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

SND-ID: 2024-515. Version: 1. DOI: https://doi.org/10.5878/14a7-f035

Citation

Creator/Principal investigator(s)

Gunnar Elgered - Chalmers University of Technology, Space, Earth and Environmental Science orcid

Tong Ning - The Swedish Mapping, Cadastral and Land Registration Authority

Research principal

Chalmers University of Technology - Space, Earth and Environmental Science rorId

Description

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 0.05mm compared to when LWC values of up to 0.7mm 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 a 14% reduction in the root-mean-square (rms) difference for the east gradients. The corresponding values for the north gradi

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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 0.05mm compared to when LWC values of up to 0.7mm 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 a 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 were 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. Show less..

Data contains personal data

No

Language

Method and outcome

Time period(s) investigated

2022-03-01 – 2023-12-31

Data format / data structure

Data collection
  • Instrument: Global Navigational Satellite Systems
  • Temporal resolution: 5 minute
Geographic coverage

Geographic spread

Geographic location: Onsala Parish

Geographic description: The atmosphere above the Onsala Space Observatory

Administrative information

Responsible department/unit

Space, Earth and Environmental Science

Contributor(s)

The Swedish Mapping, Cadastral and Land Registration Authority rorId

Topic and keywords

Research area

Earth and related environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Meteorology and atmospheric sciences (Standard för svensk indelning av forskningsämnen 2011)

Climatology / meteorology / atmosphere (INSPIRE topic categories)

Publications

Ning, T. and Elgered, G. (2024).
Atmospheric horizontal gradients measured with eight co-located GNSS stations and a microwave radiometer. Atmos. Meas. Tech. Discussions. https://doi.org/10.5194/egusphere-2024-2716
DOI: https://doi.org/10.5194/egusphere-2024-2716

Published: 2025-01-16