Publication Type |
pre-print |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Gopalakrishnan, Ganesh |
Other Author |
Hollt, Thomas; Magdy, Ahmed; Chen, Guoning; Hoteit, Ibrahim; Hansen, Charles D.; Hadwiger, Markus |
Title |
Visual analysis of uncertainties in ocean forecasts for planning and operation of off-shore structures |
Date |
2013-01-01 |
Description |
We present a novel integrated visualization system that enables interactive visual analysis of ensemble simulations used in ocean forecasting, i.e, simulations of sea surface elevation. Our system enables the interactive planning of both the placement and operation of off-shore structures. We illustrate this using a real-world simulation of the Gulf of Mexico. Off-shore structures, such as those used for oil exploration, are vulnerable to hazards caused by strong loop currents. The oil and gas industry therefore relies on accurate ocean forecasting systems for planning their operations. Nowadays, these forecasts are based on multiple spatio-temporal simulations resulting in multidimensional, multivariate and multivalued data, so-called ensemble data. Changes in sea surface elevation are a good indicator for the movement of loop current eddies, and our visualization approach enables their interactive exploration and analysis. We enable analysis of the spatial domain, for planning the placement of structures, as well as detailed exploration of the temporal evolution at any chosen position, for the prediction of critical ocean states that require the shutdown of rig operations. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
185 |
Last Page |
192 |
Language |
eng |
Bibliographic Citation |
Hollt, T., Magdy, A., Chen, G., Gopalakrishnan, G., Hoteit, I., Hansen, C. D., & Hadwiger, M. (2013). Visual analysis of uncertainties in ocean forecasts for planning and operation of off-shore structures. IEEE Pacific Visualization Symposium, 6596144, 185-92. |
Rights Management |
(c) 2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
786,219 bytes |
Identifier |
uspace,18361 |
ARK |
ark:/87278/s6c285cn |
Setname |
ir_uspace |
ID |
711290 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6c285cn |