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- W2768815481 abstract "Direct variational data assimilation algorithm for the non-stationary one-dimensional advection-diffusion model and in situ measurements is presented. Data assimilation is carried out by adjusting the uncertainty (control) function that has the sense of the emission sources. In the algorithm a target functional containing the misfit between the modeled and measured values and a regularizer, containing a norm of the control function derivative, is minimized on every time step of the discretized advection-diffusion model. The minimum is obtained by the solution of the tri-diagonal matrix system. The performance of the algorithm was evaluated in the numerical experiments." @default.
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- W2768815481 date "2017-09-01" @default.
- W2768815481 modified "2023-09-23" @default.
- W2768815481 title "Direct data assimilation algorithms for advection-diffusion models with the increased smoothness of the uncertainty functions" @default.
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- W2768815481 doi "https://doi.org/10.1109/sibircon.2017.8109853" @default.
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