The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets

Linés, Clara; Werner, Micha; Bastiaanssen, Wim

doi:https://doi.org/10.5194/hess-21-4747-2017

Articles | Volume 21, issue 9

https://doi.org/10.5194/hess-21-4747-2017

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

https://doi.org/10.5194/hess-21-4747-2017

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

Articles | Volume 21, issue 9

Research article

|

22 Sep 2017

Research article |

| 22 Sep 2017

The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets

Clara Linés, Micha Werner, and Wim Bastiaanssen

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Final revised paper (published on 22 Sep 2017)
Supplement to the final revised paper
Preprint (discussion started on 17 Jan 2017)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets', Azin Wright, 12 Feb 2017
- AC1: 'Reply to reviewer 1 comments', Clara Lines, 14 Mar 2017
  - AC2: 'Annex to reply: Figures', Clara Lines, 15 Mar 2017
RC2: 'Review of Lines et al.', Anonymous Referee #2, 03 Apr 2017
- AC3: 'Reply to reviewer 2 comments', Clara Lines, 04 May 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by Editor and Referees) (24 May 2017) by Hannah Cloke

AR by Clara Linés on behalf of the Authors (02 Jun 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (19 Jun 2017) by Hannah Cloke

RR by Anonymous Referee #2 (26 Jul 2017)

ED: Publish subject to technical corrections (11 Aug 2017) by Hannah Cloke

AR by Clara Linés on behalf of the Authors (24 Aug 2017) Author's response Manuscript

Short summary

This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.