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Matt Swezey, LT USN, graduates with SM from the MechE-US Navy Program

Congratulations to Matt Swezey on his recent graduation! Matt received Master of Naval Architecture and Marine Engineering and a Master of Mechanical Engineering for his research on “Ocean Acoustic Uncertainty for Submarine Applications”.

Florian Feppon wins MIT award for Excellence in Research

Florian Feppon has received the Wunsch Foundation Silent Hoist and Crane Award for Outstanding Graduate Research. The honor was presented at the Mechanical Engineering Student Awards Luncheon on Friday, May 13, 2016. An honor well-deserved. Congratulations Florian!

Impact of horizontal resolution (1/12 to 1/50 degree) on Gulf Stream separation and penetration in a series of North Atlantic HYCOM numerical simulations

Speaker: Eric Chassignet [Announcement (PDF)]
Speaker Affiliation: Director, Center for Ocean-Atmospheric Prediction Studies
Professor of Oceanography, Department of Earth, Ocean and Atmospheric Science
Florida State University

Date: Thursday April 28, 2016 at 12 p.m in 37-212
CCE Seminar

Abstract The impact of horizontal resolution (1/12 to 1/50 degree) on Gulf Stream separation and penetration is analyzed in a series of identical North Atlantic HYCOM configurations. The specific questions that will be addressed are as follows: When does a solution converge or is “good enough”? Are the mesoscale and sub-mesoscale eddy activity representative of interior quasigeostrophic (QG) or surface quasigeostrophic (SQG) turbulence? How well do the simulations compare to observations? We will show that the increase in resolution (1/50 degree) does lead to a substantial improvement in the Gulf Stream representation (surface and interior) when compared to observations and the results will be discussed in terms of ageostrophic contributions and power spectra.

Validation of Genetic Algorithm Based Optimal Sampling for Ocean Data Assimilation

Heaney, K. D., P. F. J. Lermusiaux, T. F. Duda and P. J. Haley Jr., 2016.Validation of Genetic Algorithm Based Optimal Sampling for Ocean Data Assimilation. Ocean Dynamics. 66: 1209-1229. doi:10.1007/s10236-016-0976-5.

Regional ocean models are capable of forecasting conditions for usefully long intervals of time (days) provided that initial and ongoing conditions can be measured. In resource-limited circumstances, the placement of sensors in optimal locations is essential. Here, a nonlinear optimization approach to determine optimal adaptive sampling that uses the Genetic Algorithm (GA) method is presented. The method determines sampling strategies that minimize a user-defined physics-based cost function. The method is evaluated using identical twin experiments, comparing hindcasts from an ensemble of simulations that assimilate data selected using the GA adaptive sampling and other methods. For skill metrics, we employ the reduction of the ensemble root-mean-square-error (RMSE) between the “true” data-assimilative ocean simulation and the different ensembles of data-assimilative hindcasts. A 5-glider optimal sampling study is set up for a 400 km x 400 km domain in the Middle Atlantic Bight region, along the New Jersey shelf-break. Results are compared for several ocean and atmospheric forcing conditions.

LT Matthew Swezey awarded First Prize at ASNE Day 2016 Student Poster Competition

Congratulations to LT Matthew Swezey for being awarded the First Prize for his poster on “Ocean Acoustic Uncertainty – For Submarine Applications” at the ASNE Day 2016 Student Poster Competition. ASNE Day is an annual meeting of the American Society of Naval Engineers, which features keynote speakers, panel presentations, technical papers presented by subject matter experts and various student specific programs. Keynote speakers this year included Secretary Stackley the Assistant Secretary of the Navy for Research, Development and Acquisition.