| | 1 | = Visualization and animating of Pan European Climate Simulation with the WRF Model using ParaView Python-Scripting = |
| | 2 | |
| | 3 | == Data == |
| | 4 | In this example, one data file containing 12 timesteps was given. The file is stored at /arch/software/grafprod/data/slts.fz-juelich.de/k.goergen/WRF_initial_example/wrf_rv025_r07_test.wrfout_3km.20100702130000-20100703000000.nc in netCDF format. As netCDF 3 is used, the file had to be converted to netCDF 4 (which is hdf5) via "nccopy -k 4 foo3.nc foo4c.h5". |
| | 5 | |
| | 6 | == Variables of Interest == |
| | 7 | === 3D Scalar Variables === |
| | 8 | The 3D variables are located on a grid of size 49x1552x1600. As for each variable all 12 timesteps are stored in one hdf5 array, the size of this array is 12x49x1552x1600, obviously. |
| | 9 | Here is a list of interesting scalar variables: |
| | 10 | |
| | 11 | * CLDFRA: Cloud Fraction (values from 0 to 1) |
| | 12 | * QNICE: Ice Number concentration (values from -1.1e-8 to 1.3e6, good value for visualisation: 10000) |
| | 13 | * QNRAIN: Rain Number concentration (values from -3e-5 to 620000, good value for visualisation: 5000) |
| | 14 | * QVAPOR: Water vapor mixing ratio (values from -0.0043 bis 0.0207, good value for visualisation: 0.005) |
| | 15 | |
| | 16 | === 3D Vector Variables === |
| | 17 | The wind components are stored on a staggered grid. Please note, that therefore the array size of those components vary along one axis |
| | 18 | Vector Components: |
| | 19 | * U: x-wind component (12 x 49 x 1552 x 1601) |
| | 20 | * V: y-wind component (12 x 49 x 1553 x 1600) |
| | 21 | * w: z-wind component (12 x 50 x 1552 x 1600) |
| | 22 | |
| | 23 | === 2D Scalar Variables === |
| | 24 | There are also a couple of surface related 2D variables includes in the data, located on a grid of size 12x1552x1600. |
| | 25 | Some examples: |
| | 26 | * HGT: Terrain Height |
| | 27 | * LH: Latent Heat Flux at the Surface |
