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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2020-08-01
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Series: | Wind Energy Science |
Online Access: | https://wes.copernicus.org/articles/5/1023/2020/wes-5-1023-2020.pdf |
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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 m 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 % and 5 % 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 m 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 % and 5 % 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 |
work_keys_str_mv |
AT ldemontera validationofsentinel1offshorewindsandaveragewindpowerestimationaroundireland AT tremmers validationofsentinel1offshorewindsandaveragewindpowerestimationaroundireland AT roconnell validationofsentinel1offshorewindsandaveragewindpowerestimationaroundireland AT cdesmond validationofsentinel1offshorewindsandaveragewindpowerestimationaroundireland |
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