Atmospheric horizontal gradients measured with eight co-located GNSS stations and a microwave radiometer
Preprint, 2024

We have used eight co-located GNSS stations, with different antenna mounts, to estimate atmospheric signal propagation delays in the zenith direction
and linear horizontal gradients. The gradients are compared with the results from a water vapour radiometer (WVR).  Water drops in the atmosphere has a negative influence on the retrieval accuracy of the WVR. Hence we see a better agreement using WVR data with a liquid water content (LWC) less than 0.05 mm compared to when LWC values of up to 0.7 mm are included. We have used two different constraints when estimating the linear gradients from the GNSS data. Using a weak constraint enhances the GNSS estimates to track large gradients of short duration at the cost of increased formal errors. To mitigate random noise in the GNSS data, we adopted a fusion approach averaging estimates from the GNSS stations. This resulted in significant improvements for the agreement with WVR data, a maximum of 17 % increase in the correlation and an 14 % reduction in the root-mean-square (rms) difference for the east gradients. The corresponding values for the north gradients are both 25 %. Overall, no large differences in terms of quality is  observed for the eight GNSS stations. However, one station shows slightly poorer agreement for  the north gradients compared to the others.  This is attributed to the station's proximity to a radio telescope, which causes data loss of observations at low elevation angles in the south-south-west direction.

Author

Tong Ning

The Swedish Mapping, Cadastral and Land Registration Authority

Gunnar Elgered

Chalmers, Space, Earth and Environment, Onsala Space Observatory

Subject Categories (SSIF 2025)

Communication Systems

Meteorology and Atmospheric Sciences

Infrastructure

Onsala Space Observatory

DOI

10.5194/egusphere-2024-2716

Related datasets

Atmospheric horizontal gradients measured with eight co-located GNSS stations and a microwave radiometer [dataset]

DOI: 10.5878/14a7-f035 ID: 2024-515

More information

Latest update

1/23/2025