Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex
The Lofoten Vortex (LV) is a quasi-permanent anticyclonic eddy with the characteristic of periodic regeneration in the Lofoten Basin (LB), which is one of the major areas of deep vertical mixing in the Nordic Sea. Our analysis of the LV contributes to our understanding of the variations in convectiv...
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ftdoajarticles:oai:doaj.org/article:a6393c67d63942d8a779e8185abc84b8 2023-06-06T11:56:19+02:00 Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex Yu Liu Jing Meng Jianhui Wang Guoqing Han Xiayan Lin Junming Chen Qiyan Ji 2023-04-01T00:00:00Z https://doi.org/10.3390/rs15071903 https://doaj.org/article/a6393c67d63942d8a779e8185abc84b8 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/7/1903 https://doaj.org/toc/2072-4292 doi:10.3390/rs15071903 2072-4292 https://doaj.org/article/a6393c67d63942d8a779e8185abc84b8 Remote Sensing, Vol 15, Iss 1903, p 1903 (2023) the Lofoten Vortex Argo profiles sea surface temperature vertical mixing Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15071903 2023-04-16T00:33:18Z The Lofoten Vortex (LV) is a quasi-permanent anticyclonic eddy with the characteristic of periodic regeneration in the Lofoten Basin (LB), which is one of the major areas of deep vertical mixing in the Nordic Sea. Our analysis of the LV contributes to our understanding of the variations in convective mixing in the LB. Based on drifter data and satellite altimeter data, the climatological results show that the LV has the sea surface characteristics of relative stability in terms of its spatial position and significant seasonal variations in its physical characteristics. Combined with the temperature and salinity data of Argo profiles, the vertical structures of the LV are presented here in terms of their spatial distribution and monthly variations. The wavelet analysis of the satellite sea surface temperature (SST) data shows that the period of SST anomaly (SSTA) in the LV sea area is 8–16 years. In the stage marked by a decreasing (increasing) trend of SSTA, the vertical mixing is strengthened (weakened). Current vertical mixing is clearly revealed by the Argo profiles, and the SSTA shows a significant impact of cooling. However, against a background of warming and freshening, this vertical mixing will be greatly weakened in the next increasing trending stage of the SSTA. Article in Journal/Newspaper Lofoten Nordic Sea Directory of Open Access Journals: DOAJ Articles Lofoten Lofoten Basin ENVELOPE(4.000,4.000,70.000,70.000) Remote Sensing 15 7 1903 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
the Lofoten Vortex Argo profiles sea surface temperature vertical mixing Science Q |
spellingShingle |
the Lofoten Vortex Argo profiles sea surface temperature vertical mixing Science Q Yu Liu Jing Meng Jianhui Wang Guoqing Han Xiayan Lin Junming Chen Qiyan Ji Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex |
topic_facet |
the Lofoten Vortex Argo profiles sea surface temperature vertical mixing Science Q |
description |
The Lofoten Vortex (LV) is a quasi-permanent anticyclonic eddy with the characteristic of periodic regeneration in the Lofoten Basin (LB), which is one of the major areas of deep vertical mixing in the Nordic Sea. Our analysis of the LV contributes to our understanding of the variations in convective mixing in the LB. Based on drifter data and satellite altimeter data, the climatological results show that the LV has the sea surface characteristics of relative stability in terms of its spatial position and significant seasonal variations in its physical characteristics. Combined with the temperature and salinity data of Argo profiles, the vertical structures of the LV are presented here in terms of their spatial distribution and monthly variations. The wavelet analysis of the satellite sea surface temperature (SST) data shows that the period of SST anomaly (SSTA) in the LV sea area is 8–16 years. In the stage marked by a decreasing (increasing) trend of SSTA, the vertical mixing is strengthened (weakened). Current vertical mixing is clearly revealed by the Argo profiles, and the SSTA shows a significant impact of cooling. However, against a background of warming and freshening, this vertical mixing will be greatly weakened in the next increasing trending stage of the SSTA. |
format |
Article in Journal/Newspaper |
author |
Yu Liu Jing Meng Jianhui Wang Guoqing Han Xiayan Lin Junming Chen Qiyan Ji |
author_facet |
Yu Liu Jing Meng Jianhui Wang Guoqing Han Xiayan Lin Junming Chen Qiyan Ji |
author_sort |
Yu Liu |
title |
Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex |
title_short |
Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex |
title_full |
Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex |
title_fullStr |
Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex |
title_full_unstemmed |
Analysis of Seasonal and Long-Term Variations in the Surface and Vertical Structures of the Lofoten Vortex |
title_sort |
analysis of seasonal and long-term variations in the surface and vertical structures of the lofoten vortex |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15071903 https://doaj.org/article/a6393c67d63942d8a779e8185abc84b8 |
long_lat |
ENVELOPE(4.000,4.000,70.000,70.000) |
geographic |
Lofoten Lofoten Basin |
geographic_facet |
Lofoten Lofoten Basin |
genre |
Lofoten Nordic Sea |
genre_facet |
Lofoten Nordic Sea |
op_source |
Remote Sensing, Vol 15, Iss 1903, p 1903 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/7/1903 https://doaj.org/toc/2072-4292 doi:10.3390/rs15071903 2072-4292 https://doaj.org/article/a6393c67d63942d8a779e8185abc84b8 |
op_doi |
https://doi.org/10.3390/rs15071903 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
7 |
container_start_page |
1903 |
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