Domain Decomposition for a Hybrid Fully 3D Fluid Dynamics and Geophysical Fluid Dynamics Modeling System: A Numerical Experiment on Transient Sill Flow

  • H. S. TangEmail author
  • K. Qu
  • X. G. Wu
  • Z. K. Zhang
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 104)


A modeling system is presented for prediction of multiscale and multiphysics coastal ocean processes, and a numerical experiment is made to evaluate its performance. The system is a hybrid of a fully three dimensional fluid dynamics (F3DFD) model and a geophysical fluid dynamics (GFD) model. In particular, it integrates the Solver for Incompressible Flow on Overset Meshes (SIFOM) and the Finite Volume Coastal Ocean Model (FVCOM) using a domain decomposition method implemented with Chimera grids. In the hybrid SIFOM–FVCOM system, SIFOM is employed to capture small-scale local phenomena, and FVCOM is used to simulate large-scale background coastal flows. Simulation of a transient sill flow demonstrates that, while its performance is promising, the hybrid SIFOM–FVCOM system encounters difficulties in correctly resolving the flow at current front where there is strong unsteadiness and thus it needs further improvement.


Coastal ocean flow Domain decomposition Hybrid SIFOM–FVCOM system Model coupling 



This work is sponsored by Research and Innovative Technology Administration of USDOT through the UTRC program (RFCUNY 49111-15-23). Partial support also comes from NSF (CMMI-1334551) and NJDOT (NJDOT 2010-15). Valuable input on FVCOM from Dr. C.S. Chen is acknowledged. We are grateful to the anonymous reviewer for his/her careful reading of the manuscript and valuable comments.


  1. 1.
    C. Chen, H. Liu, R.C. Beardsley, An unstructured grid, finite-volume, three-dimensional, primitive equation ocean model: application to coastal ocean and estuaries. J. Atmos. Ocean. Technol. 20, 159–186 (2003)CrossRefGoogle Scholar
  2. 2.
    CNN, Tracking the Gulf oil disaster (2010),
  3. 3.
    L. Ge, F. Sotiropoulos, 3D unsteady RANS modeling of complex hydraulic engineering flows. I: numerical model. J. Hydraul. Eng. 131, 800–808 (2005)Google Scholar
  4. 4.
    I.N. Robertson, H.R. Riggs, S.C.S. Yim, Y.L. Young, Lessons from Hurricane Katrina storm surge on bridges and buildings. J. Waterw. Port Coastal Ocean Eng. 133, 463–483 (2007)CrossRefGoogle Scholar
  5. 5.
    H.S. Tang, Study on a grid interface algorithm for solutions of incompressible Navier-Stokes equations. Comput. Fluids, 35, 1372–1383 (2006)CrossRefzbMATHGoogle Scholar
  6. 6.
    H.S. Tang, X.G. Wu, CFD and GFD hybrid approach for simulation of multi-scale coastal ocean flow, iEMS’s 2010 Int. Congress on Environmental Modelling and software, Fifth Biennial Meeting, Ottawa, 5–8 July 2010. In Modelling for Environmental’s Sake, D.A. Swayne et al. (Eds.)Google Scholar
  7. 7.
    H.S. Tang, C. Jones, F. Sotiropoulos, An overset grid method for 3D unsteady incompressible flows. J. Comput. Phys. 191, 567–600 (2003)CrossRefzbMATHGoogle Scholar
  8. 8.
    H.S. Tang, K. Qu, X.G. Wu, An overset grid method for integration of fully 3D fluid dynamics and geophysics fluid dynamics models to simulate multiphysics coastal ocean flows. J. Comput. Phys. 273, 548–571 (2014)MathSciNetCrossRefGoogle Scholar
  9. 9.
    X.G. Wu, H.S. Tang, Coupling of CFD model and FVCOM to predict small-scale coastal flows. J. Hydrodyn. 22, 284–289 (2010)CrossRefGoogle Scholar
  10. 10.
    J.X. Xing, A.M. Davies, On the importance of non-hydrostatic processes in determining tidally induced mixing in sill regions. Continental Shelf Res. 27, 2162–2185 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Civil Engineering, City CollegeThe City University of New YorkNew YorkUSA
  2. 2.Zhejiang Institute of Hydraulics and EstuaryHangzhou, ZhejiangChina
  3. 3.National Key Laboratory of Science and Technology on Aerodynamic Design and ResearchNorthwestern Polytechnical UniversityXian, ShaanxiChina

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