Articles | Volume 26, issue 11
Hydrol. Earth Syst. Sci., 26, 2899–2922, 2022
https://doi.org/10.5194/hess-26-2899-2022

Special issue: Contributions of transdisciplinary approaches to hydrology...

Hydrol. Earth Syst. Sci., 26, 2899–2922, 2022
https://doi.org/10.5194/hess-26-2899-2022
Research article
13 Jun 2022
Research article | 13 Jun 2022

The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa

Judit Lienert et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-506', Anonymous Referee #1, 10 Nov 2021
    • AC1: 'Reply on RC1', Judit Lienert, 10 Dec 2021
  • RC2: 'Comment on hess-2021-506', Anonymous Referee #2, 25 Nov 2021
    • AC2: 'Reply on RC2', Judit Lienert, 10 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (13 Dec 2021) by Thomas Thaler
AR by Judit Lienert on behalf of the Authors (19 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (19 Jan 2022) by Thomas Thaler
RR by Anonymous Referee #2 (10 Feb 2022)
RR by Anonymous Referee #3 (16 Mar 2022)
ED: Publish subject to revisions (further review by editor and referees) (16 Mar 2022) by Thomas Thaler
AR by Judit Lienert on behalf of the Authors (30 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (31 Mar 2022) by Thomas Thaler
ED: Publish as is (10 May 2022) by Thomas Thaler
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Short summary
Many western Africans encounter serious floods every year. The FANFAR project co-designed a pre-operational flood forecasting system (FEWS) with 50 key western African stakeholders. Participatory multi-criteria decision analysis (MCDA) helped prioritize a FEWS that meets their needs: it should provide accurate, clear, and timely flood risk information and work reliably in tough conditions. As a theoretical contribution, we propose an assessment framework for transdisciplinary hydrology research.