Justin Shapiro Research Engineer-Principal jshapiro@apl.uw.edu Phone 206-616-7384 |
Education
B.S. Ocean Physics, and Meteorology, Rutgers University, 2008
M.S. Systems and Controls, Georgia Institute of Technology, 2012
Publications |
2000-present and while at APL-UW |
Northern Ocean Rapid Surface Evolution (NORSE): Science and Experiment Plan Ballard, M., and 35 others including L. Rainville, L. Johnson, C. Lee, J. Shapiro, J. Thomson, and K. Zeiden, "Northern Ocean Rapid Surface Evolution (NORSE): Science and Experiment Plan," Technical Report, APL-UW TR 2102. Applied Physics Laboratory, University of Washington, January 2022, 40 pp. |
More Info |
13 Jan 2022 |
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The NORSE DRI focuses on characterizing the key physical parameters and processes that govern the predictability of upper-ocean rapid evolution events occurring in the ice-free high latitudes. The goal is to identify which observable parameters are most influential in improving model predictability through inclusion by assimilation, and to field an autonomous observing network that optimizes sampling of high-priority fields. The overall goal is to demonstrate improvements in the predictability of the upper ocean physical fields associated with acoustic propagation over the course of the study. This Science Plan describes the specific objectives and implementation plan. |
Turbulence and vorticity in the wake of Palau St. Laurent, L., T. Ijichi, S.T. Merrifield, J. Shapiro, and H.L. Simmons, "Turbulence and vorticity in the wake of Palau," Oceanography, 32, 102-109, doi:10.5670/oceanog.2019.416, 2019. |
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1 Dec 2019 |
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The interaction of flow with steep island and ridge topography at the Palau island chain leads to rich vorticity fields that generate a cascade of motions. The energy transfer to small scales removes energy from the large-scale mean flow of the equatorial current systems and feeds energy to the fine and microstructure scales where instability mechanisms lead to turbulence and dissipation. Until now, direct assessments of the turbulence associated with island wakes have received only minimal attention. Here, we examine data collected from an ocean glider equipped with microstructure sensors that flew in the island wake of Palau. We use a combination of submesoscale modeling and direct observation to quantify the relationship between vorticity and turbulence levels. We find that direct wind-driven mixing only accounts for about 10% of the observed turbulence levels, suggesting that most of the energy for mixing is extracted from the shear associated with the vorticity field in the island’s wake. Below the surface layer, enhanced turbulence correlates with the phase and magnitude of the relative vorticity and strain levels of the mesoscale flow. |