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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Published in:Remote Sensing
Main Authors: Tollinger, Mathias, Graversen, Rune, Johnsen, Harald
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2021
Subjects:
Online Access:https://hdl.handle.net/10037/23517
https://doi.org/10.3390/rs13224655
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author Tollinger, Mathias
Graversen, Rune
Johnsen, Harald
author_facet Tollinger, Mathias
Graversen, Rune
Johnsen, Harald
author_sort Tollinger, Mathias
collection University of Tromsø: Munin Open Research Archive
container_issue 22
container_start_page 4655
container_title Remote Sensing
container_volume 13
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.
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op_doi https://doi.org/10.3390/rs13224655
op_relation Remote Sensing
info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/
FRIDAID 1963481
doi:10.3390/rs13224655
https://hdl.handle.net/10037/23517
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/23517 2025-04-13T14:11:28+00:00 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/ FRIDAID 1963481 doi:10.3390/rs13224655 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 2025-03-14T05:17:57Z 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
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
title 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_short High-resolution polar low winds obtained from unsupervised sar wind retrieval
title_sort high-resolution polar low winds obtained from unsupervised sar wind retrieval
topic VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
topic_facet VDP::Mathematics and natural science: 400::Physics: 430
VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
url https://hdl.handle.net/10037/23517
https://doi.org/10.3390/rs13224655