Mooring design using wave-state estimate from the Southern Ocean
Author Posting. © American Meteorological Society, 2011. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360, doi:10.1175/JTEC...
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ftwhoas:oai:darchive.mblwhoilibrary.org:1912/4898 2023-05-15T13:53:14+02:00 Mooring design using wave-state estimate from the Southern Ocean Schulz, Eric W. Grosenbaugh, Mark A. Pender, L. Greenslade, D. J. M. Trull, Thomas W. 2011-10-01 application/pdf https://hdl.handle.net/1912/4898 en_US eng American Meteorological Society https://doi.org/10.1175/JTECH-D-10-05033.1 Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360 https://hdl.handle.net/1912/4898 doi:10.1175/JTECH-D-10-05033.1 Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360 doi:10.1175/JTECH-D-10-05033.1 Buoy observations Article 2011 ftwhoas https://doi.org/10.1175/JTECH-D-10-05033.1 2022-05-28T22:58:29Z Author Posting. © American Meteorological Society, 2011. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360, doi:10.1175/JTECH-D-10-05033.1. The Southern Ocean Flux Station was deployed near 47°S, 140°E. The extreme wind and wave conditions at this location require appropriate mooring design, which includes dynamic fatigue analysis and static analysis. An accurate estimate of the wave conditions was essential. A motion reference unit was deployed in a nearby test mooring for 6 months. The motion data provided estimates of significant wave height that agreed well with the Australian Bureau of Meteorology wave model, increasing confidence in the model performance in the Southern Ocean. The results of the dynamic fatigue analysis using three input wave datasets and implications for the mooring design are described. The design analysis predicts the fatigue life for critical mooring components and guided the final selection of links and chain shackles. The three input wave climatologies do not differ greatly, and this is reflected in minimal changes to mooring components for each of the fatigue analyses. Many years of logistic support for these deployments have been provided by the Australian Marine National Facility and the Australian Antarctic Sciences program (Award 1156). IMOS is funded through the Federal Government’s National Collaborative Research Infrastructure Strategy and the Super Science Initiative. Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Antarctic Southern Ocean Journal of Atmospheric and Oceanic Technology 28 10 1351 1360 |
institution |
Open Polar |
collection |
Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
op_collection_id |
ftwhoas |
language |
English |
topic |
Buoy observations |
spellingShingle |
Buoy observations Schulz, Eric W. Grosenbaugh, Mark A. Pender, L. Greenslade, D. J. M. Trull, Thomas W. Mooring design using wave-state estimate from the Southern Ocean |
topic_facet |
Buoy observations |
description |
Author Posting. © American Meteorological Society, 2011. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360, doi:10.1175/JTECH-D-10-05033.1. The Southern Ocean Flux Station was deployed near 47°S, 140°E. The extreme wind and wave conditions at this location require appropriate mooring design, which includes dynamic fatigue analysis and static analysis. An accurate estimate of the wave conditions was essential. A motion reference unit was deployed in a nearby test mooring for 6 months. The motion data provided estimates of significant wave height that agreed well with the Australian Bureau of Meteorology wave model, increasing confidence in the model performance in the Southern Ocean. The results of the dynamic fatigue analysis using three input wave datasets and implications for the mooring design are described. The design analysis predicts the fatigue life for critical mooring components and guided the final selection of links and chain shackles. The three input wave climatologies do not differ greatly, and this is reflected in minimal changes to mooring components for each of the fatigue analyses. Many years of logistic support for these deployments have been provided by the Australian Marine National Facility and the Australian Antarctic Sciences program (Award 1156). IMOS is funded through the Federal Government’s National Collaborative Research Infrastructure Strategy and the Super Science Initiative. |
format |
Article in Journal/Newspaper |
author |
Schulz, Eric W. Grosenbaugh, Mark A. Pender, L. Greenslade, D. J. M. Trull, Thomas W. |
author_facet |
Schulz, Eric W. Grosenbaugh, Mark A. Pender, L. Greenslade, D. J. M. Trull, Thomas W. |
author_sort |
Schulz, Eric W. |
title |
Mooring design using wave-state estimate from the Southern Ocean |
title_short |
Mooring design using wave-state estimate from the Southern Ocean |
title_full |
Mooring design using wave-state estimate from the Southern Ocean |
title_fullStr |
Mooring design using wave-state estimate from the Southern Ocean |
title_full_unstemmed |
Mooring design using wave-state estimate from the Southern Ocean |
title_sort |
mooring design using wave-state estimate from the southern ocean |
publisher |
American Meteorological Society |
publishDate |
2011 |
url |
https://hdl.handle.net/1912/4898 |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic Southern Ocean |
genre_facet |
Antarc* Antarctic Southern Ocean |
op_source |
Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360 doi:10.1175/JTECH-D-10-05033.1 |
op_relation |
https://doi.org/10.1175/JTECH-D-10-05033.1 Journal of Atmospheric and Oceanic Technology 28 (2011): 1351–1360 https://hdl.handle.net/1912/4898 doi:10.1175/JTECH-D-10-05033.1 |
op_doi |
https://doi.org/10.1175/JTECH-D-10-05033.1 |
container_title |
Journal of Atmospheric and Oceanic Technology |
container_volume |
28 |
container_issue |
10 |
container_start_page |
1351 |
op_container_end_page |
1360 |
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1766258236440182784 |