An Approach of Three-Dimensional Variational Data Assimilation Based on Historical Sample Projection
一种基于历史样本投影的三维变分同化方法

As an important role in mesoscale numerical weather forecasts, initial conditions (ICs) of atmosphere affect the prediction skills directly. Due to the existing noises in observation, and the irregularly spatial and temporal distributions of observation, data assimilation approaches are required to provide mesoscale numerical weather forecasts with optimal ICs. Because the standard three-dimensional variational data assimilation (3DVar) method lacks model constraints and uses a background error covariance m...