Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6401-2017
© 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-21-6401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe
Dennis Meißner
CORRESPONDING AUTHOR
Federal Institute of Hydrology, 56068 Koblenz, Germany
Bastian Klein
Federal Institute of Hydrology, 56068 Koblenz, Germany
Monica Ionita
Alfred-Wegener-Institute, 27568 Bremerhaven, Germany
MARUM, Bremen University, Bremen, Germany
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- Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
- Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times S. Donegan et al. 10.5194/hess-25-4159-2021
- Vanishing river ice cover in the lower part of the Danube basin – signs of a changing climate M. Ionita et al. 10.1038/s41598-018-26357-w
- Can seasonal hydrological forecasts inform local decisions and actions? A decision-making activity J. Neumann et al. 10.5194/gc-1-35-2018
- Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
- Validation of a Key Performance Indicator Framework Demonstrating Economic Benefits Gained through Resolving Nautical Bottlenecks on Selected Sections of the Danube B. Duldner-Borca et al. 10.3390/su152416742
- Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach S. Monhart et al. 10.5194/hess-23-493-2019
- Moisture transport and Antarctic sea ice: austral spring 2016 event M. Ionita et al. 10.5194/esd-9-939-2018
- Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
- Hybrid forecasting: blending climate predictions with AI models L. Slater et al. 10.5194/hess-27-1865-2023
- A Vision for Hydrological Prediction D. Lavers et al. 10.3390/atmos11030237
- Advances and gaps in the science and practice of impact‐based forecasting of droughts A. Shyrokaya et al. 10.1002/wat2.1698
- Predicting temperature and precipitation during the flood season based on teleconnection J. Jung & H. Kim 10.1186/s40562-022-00212-3
- Integrating teleconnection factors into long-term complementary operating rules for hybrid power systems: A case study of Longyangxia hydro-photovoltaic plant in China H. Li et al. 10.1016/j.renene.2022.01.034
- Seasonal sub-basin-scale runoff predictions: A regional hydrometeorological Ensemble Kalman Filter framework using global datasets M. Borne et al. 10.1016/j.ejrh.2022.101146
- What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
- Benchmarking seasonal forecasting skill using river flow persistence in Irish catchments D. Foran Quinn et al. 10.1080/02626667.2021.1874612
- Implementing Hydrological Forecasting Services Supporting Waterway Management and Transportation Logistics Relating to Hydroclimatic Impacts D. Meißner et al. 10.3390/atmos13101606
- Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0 R. Emerton et al. 10.5194/gmd-11-3327-2018
- Moving from drought hazard to impact forecasts S. Sutanto et al. 10.1038/s41467-019-12840-z
- Long‐range precipitation forecast based on multipole and preceding fluctuations of sea surface temperature X. Wu et al. 10.1002/joc.7690
- Periodic Fluctuations of Transport as a Determinant of Inland Waterway Shipping Competitiveness R. Rolbiecki & M. Matusiewicz 10.1061/JWPED5.WWENG-2054
- Seasonal streamflow forecasts for Europe – Part 2: Sources of skill W. Greuell et al. 10.5194/hess-23-371-2019
- An Evaluation of Model Output Statistics for Subseasonal Streamflow Forecasting in European Catchments S. Schick et al. 10.1175/JHM-D-18-0195.1
- Rivers in the sky, flooding on the ground: the role of atmospheric rivers in inland flooding in central Europe M. Ionita et al. 10.5194/hess-24-5125-2020
- September Arctic sea ice minimum prediction – a skillful new statistical approach M. Ionita et al. 10.5194/esd-10-189-2019
- Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
- Forecasting low flow conditions months in advance through teleconnection patterns, with a special focus on summer 2018 M. Ionita & V. Nagavciuc 10.1038/s41598-020-70060-8
- Sub seasonal streamflow forecast assessment at large-scale basins E. Schmitt Quedi & F. Mainardi Fan 10.1016/j.jhydrol.2020.124635
- Hydropower System Operation and the Quality of Short-Term Hydrologic Ensemble Forecasts M. Osina Torres et al. 10.1061/JWRMD5.WRENG-5608
- Seasonal discharge forecasting for the Upper Danube I. Martin Santos et al. 10.1016/j.ejrh.2021.100905
- Understanding the effects of resolving nautical bottlenecks on the Danube: a KPI-based conceptual framework B. Duldner-Borca et al. 10.1186/s12544-023-00599-w
- Ten-Meter Wind Speed Forecast Correction in Southwest China Based on U-Net Neural Network T. Xiang et al. 10.3390/atmos14091355
- 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
- The benefit of seamless forecasts for hydrological predictions over Europe F. Wetterhall & F. Di Giuseppe 10.5194/hess-22-3409-2018
- Towards seasonal forecasting of flood probabilities in Europe using climate and catchment information E. Steirou et al. 10.1038/s41598-022-16633-1
- Skilful seasonal forecasts of streamflow over Europe? L. Arnal et al. 10.5194/hess-22-2057-2018
- The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter? D. Anghileri et al. 10.1029/2019WR025280
- Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery G. Milani et al. 10.1109/JSTARS.2020.2980381
- Weekly streamflow forecasting of Rhine river based on machine learning approaches Z. Khozani et al. 10.1007/s11069-024-06962-x
- Exploring the use of seasonal forecasts to adapt flood insurance premiums V. Nguyen et al. 10.5194/nhess-24-2923-2024
1 citations as recorded by crossref.
Discussed (final revised paper)
Discussed (preprint)
Latest update: 23 Nov 2024
Short summary
Inland waterway transport is a commercial sector relying on hydrological forecasts on different timescales. This paper describes the set-up of a monthly to seasonal forecasting system for the German waterways. Multiple approaches are tested, compared and combined. Despite the predictive limitations on longer lead times, this study reveals the existence of a valuable predictability on monthly up to seasonal timescales. Forecast quality depends on forecast location, lead time and season.
Inland waterway transport is a commercial sector relying on hydrological forecasts on different...
Special issue