Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-961-2021
© Author(s) 2021. 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-21-961-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Mar 2021
Research article |
| 12 Mar 2021
| 12 Mar 2021
The impact of hydrological model structure on the simulation of extreme runoff events
Gijs van Kempen
Hydrology and Quantitative Water Management, Wageningen University, Wageningen, the Netherlands
Karin van der Wiel
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Hydrology and Quantitative Water Management, Wageningen University, Wageningen, the Netherlands
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- To tame a land: Limiting factors in model performance for the multi-objective calibration of a pan-European, semi-distributed hydrological model for discharge and sediments C. Brendel et al. 10.1016/j.ejrh.2023.101544
- Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al. 10.1088/1748-9326/ac5cf4
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- Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al. 10.1002/joc.8117
- Assessment of Flood Risk Map under Climate Change RCP8.5 Scenarios in Taiwan Y. Chen et al. 10.3390/w14020207
- An extremeness threshold determines the regional response of floods to changes in rainfall extremes M. Brunner et al. 10.1038/s43247-021-00248-x
- The KNMI Large Ensemble Time Slice (KNMI–LENTIS) L. Muntjewerf et al. 10.5194/gmd-16-4581-2023
- Estimating storm runoff extreme in small ungauged catchments using an integrated modeling approach Z. Zhao et al. 10.1016/j.horiz.2024.100092
- Meta-LSTM in hydrology: Advancing runoff predictions through model-agnostic meta-learning K. Cai et al. 10.1016/j.jhydrol.2024.131521
- Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies M. Tarek et al. 10.5194/hess-25-3331-2021
- Linking error measures to model questions B. Jacobs et al. 10.1016/j.ecolmodel.2023.110562
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- Development and Application of a Real-Time Flood Forecasting System (RTFlood System) in a Tropical Urban Area: A Case Study of Ramkhamhaeng Polder, Bangkok, Thailand D. Chitwatkulsiri et al. 10.3390/w14101641
- Complex High‐ and Low‐Flow Networks Differ in Their Spatial Correlation Characteristics, Drivers, and Changes M. Brunner & E. Gilleland 10.1029/2021WR030049
- A Vine Copula‐Based Polynomial Chaos Framework for Improving Multi‐Model Hydroclimatic Projections at a Multi‐Decadal Convection‐Permitting Scale B. Zhang et al. 10.1029/2022WR031954
- Uncertainty and sensitivity analysis of a travel‐time distribution‐based stream water electrical conductivity model Z. Riazi & A. Western 10.1002/hyp.15168
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
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22 citations as recorded by crossref.
- Current and future risk of unprecedented hydrological droughts in Great Britain W. Chan et al. 10.1016/j.jhydrol.2023.130074
- Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia B. Xie et al. 10.3390/rs15235460
- Hydrological Models O. Bonacci 10.15292/acta.hydro.2022.03
- Real-Time Urban Flood Forecasting Systems for Southeast Asia—A Review of Present Modelling and Its Future Prospects D. Chitwatkulsiri & H. Miyamoto 10.3390/w15010178
- To tame a land: Limiting factors in model performance for the multi-objective calibration of a pan-European, semi-distributed hydrological model for discharge and sediments C. Brendel et al. 10.1016/j.ejrh.2023.101544
- Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al. 10.1088/1748-9326/ac5cf4
- Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Y. Boulaguiem et al. 10.1017/eds.2022.4
- An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al. 10.1002/met.2065
- Insight into historical and future spring snow cover from satellite observation and model simulations over the Northern Hemisphere H. Guo et al. 10.1002/joc.8117
- Assessment of Flood Risk Map under Climate Change RCP8.5 Scenarios in Taiwan Y. Chen et al. 10.3390/w14020207
- An extremeness threshold determines the regional response of floods to changes in rainfall extremes M. Brunner et al. 10.1038/s43247-021-00248-x
- The KNMI Large Ensemble Time Slice (KNMI–LENTIS) L. Muntjewerf et al. 10.5194/gmd-16-4581-2023
- Estimating storm runoff extreme in small ungauged catchments using an integrated modeling approach Z. Zhao et al. 10.1016/j.horiz.2024.100092
- Meta-LSTM in hydrology: Advancing runoff predictions through model-agnostic meta-learning K. Cai et al. 10.1016/j.jhydrol.2024.131521
- Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies M. Tarek et al. 10.5194/hess-25-3331-2021
- Linking error measures to model questions B. Jacobs et al. 10.1016/j.ecolmodel.2023.110562
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- Development and Application of a Real-Time Flood Forecasting System (RTFlood System) in a Tropical Urban Area: A Case Study of Ramkhamhaeng Polder, Bangkok, Thailand D. Chitwatkulsiri et al. 10.3390/w14101641
- Complex High‐ and Low‐Flow Networks Differ in Their Spatial Correlation Characteristics, Drivers, and Changes M. Brunner & E. Gilleland 10.1029/2021WR030049
- A Vine Copula‐Based Polynomial Chaos Framework for Improving Multi‐Model Hydroclimatic Projections at a Multi‐Decadal Convection‐Permitting Scale B. Zhang et al. 10.1029/2022WR031954
- Uncertainty and sensitivity analysis of a travel‐time distribution‐based stream water electrical conductivity model Z. Riazi & A. Western 10.1002/hyp.15168
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
3 citations as recorded by crossref.
- Challenges in modeling and predicting floods and droughts: A review M. Brunner et al. 10.1002/wat2.1520
- Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al. 10.5194/hess-25-105-2021
- Insights to the water balance of a Boreal watershed using a SWAT model K. Islam et al. 10.1088/2515-7620/ad495c
Latest update: 17 Jul 2024
Short summary
In this study, we combine climate model results with a hydrological model to investigate uncertainties in flood and drought risk. With the climate model, 2000 years of
current climatewas created. The hydrological model consisted of several building blocks that we could adapt. In this way, we could investigate the effect of these hydrological building blocks on high- and low-flow risk in four different climate zones with return periods of up to 500 years.
In this study, we combine climate model results with a hydrological model to investigate...
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