Open AccessCorrection of the model dynamics for the Northern seas using observational altimetry data
Author(s) -
Konstantin Belyaev,
B Chetverushkin,
А. А. Кулешов,
Ilya Smirnov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/2/022113
Subject(s) - altimeter , data assimilation , satellite altimetry , satellite , climatology , kalman filter , sea surface height , meteorology , ocean current , data archive , remote sensing , environmental science , computer science , geology , geography , information retrieval , physics , astronomy , artificial intelligence
The earlier derived data assimilation method called Generalized Kalman filter (GKF) is applied in conjunction with the Nucleus for European Modelling of the Ocean (NEMO) circulation model to the calculation of the dynamics in the North Seas of Russia. By assimilating the satellite altimetry data from archive AVISO (Archiving, validating and interpolating of satellite observations) this method corrects the direct model calculations and improves the ocean state. The model fields, in particular, sea level and sea surface temperature with and without assimilation are constructed and compared with each other. The brief analysis of the results is also performed.