Optimizing Correlations of Magnetic and Hydrodynamics Signatures

Magnetic signals with a small signal-to-noise ratio are expected to be produced by internal waves in an ocean environment due to motion of dissolved salts. Although theoretically sound, the transient and varied nature of internal waves has made it difficult to characterize their magnetic signature. Previous work by the authors focused on the isolation of such internal wave signatures in a magnetic record, but left behind many questions and the need for corroboration. The extension of this work rectified issues in the previous magnetic processing and provided processing techniques of water particle velocity data for insightful correlations. Data was collected using multiple magnetometers and acoustic doppler current profilers (ADCPs). After data processing was completed, a multi-variate analysis algorithm was used to optimize the correlations between magnetic and water particle velocity signals. Correlations above 90% were achieved for multiple datasets.