TY - JOUR
T1 - State of the art in flow visualization in the environmental sciences
AU - Bujack, Roxana
AU - Middel, Ariane
N1 - Funding Information:
We would like to thank Lloyd Treinish, Benjamin Jaimes, Francesca Samsel, Mark Petersen, Gregory Abram, Pascal Nardini, Divya Banesh, and Felix Raith for providing visualizations for this paper. Research presented in this article was partly funded by the German Research Foundation (DFG) as part of the IRTG 2057 “Physical Modeling for Virtual Manufacturing Systems and Processes” and by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under Project Number 20190143ER.
Publisher Copyright:
© 2020, This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Flow plays a major role in environmental sciences, because many of the Earth’s physical and biological processes involve movement. Yet, there are major differences between theoretically available and practically applied visualization techniques to represent flow. This paper surveys various techniques in computational and environmental flow visualization. Techniques from the computational flow visualization community are classified into geometric, texture-based, topology-based, and feature-based approaches. Environmental flow applications are categorized into four application domains (atmospheric science, ecology, geosciences, and urban environments). Computational and environmental visualization approaches are compared to exhibit gaps and suggest solutions on how to bridge the gap. Outcomes from this literature review will inform the development of strategic initiatives for both future flow visualization research and flow visualization in the environmental sciences.
AB - Flow plays a major role in environmental sciences, because many of the Earth’s physical and biological processes involve movement. Yet, there are major differences between theoretically available and practically applied visualization techniques to represent flow. This paper surveys various techniques in computational and environmental flow visualization. Techniques from the computational flow visualization community are classified into geometric, texture-based, topology-based, and feature-based approaches. Environmental flow applications are categorized into four application domains (atmospheric science, ecology, geosciences, and urban environments). Computational and environmental visualization approaches are compared to exhibit gaps and suggest solutions on how to bridge the gap. Outcomes from this literature review will inform the development of strategic initiatives for both future flow visualization research and flow visualization in the environmental sciences.
KW - Environmental visualization
KW - Flow visualization
KW - State of the art
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U2 - 10.1007/s12665-019-8800-4
DO - 10.1007/s12665-019-8800-4
M3 - Article
AN - SCOPUS:85077770539
SN - 1866-6280
VL - 79
JO - Environmental Earth Sciences
JF - Environmental Earth Sciences
IS - 2
M1 - 65
ER -