Abstract
This poster reports the results of a published paper in IEEE Transactions on Computer Visualization and Graphics and presented at IEEE Visualization 2015.
Eddies are important in climate studies because they transport heat, salt, and nutrients through the world's oceans and are vessels of biological productivity. The study of eddies in global ocean-climate models requires large-scale, high-resolution simulations. This poses a problem for feasible (timely) eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for traditional analysis workflows. To enable eddy studies, we have developed an in situ workflow for the quantitative and qualitative analysis of MPAS-Ocean, integrating the ocean model research and development process with the visualization and analysis development process. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a post-processing workflow due to various constraints, such as storage size and I/O time, but the in situ workflow enables it and scales well to ten-thousand processing elements. We report the performance benefits of utilizing a in situ workflow in MPAS-Ocean, along with early science results of eddy censuses.