Variational assimilation with covariance matrices of observation data errors for the model of the Baltic Sea dynamics

DOI10.1515/RNAM-2018-0013zbMath1391.49036OpenAlexW2808407893WikidataQ129702191 ScholiaQ129702191MaRDI QIDQ1643986

Eugene I. Parmuzin, Natalia B. Zakharova, Valery I. Agoshkov, Victor P. Shutyaev

Publication date: 20 June 2018

Published in: Russian Journal of Numerical Analysis and Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/rnam-2018-0013

zbMATH Keywords

numerical algorithmsea surface temperaturecovariance matricesvariational assimilationdetermination of heat fluxes

Mathematics Subject Classification ID

Optimality conditions for problems involving partial differential equations (49K20) Numerical optimization and variational techniques (65K10)

Related Items (2)

Sensitivity of functionals of the solution of a variational data assimilation problem with simultaneous reconstruction of heat fluxes and the initial state for the sea thermodynamics model ⋮ Methods of variational data assimilation with application to problems of hydrothermodynamics of marine water areas

Cites Work

• The Baltic Sea circulation modelling and assessment of marine pollution
• Variational assimilation of observation data in the mathematical model of the Baltic Sea dynamics
• Numerical simulation of large-scale ocean circulation based on the multicomponent splitting method
• Numerical algorithm for variational assimilation of sea surface temperature data
• A new interpolation method for observation data obtained from ARGO buoys system
• Numerical model of the Baltic Sea circulation
• An algorithm for the solution of the ocean hydrothermodynamics problem with variational assimilation of the sea level function data
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Variational assimilation with covariance matrices of observation data errors for the model of the Baltic Sea dynamics