Articles | Volume 15, issue 11
https://doi.org/10.5194/hess-15-3355-2011
© Author(s) 2011. 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-15-3355-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluation of two precipitation data sets for the Rhine River using streamflow simulations
C. S. Photiadou
Institute for Marine and Atmospheric Research, Utrecht University 3584CC, Utrecht, The Netherlands
Deltares, Rotterdamseweg 185, 2629 HD Delft, The Netherlands
A. H. Weerts
Deltares, Rotterdamseweg 185, 2629 HD Delft, The Netherlands
B. J. J. M. van den Hurk
Institute for Marine and Atmospheric Research, Utrecht University 3584CC, Utrecht, The Netherlands
KNMI, P.O. Box 201, 3730 AE De Bilt, The Netherlands
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Cited
18 citations as recorded by crossref.
- Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales J. Verkade et al. 10.1016/j.jhydrol.2013.07.039
- Impact of precipitation and land biophysical variables on the simulated discharge of European and Mediterranean rivers C. Szczypta et al. 10.5194/hess-16-3351-2012
- Storm Surge and Extreme River Discharge: A Compound Event Analysis Using Ensemble Impact Modeling S. Khanal et al. 10.3389/feart.2019.00224
- genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real‐Time for Hydrological Forecasting Purposes B. van Osnabrugge et al. 10.1002/2017WR021201
- Uncertainty in the future change of extreme precipitation over the Rhine basin: the role of internal climate variability S. van Pelt et al. 10.1007/s00382-014-2312-4
- Bias Correction of Climate Model’s Precipitation Using the Copula Method and Its Application in River Basin Simulation G. Lazoglou et al. 10.3390/w11030600
- The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins I. Benedict et al. 10.5194/hess-23-1779-2019
- Driving a lumped hydrological model with precipitation output from weather generators of different complexity K. Breinl 10.1080/02626667.2015.1036755
- Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin N. Tangdamrongsub et al. 10.5194/hess-19-2079-2015
- Can model-based data products replace gauge data as input to the hydrological model? K. Sivasubramaniam et al. 10.2166/nh.2020.076
- Incorporating circulation statistics in bias correction of GCM ensembles: hydrological application for the Rhine basin C. Photiadou et al. 10.1007/s00382-015-2578-1
- Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
- The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin S. Khanal et al. 10.3390/atmos10040171
- Future changes in extreme precipitation in the Rhine basin based on global and regional climate model simulations S. van Pelt et al. 10.5194/hess-16-4517-2012
- Estimating predictive hydrological uncertainty by dressing deterministic and ensemble forecasts; a comparison, with application to Meuse and Rhine J. Verkade et al. 10.1016/j.jhydrol.2017.10.024
- Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
- Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River B. van Osnabrugge et al. 10.5194/hess-23-1453-2019
- Ecohydrological consequences of tree removal in an urban park evaluated using open data, free software and a minimalist measuring campaign J. Deutscher et al. 10.1016/j.scitotenv.2018.11.277
18 citations as recorded by crossref.
- Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales J. Verkade et al. 10.1016/j.jhydrol.2013.07.039
- Impact of precipitation and land biophysical variables on the simulated discharge of European and Mediterranean rivers C. Szczypta et al. 10.5194/hess-16-3351-2012
- Storm Surge and Extreme River Discharge: A Compound Event Analysis Using Ensemble Impact Modeling S. Khanal et al. 10.3389/feart.2019.00224
- genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real‐Time for Hydrological Forecasting Purposes B. van Osnabrugge et al. 10.1002/2017WR021201
- Uncertainty in the future change of extreme precipitation over the Rhine basin: the role of internal climate variability S. van Pelt et al. 10.1007/s00382-014-2312-4
- Bias Correction of Climate Model’s Precipitation Using the Copula Method and Its Application in River Basin Simulation G. Lazoglou et al. 10.3390/w11030600
- The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins I. Benedict et al. 10.5194/hess-23-1779-2019
- Driving a lumped hydrological model with precipitation output from weather generators of different complexity K. Breinl 10.1080/02626667.2015.1036755
- Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin N. Tangdamrongsub et al. 10.5194/hess-19-2079-2015
- Can model-based data products replace gauge data as input to the hydrological model? K. Sivasubramaniam et al. 10.2166/nh.2020.076
- Incorporating circulation statistics in bias correction of GCM ensembles: hydrological application for the Rhine basin C. Photiadou et al. 10.1007/s00382-015-2578-1
- Gridded climate data products are an alternative to instrumental measurements as inputs to rainfall–runoff models J. Ledesma & M. Futter 10.1002/hyp.11269
- The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin S. Khanal et al. 10.3390/atmos10040171
- Future changes in extreme precipitation in the Rhine basin based on global and regional climate model simulations S. van Pelt et al. 10.5194/hess-16-4517-2012
- Estimating predictive hydrological uncertainty by dressing deterministic and ensemble forecasts; a comparison, with application to Meuse and Rhine J. Verkade et al. 10.1016/j.jhydrol.2017.10.024
- Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
- Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River B. van Osnabrugge et al. 10.5194/hess-23-1453-2019
- Ecohydrological consequences of tree removal in an urban park evaluated using open data, free software and a minimalist measuring campaign J. Deutscher et al. 10.1016/j.scitotenv.2018.11.277
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