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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Published in:Remote Sensing
Main Authors: Sarah B. Hall, Bulusu Subrahmanyam, James H. Morison
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs14010071
https://doaj.org/article/43d31a69734447c18f7304820b142fe6
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spelling 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
institution 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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