Data Recovery of the Sea of Azov Salinity Fields Using Regression Analysis Between In Situ Data and Regional Satellite Products-Reference-Cited by-同舟云学术

Data Recovery of the Sea of Azov Salinity Fields Using Regression Analysis Between In Situ Data and Regional Satellite Products

Published:2022-10-10 Issue:3 Volume:15 Page:114-124
ISSN:2782-5221
Container-title:Fundamental and Applied Hydrophysics
language:
Short-container-title:jour

Author:

Shulga Т. Ya.¹^ORCID,Suslin V. V.²^ORCID,Shukalo D. M.²

Affiliation:

1. Marine Hydrophysical Institute, Russian Academy of Sciences; N.N. Zubov’s State Oceanographic Institute, Roshydromet

2. Marine Hydrophysical Institute, Russian Academy of Sciences

Abstract

This study proposes a method for obtaining information on the salinity of the Sea of Azov, based on the use of contact and remote sensing data. The approach to the salinity fields recovery is based on obtaining generalized regression equations relating in situ archival data with regional biooptical products obtained from standard level-2 MODIS products. This analysis showed the possibility of using various approaches to obtain generalized empirical (regression) equations for the spring and summer seasons, the differences in which are ~10 %. The results of the recovered salinity values were verified using in situ data. It was found that the plots of the average values of the recovered salinity are in the region of 95 % of the confidence bands of the modern long-term average trends for 1986–2018 and 2000–2018. The possibility of using the results of the proposed method in the construction of spatial maps of the Azov Sea salinity, synchronized in time with satellite scenes, is shown.

Publisher

Saint-Petersburg Research Center of the Russian Academy of Science

Subject

Geophysics,Condensed Matter Physics,Water Science and Technology,Oceanography

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1. Analysis of seasonal anomalies of recovered salinity in the Sea of Azov in 2000–2018 by climatology;29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics;2023-10-17