Accurate Estimation of Atmospheric Water Vapor Using GNSS Observations and Surface Meteorological Data


Remote sensing information are increasingly used to live the content of water vapor within the atmosphere and to characterize its temporal and spatial variations. In this paper, we use observations from World Navigation Satellite System(s) (GNSS) to estimate time series of precipitable water vapor (PWV) by applying the technique of precise point positioning. For an accurate quantification of the absolute PWV, it is necessary to combine the GNSS observations with meteorological information measured directly or inferred at the GNSS web site. Additionally, measurements of the surface temperature are used to calculate the empirical constant required to convert the GNSS-based delay into water vapor. Our results show sturdy agreement between the overall precipitable water estimated based on GNSS observations and that measured by the sensor MEdium Resolution Imaging Spectrometer with a mean RMS value of 0.98 mm. In a similar means, we compared the GNSS-based total PWV estimates with those created by the Weather Analysis and Forecasting (WRF) Modeling System. We tend to found that the WRF model simulations agree well with the GNSS estimates with a mean RMS price of 0.97 mm.

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