1 | |
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2 | Physical model time cannot be earlier than 1 Jan 1970 00:00:00. |
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3 | If one wished to recreate scenarios prior to that date it must be done |
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4 | using some relative time (e.g. 0). |
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5 | |
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6 | |
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7 | All spatial data relates to the WGS84 datum (or GDA94) and has been |
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8 | projected into UTM with false easting of 500000 and false northing of |
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9 | 1000000 on the southern hemisphere (0 on the northern). |
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10 | |
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11 | It is currently assumed that all computations take place within one UTM zone. |
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12 | |
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13 | DEMs, meshes and boundary conditions can have different origins within |
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14 | one UTM zone. However, the computation will use that of the mesh. |
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15 | |
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16 | The dataflow is: (See data_manager.py and from scenarios) |
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17 | |
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18 | |
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19 | Simulation scenarios |
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20 | -------------------- |
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21 | |
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22 | |
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23 | Sub directories contain scrips and derived files for each simulation. |
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24 | The directory ../source_data contains large source files such as |
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25 | DEMs provided externally as well as MOST tsunami simulations to be used |
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26 | as boundary conditions. |
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27 | |
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28 | Manual steps are: |
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29 | Creation of DEMs from argcview (.asc + .prj) |
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30 | Creation of mesh from pmesh (.tsh) |
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31 | Creation of tsunami simulations from MOST (.nc) |
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32 | |
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33 | |
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34 | Typical scripted steps are |
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35 | |
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36 | prepare_dem.py: Convert asc and prj files supplied by arcview to |
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37 | native dem and pts formats |
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38 | |
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39 | prepare_pts.py: Convert netcdf output from MOST to an sww file suitable |
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40 | as boundary condition |
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41 | |
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42 | prepare_mesh.py: Merge DEM (pts) and mesh (tsh) using least squares |
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43 | smoothing. The outputs are tsh files with elevation data. |
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44 | |
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45 | run_simulation.py: Use the above together with various parameters to |
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46 | run inundation simluation. |
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47 | |
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48 | |
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49 | |
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50 | |
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