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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 timely eddy analysis, as ocean simulations generate massive amounts of data, causing a bottleneck for analysis. Future eddy analysis at high spatial and temporal resolutions will be difficult with file-based workflows due to constraints, such as storage size and I/O time, but an in situ workflow enables it and scales analysis will enable it, scaling well to ten-thousand processing elements. In particular, we have developed an eddy finder and census via an in situ workflow, allowing the on-line quantitative and qualitative analysis of MPAS-Ocean. We report the performance benefits of utilizing this in situ workflow in MPAS-Ocean, along with early science results of eddy censuses.