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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2,997
1,017
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4,100
323
89
106
HTML: 2,997
PDF: 1,017
XML: 86
Total: 4,100
Supplement: 323
BibTeX: 89
EndNote: 106
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
(calculated since 06 Oct 2021)
Total article views: 2,933 (including HTML, PDF, and XML)
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EndNote
2,217
648
68
2,933
166
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HTML: 2,217
PDF: 648
XML: 68
Total: 2,933
Supplement: 166
BibTeX: 82
EndNote: 95
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads
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Total article views: 1,167 (including HTML, PDF, and XML)
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780
369
18
1,167
157
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11
HTML: 780
PDF: 369
XML: 18
Total: 1,167
Supplement: 157
BibTeX: 7
EndNote: 11
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,100 (including HTML, PDF, and XML)
Thereof 3,907 with geography defined
and 193 with unknown origin.
Total article views: 2,933 (including HTML, PDF, and XML)
Thereof 2,839 with geography defined
and 94 with unknown origin.
Total article views: 1,167 (including HTML, PDF, and XML)
Thereof 1,068 with geography defined
and 99 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...