2022 IEEE Scientific Visualization Contest Winner: Multifield Analysis of Vorticity-Driven Lateral Spread in Wildfire Ensembles

被引：0

作者：

Borrelli, Gabriel ^{[1
]}

Hagemann, Lars ^{[2
]}

Steinkuehler, Jannik ^{[2
]}

Derstroff, Adrian ^{[1
]}

Evers, Marina ^{[1
]}

Huesmann, Karim ^{[1
]}

Leistikow, Simon ^{[1
]}

Rave, Hennes ^{[1
]}

Gol, Reyhaneh Sabbagh ^{[1
]}

Linsen, Lars ^{[1
]}

机构：

[1] Univ Munster, Visualizat & Graph Grp, D-48149 Munster, Germany

[2] Univ Munster, D-48149 Munster, Germany

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2024年 / 44卷 / 01期

关键词：

Atmospheric modeling; Data visualization; Mathematical models; Rendering (computer graphics); Fires; Surfaces; Image color analysis; Visual analytics; Wildfires;

D O I：

10.1109/MCG.2023.3310298

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We present an interactive visual analysis tool for analyzing the spread of wildfires and what influences their evolution. Multiple time-varying 3-D scalar and vector fields are investigated and related to each other to identify causes of atypical fire spread. We present a visual analysis approach that allows for a comparative analysis of multiple runs of a simulation ensemble on different levels of detail. Overview visualizations combined with volume renderings and flow visualizations provide an intuitive understanding of the fire spread.

引用

页码：40 / 49

页数：10