Error correction of wind speed measurement for dropwindsonde
A wind speed correction software for 0~16 km dropwindsonde was designed as a countermeasure to the problem of hyster-esis error of dropwindsonde in the process of wind speed change. Computational fluid dynamics (CFD) method was utilized to simu-late for dropwindsonde in different high altitude and wind speeds. The BP neural network model was used subsequently based on the simulation results to fit the wind speed error correction equations,which were embedded into the designed software for practical application. Additionally,to verify the accuracy of the equations,the outfield sounding device placement experiments were carried out. The experimental results show that the root mean square error (RMSE) and the mean absolute error (MAE) of the wind speed values corrected by the system software concerning the reference values are 0.371 m·s-1 and 0.138 m·s-1,respectively,indicating a significantly improvement of the wind speed measurement accuracy.