| This is part of work-package 3300, the purpose of which is
and correction of GPS temporal error correlations.
Objectives: To develop and test a model for the temporal correlation of ground-based GPS observation errors in 4-dimensional variational data assimilation.
Methodology/Work Description: With the introduction of 4-dimensional variational data assimilation several observations from the assimilation window, for example a 6 hour period, and from the same station may be utilised. Experiences from the 4D-Var assimilation of surface observations have shown that the sensitivity of the assimilation to systematic observation errors may become critical and that models for the temporal correlation of observation errors need to be specified (Jaervinen et al, 2000). Furthermore, due to the coding design of variational data assimilation schemes, it may be easier to implement models for the temporal correlation of errors, rather than models for the spatial correlations of errors. Models for the temporal correlation will alternatively be developed from innovation vectors, i.e. differences between GPS observations and model data, or from differences between GPS observations and high quality radiosonde observations.
The efficiency of the developed temporal error correlation model will be implemented and tested through data assimilation and forecast experiments with and without application of the error correlation model.
As in WP3200 we will also make use of the existing snad new time series of vertical position estimates. The temporal correlation - or decorrelation with time - will be studied. Studies indicate so far decorrelation times fo the order 2-4 days. We will based on results from more extensive studies try to separate the observed temporal variations in the ZTD, estimated using GPS data, into the decorrelation of the signal (ZTD) and the GPS error.
At DMI a 4DVar impact study have been made to test a model for correction of the temporal error correlations of GPS ZTDs. The simulation and results are described in the DMI report on HIRLAM 4DVar results: D24-HIRLAM-4dvar-results.pdf