pyParaOcean: A System for Visual Analysis of Ocean Data
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{10.2312:envirvis.20231100,
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
editor = {Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk},
title = {{pyParaOcean: A System for Visual Analysis of Ocean Data}},
author = {Jain, Toshit and Singh, Varun and Boda, Vijay Kumar and Singh, Upkar and Hotz, Ingrid and Vinayachandran, P.N. and Natarajan, Vijay},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-223-3},
DOI = {10.2312/envirvis.20231100}
}