26 citations as recorded by crossref.

1. A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al.
2. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al.
3. Evaluation of precipitation forecasts for five-day streamflow forecasting in Narmada River basin A. Singh et al.
4. A hybrid framework for sub-seasonal to seasonal streamflow prediction: integrating numerical and statistical models L. Li et al.
5. Comparing the impact of precipitation pre-processing and streamflow post-processing for daily sub-seasonal streamflow forecasts over the Gan River basin Y. Li et al.
6. Exploring the role of the long short‐term memory model in improving multi‐step ahead reservoir inflow forecasting X. Luo et al.
7. Calibrating Hourly Precipitation Forecasts with Daily Observations C. Cattoën et al.
8. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al.
9. A co-generation success story: Improving drinking water management through hydro-climate services C. Cantone et al.
10. Choosing between post-processing precipitation forecasts or chaining several uncertainty quantification tools in hydrological forecasting systems E. Valdez et al.
11. Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow A. Mazrooei et al.
12. The Value of Subseasonal Hydrometeorological Forecasts to Hydropower Operations: How Much Does Preprocessing Matter? D. Anghileri et al.
13. Estimating Ensemble Flood Forecasts’ Uncertainty: A Novel “Peak-Box” Approach for Detecting Multiple Peak-Flow Events A. Giordani et al.
14. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al.
15. Evaluation of the potential of using subsets of historical climatological data for ensemble streamflow prediction (ESP) forecasting B. Sabzipour et al.
16. Leveraging GCM-based forecasts for enhanced seasonal streamflow prediction in diverse hydrological regimes M. Girons Lopez et al.
17. Sub seasonal streamflow forecast assessment at large-scale basins E. Schmitt Quedi & F. Mainardi Fan
18. Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework M. Stergiadi et al.
19. Sub-seasonal streamflow forecasts for hydropower dams in the Brazilian Eletrical Interconnected System E. Quedi et al.
20. Evaluating the added value of subseasonal weather forecasts for EU national wheat yield forecasts M. Zachow et al.
21. Evaluating skill and robustness of seasonal meteorological and hydrological drought forecasts at the catchment scale – Case Catalonia (Spain) T. Van Hateren et al.
22. Tercile Forecasts for Extending the Horizon of Skillful Hydrological Predictions K. Bogner et al.
23. Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts R. Laugesen et al.
24. Hybrid forecasting: blending climate predictions with AI models L. Slater et al.
25. A data-assimilated SEAS5 forecasting framework for seasonal hydropower inflows in a snow-dominated basin G. Uysal et al.
26. Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM T. Ramotubei et al.