Dynamic modeling of GNSS troposphere wet delay for estimation of Precipitable Water Vapour

Ahmed El-Mowafy, Johnny Lo
2014 Journal of Applied Geodesy  
Proper dynamic modelling of the troposphere wet delay using the Global Navigation Satellite Systems (GNSS) measurements is important in precise point positioning and in estimation of the Precipitable Water Vapour (PWV) for weather forecast. The random walk (RW) and the rst-order Gauss-Markov (GM) autocorrelation models are commonly used for this purpose. However, it was found that these models consistently underestimate the temporal correlations that exist among the troposphere wet delay.
more » ... re wet delay. Therefore, a new dynamic model is proposed. The performance of the proposed model in following the autocorrelation of actual data is demonstrated and its impact on the near-real time estimation of the wet delay was tested and compared to that of the GM and RW models. Results showed that the proposed model outperformed these models. When the computed wet delays were used to compute PWV, their estimated values were very close to actual PWV data measured by radiosonde with di erences less than 1 mm.
doi:10.1515/jag-2013-0012 fatcat:6my5ly5pvbgbdjpe4ycy56zyna