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Investigation of North Atlantic Salinity Long-Term Trends Based on Historical Datasetsстатья Исследовательская статья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Sukhonos Pavel, Gusev Anatoly, Diansky Nikolay
- Журнал: Journal of Marine Science and Engineering
- Том: 12
- Номер: 8
- Год издания: 2024
- Издательство: MDPI
- Местоположение издательства: Basel, Switzerland
- Первая страница: 1404
- Последняя страница: 1417
- DOI: 10.3390/jmse12081404
- Аннотация: 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-termchanges 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. Forthe71-yearperiodunder 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 upperocean 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.
- Добавил в систему: Дианский Николай Ардальянович