Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS

Abstract

Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great significance to atmospheric research and meteorology and needs to be assessed in the use of precision positioning. Based on the atmPrf, sonPrf, and echPrf data from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) Data Analysis and Archiving Center (CDAAC) from 1 January to 31 December 2008 and 2012, we obtained the ZTDs of the radio occultation data (occZTD) and the corresponding radiosonde (sonZTD) and ECWMF data (echZTD). The ZTDs derived from ground-based global positioning system (GPS) observations from the International GNSS Service (IGS) were corrected to the lowest tangent point height of the matched radio occultation profile by the barometric height formula (gnsZTD). The statistical results show that the absolute values of the bias between occZTD and echZTD, sonZTD, or gnsZTD are less than 5 mm, and the standard deviations are approximately 20 mm or less, indicating that occZTD had significant accuracy in the GNSS positioning model even when the local spherical symmetry assumption error was introduced when the Abel inversion algorithm was used to obtain the refractive index profile of atmPrf. The effects of the horizontal/vertical matching resolution and the variation in the station height/latitude on the biases of occZTD and gnsZTD were analyzed. The results can be used to quantify the performance of radio occultation data for tropospheric delay error correction in dynamic high-precision positioning.

Rádio Ocultação GNSS: Revisão Teórica, Missões e Produtos

“…Existe uma vasta gama de investigações que ainda se faz necessária nessa área de pesquisa, não apenas em relação às novas missões, mas também quanto às configurações de processamento, metodologias envolvidas na obtenção e validação dos perfis atmosféricos e, ainda, as metodologias de assimilação dos dados de RO-GNSS em modelos atmosféricos. Diversos estudos recentes apresentam importantes contribuições em relação à atmosfera neutra (ANTHES et al, 2022;FU et al, 2022;YANG, 2022) e à ionosfera (BERGSSON;SYNDERGAARD, 2022;SUN et al, 2022;PROL et al, 2022).…”