DOI: 10.5281/zenodo.4541563
title: Reconstructed sea state using ship motion data recorded during the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> The Antarctic Circumnavigation Expedition (ACE) took place aboard the Russian icebreaker, Akademik Tryoshnikov, from December 2016 to March 2017. Throughout the expedition, the ship's motion was recorded with an Inertial Measurement Unit (IMU) at a sampling rate of 1 Hz. The sea state is reconstructed based on the ship's motion relying on the principle that the vessel is a rigid body with six degrees of freedom that moves in response to the incident wave field and restoring forces. The relation between the ship's motion and the wave field is evaluated via the response amplitude operator R(f), i.e. a ship-specific function that translates the motion spectrum into the wave spectrum. Motion spectra were evaluated by applying a Discrete Fourier Transform to 5-minute time series of heave motion. An approximation of R(f) for the Akademik Tryoshnikov was calculated solving the equation of motion with a model based on the boundary element method. <strong>Dataset contents</strong> Reconstructed-Sea-State.csv, data file, comma-separated values data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This reconstructed sea state dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: This work was supported by the Antarctic Circumnavigation Expedition (ACE), which was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. The authors acknowledge contribution from the Australian Antarctic Program (project AAS 4434) and the Cooperative Research Centres Projects, CRC-P, initiative of the Australian Government (project CRC-P53991). MHD was partially supported by a Ph.D. top-up from the Australian Bureau of Meteorology.
description: {"references": ["Alberello, A., Bennetts, L., and Toffoli, A.: Antarctic Circumnavigation Expedition 2017: Motion Sensor and GPS Data, https://doi.org/10.4225/15/5A178EF0E5156, Australian Antarctic Data Centre, 2020.", "Babarit, A. and Delhommeau, G.: Theoretical and numerical aspects of the open source BEM solver NEMOH, in: Proc. of the 11th EuropeanWave and Tidal Energy Conference (EWTEC2015), 2015.", "Derkani, M. H., Alberello, A., Nelli, F., Bennetts, L. G., Hessner, K. G., MacHutchon, K., Reichert, K., Aouf, L., Khan, S. S., and Toffoli, A.: Wind, waves, and surface currents in the Southern Ocean: Observations from the Antarctic Circumnavigation Expedition, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2020-255, in review, 2020.", "Landwehr, S., Volpi, M., Derkani, M. H., Nelli, F., Alberello, A., Toffoli, A., Gysel-Beer, M., Modini, R. L., and Schmale, J.: Sea State and Boundary Layer Stability Limit Sea Spray Aerosol Lifetime over the Southern Ocean, Earth and Space Science Open Archive, p. 15,https://doi.org/10.1002/essoar.10504508.1, https://doi.org/10.1002/essoar.10504508.1, 2020.", "Newman, J. N.: Marine hydrodynamics, MIT press, 2018.", "Nielsen, U. D.: A concise account of techniques available for shipboard sea state estimation, Ocean Engineering, 129, 352\u2013362, 2017.", "Ribal, A. and Young, I. R.: 33 years of globally calibrated wave height and wind speed data based on altimeter observations, Scientific data, 6, 1\u201315, 2019."]}