Articles | Volume 26, issue 11
https://doi.org/10.5194/hess-26-2899-2022
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, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller

Data sets

Data for scientific paper (on Eawag Research Data Institutional Collection, ERIC): The role of MCDA in a transdisciplinary process: Co-developing a flood forecasting system in West Africa Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller https://doi.org/10.25678/000629

Video supplement

Interview about the FANFAR project for the European Development Days (the Green Deal for a Sustainable Future; 15.–16.06.2021, #edd21) Jafet Andersson and Aishat Ibrahim https://youtu.be/OrrpG6wZmhI

Video introducing the visualization portal of FANFAR FANFAR consortium https://youtu.be/GjGUkapNpus

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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.