A Simplified Model for the Retrieval of Precipitable Water Vapor From GPS Signal

A Simplified Model for the Retrieval of Precipitable Water Vapor From GPS Signal
Title:
A Simplified Model for the Retrieval of Precipitable Water Vapor From GPS Signal
Other Titles:
IEEE Transactions on Geoscience and Remote Sensing
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Publication Date:
01 November 2017
Citation:
S. Manandhar, Y. H. Lee, Y. S. Meng and J. T. Ong, "A Simplified Model for the Retrieval of Precipitable Water Vapor From GPS Signal," in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6245-6253, Nov. 2017, doi: 10.1109/TGRS.2017.2723625.
Abstract:
In this paper, a simplified latitude and day-of-year (DoY)-based model is proposed for the retrieval of precipitable water vapor (PWV) from global positioning system (GPS) signal. Conventionally, PWV, the total amount of water in a vertical column of a unit cross-sectional area, is estimated from the GPS signal delay and a dimensionless conversion factor PI. This PI value is found to rely on a water vapor weighted mean temperature (T m ) value which varies widely across the day, month, and year for different regions. It is, therefore, both time specific and site specific. Analysis of the PI value and its effect on the retrieved PWV from the data obtained for tropical, subtropical, and temperate regions show that although the PI value is time and site specific, the change in the median value of PI for different years is minimal and is dependent only on factors like the latitude coordinates of the particular site and the DoY. Therefore, using the data obtained from 174 different sites, a latitude-coordinate and DoY-based PI value model for the retrieval of PWV is proposed in this paper. The proposed model has been successfully validated using data from different databases: the International GNSS Service Global Positioning System National Aeronautics and Space Administration (IGS GPS NASA) database, the International GNSS Service Global Positioning System Global Geodetic Observing System (IGS GPS GGOS) database, and the very-long-baseline interferometry (VLBI) database. Results show strong agreement between PWV values calculated using the proposed model and those calculated using the temperature dependent models with 99%, 98%, and 93% of error within ±1 mm for IGS GPS NASA, IGS GPS GGOS, and VLBI databases, respectively. Moreover, the proposed model allows for the ease of PWV retrieval, which is useful in meteorological studies and also applicable in satellite communications.
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Funding Info:
This research is supported by the Core Funding of A*STAR, Singapore.
Description:
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ISSN:
0196-2892
1558-0644
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