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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2023 Volume 63, Number 5, Pages 803–826 (Mi zvmmf11557)

Mathematical physics

Data assimilation for the two-dimensional ambipolar diffusion equation in Earth’s ionosphere model

V. P. Dymnikovab, D. V. Kulyaminab, P. A. Ostaninac, V. P. Shutyaevac

a Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Moscow, Russia
b Fedorov Institute of Applied Geophysics, 129128, Moscow, Russia
c Moscow Institute of Physics and Technology (National Research University), 141701, Dolgoprudnyi, Moscow oblast, Russia

Abstract: The problem of variational data assimilation for the INM RAS two-dimensional diffusion model of the Earth’s ionosphere F region is considered. Total integral electron contents along given paths are used as observation data. The general statement of the problem in differential form is formulated, and its solvability is analyzed. Based on a regularized statement, an iterative algorithm for solving the assimilation problem is constructed, and its convergence is demonstrated. A finite-dimensional approximation is constructed, the numerical solution of the problem is implemented, and the stability and convergence of the difference scheme are proved. The quality of the reconstruction of electron concentration fields is examined in test numerical experiments. It is shown that a weakly perturbed solution is reconstructed with acceptable accuracy for both stationary and evolutionary statements in the case of vertical and slant integration paths.

Key words: ionosphere, ambipolar diffusion, inverse problems, variational data assimilation, numerical simulation.

UDC: 519.635.6

Received: 11.08.2022
Revised: 05.10.2022
Accepted: 02.02.2023

DOI: 10.31857/S0044466923050101


 English version:
Computational Mathematics and Mathematical Physics, 2023, 63:5, 845–867

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© Steklov Math. Inst. of RAS, 2024