A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion
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 measur...
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ftuniveastangl:oai:ueaeprints.uea.ac.uk:90961 2023-05-15T14:02:10+02:00 A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion Nelli, Filippo Derkani, Marzieh H. Alberello, Alberto Toffoli, Alessandro 2023-03 application/pdf https://ueaeprints.uea.ac.uk/id/eprint/90961/ https://ueaeprints.uea.ac.uk/id/eprint/90961/1/apor.pdf https://doi.org/10.1016/j.apor.2023.103479 en eng https://ueaeprints.uea.ac.uk/id/eprint/90961/1/apor.pdf Nelli, Filippo, Derkani, Marzieh H., Alberello, Alberto 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 doi:10.1016/j.apor.2023.103479 cc_by_nc_nd CC-BY-NC-ND Article PeerReviewed 2023 ftuniveastangl https://doi.org/10.1016/j.apor.2023.103479 2023-02-09T23:31:42Z 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. Article in Journal/Newspaper Antarc* Antarctic Icebreaker University of East Anglia: UEA Digital Repository Antarctic The Antarctic Applied Ocean Research 132 103479 |
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Open Polar |
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University of East Anglia: UEA Digital Repository |
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ftuniveastangl |
language |
English |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Nelli, Filippo Derkani, Marzieh H. Alberello, Alberto Toffoli, Alessandro |
spellingShingle |
Nelli, Filippo Derkani, Marzieh H. Alberello, Alberto Toffoli, Alessandro A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
author_facet |
Nelli, Filippo Derkani, Marzieh H. Alberello, Alberto Toffoli, Alessandro |
author_sort |
Nelli, Filippo |
title |
A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
title_short |
A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
title_full |
A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
title_fullStr |
A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
title_full_unstemmed |
A satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
title_sort |
satellite altimetry data assimilation approach to optimise sea state estimates from vessel motion |
publishDate |
2023 |
url |
https://ueaeprints.uea.ac.uk/id/eprint/90961/ https://ueaeprints.uea.ac.uk/id/eprint/90961/1/apor.pdf https://doi.org/10.1016/j.apor.2023.103479 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Icebreaker |
genre_facet |
Antarc* Antarctic Icebreaker |
op_relation |
https://ueaeprints.uea.ac.uk/id/eprint/90961/1/apor.pdf Nelli, Filippo, Derkani, Marzieh H., Alberello, Alberto 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 doi:10.1016/j.apor.2023.103479 |
op_rights |
cc_by_nc_nd |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1016/j.apor.2023.103479 |
container_title |
Applied Ocean Research |
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132 |
container_start_page |
103479 |
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1766272271801909248 |