Executive Summary
This thesis explores the feasibility of using submarine-recorded acceleration and navigational data to detect deep oceanic convection. It compares actual submarine observations with simulated turbulence fields generated by a Large Eddy Simulation (LES) model. The study concludes that submarines can effectively observe and monitor significant deep oceanic convection, as background accelerations do not mask the signals.
Why It Matters
This document is crucial for defense analysts as it demonstrates a novel method for submarines to detect and monitor oceanic convection, which impacts underwater acoustics, navigation, and strategic operations in critical regions like the Arctic.
Key Takeaways
- Submarines can detect deep oceanic convection using onboard acceleration and navigational data.
- Large Eddy Simulation (LES) models can effectively simulate oceanic turbulence for comparison with real-world submarine observations.
- The methodology has significant implications for understanding oceanographic conditions in strategically important areas like the Arctic and Mediterranean Seas.
- Background vessel accelerations do not mask the signal of deep oceanic convection.
Strategic Relevance
Understanding and predicting oceanic convection is vital for submarine operations, including stealth, sonar performance, and navigation. This research provides a method for submarines to gather critical oceanographic data, enhancing operational effectiveness and strategic advantage in contested underwater environments, particularly in polar regions.