82 citations as recorded by crossref.

1. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
2. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al. 10.1016/j.gsf.2022.101349
3. A regional parameter estimation scheme for a pan-European multi-basin model Y. Hundecha et al. 10.1016/j.ejrh.2016.04.002
4. Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain R. Lane et al. 10.5194/hess-23-4011-2019
5. Prediction of streamflow regimes over large geographical areas: interpolated flow–duration curves for the Danube region A. Castellarin et al. 10.1080/02626667.2018.1445855
6. Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications L. França et al. 10.3389/fphys.2018.01767
7. DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology G. Coxon et al. 10.5194/gmd-12-2285-2019
8. Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models B. Woldegiorgis et al. 10.1029/2022WR033250
9. Reservoir operation impacts on streamflow and sediment dynamics in the transboundary river basin, Vietnam T. Bui et al. 10.1002/hyp.14994
10. How the performance of hydrological models relates to credibility of projections under climate change V. Krysanova et al. 10.1080/02626667.2018.1446214
11. Uncertainties in predicting impacts of climate change on hydrology in basin scale: a review D. Jose & G. Dwarakish 10.1007/s12517-020-06071-6
12. Seasonal streamflow forecasting in South America’s largest rivers I. Petry et al. 10.1016/j.ejrh.2023.101487
13. Predictability of daily streamflow for the great rivers of South America based on a simple metric I. Petry et al. 10.1080/02626667.2022.2139620
14. Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models H. Liu et al. 10.1002/hyp.14410
15. Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent M. Tarek et al. 10.1080/02626667.2021.1948046
16. A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations S. Sannasi Chakravarthy et al. 10.1002/cpe.7231
17. Impact of model structure on the accuracy of hydrological modeling of a Canadian Prairie watershed A. Muhammad et al. 10.1016/j.ejrh.2018.11.005
18. Precipitation pattern in the Western Himalayas revealed by four datasets H. Li et al. 10.5194/hess-22-5097-2018
19. Lessons learnt from checking the quality of openly accessible river flow data worldwide L. Crochemore et al. 10.1080/02626667.2019.1659509
20. Accelerating advances in continental domain hydrologic modeling S. Archfield et al. 10.1002/2015WR017498
21. Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. 10.3390/rs12050811
22. A review of model selection for hydrological studies M. Nesru 10.1007/s12517-023-11194-7
23. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al. 10.1029/2019WR025700
24. Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. 10.1175/JHM-D-19-0266.1
25. Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi‐Basin Modeling and Remote Sensing Imagery T. Du et al. 10.1029/2021WR031191
26. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
27. Climate Change Impacts on Reservoir Inflow in the Prairie Pothole Region: A Watershed Model Analysis A. Muhammad et al. 10.3390/w12010271
28. A new diagram for performance evaluation of complex models A. Izzaddin et al. 10.1007/s00477-024-02678-3
29. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. 10.5194/hess-26-975-2022
30. Process based calibration of a continental-scale hydrological model using soil moisture and streamflow data A. Bajracharya et al. 10.1016/j.ejrh.2023.101391
31. Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models C. Skoulikaris & M. Piliouras 10.1002/hyp.15044
32. Simulating river regulation and reservoir performance in a continental-scale hydrologic model A. Tefs et al. 10.1016/j.envsoft.2021.105025
33. Fit for purpose? Rapid development of water allocation models using global data: Application for the Upper Niger Basin K. Meijer et al. 10.1016/j.envsoft.2021.105168
34. Streamflow prediction in “geopolitically ungauged” basins using satellite observations and regionalization at subcontinental scale T. Du et al. 10.1016/j.jhydrol.2020.125016
35. Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent I. Pechlivanidis et al. 10.3390/w8050177
36. Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model S. Sinha et al. 10.1016/j.ejrh.2016.06.002
37. Model-based evidence for the relevance of microbial community variability to the efficiency of the anaerobic reductive dechlorination of TCE K. Kandris et al. 10.1016/j.jconhyd.2021.103834
38. Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya 10.1061/(ASCE)HE.1943-5584.0002072
39. Run-Of-River Small Hydropower Plants as Hydro-Resilience Assets against Climate Change C. Skoulikaris 10.3390/su132414001
40. Improving Urban Runoff in Multi-Basin Hydrological Simulation by the HYPE Model Using EEA Urban Atlas: A Case Study in the Sege River Basin, Sweden H. Tanouchi et al. 10.3390/hydrology6010028
41. Simulating flash flood hydrographs and behavior metrics across China: Implications for flash flood management X. Zhai et al. 10.1016/j.scitotenv.2020.142977
42. Streamflow data availability in Europe: a detailed dataset of interpolated flow-duration curves S. Persiano et al. 10.5194/essd-14-4435-2022
43. Toward continental hydrologic–hydrodynamic modeling in South America V. Siqueira et al. 10.5194/hess-22-4815-2018
44. Process refinements improve a hydrological model concept applied to the Niger River basin J. Andersson et al. 10.1002/hyp.11376
45. Assessing robustness in global hydrological predictions by comparing modelling and Earth observations R. Pimentel et al. 10.1080/02626667.2023.2267544
46. Understanding hydrologic variability across Europe through catchment classification A. Kuentz et al. 10.5194/hess-21-2863-2017
47. Combining streamflow observations and hydrologic simulations for the retrospective estimation of daily streamflow for ungauged rivers in southern Quebec (Canada) S. Lachance-Cloutier et al. 10.1016/j.jhydrol.2017.05.011
48. What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. 10.1029/2019WR026987
49. Which Potential Evapotranspiration Formula to Use in Hydrological Modeling World‐Wide? R. Pimentel et al. 10.1029/2022WR033447
50. Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues A. Gelfan et al. 10.1007/s10584-016-1710-5
51. Changeability of simulated watershed hydrographs from different vector scales and cell sizes M. Moradi Dashtpagerdi et al. 10.1016/j.catena.2019.104097
52. Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies M. Tarek et al. 10.1175/JHM-D-20-0100.1
53. Prediction of runoff at ungauged areas employing interpolation techniques and deep learning algorithm V. Mahakur et al. 10.1016/j.hydres.2024.12.001
54. Evaluation of the contributions of climate change and overgrazing to runoff in a typical grassland inland river basin Y. Zhou et al. 10.1016/j.ejrh.2024.101725
55. Increasing Trends in Discharge Maxima of a Mediterranean River during Early Autumn G. Varlas et al. 10.3390/w15061022
56. Uncertainty of gridded precipitation and temperature reference datasets in climate change impact studies M. Tarek et al. 10.5194/hess-25-3331-2021
57. Estimation of Water Budget Components of the Sakarya River Basin by Using the WEAP-PGM Model S. Yaykiran et al. 10.3390/w11020271
58. A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations A. Pugliese et al. 10.5194/hess-22-4633-2018
59. Assessing the Importance of Potholes in the Canadian Prairie Region under Future Climate Change Scenarios A. Muhammad et al. 10.3390/w10111657
60. Identifying the connective strength between model parameters and performance criteria B. Guse et al. 10.5194/hess-21-5663-2017
61. Hydrological modeling of freshwater discharge into Hudson Bay using HYPE T. Stadnyk et al. 10.1525/elementa.439
62. Robustness of hydroclimate metrics for climate change impact research M. Ekström et al. 10.1002/wat2.1288
63. A Race Against Time: Modeling Time Lags in Watershed Response I. Ilampooranan et al. 10.1029/2018WR023815
64. Spatial validation of a semi-distributed hydrological nutrient transport model S. Ghaffar et al. 10.1016/j.jhydrol.2020.125818
65. Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. 10.1002/wat2.1487
66. Modelling of the Discharge Response to Climate Change under RCP8.5 Scenario in the Alata River Basin (Mersin, SE Turkey) Ü. Yıldırım et al. 10.3390/w13040483
67. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden M. Girons Lopez et al. 10.5194/hess-25-1189-2021
68. Hydrological regimes explain the seasonal predictability of streamflow extremes Y. Du et al. 10.1088/1748-9326/acf678
69. Validation of a national hydrological model H. McMillan et al. 10.1016/j.jhydrol.2016.07.043
70. Development and validation of a physically-based, national-scale hydrological model in China H. Liu et al. 10.1016/j.jhydrol.2020.125431
71. Most computational hydrology is not reproducible, so is it really science? C. Hutton et al. 10.1002/2016WR019285
72. Factors controlling alterations in the performance of a runoff model in changing climate conditions P. Sleziak et al. 10.2478/johh-2018-0031
73. Extending a Large-Scale Model to Better Represent Water Resources without Increasing the Model’s Complexity R. Horan et al. 10.3390/w13213067
74. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
75. Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. 10.1029/2023WR034875
76. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
77. Hydrological Climate Change Impact Assessment at Small and Large Scales: Key Messages from Recent Progress in Sweden J. Olsson et al. 10.3390/cli4030039
78. Evaluation of an instantaneous dryness index-based calibration-free continuous hydrological model in India S. Patnaik et al. 10.2166/nh.2019.081
79. Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al. 10.1016/j.envsoft.2024.106094
80. Climate change effects on leaf rust of wheat: Implementing a coupled crop-disease model in a French regional application J. Caubel et al. 10.1016/j.eja.2017.07.004
81. Rainfall runoff modelling of the Upper Ganga and Brahmaputra basins using PERSiST M. Futter et al. 10.1039/C4EM00613E
82. Intercomparison of climate change impacts in 12 large river basins: overview of methods and summary of results V. Krysanova & F. Hattermann 10.1007/s10584-017-1919-y