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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 2, pp. 61-69

Investigation of the effect of assimilation of instantaneous satellite data on the reproduction of sea surface temperature in the Black and Azov Sea dynamics model

E.I. Parmuzin 1, 2 , N.R. Lezina 1 , V.I. Agoshkov 1, 2 
1 Marchuk Institute of Numerical Mathematics RAS, Moscow, Russia
2 Lomonosov Moscow State University, Moscow, Russia
Accepted: 10.04.2024
DOI: 10.21046/2070-7401-2024-21-2-61-69
The results of the effect of assimilation of operational remote sensing observation data on the reproduction of sea surface temperature in the Black and Azov Seas numerical model are presented. Sea surface temperature data, obtained via the IKI-Monitoring Center for Collective Use, from the Aqua, Terra and SNPP (Suomi National Polar-Orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project) satellites are used as observation data in the numerical experiments. The choice of the heat flux at the sea surface as a control in the assimilation procedure allows assimilating the data at the current time without additional interpolation to the subdomains where observational data are absent at the time under consideration. The INMOM (Institute of Numerical Mathematics Ocean Model) mathematical model, developed at Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, is used for numerical calculation. Results of numerical experiments with assimilation of sea surface temperature from Aqua and Terra satellites and comparison of calculations with the data from the SNPP satellite have confirmed the possibility to use the considered assimilation procedure in the numerical model and to construct realistic reanalysis fields of hydrothermodynamic quantities.
Keywords: sea surface temperature, variational data assimilation, satellite data, collective use center
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