Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data
The analysis of multirun oceanographic simulation data imposes various challenges ranging from visualizing multifield spatio-temporal data over properly identifying and depicting vortices to visually representing uncertainties. We present an integrated interactive visual analysis tool that enables us to overcome these challenges by employing multiple coordinated views of different facets of the data at different levels of aggregation.
@ARTICLE {9495240,
author = {H. Rave and J. Fincke and S. Averkamp and B. Tangerding and L. P. Wehrenberg and T. Gerrits and K. Huesmann and S. Leistikow and L. Linsen},
journal = {IEEE Computer Graphics and Applications},
title = {Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data},
year = {2022},
volume = {42},
number = {04},
issn = {1558-1756},
pages = {80-88},
abstract = {The analysis of multirun oceanographic simulation data imposes various challenges ranging from visualizing multifield spatio-temporal data over properly identifying and depicting vortices to visually representing uncertainties. We present an integrated interactive visual analysis tool that enables us to overcome these challenges by employing multiple coordinated views of different facets of the data at different levels of aggregation.}
keywords = {visualization;data visualization;data models;uncertainty;salinity (geophysical);correlation;rendering (computer graphics)},
doi = {10.1109/MCG.2021.3098096},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {jul}
}
