Articles | Volume 21, issue 8
https://doi.org/10.5194/hess-21-4103-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-4103-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Aug 2017
Research article |
| 14 Aug 2017
Skill of a global forecasting system in seasonal ensemble streamflow prediction
Naze Candogan Yossef
CORRESPONDING AUTHOR
Faculty of Geosciences, Utrecht University, Utrecht, 3508 TC, the
Netherlands
Deltares, Delft, 2600 MH, the Netherlands
Rens van Beek
Faculty of Geosciences, Utrecht University, Utrecht, 3508 TC, the
Netherlands
Albrecht Weerts
Deltares, Delft, 2600 MH, the Netherlands
Department of Environmental Sciences, Wageningen University, 6708 PB,
the Netherlands
Hessel Winsemius
Deltares, Delft, 2600 MH, the Netherlands
Marc F. P. Bierkens
Faculty of Geosciences, Utrecht University, Utrecht, 3508 TC, the
Netherlands
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Cited
19 citations as recorded by crossref.
- Exploratory studies into seasonal flow forecasting potential for large lakes K. Sene et al. 10.5194/hess-22-127-2018
- The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers K. Foster et al. 10.5194/hess-22-2953-2018
- Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
- The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting S. Hauswirth et al. 10.5194/hess-27-501-2023
- Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
- Seasonal forecasts have sufficient skill to inform some agricultural decisions A. Kondal et al. 10.1088/1748-9326/ad8bde
- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- NASA’s NMME-based S2S hydrologic forecast system for food insecurity early warning in southern Africa A. Hazra et al. 10.1016/j.jhydrol.2022.129005
- Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0 R. Emerton et al. 10.5194/gmd-11-3327-2018
- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
- Assessment of an ensemble seasonal streamflow forecasting system for Australia J. Bennett et al. 10.5194/hess-21-6007-2017
- Improving Seasonal Forecasts for Basin Scale Hydrological Applications M. Grillakis et al. 10.3390/w10111593
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Skilful seasonal forecasts of streamflow over Europe? L. Arnal et al. 10.5194/hess-22-2057-2018
- Application of the CNOP‐P Ensemble Prediction (CNOP‐PEP) Method in Evapotranspiration Forecasting Over the Tibetan Plateau to Model Parameter Uncertainties G. Sun et al. 10.1029/2022MS003110
- Dynamics of meteorological time series on the base of ground measurements and retrospective data from MERRA‐2 for Poland M. Gos et al. 10.1002/joc.6787
- Catchment memory explains hydrological drought forecast performance S. Sutanto & H. Van Lanen 10.1038/s41598-022-06553-5
- Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. 10.2166/nh.2018.176
- Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al. 10.1016/j.jhydrol.2020.125430
19 citations as recorded by crossref.
- Exploratory studies into seasonal flow forecasting potential for large lakes K. Sene et al. 10.5194/hess-22-127-2018
- The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers K. Foster et al. 10.5194/hess-22-2953-2018
- Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
- The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting S. Hauswirth et al. 10.5194/hess-27-501-2023
- Evaluation of a global ensemble flood prediction system in Peru K. Bischiniotis et al. 10.1080/02626667.2019.1617868
- Seasonal forecasts have sufficient skill to inform some agricultural decisions A. Kondal et al. 10.1088/1748-9326/ad8bde
- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- NASA’s NMME-based S2S hydrologic forecast system for food insecurity early warning in southern Africa A. Hazra et al. 10.1016/j.jhydrol.2022.129005
- Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0 R. Emerton et al. 10.5194/gmd-11-3327-2018
- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
- Assessment of an ensemble seasonal streamflow forecasting system for Australia J. Bennett et al. 10.5194/hess-21-6007-2017
- Improving Seasonal Forecasts for Basin Scale Hydrological Applications M. Grillakis et al. 10.3390/w10111593
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Skilful seasonal forecasts of streamflow over Europe? L. Arnal et al. 10.5194/hess-22-2057-2018
- Application of the CNOP‐P Ensemble Prediction (CNOP‐PEP) Method in Evapotranspiration Forecasting Over the Tibetan Plateau to Model Parameter Uncertainties G. Sun et al. 10.1029/2022MS003110
- Dynamics of meteorological time series on the base of ground measurements and retrospective data from MERRA‐2 for Poland M. Gos et al. 10.1002/joc.6787
- Catchment memory explains hydrological drought forecast performance S. Sutanto & H. Van Lanen 10.1038/s41598-022-06553-5
- Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. 10.2166/nh.2018.176
- Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America V. Siqueira et al. 10.1016/j.jhydrol.2020.125430
Latest update: 14 Dec 2024
Short summary
This paper presents a skill assessment of the global seasonal streamflow forecasting system FEWS-World. For 20 large basins of the world, forecasts using the ESP procedure are compared to forecasts using actual S3 seasonal meteorological forecast ensembles by ECMWF. The results are discussed in the context of prevailing hydroclimatic conditions per basin. The study concludes that in general, the skill of ECMWF S3 forecasts is close to that of the ESP forecasts.
This paper presents a skill assessment of the global seasonal streamflow forecasting system...
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