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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 high-temporal frequency eddy studies, we have developed an eddy finder and census via an in situ workflow for , allowing the on-line 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 this particular in situ workflow in MPAS-Ocean, along with early science results of eddy censuses.