Global scatterometer wind resource
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...
Main Authors: | , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
University of Melbourne
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.26188/12932630 https://melbourne.figshare.com/articles/dataset/Global_scatterometer_wind_resource/12932630 |
id |
ftdatacite:10.26188/12932630 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.26188/12932630 2023-05-15T17:30:22+02:00 Global scatterometer wind resource IAN YOUNG Kirezci, Ebru AGUSTINUS RIBAL 2020 https://dx.doi.org/10.26188/12932630 https://melbourne.figshare.com/articles/dataset/Global_scatterometer_wind_resource/12932630 unknown University of Melbourne https://dx.doi.org/10.3390/rs12121997 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 40105 Climatology excl. Climate Change Processes FOS Earth and related environmental sciences dataset Dataset 2020 ftdatacite https://doi.org/10.26188/12932630 https://doi.org/10.3390/rs12121997 2021-11-05T12:55:41Z 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. Dataset North Atlantic Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Indian New Zealand Pacific Southern Ocean |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
40105 Climatology excl. Climate Change Processes FOS Earth and related environmental sciences |
spellingShingle |
40105 Climatology excl. Climate Change Processes FOS Earth and related environmental sciences IAN YOUNG Kirezci, Ebru AGUSTINUS RIBAL Global scatterometer wind resource |
topic_facet |
40105 Climatology excl. Climate Change Processes FOS Earth and related environmental sciences |
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 |
Dataset |
author |
IAN YOUNG Kirezci, Ebru AGUSTINUS RIBAL |
author_facet |
IAN YOUNG Kirezci, Ebru AGUSTINUS RIBAL |
author_sort |
IAN YOUNG |
title |
Global scatterometer wind resource |
title_short |
Global scatterometer wind resource |
title_full |
Global scatterometer wind resource |
title_fullStr |
Global scatterometer wind resource |
title_full_unstemmed |
Global scatterometer wind resource |
title_sort |
global scatterometer wind resource |
publisher |
University of Melbourne |
publishDate |
2020 |
url |
https://dx.doi.org/10.26188/12932630 https://melbourne.figshare.com/articles/dataset/Global_scatterometer_wind_resource/12932630 |
geographic |
Indian New Zealand Pacific Southern Ocean |
geographic_facet |
Indian New Zealand Pacific Southern Ocean |
genre |
North Atlantic Southern Ocean |
genre_facet |
North Atlantic Southern Ocean |
op_relation |
https://dx.doi.org/10.3390/rs12121997 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.26188/12932630 https://doi.org/10.3390/rs12121997 |
_version_ |
1766126740192624640 |