Aiming at the problem of low temporal and spatial resolution of the driving data for tropospheric refraction correction in GNSS-IR measurements,this paper proposes to introduce Novel Tropospheric Refraction Fusion Correction Method(NTRF)to obtain high temporal and spatial resolution temperature and pressure data based on the GPT2W model using the ERA5 dataset to improve the altimetry accuracy of GNSS-IR measurements.Three GNSS stations are utilized for sea surface height measurements at two times lengths.First,the magnitude of the effect of tropospheric refraction on sea level measurement is investigated by NTRF compared to the results without tropospheric correction with the correction effect of NTRF.Second,the results of NTRF are compared with those of conventional GPT2W to explore the effect of more detailed drive data on altimetry accuracy.The results show that NTRF is able to improve altimetry accuracy,with an average improvement of 17.43％ in long time series and 19.36％ in short time series for the three stations.Compared with the traditional GPT2W,the long time series accuracy is comparable and the short time series accuracy is increased by 1.4 mm,which proves that NTRF can effectively correct the tropospheric refraction error and improve the GNSS-IR sea level measurement accuracy.
GNSS-IRsea level measurementtropospheric refraction correctiondata fusiontemperature and pressure
万方数据
维普
