This paper presents a description of algorithms for solving direct and inverse climatic and environmental problems based on a variational principle with weak constraints. The initial first-order system is supplemented by a system of equations in variations. It provides a calculation of all necessary components of the modeling system by combining the model and observation data and including first- and second-order functionals of sensitivity to variations in the model parameters, input data, and observation results.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - 10 Dec 2019|
|Event||9th International Conference on Computational Information Technologies for Environmental Sciences, CITES 2019 and International Young Scientists School 2019 - Moscow, Russian Federation|
Duration: 27 May 2019 → 6 Jun 2019