Visualization in Meteorology-A Survey of Techniques and Tools for Data Analysis Tasks

This article surveys the history and current state of the art of visualization in meteorology, focusing on visualization techniques and tools used for meteorological data analysis. We examine characteristics of meteorological data and analysis tasks, describe the development of computer graphics met...

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Vydáno v:IEEE transactions on visualization and computer graphics Ročník 24; číslo 12; s. 3268 - 3296
Hlavní autoři: Rautenhaus, Marc, Bottinger, Michael, Siemen, Stephan, Hoffman, Robert, Kirby, Robert M., Mirzargar, Mahsa, Rober, Niklas, Westermann, Rudiger
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.12.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Atmospheric modeling
atmospheric science
climatology
Computer graphics
Data analysis
Data integration
Data visualization
Displays
Forecasting
Meteorology
Multisensor fusion
Numerical models
Predictive models
Reproducibility
spatiotemporal data
State of the art
survey
Surveying
Three dimensional flow
Visualization
Weather forecasting
ISSN:1077-2626, 1941-0506, 1941-0506
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Shrnutí:This article surveys the history and current state of the art of visualization in meteorology, focusing on visualization techniques and tools used for meteorological data analysis. We examine characteristics of meteorological data and analysis tasks, describe the development of computer graphics methods for visualization in meteorology from the 1960s to today, and visit the state of the art of visualization techniques and tools in operational weather forecasting and atmospheric research. We approach the topic from both the visualization and the meteorological side, showing visualization techniques commonly used in meteorological practice, and surveying recent studies in visualization research aimed at meteorological applications. Our overview covers visualization techniques from the fields of display design, 3D visualization, flow dynamics, feature-based visualization, comparative visualization and data fusion, uncertainty and ensemble visualization, interactive visual analysis, efficient rendering, and scalability and reproducibility. We discuss demands and challenges for visualization research targeting meteorological data analysis, highlighting aspects in demonstration of benefit, interactive visual analysis, seamless visualization, ensemble visualization, 3D visualization, and technical issues.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2017.2779501