DocumentCode :
2757
Title :
Ovis: A Framework for Visual Analysisof Ocean Forecast Ensembles
Author :
Hollt, Thomas ; Magdy, Ahmed ; Peng Zhan ; Guoning Chen ; Gopalakrishnan, Ganesh ; Hoteit, Ibrahim ; Hansen, Charles D. ; Hadwiger, Markus
Author_Institution :
Geometric Modeling & Sci. Visualization Center, King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
Volume :
20
Issue :
8
fYear :
2014
fDate :
Aug. 2014
Firstpage :
1114
Lastpage :
1126
Abstract :
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.
Keywords :
data visualisation; decision making; game theory; geophysics computing; oceanographic techniques; Mexico; Ovis; biological organism; decision making; ensemble visualization; integrated visualization system; interactive visual analysis; ocean forecast ensemble; ocean forecasting; ocean visualization; off-shore structures; sea surface height; Data models; Data visualization; Predictive models; Sea surface; Three-dimensional displays; Uncertainty; Ensemble visualization; ocean forecast; ocean visualization; risk estimation;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2014.2307892
Filename :
6747370
Link To Document :
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