63 citations as recorded by crossref.

1. Analysis of ensemble and control forecasts from GEFS and NEPS for reservoir inflow prediction A. Panchal & S. Yadav
2. Assessing the impact of resolution and soil datasets on flash-flood modelling A. Lovat et al.
3. Improving global hydrological simulations through bias-correction and multi-model blending A. Chevuturi et al.
4. Probabilistic flood forecasting on the Rhone River: evaluation with ensemble and analogue-based precipitation forecasts J. Bellier et al.
5. Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon F. Farinosi et al.
6. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al.
7. Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India U. Vegad & V. Mishra
8. Assessment of subseasonal streamflow predictions in a tropical basin A. Falck et al.
9. Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio
10. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al.
11. A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution Y. Hu et al.
12. Automation and human expertise in operational river forecasting T. Pagano et al.
13. Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts Y. Li et al.
14. Ensemble Streamflow Forecasting across the U.S. Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS Reforecasts R. Siddique & A. Mejia
15. Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system S. Sharma et al.
16. Analysis of the effects of biases in ensemble streamflow prediction (ESP) forecasts on electricity production in hydropower reservoir management R. Arsenault & P. Côté
17. Dependence of model-based extreme flood estimation on the calibration period: case study of the Kamp River (Austria) P. Brigode et al.
18. On the incidence of meteorological and hydrological processors: Effect of resolution, sharpness and reliability of hydrological ensemble forecasts M. Abaza et al.
19. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al.
20. Seasonal predictability of water resources in a Mediterranean freshwater reservoir and assessment of its utility for end-users R. Marcos et al.
21. Postprocessing continental-scale, medium-range ensemble streamflow forecasts in South America using Ensemble Model Output Statistics and Ensemble Copula Coupling V. Siqueira et al.
22. Quantifying the contributions of hydrological pre-processor, post-processor, and data assimilator to ensemble streamflow prediction skill J. Zhang et al.
23. Strategies for hydrologic ensemble generation and calibration: On the merits of using model-based predictors A. Tiberi-Wadier et al.
24. An Efficient Method to Correct Under-Dispersion in Ensemble Streamflow Prediction of Inflow Volumes for Reservoir Optimization R. Arsenault et al.
25. Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control V. Ramaswamy & F. Saleh
26. Assessing the value of seasonal hydrological forecasts for improving water resource management: insights from a pilot application in the UK A. Peñuela et al.
27. Use of Ensemble-Based Forecasting Methods in Reservoir Operation: Issues and Implementation Challenges R. Teegavarapu et al.
28. Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting F. Bourgin et al.
29. Ensemble hydrological predictions at an intraseasonal scale through a statistical–dynamical downscaling approach over southwestern Amazonia W. Gomes et al.
30. Seasonal streamflow forecasts in the Ahlergaarde catchment, Denmark: the effect of preprocessing and post-processing on skill and statistical consistency D. Lucatero et al.
31. Accounting for three sources of uncertainty in ensemble hydrological forecasting A. Thiboult et al.
32. Hydrological ensemble prediction systems H. Cloke et al.
33. Postprocessing of Medium Range Hydrological Ensemble Forecasts Making Use of Reforecasts J. Van den Bergh & E. Roulin
34. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al.
35. Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs – a conceptual approach M. Cassagnole et al.
36. Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts L. Crochemore et al.
37. Operational hydrometeorological forecasting on the Rhône River in France: moving toward a seamless probabilistic approach L. Caillouet et al.
38. Inter-comparison between retrospective ensemble streamflow forecasts using meteorological inputs from ECMWF and NOAA/ESRL in the Hudson River sub-basins during Hurricane Irene (2011) F. Saleh et al.
39. A platform for probabilistic Multimodel and Multiproduct Streamflow Forecasting T. Roy et al.
40. Ensemble-based flash-flood modelling: Taking into account hydrodynamic parameters and initial soil moisture uncertainties S. Edouard et al.
41. Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al.
42. Performance of ensemble streamflow forecasts under varied hydrometeorological conditions H. Benninga et al.
43. Enhancing the predictability of flood forecasts by combining Numerical Weather Prediction ensembles with multiple hydrological models K. Nikhil Teja et al.
44. Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales J. Verkade et al.
45. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al.
46. Les Analogues, une approche statistique adaptée pour la prévision opérationnelle des crues et étendue à l’ensemble de la France R. Marty et al.
47. Post‐processing of medium‐range probabilistic hydrological forecasting: impact of forcing, initial conditions and model errors E. Roulin & S. Vannitsem
48. Enhancing streamflow ensemble forecasting: evaluating pre- and post-processing strategies for a spatially distributed model A. Askarinejad et al.
49. Operational forecast uncertainty assessment for better information to stakeholders and crisis managers L. Berthet et al.
50. Pre- and postprocessing flood forecasts using Bayesian model averaging T. Hegdahl et al.
51. Evaluation of the potential of using subsets of historical climatological data for ensemble streamflow prediction (ESP) forecasting B. Sabzipour et al.
52. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al.
53. Ensemble streamflow forecasting experiments in a tropical basin: The São Francisco river case study F. Fan et al.
54. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al.
55. Evaluation of a stochastic weather generator for long-term ensemble streamflow forecasts S. Sohrabi & F. Brissette
56. Evaluation of Subseasonal-to-Seasonal (S2S) precipitation forecast from the North American Multi-Model ensemble phase II (NMME-2) over the contiguous U.S. L. Zhang et al.
57. Novel Deep Learning Transformer Model for Short to Sub‐Seasonal Streamflow Forecast A. Ambika et al.
58. From Deterministic to Probabilistic Forecasts: The ‘Shift-Target’ Approach in the Milan Urban Area (Northern Italy) G. Lombardi et al.
59. Selecting components in a probabilistic hydrological forecasting chain: the benefits of an integrated evaluation J. Bellier et al.
60. Value of various elements of the hydrological forecasting chain: Is there a successful pathway for improving the overall performance? J. Davidson-Chaput et al.
61. Evaluation and Bias Correction of S2S Precipitation for Hydrological Extremes W. Li et al.
62. Enhancing NWP-Based Reference Evapotranspiration Forecasts: Role of ETo Approaches and Temperature Postprocessing S. Saminathan & S. Mitra
63. Calibration of Limited-Area Ensemble Precipitation Forecasts for Hydrological Predictions T. Diomede et al.