26 citations as recorded by crossref.

1. Changes in the surface water – Groundwater interactions of the Murray-Darling basin (Australia) over the past half a century R. Crosbie et al.
2. Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey H. Feizi et al.
3. Evaluating the long short-term memory (LSTM) network for discharge prediction under changing climate conditions C. Natel de Moura et al.
4. Climate Change Impacts on Irish River Flows: High Resolution Scenarios and Comparison with CORDEX and CMIP6 Ensembles C. Murphy et al.
5. Evaluating different strategies for machine learning training applied to flow forecasting based on clustering of flood events P. Steffen et al.
6. Multi-model simulation performance of monthly water balance models for global catchments: Thresholds and structural sensitivity Z. Ning et al.
7. Towards an understanding of uncertainties in the Lagrangian analysis of moisture sources for tropical cyclone precipitation through a study case A. Pérez-Alarcón et al.
8. Separating climate and deep Earth signals in satellite gravimetry: a global assessment A. Saraswati et al.
9. Propagation and Characteristics of Hydrometeorological Drought Under Changing Climate in Irish Catchments H. Meresa et al.
10. Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data C. O'Sullivan et al.
11. Predictability of flow metrics calculated using a distributed hydrologic model across ecoregions and stream classes: Implications for developing flow–ecology relationships M. Eddy et al.
12. An assessment of climate change impacts on stream phosphorus using a climate model ensemble and Bayesian Belief Networks C. Negri et al.
13. A novel multi-objective model calibration method for ecohydrological applications J. Hernandez-Suarez et al.
14. Estimation of flood hydrographs in the ungauged mountainous watershed with Gray synthetic unit hydrograph model E. Bahrami et al.
15. Flow Prediction Using Remotely Sensed Soil Moisture in Irish Catchments C. Yang & F. O’Loughlin
16. Using Deep Learning Algorithms for Intermittent Streamflow Prediction in the Headwaters of the Colorado River, Texas F. Forghanparast & G. Mohammadi
17. Probabilistic Predictions of Ecologically Relevant Hydrologic Indices Using a Hydrological Model J. Hernandez‐Suarez & A. Nejadhashemi
18. Simulated Changes in Seasonal and Low Flows with Climate Change for Irish Catchments H. Meresa et al.
19. Hunting for Information in Streamflow Signatures to Improve Modelled Drainage R. Schneider et al.
20. Future Change Projections of Extreme Floods at Catchment Scale and Hydrodynamic Response of Its Downstream Lake Based on Catchment‐Waterbody Relationship Simulation R. Hua et al.
21. The future of Upernavik Isstrøm through the ISMIP6 framework: sensitivity analysis and Bayesian calibration of ensemble prediction E. Jager et al.
22. A generalised hydrological model for streamflow prediction using wavelet Ensembling C. Panda et al.
23. Improved river transmission loss modelling for environmental flow releases during droughts S. Kim et al.
24. Far-future hydrology will differentially change the phosphorus transfer continuum P. Mellander et al.
25. What makes a robust calibration period? Insights into the effects of data properties O. Jaffar et al.
26. Disaggregated monthly hydrological models can outperform daily models in providing daily flow statistics and extrapolate well to a drying climate A. John et al.