On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

Benevides, P.; Catalao, J.; Miranda, P. M. A.

doi:10.5194/nhess-15-2605-2015

Articles | Volume 15, issue 12

https://doi.org/10.5194/nhess-15-2605-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-15-2605-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 12

Research article

|

09 Dec 2015

Research article |

| 09 Dec 2015

On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

P. Benevides, J. Catalao, and P. M. A. Miranda

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Cumulative views and downloads (calculated since 12 Jun 2015)

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Jul 2015	17	12	0	29
Aug 2015	13	4	0	17
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Oct 2015	8	9	0	17
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Latest update: 08 Nov 2025

Short summary

Precipitable water vapour (PWV) retrieved from GPS delay data is analysed in several case studies of intense precipitation in Lisbon. It is found positive correlation between PWV behaviour and the probability of precipitation. A least-squares fitting of a broken line tendency shows that most severe rainfall occurs in descending trends after a long PWV ascending period. A simple forecast algorithm identifies the majority of large rain events, yet with a substantial amount of false positives.