Articles | Volume 11, issue 9
https://doi.org/10.5194/amt-11-5153-2018
https://doi.org/10.5194/amt-11-5153-2018
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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (25 Jul 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (13 Aug 2018) by Roeland Van Malderen
AR by Biyan Chen on behalf of the Authors (21 Aug 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (22 Aug 2018) by Roeland Van Malderen
AR by Biyan Chen on behalf of the Authors (22 Aug 2018)  Author's response    Manuscript
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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.