PRESENTATION DE FANFAR
Une vue d’ensemble du projet FANFAR est présentée dans ce document.
BASE DE CONNAISSANCE
La base de connaissance fournit un système de documentation et des instructions sur son utilisation. Cliquez ici pour accéder à la base de connaissance FANFAR.
DOCUMENTS LIES AUX ATELIERS
- Atelier 1: Rapport Exécutif
- Atelier 2: Programme, présentations et rapport Exécutif (DOI:10.13140/RG.2.2.12756.12165)
- Atelier 3: Programme, présentations et rapport Exécutif (DOI:10.13140/RG.2.2.10658.96966)
- Feedback session, online in 2021: agenda and presentations.
- Final stakeholder meeting, online in 2021: agenda and presentations.
RAPPORTS DU PROJET
Ces rapports sont en Anglais.
- D1.6 FANFAR project website and brochure (WP1)
- D2.1 Report activities to establish co-design committee, stakeholder analysis (WP2)
- D2.2 Report on co-design process (WP2, DOI: 10.13140/RG.2.2.27436.18564)
- D2.3 Report on technical verification results (WP2, DOI: 10.13140/RG.2.2.22822.45128)
- D3.1 Report documenting and explaining the data access interfaces (WP3, DOI: 10.13140/RG.2.2.14433.84324)
- D3.2 Report documenting and explaining the hydrological models (WP3, DOI: 10.13140/RG.2.2.17369.85601)
- D3.3 Report documenting and explaining the information derivation (WP3, DOI: 10.13140/RG.2.2.16111.56483)
- D3.4 Demonstrator of distribution channels deployed and pre-operational (WP3)
- D4.1 Report describing capacity development activities and material (WP4, DOI: 10.13140/RG.2.2.12336.69123)
- D4.2 Website: OHFA support section on H-TEP (WP4)
PUBLICATIONS
- Kuller, M., Beutler, P., Lienert, J., 2023. Preference change in stakeholder group-decision processes in the public sector: Extent, causes and implications. European Journal of Operational Research 308, 1268–1285. https://doi.org/10.1016/j.ejor.2022.12.001
- 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. Hydrol. Earth Syst. Sci. 26, 2899–2922. https://doi.org/10.5194/hess-26-2899-2022
- Santos, L., Andersson, J.C.M., Arheimer, B., 2022. Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set. Hydrological Sciences Journal 67, 342–357. https://doi.org/10.1080/02626667.2022.2035388
- Kuller, M., Schoenholzer, K., Lienert, J., 2021. Creating effective flood warnings: A framework from a critical review. Journal of Hydrology 602, 126708. https://doi.org/10.1016/j.jhydrol.2021.126708
- Hohmann, T., 2021. Review of Early Warning Dissemination in Media and Assessment of Flood Early Warning Systems in Media: A case study in West Africa (Master Thesis). ETH Zurich. https://doi.org/10.3929/ethz-b-000468483
- Massazza, G., Tarchiani, V., Andersson, J.C.M., Ali, A., Ibrahim, M.H., Pezzoli, A., De Filippis, T., Rocchi, L., Minoungou, B., Gustafsson, D., Rosso, M., 2020. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River. Water 12, 3504. https://doi.org/10.3390/w12123504
- Arheimer, B., Pimentel, R., Isberg, K., Crochemore, L., Andersson, J.C.M., Hasan, A., Pineda, L., 2020. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation. Hydrology and Earth System Sciences 24, 535–559. https://doi.org/10.5194/hess-24-535-2020
BROCHURE
English