On the information content in linear horizontal delay gradients estimated from space geodesy observations
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Published:2019-07-12
Issue:7
Volume:12
Page:3805-3823
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Elgered GunnarORCID, Ning Tong, Forkman Peter, Haas RüdigerORCID
Abstract
Abstract. We have studied linear horizontal gradients in the atmospheric propagation delay above
ground-based stations receiving signals from the Global Positioning System (GPS).
Gradients were estimated from 11 years of observations from five sites in Sweden.
Comparing these gradients with the corresponding ones from the
European Centre for Medium-Range Weather Forecasts (ECMWF) analyses
shows that GPS gradients detect effects over different timescales caused
by the hydrostatic and the wet components.
The two stations equipped with microwave-absorbing material below the antenna,
in general, show higher correlation coefficients with the ECMWF gradients
compared to the other three stations.
We also estimated gradients using 4 years of GPS data from two co-located
antenna installations at the Onsala Space Observatory.
Correlation coefficients for the east and the north wet gradients, estimated
with a temporal resolution of 15 min from GPS data, can reach
up to 0.8 for specific months when compared to simultaneously estimated wet gradients
from microwave radiometry.
The best agreement is obtained when an elevation cut-off angle
of 3∘ is applied in the GPS data processing,
in spite of the fact that the radiometer does not observe below 20∘.
We also note a strong seasonal dependence in the correlation coefficients,
from 0.3 during months with smaller gradients to 0.8 during months with larger gradients,
typically during the warmer and more humid part of the year.
Finally, a case study using a 15 d long continuous very-long-baseline interferometry
(VLBI) campaign was carried out.
The comparison of the gradients estimated from VLBI and GPS data
indicates that a homogeneous and frequent sampling of the sky is a critical parameter.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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