Zimmerman JTF (1979) On the Euler-Lagrange transformation and the Stokes’ drift in the presence of oscillatory and residual currents. Deep-Sea Res 26A:505–520

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to express sincerest thanks to the anonymous reviewers for their comments.

Funding

This study was supported by the National Natural Science Foundation of China (41676003) and the NSFC Shandong Joint Fund for Marine Science Research Centers (Grant U1606402).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wensheng Jiang.

Additional information

Responsible Editor: Richard John Greatbatch

Appendix. The difference schemes of each term in Eqs. 23 and 24

Appendix. The difference schemes of each term in Eqs. 23 and 24

The index sequences k, i, and j are grid numbers along the x-, y-, and z-directions, respectively. The grid numbers k, i, and j in three directions increase from west to east, north to south, and top to bottom, respectively.

The difference scheme of each term in Eq. 23 is listed as follows.

$$ -\underset{z}{\overset{z+\varDelta h}{\int }}\frac{\partial }{\partial z}\left(\upsilon \frac{\partial \left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}{\partial z}\right) dz=\upsilon \frac{\partial \left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}{\partial z}{\left|{}_z-\upsilon \frac{\partial \left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}{\partial z}\right|}_{z+\varDelta h} $$

The difference scheme of Stokes’ drift in the x-direction at grid point (j, i, k) is

$$ {\displaystyle \begin{array}{l}{\left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}_{j,i,k}={0.5}^{\ast }{\xi}_{0j,i,k}\left[{u}_{0,j,i,k+1}-{u}_{0,j,i,k-1}\right]/\varDelta x\\ {}\kern1.7em +{0.125}^{\ast }{\left[{\eta}_{0,j,i,k}+{\eta}_{0,j,i,k+1}+{\eta}_{0,j,i-1,k+1}+{\eta}_{0,j,i-1,k}\right]}^{\ast}\left[{u}_{0,j,i-1,k}-{u}_{0,j,i+1,k}\right]/\varDelta y\\ {}\kern1.7em +{0.125}^{\ast}\left[{\varsigma}_{0,j,i,k}+{\varsigma}_{0,j,i,k+1}+{\varsigma}_{0,j+1,i,k}+{\varsigma}_{0,j+1,i,k+1}\right]\ast \left[{u}_{0,j-1,i,k}-{u}_{0,j+1,i,k}\right]/\varDelta h\end{array}} $$

Then, the difference scheme of the first term in Eq. 23 at any point in time is

$$ -\underset{z}{\overset{z+\varDelta h}{\int }}\frac{\partial }{\partial z}\left(\upsilon \frac{\partial \left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}{\partial z}\right) dz={\upsilon}^{\ast}\left({2}^{\ast }{\left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}_{j,i,k}-{\left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}_{j+1,i,k}-{\left({\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {u}_0\right)}_{j-1,i,k}\right)/\varDelta h $$

The second term in Eq. 23 can be adapted for the finite difference as follows

$$ -\underset{z}{\overset{z+\varDelta h}{\int }}{\mathbf{u}}_{\mathbf{0}}\cdot \nabla {u}_0 dz=-\underset{z}{\overset{z+\varDelta h}{\int }}\left(\frac{\partial {u}_0{u}_0}{\partial x}+\frac{\partial {u}_0{v}_0}{\partial y}+\frac{\partial {u}_0{w}_0}{\partial z}\right) dz $$
$$ {\left.={u}_0{w}_0\right|}_{z+\varDelta h}^z-\varDelta h\left({u}_0\frac{\partial {u}_0}{\partial x}+{u}_0\frac{\partial {u}_0}{\partial x}+{u}_0\frac{\partial {v}_0}{\partial y}+{v}_0\frac{\partial {u}_0}{\partial y}\right) $$
$$ =-\varDelta h{u}_0\frac{\partial {u}_0}{\partial x}-\varDelta h{v}_0\frac{\partial {u}_0}{\partial y}+\varDelta h{u}_0\frac{\partial {w}_0}{\partial z}+{u}_0{w}_0{\left|{}_z-{u}_0{w}_0\right|}_{z+\varDelta h} $$

The difference scheme of each term at grid point (j, i, k) is

$$ {\left(-h{u}_0\frac{\partial {u}_0}{\partial x}\right)}_{j,i,k}={0.5}^{\ast }{\varDelta h}^{\ast}\kern0.1em {u_{0,j,i,k}}^{\ast}\left[{u}_{0j,i,k-1}-{u}_{0,j,i,k+1}\right]/\varDelta y $$
$$ {\left(-h{v}_0\frac{\partial {u}_0}{\partial y}\right)}_{j,i,k}={0.125}^{\ast }{\varDelta h}^{\ast}\kern0.1em {\left[{v}_{0,j,i,k}+{v}_{0,j,i,k+1}+{v}_{0,j,i,k+1}+{v}_{0,j,i,k+1}\right]}^{\ast}\left[{u}_{0,j,i-1,k}-{u}_{0,j,i+1,k}\right]/\varDelta y $$
$$ {\left(h{u}_0\frac{\partial {w}_0}{\partial z}\right)}_{j,i,k}={0.5}^{\ast}\kern0.1em {u_{0,j,i,k}}^{\ast}\left[{w}_{0,j,i,k}+{w}_{0,j,i,k+1}-{w}_{0,j+1,i,k}-{w}_{0,j+1,i,k+1}\right] $$
$$ {\left.{\left({u}_0{w}_0\right)}_{j,i,k}={u}_0{w}_0\right|}_z={0.125}^{\ast}\kern0.1em {\left[{u}_{0j,i,k}+{u}_{0,j-1,i,k}\right]}^{\ast}\left[{w}_{0j,i,k}+{w}_{0,j,i,k+1}\right] $$
$$ {\left.{\left({u}_0{w}_0\right)}_{j-1,i,k}={u}_0{w}_0\right|}_{z+\varDelta h}={0.125}^{\ast}\kern0.1em {\left[{u}_{0j+1,i,k}+{u}_{0j,i,k}\right]}^{\ast}\left[{w}_{0j+1,i,k}+{w}_{0j+1,i,k+1}\right] $$

Then, the difference scheme of the second term in Eq. 23 at any point in time is

$$ -\underset{z}{\overset{z+\varDelta h}{\int }}{\mathbf{u}}_{\mathbf{0}}\cdot \nabla {u}_0 dz={\left(-\varDelta h{u}_0\frac{\partial {u}_0}{\partial x}\right)}_{j,i,k}+{\left(-\varDelta h{v}_0\frac{\partial {u}_0}{\partial y}\right)}_{j,i,k}+{\left(\varDelta h{u}_0\frac{\partial {w}_0}{\partial z}\right)}_{j,i,k}+{\left({u}_0{w}_0\right)}_{j,i,k}-{\left({u}_0{w}_0\right)}_{j-1,i,k} $$

The third term in Eq. 23 can be adapted for the finite difference as follows

$$ -\underset{z}{\overset{z+\varDelta h}{\int }}{f}^{\ast }{\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {v}_0\kern0.2em dz=-f\underset{z}{\overset{z+\varDelta h}{\int }}\left(\frac{\partial {\xi}_0{v}_0}{\partial x}+\frac{\partial {\eta}_0{v}_0}{\partial y}+\frac{\partial {\varsigma}_0{v}_0}{\partial z}\right) dz $$
$$ {\left.=f{v}_0{\varsigma}_0\right|}_{z+\varDelta h}^z- f\varDelta h\left({\xi}_0\frac{\partial {v}_0}{\partial x}+{\eta}_0\frac{\partial {v}_0}{\partial y}+{v}_0\frac{\partial {\xi}_0}{\partial x}+{v}_0\frac{\partial {\eta}_0}{\partial y}\right) $$
$$ =- f\varDelta h{\xi}_0\frac{\partial {v}_0}{\partial x}- f\varDelta h{\eta}_0\frac{\partial {v}_0}{\partial y}+ f\varDelta h{v}_0\frac{\partial {\varsigma}_0}{\partial z}+f{v}_0{\varsigma}_0{\left|{}_z-f{v}_0{\varsigma}_0\right|}_{z+\varDelta h} $$

The difference scheme of each term at grid point (j, i, k) is

$$ {\left(- f\varDelta h{\xi}_0\frac{\partial {v}_0}{\partial x}\right)}_{j,i,k}={0.5}^{\ast }{f}^{\ast }{h_j}^{\ast }{\xi_{0,j,i,k}}^{\ast}\kern0.1em \left[{v}_{0j,i,k}+{v}_{0j,i-1,k}-{v}_{0j,i,k+1}-{v}_{0j,i-1,k+1}\right]/\varDelta x\kern0.1em $$
$$ {\displaystyle \begin{array}{l}{\left(- f\varDelta h{\eta}_0\frac{\partial {v}_0}{\partial y}\right)}_{j,i,k}={0.125}^{\ast }{f}^{\ast }{h_j}^{\ast}\kern0.1em \left[{v}_{0,j,i,k}+{v}_{0,j,i,k+1}-{v}_{0,j,i-1,k+1}-{v}_{0,j,i-1,k}\right]\\ {}{\kern0.1em }^{\ast}\left[{\eta}_{0,j,i,k}+{\eta}_{0,j,i,k+1}+{\eta}_{0,j,i-1,k+1}+{\eta}_{0,j,i-1,k}\right]/\varDelta y\end{array}} $$
$$ {\displaystyle \begin{array}{l}{\left( f\varDelta h{v}_0\frac{\partial {\varsigma}_0}{\partial z}\right)}_{j,i,k}={0.125}^{\ast }{f}^{\ast}\kern0.1em \left[{v}_{0,j,i,k}+{v}_{0,j,i,k+1}+{v}_{0,j,i-1,k}+{v}_{0,j,i-1,k+1}\right]\\ {}{\kern0.1em }^{\ast}\left[{\varsigma}_{0,j,i,k}+{\varsigma}_{0,j,i,k+1}-{\varsigma}_{0,j+1,i,k}-{\varsigma}_{0,j+1,i,k+1}\right]/\varDelta z\end{array}} $$
$$ {\displaystyle \begin{array}{l}{\left(f{v}_0{\varsigma}_0\right)}_{j,i,k}={0.0625}^{\ast }{f}^{\ast}\kern0.1em \Big[{v}_{0,j,i,k}+{v}_{0,j,i,k+1}+{v}_{0,j,i-1,k}+{v}_{0,j,i-1,k+1}+{v}_{0,j-1,i,k}+{v}_{0,j-1,i,k+1}\\ {}+{v}_{0,j-1,i-1,k}+{v}_{0,j-1,i-1,k+1}\Big]\ast \left[{\varsigma}_{0,j,i,k}+{\varsigma}_{0,j,i,k+1}\right]\end{array}} $$
$$ {\displaystyle \begin{array}{c}{\left(f{v}_0{\varsigma}_0\right)}_{j-1,i,k}={0.0625}^{\ast }{f}^{\ast}\kern0.1em \Big[{v}_{0,j,i,k}+{v}_{0,j,i,k+1}+{v}_{0,j,i-1,k}+{v}_{0,j,i-1,k+1}+{v}_{0,j+1,i,k}+{v}_{0,j+1,i,k+1}\\ {}\kern0.5em +{v}_{0,j+1,i-1,k}+{v}_{0,j+1,i-1,k+1}\Big]\left[{\varsigma}_{0,j+1,i,k}+{\varsigma}_{0,j+1,i,k+1}\right]\end{array}} $$

Then, the difference scheme of the third term in Eq. 23 at any point in time is

$$ -\underset{z}{\overset{z+\varDelta h}{\int }}{f}^{\ast }{\boldsymbol{\upxi}}_{\mathbf{0}}\cdot \nabla {v}_0\kern0.2em dz $$
$$ ={\left(- f\varDelta h{\xi}_0\frac{\partial {v}_0}{\partial x}\right)}_{j,i,k}+{\left(- f\varDelta h{\eta}_0\frac{\partial {v}_0}{\partial y}\right)}_{j,i,k}+{\left( f\varDelta h{v}_0\frac{\partial {\varsigma}_0}{\partial z}\right)}_{j,i,k}+{\left(f\;{v}_0{\varsigma}_0\right)}_{j,i,k}-{\left(f\;{v}_0{\varsigma}_0\right)}_{j-1,i,k} $$

Finally, the three terms in Eq. 23 are averaged in a tidal period. Then, the difference scheme of the x-direction tidal body force is obtained.

Similarly, the difference scheme of each term in Eq. 24 can also be obtained, which are omitted here for brevity.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cui, Y., Jiang, W. & Deng, F. 3D numerical computation of the tidally induced Lagrangian residual current in an idealized bay. Ocean Dynamics 69, 283–300 (2019). https://doi.org/10.1007/s10236-018-01243-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10236-018-01243-1

Keywords

Navigation