Articles | Volume 27, issue 13
https://doi.org/10.5194/hess-27-2479-2023
© Author(s) 2023. 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-27-2479-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
10 Jul 2023
Review article |
| 10 Jul 2023
| 10 Jul 2023
Floods and droughts: a multivariate perspective
Manuela Irene Brunner
CORRESPONDING AUTHOR
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Climate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, Davos Dorf, Switzerland
Invited contribution by Manuela Irene Brunner, recipient of the Division Outstanding Early Career Scientist Award 2022.
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- Multivariate design events for compound flooding analysis in estuaries D. Gomez Rave et al. 10.1016/j.coastaleng.2025.104850
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- A Meteorological Drought Migration Model for Assessing the Spatiotemporal Paths of Drought in the Choushui River Alluvial Fan, Taiwan H. Yeh et al. 10.3390/geosciences14040106
- Compound and consecutive drought-flood events at a global scale A. Matanó et al. 10.1088/1748-9326/ad4b46
- Mixture copula parameter estimation with metaheuristic algorithms, comparative study under hydrological context E. Gontara & F. Chebana 10.1007/s00477-025-02914-4
- Copula-based joint impact assessment of rainfall and tidal level on flood risk in tidal-influenced plain river network areas, Taihu Lake Basin H. Zhou et al. 10.1016/j.jhydrol.2025.132785
- Three-dimensional identification of drought events and copula-based multivariate meteorological drought risk probability assessment in the Huai River Basin, China J. Shao et al. 10.1007/s00704-024-05318-6
- Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R. Maity et al. 10.1016/j.acags.2024.100206
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- Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design G. Sarigil et al. 10.1007/s00477-024-02732-0
- Spatial-temporal monitoring of compound droughts over global land areas Z. Hao et al. 10.1016/j.envsoft.2025.106463
- Extreme and compound events in lakes R. Woolway et al. 10.1038/s43017-025-00710-w
- Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. 10.1016/j.ejrh.2023.101533
- Statistical behavior of temporally compounding multi-peak flood events G. Cazzaniga et al. 10.1088/1748-9326/add0c8
- Compound dry and hot extremes: A review and future research pathways for India R. Guntu & A. Agarwal 10.1016/j.jhydrol.2024.131199
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- Nitrogen enrichment exacerbates drought impacts on desert shrub steppe plant community W. She et al. 10.1016/j.agee.2025.109667
- Temporally compounding droughts at the global scale: Distribution, propagation, and projection X. Zhao et al. 10.1016/j.gloplacha.2025.104905
- Comparative analysis of cloud properties over drought- and flood-prone regions of western India using machine learning techniques N. Mevada & R. Srivastava 10.2166/wcc.2024.511
- The testing of a multivariate probabilistic framework for reservoir safety evaluation and flood risks assessment in Slovakia: A study on the Parná and Belá Rivers R. Výleta et al. 10.2478/johh-2023-0027
18 citations as recorded by crossref.
- Multivariate design events for compound flooding analysis in estuaries D. Gomez Rave et al. 10.1016/j.coastaleng.2025.104850
- Large ensemble simulations indicate increases in spatial compounding of droughts and hot extremes across multiple croplands in China B. Lv et al. 10.1016/j.gloplacha.2024.104670
- A Meteorological Drought Migration Model for Assessing the Spatiotemporal Paths of Drought in the Choushui River Alluvial Fan, Taiwan H. Yeh et al. 10.3390/geosciences14040106
- Compound and consecutive drought-flood events at a global scale A. Matanó et al. 10.1088/1748-9326/ad4b46
- Mixture copula parameter estimation with metaheuristic algorithms, comparative study under hydrological context E. Gontara & F. Chebana 10.1007/s00477-025-02914-4
- Copula-based joint impact assessment of rainfall and tidal level on flood risk in tidal-influenced plain river network areas, Taihu Lake Basin H. Zhou et al. 10.1016/j.jhydrol.2025.132785
- Three-dimensional identification of drought events and copula-based multivariate meteorological drought risk probability assessment in the Huai River Basin, China J. Shao et al. 10.1007/s00704-024-05318-6
- Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning R. Maity et al. 10.1016/j.acags.2024.100206
- Research on flood peak prediction in the three gorges region based on similarity search with multisource information fusion X. Wang et al. 10.1007/s12145-024-01509-x
- Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design G. Sarigil et al. 10.1007/s00477-024-02732-0
- Spatial-temporal monitoring of compound droughts over global land areas Z. Hao et al. 10.1016/j.envsoft.2025.106463
- Extreme and compound events in lakes R. Woolway et al. 10.1038/s43017-025-00710-w
- Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. 10.1016/j.ejrh.2023.101533
- Statistical behavior of temporally compounding multi-peak flood events G. Cazzaniga et al. 10.1088/1748-9326/add0c8
- Compound dry and hot extremes: A review and future research pathways for India R. Guntu & A. Agarwal 10.1016/j.jhydrol.2024.131199
- Floodplain lakes: Linking hydrology to ecology and conservation F. Xue et al. 10.1016/j.earscirev.2024.104967
- Nitrogen enrichment exacerbates drought impacts on desert shrub steppe plant community W. She et al. 10.1016/j.agee.2025.109667
- Temporally compounding droughts at the global scale: Distribution, propagation, and projection X. Zhao et al. 10.1016/j.gloplacha.2025.104905
2 citations as recorded by crossref.
- Comparative analysis of cloud properties over drought- and flood-prone regions of western India using machine learning techniques N. Mevada & R. Srivastava 10.2166/wcc.2024.511
- The testing of a multivariate probabilistic framework for reservoir safety evaluation and flood risks assessment in Slovakia: A study on the Parná and Belá Rivers R. Výleta et al. 10.2478/johh-2023-0027
Latest update: 24 Aug 2025
Short summary
I discuss different types of multivariate hydrological extremes and their dependencies, including regional extremes affecting multiple locations, such as spatially connected flood events; consecutive extremes occurring in close temporal succession, such as successive droughts; extremes characterized by multiple characteristics, such as floods with jointly high peak discharge and flood volume; and transitions between different types of extremes, such as drought-to-flood transitions.
I discuss different types of multivariate hydrological extremes and their dependencies,...
