47 citations as recorded by crossref.

1. A back-fitting algorithm to improve real-time flood forecasting X. Zhang et al. 10.1016/j.jhydrol.2018.04.051
2. Theoretical analysis of non‐Gaussian heterogeneity effects on subsurface flow and transport M. Riva et al. 10.1002/2016WR019353
3. Two-stage variational mode decomposition and support vector regression for streamflow forecasting G. Zuo et al. 10.5194/hess-24-5491-2020
4. Spatial multiple variables and single variable updating via hydrologic system differential response method in real-time flood forecasting X. Zhang et al. 10.1016/j.jhydrol.2025.133910
5. Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors D. McInerney et al. 10.1002/2016WR019168
6. Enhancing the hydrologic system differential response method for flood forecasting correction X. Zhang et al. 10.1016/j.jhydrol.2020.125793
7. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al. 10.3390/w15091693
8. Complex relationship between seasonal streamflow forecast skill and value in reservoir operations S. Turner et al. 10.5194/hess-21-4841-2017
9. An error model for long-range ensemble forecasts of ephemeral rivers J. Bennett et al. 10.1016/j.advwatres.2021.103891
10. New scaling model for variables and increments with heavy‐tailed distributions M. Riva et al. 10.1002/2015WR016998
11. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al. 10.1175/JHM-D-21-0167.1
12. Prediction of the monthly river water level by using ensemble decomposition modeling C. Pande et al. 10.1038/s41598-025-10893-3
13. Water flow probabilistic predictions based on a rainfall–runoff simulator: a two-regime model with variable selection M. Courbariaux et al. 10.1007/s13253-017-0278-5
14. Research on flood peak prediction in the three gorges region based on similarity search with multisource information fusion X. Wang et al. 10.1007/s12145-024-01509-x
15. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
16. Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting G. Zuo et al. 10.1016/j.jhydrol.2020.124776
17. Propagating reliable estimates of hydrological forecast uncertainty to many lead times J. Bennett et al. 10.1016/j.jhydrol.2021.126798
18. 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
19. A long short-term components neural network model with data augmentation for daily runoff forecasting J. Zhang & H. Yan 10.1016/j.jhydrol.2022.128853
20. Hybrid multi-module for short-term forecasting of river runoff considering spatio-temporal features H. Chen et al. 10.2166/nh.2024.125
21. Temporally varied error modelling for improving simulations and quantifying uncertainty L. Liu et al. 10.1016/j.jhydrol.2020.124914
22. Reliable hourly streamflow forecasting with emphasis on ephemeral rivers M. Li et al. 10.1016/j.jhydrol.2020.125739
23. Stacking ensemble learning models for daily runoff prediction using 1D and 2D CNNs Y. Xie et al. 10.1016/j.eswa.2022.119469
24. Assessment of an ensemble seasonal streamflow forecasting system for Australia J. Bennett et al. 10.5194/hess-21-6007-2017
25. 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
26. 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
27. 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
28. Combining two-stage decomposition based machine learning methods for annual runoff forecasting S. Chen et al. 10.1016/j.jhydrol.2021.126945
29. Multi-model integrated error correction for streamflow simulation based on Bayesian model averaging and dynamic system response curve J. Wang et al. 10.1016/j.jhydrol.2022.127518
30. Application of auto-regressive (AR) analysis to improve short-term prediction of water levels in the Yangtze estuary Y. Chen et al. 10.1016/j.jhydrol.2020.125386
31. Forecasting Magnitude and Frequency of Seasonal Streamflow Extremes Using a Bayesian Hierarchical Framework Á. Ossandón et al. 10.1029/2022WR033194
32. Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales D. Feng et al. 10.1029/2019WR026793
33. 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
34. Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al. 10.1016/j.jhydrol.2024.132119
35. 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
36. 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
37. Urban real-time rainfall-runoff prediction using adaptive SSA-decomposition with dual attention Y. Tian et al. 10.1016/j.jhydrol.2025.132701
38. A spatial distributed runoff correction approach based on differential response Z. Xiaoqin et al. 10.18307/2021.0624
39. Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting M. Li et al. 10.5194/hess-20-3561-2016
40. A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers Q. Wang et al. 10.1029/2019WR026128
41. 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-2025-04-04
42. 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
43. 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
44. Groundwater level prediction using a SOM-aided stepwise cluster inference model J. Han et al. 10.1016/j.jenvman.2016.07.069
45. 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
46. Objectivity verification experiment of the dynamic system response curve method for streamflow simulation J. Wang et al. 10.1016/j.jhydrol.2022.128969
47. A hybrid deep learning algorithm and its application to streamflow prediction Y. Lin et al. 10.1016/j.jhydrol.2021.126636