Progressive Monte Carlo rendering of atmospheric flow features across scales

  • 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. This paper is associated with a poster winner of a 2016 APS/DFD Milton van Dyke Award for work presented at the DFD Gallery of Fluid Motion. The original poster is available from the Gallery of Fluid Motion, https://doi.org/10.1103/APS.DFD.2016.GFM.P0030
Metadaten
Author:Tobias Günther, Alexander Kuhn, Hans-Christian HegeORCiD, Markus Gross, Holger Theisel
Document Type:Article
Parent Title (English):Physical Review Fluids
Volume:2
First Page:09050-1
Last Page:09050-3
Year of first publication:2017
DOI:https://doi.org/10.1103/PhysRevFluids.2.090502