Visual analysis is well adopted within the field of oceanography for the
analysis of model simulations, detection of different phenomena and events, and
tracking of dynamic processes. With increasing data sizes and the availability
of multivariate dynamic data, there is a growing need for scalable and
extensible tools for visualization and interactive exploration. We describe
pyParaOcean, a visualization system that supports several tasks routinely used
in the visual analysis of ocean data. The system is available as a plugin to
Paraview and is hence able to leverage its distributed computing capabilities
and its rich set of generic analysis and visualization functionalities.
pyParaOcean provides modules to support different visual analysis tasks
specific to ocean data, such as eddy identification and salinity movement
tracking. These modules are available as Paraview filters and this seamless
integration results in a system that is easy to install and use. A case study
on the Bay of Bengal illustrates the utility of the system for the study of
ocean phenomena and processes.Comment: 8 pages, EnvirVis202