Ovis: A framework for visual analysis of ocean forecast ensembles

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Publication Type pre-print
School or College College of Engineering
Department Computing, School of
Creator Gopalakrishnan, Ganesh
Other Author Höllt, Thomas; Magdy, Ahmed; Zhan, Peng; Chen, Guoning; Hoteit, Ibrahim; Hansen, Charles D.; Hadwiger, Markus
Title Ovis: A framework for visual analysis of ocean forecast ensembles
Date 2014-01-01
Description We present a novel integrated visualization system that enables interactive visual analysis of ensemble simulations of the sea surface height that is used in ocean forecasting. The position of eddies can be derived directly from the sea surface height and our visualization approach enables their interactive exploration and analysis.The behavior of eddies is important in different application settings of which we present two in this paper. First, we show an application for interactive planning of placement as well as operation of off-shore structures using real-world ensemble simulation data of the Gulf of Mexico. Off-shore structures, such as those used for oil exploration, are vulnerable to hazards caused by eddies, and the oil and gas industry relies on ocean forecasts for efficient operations. We enable analysis of the spatial domain, as well as the temporal evolution, for planning the placement and operation of structures.Eddies are also important for marine life. They transport water over large distances and with it also heat and other physical properties as well as biological organisms. In the second application we present the usefulness of our tool, which could be used for planning the paths of autonomous underwater vehicles, so called gliders, for marine scientists to study simulation data of the largely unexplored Red Sea.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 20
Issue 8
First Page 1114
Last Page 1126
Language eng
Bibliographic Citation Höllt, T., Magdy, A., Zhan, P., Chen, G., Gopalakrishnan, G., Hoteit, I., Hansen, C. D., & Hadwiger, M. (2014). Ovis: A framework for visual analysis of ocean forecast ensembles. IEEE Transactions on Visualization and Computer Graphics, 20(8), 1114-26.
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Format Medium application/pdf
Format Extent 1,091,964 bytes
Identifier uspace,18831
ARK ark:/87278/s67d648b
Setname ir_uspace
ID 712632
Reference URL https://collections.lib.utah.edu/ark:/87278/s67d648b
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