137 citations as recorded by crossref.

1. Regional modelling of rainfall-induced runoff using hydrological model by incorporating plant cover effects: case study in Kelantan, Malaysia S. Mansor et al. https://doi.org/10.1007/s11069-018-3322-z
2. Does internal climate variability overwhelm climate change signals in streamflow? The upper Po and Rhone basin case studies S. Fatichi et al. https://doi.org/10.1016/j.scitotenv.2013.12.014
3. Estimating a-priori kinematic wave model parameters based on regionalization for flash flood forecasting in the Conterminous United States H. Vergara et al. https://doi.org/10.1016/j.jhydrol.2016.06.011
4. Ensemble Evaluation and Member Selection of Regional Climate Models for Impact Models Assessment A. Minaei et al. https://doi.org/10.3390/w14233967
5. GPM-IMERG product: a new way to assess the climate change impact on water resources in a Moroccan semi-arid basin T. Saouabe et al. https://doi.org/10.2166/wcc.2022.403
6. Application of a Distributed Hydrologic Model to Flood Forecasting in Catchments of Different Conditions Z. Liu et al. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:5(378)
7. Flood Forecasting and Decision Making in the new Millennium. Where are We? E. Todini https://doi.org/10.1007/s11269-017-1693-7
8. Towards water resilience: A multi-stage calibration framework for large-scale integrated surface–subsurface hydrological models L. Sandoval et al. https://doi.org/10.1016/j.jhydrol.2025.134527
9. Impact assessment of land cover changes on the runoff changes on the extreme flood events in the Kelantan River basin N. Saadatkhah et al. https://doi.org/10.1007/s12517-016-2716-z
10. Forecasting road network functionality states during extreme rainfall events to facilitate real-time emergency response planning J. Wang & N. Wang https://doi.org/10.1016/j.ress.2024.110452
11. Present status of soil moisture estimation over the African continent L. Myeni et al. https://doi.org/10.1016/j.ejrh.2018.11.004
12. A comparison of the performance of SWAT and artificial intelligence models for monthly rainfall–runoff analysis in the Peddavagu River Basin, India P. Shekar et al. https://doi.org/10.2166/aqua.2023.048
13. Recent developments in predictive uncertainty assessment based on the model conditional processor approach G. Coccia & E. Todini https://doi.org/10.5194/hess-15-3253-2011
14. Mitigating flood vulnerabilities through retarding basin systems: A case study in Bengawan Solo River, Indonesia T. Prayogo et al. https://doi.org/10.1016/j.ijdrr.2025.105629
15. GRHyMoLAP: A process-driven ODE catchment hydrology model inspired by GR4J and HyMoLAP approaches S. Ezéckiel Houénafa et al. https://doi.org/10.1016/j.jhydrol.2026.135597
16. Participatory design of robust and sustainable development pathways in the Omo-Turkana river basin M. Giuliani et al. https://doi.org/10.1016/j.ejrh.2022.101116
17. Unraveling the hydrology of a Himalayan catchment through integration of high resolution in situ data and remote sensing with an advanced simulation model S. Ragettli et al. https://doi.org/10.1016/j.advwatres.2015.01.013
18. Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall: a case study of the Gilgel Ghibe catchment in Ethiopia Z. Rabba https://doi.org/10.2166/nh.2025.089
19. Role and treatment of uncertainty in real‐time flood forecasting E. Todini https://doi.org/10.1002/hyp.5687
20. Extreme Hydrological Event Concept and Its Analysis and Application in the Small Watershed 彩. 胡 https://doi.org/10.12677/JWRR.2013.23025
21. Structural characteristics of mixed plantation of pinus massoniana and oak in danjiangkou reservoir area L. En et al. https://doi.org/10.1088/1755-1315/371/2/022041
22. A statistically based runoff‐yield model coupling infiltration excess and saturation excess mechanisms Z. Liang et al. https://doi.org/10.1002/hyp.8357
23. Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth R. Lin et al. https://doi.org/10.3390/atmos13060930
24. Construction and Validation of Surface Soil Moisture Inversion Model Based on Remote Sensing and Neural Network R. Lin et al. https://doi.org/10.3390/atmos15060647
25. Evaluation of Climate Driven Simulations of Po River Flow from 1971 to 2000 Through Flow-Duration Curve Indices: Preliminary Results R. Vezzoli et al. https://doi.org/10.2139/ssrn.2491404
26. A sensitivity assessment of the TOPKAPI model with an added infiltration module S. Sinclair & G. Pegram https://doi.org/10.1016/j.jhydrol.2012.11.061
27. Scientific, technical and institutional challenges towards next-generation operational flood risk management decision support systems D. Schwanenberg et al. https://doi.org/10.1080/15715124.2017.1411924
28. The use of distributed hydrological models for the Gard 2002 flash flood event: Analysis of associated hydrological processes I. Braud et al. https://doi.org/10.1016/j.jhydrol.2010.03.033
29. Preserving the dominant physical processes in a lumped hydrological model M. Martina et al. https://doi.org/10.1016/j.jhydrol.2010.12.039
30. High-resolution distributed analysis of climate and anthropogenic changes on the hydrology of an Alpine catchment S. Fatichi et al. https://doi.org/10.1016/j.jhydrol.2015.03.036
31. A new interpretable streamflow prediction approach based on SWAT-BiLSTM and SHAP F. Huang & X. Zhang https://doi.org/10.1007/s11356-024-32725-z
32. Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer R. Adnan et al. https://doi.org/10.1007/s44196-024-00699-y
33. Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model F. Silvestro et al. https://doi.org/10.5194/hess-17-39-2013
34. The distributed model intercomparison project – Phase 2: Experiment design and summary results of the western basin experiments M. Smith et al. https://doi.org/10.1016/j.jhydrol.2013.08.040
35. Modelling of hydrological responses: the representative elementary watershed approach as an alternative blueprint for watershed modelling P. Reggiani & J. Schellekens https://doi.org/10.1002/hyp.5167
36. Hybrid artificial intelligence-time series models for monthly streamflow modeling S. Mehdizadeh et al. https://doi.org/10.1016/j.asoc.2019.03.046
37. Modeling of soil erosion and sediment transport in the East River Basin in southern China Y. Wu & J. Chen https://doi.org/10.1016/j.scitotenv.2012.09.057
38. Assessing strategic water availability using remote sensing, GIS and a spatial water budget model: case study of the Upper Ing Basin, Thailand K. KC https://doi.org/10.1080/02626667.2011.588604
39. Modelling the hydrological response of debris‐free and debris‐covered glaciers to present climatic conditions in the semiarid Andes of central Chile A. Ayala et al. https://doi.org/10.1002/hyp.10971
40. Comparison of modeling approaches for flood forecasting in the High Atlas Mountains of Morocco E. El Khalki et al. https://doi.org/10.1007/s12517-018-3752-7
41. A flood episode in northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions S. Davolio et al. https://doi.org/10.5194/hess-17-2107-2013
42. Interannual variability in glacier contribution to runoff from a high‐elevation Andean catchment: understanding the role of debris cover in glacier hydrology F. Burger et al. https://doi.org/10.1002/hyp.13354
43. Hydrological simulation of Po River (North Italy) discharge under climate change scenarios using the RCM COSMO-CLM R. Vezzoli et al. https://doi.org/10.1016/j.scitotenv.2015.03.096
44. Large spatial variations in the distributions of and factors affecting forest water retention capacity in China X. Wu et al. https://doi.org/10.1016/j.ecolind.2020.106152
45. Developing an alternative data-driven model to resemble geomorphologic rainfall-runoff models P. Huang & K. Lee https://doi.org/10.1080/19475705.2025.2516725
46. Trends in 20th century global rainfall interception as simulated by a dynamic global vegetation model: implications for global water resources S. Murray https://doi.org/10.1002/eco.1325
47. Responses of streamflow to climate variability and human activities in the Yanhe watershed, China J. Wang et al. https://doi.org/10.1080/10807039.2017.1349542
48. On the assessment of the impact of reducing parameters and identification of parameter uncertainties for a hydrologic model with applications to ungauged basins M. Huang & X. Liang https://doi.org/10.1016/j.jhydrol.2005.07.010
49. Improvement and comparison of likelihood functions for model calibration and parameter uncertainty analysis within a Markov chain Monte Carlo scheme Q. Cheng et al. https://doi.org/10.1016/j.jhydrol.2014.10.008
50. Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria M. Anaraki et al. https://doi.org/10.3390/w15203576
51. Estimation of Monthly Areal Precipitation using Daymet and PRISM J. Kim et al. https://doi.org/10.9798/KOSHAM.2012.12.5.083
52. Modeling Hydrological Response to Climate Change in a Data-Scarce Glacierized High Mountain Astore Basin Using a Fully Distributed TOPKAPI Model I. Atif et al. https://doi.org/10.3390/cli7110127
53. Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics G. Battista et al. https://doi.org/10.5194/esurf-8-619-2020
54. Evaluation of a Stand-Alone WRF-Hydro Modeling System Using Different Rainfall Forcing Data: Case Study Over the Godavari River Basin, India D. Mane & A. Chandrasekar https://doi.org/10.1007/s00024-022-03136-3
55. SEHR-ECHO v1.0: a Spatially Explicit Hydrologic Response model for ecohydrologic applications B. Schaefli et al. https://doi.org/10.5194/gmd-7-2733-2014
56. Representação dos processos hidrológicos em bacia hidrográfica do semiárido paraibano com modelagem hidrológica distribuída V. Felix & A. Paz https://doi.org/10.1590/2318-0331.011616009
57. When timing matters—misdesigned dam filling impacts hydropower sustainability M. Zaniolo et al. https://doi.org/10.1038/s41467-021-23323-5
58. Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach R. Paiva et al. https://doi.org/10.1016/j.jhydrol.2011.06.007
59. Current awareness https://doi.org/10.1002/hyp.5153
60. Improving the flood prediction capability of the Xin’anjiang model by formulating a new physics-based routing framework and a key routing parameter estimation method S. Zang et al. https://doi.org/10.1016/j.jhydrol.2021.126867
61. Application of the TOPKAPI Model in Flood Forecasting of the Upstream of the Zhenjiang River in China L. Liang et al. https://doi.org/10.3390/w14040618
62. An introduction to the hydrological modelling system PREVAH and its pre- and post-processing-tools D. Viviroli et al. https://doi.org/10.1016/j.envsoft.2009.04.001
63. Hydrologic response of a high altitude glacierized basin in the central Tibetan Plateau B. Li et al. https://doi.org/10.1016/j.gloplacha.2014.04.006
64. Development of a Hybrid Wavelet Packet- Group Method of Data Handling (WPGMDH) Model for Runoff Forecasting V. Moosavi et al. https://doi.org/10.1007/s11269-016-1507-3
65. Sediment transport modelling in a distributed physically based hydrological catchment model M. Konz et al. https://doi.org/10.5194/hess-15-2821-2011
66. Physically based vs. data-driven models for streamflow and reservoir volume prediction at a data-scarce semi-arid basin G. Özdoğan-Sarıkoç & F. Dadaser-Celik https://doi.org/10.1007/s11356-024-33732-w
67. Current Practice and Recommendations for Modelling Global Change Impacts on Water Resource in the Himalayas A. Momblanch et al. https://doi.org/10.3390/w11061303
68. On the Operational Flood Forecasting Practices Using Low-Quality Data Input of a Distributed Hydrological Model B. Li et al. https://doi.org/10.3390/su12198268
69. Challenges and Uncertainties in Hydrological Modeling of Remote Hindu Kush–Karakoram–Himalayan (HKH) Basins: Suggestions for Calibration Strategies F. Pellicciotti et al. https://doi.org/10.1659/MRD-JOURNAL-D-11-00092.1
70. Quantifying differences between reservoir inflows and dam site floods using frequency and risk analysis methods Y. Zhong et al. https://doi.org/10.1007/s00477-017-1401-4
71. Enhancing flood forecasting with the help of processed based calibration J. Cullmann et al. https://doi.org/10.1016/j.pce.2008.03.001
72. Spatiotemporal Dynamics and Mainstreaming Strategies of Ecosystem-Based Adaptation to Urban Climate Change Z. Liu et al. https://doi.org/10.3390/su16083370
73. Prévision des crues éclair V. Estupina Borrell et al. https://doi.org/10.1016/j.crte.2005.06.009
74. The importance of interception and why we should delete the term evapotranspiration from our vocabulary H. Savenije https://doi.org/10.1002/hyp.5563
75. Sources of uncertainty in modeling the glaciohydrological response of a Karakoram watershed to climate change S. Ragettli et al. https://doi.org/10.1002/wrcr.20450
76. Quantifying the Effect of GRACE Terrestrial Water Storage Anomaly in the Simulation of Extreme Flows D. Gupta & C. Dhanya https://doi.org/10.1061/(ASCE)HE.1943-5584.0002072
77. Interdisciplinary Perspective of Surface Water Flow Numerical Analysis M. KIMURA et al. https://doi.org/10.3178/jjshwr.30.307
78. Early warning and flood forecasting for large rivers with the lower Mekong as example E. Plate https://doi.org/10.1016/j.jher.2007.10.002
79. An evaluation of approaches for modelling hydrological processes in high‐elevation, glacierized Andean watersheds S. Ragettli et al. https://doi.org/10.1002/hyp.10055
80. A Comparative Assessment of the Impact of Climate Change and Energy Policies on Alpine Hydropower D. Anghileri et al. https://doi.org/10.1029/2017WR022289
81. Application of developed Grid-GA distributed hydrologic model in semi-humid and semi-arid basin L. Wang et al. https://doi.org/10.1007/s12209-010-0037-y
82. The potential of runoff retention structures as a strategy to control urban gullying in tropical cities E. Landu et al. https://doi.org/10.1016/j.iswcr.2024.11.002
83. Calibration of a physically based, spatially distributed hydrological model in a glacierized basin: On the use of knowledge from glaciometeorological processes to constrain model parameters S. Ragettli & F. Pellicciotti https://doi.org/10.1029/2011WR010559
84. Technical note: Cascade of submerged reservoirs as a rainfall–runoff model J. Kurnatowski https://doi.org/10.5194/hess-21-4649-2017
85. The use of meteorological analogues to account for LAM QPF uncertainty T. Diomede et al. https://doi.org/10.5194/hess-12-141-2008
86. Investigating hydrological model versatility to simulate extreme flood events D. Peredo et al. https://doi.org/10.1080/02626667.2022.2030864
87. Coupling high-resolution precipitation forecasts and discharge predictions to evaluate the impact of spatial uncertainty in numerical weather prediction model outputs T. Diomede et al. https://doi.org/10.1007/s00703-008-0003-6
88. Discharge prediction based on multi-model precipitation forecasts T. Diomede et al. https://doi.org/10.1007/s00703-007-0285-0
89. Modeling distributed metal pollution transport in a mine impacted catchment: Short and long-term effects C. Sui et al. https://doi.org/10.1016/j.scitotenv.2021.151473
90. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al. https://doi.org/10.1002/wat2.1574
91. Data mining based on wavelet and decision tree for rainfall-runoff simulation V. Nourani et al. https://doi.org/10.2166/nh.2018.049
92. Width control on event‐scale deposition and evacuation of sediment in bedrock‐confined channels K. Cook et al. https://doi.org/10.1002/esp.4993
93. Water Accounting in the Po River Basin Applied to Climate Change Scenarios M. Pedro-Monzonís et al. https://doi.org/10.1016/j.proeng.2016.11.051
94. Evaluation of Flood Prediction Capability of the WRF-Hydro Model Based on Multiple Forcing Scenarios M. Sun et al. https://doi.org/10.3390/w12030874
95. A scalable coupled surface–subsurface flow model T. De Maet et al. https://doi.org/10.1016/j.compfluid.2015.03.028
96. A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode S. Sinclair & G. Pegram https://doi.org/10.5194/hess-14-613-2010
97. Comparing Hydrological Postprocessors Including Ensemble Predictions Into Full Predictive Probability Distribution of Streamflow D. Biondi & E. Todini https://doi.org/10.1029/2017WR022432
98. The role of local‐scale heterogeneities in terrestrial ecosystem modeling C. Pappas et al. https://doi.org/10.1002/2014JG002735
99. Evaluating the Applicability of the wflow_sbm Model with Seamless Parameter Maps for Flood Simulation in Small- and Medium-Sized Catchments S. Zang et al. https://doi.org/10.3390/w18030417
100. Spatiotemporal dynamic runoff generation process and distribution characteristics of the saturation-excess and infiltration-excess modes in the semi-humid and semi-arid regions Y. Liu et al. https://doi.org/10.1016/j.ejrh.2025.102589
101. Understanding catchment behavior through stepwise model concept improvement F. Fenicia et al. https://doi.org/10.1029/2006WR005563
102. Generating reference evapotranspiration surfaces from the Hargreaves equation at watershed scale C. Aguilar & M. Polo https://doi.org/10.5194/hess-15-2495-2011
103. A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach E. Todini https://doi.org/10.5194/hess-11-1645-2007
104. Comparison between SAR Soil Moisture Estimates and Hydrological Model Simulations over the Scrivia Test Site E. Santi et al. https://doi.org/10.3390/rs5104961
105. Plathynes : une plateforme de modélisation hydrologique développée pour les besoins de la prévision des crues D. Narbais-Jaureguy et al. https://doi.org/10.1080/27678490.2024.2349548
106. Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa T. Vischel et al. https://doi.org/10.5194/hess-12-751-2008
107. A distributional multivariate approach for assessing performance of climate-hydrology models R. Vezzoli et al. https://doi.org/10.1038/s41598-017-12343-1
108. Flood frequency analysis with PyTOPKAPI model-simulated stream flows from Aweitu river in Jimma town, Ethiopia Z. Rabba https://doi.org/10.1007/s40899-023-00825-2
109. Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. https://doi.org/10.5194/hess-25-4585-2021
110. Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia J. De Waele et al. https://doi.org/10.1016/j.geomorph.2010.03.021
111. A New Runoff Routing Scheme for Xin’anjiang Model and Its Routing Parameters Estimation Based on Geographical Information S. Zang et al. https://doi.org/10.3390/w12123429
112. Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment E. Perra et al. https://doi.org/10.5194/hess-22-4125-2018
113. Regional climate change projections and hydrological impact analysis for a Mediterranean basin in Southern Italy A. Senatore et al. https://doi.org/10.1016/j.jhydrol.2010.12.035
114. Complexity selection of a neural network model for karst flood forecasting: The case of the Lez Basin (southern France) L. Siou et al. https://doi.org/10.1016/j.jhydrol.2011.04.015
115. Investigating Parameter Transferability across Models and Events for a Semiarid Mediterranean Catchment E. Perra et al. https://doi.org/10.3390/w11112261
116. A review of underlying surface parameterization methods in hydrologic models L. Zhao et al. https://doi.org/10.1007/s11442-019-1643-9
117. Hydrologic Impacts of Surface Elevation and Spatial Resolution in Statistical Correction Approaches: Case Study of Flumendosa Basin, Italy E. Perra et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001969
118. Potential and limitations of using soil mapping information to understand landscape hydrology F. Terribile et al. https://doi.org/10.5194/hess-15-3895-2011
119. Data-Driven Approach for Rainfall-Runoff Modelling Using Equilibrium Optimizer Coupled Extreme Learning Machine and Deep Neural Network B. Roy et al. https://doi.org/10.3390/app11136238
120. Parameter identification using optimization techniques in open-channel inverse problems H. Roux & D. Dartus https://doi.org/10.1080/00221680509500125
121. Estimation of component-wise runoff contribution using temperature index approach, in a snow- and glacier-fed transboundary Shyok River catchment of the Upper Indus Basin M. Farooq et al. https://doi.org/10.1007/s12517-023-11583-y
122. Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements W. Ciężkowski et al. https://doi.org/10.3390/w10010041
123. Structural characteristics of oak plantation in Danjiangkou reservoir area L. En et al. https://doi.org/10.1088/1755-1315/371/2/022042
124. Assessment of TOPKAPI-X Applicability for Flood Events Simulation in Two Small Catchments in Saxony F. Janabi et al. https://doi.org/10.3390/hydrology8030109
125. A combined methodology for estimating the potential natural aquifer recharge in an arid environment A. Carletti et al. https://doi.org/10.1080/02626667.2019.1662422
126. Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models E. Zehe et al. https://doi.org/10.5194/hess-10-981-2006
127. Enhancing monthly runoff prediction in arid alpine basins of northwestern China by an EMD-PCA-LSTM hybrid model W. Hu et al. https://doi.org/10.1016/j.ejrh.2025.102748
128. Simulating Flash Floods at Hourly Time-Step Using the SWAT Model L. Boithias et al. https://doi.org/10.3390/w9120929
129. A meteo-hydrological modelling system for the reconstruction of river runoff: the case of the Ofanto river catchment G. Verri et al. https://doi.org/10.5194/nhess-17-1741-2017
130. Hybrid Wavelet-M5 Model Tree for Rainfall-Runoff Modeling V. Nourani et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001777
131. Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale . Apip et al. https://doi.org/10.1002/hyp.8300
132. Modeling rainfall–runoff relationship using multivariate GARCH model R. Modarres & T. Ouarda https://doi.org/10.1016/j.jhydrol.2013.06.044
133. Calibration of Limited-Area Ensemble Precipitation Forecasts for Hydrological Predictions T. Diomede et al. https://doi.org/10.1175/MWR-D-13-00071.1
134. Application of WRF-Hydro modeling system in Chenhe Basin and comparison with Xin'anjiang model S. Mingkun et al. https://doi.org/10.18307/2020.0324
135. On the effects of small scale space–time variability of rainfall on basin flood response A. Paschalis et al. https://doi.org/10.1016/j.jhydrol.2014.04.014
136. Artificial intelligence for geoscience: Progress, challenges, and perspectives T. Zhao et al. https://doi.org/10.1016/j.xinn.2024.100691
137. A novel semi-numerical infiltration model combining conceptual and physically based approaches F. Stanić et al. https://doi.org/10.1016/j.jhydrol.2025.132664