Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3805-2019
https://doi.org/10.5194/amt-12-3805-2019
Research article
 | 
12 Jul 2019
Research article |  | 12 Jul 2019

On the information content in linear horizontal delay gradients estimated from space geodesy observations

Gunnar Elgered, Tong Ning, Peter Forkman, and Rüdiger Haas

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Cited articles

Bar-Sever, Y.-E., Kroger, P. M., and Börjesson, J. A.: Estimating horizontal gradients of tropospheric path delay with a single GPS receiver, J. Geophys. Res., 103, 5019–5035, https://doi.org/10.1029/97jb03534, 1998. a, b, c, d, e, f
Bertiger, W., Desai, S. D., Haines, B., Harvey, N., Moore, A. W., Owen, S., and Weiss, J. P.: Single receiver phase ambiguity resolution with GPS data, J. Geod., 84, 327–337, https://doi.org/10.1007/s00190-010-0371-9, 2010. a
Bock, O. and Parracho, A. C.: Consistency and representativeness of integrated water vapour from ground-based GPS observations and ERA-Interim reanalysis, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-28, in review, 2019. a
Boehm, J., Werl, B., and Schuh, H.: Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data, J. Geophys. Res., 111, B02406, https://doi.org/10.1029/2005JB003629, 2006. a, b
Boehm, J. and Schuh, H.: Troposphere gradients from the ECMWF in VLBI analysis, J. Geod., 81, 403–408, https://doi.org/10.1007/s00190-007-0144-2, 2007. a, b, c, d
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Short summary
Within the EU COST Action ES1206 we have studied the horizontal variability of the atmosphere using signals from GPS satellites, distant quasars, and a microwave radiometer. We find a consistent picture: horizontal variability over timescales of months are mainly due to atmospheric pressure, whereas water vapour is the main cause of variations over times from minutes to hours. An understanding of these variations helps to improve the accuracy of GPS applications in both geodesy and meteorology.
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