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Real-time Optimal Planning and Adaptive Sampling for Multi-Platform Operations in the Gulf of Mexico

Mirabito, C., P.J. Haley, Jr., E.M. Mule, A.V. Rodriguez, S.L. Morey, E.P. Chassignet, S.M. Glenn, T.N. Miles, D. Aragon, K. Coleman, M. Smith, S.F. DiMarco, S. Mahmud, X. Ge, A.H. Knap, B. Jaimes de la Cruz, L.K. Shay, M. Leber, R. Ramos, H. Nowak, J. Storie, A. Romer, M. Tenreiro, E. Pallàs-Sanz, J. Sheinbaum, P. Pérez-Brunius, R. He, Y. Deng, T. Wu, A. Bower, H.H. Furey, K.A. Donohue, J. van Smirren, P. Hogan, G. Jacobs, M. Feldman, F.K. Wiese, M. Khadka, and P.F.J. Lermusiaux, 2025. Real-time Optimal Planning and Adaptive Sampling for Multi-Platform Operations in the Gulf of Mexico. In: OCEANS '25 IEEE/MTS Great Lakes, 29 September–2 October 2025, pp. 1–10. doi:10.23919/OCEANS59106.2025.11245042

In this paper, we use our MIT Multidisciplinary Simulation, Estimation, and Assimilation Systems (MSEAS) including Error Subspace Statistical Estimation (ESSE) large-ensemble forecasting to provide real-time probabilistic forecasts for the Gulf of Mexico during the collaborative GRand Adaptive Sampling Experiment (GRASE) from April to September 2025. These forecasts are used for optimal planning and adaptive sampling for multiple platforms deployed during the experiment. We highlight real-time forecasts for probabilistic glider reachability and optimal planning. We showcase mutual information forecasts for optimal adaptive sampling with gliders and floats, maximizing information about the Loop Current (LC) and its eddies (LCEs). We showcase reachability and flow map forecasts for floats, characterizing water mass transports and eddy filamentations. We present probabilistic LCE forecasts using clustering techniques. Finally, we guide two gliders to recovery points using reachability and heading forecasts.

Lagrangian Flow Map Analysis of Ocean Dynamics and Material Transports

Lermusiaux, P.F.J., P.J. Haley, Jr., and C. Mirabito, 2025. Lagrangian Flow Map Analysis of Ocean Dynamics and Material Transports. In: OCEANS '25 IEEE/MTS Great Lakes, 29 September–2 October 2025, pp. 1–10. doi:10.23919/OCEANS59106.2025.11244986

In this paper, we illustrate the use of our partial differential equations for flow maps to quantify Lagrangian transports and non-advective dynamics in geophysical fluid flows. Our emphasis is on the use of spatiotemporal flow maps to help differentiate the advective transports from non-advective transformations of water masses and ocean features in four dimensions. Preliminary results are presented for real-time sea experiments with autonomous sensing platforms and advanced modeling systems in diverse ocean regions and dynamical regimes. They include the Nova Scotia Shelf-Slope and New England Seamount Chain regions, Gulf of Mexico, and Balearic and Alboran Seas in the western Mediterranean. Our differentiations directly highlight regions of higher shear and mixing, including the edges of meanders, eddies, filaments, and internal waves, and the regions undergoing strong vertical or spiral motions.

Pauline and Christina win NEWMAC Lacrosse Championship!

Led by our amazing UROPs Pauline Vien and Christina Fradella, MIT women’s lacrosse beat #1 seed Babson 16-6 to win the NEWMAC Championship! It’s the team’s first conference championship since 2015.

Next up, the NCAA tournament! Congrats and good luck!!

Anantha Wins USNCCM18 Travel Award

We are pleased to announce that Anantha has received a Travel Award for the USNCCM18 conference to be held in Chicago from July 20-24, 2025. Congratulations Anantha!

Wael, Aaron, and Pierre’s Paper Promoted on Geomatics Social Media

Wael, Aaron, and Pierre’s paper “A Wide-Area Deep Ocean Floor Mapping System: Design and Sea Tests,” published in 2023 in Geomatics, has been promoted on the journal’s social media platforms as an “Editors Choice Paper”. You can view the posts through:

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Congratulations Wael, Aaron, and Pierre!