Reconstructed Wind Fields from Multi-Satellite Observations
We present and validate a method of reconstructing high-resolution sea surface wind fields from multi-sensor satellite data over the Grand Banks of Newfoundland off Atlantic Canada. Six-hourly ocean wind fields from blended products (including multi-satellite measurements) with 0.25° spatial resolut...
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ftmemorialuniv:oai:research.library.mun.ca:6321 2023-10-01T03:57:36+02:00 Reconstructed Wind Fields from Multi-Satellite Observations Tang, Ruohan Liu, Deyou Han, Guoqi Ma, Zhimin de Young, Brad 2014 application/pdf https://research.library.mun.ca/6321/ https://research.library.mun.ca/6321/1/Reconstructed.Wind.Fields.pdf https://research.library.mun.ca/6321/3/Reconstructed.Wind.Fields.pdf https://doi.org/10.3390/rs6042898 en eng MDPI https://research.library.mun.ca/6321/1/Reconstructed.Wind.Fields.pdf https://research.library.mun.ca/6321/3/Reconstructed.Wind.Fields.pdf Tang, Ruohan <https://research.library.mun.ca/view/creator_az/Tang=3ARuohan=3A=3A.html> and Liu, Deyou <https://research.library.mun.ca/view/creator_az/Liu=3ADeyou=3A=3A.html> and Han, Guoqi <https://research.library.mun.ca/view/creator_az/Han=3AGuoqi=3A=3A.html> and Ma, Zhimin <https://research.library.mun.ca/view/creator_az/Ma=3AZhimin=3A=3A.html> and de Young, Brad <https://research.library.mun.ca/view/creator_az/de_Young=3ABrad=3A=3A.html> (2014) Reconstructed Wind Fields from Multi-Satellite Observations. Remote Sensing, 6 (4). pp. 2898-2911. ISSN 2072-4292 cc_by_nc Article PeerReviewed 2014 ftmemorialuniv https://doi.org/10.3390/rs6042898 2023-09-03T06:45:47Z We present and validate a method of reconstructing high-resolution sea surface wind fields from multi-sensor satellite data over the Grand Banks of Newfoundland off Atlantic Canada. Six-hourly ocean wind fields from blended products (including multi-satellite measurements) with 0.25° spatial resolution and 226 RADARSAT-2 synthetic aperture radar (SAR) wind fields with 1-km spatial resolution have been used to reconstruct new six-hourly wind fields with a resolution of 10 km for the period from August 2008 to December 2010, except July 2009 to November 2009. The reconstruction process is based on the heapsort bucket method with topdown search and the modified Gauss–Markov theorem. The result shows that the mean difference between the reconstructed wind speed and buoy-estimated wind speed is smaller than 0.6 m/s, and the standard deviation is smaller than 2.5 m/s. The mean difference in wind direction between reconstructed and buoy estimates is 3.7°; the standard deviation is 40.2°. There is fair agreement between the reconstructed wind vectors and buoy-estimated ones. Article in Journal/Newspaper Newfoundland Memorial University of Newfoundland: Research Repository Canada Remote Sensing 6 4 2898 2911 |
institution |
Open Polar |
collection |
Memorial University of Newfoundland: Research Repository |
op_collection_id |
ftmemorialuniv |
language |
English |
description |
We present and validate a method of reconstructing high-resolution sea surface wind fields from multi-sensor satellite data over the Grand Banks of Newfoundland off Atlantic Canada. Six-hourly ocean wind fields from blended products (including multi-satellite measurements) with 0.25° spatial resolution and 226 RADARSAT-2 synthetic aperture radar (SAR) wind fields with 1-km spatial resolution have been used to reconstruct new six-hourly wind fields with a resolution of 10 km for the period from August 2008 to December 2010, except July 2009 to November 2009. The reconstruction process is based on the heapsort bucket method with topdown search and the modified Gauss–Markov theorem. The result shows that the mean difference between the reconstructed wind speed and buoy-estimated wind speed is smaller than 0.6 m/s, and the standard deviation is smaller than 2.5 m/s. The mean difference in wind direction between reconstructed and buoy estimates is 3.7°; the standard deviation is 40.2°. There is fair agreement between the reconstructed wind vectors and buoy-estimated ones. |
format |
Article in Journal/Newspaper |
author |
Tang, Ruohan Liu, Deyou Han, Guoqi Ma, Zhimin de Young, Brad |
spellingShingle |
Tang, Ruohan Liu, Deyou Han, Guoqi Ma, Zhimin de Young, Brad Reconstructed Wind Fields from Multi-Satellite Observations |
author_facet |
Tang, Ruohan Liu, Deyou Han, Guoqi Ma, Zhimin de Young, Brad |
author_sort |
Tang, Ruohan |
title |
Reconstructed Wind Fields from Multi-Satellite Observations |
title_short |
Reconstructed Wind Fields from Multi-Satellite Observations |
title_full |
Reconstructed Wind Fields from Multi-Satellite Observations |
title_fullStr |
Reconstructed Wind Fields from Multi-Satellite Observations |
title_full_unstemmed |
Reconstructed Wind Fields from Multi-Satellite Observations |
title_sort |
reconstructed wind fields from multi-satellite observations |
publisher |
MDPI |
publishDate |
2014 |
url |
https://research.library.mun.ca/6321/ https://research.library.mun.ca/6321/1/Reconstructed.Wind.Fields.pdf https://research.library.mun.ca/6321/3/Reconstructed.Wind.Fields.pdf https://doi.org/10.3390/rs6042898 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_relation |
https://research.library.mun.ca/6321/1/Reconstructed.Wind.Fields.pdf https://research.library.mun.ca/6321/3/Reconstructed.Wind.Fields.pdf Tang, Ruohan <https://research.library.mun.ca/view/creator_az/Tang=3ARuohan=3A=3A.html> and Liu, Deyou <https://research.library.mun.ca/view/creator_az/Liu=3ADeyou=3A=3A.html> and Han, Guoqi <https://research.library.mun.ca/view/creator_az/Han=3AGuoqi=3A=3A.html> and Ma, Zhimin <https://research.library.mun.ca/view/creator_az/Ma=3AZhimin=3A=3A.html> and de Young, Brad <https://research.library.mun.ca/view/creator_az/de_Young=3ABrad=3A=3A.html> (2014) Reconstructed Wind Fields from Multi-Satellite Observations. Remote Sensing, 6 (4). pp. 2898-2911. ISSN 2072-4292 |
op_rights |
cc_by_nc |
op_doi |
https://doi.org/10.3390/rs6042898 |
container_title |
Remote Sensing |
container_volume |
6 |
container_issue |
4 |
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2898 |
op_container_end_page |
2911 |
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1778529363641237504 |