20 citations as recorded by crossref.

1. Improving the calibration strategy of the physically-based model WaSiM-ETH using critical events S. Singh et al. https://doi.org/10.1080/02626667.2012.727091
2. Comparative study of a physically based distributed hydrological model versus a conceptual hydrological model for assessment of climate change response in the Upper Nile, Baro-Akobo basin: a case study of the Sore watershed, Ethiopia A. Kebede et al. https://doi.org/10.1080/15715124.2014.917315
3. A comparison of hydrological models for assessing the impact of land use and climate change on discharge in a tropical catchment T. Cornelissen et al. https://doi.org/10.1016/j.jhydrol.2013.06.016
4. Future high- and low-flow estimations for Central Vietnam: a hydro-meteorological modelling chain approach Q. Dang et al. https://doi.org/10.1080/02626667.2017.1353696
5. Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. https://doi.org/10.2478/johh-2019-0005
6. Exploring the potential for parameter transfer from daily to hourly time step in the HYPE model for Sweden D. Fuentes-Andino et al. https://doi.org/10.1080/02626667.2022.2121165
7. Land use change increases flood hazard: a multi-modelling approach to assess change in flood characteristics driven by socio-economic land use change scenarios J. Hounkpè et al. https://doi.org/10.1007/s11069-018-3557-8
8. Modeling land use change impacts on water resources in a tropical West African catchment (Dano, Burkina Faso) Y. Yira et al. https://doi.org/10.1016/j.jhydrol.2016.03.052
9. Sub-daily runoff predictions using parameters calibrated on the basis of data with a daily temporal resolution J. Reynolds et al. https://doi.org/10.1016/j.jhydrol.2017.05.012
10. Storylines of combined future land use and climate scenarios and their hydrological impacts in an Alpine catchment (Brixental/Austria) U. Strasser et al. https://doi.org/10.1016/j.scitotenv.2018.12.077
11. Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. https://doi.org/10.1016/j.heliyon.2023.e19639
12. Temporal dynamics of model parameter sensitivity for computationally expensive models with the Fourier amplitude sensitivity test D. Reusser et al. https://doi.org/10.1029/2010WR009947
13. Sensitivity of Hydrological Simulations of Southeastern United States Watersheds to Temporal Aggregation of Rainfall S. Bastola & V. Misra https://doi.org/10.1175/JHM-D-12-096.1
14. Влияние временной агрегации данных наблюдений на результаты калибровки параметров и эффективность моделирования стока на примере малых водосборов (юг Приморского края, Россия) С. Лупаков et al. https://doi.org/10.31857/S0321059624030035
15. Modelling forest snow processes with a new version of WaSiM K. Förster et al. https://doi.org/10.1080/02626667.2018.1518626
16. Hydrological modelling at multiple sub-daily time steps: Model improvement via flux-matching A. Ficchì et al. https://doi.org/10.1016/j.jhydrol.2019.05.084
17. Simulated impact of past and possible future land use changes on the hydrological response of the Northern German lowland ‘Hunte’ catchment S. Elfert & H. Bormann https://doi.org/10.1016/j.jhydrol.2009.12.040
18. The Effect of Temporal Aggregation of Observation Data on Parameter Calibration Results and the Efficiency of Runoff Simulation: Case Study of Small Catchments (Southern Primorskii Krai, Russia) S. Lupakov et al. https://doi.org/10.1134/S0097807824700738
19. Evaluation of the Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a Critical Zone Observatory Y. Shi et al. https://doi.org/10.1175/JHM-D-12-0177.1
20. Multimodel quantification of green and blue water components and its error propagations through parameter transferability approach across input choices A. Dey & R. Remesan https://doi.org/10.1016/j.jhydrol.2022.127579