The use of ensemble Kalman filter for the planning of adaptive observations

Observations are one of the main elements influencing the result of the data assimilation procedure in the models. The additional sources of observations such as the aircraft data have appeared recently. In view of this, the problem arose of receiving the additional observations to specify the result of the data assimilation procedure. The approaches are considered to the estimation of the areas of additional observations for the increase in the accuracy of analysis and forecast in the data assimilation procedure. A technique of observational network planning using the ensemble Kalman filter is proposed. The results are given of numerical experiments on the estimation of the algorithm properties using the model based on the barotropic quasi-geostrophic vortex equation.