Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour

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 Perceptible Water Vapour (PWV) for weather forecast. The random walk (RW) and the first-order Gauss-Markov (GM) a...

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Main Authors: El-Mowafy, Ahmed, Lo, J.
Format: Journal Article
Published: de Gruyter 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/37065
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author El-Mowafy, Ahmed
Lo, J.
author_facet El-Mowafy, Ahmed
Lo, J.
author_sort El-Mowafy, Ahmed
building Curtin Institutional Repository
collection Online Access
description 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 Perceptible Water Vapour (PWV) for weather forecast. The random walk (RW) and the first-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 ZWD estimates. 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 ZWD was tested and compared to that of the GM and RW models. Results showed that the proposed model outperformed these models. When the computed ZWD were used to compute PWV, their estimated values were very close to actual PWV data measured by radiosonde with differences less than 1 mm.
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spelling curtin-20.500.11937-370652017-10-02T02:28:10Z Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour El-Mowafy, Ahmed Lo, J. GNSS dynamic modeling troposphere wet delay Perceptible Water Vapour 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 Perceptible Water Vapour (PWV) for weather forecast. The random walk (RW) and the first-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 ZWD estimates. 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 ZWD was tested and compared to that of the GM and RW models. Results showed that the proposed model outperformed these models. When the computed ZWD were used to compute PWV, their estimated values were very close to actual PWV data measured by radiosonde with differences less than 1 mm. 2014 Journal Article http://hdl.handle.net/20.500.11937/37065 10.1515/jag-2013-0012 de Gruyter fulltext
spellingShingle GNSS
dynamic modeling
troposphere wet delay
Perceptible Water Vapour
El-Mowafy, Ahmed
Lo, J.
Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour
title Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour
title_full Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour
title_fullStr Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour
title_full_unstemmed Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour
title_short Dynamic Modelling of GNSS Troposphere Wet delay for Estimation of Precipitable Water Vapour
title_sort dynamic modelling of gnss troposphere wet delay for estimation of precipitable water vapour
topic GNSS
dynamic modeling
troposphere wet delay
Perceptible Water Vapour
url http://hdl.handle.net/20.500.11937/37065