https://doi.org/10.25678/000629
Data for: The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa
Data and Resources
Citation
This Data Package
Lienert, J., Andersson, J. C. M., Hofmann, D., Silva Pinto, F., & Kuller, M. (2022). Data for: The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa (Version 1.0) [Data set]. Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000629
The associated article
Lienert, J., Andersson, J. C. M., Hofmann, D., Silva Pinto, F., & Kuller, M. (2022). The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa. Hydrology and Earth System Sciences, 26(11), 2899–2922. https://doi.org/10.5194/hess-26-2899-2022
Metadata
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Keywords | Africa,Co-design,Evaluation,Stakeholder participation,Transdisciplinary project,Uncertainty,preference elicitation,multi-criteria decision analysis MCDA,flood early warning systems FEWS,forecast accuracy,reliability,production time,human resources,stakeholder preferences,support system,operation and maintenance costs |
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Review Level | none |
Curator | Lienert, Judit |
Contact | Lienert, Judit <Judit.Lienert@eawag.ch> |
DOI | 10.25678/000629 |