Publication | Open Access
VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science
152
Citations
27
References
2019
Year
Real-time VisualizationEngineeringVisualization (Graphics)Data VisualizationVisualization (Data Visualization)Earth System ScienceEarth ScienceGeophysicsInteractive VisualizationData ScienceEarth System SciencesAtmospheric ScienceManagementComputational VisualizationModeling And SimulationDomain-specific Visualization PackageBusiness VisualizationVisualization (Cognitive Psychology)GeographyVisualization Package TailoredVisualization (Biomedical Imaging)Parallel VisualizationVisualization RequirementsAnalyze Simulation DataData Modeling
Visualization is essential for analysis and communication in Earth System Sciences, yet general-purpose packages struggle with the specialized data models and requirements of the field. This paper introduces VAPOR, a domain‑specific visualization package designed to meet the interactive exploratory needs of ESS modelers. VAPOR processes simulation data from a wide range of numerical models, provides a multi‑resolution representation for interactive viewing of very large datasets on commodity hardware, and offers geo‑referenced and advanced rendering features for time‑varying 3D data. Our results show that VAPOR is easy to use and offers rich capabilities, as demonstrated by its effective visualization of a numerically simulated tornado.
Visualization is an essential tool for analysis of data and communication of findings in the sciences, and the Earth System Sciences (ESS) are no exception. However, within ESS, specialized visualization requirements and data models, particularly for those data arising from numerical models, often make general purpose visualization packages difficult, if not impossible, to use effectively. This paper presents VAPOR: a domain-specific visualization package that targets the specialized needs of ESS modelers, particularly those working in research settings where highly-interactive exploratory visualization is beneficial. We specifically describe VAPOR’s ability to handle ESS simulation data from a wide variety of numerical models, as well as a multi-resolution representation that enables interactive visualization on very large data while using only commodity computing resources. We also describe VAPOR’s visualization capabilities, paying particular attention to features for geo-referenced data and advanced rendering algorithms suitable for time-varying, 3D data. Finally, we illustrate VAPOR’s utility in the study of a numerically- simulated tornado. Our results demonstrate both ease-of-use and the rich capabilities of VAPOR in such a use case.
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