Some aspects of mathematical modeling using the models together with observational data

The methods of the solution of optimization problems on the basis of variational principle are described. They use numerical models together with observational data. In particularly, the problems of sensitivity investigations and data assimilation are considered. The algorithmic advantages of the proposed approach based on the adjoint problems and sensitivity functions as compared with the Kalman filtering methods are discussed.