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. Journal of Geodesy. Springer Berlin Heidelberg, 88 (9), с.887-900.
