Lagrangian Pathways and Environmental Noise in the Nordic Seas

Abstract

We propose an approach to characterize ambient noise and its propagation in relation to natural sources that uses acoustically quiet expendable assets to measure concurrently the near-surface circulation, the sources of ambient, ocean-process related noise and its levels, as well as the stratification of the upper ocean. The size of acoustic dataset will be reduced by recording samples of ocea n noise at times when they will be most significantly correlated with local sound sources. While the acoustic sampling will be non-c ontinuous, the clear advantage of working with expendable instruments is that they dont need to be recovered to access the data and therefore large areas can be sampled for synoptically for longer times under a variety of meteorological conditions, when probable generation mechanisms and promising noise sources are sensed by our specialized instruments. Dense mesoscale to sub-mesoscale resol ving arrays will be deployed during two observing periods. The data from these dense sensor arrays will reveal both the relative rol es of the forcing factors, buoyancy versus mechanical surface mixing, as well as the vertical structure of the upper-ocean stratific ation as it evolves along surface current structures. If needed, our drifter-based sensing arrays can be sustained beyond intense ob serving periods using charter vessels and aircrafts. We will collaborate with the teams selected for this DRI and we have identified a preferred partner (Dr. Pierre-Marie Poulain of CMRE, NATO) to enhance synergies with Arctic and sub-Arctic studies going on with our NATO colleagues. Approved for public release.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 22, 2021
Source ID
N000142112742

Entities

People

  • Luca Centurioni

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, San Diego

Tags

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Oceanography.