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Progressive Monte-Carlo Rendering of Atmospheric Flow Features Across Scales

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  • To improve existing weather prediction and reanalysis capabilities, high-resolution and multi-modal climate data becomes an increasingly important topic. The advent of increasingly dense numerical simulation of atmospheric phenomena, provides new means to better understand dynamic processes and to visualize structural flow patterns that remain hidden otherwise. In the presented illustrations we demonstrate an advanced technique to visualize multiple scales of dense flow fields and Lagrangian patterns therein, simulated by state-of-the-art simulation models for each scale. They provide a deeper insight into the structural differences and patterns that occur on each scale and highlight the complexity of flow phenomena in our atmosphere.
Metadaten
Author:Tobias Günther, Alexander Kuhn, Hans-Christian HegeORCiDGND, Markus Gross, Holger Theisel
Document Type:Poster
Parent Title (English):69th Annual Meeting of the APS Division of Fluid Dynamics, Gallery of Fluid Motion, Nov 20-22, 2016, Portland, OR, USA.
Year of first publication:2016
DOI:https://doi.org/10.1103/APS.DFD.2016.GFM.P0030
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