Climate change research relies on models to better under- stand and predict the complex, interdependant processes that affect the atmosphere, ocean, and land. These mod- els are computationally intensive and produce terrabytes to petabytes of data. Visualization and analysis is increas- ingly difficult, yet is critical to gain scientific insights from large simulations. The recently-developed Model for Pre- diction Across Scales-Ocean (MPAS-Ocean) is designed to investigate climate change at global high-resolution (5 to 10 km gridcells) on high performance computing platforms. In the accompanying video, we use state-of-the-art visual- ization techniques to explore the physical processes in the ocean relevant to climate change. These include heat trans- port, turbulence and eddies, weakening of the meridional overturning circulation, and interaction between a warming ocean and Antarctic ice shelves. The project exemplifies the benefits of tight collaboration among scientists, artists, computer scientists, and visualization specialists.
