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Multi-scale Transport and Dissipation in the Wave-Driven Ocean

Tuesday, March 20, 3:30PM – 4:30PM
ACE 2.302 (AVAYA)

Juan M. Restrepo

The present focus of computational oceanography relevant to global climate is to find ways to interface to atmospheric, chemistry/biology, and ice models. In addition to the obvious challenges inherent in coupling multi-physics, the resolution requirements of ocean models is enormous: although climate is inherently a forced, nonlinear, dissipative system, transport cannot be neglected or poorly represented.

Efforts to reach the required resolution using existing models mostly focus on increasing the efficiency of the computation. However, reaching the desired resolution goal also requires hybrid physics/computational multi-scale techniques.

I will describe the challenges posed by oceanic transport and highlight two multi-scale techniques, which along with increasing the effective resolution of computations, also lead to a better understanding of the oceanographic phenomena they intend to tackle.

Brief bio: Juan M. Restrepo is the group leader of the Uncertainty Quantification Group at The University of Arizona. The UQ Group was created in 2005 to tackle problem-driven UQ scientific computing questions in climate, hydrology, and computer vision. He is a professor of mathematics, physics, and atmospheric sciences. By training a physicist and engineer, he started working on climate research as a post-doctoral fellow at Argonne National Laboratory and the University of Chicago under the CHAMMP program.

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