A Research to Validate the Data from Heihe River Field Experiment by Variation
用变分法修正黑河试验数据的初步研究

To modify the observational data from the Heihe River Field Experiment(HEIFE), a variational assimilation system is set up based on a vertical diffusion model in the boundary layer and a quasi-Newton minmization algorithm. The gradients of the cost function with respect to control varia- bles are calculated in the way of perturbation. The results of some experiments by using both model da- ta and some observation data in the HEIFE show that it can modify the initial fields(the atmosphere state) effciently, while making the initial fields and the coefficients of model error as control variables simultaneously. Compared with the linear interpolations(included in time and in space), variational as- similations can improve the defect in the data obtained in the HEIFE.