28 citations as recorded by crossref.

1. Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years U. Singh et al.
2. Advancing Medium-Range Streamflow Forecasting for Large Hydropower Reservoirs in Brazil by Means of Continental-Scale Hydrological Modeling A. Kolling Neto et al.
3. Deep Learning-Based Daily Streamflow Prediction Model for the Hanjiang River Basin J. Huang et al.
4. Better continental-scale streamflow predictions for Australia: LSTM as a land surface model post-processor and standalone hydrological model A. Shokri et al.
5. A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting M. Danesh et al.
6. Coupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis J. Li et al.
7. Comprehensive Overview of Flood Modeling Approaches: A Review of Recent Advances V. Kumar et al.
8. A blueprint for coupling a hydrological model with fine- and coarse-scale atmospheric regional climate change models for probabilistic streamflow projections C. Rajulapati et al.
9. Distributed and semi-distributed hydrological modelling for catchments draining to the Great Barrier Reef coastline U. Khan et al.
10. Vulnerability and resilience of hydropower generation under climate change scenarios: Haditha dam reservoir case study H. Tayyeh & R. Mohammed
11. A review of hybrid deep learning applications for streamflow forecasting K. Ng et al.
12. A hybrid framework for sub-seasonal to seasonal streamflow prediction: integrating numerical and statistical models L. Li et al.
13. Insights to key operational questions in forecast-informed dam release operation: case of Hume Dam T. Ng & D. Robertson
14. Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran M. Akbarian et al.
15. Hybrid forecasting: blending climate predictions with AI models L. Slater et al.
16. High-resolution impact-based early warning system for riverine flooding H. Najafi et al.
17. Performance Evaluation of a National Seven-Day Ensemble Streamflow Forecast Service for Australia M. Bari et al.
18. Simulation of Gauged and Ungauged Streamflow of Coastal Catchments across Australia M. Bari et al.
19. Technical note: Quadratic Solution of the Approximate Reservoir Equation (QuaSoARe) J. Lerat
20. Beyond Deterministic Forecasts: A Scoping Review of Probabilistic Uncertainty Quantification in Short-to-Seasonal Hydrological Prediction D. De León Pérez et al.
21. Improving Operational Ensemble Streamflow Forecasting with Conditional Bias-Penalized Post-Processing of Precipitation Forecast and Assimilation of Streamflow Data S. Kim & D. Seo
22. Changes in Magnitude and Shifts in Timing of Australian Flood Peaks M. Bari et al.
23. Assessment of hydrological model performance in Morocco in relation to model structure and catchment characteristics O. Jaffar et al.
24. What can be expected from a semi-distributed multi-model approach for streamflow forecasting? Tailoring the structure and size of a super-ensemble on the Rhône basin C. Thébault et al.
25. Calibration of precipitation forecasts from NWP models for ungauged locations Y. Du et al.
26. 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.
27. Simplified Approach to Mixed-Integer Chance-Constrained Optimization with Ensemble Streamflow Forecasts for Risk-Based Dam Operation T. Ng et al.
28. Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin A. Patel & S. Yadav