Paper
17 October 2023 Analysis of seasonal anomalies of recovered salinity in the Sea of Azov in 2000–2018 by climatology
Author Affiliations +
Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 127803X (2023) https://doi.org/10.1117/12.2685162
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation
Abstract
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tatiana Ya. Shulga and Vyacheslav V. Suslin "Analysis of seasonal anomalies of recovered salinity in the Sea of Azov in 2000–2018 by climatology", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 127803X (17 October 2023); https://doi.org/10.1117/12.2685162
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Climatology

Data modeling

Error analysis

Light absorption

Satellites

In situ remote sensing

Statistical analysis

Back to Top