28 Feb 2011
A hydrologic post-processor for ensemble streamflow predictions
L. Zhao
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Q. Duan
College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
J. Schaake
NOAA/National Weather Service, Silver Spring, MD, USA
retired
A. Ye
College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
J. Xia
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
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Cited
48 citations as recorded by crossref.
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- Bayesian flood forecasting methods: A review S. Han & P. Coulibaly 10.1016/j.jhydrol.2017.06.004
- The multi temporal/multi-model approach to predictive uncertainty assessment in real-time flood forecasting S. Barbetta et al. 10.1016/j.jhydrol.2017.06.030
- Climate index weighting of ensemble streamflow forecasts using a simple Bayesian approach A. Bradley et al. 10.1002/2014WR016811
- <i>Preface</i> Towards practical applications in ensemble hydro-meteorological forecasting Y. He et al. 10.5194/adgeo-29-119-2011
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Statistical Post-Processing to Improve Hydrometeorological Forecasts 青. 段 10.12677/JWRR.2012.14023
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- Integrating weather and climate predictions for seamless hydrologic ensemble forecasting: A case study in the Yalong River basin A. Ye et al. 10.1016/j.jhydrol.2017.01.053
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- Quantile-Based Hydrological Modelling H. Tyralis & G. Papacharalampous 10.3390/w13233420
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- Sub‐Seasonal Prediction of Drought and Streamflow Anomalies for Water Management in India A. Tiwari & V. Mishra 10.1029/2021JD035737
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- Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System G. Matthews et al. 10.5194/hess-26-2939-2022
- Short-term ensemble streamflow forecasting using operationally-produced single-valued streamflow forecasts – A Hydrologic Model Output Statistics (HMOS) approach S. Regonda et al. 10.1016/j.jhydrol.2013.05.028
- Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post-processing on skill and statistical consistency D. Lucatero et al. 10.5194/hess-22-3601-2018
- 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
- Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges B. Alizadeh et al. 10.1175/JHM-D-19-0164.1
- MELPF version 1: Modeling Error Learning based Post-Processor Framework for Hydrologic Models Accuracy Improvement R. Wu et al. 10.5194/gmd-12-4115-2019
- Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies I. Zalachori et al. 10.5194/asr-8-135-2012
Latest update: 14 Mar 2025
