Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4667-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-4667-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The potential of global reanalysis datasets in identifying flood events in Southern Africa
Gaby J. Gründemann
CORRESPONDING AUTHOR
Water Science & Engineering, IHE Delft Institute for Water Education, 2601 DA, Delft, the Netherlands
Water Resources Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN, Delft, the Netherlands
Micha Werner
Water Science & Engineering, IHE Delft Institute for Water Education, 2601 DA, Delft, the Netherlands
Operational Water Management, Deltares, 2629 HV, Delft, the Netherlands
Ted I. E. Veldkamp
Water & Climate Risk, Institute for Environmental Studies (IVM), VU University Amsterdam, 1081 HV, Amsterdam, the Netherlands
Water Department, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
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Cited
15 citations as recorded by crossref.
- The great 1983 floods in South American large rivers: a continental hydrological modelling approach A. Fleischmann et al. 10.1080/02626667.2020.1747622
- UAV-based emergency treatment plan for flood disasters at the Hongyanhe nuclear power plant Y. Ma et al. 10.1016/j.ecolind.2023.110676
- A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies S. Lindersson et al. 10.1002/wat2.1424
- Evaluation of Global Water Resources Reanalysis Data for Estimating Flood Events in the Brahmaputra River Basin P. López et al. 10.1007/s11269-020-02546-z
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Benchmarking multimodel terrestrial water storage seasonal cycle against Gravity Recovery and Climate Experiment (GRACE) observations over major global river basins S. Bibi et al. 10.5194/hess-28-1725-2024
- Evaluation of the Drivers Responsible for Flooding in Africa Y. Tramblay et al. 10.1029/2021WR029595
- Hydrological reanalysis across the 20th century: A case study of the Amazon Basin S. Wongchuig et al. 10.1016/j.jhydrol.2019.01.025
- A Comprehensive Approach for Floodplain Mapping through Identification of Hazard Using Publicly Available Data Sets over Canada M. Mohanty & S. Simonovic 10.3390/w14142280
- Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. 10.5194/hess-26-4323-2022
- Extreme precipitation return levels for multiple durations on a global scale G. Gründemann et al. 10.1016/j.jhydrol.2023.129558
- Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins E. Nkiaka et al. 10.5194/hess-26-5899-2022
- Impacts of climate hazards on households along the Drakensberg Mountains in the Free State Province of South Africa S. Ngwenya & G. Mukwada 10.1007/s10708-024-11061-2
- Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products Z. Wei et al. 10.1016/j.jhydrol.2020.125180
- Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns A. Bucherie et al. 10.5194/nhess-22-461-2022
15 citations as recorded by crossref.
- The great 1983 floods in South American large rivers: a continental hydrological modelling approach A. Fleischmann et al. 10.1080/02626667.2020.1747622
- UAV-based emergency treatment plan for flood disasters at the Hongyanhe nuclear power plant Y. Ma et al. 10.1016/j.ecolind.2023.110676
- A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies S. Lindersson et al. 10.1002/wat2.1424
- Evaluation of Global Water Resources Reanalysis Data for Estimating Flood Events in the Brahmaputra River Basin P. López et al. 10.1007/s11269-020-02546-z
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Benchmarking multimodel terrestrial water storage seasonal cycle against Gravity Recovery and Climate Experiment (GRACE) observations over major global river basins S. Bibi et al. 10.5194/hess-28-1725-2024
- Evaluation of the Drivers Responsible for Flooding in Africa Y. Tramblay et al. 10.1029/2021WR029595
- Hydrological reanalysis across the 20th century: A case study of the Amazon Basin S. Wongchuig et al. 10.1016/j.jhydrol.2019.01.025
- A Comprehensive Approach for Floodplain Mapping through Identification of Hazard Using Publicly Available Data Sets over Canada M. Mohanty & S. Simonovic 10.3390/w14142280
- Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. 10.5194/hess-26-4323-2022
- Extreme precipitation return levels for multiple durations on a global scale G. Gründemann et al. 10.1016/j.jhydrol.2023.129558
- Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins E. Nkiaka et al. 10.5194/hess-26-5899-2022
- Impacts of climate hazards on households along the Drakensberg Mountains in the Free State Province of South Africa S. Ngwenya & G. Mukwada 10.1007/s10708-024-11061-2
- Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products Z. Wei et al. 10.1016/j.jhydrol.2020.125180
- Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns A. Bucherie et al. 10.5194/nhess-22-461-2022
Latest update: 06 Dec 2024
Short summary
Flooding in vulnerable and data-sparse regions such as the Limpopo basin in Southern Africa is a key concern. Data available to local flood managers are often limited, inconsistent or asymmetrically distributed. We demonstrate that freely available global datasets are well suited to provide essential information. Despite the poor performance of simulated discharges, these datasets hold potential in identifying damaging flood events, particularly for higher-resolution datasets and larger basins.
Flooding in vulnerable and data-sparse regions such as the Limpopo basin in Southern Africa is a...