High temporal resolution wet delay gradients estimated from multi-GNSS and microwave radiometer observations
Artikel i vetenskaplig tidskrift, 2021

We have used 1 year of multi-GNSS observations at the Onsala Space Observatory on the Swedish west coast to estimate the linear horizontal gradients in the wet propagation delay. The estimated gradients are compared to the corresponding ones from a microwave radiometer. We have investigated different temporal resolutions from 5 min to 1 d. Relative to the GPS-only solution and using an elevation cutoff angle of 10 and a temporal resolution of 5 min, the improvement obtained for the solution using GPS, Glonass, and Galileo data is an increase in the correlation coefficient of 11 % for the east gradient and 20 % for the north gradient. Out of all the different GNSS solutions, the highest correlation is obtained for the east gradients and a resolution of 2 h, while the best agreement for the north gradients is obtained for 6 h. The choice of temporal resolution is a compromise between getting a high correlation and the possibility of detecting rapid changes in the gradient. Due to the differences in geometry of the observations, gradients which happen suddenly are either not captured at all or captured but with much less amplitude by the GNSS data. When a weak constraint is applied in the estimation of process, the GNSS data have an improved ability to track large gradients, however, at the cost of increased formal errors.

Författare

Tong Ning

Lantmäteriet

Gunnar Elgered

Chalmers, Rymd-, geo- och miljövetenskap, Onsala rymdobservatorium, Rymdgeodesi och geodynamik

Atmospheric Measurement Techniques

1867-1381 (ISSN) 1867-8548 (eISSN)

Vol. 14 5593-5605

Drivkrafter

Hållbar utveckling

Ämneskategorier

Fjärranalysteknik

Meteorologi och atmosfärforskning

Fundament

Grundläggande vetenskaper

Infrastruktur

Onsala rymdobservatorium

DOI

10.5194/amt-14-5593-2021

Relaterade dataset

High temporal resolution wet delay gradients estimated from multi-GNSS and microwave radiometer observations [dataset]

DOI: 10.5878/fyt8-bs80 URI: https://doi.org/10.5878/fyt8-bs80 ID: 2021-219

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Senast uppdaterat

2021-09-13