Abstract
The simulation of morphodynamical processes with a 3D model requires high horizontal and vertical resolution at least in some parts of the model domain. In particular, all areas with steep bathymetry gradients like tidal rivulets or shipping channels require highly resolved simulations. Since it is not feasible to run the total model domain with the same high resolution everywhere, this problem calls for a multiply nested approach. Still, the amount of grid points necessary for a multiply nested simulation is enormous. Since in shallow areas the influence of wave action on the bottom shear stress becomes important a wave model particularly suitable for shallow water is coupled to the hydrodynamics. The integrated system is implemented on a Linux cluster using the MPI library. Performance results for different types of model coupling are presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Casulli, V., Stelling, G.S.: Numerical Simulation of 3D Quasi-Hydrostatic, Free-Surface Flows. J. Hydraulic Eng. 124, 678–686 (1998)
Schneggenburger, C., Günther, H., Rosenthal, W.: Spectral Wave Modelling with Non-Linear Dissipation: Validation and Application in a Coastal Tidal Environment. Coastal Eng. 41, 201–235 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kapitza, H. (2008). MOPS – A Morphodynamical Prediction System on Cluster Computers. In: Palma, J.M.L.M., Amestoy, P.R., Daydé, M., Mattoso, M., Lopes, J.C. (eds) High Performance Computing for Computational Science - VECPAR 2008. VECPAR 2008. Lecture Notes in Computer Science, vol 5336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92859-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-92859-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92858-4
Online ISBN: 978-3-540-92859-1
eBook Packages: Computer ScienceComputer Science (R0)