Modeling an acoustic response to long-term variations of water and ice characteristics in the Arctic Ocean

Using long range low frequency acoustics to monitor changes in Arctic Ocean temperature and changes in the sea ice could provide a capability to detect climate trends in the Arctic. In order to understand the sensitivity of acoustic phase and intensity to plausible climate trends, against a realistic background noise, a modelling study was undertaken using a unique Russian data set from the Arctic of temperature, salinity, and depth.