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
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GNSS
- ONS1_0.3mm.csv (11.68 MB)
- ONS1_2.0mm.csv (11.38 MB)
- ONSA_0.3mm.csv (11.75 MB)
- ONSA_2.0mm.csv (11.38 MB)
- OTT1_0.3mm.csv (11.06 MB)
- OTT1_2.0mm.csv (10.94 MB)
- OTT2_0.3mm.csv (11.06 MB)
- OTT2_2.0mm.csv (10.97 MB)
- OTT3_0.3mm.csv (11.14 MB)
- OTT3_2.0mm.csv (11.07 MB)
- OTT4_0.3mm.csv (11.05 MB)
- OTT4_2.0mm.csv (11.14 MB)
- OTT5_0.3mm.csv (11.06 MB)
- OTT5_2.0mm.csv (11.01 MB)
- OTT6_0.3mm.csv (11.17 MB)
- OTT6_2.0mm.csv (11.2 MB)
- WVR
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Citation
Creator/Principal investigator(s)
Gunnar Elgered - Chalmers University of Technology, Space, Earth and Environmental Science
Tong Ning - The Swedish Mapping, Cadastral and Land Registration Authority
Research principal
Chalmers University of Technology - Space, Earth and Environmental Science
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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Language
Time period(s) investigated
2022-03-01 – 2023-12-31
Data format / data structure
Geographic spread
Geographic location: Onsala Parish
Geographic description: The atmosphere above the Onsala Space Observatory
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)
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