VISÃO GERAL DA FANFAR APRESENTAÇÃO
Uma visão geral do projeto FANFAR é apresentada neste documento.
BASE DE CONHECIMENTO
A Base de Conhecimento fornece documentação e orientações do sistema sobre como usá-lo. Clique aqui para acessar a Base de Conhecimento FANFAR.
DOCUMENTOS RELACIONADOS COM AS OFICINAS
- Workshop 1 Relatório Executivo.
- Agenda do Workshop 2, apresentações e Relatório Executivo (DOI:10.13140/RG.2.2.12756.12165)
- Workshop 3 in Abuja, 2020: agenda, presentations and Executive Report (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.
ENTREGAS DO PROJETO
- 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)
PUBLICAÇÕES
- 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
BROCHURA
English