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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<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>). 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 == | ||
Revision as of 18:55, 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]). 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 was generated using the OceanMesh2D Alaska Example_8_AK.m. The domain encompasses the Gulf of Alaska, Bering Sea, and Chukchi Sea with a minimum resolution of 5 km, comprised of 15,876 vertices and 27,757 triangular elements.
Options/Features Tested
IM= 111112: Uses the explicit scheme (computational time step is 2 seconds).A00, B00, C00= 0.0, 1.0, 0.0: Must be used with explicit scheme.NOUTGE= 5: Outputs the global elevations into a netCDF4 fort.63 file.NOUTGV= 5: Outputs the global velocities into a netCDF4 fort.64 file.NOUTGM= 5: Outputs the global meteorology into a netCDF4 fort.73 file (pressure) and a netCDF4 fort.74 file (velocity).- sponge_generator_layer: Spatially varying linear wave drag fort.13 file attribute accounting for energy conversion due to internal tide generation in the deep ocean.
References
- ↑ 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.