Identification of Wind Modified Coefficient in Numerical Weather Prediction for Trajectory Calculation

Abstract

In order to obtain the wind prediction error of numerical weather prediction(NWP)for trajectory calculation quickly and accurately, realize the numerical correction of the wind prediction error of the NWP for trajectory calculation, and improve the accuracy of artillery meteorological support, the particle trajectory model was used as the system model based on the original prediction meteorological data. The wind correction coefficients was used to describe wind prediction error, and the unscented Kalman filter algorithm was used to process the measured trajectory data and extract the wind prediction error. The identification effect of this method was verified by a segment of measured trajectory data and original meteorological data predicted by WRF model. The results show that compared with the measured wind correction coefficient, the relative errors of longitudinal wind modified coefficient and cross wind modified coefficient are 7.20% and 3.97% respectively. After correction, the errors of longitudinal wind and cross wind in the original prediction meteorological data are reduced by 85.19% and 79.27% respectively.