Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns
Agathe Bucherie
CORRESPONDING AUTHOR
International Research Institute for Climate and Society (IRI), Columbia University, New York, New York 10964, USA
IHE Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
510, the Netherlands Red Cross, the Hague, 2593 HT, the Netherlands
Micha Werner
IHE Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
Marc van den Homberg
510, the Netherlands Red Cross, the Hague, 2593 HT, the Netherlands
Simon Tembo
Malawi Red Cross Society, Lilongwe, 30096, Malawi
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Cited
15 citations as recorded by crossref.
- Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases B. Masinde et al. https://doi.org/10.3390/ijgi13120419
- Estimating elements susceptible to urban flooding using multisource data and machine learning W. Asfaw et al. https://doi.org/10.1016/j.ijdrr.2024.105169
- Hybrid methodology for flood early warning indicators: Combining hydrodynamic modeling and community participation in Manizales, Colombia N. Cardona Gómez et al. https://doi.org/10.1016/j.ijdrr.2025.105895
- Empowering communities through citizen science: enhancing flash flood early warning in the Manizales creek basin M. Henao Salgado et al. https://doi.org/10.1080/17477891.2025.2585923
- Understanding flash floods in a changing urban landscape: the Zagreb 1989 and 2020 events O. Bonacci et al. https://doi.org/10.1007/s11069-025-07704-3
- The Usefulness of Climate Modelling for Humanitarian Aid Resource Allocation: An Exploratory Literature Review J. Jäpölä & S. Van Passel https://doi.org/10.1007/s41885-024-00168-y
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. https://doi.org/10.1111/jfr3.12880
- A Streamlined Flood-Specific Evaluation Framework: Assessing African Riverine Early Warning Systems A. Gioia et al. https://doi.org/10.1016/j.ijdrr.2026.106265
- Evaluation of hydrological response to land use land cover changes of Lufilya catchment L. Kumwenda et al. https://doi.org/10.1016/j.pce.2025.104162
- Predicting and forecasting disasters: A global scan of traditional and local knowledge P. Paudel et al. https://doi.org/10.1016/j.ijdrr.2025.105590
- Links between Flash Floods and Hydrogeomorphic Approach: A Bibliometric Analysis D. Oreano Hernández et al. https://doi.org/10.22201/igeof.2954436xe.2026.65.1.1880
- Assessing the link between climatic information and farmers’ local knowledge on climate variability in Ngoma District, Rwanda J. Munyaneza et al. https://doi.org/10.1007/s44274-025-00308-5
- Machine learning-based hydrological models for flash floods: a systematic literature review L. Santos et al. https://doi.org/10.1007/s44268-025-00071-9
- Towards resilient cities: advancing sustainable urban drainage systems in Malawi amid climate change challenges S. Chikabvumbwa et al. https://doi.org/10.1177/09562478261423202
- Role of Indigenous and local knowledge in seasonal forecasts and climate adaptation: A case study of smallholder farmers in Chiredzi, Zimbabwe L. Zvobgo et al. https://doi.org/10.1016/j.envsci.2023.03.017
15 citations as recorded by crossref.
- Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases B. Masinde et al. https://doi.org/10.3390/ijgi13120419
- Estimating elements susceptible to urban flooding using multisource data and machine learning W. Asfaw et al. https://doi.org/10.1016/j.ijdrr.2024.105169
- Hybrid methodology for flood early warning indicators: Combining hydrodynamic modeling and community participation in Manizales, Colombia N. Cardona Gómez et al. https://doi.org/10.1016/j.ijdrr.2025.105895
- Empowering communities through citizen science: enhancing flash flood early warning in the Manizales creek basin M. Henao Salgado et al. https://doi.org/10.1080/17477891.2025.2585923
- Understanding flash floods in a changing urban landscape: the Zagreb 1989 and 2020 events O. Bonacci et al. https://doi.org/10.1007/s11069-025-07704-3
- The Usefulness of Climate Modelling for Humanitarian Aid Resource Allocation: An Exploratory Literature Review J. Jäpölä & S. Van Passel https://doi.org/10.1007/s41885-024-00168-y
- Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. https://doi.org/10.1111/jfr3.12880
- A Streamlined Flood-Specific Evaluation Framework: Assessing African Riverine Early Warning Systems A. Gioia et al. https://doi.org/10.1016/j.ijdrr.2026.106265
- Evaluation of hydrological response to land use land cover changes of Lufilya catchment L. Kumwenda et al. https://doi.org/10.1016/j.pce.2025.104162
- Predicting and forecasting disasters: A global scan of traditional and local knowledge P. Paudel et al. https://doi.org/10.1016/j.ijdrr.2025.105590
- Links between Flash Floods and Hydrogeomorphic Approach: A Bibliometric Analysis D. Oreano Hernández et al. https://doi.org/10.22201/igeof.2954436xe.2026.65.1.1880
- Assessing the link between climatic information and farmers’ local knowledge on climate variability in Ngoma District, Rwanda J. Munyaneza et al. https://doi.org/10.1007/s44274-025-00308-5
- Machine learning-based hydrological models for flash floods: a systematic literature review L. Santos et al. https://doi.org/10.1007/s44268-025-00071-9
- Towards resilient cities: advancing sustainable urban drainage systems in Malawi amid climate change challenges S. Chikabvumbwa et al. https://doi.org/10.1177/09562478261423202
- Role of Indigenous and local knowledge in seasonal forecasts and climate adaptation: A case study of smallholder farmers in Chiredzi, Zimbabwe L. Zvobgo et al. https://doi.org/10.1016/j.envsci.2023.03.017
Saved (final revised paper)
Latest update: 26 Jun 2026
Short summary
Local communities in northern Malawi have well-developed knowledge of the conditions leading to flash floods, spatially and temporally. Scientific analysis of catchment geomorphology and global reanalysis datasets corroborates this local knowledge, underlining the potential of these large-scale scientific datasets. Combining local knowledge with contemporary scientific datasets provides a common understanding of flash flood events, contributing to a more people-centred warning to flash floods.
Local communities in northern Malawi have well-developed knowledge of the conditions leading to...
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