Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-271-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-18-271-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Jan 2018
Research article |
| 19 Jan 2018
The influence of antecedent conditions on flood risk in sub-Saharan Africa
Konstantinos Bischiniotis
CORRESPONDING AUTHOR
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Bart van den Hurk
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3731 GA, the Netherlands
Brenden Jongman
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Global Facility for Disaster Reduction and Recovery (GFDRR), World Bank, Washington DC, USA
Erin Coughlan de Perez
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
International Research Institute for Climate and Society, Columbia University, Palisades, NY 10964, USA
Red Cross Red Crescent Climate Centre, The Hague, 2521 CV, the Netherlands
Ted Veldkamp
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Hans de Moel
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Jeroen Aerts
Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
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Cited
21 citations as recorded by crossref.
- What Will the Weather Do? Forecasting Flood Losses Based on Oscillation Indices G. Guimarães Nobre et al. 10.1029/2019EF001450
- An empirical investigation into the effect of antecedent precipitation on flood volume B. Bennett et al. 10.1016/j.jhydrol.2018.10.025
- Characterising the coincidence of soil moisture – precipitation extremes as a possible precursor to European floods A. Manoj J et al. 10.1016/j.jhydrol.2023.129445
- Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
- Climate change impacts on staple crops: Assessment of smallholder farmers’ adaptation methods and barriers I. Oluwatimilehin & A. Ayanlade 10.1016/j.crm.2023.100542
- Understanding the impacts of predecessor rain events on flood hazard in a changing climate A. Khatun et al. 10.1002/hyp.14500
- Flood drivers and trends: a case study of the Geul River catchment (the Netherlands) over the past half century A. Tsiokanos et al. 10.5194/hess-28-3327-2024
- Multivariate fire risk models using copula regression in Kalimantan, Indonesia M. Najib et al. 10.1007/s11069-022-05346-3
- Evaluation of the Drivers Responsible for Flooding in Africa Y. Tramblay et al. 10.1029/2021WR029595
- The role of preconditioning for extreme storm surges in the western Baltic Sea E. Andrée et al. 10.5194/nhess-23-1817-2023
- Using multi criteria decision analysis in a geographical information system framework to assess drought risk J. Penny et al. 10.1016/j.wroa.2023.100190
- Understanding flood seasonality and flood regime shift in the Congo River Basin G. Bola et al. 10.1080/02626667.2022.2083966
- Agronomic and socio-economic assessment of the introduction of a rice-based mixed cropping system to the Cuvelai seasonal wetland system in northern Namibia Y. Hirooka et al. 10.1080/03031853.2021.1917429
- Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns A. Bucherie et al. 10.5194/nhess-22-461-2022
- Hydrologic Extremes in a Changing Climate: a Review of Extremes in East Africa M. Taye & E. Dyer 10.1007/s40641-024-00193-9
- Consideration of compound drivers and impacts in the disaster risk reduction cycle B. van den Hurk et al. 10.1016/j.isci.2023.106030
- The potential of global reanalysis datasets in identifying flood events in Southern Africa G. Gründemann et al. 10.5194/hess-22-4667-2018
- Monsoon weather and early childhood health in India A. Dimitrova et al. 10.1371/journal.pone.0231479
- Improving Seasonal Forecasts for Basin Scale Hydrological Applications M. Grillakis et al. 10.3390/w10111593
- Climatology and Interannual Variability of Floods during the TRMM Era (1998–2013) Y. Yan et al. 10.1175/JCLI-D-19-0415.1
- Participatory flood modelling for negotiation and planning in urban informal settlements J. Mulligan et al. 10.1680/jensu.17.00020
21 citations as recorded by crossref.
- What Will the Weather Do? Forecasting Flood Losses Based on Oscillation Indices G. Guimarães Nobre et al. 10.1029/2019EF001450
- An empirical investigation into the effect of antecedent precipitation on flood volume B. Bennett et al. 10.1016/j.jhydrol.2018.10.025
- Characterising the coincidence of soil moisture – precipitation extremes as a possible precursor to European floods A. Manoj J et al. 10.1016/j.jhydrol.2023.129445
- Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
- Climate change impacts on staple crops: Assessment of smallholder farmers’ adaptation methods and barriers I. Oluwatimilehin & A. Ayanlade 10.1016/j.crm.2023.100542
- Understanding the impacts of predecessor rain events on flood hazard in a changing climate A. Khatun et al. 10.1002/hyp.14500
- Flood drivers and trends: a case study of the Geul River catchment (the Netherlands) over the past half century A. Tsiokanos et al. 10.5194/hess-28-3327-2024
- Multivariate fire risk models using copula regression in Kalimantan, Indonesia M. Najib et al. 10.1007/s11069-022-05346-3
- Evaluation of the Drivers Responsible for Flooding in Africa Y. Tramblay et al. 10.1029/2021WR029595
- The role of preconditioning for extreme storm surges in the western Baltic Sea E. Andrée et al. 10.5194/nhess-23-1817-2023
- Using multi criteria decision analysis in a geographical information system framework to assess drought risk J. Penny et al. 10.1016/j.wroa.2023.100190
- Understanding flood seasonality and flood regime shift in the Congo River Basin G. Bola et al. 10.1080/02626667.2022.2083966
- Agronomic and socio-economic assessment of the introduction of a rice-based mixed cropping system to the Cuvelai seasonal wetland system in northern Namibia Y. Hirooka et al. 10.1080/03031853.2021.1917429
- Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns A. Bucherie et al. 10.5194/nhess-22-461-2022
- Hydrologic Extremes in a Changing Climate: a Review of Extremes in East Africa M. Taye & E. Dyer 10.1007/s40641-024-00193-9
- Consideration of compound drivers and impacts in the disaster risk reduction cycle B. van den Hurk et al. 10.1016/j.isci.2023.106030
- The potential of global reanalysis datasets in identifying flood events in Southern Africa G. Gründemann et al. 10.5194/hess-22-4667-2018
- Monsoon weather and early childhood health in India A. Dimitrova et al. 10.1371/journal.pone.0231479
- Improving Seasonal Forecasts for Basin Scale Hydrological Applications M. Grillakis et al. 10.3390/w10111593
- Climatology and Interannual Variability of Floods during the TRMM Era (1998–2013) Y. Yan et al. 10.1175/JCLI-D-19-0415.1
- Participatory flood modelling for negotiation and planning in urban informal settlements J. Mulligan et al. 10.1680/jensu.17.00020
Latest update: 14 Dec 2024
Short summary
Preparedness activities and flood forecasting have received increasing attention and have led towards new science-based early warning systems. Understanding the flood triggering mechanisms will result in increasing warning lead times, providing sufficient time for early action. Findings of this study indicate that the consideration of short- and long-term antecedent conditions can be used by humanitarian organizations and decision makers for improved flood risk management.
Preparedness activities and flood forecasting have received increasing attention and have led...
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