38 citations as recorded by crossref.

1. A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al.
2. Physical process-based attention encoder-decoder LSTM model to improve global soil moisture prediction Q. Li et al.
3. A Comparative Study of a Two-Dimensional Slope Hydrodynamic Model (TDSHM), Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN) Models for Runoff Prediction Y. Zhou et al.
4. Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models P. Bai et al.
5. Effects of characteristics of calibration periods on building hydrologic models in the upper basins of South Korea J. Park et al.
6. Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al.
7. Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al.
8. Multi-model simulation performance of monthly water balance models for global catchments: Thresholds and structural sensitivity Z. Ning et al.
9. Modelling phosphorus and potassium dynamics in drip-irrigated potato systems using coupled agro-hydrological model M. Rezaei et al.
10. Dissolved organic carbon response to hydrological drought characteristics: Based on long-term measurements of headwater streams J. Wu et al.
11. Identification of time-varying parameters of a monthly Budyko function in US MOPEX catchments and its implications W. Liu et al.
12. Event-aware SWAT+ calibration for stormflows with monthly nutrient data in the Qingjiang River Basin R. Wang et al.
13. Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda
14. Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining P. Singh et al.
15. Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations J. Salmon-Monviola et al.
16. A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu
17. Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting R. Graf et al.
18. Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al.
19. Hydrological balance and runoff from a montane peat bog traced by water temperature K. Falatkova et al.
20. Long-term hydrological budget over urban areas: approaches and challenges Y. Lin Xu et al.
21. Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al.
22. DBv2: an improved climate-centric calibration-free model for runoff-generation simulation P. Istalkar & B. Biswal
23. Faster increase in evapotranspiration in permafrost-dominated basins in the warming Pan-Arctic Q. Huang et al.
24. A physics-driven hybrid transformer model for hydrologic simulation under nonstationary environmental conditions H. Zhang et al.
25. Satellite-derived evapotranspiration for calibrating a spatially distributed hydrological model in a highly regulated Iranian river basin A. Jahanshahi
26. Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery F. Matthews et al.
27. A novel hybrid deep learning model with dynamic parameterization for accurate flood simulation B. Sun et al.
28. Parameter optimization method of hydrological model based on neural ordinary differential equations Q. Xiangzhao et al.
29. To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization E. Acuña Espinoza et al.
30. Integrating machine learning ensembles and flood classification for enhanced flood forecasting with dynamic parameter weighting H. Oppel et al.
31. An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al.
32. Streamflow prediction in ungauged basins: How dissimilar are drainage basins? P. Istalkar & B. Biswal
33. Quantifying uncertainty contributions of hydrologic modeling process to hydrologic drought projection in South Korea J. Park et al.
34. Quantifying Baseflow Changes Due to Irrigation Expansion Using SWAT+gwflow R. Navas et al.
35. Sensitivity and uncertainty of baseflow and discharge simulations using WetSpass-M in the Akaki catchment, central highlands of Ethiopia G. Nigussie et al.
36. Estimation of spatiotemporally varying parameters for grid-based distributed hydrologic models X. Zhang et al.
37. Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al.
38. Enhancing representation of data-scarce reservoir-regulated river basins using a hybrid DL-process based approach L. Deng et al.