Changes in monthly value of ocean surface winds
Data collected from ships, remote-sensing satellites, and numerical re-analysis indicate that on average the wind speed at the ocean surface has increased in recent decades. The magnitude of reported trends vary in different studies based on dataset, data coverage, and method used. Observations of t...
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ftswinburne:tle:f0fe7621-72eb-492b-8854-d0dc18cfe391:28f49f06-0da8-44be-9edc-ad1dd0a9c582:1 2023-06-11T04:16:59+02:00 Changes in monthly value of ocean surface winds Zieger, Stefan Babanin, Alexander Young, Ian Swinburne University of Technology 2013 http://hdl.handle.net/1959.3/313852 http://www.geophysical-research-abstracts.net unknown Copernicus Publications http://hdl.handle.net/1959.3/313852 http://www.geophysical-research-abstracts.net Copyright © 2013 The author(s). This work is distributed under the Creative Commons Attribution 3.0 Unported License (https://creativecommons.org/licenses/by/3.0/). The published version is reproduced in accordance with this policy. Geophysical Research Abstracts: European Geosciences Union General Assembly (EGU 2013), Vienna, Austria, 07-12 April 2013, Vol. 15 (2013) Journal article 2013 ftswinburne 2023-05-08T22:28:08Z Data collected from ships, remote-sensing satellites, and numerical re-analysis indicate that on average the wind speed at the ocean surface has increased in recent decades. The magnitude of reported trends vary in different studies based on dataset, data coverage, and method used. Observations of the ocean surface by satellites, namely altimeter and SSM/I, provide a reasonable long dataset with global coverage. This well calibrated and validated dataset is analysed for linear trends for regional mean time series and mean time series for each calendar month over the period of 1991-2008. The data indicate that the observed global trend is not uniformly distributed and can be linked to a signi_cant uptrend in regional average time series across equatorial regions and the Southern Ocean. When analysing trends for each calendar month, only the Southern Ocean showed a consistent increase in surface winds for at least three continuous months. Although altimeter trends are consistently stronger than trends from SSM/I, this study shows that when normalised by the global average the two datasets feature similar characteristics. For example, trends form regional average time series are typically 1.3-2.0 times the global average trend. Differences exist when looking at absolute trend estimates and therefore the true trend at the near surface remains inconclusive for some regions. The data also showed that in the month of May, one of largest uptrend was found across the North Indian Ocean which may indicate a shift in onset time of the monsoon season. Article in Journal/Newspaper Southern Ocean Swinburne University of Technology: Swinburne Research Bank Southern Ocean Indian |
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Open Polar |
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Swinburne University of Technology: Swinburne Research Bank |
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ftswinburne |
language |
unknown |
description |
Data collected from ships, remote-sensing satellites, and numerical re-analysis indicate that on average the wind speed at the ocean surface has increased in recent decades. The magnitude of reported trends vary in different studies based on dataset, data coverage, and method used. Observations of the ocean surface by satellites, namely altimeter and SSM/I, provide a reasonable long dataset with global coverage. This well calibrated and validated dataset is analysed for linear trends for regional mean time series and mean time series for each calendar month over the period of 1991-2008. The data indicate that the observed global trend is not uniformly distributed and can be linked to a signi_cant uptrend in regional average time series across equatorial regions and the Southern Ocean. When analysing trends for each calendar month, only the Southern Ocean showed a consistent increase in surface winds for at least three continuous months. Although altimeter trends are consistently stronger than trends from SSM/I, this study shows that when normalised by the global average the two datasets feature similar characteristics. For example, trends form regional average time series are typically 1.3-2.0 times the global average trend. Differences exist when looking at absolute trend estimates and therefore the true trend at the near surface remains inconclusive for some regions. The data also showed that in the month of May, one of largest uptrend was found across the North Indian Ocean which may indicate a shift in onset time of the monsoon season. |
author2 |
Swinburne University of Technology |
format |
Article in Journal/Newspaper |
author |
Zieger, Stefan Babanin, Alexander Young, Ian |
spellingShingle |
Zieger, Stefan Babanin, Alexander Young, Ian Changes in monthly value of ocean surface winds |
author_facet |
Zieger, Stefan Babanin, Alexander Young, Ian |
author_sort |
Zieger, Stefan |
title |
Changes in monthly value of ocean surface winds |
title_short |
Changes in monthly value of ocean surface winds |
title_full |
Changes in monthly value of ocean surface winds |
title_fullStr |
Changes in monthly value of ocean surface winds |
title_full_unstemmed |
Changes in monthly value of ocean surface winds |
title_sort |
changes in monthly value of ocean surface winds |
publisher |
Copernicus Publications |
publishDate |
2013 |
url |
http://hdl.handle.net/1959.3/313852 http://www.geophysical-research-abstracts.net |
geographic |
Southern Ocean Indian |
geographic_facet |
Southern Ocean Indian |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Geophysical Research Abstracts: European Geosciences Union General Assembly (EGU 2013), Vienna, Austria, 07-12 April 2013, Vol. 15 (2013) |
op_relation |
http://hdl.handle.net/1959.3/313852 http://www.geophysical-research-abstracts.net |
op_rights |
Copyright © 2013 The author(s). This work is distributed under the Creative Commons Attribution 3.0 Unported License (https://creativecommons.org/licenses/by/3.0/). The published version is reproduced in accordance with this policy. |
_version_ |
1768375716869570560 |