3D visualization of weather radar data by Ernvik, Aron

By Ernvik, Aron

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It is pcappi images from low altitudes, typically around 500 metres, that are sometimes shown in the weather forecasts on Swedish television. The data shown on tv is quantized to around four levels, so a lot of information is stripped away from the eight bit polar volumes before the data enters the Swedish living rooms! 1. And beyond the near and far boundaries, not seen in the 2D figure! Remember, in Figure 7, the generated image is orthogonal to the paper. 23 of 76 Figure 8. A CAPPI (left) and a PCAPPI (right) image, showing data from the same location, time, and altitude (2 500 metres).

Even more accurate interpolation methods may be used1 but the computational price is usually too high - especially when interpolation calculations should be performed for millions of voxels. Most of the times, trilinear interpolation gives good enough results. Figure 14. Trilinear interpolation. 5 Slicing techniques A cross-sectional plane can be extracted from the volume data set. This operation is known as slicing. When the voxels are confined to a regularly spaced grid, the plane normal is parallel to one of the coordinate axes and the plane’s offset from the origin is an integer, all that has to be done is to form an image using the voxels in the plane.

E. the closest available data. In Figure 8, all the data in the right image that is absent in the left one has been extrapolated from the lowest elevation angle. The cappi image is an exact subpart of the pcappi image; more specifically, the centers of a cappi and a pcappi image from the same height look the same. It is pcappi images from low altitudes, typically around 500 metres, that are sometimes shown in the weather forecasts on Swedish television. The data shown on tv is quantized to around four levels, so a lot of information is stripped away from the eight bit polar volumes before the data enters the Swedish living rooms!

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