Using rainfall thresholds and ensemble precipitation forecasts to issue and improve urban inundation alerts

Yang, Tsun-Hua; Hwang, Gong-Do; Tsai, Chin-Cheng; Ho, Jui-Yi

doi:https://doi.org/10.5194/hess-20-4731-2016

Articles | Volume 20, issue 12

https://doi.org/10.5194/hess-20-4731-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-4731-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 12

Research article

|

30 Nov 2016

Research article |

| 30 Nov 2016

Using rainfall thresholds and ensemble precipitation forecasts to issue and improve urban inundation alerts

Tsun-Hua Yang, Gong-Do Hwang, Chin-Cheng Tsai, and Jui-Yi Ho

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Final revised paper (published on 30 Nov 2016)
Preprint (discussion started on 29 Jul 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Yang et al., “Using rainfall thresholds and ensemble precipitation forecasts to issue and improve urban inundation alerts”', Anonymous Referee #1, 10 Aug 2016
- AC1: 'Reply to the comment', Tsun-Hua Yang, 26 Oct 2016
RC2: 'Review Report', Anonymous Referee #2, 16 Sep 2016
- AC2: 'Reply to the comment', Tsun-Hua Yang, 26 Oct 2016
AC3: 'The reply and revised manuscript are uploaded', Tsun-Hua Yang, 27 Oct 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by Editor) (07 Nov 2016) by Hannah Cloke

AR by Anna Mirena Feist-Polner on behalf of the Authors (09 Nov 2016) Author's response Manuscript

ED: Publish as is (16 Nov 2016) by Hannah Cloke

Short summary

Taiwan continues to suffer from floods. This study proposes the integration of rainfall thresholds and ensemble precipitation forecasts to provide probabilistic urban inundation forecasts. Utilization of ensemble precipitation forecasts can extend forecast lead times to 72 h, preceding peak flows and allowing response agencies to take necessary preparatory measures. This study also develops a hybrid of real-time observation and rainfall forecasts to improve the first 24 h inundation forecasts.