52 citations as recorded by crossref.

1. Improved error modelling for streamflow forecasting at hourly time steps by splitting hydrographs into rising and falling limbs M. Li et al. 10.1016/j.jhydrol.2017.10.057
2. Global streamflow modelling using process-informed machine learning M. Magni et al. 10.2166/hydro.2023.217
3. An error model for long-range ensemble forecasts of ephemeral rivers J. Bennett et al. 10.1016/j.advwatres.2021.103891
4. Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too D. McInerney et al. 10.5194/hess-26-5669-2022
5. 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
6. Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al. 10.1016/j.jhydrol.2024.132119
7. Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges B. Alizadeh et al. 10.1175/JHM-D-19-0164.1
8. Effect of heteroscedasticity treatment in residual error models on model calibration and prediction uncertainty estimation R. Sun et al. 10.1016/j.jhydrol.2017.09.041
9. Enhancing probabilistic hydrological predictions with mixture density Networks: Accounting for heteroscedasticity and Non-Gaussianity D. Li et al. 10.1016/j.jhydrol.2024.131737
10. Error correction-based forecasting of reservoir water levels: Improving accuracy over multiple lead times X. Zhang et al. 10.1016/j.envsoft.2018.02.017
11. Neglecting hydrological errors can severely impact predictions of water resource system performance D. McInerney et al. 10.1016/j.jhydrol.2024.130853
12. Spatial runoff updating based on the hydrologic system differential response for flood forecasting X. Zhang et al. 10.2166/hydro.2020.045
13. Towards an Extension of the Model Conditional Processor: Predictive Uncertainty Quantification of Monthly Streamflow via Gaussian Mixture Models and Clusters J. Romero-Cuellar et al. 10.3390/w14081261
14. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. 10.1029/2019WR026979
15. Residual-Oriented Optimization of Antecedent Precipitation Index and Its Impact on Flood Prediction Uncertainty J. Liang et al. 10.3390/w14203222
16. A Bayesian Hierarchical Model Combination Framework for Real‐Time Daily Ensemble Streamflow Forecasting Across a Rainfed River Basin Á. Ossandón et al. 10.1029/2022EF002958
17. Toward Improved Probabilistic Predictions for Flood Forecasts Generated Using Deterministic Models X. Jiang et al. 10.1029/2019WR025477
18. System response curve correction method of runoff error for real-time flood forecast Q. Li et al. 10.2166/nh.2020.048
19. An automatic quality evaluation procedure for third-party daily rainfall observations and its application over Australia M. Li et al. 10.1007/s00477-023-02401-8
20. Propagating reliable estimates of hydrological forecast uncertainty to many lead times J. Bennett et al. 10.1016/j.jhydrol.2021.126798
21. Quantifying the Risks that Propagate from the Inflow Forecast Uncertainty to the Reservoir Operations with Coupled Flood and Electricity Curtailment Risks Q. Ma et al. 10.3390/w13020173
22. A Physics‐Aware Machine Learning‐Based Framework for Minimizing Prediction Uncertainty of Hydrological Models A. Roy et al. 10.1029/2023WR034630
23. Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms Y. Shen et al. 10.1016/j.cageo.2021.105019
24. Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al. 10.5194/hess-22-1831-2018
25. Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model J. Bennett et al. 10.1002/2016WR019193
26. Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al. 10.5194/gmd-12-2009-2019
27. Complex relationship between seasonal streamflow forecast skill and value in reservoir operations S. Turner et al. 10.5194/hess-21-4841-2017
28. Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty H. Pham et al. 10.1016/j.jhydrol.2021.126783
29. Improving the Reliability of Sub‐Seasonal Forecasts of High and Low Flows by Using a Flow‐Dependent Nonparametric Model D. McInerney et al. 10.1029/2020WR029317
30. Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods S. Charles et al. 10.5194/hess-22-3533-2018
31. Evaluating Operational Risk in Environmental Modeling: Assessment of Reliability and Sharpness for Ensemble Selection S. Pokorny et al. 10.1061/JHYEFF.HEENG-5833
32. Improving probabilistic streamflow predictions through a nonparametric residual error model J. Liang et al. 10.1016/j.envsoft.2024.105981
33. Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China L. Liu et al. 10.1016/j.jhydrol.2017.08.032
34. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al. 10.5194/hess-22-6257-2018
35. A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers Q. Wang et al. 10.1029/2019WR026128
36. Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions J. Hunter et al. 10.1016/j.jhydrol.2021.126578
37. On the use of distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking J. Vrugt et al. 10.1016/j.jhydrol.2022.128542
38. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al. 10.1175/JHM-D-21-0167.1
39. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
40. Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations Y. Zhang et al. 10.5194/hess-27-4529-2023
41. Development of a national 7-day ensemble streamflow forecasting service for Australia H. Hapuarachchi et al. 10.5194/hess-26-4801-2022
42. How does the quantification of uncertainties affect the quality and value of flood early warning systems? A. Thiboult et al. 10.1016/j.jhydrol.2017.05.014
43. Study of teleconnection between hydrological variables and climatological variables in a headwater basin of the Maipo River for forecast model application J. Montalva et al. 10.24850/j-tyca-16-4-3
44. A simplified approach to produce probabilistic hydrological model predictions D. McInerney et al. 10.1016/j.envsoft.2018.07.001
45. Performance Evaluation of a National Seven-Day Ensemble Streamflow Forecast Service for Australia M. Bari et al. 10.3390/w16101438
46. A Robust Gauss‐Newton Algorithm for the Optimization of Hydrological Models: From Standard Gauss‐Newton to Robust Gauss‐Newton Y. Qin et al. 10.1029/2017WR022488
47. A multi-model evaluation of probabilistic streamflow predictions via residual error modelling J. Romero-Cuellar et al. 10.1016/j.jhydrol.2024.131152
48. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
49. Simulation of Gauged and Ungauged Streamflow of Coastal Catchments across Australia M. Bari et al. 10.3390/w16040527
50. Temporally varied error modelling for improving simulations and quantifying uncertainty L. Liu et al. 10.1016/j.jhydrol.2020.124914
51. Evaluation and Benchmarking of Operational Short-Range Ensemble Mean and Median Streamflow Forecasts for the Ohio River Basin T. Adams III & R. Dymond 10.1175/JHM-D-18-0102.1
52. Reliable hourly streamflow forecasting with emphasis on ephemeral rivers M. Li et al. 10.1016/j.jhydrol.2020.125739