Articles | Volume 11, issue 9
Research article
11 Sep 2018
Research article |  | 11 Sep 2018

Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting

Biyan Chen, Wujiao Dai, Zhizhao Liu, Lixin Wu, Cuilin Kuang, and Minsi Ao

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Cited articles

Ahrens, C. and Samson, P.: Extreme weather and climate, 1 Edn., 22 February 2010, Brooks Cole, United States of America, 2011.
Alshawaf, F., Fuhrmann, T., Knopfler, A., Luo, X., Mayer, M., Hinz, S., and Heck, B.: Accurate Estimation of Atmospheric Water Vapor Using GNSS Observations and Surface Meteorological Data, IEEE Trans. Geosci. Remote Sens., 53, 3764–3771,, 2015.
Alshawaf, F., Balidakis, K., Dick, G., Heise, S., and Wickert, J.: Estimating trends in atmospheric water vapor and temperature time series over Germany, Atmos. Meas. Tech., 10, 3117–3132,, 2017.
Askne, J. and Nordius, H.: Estimation of tropospheric delay for microwaves from surface weather data, Radio Sci., 22, 379–386, 1987.
Short summary
The lack of collocated meteorological data at GNSS stations makes it difficult to take full advantage of GNSS observations for weather studies. This research demonstrates the potentials of retrieving accurate PWV from GNSS using adjacent synoptic data and generating high-quality PWV maps from the GNSS network for weather prediction in near-real time. Results also demonstrate that it's possible to reveal the moisture advection, transportation and convergence during heavy rainfalls using PWV maps.