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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Published in:Remote Sensing
Main Authors: Ian R. Young, Ebru Kirezci, Agustinus Ribal
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12182920
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spelling 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
op_collection_id 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
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