Multi-model approach to quantify groundwater-level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios

Mustafa, Syed M. Touhidul; Hasan, M. Moudud; Saha, Ajoy Kumar; Rannu, Rahena Parvin; Van Uytven, Els; Willems, Patrick; Huysmans, Marijke

doi:https://doi.org/10.5194/hess-23-2279-2019

Articles | Volume 23, issue 5

https://doi.org/10.5194/hess-23-2279-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-23-2279-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 5

Research article

|

13 May 2019

Research article |

| 13 May 2019

Multi-model approach to quantify groundwater-level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios

Syed M. Touhidul Mustafa, M. Moudud Hasan, Ajoy Kumar Saha, Rahena Parvin Rannu, Els Van Uytven, Patrick Willems, and Marijke Huysmans

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Final revised paper (published on 13 May 2019)
Supplement to the final revised paper
Preprint (discussion started on 10 Dec 2018)
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: 'review of Multi-model approach to quantify groundwater level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios', Anonymous Referee #1, 20 Jan 2019
- AC1: 'HESS-2018-580__Response to Reviewer Comments', Syed Md Touhidul Mustafa, 09 Mar 2019
RC2: 'Referee comment on "Multi-model approach to quantify groundwater level prediction uncertainty using an ensemble of global climate models and multiple abstraction scenarios"', Anonymous Referee #2, 25 Jan 2019
- AC2: 'HESS-2018-580__Response to Reviewer Comments', Syed Md Touhidul Mustafa, 09 Mar 2019

Peer-review completion

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

ED: Publish subject to minor revisions (further review by editor) (27 Mar 2019) by Philippe Ackerer

AR by Syed Md Touhidul Mustafa on behalf of the Authors (05 Apr 2019) Author's response

ED: Publish as is (24 Apr 2019) by Philippe Ackerer

AR by Syed Md Touhidul Mustafa on behalf of the Authors (24 Apr 2019) Manuscript

Short summary

This study evaluates the effect of conceptual hydro(geo)logical model (CHM) structure, climate change and groundwater abstraction on future groundwater-level prediction uncertainty. If the current groundwater abstraction trend continues, groundwater level is predicted to decline quickly. Groundwater abstraction in NW Bangladesh should decrease by 60 % to ensure sustainable use. Abstraction scenarios are the dominant uncertainty source, followed by CHM uncertainty and climate model uncertainty.