Results of the Mini-Adaptive Sampling Test Run (MASTR) Experiment: Autonomous Vehicles, Drifters, Floats, ROCIS, and HF-Radar, to Improve Loop Current System Dynamics and Forecasts in the Deepwater Gulf of México

F. DiMarco, Steven; Glenn, Scott; D. Smith, M.; Jaimes de la Cruz, B.; Ramos, Roberto; Pallàs‐Sanz, Enric; Tenreiro, Miguel; Mahmud, Suhail; Nwankwo, Uchenna; Miles, Travis; Monreal Jiménez, Rosalinda; Salas de Leon, David; H. Knap, Anthony; K. Shay, Lynn; Magnell, Bruce; Storie, Jill; Stuart, G.W.; L. Marble, Julie; Kevin Contreras Tereza, Víctor

doi:10.4043/35072-ms

Public

Results of the Mini-Adaptive Sampling Test Run (MASTR) Experiment: Autonomous Vehicles, Drifters, Floats, ROCIS, and HF-Radar, to Improve Loop Current System Dynamics and Forecasts in the Deepwater Gulf of México

Published in Offshore Technology Conference • Apr 29, 2024

Authors:

Steven F. DiMarco

Scott Glenn

M. D. Smith

Abstract

Abstract We report the preliminary results of the international MASTR (Mini-Adaptive Sampling Test-Run) Experiment of the UGOS (Understanding the Gulf Ocean Systems) Program, which simultaneously deployed multiple autonomous measurement platforms (i.e., ocean buoyancy gliders, subsurface floats, sur...

Subject

Radar

Current (fluid)

Sampling (signal processing)

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