Changeset 3880
- Timestamp:
- Oct 29, 2006, 1:06:30 PM (18 years ago)
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- 1 edited
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anuga_validation/okushiri_2005/README.txt
r2229 r3880 1 VALIDATION CODE 1 ANUGA VALIDATION AGAINST THE OKUSHIRI ISLAND TSUNAMI WAVETANK EXPERIMENT 2 2 3 This directory contains code conduction a validation of pyvolution aganst a 4 wave tank simulation of the 1993 Okushiri island tsunami as described in the 5 file problem02.doc and URL 6 3 This directory contains code conducting a validation of ANUGA aganst a 4 wave tank simulation of the 1993 Okushiri island tsunami as described at 5 the Third International Conference on Long Wave Runup: 7 6 http://www.cee.cornell.edu/longwave/index.cfm?page=benchmark&problem=2 8 7 9 Run the code lwru2.py with the variable use_variable_mesh = False (at the top 10 of the code) and then extract_timeseries.py to see the results. 8 The original files published at the website and also available in 9 this directory are 11 10 12 If you wish to look at the a more detailed animation, create a mesh 13 using the script create_mesh.py and run lwru2.py again with use_variable_mesh 14 = True. The resulting sww file can be viewed with e.g. Swollen. 11 problem02.doc: A description of the validation problem 12 Benchmark_2_Bathymetry.txt: The digital elevation model 13 Benchmark_2_input.txt: The timeseries applied at the western boundary 14 output_ch5-7-9.xls: Experimental data measured at three gauges 15 16 One derived file is 17 output_ch5-7-9.txt: The Excel file stored as TAB separated ascii text 15 18 16 19 20 The ANUGA scripts to run are 21 22 create_okushiri.py: 23 This script will convert the text files to native 24 ANUGA netcdf formats and also create a suitable triangular mesh. 25 26 run_okushiri.py: 27 This script will run a numerical simulation based on the the bathymetry 28 and the given boundary condition and store the model output in an ANUGA 29 sww file which can be viewed using one of the viewers, e.g. Swollen. 30 31 compare_timeseries.py 32 This script will extract timeseries from the sww file and plot them 33 together with the experimental data provided. Numerical similarity 34 measures will also be computed. 35 36 37 38
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