Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-493-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-493-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jan 2019
Research article |
| 28 Jan 2019
| 28 Jan 2019
Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach
Swiss Federal Institute for Forest, Snow and Landscape Research
WSL, Mountain Hydrology and Mass Movements, Birmensdorf,
Switzerland
Federal Office of Meteorology and Climatology
MeteoSwiss, Climate Prediction, Zurich Airport, Switzerland
ETH
Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland
Massimiliano Zappa
Swiss Federal Institute for Forest, Snow and Landscape Research
WSL, Mountain Hydrology and Mass Movements, Birmensdorf,
Switzerland
Christoph Spirig
Federal Office of Meteorology and Climatology
MeteoSwiss, Climate Prediction, Zurich Airport, Switzerland
Christoph Schär
ETH
Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland
Konrad Bogner
Swiss Federal Institute for Forest, Snow and Landscape Research
WSL, Mountain Hydrology and Mass Movements, Birmensdorf,
Switzerland
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Cited
20 citations as recorded by crossref.
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- Evaluation of the potential of using subsets of historical climatological data for ensemble streamflow prediction (ESP) forecasting B. Sabzipour et al. 10.1016/j.jhydrol.2020.125656
- A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
- Sub seasonal streamflow forecast assessment at large-scale basins E. Schmitt Quedi & F. Mainardi Fan 10.1016/j.jhydrol.2020.124635
- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework M. Stergiadi et al. 10.3390/w12082255
- Evaluation of precipitation forecasts for five-day streamflow forecasting in Narmada River basin A. Singh et al. 10.1080/02626667.2022.2151913
- Exploring the role of the long short‐term memory model in improving multi‐step ahead reservoir inflow forecasting X. Luo et al. 10.1111/jfr3.12854
- Calibrating Hourly Precipitation Forecasts with Daily Observations C. Cattoën et al. 10.1175/JHM-D-19-0246.1
- Sub-seasonal streamflow forecasts for hydropower dams in the Brazilian Eletrical Interconnected System E. Quedi et al. 10.1590/2318-0331.292420230109
- Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. 10.1029/2019WR026979
- A co-generation success story: Improving drinking water management through hydro-climate services C. Cantone et al. 10.1016/j.cliser.2023.100399
- Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al. 10.5194/hess-26-197-2022
- Evaluating skill and robustness of seasonal meteorological and hydrological drought forecasts at the catchment scale – Case Catalonia (Spain) T. Van Hateren et al. 10.1016/j.envint.2019.105206
- Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow A. Mazrooei et al. 10.1016/j.jhydrol.2021.126559
- Tercile Forecasts for Extending the Horizon of Skillful Hydrological Predictions K. Bogner et al. 10.1175/JHM-D-21-0020.1
- The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter? D. Anghileri et al. 10.1029/2019WR025280
- Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts R. Laugesen et al. 10.5194/hess-27-873-2023
- Hybrid forecasting: blending climate predictions with AI models L. Slater et al. 10.5194/hess-27-1865-2023
- Estimating Ensemble Flood Forecasts’ Uncertainty: A Novel “Peak-Box” Approach for Detecting Multiple Peak-Flow Events A. Giordani et al. 10.3390/atmos11010002
20 citations as recorded by crossref.
- Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. 10.1002/wat2.1574
- Evaluation of the potential of using subsets of historical climatological data for ensemble streamflow prediction (ESP) forecasting B. Sabzipour et al. 10.1016/j.jhydrol.2020.125656
- A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
- Sub seasonal streamflow forecast assessment at large-scale basins E. Schmitt Quedi & F. Mainardi Fan 10.1016/j.jhydrol.2020.124635
- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework M. Stergiadi et al. 10.3390/w12082255
- Evaluation of precipitation forecasts for five-day streamflow forecasting in Narmada River basin A. Singh et al. 10.1080/02626667.2022.2151913
- Exploring the role of the long short‐term memory model in improving multi‐step ahead reservoir inflow forecasting X. Luo et al. 10.1111/jfr3.12854
- Calibrating Hourly Precipitation Forecasts with Daily Observations C. Cattoën et al. 10.1175/JHM-D-19-0246.1
- Sub-seasonal streamflow forecasts for hydropower dams in the Brazilian Eletrical Interconnected System E. Quedi et al. 10.1590/2318-0331.292420230109
- Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. 10.1029/2019WR026979
- A co-generation success story: Improving drinking water management through hydro-climate services C. Cantone et al. 10.1016/j.cliser.2023.100399
- Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al. 10.5194/hess-26-197-2022
- Evaluating skill and robustness of seasonal meteorological and hydrological drought forecasts at the catchment scale – Case Catalonia (Spain) T. Van Hateren et al. 10.1016/j.envint.2019.105206
- Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow A. Mazrooei et al. 10.1016/j.jhydrol.2021.126559
- Tercile Forecasts for Extending the Horizon of Skillful Hydrological Predictions K. Bogner et al. 10.1175/JHM-D-21-0020.1
- The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter? D. Anghileri et al. 10.1029/2019WR025280
- Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts R. Laugesen et al. 10.5194/hess-27-873-2023
- Hybrid forecasting: blending climate predictions with AI models L. Slater et al. 10.5194/hess-27-1865-2023
- Estimating Ensemble Flood Forecasts’ Uncertainty: A Novel “Peak-Box” Approach for Detecting Multiple Peak-Flow Events A. Giordani et al. 10.3390/atmos11010002
Latest update: 22 Nov 2024
Short summary
Subseasonal streamflow forecasts have received increasing attention during the past decade, but their performance in alpine catchments is still largely unknown. We analyse the effect of a statistical correction technique applied to the driving meteorological forecasts on the performance of the resulting streamflow forecasts. The study shows the benefits of such hydrometeorological ensemble prediction systems and highlights the importance of snow-related processes for subseasonal predictions.
Subseasonal streamflow forecasts have received increasing attention during the past decade, but...
