Application of uncertainty visualization methods to meteorological trajectories

— We present applications of uncertainty visualization methods to a global meteorological model, allowing better understanding of the composition of the local environment of developing hurricanes. Our work enables efficient visual pruning of unlikely results, especially in regions of atmospheric shear. We derive bounds on advection uncertainty due to interpolation and incorporate this uncertainty into our visualization of trajectories, facilitating visual pruning. By identifying trajectories that indicate a protection of storm's core from outside influence, we also attempt to corroborate the viability of a recently devised meteorological theory that hurricanes develop in protected, "marsupial" pouches.

• Type: Journal
• Year: 2010
• Where: ESI
• Authors: Ryan A. Boller, Scott A. Braun, Jadrian Miles, David H. Laidlaw
• Keywords: Efficient Visual Pruning, ESI 2010, Global Meteorological Model, Uncertainty Visualization Methods