IEEE 2022 SciVis Contest

Vorticity-driven Lateral Spread Ensemble Data Set

The 2022 SciVis Contest is dedicated to understanding the evolution of wildfires, specifically the vorticity-driven lateral spread phenomena.

The Contest will be co-located with IEEE Vis 2022, October 2022, in Oklahoma, USA.

Make submission here.

Data is available here.

A document describing the data can be found here.

Overview
Wildfire behavior is a result of complex nonlinear interactions between a variety of physical processes and chemical reactions. Understanding the coupling between these components and the ways in which their interactions are influenced by their surrounding environment (e.g. winds, fuels, and topography) is a challenging undertaking. The IEEE SciVis 2022 Contest is focused on the visualization and analysis of simulations of wildfires.

Tasks
This contest is looking for state-of-the-art visualizations to help domain scientists better understand wildfires in general, and more specifically, vorticity-driven lateral spread (VLS). The goal of this contest is to encourage submissions to be creative and explore the possibilities when interpreting the data. Both scientific and artistic exploration will be rewarded with submissions that combine the two to receive the highest score. Explore how different attributes of the terrain and atmosphere impact the spread of wildfires. How does the shape and initial length of the fire impact its progression? How does the slope of the terrain impact its progression? How do topography, wind speed, fuel moisture and fuel type impact the fire? How does the vegetation type and presence of one type versus another better effect the fire?
A list of possible tasks a submission may pursue include but are not limited to:
  • Produce a summary of the data, to describe the ensemble of simulations, a particular simulation or specific details within a simulation.
  • Generate a visual narrative of the events within the time series of one or more simulations.
  • Analyze how the terrain impacts (VLS)
  • Examine the influence of vegetation structure and atmospheric turbulence on VLS
  • Build tools to help explain the VLS phenomena and ways that the different factors (topography, ambient conditions, vegetation) might change the potential of VLS
  • Determine how your analysis and visualizations may help firefighters make decisions (bonus points for fast solutions that help firefighters in the field).

In addition to the overall first, second, and third place winners, awards will be given for the:
  • best report cover visualization
  • best visualization for explaining the VLS phenomena
  • best vector analysis

Contact: Divya Banesh, dbanesh@lanl.gov