80 citations as recorded by crossref.

1. The Accuracy of Precipitation Forecasts at Timescales of 1–15 Days in the Volta River Basin M. Gebremichael et al. 10.3390/rs14040937
2. Assessment of left-censored data treatment methods using stochastic simulation F. Silva & É. Pinto 10.1590/2318-0331.282320230087
3. Hydrological simulation of ungauged basins via forcing by large‐scale hydrology models C. Skoulikaris & M. Piliouras 10.1002/hyp.15044
4. Characterization and assessment of hydrological droughts using GloFAS streamflow data for the Narmada River Basin, India S. Swain et al. 10.1007/s11356-023-27036-8
5. Assessing future urban flood hazard: A comprehensive approach to estimating the implications of future rainfall scenarios H. Moon et al. 10.1111/jfr3.13000
6. Attribution of Amazon floods to modes of climate variability: A review J. Towner et al. 10.1002/met.1949
7. Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming W. Liu et al. 10.1029/2020WR028830
8. CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. 10.5194/essd-16-1811-2024
9. Using Machine Learning to Cut the Cost of Dynamical Downscaling S. Hobeichi et al. 10.1029/2022EF003291
10. Assessing the past and adapting to future floods: a hydro-social analysis R. Devkota et al. 10.1007/s10584-020-02909-w
11. The Skills of Medium-Range Precipitation Forecasts in the Senegal River Basin M. Gebremichael et al. 10.3390/su14063349
12. Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System S. Harrigan et al. 10.5194/hess-27-1-2023
13. Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models L. Devitt et al. 10.1088/1748-9326/abfac4
14. Evaluating satellite-based evapotranspiration estimates for hydrological applications in data-scarce regions: A case in Ethiopia Y. Dile et al. 10.1016/j.scitotenv.2020.140702
15. Are open-source hydrodynamic models efficient in quantifying flood risks over mountainous terrains? An exhaustive analysis over the Hindu-Kush-Himalayan region T. Namgyal et al. 10.1016/j.scitotenv.2023.165357
16. Flooding time nomograph for urban river flood prediction: Case study of Dorim stream basin, Seoul H. Moon et al. 10.1111/jfr3.12887
17. Boosting algorithms for projecting streamflow in the Lower Godavari Basin for different climate change scenarios B. Mishra et al. 10.2166/wst.2024.011
18. Analysis and Comparison of the flood simulations with the routing model CaMa-Flood at different spatial resolutions in the CONUS R. Jiang et al. 10.1016/j.envsoft.2024.106305
19. Evaluation of gridded precipitation data in water availability modeling in CONUS F. Wolkeba & M. Mekonnen 10.1016/j.jhydrol.2023.130575
20. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues 10.1016/j.jhydrol.2021.126674
21. Assessing the Implication of Climate Change to Forecast Future Flood Using SWAT and HEC-RAS Model under CMIP5 Climate Projection in Upper Nan Watershed, Thailand M. Satriagasa et al. 10.3390/su15065276
22. Building Synthetic Bathymetries for Unsurveyed Reservoirs: Hydrologically Conditioned Cubic Spline Interpolation C. Bastidas Pacheco & D. Rivas 10.1061/JHYEFF.HEENG-5885
23. Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America M. Troin et al. 10.3390/w13213112
24. Seasonality induced nutritional status in Nigeria Internally Displaced Persons (IDP) camps: CORDEX-Africa projected scenarios U. Okoro et al. 10.1016/j.ijdrr.2024.105101
25. How much inundation occurs in the Amazon River basin? A. Fleischmann et al. 10.1016/j.rse.2022.113099
26. Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis D. Lee et al. 10.5194/hess-26-2431-2022
27. Mitigating urban flood Hazards: Hybrid strategy of structural measures H. Moon et al. 10.1016/j.ijdrr.2024.104542
28. Development and testing of updated curve number models for efficient runoff estimation in steep-slope watersheds M. Ajmal et al. 10.1016/j.jhydrol.2022.129049
29. Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. 10.1016/j.jhydrol.2024.130960
30. Influence of ENSO and tropical Atlantic climate variability on flood characteristics in the Amazon basin J. Towner et al. 10.5194/hess-25-3875-2021
31. Determining the spatial contributions of land use changes on the streamflow and sediment transport regimes: a case study of the Gorganroud watershed in Iran M. Khoie et al. 10.1007/s11356-023-25478-8
32. A decision‐led evaluation approach for flood forecasting system developments: An application to the Global Flood Awareness System in Bangladesh S. Hossain et al. 10.1111/jfr3.12959
33. An innovative hydrological model for the sparsely-gauged Essequibo River basin, northern Amazonia D. Hughes et al. 10.1080/15715124.2023.2278678
34. The dilemma of objective function selection for sensitivity and uncertainty analyses of semi-distributed hydrologic models across spatial and temporal scales J. Acero Triana et al. 10.1016/j.jhydrol.2024.132482
35. Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework R. Vogeti et al. 10.2166/wcc.2024.594
36. Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework J. Hoch et al. 10.5194/nhess-19-1723-2019
37. Can the young water fraction reduce predictive uncertainty in water transit time estimations? A. Borriero et al. 10.1016/j.jhydrol.2024.132238
38. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al. 10.1080/02626667.2021.1873346
39. A signal-processing-based interpretation of the Nash–Sutcliffe efficiency L. Duc & Y. Sawada 10.5194/hess-27-1827-2023
40. Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. 10.1016/j.pce.2024.103565
41. Climate change impact on flood hazard over Italy M. García-Valdecasas Ojeda et al. 10.1016/j.jhydrol.2022.128628
42. Understanding the compound flood risk along the coast of the contiguous United States D. Feng et al. 10.5194/hess-27-3911-2023
43. Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores W. Knoben et al. 10.5194/hess-23-4323-2019
44. Optimization of the SWAT+ model to adequately predict different segments of a managed streamflow hydrograph T. Tigabu et al. 10.1080/02626667.2024.2364714
45. Intercomparison of global reanalysis precipitation for flood risk modelling F. McClean et al. 10.5194/hess-27-331-2023
46. Physics‐Informed Neural Networks of the Saint‐Venant Equations for Downscaling a Large‐Scale River Model D. Feng et al. 10.1029/2022WR033168
47. Predicting impact of land cover change on flood peak using hybrid machine learning models M. Sedighkia & B. Datta 10.1007/s00521-022-08070-y
48. Improving Monthly Rainfall Forecast in a Watershed by Combining Neural Networks and Autoregressive Models A. Pérez-Alarcón et al. 10.1007/s40710-022-00602-x
49. Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
50. Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations C. Zheng et al. 10.1016/j.jhydrol.2022.128444
51. Performance of the Global Forecast System's medium-range precipitation forecasts in the Niger river basin using multiple satellite-based products H. Yue et al. 10.5194/hess-26-167-2022
52. Recommendations to improve the interpretation of global flood forecasts to support international humanitarian operations for tropical cyclones L. Speight et al. 10.1111/jfr3.12952
53. Indicator metrics and temporal aggregations introduce ambiguities in water scarcity estimates F. Wolkeba et al. 10.1038/s41598-024-65155-5
54. Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. 10.1029/2022WR032312
55. Evaluating a finer resolution global hydrological model’s simulation of discharge in four West-African river basins T. Babalola et al. 10.1007/s40808-020-00948-x
56. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. 10.1016/j.ejrh.2023.101381
57. Urban flood forecasting using a hybrid modeling approach based on a deep learning technique H. Moon et al. 10.2166/hydro.2023.203
58. Reliability of the IMERG product through reference rain gauges in Central Italy M. Gentilucci et al. 10.1016/j.atmosres.2022.106340
59. GNSS Radio Occultation Infilling of the African Radiosonde Data Gaps Reveals Drivers of Tropopause Climate Variability T. Ding et al. 10.1029/2022JD036648
60. On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow D. Tiwari et al. 10.5194/hess-28-1127-2024
61. A novel high-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds – development and hydrological evaluation 10.1175/JHM-D-20-0285.1
62. Using ensemble reforecasts to generate flood thresholds for improved global flood forecasting E. Zsoter et al. 10.1111/jfr3.12658
63. PESTIPOND: A descriptive model of pesticide fate in artificial ponds: II. Model application and evaluation A. Bahi et al. 10.1016/j.ecolmodel.2023.110472
64. A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
65. Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al. 10.1088/1748-9326/ac5cf4
66. Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh D. Feng et al. 10.5194/hess-26-5473-2022
67. LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations M. Sharifian et al. 10.5194/gmd-16-2391-2023
68. Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products Z. Wei et al. 10.1016/j.jhydrol.2020.125180
69. Spatiotemporal variability of streamflow under current and projected climate scenarios of Andit Tid watershed, central highland of Ethiopia A. Woldemariam et al. 10.1007/s43621-024-00440-x
70. The great 1983 floods in South American large rivers: a continental hydrological modelling approach A. Fleischmann et al. 10.1080/02626667.2020.1747622
71. Amazon Hydrology From Space: Scientific Advances and Future Challenges A. Fassoni‐Andrade et al. 10.1029/2020RG000728
72. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. 10.1016/j.jhydrol.2024.130879
73. Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
74. Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2021.148323
75. River discharge prediction for ungauged mountainous river basins during heavy rain events based on seismic noise data S. P.C. & K. Sawazaki 10.1186/s40645-021-00448-1
76. Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models Y. Hou et al. 10.1029/2021WR031817
77. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al. 10.5194/hess-25-2187-2021
78. Forecasting annual maximum water level for the Negro River at Manaus using dynamical seasonal predictions A. Chevuturi et al. 10.1016/j.cliser.2023.100342
79. Alteration of River Flow and Flood Dynamics by Existing and Planned Hydropower Dams in the Amazon River Basin S. Chaudhari & Y. Pokhrel 10.1029/2021WR030555
80. Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics S. Chaudhari et al. 10.5194/hess-23-2841-2019