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.

Highlights

  • Space geodetic techniques, where the fundamental observable is a radio signal’s time of arrival at a station on the surface of the Earth, are affected by variations in the propagation velocity in the atmosphere

  • Because time measurements avoid problems related to accurate calibration, which are common for systems measuring different types of emissions, it is a common view that Global Navigation Satellite Systems (GNSSs) have a long-term stability and are well suited for climate monitoring, e.g. in terms of the atmospheric water vapour content

  • Three different studies are made using the following data: (1) assessment of the impact of using different processing of the Global Positioning System (GPS) data, primarily varying the elevation cut-off angle, by comparison to the water vapour radiometer (WVR) gradients; (2) using the GPS gradients from the processing variant showing the best agreement with the WVR gradients, the seasonal variations in the wet gradient are characterized; and (3) a 15 d long period with very-long-baseline interferometry (VLBI) data is used as a case study for comparisons with GPS and WVR wet gradients and the zenith wet delay (ZWD)

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Summary

Introduction

Space geodetic techniques, where the fundamental observable is a radio signal’s time of arrival at a station on the surface of the Earth, are affected by variations in the propagation velocity in the atmosphere. We have studied estimated gradients primarily from Global Positioning System (GPS) data from Swedish GNSS stations by comparing these gradients to independent measurements. The question about the seasonal changes of gradients was previously studied by Koulali et al (2012) Another issue is that comparisons of estimated GPS gradients with a high temporal resolution are rather sparse and have, to our knowledge, so far not covered periods of many years. We report on comparisons between GPS and WVR gradients, with a temporal resolution of 15 min, over a more or less continuous 4-year period With such a resolution it is, for example, possible to study convective systems (Brenot et al, 2013) and the relation between the temporal variability of the gradients and the zenith wet delay (ZWD) during the passage of weather fronts.

Cause of horizontal gradients and models
Instrumentation and data
Microwave radiometer
Very-long-baseline interferometry
Summary of datasets
Seasonal variations in horizontal gradients
Wet gradients at the Onsala site
Test of GPS processing variants relative to WVR data
Wet gradients from GPS and WVR
Conclusions and suggestions for future work
Full Text
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