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: 4,418 (including HTML, PDF, and XML)
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3,228
1,090
100
4,418
360
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136
HTML: 3,228
PDF: 1,090
XML: 100
Total: 4,418
Supplement: 360
BibTeX: 101
EndNote: 136
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
(calculated since 06 Oct 2021)
Total article views: 3,216 (including HTML, PDF, and XML)
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EndNote
2,433
701
82
3,216
190
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HTML: 2,433
PDF: 701
XML: 82
Total: 3,216
Supplement: 190
BibTeX: 92
EndNote: 120
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads
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Total article views: 1,202 (including HTML, PDF, and XML)
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795
389
18
1,202
170
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16
HTML: 795
PDF: 389
XML: 18
Total: 1,202
Supplement: 170
BibTeX: 9
EndNote: 16
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,418 (including HTML, PDF, and XML)
Thereof 4,222 with geography defined
and 196 with unknown origin.
Total article views: 3,216 (including HTML, PDF, and XML)
Thereof 3,121 with geography defined
and 95 with unknown origin.
Total article views: 1,202 (including HTML, PDF, and XML)
Thereof 1,101 with geography defined
and 101 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...