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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3,067
1,057
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4,215
338
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114
HTML: 3,067
PDF: 1,057
XML: 91
Total: 4,215
Supplement: 338
BibTeX: 93
EndNote: 114
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
(calculated since 06 Oct 2021)
Total article views: 3,036 (including HTML, PDF, and XML)
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EndNote
2,286
677
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3,036
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85
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HTML: 2,286
PDF: 677
XML: 73
Total: 3,036
Supplement: 178
BibTeX: 85
EndNote: 101
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads
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Total article views: 1,179 (including HTML, PDF, and XML)
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781
380
18
1,179
160
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13
HTML: 781
PDF: 380
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Total: 1,179
Supplement: 160
BibTeX: 8
EndNote: 13
Views and downloads (calculated since 06 Oct 2021)
Cumulative views and downloads
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Total article views: 4,215 (including HTML, PDF, and XML)
Thereof 4,023 with geography defined
and 192 with unknown origin.
Total article views: 3,036 (including HTML, PDF, and XML)
Thereof 2,944 with geography defined
and 92 with unknown origin.
Total article views: 1,179 (including HTML, PDF, and XML)
Thereof 1,079 with geography defined
and 100 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...