EGU2020-9671
https://doi.org/10.5194/egusphere-egu2020-9671
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Remote sensing mixed layer depth using ocean ambient noise

Najeem Shajahan1 and David Barclay2
Najeem Shajahan and David Barclay
  • 1Department of Oceanography, Dalhousie University,1355 Oxford St, PO Box 15000, Halifax, NS B3H 4R2, Canada (najeemtkm@gmail.com)
  • 2Department of Oceanography, Dalhousie University,1355 Oxford St, PO Box 15000, Halifax, NS B3H 4R2, Canada (dbarclay@dal.ca)

Ambient noise measurements have been widely used to estimate environmental information such as water column sound speed, pH, seabed properties, and wind speed. In this study, 30 days of ambient noise data recorded on two vertically oriented hydrophones deployed near Alvin canyon on the New England shelf break were used to estimate the ocean mixed layer depth (MLD). The vertical noise coherence was computed and compared to a wave-number integral noise model comprised of a two-segment piecewise linear summer sound speed profile in a shallow water waveguide. Measurements of noise and sound speed profiles, together with a wavenumber integral ambient noise model were used to calculate the mixed layer thickness. Noise model results showed variations in the first zero-crossing frequency, which was in accordance with the semi-diurnal variability of the MLD. MLD was determined by matching the zero-crossing frequency of the real part of measured coherence with the model results for the entire one-month period. The comparison of the estimated MLD using ambient noise showed good agreement with the measured MLD from the temperature sensors.

How to cite: Shajahan, N. and Barclay, D.: Remote sensing mixed layer depth using ocean ambient noise, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9671, https://doi.org/10.5194/egusphere-egu2020-9671, 2020