Numerical comparison of the source identification problem with the continuation problem for the air quality evaluation scenario

In the data assimilation algorithms for the air quality applications, the source identification problem can be considered as an auxiliary one for the solution of the model state function continuation problem. The algorithm based on the ensembles of the adjoint problem solutions is applied to solve the inverse problems. The source identification and the corresponding continuation problems solution are numerically compared in the Novosibirsk city inverse modeling scenario. In the numerical experiments, the relative error for the continuation problem is less than the relative error for the source identification problem.