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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Manuscript not accepted for further review
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Cited articles

Abdullah, M. F., Siraj, S., and Hodgett, R. E.: An overview of Multi-Criteria Decision Analysis (MCDA) application in managing water-related disaster events: Analyzing 20 years of literature for flood and drought events, Water, 13, 1358, https://doi.org/10.3390/w13101358, 2021. 
Aich, V., Liersch, S., Vetter, T., Fournet, S., Andersson, J. C. M., Calmanti, S., van Weert, F. H. A., Hattermann, F. F., and Paton, E. N.: Flood projections within the Niger River Basin under future land use and climate change, Sci. Total Environ., 562, 666–677, https://doi.org/10.1016/j.scitotenv.2016.04.021, 2016. 
Andersson, J. and Ibrahim, A.: Interview about the FANFAR project for the European Development Days (the Green Deal for a Sustainable Future; 15–16 June 2021, #edd21), https://youtu.be/OrrpG6wZmhI (last access: 9 June 2022), 2021. 
Andersson, J., Ali, A., Arheimer, B., Crochemore, L., Gbobaniyi, B., Gustafsson, D., Hamatan, M., Kuller, M., Lienert, J., Machefer, M., Magashi, U., Mathot, E., Minoungou, B., Naranjo, A., Ndayizigiye, T., Pacini, F., Silva Pinto, F., Santos, L., and Shuaib, A.: Flood forecasting and alerts in West Africa – experiences from co-developing a pre-operational system at regional scale, EGU General Assembly 2020, online, 4–8 May 2020, https://doi.org/10.5194/egusphere-egu2020-7660, 2020a. 
Andersson, J., Santos, L., Isberg, K., Gustafsson, D., Musuuza, J., Minoungou, B., and Crochemore, L.: Deliverable: D3.2. Report documenting and explaining the hydrological models, European Union, Horizon 2020, Innovation Action ICT programme, project 780118 FANFAR, https://doi.org/10.13140/RG.2.2.17369.85601, 41 pp., 2020b. 
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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.