Investigation of North Atlantic Salinity Long-Term Trends Based on Historical Datasets

In contrast to fairly good knowledge of seasonal and interannual variability in North Atlantic salinity, its long-term historical changes remain poorly characterized, making it difficult to assess the current state and possible future changes. To fill this gap, we present the results of applying a non-parametric method of regression analysis (quantile regression) to assess long-term changes in North Atlantic salinity (0°–70° N, 8°–80° W) based on multiple datasets. The features of quantile trends in monthly salinity for a median value in two periods (1948–2018 and 1961–2011) are considered. In 1948–2018, salinization was generally detected in North Atlantic tropical and subtropical latitudes, while desalination was found in subpolar latitudes. For the 71-year period under consideration, the median monthly salinity in subtropical latitudes increased by 0.07±0.02 PSU. Over the period 1961–2011, pronounced long-term changes in the North Atlantic salinity are difficult to identify based on the datasets used. A consistency analysis of significant salinity trends across the most used datasets allowed us to detect five small areas with pronounced positive trends in the upper ocean salinity. These include the Guiana Current, the vicinity of 12° N, 48° W, the Canary upwelling area, the region of the Gulf Stream transition to the North Atlantic Current and the western part of the North Atlantic Subpolar Gyre. In these areas, over a 51-year period, salinity in the 10–400 m layer increased by an average of 0.10±0.04 PSU.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-08-15
DOI
https://doi.org/10.3390/jmse12081404
Citations
1
Primary Topic
Geological Studies and Exploration
Type
article
Field-Weighted Citation Impact
0.83

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article

Investigation of North Atlantic Salinity Long-Term Trends Based on Historical Datasets

A. V. Gusev, N. A. Diansky, P. A. Sukhonos
1 citations
Journal of Marine Science and Engineering
Geological Studies and Exploration
0.83
article

Investigation of North Atlantic Salinity Long-Term Trends Based on Historical Datasets

A. V. Gusev, N. A. Diansky, P. A. Sukhonos
article en
1 citations

Abstract

In contrast to fairly good knowledge of seasonal and interannual variability in North Atlantic salinity, its long-term historical changes remain poorly characterized, making it difficult to assess the current state and possible future changes. To fill this gap, we present the results of applying a non-parametric method of regression analysis (quantile regression) to assess long-term changes in North Atlantic salinity (0°–70° N, 8°–80° W) based on multiple datasets. The features of quantile trends in monthly salinity for a median value in two periods (1948–2018 and 1961–2011) are considered. In 1948–2018, salinization was generally detected in North Atlantic tropical and subtropical latitudes, while desalination was found in subpolar latitudes. For the 71-year period under consideration, the median monthly salinity in subtropical latitudes increased by 0.07±0.02 PSU. Over the period 1961–2011, pronounced long-term changes in the North Atlantic salinity are difficult to identify based on the datasets used. A consistency analysis of significant salinity trends across the most used datasets allowed us to detect five small areas with pronounced positive trends in the upper ocean salinity. These include the Guiana Current, the vicinity of 12° N, 48° W, the Canary upwelling area, the region of the Gulf Stream transition to the North Atlantic Current and the western part of the North Atlantic Subpolar Gyre. In these areas, over a 51-year period, salinity in the 10–400 m layer increased by an average of 0.10±0.04 PSU.

Journal of Marine Science and EngineeringVol. 12(8)
Russian Academy of Sciences (RU), Lomonosov Moscow State University (RU), Institute of Oceanology. PP Shirshov Russian Academy of Sciences (RU), Institute of Numerical Mathematics (RU), Roshydromet (RU), Zubov State Oceanographic Institute (RU), Institute of Natural and Technical Systems (RU)
Russian Science Foundation
Life below water
Openalex Percentile: Top 21%
Geological Studies and Exploration
0.83
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