47 citations as recorded by crossref.

1. A Medium and Long-Term Runoff Forecast Method Based on Massive Meteorological Data and Machine Learning Algorithms Y. Li et al. 10.3390/w13091308
2. Monthly and seasonal streamflow forecasting of large dryland catchments in Brazil A. Costa et al. 10.1007/s40333-021-0097-y
3. What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
4. A five-parameter Gamma-Gaussian model to calibrate monthly and seasonal GCM precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2021.126893
5. 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
6. Differing roles of base and fast flow in ensemble seasonal streamflow forecasting: An experimental investigation Z. Huang et al. 10.1016/j.jhydrol.2020.125272
7. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
8. Predictive performance of NMME seasonal forecasts of global precipitation: A spatial-temporal perspective T. Zhao et al. 10.1016/j.jhydrol.2018.12.036
9. Development of a national 7-day ensemble streamflow forecasting service for Australia H. Hapuarachchi et al. 10.5194/hess-26-4801-2022
10. Ensemble forecasting of monthly and seasonal reference crop evapotranspiration based on global climate model outputs T. Zhao et al. 10.1016/j.agrformet.2018.10.001
11. A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers Q. Wang et al. 10.1029/2019WR026128
12. A Bayesian modelling approach to forecasting short-term reference crop evapotranspiration from GCM outputs T. Zhao et al. 10.1016/j.agrformet.2019.02.003
13. A seven-parameter Bernoulli-Gamma-Gaussian model to calibrate subseasonal to seasonal precipitation forecasts Z. Huang et al. 10.1016/j.jhydrol.2022.127896
14. Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia S. Clark et al. 10.5194/hess-28-1191-2024
15. Assessing two precipitation data sources at basins of special interest to hydropower production in Brazil A. Reis et al. 10.1590/2318-0331.252020190068
16. Seasonal ensemble forecasts for soil moisture, evapotranspiration and runoff across Australia E. Vogel et al. 10.1016/j.jhydrol.2021.126620
17. Operational hydrometeorological forecasting on the Rhône River in France: moving toward a seamless probabilistic approach L. Caillouet et al. 10.1080/27678490.2022.2061312
18. Benchmarking ensemble streamflow prediction skill in the UK S. Harrigan et al. 10.5194/hess-22-2023-2018
19. The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions A. Kaune et al. 10.5194/hess-24-3851-2020
20. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al. 10.1111/jfr3.12864
21. A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al. 10.1016/j.jhydrol.2024.130837
22. Improvement in long-range streamflow forecasting accuracy using the Bayes' theorem S. Seo et al. 10.2166/nh.2019.098
23. Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria S. Yahiaoui et al. 10.1007/s40808-022-01444-0
24. OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia G. Ayzel 10.3390/hydrology8010003
25. An overview of the hydrology of non‐perennial rivers and streams M. Shanafield et al. 10.1002/wat2.1504
26. Hydrological data and modeling to combine and validate precipitation datasets relevant to hydrological applications A. Reis et al. 10.1016/j.ejrh.2022.101200
27. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al. 10.1029/2019WR026979
28. Comparison of improved relevance vector machines for streamflow predictions R. Adnan et al. 10.1002/for.3028
29. Improving medium-range streamflow forecasts over South Korea with a dual-encoder transformer model D. Lee & K. Ahn 10.1016/j.jenvman.2024.122114
30. Seasonal discharge forecasting for the Upper Danube I. Martin Santos et al. 10.1016/j.ejrh.2021.100905
31. Improving Flood Forecasting Skill by Combining Ensemble Precipitation Forecasts and Multiple Hydrological Models in a Mountainous Basin Y. Xiang et al. 10.3390/w16131887
32. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al. 10.5194/hess-22-6257-2018
33. A multi-model integration method for monthly streamflow prediction: modified stacking ensemble strategy Y. Li et al. 10.2166/hydro.2019.066
34. Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
35. Conditioning ensemble streamflow prediction with the North Atlantic Oscillation improves skill at longer lead times S. Donegan et al. 10.5194/hess-25-4159-2021
36. An evaluation of ECMWF SEAS5 seasonal climate forecasts for Australia using a new forecast calibration algorithm Q. Wang et al. 10.1016/j.envsoft.2019.104550
37. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
38. Evaluation of TIGGE Precipitation Forecast and Its Applicability in Streamflow Predictions over a Mountain River Basin, China Y. Xiang et al. 10.3390/w14152432
39. Forecasting Magnitude and Frequency of Seasonal Streamflow Extremes Using a Bayesian Hierarchical Framework Á. Ossandón et al. 10.1029/2022WR033194
40. Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0 R. Emerton et al. 10.5194/gmd-11-3327-2018
41. An error model for long-range ensemble forecasts of ephemeral rivers J. Bennett et al. 10.1016/j.advwatres.2021.103891
42. Evaluation of a stochastic weather generator for long-term ensemble streamflow forecasts S. Sohrabi & F. Brissette 10.1080/02626667.2021.1873343
43. Evaluation of GloFAS-Seasonal Forecasts for Cascade Reservoir Impoundment Operation in the Upper Yangtze River K. Chen et al. 10.3390/w11122539
44. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
45. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
46. Applying Machine Learning Methods to Improve Rainfall–Runoff Modeling in Subtropical River Basins H. Yu & Q. Yang 10.3390/w16152199
47. Complex relationship between seasonal streamflow forecast skill and value in reservoir operations S. Turner et al. 10.5194/hess-21-4841-2017