Preparing the NTNU REMUS 100 AUV for Ice Management operations

This project attempts to prepare the NTNU REMUS 100 AUV for research on Ice Management application and other under-ice research by collecting necessary experience and data.

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Project type

  • field work
  • arctic field grant (afg)


  • technology and engineering

Project Keywords

  • oceans / sea ice / ice depth/thickness
  • oceans / ocean acoustics / acoustic scattering

Fieldwork information

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Ice Management (IM) is the sum of all activities where the objective is to reduce, or avoid actions from any kind of ice features. A part of an IM system is the detection, tracking, and forecasting of sea features, and conventional surveillance methods, like ice observers, airborne reconnaissance, and satellite telemetry suffers from reduced quality in bad weather and foggy conditions, or limited spatial resolution. Buoys have been used for monitoring of sea ice, but have a limited spatial coverage. Autonomous underwater vehicles (AUVs) are a class of vehicles that have a high spatial coverage, while still maintaining a high spatial and temporal resolution. This project aims at preparing the NTNU REMUS AUV for Arctic IM operations, and to gather experience and data that can be used for developing guidance algorithms for IM applications. In addition, the collected data will be used by associated projects. The technological objectives for the project are (1) to gather operational experience from under ice surveys with AUVs on land-fast ice to allow new missions in drifting sea-ice conditions, and (2) to perform testing of an ultra-short baseline (USBL) homing system for recovery of the AUV from a hole in the ice. The scientific objectives for the project can be summarized as: (i) to gather multibeam echosounder (MBE) measurements of the sea-ice topography to be compared with manual measurements of ice-thickness to assess the feasibility of using MBE on AUVs as an ice monitoring platform; (ii) acquire acoustic Doppler current profiler (ADCP) measurements of AUV/ice-relative velocity to be used in assessing the AUVs ability to estimate ice drift; (iii) assess long baseline (LBL) acoustic positioning network performance under ice, and use the data for acoustic model verification; and (iv) conduct water column surveys to obtain measurements of sea water properties at different depths to complement the FAABulous-project (RiS 10383) data-set.

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