On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea
In the present paper, we investigate the sea surface height (SSH) anomalies caused by polar lows (PLs) crossing the central part of the Barents Sea and verify if the barotropic response is detectable in the shallow Arctic seas. Analysis of the SSH anomalies in response to the passage of two PLs is p...
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ftmdpi:oai:mdpi.com:/2072-4292/15/17/4239/ 2023-10-01T03:53:54+02:00 On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea Vladimir Kudryavtsev Anastasiia Stokoz Kirill Khvorostovsky agris 2023-08-29 application/pdf https://doi.org/10.3390/rs15174239 eng eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs15174239 https://creativecommons.org/licenses/by/4.0/ Remote Sensing Volume 15 Issue 17 Pages: 4239 polar low ocean barotropic response air-sea interaction satellite altimetry sea surface height anomaly Text 2023 ftmdpi https://doi.org/10.3390/rs15174239 2023-09-03T23:53:18Z In the present paper, we investigate the sea surface height (SSH) anomalies caused by polar lows (PLs) crossing the central part of the Barents Sea and verify if the barotropic response is detectable in the shallow Arctic seas. Analysis of the SSH anomalies in response to the passage of two PLs is performed using satellite altimeter measurements and model simulations. The observed SSH anomalies contained an inverse barometer correction; therefore, they were presumably caused only by the action of surface wind stress in the PLs. The SSH anomalies along the satellite altimeter tracks had the shape of a trough, with the lowest surface height near the center of the PL. The observed anomalies were well distinguished within about one day after the PL passage, with the largest negative value of 0.6 m. The SSH anomalies are analyzed using a simplified model of the ocean barotropic response to the surface wind stress, derived from the hourly wind fields provided in the ERA5 reanalysis dataset. The model quantitatively reproduced the SSH anomalies along most satellite altimeter tracks crossing the PL trajectories. The model simulations revealed that the largest negative SSH anomalies were observed in areas where the PL translation velocity was low and its moving direction changed with the trajectory curvature radius, which was much smaller than the barotropic radius of deformation. The estimated quasi-geostrophic current velocities corresponding to the SSH anomalies in the wakes of the PLs reached 0.15 m/s, which were comparable to the current velocities observed in the Barents Sea. Text Arctic Barents Sea MDPI Open Access Publishing Arctic Barents Sea Remote Sensing 15 17 4239 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
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English |
topic |
polar low ocean barotropic response air-sea interaction satellite altimetry sea surface height anomaly |
spellingShingle |
polar low ocean barotropic response air-sea interaction satellite altimetry sea surface height anomaly Vladimir Kudryavtsev Anastasiia Stokoz Kirill Khvorostovsky On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea |
topic_facet |
polar low ocean barotropic response air-sea interaction satellite altimetry sea surface height anomaly |
description |
In the present paper, we investigate the sea surface height (SSH) anomalies caused by polar lows (PLs) crossing the central part of the Barents Sea and verify if the barotropic response is detectable in the shallow Arctic seas. Analysis of the SSH anomalies in response to the passage of two PLs is performed using satellite altimeter measurements and model simulations. The observed SSH anomalies contained an inverse barometer correction; therefore, they were presumably caused only by the action of surface wind stress in the PLs. The SSH anomalies along the satellite altimeter tracks had the shape of a trough, with the lowest surface height near the center of the PL. The observed anomalies were well distinguished within about one day after the PL passage, with the largest negative value of 0.6 m. The SSH anomalies are analyzed using a simplified model of the ocean barotropic response to the surface wind stress, derived from the hourly wind fields provided in the ERA5 reanalysis dataset. The model quantitatively reproduced the SSH anomalies along most satellite altimeter tracks crossing the PL trajectories. The model simulations revealed that the largest negative SSH anomalies were observed in areas where the PL translation velocity was low and its moving direction changed with the trajectory curvature radius, which was much smaller than the barotropic radius of deformation. The estimated quasi-geostrophic current velocities corresponding to the SSH anomalies in the wakes of the PLs reached 0.15 m/s, which were comparable to the current velocities observed in the Barents Sea. |
format |
Text |
author |
Vladimir Kudryavtsev Anastasiia Stokoz Kirill Khvorostovsky |
author_facet |
Vladimir Kudryavtsev Anastasiia Stokoz Kirill Khvorostovsky |
author_sort |
Vladimir Kudryavtsev |
title |
On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea |
title_short |
On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea |
title_full |
On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea |
title_fullStr |
On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea |
title_full_unstemmed |
On Barotropic Response of Arctic Seas to Polar Lows: A Case Study in the Barents Sea |
title_sort |
on barotropic response of arctic seas to polar lows: a case study in the barents sea |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15174239 |
op_coverage |
agris |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Barents Sea |
genre_facet |
Arctic Barents Sea |
op_source |
Remote Sensing Volume 15 Issue 17 Pages: 4239 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs15174239 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs15174239 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
17 |
container_start_page |
4239 |
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1778520980617953280 |