GPU-based Particle Flows
Background
Direct flow visualizations can help climate researchers to explore flow characteristics by adjusting parameters and thus controlling the visual output. They provide an intuitive insight into complex flow data sets such as simulated circulations of the atmosphere or the ocean. Recent developments in visualization techniques exploiting programmable features of current graphics processing units (GPUs) have proven to be very powerful. This is especially true for particle-based techniques.This work presents a complete GPU-based particle engine and framework for the real-time visualization of unsteady climate flow data sets. This involves a proper data work flow from the simulation back-end to the visualizer, the handling of non-uniform data grids and, finally, a proper support for the interactive exploration. We evaluate our framework with a South Asian typhoon simulated by the DKRZ Hamburg.
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Papers
| · | N. Cuntz, M. Leidl, A. Kolb, C. Rezk-Salama, M. Böttinger |
| GPU-based Dynamic Flow Visualization for Climate Research Applications | |
| In Proc. Simulation and Visualization, 2007, pages 371-384 | |
| [bib] [pdf] |