The Global Wind Resource Observed by Scatterometer
A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year return period wind speeds. The analysis clearl...
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ftmdpi:oai:mdpi.com:/2072-4292/12/18/2920/ 2023-08-20T04:08:15+02:00 The Global Wind Resource Observed by Scatterometer Ian R. Young Ebru Kirezci Agustinus Ribal agris 2020-09-09 application/pdf https://doi.org/10.3390/rs12182920 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs12182920 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 18; Pages: 2920 wind speed extreme value analysis scatterometer Text 2020 ftmdpi https://doi.org/10.3390/rs12182920 2023-08-01T00:04:35Z A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year return period wind speeds. The analysis clearly shows the seasonal variability of wind speeds and the differing response of the two hemispheres. The maximum wind speeds in each hemisphere are comparable but there is a much larger seasonal cycle in the northern hemisphere. As a result, the southern hemisphere has a more consistent year-round wind climate. Hence, coastal regions of southern Africa, southern Australia, New Zealand and southern South America appear particularly suited to coastal and offshore wind energy projects. The extreme value analysis shows that the highest extreme wind speeds occur in the North Atlantic Ocean with extreme wind regions concentrated along the western boundaries of the North Atlantic and North Pacific Oceans and the Indian Ocean sector of the Southern Ocean. The signature of tropical cyclones is clearly observed in each of the well-known tropical cyclone basins. Text North Atlantic Southern Ocean MDPI Open Access Publishing Southern Ocean Pacific Indian New Zealand Remote Sensing 12 18 2920 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
wind speed extreme value analysis scatterometer |
spellingShingle |
wind speed extreme value analysis scatterometer Ian R. Young Ebru Kirezci Agustinus Ribal The Global Wind Resource Observed by Scatterometer |
topic_facet |
wind speed extreme value analysis scatterometer |
description |
A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year return period wind speeds. The analysis clearly shows the seasonal variability of wind speeds and the differing response of the two hemispheres. The maximum wind speeds in each hemisphere are comparable but there is a much larger seasonal cycle in the northern hemisphere. As a result, the southern hemisphere has a more consistent year-round wind climate. Hence, coastal regions of southern Africa, southern Australia, New Zealand and southern South America appear particularly suited to coastal and offshore wind energy projects. The extreme value analysis shows that the highest extreme wind speeds occur in the North Atlantic Ocean with extreme wind regions concentrated along the western boundaries of the North Atlantic and North Pacific Oceans and the Indian Ocean sector of the Southern Ocean. The signature of tropical cyclones is clearly observed in each of the well-known tropical cyclone basins. |
format |
Text |
author |
Ian R. Young Ebru Kirezci Agustinus Ribal |
author_facet |
Ian R. Young Ebru Kirezci Agustinus Ribal |
author_sort |
Ian R. Young |
title |
The Global Wind Resource Observed by Scatterometer |
title_short |
The Global Wind Resource Observed by Scatterometer |
title_full |
The Global Wind Resource Observed by Scatterometer |
title_fullStr |
The Global Wind Resource Observed by Scatterometer |
title_full_unstemmed |
The Global Wind Resource Observed by Scatterometer |
title_sort |
global wind resource observed by scatterometer |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12182920 |
op_coverage |
agris |
geographic |
Southern Ocean Pacific Indian New Zealand |
geographic_facet |
Southern Ocean Pacific Indian New Zealand |
genre |
North Atlantic Southern Ocean |
genre_facet |
North Atlantic Southern Ocean |
op_source |
Remote Sensing; Volume 12; Issue 18; Pages: 2920 |
op_relation |
https://dx.doi.org/10.3390/rs12182920 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12182920 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
18 |
container_start_page |
2920 |
_version_ |
1774720426804510720 |