2022: Vorticity-driven Lateral Spread Ensemble Dataset

Description

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. 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.

Date

2022

Items

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2022 Contest Website Archive

This contains an archive of the contest website in both PDF and HTML formats.
2022 Read Me File for the Dataset

Read me file for the dataset
Vorticity-driven Lateral Spread Ensemble Dataset : Headcurve 40

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.
Vorticity-driven Lateral Spread Ensemble Dataset: Backcurve 320

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.
Vorticity-driven Lateral Spread Ensemble Dataset: Backcurve 40

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.
Vorticity-driven Lateral Spread Ensemble Dataset: Backcurve 80

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.
Vorticity-driven Lateral Spread Ensemble Dataset: Headcurve 320

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.
Vorticity-driven Lateral Spread Ensemble Dataset: Headcurve 80

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.
Vorticity-driven Lateral Spread Ensemble Dataset: Valley

This ensemble dataset presents the study of wildfires, and more specifically, the phenomena known as vorticity-driven lateral spread (VLS), in wildfires of mountain and canyon topographies. Simulations names are first tagged with the topographical structure - either mountain or valley. Mountain simulations are then tagged with either head curve or back curve to indicate whether the fire starts as a headfire or a backing fire. For a full description, see the website archive.