Articles | Volume 19, issue 11
https://doi.org/10.5194/hess-19-4689-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-19-4689-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Nov 2015
Research article |
| 27 Nov 2015
Defining high-flow seasons using temporal streamflow patterns from a global model
D. Lee
University of Wisconsin – Madison, Madison, Wisconsin, USA
P. Ward
Institute for Environmental Studies (IVM), VU University Amsterdam, the Netherlands
University of Wisconsin – Madison, Madison, Wisconsin, USA
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Cited
18 citations as recorded by crossref.
- A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China P. Xu et al. https://doi.org/10.1016/j.jhydrol.2024.131120
- Leveraging multi-model season-ahead streamflow forecasts to trigger advanced flood preparedness in Peru C. Keating et al. https://doi.org/10.5194/nhess-21-2215-2021
- Seasonality of mean flows as a potential tool for the assessment of ecological processes: Mountain rivers, Polish Carpathians A. Radecki-Pawlik et al. https://doi.org/10.1016/j.scitotenv.2020.136988
- High‐Resolution Land Surface Modeling of Hydrological Changes Over the Sanjiangyuan Region in the Eastern Tibetan Plateau: 2. Impact of Climate and Land Cover Change P. Ji & X. Yuan https://doi.org/10.1029/2018MS001413
- Hydrological change: Towards a consistent approach to assess changes on both floods and droughts B. Quesada-Montano et al. https://doi.org/10.1016/j.advwatres.2017.10.038
- Continental-scale prediction of hydrologic signatures and processes R. Araki et al. https://doi.org/10.5194/hess-30-3647-2026
- Link between hydric potential and predictability of maximum flow for selected catchments in Western Carpathians J. Wojkowski et al. https://doi.org/10.1016/j.scitotenv.2019.05.159
- The Timing of Global Floods and Its Association With Climate and Topography P. Torre Zaffaroni et al. https://doi.org/10.1029/2022WR032968
- A global assessment of change in flood volume with surface air temperature W. He et al. https://doi.org/10.1016/j.advwatres.2022.104241
- A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers T. Iliopoulou et al. https://doi.org/10.5194/hess-23-73-2019
- Quantifying the flood coincidence likelihood between Huai River and its tributaries considering the nonstationarity Z. Zhang et al. https://doi.org/10.1016/j.ejrh.2024.101887
- Identification of symmetric and asymmetric responses in seasonal streamflow globally to ENSO phase D. Lee et al. https://doi.org/10.1088/1748-9326/aab4ca
- Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. https://doi.org/10.1029/2019WR024945
- Trends in Global Flood and Streamflow Timing Based on Local Water Year C. Wasko et al. https://doi.org/10.1029/2020WR027233
- Changes in Magnitude and Shifts in Timing of Australian Flood Peaks M. Bari et al. https://doi.org/10.3390/w15203665
- Global Modeling of Seasonal Mortality Rates From River Floods L. Alfieri et al. https://doi.org/10.1029/2020EF001541
- Attribution of Large‐Scale Climate Patterns to Seasonal Peak‐Flow and Prospects for Prediction Globally D. Lee et al. https://doi.org/10.1002/2017WR021205
- Evidence of shorter more extreme rainfalls and increased flood variability under climate change C. Wasko et al. https://doi.org/10.1016/j.jhydrol.2021.126994
18 citations as recorded by crossref.
- A dynamic von Mises-based model to evaluate the impact of urbanization and climate change on flood timing in Yangtze and Huaihe River Basins, China P. Xu et al. https://doi.org/10.1016/j.jhydrol.2024.131120
- Leveraging multi-model season-ahead streamflow forecasts to trigger advanced flood preparedness in Peru C. Keating et al. https://doi.org/10.5194/nhess-21-2215-2021
- Seasonality of mean flows as a potential tool for the assessment of ecological processes: Mountain rivers, Polish Carpathians A. Radecki-Pawlik et al. https://doi.org/10.1016/j.scitotenv.2020.136988
- High‐Resolution Land Surface Modeling of Hydrological Changes Over the Sanjiangyuan Region in the Eastern Tibetan Plateau: 2. Impact of Climate and Land Cover Change P. Ji & X. Yuan https://doi.org/10.1029/2018MS001413
- Hydrological change: Towards a consistent approach to assess changes on both floods and droughts B. Quesada-Montano et al. https://doi.org/10.1016/j.advwatres.2017.10.038
- Continental-scale prediction of hydrologic signatures and processes R. Araki et al. https://doi.org/10.5194/hess-30-3647-2026
- Link between hydric potential and predictability of maximum flow for selected catchments in Western Carpathians J. Wojkowski et al. https://doi.org/10.1016/j.scitotenv.2019.05.159
- The Timing of Global Floods and Its Association With Climate and Topography P. Torre Zaffaroni et al. https://doi.org/10.1029/2022WR032968
- A global assessment of change in flood volume with surface air temperature W. He et al. https://doi.org/10.1016/j.advwatres.2022.104241
- A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers T. Iliopoulou et al. https://doi.org/10.5194/hess-23-73-2019
- Quantifying the flood coincidence likelihood between Huai River and its tributaries considering the nonstationarity Z. Zhang et al. https://doi.org/10.1016/j.ejrh.2024.101887
- Identification of symmetric and asymmetric responses in seasonal streamflow globally to ENSO phase D. Lee et al. https://doi.org/10.1088/1748-9326/aab4ca
- Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. https://doi.org/10.1029/2019WR024945
- Trends in Global Flood and Streamflow Timing Based on Local Water Year C. Wasko et al. https://doi.org/10.1029/2020WR027233
- Changes in Magnitude and Shifts in Timing of Australian Flood Peaks M. Bari et al. https://doi.org/10.3390/w15203665
- Global Modeling of Seasonal Mortality Rates From River Floods L. Alfieri et al. https://doi.org/10.1029/2020EF001541
- Attribution of Large‐Scale Climate Patterns to Seasonal Peak‐Flow and Prospects for Prediction Globally D. Lee et al. https://doi.org/10.1002/2017WR021205
- Evidence of shorter more extreme rainfalls and increased flood variability under climate change C. Wasko et al. https://doi.org/10.1016/j.jhydrol.2021.126994
Saved (final revised paper)
Latest update: 27 Oct 2026
Short summary
This paper presents a global approach to defining high-flow seasons by identifying temporal patterns of streamflow. Simulations of streamflow from the PCR-GLOBWB model are evaluated to define dominant and minor high-flow seasons globally, and verified with GRDC observations and flood records from Dartmouth Flood Observatory.
This paper presents a global approach to defining high-flow seasons by identifying temporal...
