26 citations as recorded by crossref.

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2. A Model for Assessing the Importance of Runoff Forecasts in Periodic Climate on Hydropower Production S. Hao et al. 10.3390/w15081559
3. A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting G. Papacharalampous & H. Tyralis 10.3389/frwa.2022.961954
4. Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al. 10.1016/j.envsoft.2024.106094
5. Catchment memory explains hydrological drought forecast performance S. Sutanto & H. Van Lanen 10.1038/s41598-022-06553-5
6. 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
7. Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
8. A framework of integrating heterogeneous data sources for monthly streamflow prediction using a state-of-the-art deep learning model W. Xu et al. 10.1016/j.jhydrol.2022.128599
9. Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System S. Harrigan et al. 10.5194/hess-27-1-2023
10. Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop A. Dasgupta et al. 10.1111/jfr3.12880
11. Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. 10.1029/2022WR033655
12. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. 10.1016/j.ejrh.2023.101381
13. Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al. 10.5194/hess-27-4385-2023
14. A co-generation success story: Improving drinking water management through hydro-climate services C. Cantone et al. 10.1016/j.cliser.2023.100399
15. Spatiotemporal deep learning rainfall-runoff forecasting combined with remote sensing precipitation products in large scale basins S. Zhu et al. 10.1016/j.jhydrol.2022.128727
16. Predictability of daily streamflow for the great rivers of South America based on a simple metric I. Petry et al. 10.1080/02626667.2022.2139620
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19. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al. 10.1016/j.gsf.2022.101349
20. Characterization of Bias during Meteorological Drought Calculation in Time Series Out-of-Sample Validation K. Mammas & D. Lekkas 10.3390/w13182531
21. Stochastic optimization of a mixed moving average process for controlling non-Markovian streamflow environments H. Yoshioka et al. 10.1016/j.apm.2022.11.009
22. The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting S. Hauswirth et al. 10.5194/hess-27-501-2023
23. Robustness of hydrometeorological extremes in surrogated seasonal forecasts K. Klehmet et al. 10.1002/joc.8407
24. Quantifying multi-year hydrological memory with Catchment Forgetting Curves A. de Lavenne et al. 10.5194/hess-26-2715-2022
25. Hydrological regimes explain the seasonal predictability of streamflow extremes Y. Du et al. 10.1088/1748-9326/acf678
26. A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling B. Yifru et al. 10.2166/nh.2024.016