All-sky meteor radars are widely employed to observe the near-space atmospheric wind field, a crucial parameter of the near-space environment. Owing to the spatiotemporal uncertainty in meteor count distribution, meteor radars may encounter measurement errors and data gaps when retrieving atmospheric wind fields. Using Kalman filter assimilation technology in combination with the HWM14, this study utilizes atmospheric wind field observation data from the Qujing meteor radar (25.6°N, 103.7°E) to study atmospheric horizontal wind fields within the altitude range of 80–100 km. The assimilation results indicate that the accuracy of the HWM14′s atmospheric wind field is significantly improved after Kalman filter-based assimilation. The discrepancy between the assimilated wind field analysis values and the meteor radar wind field values is notably reduced: the average maximum error of zonal wind speed is 12.0 m/s at 90 km altitude, representing a 55.0% improvement compared to the pre-assimilation state; the average maximum error of the meridional wind speed is 14.2 m/s at 100 km altitude, a 53.4% improvement. Furthermore, the standard deviation of the deviation between the assimilated wind field analysis values and the meteor radar wind field values is also substantially decreased. The assimilated atmospheric wind field information holds great significance for further investigating atmospheric disturbance variations and dynamic processes in the near-space region.
Sun et al. (Tue,) studied this question.