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Idealized Channel Problem: Difference between revisions

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This example tests ADCIRC version 55 (and beyond). It tests the simulation of a diurnal tide on a sloping beach with a channel along its centerline (adapted from<ref name=Keith>Roberts, K.J., Dietrich, J.C., Wirasaet, D., Pringle, W.J., Westerink, J.J., 2020. Dynamic Load Balancing for Predictions of Storm Surge and Coastal Flooding. In Preparation, pp.37.</ref>). The test finishes in about 8 minutes in parallel ADCIRC (2 processors) for 6 hours of simulation. Find the test at the [https://github.com/adcirc/adcirc-cg-testsuite/tree/v55/adcirc/adcirc_ideal_channel-2d-parallel GitHub test suite].
This example tests ADCIRC version 55 (and beyond). It tests the simulation of a diurnal tide on a sloping beach with a channel along its centerline (adapted from<ref name=Keith>Roberts, K.J., Dietrich, J.C., Wirasaet, D., Pringle, W.J., Westerink, J.J., 2020. Dynamic Load Balancing for Predictions of Storm Surge and Coastal Flooding. In Preparation, pp.37.</ref>). It tests lateral periodic boundary conditions and the absorption-generation sponge layer<ref name=Pringle>Pringle, W.J., Wirasaet, D., Suhardjo, A., Meixner, J., Westerink, J.J., Kennedy, A.B., Nong, S., 2018. Finite-Element Barotropic Model for the Indian and Western Pacific Oceans: Tidal Model-Data Comparisons and Sensitivities. Ocean Model. 129, 13–38. doi:10.1016/j.ocemod.2018.07.003</ref><ref name=Pringle2>Pringle, W.J., Gonzalez-lopez, J., Joyce, B., Westerink, J.J., van der Westhuysen, A.J., 2019. Baroclinic Coupling Improves Depth-Integrated Modeling of Coastal Sea Level Variations around Puerto Rico and the U.S. Virgin Islands. J. Geophys. Res. Ocean. 124, 2196–2217. doi:10.1029/2018JC014682</ref>. The test finishes in about 8 minutes in parallel ADCIRC (2 processors) for 6 hours of simulation. Find the test at the [https://github.com/adcirc/adcirc-cg-testsuite/tree/v55/adcirc/adcirc_ideal_channel-2d-parallel GitHub test suite].


== Mesh ==  
== Mesh ==  
The mesh is comprised of 64,415 vertices and 127,784 triangular elements, with resolution in the 10-60 m range. The mesh is symmetrical in the east-west direction so that the east and west lateral boundary vertices match for the application of the periodic lateral boundary conditions. An elevation specified boundary condition and generating-absorbing sponge layer is prescribed at the southern end of the domain.
The mesh is comprised of 64,415 vertices and 127,784 triangular elements, with resolution in the 10-60 m range. The mesh is symmetrical in the east-west direction so that the east and west lateral boundary vertices match for the application of the periodic lateral boundary conditions. An elevation specified boundary condition and absorption-generation sponge layer is prescribed at the southern end of the domain.


== Options/Features Tested ==
== Options/Features Tested ==

Revision as of 19:03, 8 June 2020

This example tests ADCIRC version 55 (and beyond). It tests the simulation of a diurnal tide on a sloping beach with a channel along its centerline (adapted from[1]). It tests lateral periodic boundary conditions and the absorption-generation sponge layer[2][3]. The test finishes in about 8 minutes in parallel ADCIRC (2 processors) for 6 hours of simulation. Find the test at the GitHub test suite.

Mesh

The mesh is comprised of 64,415 vertices and 127,784 triangular elements, with resolution in the 10-60 m range. The mesh is symmetrical in the east-west direction so that the east and west lateral boundary vertices match for the application of the periodic lateral boundary conditions. An elevation specified boundary condition and absorption-generation sponge layer is prescribed at the southern end of the domain.

Options/Features Tested

References

  1. Roberts, K.J., Dietrich, J.C., Wirasaet, D., Pringle, W.J., Westerink, J.J., 2020. Dynamic Load Balancing for Predictions of Storm Surge and Coastal Flooding. In Preparation, pp.37.
  2. Pringle, W.J., Wirasaet, D., Suhardjo, A., Meixner, J., Westerink, J.J., Kennedy, A.B., Nong, S., 2018. Finite-Element Barotropic Model for the Indian and Western Pacific Oceans: Tidal Model-Data Comparisons and Sensitivities. Ocean Model. 129, 13–38. doi:10.1016/j.ocemod.2018.07.003
  3. Pringle, W.J., Gonzalez-lopez, J., Joyce, B., Westerink, J.J., van der Westhuysen, A.J., 2019. Baroclinic Coupling Improves Depth-Integrated Modeling of Coastal Sea Level Variations around Puerto Rico and the U.S. Virgin Islands. J. Geophys. Res. Ocean. 124, 2196–2217. doi:10.1029/2018JC014682