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

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

doi:https://doi.org/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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Final revised paper (published on 09 Dec 2015)
Preprint (discussion started on 12 Jun 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC C1594: 'acknowledgements', Fundacao FCUL, 31 Aug 2015
RC C1802: 'review comments', Anonymous Referee #1, 23 Sep 2015
- AC C2198: 'reviewer 1 answers', Fundacao FCUL, 06 Nov 2015
RC C1876: 'Review of 'On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall'', Anonymous Referee #2, 02 Oct 2015
- AC C2200: 'reviewer 2 answers', Fundacao FCUL, 06 Nov 2015

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.