Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland

<p>In this paper, surface wind speed and average wind power derived from Sentinel-1 Synthetic Aperture Radar Level 2 Ocean (OCN) product were validated against four weather buoys and three coastal weather stations around Ireland. A total of 1544 match-up points was obtained over a 2-year perio...

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Main Authors: L. de Montera, T. Remmers, R. O'Connell, C. Desmond
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
Series:Wind Energy Science
Online Access:https://wes.copernicus.org/articles/5/1023/2020/wes-5-1023-2020.pdf
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spelling doaj-a708e90edde34f408bb493369deb36982020-11-25T03:39:29ZengCopernicus PublicationsWind Energy Science2366-74432366-74512020-08-0151023103610.5194/wes-5-1023-2020Validation of Sentinel-1 offshore winds and average wind power estimation around IrelandL. de MonteraT. RemmersR. O'ConnellC. Desmond<p>In this paper, surface wind speed and average wind power derived from Sentinel-1 Synthetic Aperture Radar Level 2 Ocean (OCN) product were validated against four weather buoys and three coastal weather stations around Ireland. A total of 1544 match-up points was obtained over a 2-year period running from May 2017 to May 2019. The match-up comparison showed that the satellite data underestimated the wind speed compared to in situ devices, with an average bias of 0.4&thinsp;m&thinsp;s<span class="inline-formula"><sup>−1</sup></span>, which decreased linearly as a function of average wind speed. Long-term statistics using all the available data, while assuming a Weibull law for the wind speed, were also produced and resulted in a significant reduction of the bias. Additionally, the average wind power was found to be consistent with in situ data, resulting in an error of 10&thinsp;% and 5&thinsp;% for weather buoys and coastal stations, respectively. These results show that the Sentinel-1 Level 2 OCN product can be used to estimate the wind resource distribution, even in coastal areas. Maps of the average and seasonal wind speed and wind power illustrated that the error was spatially dependent, which should be taken into consideration when working with Sentinel-1 Synthetic Aperture Radar data.</p>https://wes.copernicus.org/articles/5/1023/2020/wes-5-1023-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author L. de Montera
T. Remmers
R. O'Connell
C. Desmond
spellingShingle L. de Montera
T. Remmers
R. O'Connell
C. Desmond
Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland
Wind Energy Science
author_facet L. de Montera
T. Remmers
R. O'Connell
C. Desmond
author_sort L. de Montera
title Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland
title_short Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland
title_full Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland
title_fullStr Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland
title_full_unstemmed Validation of Sentinel-1 offshore winds and average wind power estimation around Ireland
title_sort validation of sentinel-1 offshore winds and average wind power estimation around ireland
publisher Copernicus Publications
series Wind Energy Science
issn 2366-7443
2366-7451
publishDate 2020-08-01
description <p>In this paper, surface wind speed and average wind power derived from Sentinel-1 Synthetic Aperture Radar Level 2 Ocean (OCN) product were validated against four weather buoys and three coastal weather stations around Ireland. A total of 1544 match-up points was obtained over a 2-year period running from May 2017 to May 2019. The match-up comparison showed that the satellite data underestimated the wind speed compared to in situ devices, with an average bias of 0.4&thinsp;m&thinsp;s<span class="inline-formula"><sup>−1</sup></span>, which decreased linearly as a function of average wind speed. Long-term statistics using all the available data, while assuming a Weibull law for the wind speed, were also produced and resulted in a significant reduction of the bias. Additionally, the average wind power was found to be consistent with in situ data, resulting in an error of 10&thinsp;% and 5&thinsp;% for weather buoys and coastal stations, respectively. These results show that the Sentinel-1 Level 2 OCN product can be used to estimate the wind resource distribution, even in coastal areas. Maps of the average and seasonal wind speed and wind power illustrated that the error was spatially dependent, which should be taken into consideration when working with Sentinel-1 Synthetic Aperture Radar data.</p>
url https://wes.copernicus.org/articles/5/1023/2020/wes-5-1023-2020.pdf
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AT cdesmond validationofsentinel1offshorewindsandaveragewindpowerestimationaroundireland
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