10 citations as recorded by crossref.

1. Towards hydrological model calibration using river level measurements J. Jian et al. https://doi.org/10.1016/j.ejrh.2016.12.085
2. Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures A. Gupta et al. https://doi.org/10.1016/j.jhydrol.2024.131774
3. Aquatic Risks at the Landscape Scale: A Case Study for Pyrethroid Use in Pome Fruit Orchards in Belgium W. Buddendorf et al. https://doi.org/10.1021/acs.est.3c02716
4. Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli https://doi.org/10.1002/hyp.10972
5. Influence of typhoon and monsoon-enhanced rainfall patterns on riverine flooding in Balanga City, Philippines G. Cruz et al. https://doi.org/10.3389/frwa.2026.1775842
6. Bayesian spectral likelihood for hydrological parameter inference B. Schaefli & D. Kavetski https://doi.org/10.1002/2016WR019465
7. Assessing a Regression-Based Regionalization Approach to Ungauged Sites with Various Hydrologic Models in a Forested Catchment in the Northeastern United States G. Clark et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001582
8. Season‐based rainfall–runoff modelling using the probability‐distributed model (PDM) for large basins in southeastern Brazil R. Zhang et al. https://doi.org/10.1002/hyp.13154
9. A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction A. Wright et al. https://doi.org/10.5194/hess-21-3827-2017
10. Accounting for dependencies in regionalized signatures for predictions in ungauged catchments S. Almeida et al. https://doi.org/10.5194/hess-20-887-2016