Articles | Volume 16, issue 11
https://doi.org/10.5194/hess-16-4233-2012
© Author(s) 2012. 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-16-4233-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessment of the potential forecasting skill of a global hydrological model in reproducing the occurrence of monthly flow extremes
N. Candogan Yossef
Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
Deltares, Delft, The Netherlands
L. P. H. van Beek
Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
J. C. J. Kwadijk
Deltares, Delft, The Netherlands
M. F. P. Bierkens
Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
Deltares, Delft, The Netherlands
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Cited
19 citations as recorded by crossref.
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- Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
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- Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan K. Ahmed et al. 10.5004/dwt.2017.20859
- Macroscale composite principal-monotonicity distributed projection of climate-induced hydrologic changes: Tempo-spatial variabilities, and variation decompositions G. Cheng et al. 10.1016/j.jhydrol.2023.130246
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- Application-based evaluation of multi-basin hydrological models Y. Du et al. 10.1016/j.jhydrol.2024.131727
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17 citations as recorded by crossref.
- Global hydrology 2015: State, trends, and directions M. Bierkens 10.1002/2015WR017173
- Skill of a global forecasting system in seasonal ensemble streamflow prediction N. Candogan Yossef et al. 10.5194/hess-21-4103-2017
- Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China J. Fluixá-Sanmartín et al. 10.5194/hess-22-889-2018
- Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
- The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models M. Demirel et al. 10.5194/hess-19-275-2015
- A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs D. Park & M. Markus 10.1080/02626667.2018.1438613
- GloFAS – global ensemble streamflow forecasting and flood early warning L. Alfieri et al. 10.5194/hess-17-1161-2013
- Seasonal forecasting of groundwater levels in principal aquifers of the United Kingdom J. Mackay et al. 10.1016/j.jhydrol.2015.10.018
- Changes in Major Global River Discharges Directed into the Ocean X. Shi et al. 10.3390/ijerph16081469
- Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan K. Ahmed et al. 10.5004/dwt.2017.20859
- Macroscale composite principal-monotonicity distributed projection of climate-induced hydrologic changes: Tempo-spatial variabilities, and variation decompositions G. Cheng et al. 10.1016/j.jhydrol.2023.130246
- Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. 10.5194/hess-25-3855-2021
- Assessing the impact of hydrodynamics on large-scale flood wave propagation – a case study for the Amazon Basin J. Hoch et al. 10.5194/hess-21-117-2017
- A high-resolution perspective of extreme rainfall and river flow under extreme climate change in Southeast Asia M. Hariadi et al. 10.5194/hess-28-1935-2024
- Application-based evaluation of multi-basin hydrological models Y. Du et al. 10.1016/j.jhydrol.2024.131727
- Evaluating snow models with varying process representations for hydrological applications J. Magnusson et al. 10.1002/2014WR016498
- GLOFRIM v1.0 – A globally applicable computational framework for integrated hydrological–hydrodynamic modelling J. Hoch et al. 10.5194/gmd-10-3913-2017
2 citations as recorded by crossref.
- Significant uncertainty in global scale hydrological modeling from precipitation data errors F. Sperna Weiland et al. 10.1016/j.jhydrol.2015.08.061
- A review of continental scale hydrological models and their suitability for drought forecasting in (sub-Saharan) Africa P. Trambauer et al. 10.1016/j.pce.2013.07.003
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