Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Swedish Meteorological and Hydrological Institute (SMHI), Hydrology Research, 601 76 Norrköping, Sweden
Daniel Hofmann
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Francisco Silva Pinto
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
Eawag: Swiss Federal Institute of Aquatic Science & Technology, Environmental Social Sciences (ESS) Department, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland
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Total article views: 2,706 (including HTML, PDF, and XML)
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2,014
635
57
2,706
205
35
40
HTML: 2,014
PDF: 635
XML: 57
Total: 2,706
Supplement: 205
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EndNote: 40
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
(calculated since 06 Oct 2021)
Total article views: 1,658 (including HTML, PDF, and XML)
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1,264
354
40
1,658
91
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HTML: 1,264
PDF: 354
XML: 40
Total: 1,658
Supplement: 91
BibTeX: 29
EndNote: 30
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads
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Total article views: 1,048 (including HTML, PDF, and XML)
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750
281
17
1,048
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10
HTML: 750
PDF: 281
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Total: 1,048
Supplement: 114
BibTeX: 6
EndNote: 10
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
(calculated since 06 Oct 2021)
Viewed (geographical distribution)
Total article views: 2,706 (including HTML, PDF, and XML)
Thereof 2,518 with geography defined
and 188 with unknown origin.
Total article views: 1,658 (including HTML, PDF, and XML)
Thereof 1,567 with geography defined
and 91 with unknown origin.
Total article views: 1,048 (including HTML, PDF, and XML)
Thereof 951 with geography defined
and 97 with unknown origin.
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.
Many western Africans encounter serious floods every year. The FANFAR project co-designed a...