Quality controlled wave attenuation and frequency dispersion products in landfast sea ice

Progress Code: completed Purpose Dataset can be used to calibrate and validate wave-ice interaction parameterizations, and wave products in wave models. Data contains profiles of wave attenuation and frequency dispersion in landfast ice as derived from wave measurements in the Antarctic (October 202...

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Bibliographic Details
Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), VOERMANS, JOEY (collaborator), VOERMANS, JOEY (hasPrincipalInvestigator), VOERMANS, JOEY (author), Voermans, J. (originator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
AMD
Online Access:https://researchdata.edu.au/quality-controlled-wave-sea-ice/2823180
Description
Summary:Progress Code: completed Purpose Dataset can be used to calibrate and validate wave-ice interaction parameterizations, and wave products in wave models. Data contains profiles of wave attenuation and frequency dispersion in landfast ice as derived from wave measurements in the Antarctic (October 2020, 66.2°S 110.6°E) and Arctic (March 2020, 78.0°N 14.2°E). Instruments used to measure ice motion are ice buoys (Rabault et al., 2020) using a high-accuracy internal motion unit (VectorNav VN-100). To assure quality of data, a signal to noise ratio equal or larger than 2 is used. Attenuation between instruments is then determined following the exponential decay of waves in sea ice. The typical direction of wave energy into the marginal ice zone is well aligned with the instruments deployed. The wavelength of waves in sea ice were determined for each instrument by using information of the spectra of heave, pitch and roll. We observe a bias of about 3% between the wave length and open water wave length for waves between 8 and 12 seconds. Details of data quality control and processing is given in Voermans et al. (2021).