13 citations as recorded by crossref.

1. Streamflow forecasting using Kolmogorov-Arnold network V. Varma & J. Patel https://doi.org/10.1088/2631-8695/addd66
2. On the (im)possible validation of hydrogeological models V. Andréassian https://doi.org/10.5802/crgeos.142
3. Robustness of hydrological models for simulating impacts of climate change on high and low streamflow A. Ten Berge et al. https://doi.org/10.1016/j.jhydrol.2025.133734
4. Comparing multi-model mosaic and multi-model combination methods to simulate streamflow across the contiguous USA C. Thébault et al. https://doi.org/10.5194/hess-30-3945-2026
5. The robustness of conceptual rainfall-runoff modelling under climate variability – A review H. Ji et al. https://doi.org/10.1016/j.jhydrol.2023.129666
6. Interrogating process deficiencies in large-scale hydrologic models with interpretable machine learning A. Husic et al. https://doi.org/10.5194/hess-29-4457-2025
7. Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. https://doi.org/10.5194/hess-29-683-2025
8. 140-year daily ensemble streamflow reconstructions over 661 catchments in France A. Devers et al. https://doi.org/10.5194/hess-28-3457-2024
9. Improving Distributed Hydrological Model Robustness Through Multi‐Variable Calibration M. Gibbs et al. https://doi.org/10.1002/hyp.70525
10. OpenForecast: An Assessment of the Operational Run in 2020–2021 G. Ayzel & D. Abramov https://doi.org/10.3390/geosciences12020067
11. Hybrid models generalize better to warmer climate conditions than process-based and purely data-driven models J. Bohl et al. https://doi.org/10.5194/hess-30-4667-2026
12. A large transient multi-scenario multi-model ensemble of future streamflow and groundwater projections in France E. Sauquet et al. https://doi.org/10.5194/hess-30-2277-2026
13. How to assess water quality change in temperate headwater catchments of western Europe under climate change: examples and perspectives C. Gascuel-Odoux et al. https://doi.org/10.5802/crgeos.147