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

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

doi:https://doi.org/10.5194/amt-11-5153-2018

Articles | Volume 11, issue 9

https://doi.org/10.5194/amt-11-5153-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Advanced Global Navigation Satellite Systems tropospheric...

https://doi.org/10.5194/amt-11-5153-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis ECMWF http://apps.ecmwf.int/datasets

Radiosonde data, Department of Atmospheric Science of the University of Wyoming University of Wyoming http://weather.uwyo.edu/upperair/sounding.html

National Aeronautics and Space Administration (NASA) TRMM precipitation data NASA https://pmm.nasa.gov/data-access/downloads/trmm

National Center for Atmospheric Research (NCAR) synoptic data NCAR http://rda.ucar.edu/datasets/ds336.0/T

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.