Wildfire Data from the IEEE 2022 SciVis Contest

Tasks

This contest was 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 was to encourage submissions to be creative and explore the possibilities when interpreting the data. Both scientific and artistic exploration were rewarded with submissions that combine the two to receive the highest score. 

We encouraged submissions to explore the following questions: 

• How do 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 may include:

• 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).

Data

• Data is available here
• Alternate location
• FTP Host 
• Documentation describing this data