A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion

Nelli, Filippo, Derkani, Marzieh H., Alberello, Alberto ORCID: https://orcid.org/0000-0001-7957-4012 and Toffoli, Alessandro (2023) A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion. Applied Ocean Research, 132. ISSN 0141-1187

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Estimates of directional wave spectra and related parameters can be obtained from ship motion data through the wave-buoy analogy approach. The fundamental input is the response amplitude operator (RAO), which translates ship response into a wave energy spectrum. While ship motion is routinely measured on ocean going vessels, the RAO is not directly available and it is approximated using ship hydrodynamic models. The lack of publicly available details of hull geometry and loading conditions can results in significant inaccuracy of this operator. Considering the reliability of remotely sensed wave height, here we propose an assimilation technique that uses satellite altimeter observations to calibrate the RAO and minimise its uncertainties. The method is applied to estimate sea state conditions during the Antarctic Circumnavigation Expedition by converting motion response of the icebreaker Akademik Tryoshnikov as recorded by the on-board inertial measurement unit. Comparison against concurrent sea state observations obtained from a marine radar device shows a good agreement for a variety of parameters including significant wave height, wave periods and mean wave direction.

Item Type: Article
Additional Information: Acknowledgements: This work was supported by the Cooperative Research Centres Projects (CRC-P53991) and the Antarctic Circumnavigation Expedition (ACE) through the ACE Foundation and Ferring Pharmaceuticals. AT acknowledge partial support from the Australian Research Council grant DP200102828 . MHD was partially supported by a PhD top-up from the Australian Bureau of Meteorology. Authors acknowledge Dr A. Bekker at Stellenbosch University for providing drawings of Arc7 ice-class design. Authors thank the Airseaice Project initiative for technical support.
Uncontrolled Keywords: response amplitude operator,satellite altimeter,sea-state reconstruction,wamos-ii,wave spectrum,ocean engineering,sdg 14 - life below water ,/dk/atira/pure/subjectarea/asjc/2200/2212
Faculty \ School: Faculty of Science > School of Mathematics
UEA Research Groups: Faculty of Science > Research Groups > Fluid and Solid Mechanics
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Depositing User: LivePure Connector
Date Deposited: 03 Feb 2023 16:30
Last Modified: 06 Feb 2023 09:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/90961
DOI: 10.1016/j.apor.2023.103479

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