Articles | Volume 18, issue 2
https://doi.org/10.5194/hess-18-775-2014
© Author(s) 2014. 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-18-775-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Feb 2014
Research article |
| 26 Feb 2014
Attribution of hydrologic forecast uncertainty within scalable forecast windows
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Y. Sun
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Department of Civil and Environmental Engineering, Princeton University, New Jersey 08540, USA
H. Hu
State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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- Hydrological monitoring and seasonal forecasting: Progress and perspectives Q. Tang et al. https://doi.org/10.1007/s11442-016-1306-z
- Seasonal River Discharge Forecasting Using Support Vector Regression: A Case Study in the Italian Alps M. Callegari et al. https://doi.org/10.3390/w7052494
- An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 1: Understanding the role of initial hydrological conditions X. Yuan et al. https://doi.org/10.5194/hess-20-2437-2016
- A general framework for multivariate multi-index drought prediction based on Multivariate Ensemble Streamflow Prediction (MESP) Z. Hao et al. https://doi.org/10.1016/j.jhydrol.2016.04.074
- The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau Y. Nan et al. https://doi.org/10.5194/hess-25-3653-2021
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- A reservoir operation method that accounts for different inflow forecast uncertainties in different hydrological periods H. Liu et al. https://doi.org/10.1016/j.jclepro.2020.120471
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
- Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. https://doi.org/10.2166/nh.2018.176
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- Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting Z. Wang et al. https://doi.org/10.3390/w10070853
- Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2015.09.047
- Long‐term streamflow forecasting using artificial neural network based on preprocessing technique F. Li et al. https://doi.org/10.1002/for.2564
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- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. https://doi.org/10.5194/hess-27-4385-2023
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25 citations as recorded by crossref.
- Holistic uncertainty quantification and attribution for real-time seasonal streamflow predictions: Insights from input, parameter and initial condition L. Liu et al. https://doi.org/10.1016/j.ejrh.2025.102427
- The role of retrospective weather forecasts in developing daily forecasts of nutrient loadings over the southeast US J. Oh et al. https://doi.org/10.5194/hess-18-2885-2014
- A daily drought index-based regional drought forecasting using the Global Forecast System model outputs over China X. Zhang et al. https://doi.org/10.1016/j.atmosres.2022.106166
- Hydrological monitoring and seasonal forecasting: Progress and perspectives Q. Tang et al. https://doi.org/10.1007/s11442-016-1306-z
- Seasonal River Discharge Forecasting Using Support Vector Regression: A Case Study in the Italian Alps M. Callegari et al. https://doi.org/10.3390/w7052494
- An experimental seasonal hydrological forecasting system over the Yellow River basin – Part 1: Understanding the role of initial hydrological conditions X. Yuan et al. https://doi.org/10.5194/hess-20-2437-2016
- A general framework for multivariate multi-index drought prediction based on Multivariate Ensemble Streamflow Prediction (MESP) Z. Hao et al. https://doi.org/10.1016/j.jhydrol.2016.04.074
- The value of water isotope data on improving process understanding in a glacierized catchment on the Tibetan Plateau Y. Nan et al. https://doi.org/10.5194/hess-25-3653-2021
- Daily water level forecasting with limited data using cluster- and season-based transfer learning Z. Huang et al. https://doi.org/10.1016/j.scitotenv.2026.181923
- Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts Y. Li et al. https://doi.org/10.3390/w10020177
- A reservoir operation method that accounts for different inflow forecast uncertainties in different hydrological periods H. Liu et al. https://doi.org/10.1016/j.jclepro.2020.120471
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. https://doi.org/10.1029/2020WR028392
- Evaluation of the ECMWF System 4 climate forecasts for streamflow forecasting in the Upper Hanjiang River Basin F. Tian et al. https://doi.org/10.2166/nh.2018.176
- Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao https://doi.org/10.1002/wat2.1580
- Benchmarking seasonal forecasting skill using river flow persistence in Irish catchments D. Foran Quinn et al. https://doi.org/10.1080/02626667.2021.1874612
- Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times S. Donegan et al. https://doi.org/10.5194/hess-25-4159-2021
- Non-monotonic changes in Asian Water Towers’ streamflow at increasing warming levels T. Cui et al. https://doi.org/10.1038/s41467-023-36804-6
- Projected climate change impacts on future streamflow of the Yarlung Tsangpo-Brahmaputra River R. Xu et al. https://doi.org/10.1016/j.gloplacha.2019.01.012
- Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting Z. Wang et al. https://doi.org/10.3390/w10070853
- Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2015.09.047
- Long‐term streamflow forecasting using artificial neural network based on preprocessing technique F. Li et al. https://doi.org/10.1002/for.2564
- On the Dominant Factor Controlling Seasonal Hydrological Forecast Skill in China X. Zhang et al. https://doi.org/10.3390/w9110902
- Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. https://doi.org/10.5194/hess-27-4385-2023
- Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate R. Bazile et al. https://doi.org/10.5194/hess-21-5747-2017
- Extended-Range Runoff Forecasting Using a One-Way Coupled Climate–Hydrological Model: Case Studies of the Yiluo and Beijiang Rivers in China L. Liu et al. https://doi.org/10.3390/w11061150
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