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Comparative analysis of Black Sea surface salinity, according to SMAP remote sensing observations and in situ oceanographic data  id статьи: 3547
Тип публикации
статья в журнале
Язык
En
Журнал
Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa

ISSN:20707401
Год
2025
Выходные данные
том 22
выпуск 3
страницы 235 - 243
EDN
Абстракт
The purpose of this work is to evaluate remote sensing observations of sea surface salinity (SSS) in the Black Sea. To solve the problem, a comparative analysis of salinity in the Black Sea for 2015–2021 based on the Soil Moisture Active Passive (SMAP) data and in situ oceanographic measurements was performed. It was found that SMAP products underestimate average annual SSS values by 0.25– 0.30 psu compared to in situ observations. However, remote sensing data preserve interannual trends in the Black Sea salinity demonstrated by in situ measurements and can replace them with due consideration of the obtained deviations. At the same time, average annual SMAP SSS data show greater tendencies towards salinization with a lower estimate of the averages compared to in situ observations. It is shown that the best agreement between the SMAP mean SSS values and ship observations is provided by the smoothed product with a resolution of 70 km. The results of the surface salinity analysis indicate trends towards stable salinization over the observation period from 2015 to 2021 at a rate of ~0.09 psu/year according to SMAP data and ~0.06 psu/year according to in situ data. © 2025, Space Research Institute of the Russian Academy of Sciences.
Ключевые слова
Black Sea, Bland–Altman plot, desalination, remote sensing data, salinization, SMAP, surface salinity
Дата занесения
2025-08-24 19:27:31 (квартал- II)
Scopus
Статус есть
Квартиль Q2
WoS
Статус нет
Квартиль --
РИНЦ
Статус нет
Импакт-фактор --
количество баллов за публикацию
3
количество баллов каждому автору
1.5
Финансирование:

FNNN-2024-0012
Анализ, диагноз и оперативный прогноз состояния гидрофизических и гидрохимических полей морских акваторий на основе математического моделирования с использованием данных дистанционных и контактных методов измерений