35 citations as recorded by crossref.

1. Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. https://doi.org/10.5194/hess-27-191-2023
2. Compound vs. single droughts: different impacts on river water quality revealed by multi-decadal observations J. Xu et al. https://doi.org/10.1016/j.ecolind.2025.113925
3. Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al. https://doi.org/10.1016/j.jhydrol.2026.135122
4. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. https://doi.org/10.1080/02626667.2021.1923720
5. A hybrid deep learning rainfall-runoff forecasting model Incorporating spatiotemporal information from multi-source data W. Liu et al. https://doi.org/10.1016/j.eswa.2025.129974
6. An evaluation of sub-daily precipitation simulations from a new high-resolution regional atmospheric reanalysis ALADIN V. Bližňák et al. https://doi.org/10.1016/j.atmosres.2025.108391
7. An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. https://doi.org/10.1109/TGRS.2024.3366400
8. Stability of Homogeneous Regions Under Record Extension and Its Propagation to Station-Level Rainfall Quantiles in Regional Frequency Analysis G. Lee et al. https://doi.org/10.3390/w18212647
9. Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell E. Acuña Espinoza et al. https://doi.org/10.5194/hess-29-1749-2025
10. A study of the influence of rainfall datasets' spatial resolution on stream simulation in Chaliyar River Basin, India S. Senan et al. https://doi.org/10.2166/wcc.2022.273
11. Towards an Optimal Representation of Sub‐Grid Heterogeneity in Land Surface Models L. Torres‐Rojas et al. https://doi.org/10.1029/2022WR032233
12. Evaluation of Satellite Rainfall Products over the Mahaweli River Basin in Sri Lanka H. Perera et al. https://doi.org/10.1155/2022/1926854
13. Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. https://doi.org/10.1016/j.jhydrol.2024.130871
14. Rainfall-runoff modeling based on HEC-HMS model: a case study in an area with increased groundwater discharge potential M. Herbei et al. https://doi.org/10.3389/frwa.2024.1474990
15. Preferential pathways for fluid and solutes in heterogeneous groundwater systems: self-organization, entropy, work E. Zehe et al. https://doi.org/10.5194/hess-25-5337-2021
16. Impact of precipitation on parameter sensitivity and identifiability in the variable infiltration capacity (VIC) model M. Noorbeh et al. https://doi.org/10.1080/02626667.2025.2569674
17. Advancing flood susceptibility mapping using evolutionary genetic programming and empirical models A. Pourzangbar et al. https://doi.org/10.1007/s10651-025-00695-1
18. Evaluation of differences between gridded precipitation products in the Southern Prairies of Manitoba O. Mohammadiigder et al. https://doi.org/10.1016/j.ejrh.2025.102786
19. Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al. https://doi.org/10.1002/hyp.14676
20. The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins G. Tang et al. https://doi.org/10.1029/2022WR033767
21. A Method for Merging Multi-Source Daily Satellite Precipitation Datasets and Gauge Observations over Poyang Lake Basin, China N. Zhao https://doi.org/10.3390/rs15092407
22. Improving daily precipitation estimations in a high mountainous watershed by developing a new downscaling method with spatially varying coefficients N. Zhao & X. Wu https://doi.org/10.1016/j.jhydrol.2023.130367
23. Can we reliably estimate precipitation with high resolution during disastrously large floods? J. Szturc et al. https://doi.org/10.5194/hess-29-5405-2025
24. Leveraging sap flow data in a catchment-scale hybrid model to improve soil moisture and transpiration estimates R. Loritz et al. https://doi.org/10.5194/hess-26-4757-2022
25. Estimating multi-source input uncertainties and their propagation for integrated water quantity and quality simulations B. Han et al. https://doi.org/10.1080/02626667.2025.2570849
26. A Comparison of Physics- and Data-based Modeling of Rural Drainage Systems H. Baumann et al. https://doi.org/10.1016/j.ifacol.2024.07.086
27. Two-dimensional differential form of distributed Xinanjiang model J. Zhao et al. https://doi.org/10.5194/hess-29-3745-2025
28. Flood risk assessment of cultural heritage sites near lakes via advanced hydrodynamic modeling and digital technologies M. Alexopoulos et al. https://doi.org/10.1016/j.rineng.2025.107977
29. The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. https://doi.org/10.3390/rs13030351
30. Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks K. Ośródka et al. https://doi.org/10.5194/amt-18-3229-2025
31. Representing subgrid precipitation variability in snowpack and hydrological modeling: Is adding complexity worth it? F. Givovich et al. https://doi.org/10.1016/j.jhydrol.2025.134038
32. Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models S. Wang et al. https://doi.org/10.5194/hess-27-3083-2023
33. A simple and effective approach to enhance the representation of spatial heterogeneity in lumped conceptual hydrological models: Application in the time-variant gain model Y. Zhu et al. https://doi.org/10.2166/nh.2025.184
34. Impact of re-gridding satellite precipitation data on the runoff simulation results in data-limited basin M. Sharifnia et al. https://doi.org/10.1007/s11600-026-01831-6
35. Impact of precipitation station density and homogeneous regions on hydrological modeling performance J. Song & H. Kim https://doi.org/10.1016/j.jhydrol.2025.133618