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...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Ian R. Young, Ebru Kirezci, Agustinus Ribal
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2020
Subjects:
Q
Online Access:https://doi.org/10.3390/rs12182920
https://doaj.org/article/a5c2c8dc578b452c893dc8a8c212b357
id ftdoajarticles:oai:doaj.org/article:a5c2c8dc578b452c893dc8a8c212b357
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:a5c2c8dc578b452c893dc8a8c212b357 2023-05-15T17:29:54+02:00 The Global Wind Resource Observed by Scatterometer Ian R. Young Ebru Kirezci Agustinus Ribal 2020-09-01T00:00:00Z https://doi.org/10.3390/rs12182920 https://doaj.org/article/a5c2c8dc578b452c893dc8a8c212b357 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/18/2920 https://doaj.org/toc/2072-4292 doi:10.3390/rs12182920 2072-4292 https://doaj.org/article/a5c2c8dc578b452c893dc8a8c212b357 Remote Sensing, Vol 12, Iss 2920, p 2920 (2020) wind speed extreme value analysis scatterometer Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12182920 2022-12-31T15:06:24Z 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. Article in Journal/Newspaper North Atlantic Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean Pacific Indian New Zealand Remote Sensing 12 18 2920
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic wind speed
extreme value analysis
scatterometer
Science
Q
spellingShingle wind speed
extreme value analysis
scatterometer
Science
Q
Ian R. Young
Ebru Kirezci
Agustinus Ribal
The Global Wind Resource Observed by Scatterometer
topic_facet wind speed
extreme value analysis
scatterometer
Science
Q
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 Article in Journal/Newspaper
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 MDPI AG
publishDate 2020
url https://doi.org/10.3390/rs12182920
https://doaj.org/article/a5c2c8dc578b452c893dc8a8c212b357
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, Vol 12, Iss 2920, p 2920 (2020)
op_relation https://www.mdpi.com/2072-4292/12/18/2920
https://doaj.org/toc/2072-4292
doi:10.3390/rs12182920
2072-4292
https://doaj.org/article/a5c2c8dc578b452c893dc8a8c212b357
op_doi https://doi.org/10.3390/rs12182920
container_title Remote Sensing
container_volume 12
container_issue 18
container_start_page 2920
_version_ 1766125139113541632