Continuous global positioning system (GPS) stations propagate biases and spurious signals into the derived parameter time series when the measurements are subject to site-specific effects, such as multipath. This is a particular problem in the investigation of geophysical and atmospheric phenomena where signals may be small in magnitude. A methodology to remove these erroneous signals from long-term time series will significantly increase the usefulness of the derived time series. This work provides the theoretical basis for use of an empirical site model (ESM) derived from post-fit phase residuals to mitigate unmodelled site-specific errors.
King, M., McClusky, S., Moore, M., Tregoning, P., Watson, C. Empirical modelling of site-specific errors in continuous GPS data. Springer Berlin Heidelberg, 2014 с.887-900,.
King, M., McClusky, S., Moore, M., Tregoning, P., Watson, C. Empirical modelling of site-specific errors in continuous GPS data. Springer Berlin Heidelberg, 2014 с.887-900,.
King, M., McClusky, S., Moore, M., Tregoning, P., Watson, C. (2014) Empirical modelling of site-specific errors in continuous GPS data, Springer Berlin Heidelberg с.887-900,.
King, M., McClusky, S., Moore, M., Tregoning, P., & Watson, C. (2014). Empirical modelling of site-specific errors in continuous GPS data. Springer Berlin Heidelberg, с.887-900.
King M, McClusky S, Moore M, Tregoning P, Watson C. Empirical modelling of site-specific errors in continuous GPS data. Springer Berlin Heidelberg; 2014. p. с.887-900.
