Developing drought impact functions for drought risk management

Bachmair, Sophie; Svensson, Cecilia; Prosdocimi, Ilaria; Hannaford, Jamie; Stahl, Kerstin

doi:https://doi.org/10.5194/nhess-17-1947-2017

Articles | Volume 17, issue 11

https://doi.org/10.5194/nhess-17-1947-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Damage of natural hazards: assessment and mitigation

https://doi.org/10.5194/nhess-17-1947-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 11

Research article

|

16 Nov 2017

Research article |

| 16 Nov 2017

Developing drought impact functions for drought risk management

Sophie Bachmair, Cecilia Svensson, Ilaria Prosdocimi, Jamie Hannaford, and Kerstin Stahl

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Final revised paper (published on 16 Nov 2017)
Preprint (discussion started on 31 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'On the applicability of drought impact functions', Anonymous Referee #1, 31 Jul 2017
- AC1: 'Reply to comments by reviewer 1', Sophie Bachmair, 13 Aug 2017
RC2: 'Review comment on paper “Developing drought impacts functions for drought risk management”', Anonymous Referee #2, 02 Aug 2017
- AC2: 'Reply to major comments by reviewer 2', Sophie Bachmair, 13 Aug 2017

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (16 Aug 2017) by Thomas Thaler

AR by Sophie Bachmair on behalf of the Authors (16 Sep 2017) Author's response Manuscript

ED: Publish as is (18 Sep 2017) by Thomas Thaler

AR by Sophie Bachmair on behalf of the Authors (29 Sep 2017)

Short summary

This study tests the potential for developing empirical drought impact functions based on hydro-meteorological drought indicators as predictors and text-based reports on drought impacts as a surrogate variable for drought damage. We showcase three data-driven modeling approaches and assess the effect of impact report quantification method.