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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Published in:Applied Ocean Research
Main Authors: Nelli, Filippo, Derkani, Marzieh H., Alberello, Alberto, Toffoli, Alessandro
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access: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
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spelling 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
institution Open Polar
collection University of East Anglia: UEA Digital Repository
op_collection_id 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
container_volume 132
container_start_page 103479
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