A Data Quality Control Method for High Elevation Angle in GNSS-IR Tide Level Retrieval
Objectives:Global navigation satellite system-interferometric reflectometry(GNSS-IR)technolo-gy has become one of the effective methods to retrieve tide levels by utilizing multipath information in sig-nal-to-noise ratio(SNR)data.However,it is usually necessary to limit the elevation range,resulting in less usable data and insufficient time resolution.To solve the above problems,a preprocessing data quality control method is proposed.Methods:First,the significant difference between usable and unusable data is obtained through comparative analysis.Based on this difference,a GNSS-IR data quality control method is proposed to classify SNR data and screen out unusable data by data reconstruction and building a Trans-formermodel.Second,appropriate data sets are selected to verify and evaluate the effectiveness and generaliza-tion ability of the method.Results:The results show that there are significant differences in amplitude characteristics between usable and unusable data,and the proportion of usable SNR data for 5°-30° eleva-tion is significantly improved by the proposed method,thus extending the elevation range of usable data to 5°-30° at the inversion site.Conclusions:The proposed method significantly improves the amount of usable data and the time resolution of the GNSS-IR tide level retrieval method,which is of great significance for the application of GNSS-IR technology in real-time monitoring of tsunami and storm surge,as well as ma-rine studies such as long-term sea level changes.Moreover,the method is a preprocessing data quality con-trol method,which can identify and screen unusable data before tidal level retrieval,to break through the limitation that the post-processing method needs to accumulate SNR data for a long time.Therefore,it is better applicable to a scene where the tidal level changes dramatically in a short time,such as a tsunami.
NETL
NSTL
万方数据
维普
