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Analysis of seasonal anomalies of recovered salinity in the Sea of Azov in 2000-2018 by climatology  id статьи: 2940
Тип публикации
материалы конференции
Язык
En
Журнал
Proceedings of SPIE - The International Society for Optical Engineering. 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2023; Moscow; Russian Federation; 26 June 2023 до 30 June 2023

ISSN:0277786
Год
2023
Выходные данные
том 12780
выпуск
страницы № 127803X
EDN
Абстракт
In this work, we obtained the results of salinity recovery in the Sea of Azov for the 19-year period 2000-2018, obtained on the basis of a regression model using regional biooptical parameters according to MODIS-Terra/Aqua data. To analyzed the deviations of the average monthly values of the restored salinity relative to climatology for 1913-2018. The results of the estimating of average monthly salinity anomalies in the spring and summer seasons relative to the climatic fields of salinity in the maps. Based on the comparison of the average monthly values of the reconstructed and observed in situ salinity, conclusions are drawn about the feasibility of using a regression model obtained by direct averaging of regression coefficients. The most effective regional bio-optical parameter determined, in terms of the best correlation of reconstructed salinity versus in situ measurements.
Ключевые слова
correlation, in situ data, MODIS-Aqua/Terra, ocean-color data, regional bio-optical algorithm, regression, salinity, Sea of Azov
Дата занесения
2023-11-20 23:09:01
Scopus
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FNNN-2021-0003