Abstract
This poster reports the results of a published paper in IEEE Transactions on Visualization and Computer Graphics (TVCG) and talk presented at IEEE Visualization (VIS) 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 analysis. To enable high-temporal frequency eddy studies, we have developed an eddy finder and census via an in situ workflow, allowing the on-line quantitative and qualitative analysis of MPAS-Ocean. Planned eddy analysis at high spatial and temporal resolutions will not be possible with a post-processing workflow due to 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 this particular in situ workflow in MPAS-Ocean, along with early science results of eddy censuses.