55 citations as recorded by crossref.

1. Designing a Climate Service for Planning Climate Actions in Vulnerable Countries C. Photiadou et al. https://doi.org/10.3390/atmos12010121
2. Assessing the Impact of Climate Change on an Ungauged Watershed in the Congo River Basin S. Masamba et al. https://doi.org/10.3390/w16192825
3. Assessing hydrologic and policy implications of irrigation on the Canadian prairies under climate change L. Vonderbank et al. https://doi.org/10.1007/s40899-025-01286-5
4. Hydrological regimes explain the seasonal predictability of streamflow extremes Y. Du et al. https://doi.org/10.1088/1748-9326/acf678
5. Virtual energy storage gain resulting from the spatio-temporal coordination of hydropower over Europe A. Wörman et al. https://doi.org/10.1016/j.apenergy.2020.115249
6. Sensitivity analysis and uncertainty assessment in water budgets simulated by the variable infiltration capacity model for Canadian subarctic watersheds R. Lilhare et al. https://doi.org/10.1002/hyp.13711
7. Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. https://doi.org/10.5194/hess-26-3419-2022
8. Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al. https://doi.org/10.5194/gmd-14-821-2021
9. Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River G. Massazza et al. https://doi.org/10.3390/w12123504
10. Towards a convection‐permitting regional reanalysis over the Italian domain I. Cerenzia et al. https://doi.org/10.1002/met.2092
11. Comparison of Artificial Neural Network and Regression Models for Filling Temporal Gaps of Meteorological Variables Time Series E. Dyukarev https://doi.org/10.3390/app13042646
12. Impacts of Uncontrolled Operator Splitting Methods on Parameter Identification, Prediction Uncertainty, and Subsurface Flux Representation in Conceptual Hydrological Models B. Woldegiorgis et al. https://doi.org/10.1029/2022WR033250
13. What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al. https://doi.org/10.1029/2019WR026987
14. Hydrometeorological dataset of West Siberian boreal peatland: a 10-year record from the Mukhrino field station E. Dyukarev et al. https://doi.org/10.5194/essd-13-2595-2021
15. Panta Rhei: a decade of progress in research on change in hydrology and society H. Kreibich et al. https://doi.org/10.1080/02626667.2025.2469762
16. Hydrological modeling of freshwater discharge into Hudson Bay using HYPE T. Stadnyk et al. https://doi.org/10.1525/elementa.439
17. Cumulative Effects of Uncertainty on Simulated Streamflow in a Hydrologic Modeling Environment S. Pokorny et al. https://doi.org/10.1525/elementa.431
18. HydroGFD3.0 (Hydrological Global Forcing Data): a 25 km global precipitation and temperature data set updated in near-real time P. Berg et al. https://doi.org/10.5194/essd-13-1531-2021
19. A Seasonal to Decadal Calibration of 1990–2100 Eastern Canadian Freshwater Discharge Simulations by Observations, Data Models, and Neural Networks R. Danielson et al. https://doi.org/10.1080/07055900.2025.2521502
20. Understanding the Physical Forcings Behind the Biogeochemical Productivity of the Hudson Bay Complex I. Deschepper et al. https://doi.org/10.1029/2022JG007294
21. Review of gridded climate products and their use in hydrological analyses reveals overlaps, gaps, and the need for a more objective approach to selecting model forcing datasets K. Mankin et al. https://doi.org/10.5194/hess-29-85-2025
22. High-resolution bias-corrected precipitation data over South Siberia, Russia N. Voropay et al. https://doi.org/10.1016/j.atmosres.2021.105528
23. Large-Scale Hydrological and Sediment Modeling in Nested Domains under Current and Changing Climate A. Bartosova et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002078
24. Integration of hydrological models with entropy and multi-objective optimization based methods for designing specific needs streamflow monitoring networks J. Ursulak & P. Coulibaly https://doi.org/10.1016/j.jhydrol.2020.125876
25. Comparing Satellite, Reanalysis, Fused and Gridded (In Situ) Precipitation Products Over Türkiye A. Akbas & H. Ozdemir https://doi.org/10.1002/joc.8671
26. Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica S. Arciniega-Esparza et al. https://doi.org/10.5194/hess-26-975-2022
27. Skill-informed seamless communication of European S2S hydrological forecasts I. Pechlivanidis & L. Crochemore https://doi.org/10.1088/1748-9326/ade0d7
28. Evaluating global precipitation datasets over Sicily: From daily estimates to extreme events M. Yıldız et al. https://doi.org/10.1016/j.ejrh.2025.103062
29. A baseline evaluation of atmospheric and river discharge conditions in the Hudson Bay Complex during 2016–2018 J. Lukovich et al. https://doi.org/10.1525/elementa.2020.00126
30. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. https://doi.org/10.5194/hess-24-5379-2020
31. Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. https://doi.org/10.1029/2022WR033655
32. Increasing Trends in Discharge Maxima of a Mediterranean River during Early Autumn G. Varlas et al. https://doi.org/10.3390/w15061022
33. Representing climate evolution in ensembles of GCM simulations for the Hudson Bay System M. Braun et al. https://doi.org/10.1525/elementa.2021.00011
34. Changing freshwater contributions to the Arctic T. Stadnyk et al. https://doi.org/10.1525/elementa.2020.00098
35. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. https://doi.org/10.5194/hess-24-535-2020
36. Assessment of Suitable Gridded Climate Datasets for Large-Scale Hydrological Modelling over South Korea D. Lee & K. Ahn https://doi.org/10.3390/rs14153535
37. Fuzzy Postprocessing to Advance the Quality of Continental Seasonal Hydrological Forecasts for River Basin Management H. Macian-Sorribes et al. https://doi.org/10.1175/JHM-D-19-0266.1
38. Evaluation of overland flow modelling hypotheses with a multi‐objective calibration using discharge and sediment data A. de Lavenne et al. https://doi.org/10.1002/hyp.14767
39. Assessing the impacts of climate change on climatic extremes in the Congo River Basin S. Karam et al. https://doi.org/10.1007/s10584-022-03326-x
40. Warming soil temperature and increasing baseflow in response to recent and potential future climate change across northern Manitoba, Canada R. Lilhare et al. https://doi.org/10.1002/hyp.14748
41. Intercomparison of Multiple Hydroclimatic Datasets across the Lower Nelson River Basin, Manitoba, Canada R. Lilhare et al. https://doi.org/10.1080/07055900.2019.1638226
42. A spatiotemporal framework to calibrate high‐resolution global monthly precipitation products: An application to the Urmia Lake Watershed in Iran M. Nasseri et al. https://doi.org/10.1002/joc.7358
43. Large-Scale Hydrological Models and Transboundary River Basins C. Skoulikaris https://doi.org/10.3390/w16060878
44. Nutrient inputs from subarctic rivers into Hudson Bay J. Lee et al. https://doi.org/10.1525/elementa.2021.00085
45. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? L. Crochemore et al. https://doi.org/10.1029/2019WR025700
46. Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions J. Musuuza et al. https://doi.org/10.3390/rs12050811
47. Comparison of open access global climate services for hydrological data J. Merks et al. https://doi.org/10.1080/02626667.2020.1820012
48. Simulating river regulation and reservoir performance in a continental-scale hydrologic model A. Tefs et al. https://doi.org/10.1016/j.envsoft.2021.105025
49. Tracking shifts in European drought hotspots M. Merlo et al. https://doi.org/10.1088/1748-9326/ae4ca7
50. Assessment on future rainfall variability for adaptive water resource management in Sabah M. Leong et al. https://doi.org/10.1051/bioconf/202413105012
51. Evaluation of precipitation datasets against local observations in southwestern Iran A. Fallah et al. https://doi.org/10.1002/joc.6445
52. Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models L. Devitt et al. https://doi.org/10.1088/1748-9326/abfac4
53. Seasonal Climate Forecast Skill Assessment for the Management of Water Resources in a Run of River Hydropower System in the Poqueira River (Southern Spain) E. Contreras et al. https://doi.org/10.3390/w12082119
54. Use of Ensemble-Based Gridded Precipitation Products for Assessing Input Data Uncertainty Prior to Hydrologic Modeling S. Pokorny et al. https://doi.org/10.3390/w12102751
55. Streamflow prediction in “geopolitically ungauged” basins using satellite observations and regionalization at subcontinental scale T. Du et al. https://doi.org/10.1016/j.jhydrol.2020.125016