Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean
Salinity is the primary determinant of the Arctic Ocean’s density structure. Freshwater accumulation and distribution in the Arctic Ocean have varied significantly in recent decades and certainly in the Beaufort Gyre (BG). In this study, we analyze salinity variations in the BG region between 2012 a...
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2021
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ftdoajarticles:oai:doaj.org/article:43d31a69734447c18f7304820b142fe6 2023-05-15T14:38:14+02:00 Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean Sarah B. Hall Bulusu Subrahmanyam James H. Morison 2021-12-01T00:00:00Z https://doi.org/10.3390/rs14010071 https://doaj.org/article/43d31a69734447c18f7304820b142fe6 EN eng MDPI AG https://www.mdpi.com/2072-4292/14/1/71 https://doaj.org/toc/2072-4292 doi:10.3390/rs14010071 2072-4292 https://doaj.org/article/43d31a69734447c18f7304820b142fe6 Remote Sensing, Vol 14, Iss 71, p 71 (2021) Beaufort Gyre Arctic Ocean sea surface salinity freshwater content Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs14010071 2022-12-30T20:33:16Z Salinity is the primary determinant of the Arctic Ocean’s density structure. Freshwater accumulation and distribution in the Arctic Ocean have varied significantly in recent decades and certainly in the Beaufort Gyre (BG). In this study, we analyze salinity variations in the BG region between 2012 and 2017. We use in situ salinity observations from the Seasonal Ice Zone Reconnaissance Surveys (SIZRS), CTD casts from the Beaufort Gyre Exploration Project (BGP), and the EN4 data to validate and compare with satellite observations from Soil Moisture Active Passive (SMAP), Soil Moisture and Ocean Salinity (SMOS), and Aquarius Optimally Interpolated Sea Surface Salinity (OISSS), and Arctic Ocean models: ECCO, MIZMAS, HYCOM, ORAS5, and GLORYS12. Overall, satellite observations are restricted to ice-free regions in the BG area, and models tend to overestimate sea surface salinity (SSS). Freshwater Content (FWC), an important component of the BG, is computed for EN4 and most models. ORAS5 provides the strongest positive SSS correlation coefficient (0.612) and lowest bias to in situ observations compared to the other products. ORAS5 subsurface salinity and FWC compare well with the EN4 data. Discrepancies between models and SIZRS data are highest in GLORYS12 and ECCO. These comparisons identify dissimilarities between salinity products and extend challenges to observations applicable to other areas of the Arctic Ocean. Article in Journal/Newspaper Arctic Arctic Ocean Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Remote Sensing 14 1 71 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Beaufort Gyre Arctic Ocean sea surface salinity freshwater content Science Q |
spellingShingle |
Beaufort Gyre Arctic Ocean sea surface salinity freshwater content Science Q Sarah B. Hall Bulusu Subrahmanyam James H. Morison Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean |
topic_facet |
Beaufort Gyre Arctic Ocean sea surface salinity freshwater content Science Q |
description |
Salinity is the primary determinant of the Arctic Ocean’s density structure. Freshwater accumulation and distribution in the Arctic Ocean have varied significantly in recent decades and certainly in the Beaufort Gyre (BG). In this study, we analyze salinity variations in the BG region between 2012 and 2017. We use in situ salinity observations from the Seasonal Ice Zone Reconnaissance Surveys (SIZRS), CTD casts from the Beaufort Gyre Exploration Project (BGP), and the EN4 data to validate and compare with satellite observations from Soil Moisture Active Passive (SMAP), Soil Moisture and Ocean Salinity (SMOS), and Aquarius Optimally Interpolated Sea Surface Salinity (OISSS), and Arctic Ocean models: ECCO, MIZMAS, HYCOM, ORAS5, and GLORYS12. Overall, satellite observations are restricted to ice-free regions in the BG area, and models tend to overestimate sea surface salinity (SSS). Freshwater Content (FWC), an important component of the BG, is computed for EN4 and most models. ORAS5 provides the strongest positive SSS correlation coefficient (0.612) and lowest bias to in situ observations compared to the other products. ORAS5 subsurface salinity and FWC compare well with the EN4 data. Discrepancies between models and SIZRS data are highest in GLORYS12 and ECCO. These comparisons identify dissimilarities between salinity products and extend challenges to observations applicable to other areas of the Arctic Ocean. |
format |
Article in Journal/Newspaper |
author |
Sarah B. Hall Bulusu Subrahmanyam James H. Morison |
author_facet |
Sarah B. Hall Bulusu Subrahmanyam James H. Morison |
author_sort |
Sarah B. Hall |
title |
Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean |
title_short |
Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean |
title_full |
Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean |
title_fullStr |
Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean |
title_full_unstemmed |
Intercomparison of Salinity Products in the Beaufort Gyre and Arctic Ocean |
title_sort |
intercomparison of salinity products in the beaufort gyre and arctic ocean |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs14010071 https://doaj.org/article/43d31a69734447c18f7304820b142fe6 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_source |
Remote Sensing, Vol 14, Iss 71, p 71 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/14/1/71 https://doaj.org/toc/2072-4292 doi:10.3390/rs14010071 2072-4292 https://doaj.org/article/43d31a69734447c18f7304820b142fe6 |
op_doi |
https://doi.org/10.3390/rs14010071 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
1 |
container_start_page |
71 |
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1766310356836155392 |