Global trends in extreme wind speed and wave height
Satellite observations of the ocean surface provide a powerful method for acquiring global data on wind speed and wave height. Radar altimeters have now been in operation for more than 25 years, providing a reasonably long term data set with global coverage. This paper presents data from a fully cal...
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American Society of Mechanical Engineers
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ftswinburneunicr:oai:researchbank.swinburne.edu.au:1e60e047-cb8b-41c8-924e-0d2e1211e08a/1 2023-05-15T14:23:12+02:00 Global trends in extreme wind speed and wave height Young, I. R Zieger, S. Vinoth, J. Babanin, A. V. Swinburne University of Technology 2013 http://hdl.handle.net/1959.3/313798 http://www.asmeconferences.org/OMAE2013/ unknown American Society of Mechanical Engineers http://hdl.handle.net/1959.3/313798 http://www.asmeconferences.org/OMAE2013/ Copyright © 2013 ASME. The published version is reproduced for non-commercial purposes only in accordance with the copyright policy of the publisher. 32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013), Nantes, France, 09-14 June 2013, paper no. OMAE2013-10021 Conference paper 2013 ftswinburneunicr 2022-09-11T16:48:18Z Satellite observations of the ocean surface provide a powerful method for acquiring global data on wind speed and wave height. Radar altimeters have now been in operation for more than 25 years, providing a reasonably long term data set with global coverage. This paper presents data from a fully calibrated and validated altimeter dataset. The dataset provides the basis for obtaining a global perspective of a number of parameters critical to ocean engineering design, ship operations and global climate change. Analysis of the data provides ocean climatology of mean monthly values of wind speed and wave height useful for ship operations. The data set is also sufficiently long to provide extreme value (i.e. 100-year return period) estimates of wind speed and wave height. The paper presents such values and describes the approaches most appropriate to obtain statistically significant extreme value estimates from such satellite data. With a data set of this length, it is possible to investigate whether there have been statistically significant changes in the wind and wave climates over the period. Careful trend analysis of the extensive data set shows that there has been a statistically significant increasing trend in mean wind speed over the period. The corresponding increase in wave height is less clear. There is also evidence to suggest that extreme wind speeds and wave heights are increasing and the data set is analysed to investigate these trends. The paper clearly shows the value of this dataset and its application to a range of engineering problems. Conference Object Arctic Swinburne Research Bank (Swinburne University of Technology) |
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Swinburne Research Bank (Swinburne University of Technology) |
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ftswinburneunicr |
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unknown |
description |
Satellite observations of the ocean surface provide a powerful method for acquiring global data on wind speed and wave height. Radar altimeters have now been in operation for more than 25 years, providing a reasonably long term data set with global coverage. This paper presents data from a fully calibrated and validated altimeter dataset. The dataset provides the basis for obtaining a global perspective of a number of parameters critical to ocean engineering design, ship operations and global climate change. Analysis of the data provides ocean climatology of mean monthly values of wind speed and wave height useful for ship operations. The data set is also sufficiently long to provide extreme value (i.e. 100-year return period) estimates of wind speed and wave height. The paper presents such values and describes the approaches most appropriate to obtain statistically significant extreme value estimates from such satellite data. With a data set of this length, it is possible to investigate whether there have been statistically significant changes in the wind and wave climates over the period. Careful trend analysis of the extensive data set shows that there has been a statistically significant increasing trend in mean wind speed over the period. The corresponding increase in wave height is less clear. There is also evidence to suggest that extreme wind speeds and wave heights are increasing and the data set is analysed to investigate these trends. The paper clearly shows the value of this dataset and its application to a range of engineering problems. |
author2 |
Swinburne University of Technology |
format |
Conference Object |
author |
Young, I. R Zieger, S. Vinoth, J. Babanin, A. V. |
spellingShingle |
Young, I. R Zieger, S. Vinoth, J. Babanin, A. V. Global trends in extreme wind speed and wave height |
author_facet |
Young, I. R Zieger, S. Vinoth, J. Babanin, A. V. |
author_sort |
Young, I. R |
title |
Global trends in extreme wind speed and wave height |
title_short |
Global trends in extreme wind speed and wave height |
title_full |
Global trends in extreme wind speed and wave height |
title_fullStr |
Global trends in extreme wind speed and wave height |
title_full_unstemmed |
Global trends in extreme wind speed and wave height |
title_sort |
global trends in extreme wind speed and wave height |
publisher |
American Society of Mechanical Engineers |
publishDate |
2013 |
url |
http://hdl.handle.net/1959.3/313798 http://www.asmeconferences.org/OMAE2013/ |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
32nd International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2013), Nantes, France, 09-14 June 2013, paper no. OMAE2013-10021 |
op_relation |
http://hdl.handle.net/1959.3/313798 http://www.asmeconferences.org/OMAE2013/ |
op_rights |
Copyright © 2013 ASME. The published version is reproduced for non-commercial purposes only in accordance with the copyright policy of the publisher. |
_version_ |
1766295699840827392 |