High-resolution polar low winds obtained from unsupervised sar wind retrieval
High-resolution sea surface observations by spaceborne synthetic aperture radar (SAR) instruments are sorely neglected resources for meteorological applications in polar regions. Such radar observations provide information about wind speed and direction based on wind-induced roughness of the sea sur...
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Online Access: | https://hdl.handle.net/10037/23517 https://doi.org/10.3390/rs13224655 |
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ftunivtroemsoe:oai:munin.uit.no:10037/23517 2023-05-15T14:25:30+02:00 High-resolution polar low winds obtained from unsupervised sar wind retrieval Tollinger, Mathias Graversen, Rune Johnsen, Harald 2021-11-18 https://hdl.handle.net/10037/23517 https://doi.org/10.3390/rs13224655 eng eng MDPI Remote Sensing info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Tollinger, Graversen, Johnsen. High-resolution polar low winds obtained from unsupervised sar wind retrieval. Remote Sensing. 2021;13(22) FRIDAID 1963481 doi:10.3390/rs13224655 2072-4292 https://hdl.handle.net/10037/23517 openAccess Copyright 2021 The Author(s) VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.3390/rs13224655 2021-12-29T23:55:45Z High-resolution sea surface observations by spaceborne synthetic aperture radar (SAR) instruments are sorely neglected resources for meteorological applications in polar regions. Such radar observations provide information about wind speed and direction based on wind-induced roughness of the sea surface. The increasing coverage of SAR observations in polar regions calls for the development of SAR-specific applications that make use of the full information content of this valuable resource. Here we provide examples of the potential of SAR observations to provide details of the complex, mesoscale wind structure during polar low events, and examine the performance of two current wind retrieval methods. Furthermore, we suggest a new approach towards accurate wind vector retrieval of complex wind fields from SAR observations that does not require a priori wind direction input that the most common retrieval methods are dependent on. This approach has the potential to be particularly beneficial for numerical forecasting of weather systems with strong wind gradients, such as polar lows. Article in Journal/Newspaper Arctic University of Tromsø: Munin Open Research Archive Remote Sensing 13 22 4655 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 |
spellingShingle |
VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Tollinger, Mathias Graversen, Rune Johnsen, Harald High-resolution polar low winds obtained from unsupervised sar wind retrieval |
topic_facet |
VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 |
description |
High-resolution sea surface observations by spaceborne synthetic aperture radar (SAR) instruments are sorely neglected resources for meteorological applications in polar regions. Such radar observations provide information about wind speed and direction based on wind-induced roughness of the sea surface. The increasing coverage of SAR observations in polar regions calls for the development of SAR-specific applications that make use of the full information content of this valuable resource. Here we provide examples of the potential of SAR observations to provide details of the complex, mesoscale wind structure during polar low events, and examine the performance of two current wind retrieval methods. Furthermore, we suggest a new approach towards accurate wind vector retrieval of complex wind fields from SAR observations that does not require a priori wind direction input that the most common retrieval methods are dependent on. This approach has the potential to be particularly beneficial for numerical forecasting of weather systems with strong wind gradients, such as polar lows. |
format |
Article in Journal/Newspaper |
author |
Tollinger, Mathias Graversen, Rune Johnsen, Harald |
author_facet |
Tollinger, Mathias Graversen, Rune Johnsen, Harald |
author_sort |
Tollinger, Mathias |
title |
High-resolution polar low winds obtained from unsupervised sar wind retrieval |
title_short |
High-resolution polar low winds obtained from unsupervised sar wind retrieval |
title_full |
High-resolution polar low winds obtained from unsupervised sar wind retrieval |
title_fullStr |
High-resolution polar low winds obtained from unsupervised sar wind retrieval |
title_full_unstemmed |
High-resolution polar low winds obtained from unsupervised sar wind retrieval |
title_sort |
high-resolution polar low winds obtained from unsupervised sar wind retrieval |
publisher |
MDPI |
publishDate |
2021 |
url |
https://hdl.handle.net/10037/23517 https://doi.org/10.3390/rs13224655 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
Remote Sensing info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Tollinger, Graversen, Johnsen. High-resolution polar low winds obtained from unsupervised sar wind retrieval. Remote Sensing. 2021;13(22) FRIDAID 1963481 doi:10.3390/rs13224655 2072-4292 https://hdl.handle.net/10037/23517 |
op_rights |
openAccess Copyright 2021 The Author(s) |
op_doi |
https://doi.org/10.3390/rs13224655 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
22 |
container_start_page |
4655 |
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1766297883574796288 |