81 citations as recorded by crossref.

1. Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale . Apip et al. 10.1002/hyp.8300
2. Spatial analysis of clay content in soils using neurocomputing and pedological support: a case study of Valle Telesina (South Italy) G. Langella et al. 10.1007/s12665-016-6163-7
3. Using Markov Chain Monte Carlo to quantify parameter uncertainty and its effect on predictions of a groundwater flow model A. Hassan et al. 10.1016/j.envsoft.2008.11.002
4. Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models E. Zehe et al. 10.5194/hess-10-981-2006
5. A long Short-Term memory cyclic model with mutual information for hydrology forecasting: A Case study in the xixian basin N. Lv et al. 10.1016/j.advwatres.2020.103622
6. 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. 10.3390/cli7110127
7. Analysis of Impact Factors for Flood Early Warning, a Case Study in Wangjiaba Basin of Huai River Y. Hu et al. 10.1088/1755-1315/668/1/012040
8. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al. 10.1080/02626667.2021.1873346
9. Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model X. Jin et al. 10.1016/j.jhydrol.2009.12.028
10. Evaluation of the subjective factors of the GLUE method and comparison with the formal Bayesian method in uncertainty assessment of hydrological models L. Li et al. 10.1016/j.jhydrol.2010.06.044
11. The simulation of phenological development in dynamic crop model: The Bayesian comparison of different methods A. Ceglar et al. 10.1016/j.agrformet.2010.09.007
12. Geospatial-Based Analytical Hierarchy Process (AHP) and Weighted Product Model (WPM) Techniques for Mapping and Assessing Flood Susceptibility in the Wadi Hanifah Drainage Basin, Riyadh Region, Saudi Arabia A. AlAli et al. 10.3390/w15101943
13. 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 10.1029/2011WR010559
14. Hydrologic Impacts of Surface Elevation and Spatial Resolution in Statistical Correction Approaches: Case Study of Flumendosa Basin, Italy E. Perra et al. 10.1061/(ASCE)HE.1943-5584.0001969
15. On the Operational Flood Forecasting Practices Using Low-Quality Data Input of a Distributed Hydrological Model B. Li et al. 10.3390/su12198268
16. Flood Prediction in Ungauged Basins by Physical-Based TOPKAPI Model X. Kong et al. 10.1155/2019/4795853
17. Mapping flood susceptibility in mountainous areas on a national scale in China G. Zhao et al. 10.1016/j.scitotenv.2017.10.037
18. Application of a Distributed Hydrologic Model to Flood Forecasting in Catchments of Different Conditions Z. Liu et al. 10.1061/(ASCE)1084-0699(2008)13:5(378)
19. Sediment transport modelling in a distributed physically based hydrological catchment model M. Konz et al. 10.5194/hess-15-2821-2011
20. The Development Trend and Research Frontiers of Distributed Hydrological Models—Visual Bibliometric Analysis Based on Citespace F. Qin et al. 10.3390/w13020174
21. A Comparison of Bayesian Methods for Uncertainty Analysis in Hydraulic and Hydrodynamic Modeling R. Camacho et al. 10.1111/1752-1688.12319
22. Daily flow simulation in Thailand Part I: Testing a distributed hydrological model with seamless parameter maps based on global data C. Wannasin et al. 10.1016/j.ejrh.2021.100794
23. On time-horizons based post-processing of flow forecasts P. Reggiani et al. 10.3389/frwa.2024.1359750
24. Flood frequency analysis with PyTOPKAPI model-simulated stream flows from Aweitu river in Jimma town, Ethiopia Z. Rabba 10.1007/s40899-023-00825-2
25. Regional climate change projections and hydrological impact analysis for a Mediterranean basin in Southern Italy A. Senatore et al. 10.1016/j.jhydrol.2010.12.035
26. Assessment of flood forecasting lead time based on generalized likelihood uncertainty estimation approach A. Heidari et al. 10.1007/s00477-006-0032-y
27. Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins Y. Sheng et al. 10.1016/j.ejrh.2024.102104
28. Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data F. Silvestro et al. 10.5194/hess-19-1727-2015
29. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. 10.5194/gmd-17-3199-2024
30. Real-time probabilistic forecasting of flood stages S. Chen & P. Yu 10.1016/j.jhydrol.2007.04.008
31. Impact of precipitation forecast uncertainties and initial soil moisture conditions on a probabilistic flood forecasting chain F. Silvestro & N. Rebora 10.1016/j.jhydrol.2014.07.042
32. Nierji reservoir flood forecasting based on a Data-Based Mechanistic methodology G. Wei et al. 10.1016/j.jhydrol.2018.10.026
33. The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model D. Finger et al. 10.1029/2010WR009824
34. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology P. Mantovan & E. Todini 10.1016/j.jhydrol.2006.04.046
35. A service-oriented architecture for ensemble flood forecast from numerical weather prediction H. Shi et al. 10.1016/j.jhydrol.2015.05.056
36. Modeling distributed metal pollution transport in a mine impacted catchment: Short and long-term effects C. Sui et al. 10.1016/j.scitotenv.2021.151473
37. Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping S. Seydi et al. 10.3390/rs15010192
38. A model conditional processor to assess predictive uncertainty in flood forecasting E. Todini 10.1080/15715124.2008.9635342
39. A sensitivity assessment of the TOPKAPI model with an added infiltration module S. Sinclair & G. Pegram 10.1016/j.jhydrol.2012.11.061
40. Application of a developed distributed hydrological model based on the mixed runoff generation model and 2D kinematic wave flow routing model for better flood forecasting H. Bao et al. 10.1002/asl.754
41. Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment E. Perra et al. 10.5194/hess-22-4125-2018
42. Comment on: ‘On undermining the science?’ by Keith Beven E. Todini & P. Mantovan 10.1002/hyp.6670
43. A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds Y. Liu et al. 10.1016/j.jhydrol.2020.125440
44. CRML: A Convolution Regression Model With Machine Learning for Hydrology Forecasting C. Chen et al. 10.1109/ACCESS.2019.2941234
45. Preserving the dominant physical processes in a lumped hydrological model M. Martina et al. 10.1016/j.jhydrol.2010.12.039
46. Current awareness 10.1002/hyp.6195
47. The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors L. Li & C. Xu 10.1007/s00477-013-0767-1
48. Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China Y. Man et al. 10.1016/j.eng.2021.12.022
49. Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function L. Foglia et al. 10.1029/2008WR007255
50. Comparison between dynamic and static sensitivity analysis approaches for impact assessment of different potential evapotranspiration methods on hydrological models performance R. Nonki et al. 10.1175/JHM-D-20-0192.1
51. Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
52. Uncertainty assessment via Bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system P. Reggiani et al. 10.1029/2007WR006758
53. Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions X. Ming et al. 10.1029/2019WR025583
54. Investigating Parameter Transferability across Models and Events for a Semiarid Mediterranean Catchment E. Perra et al. 10.3390/w11112261
55. Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia J. De Waele et al. 10.1016/j.geomorph.2010.03.021
56. Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model F. Silvestro et al. 10.5194/hess-17-39-2013
57. Uncertainty assessment of a stochastic groundwater flow model using GLUE analysis A. Hassan et al. 10.1016/j.jhydrol.2008.08.017
58. Large spatial variations in the distributions of and factors affecting forest water retention capacity in China X. Wu et al. 10.1016/j.ecolind.2020.106152
59. Impacts of Data Quantity and Quality on Model Calibration: Implications for Model Parameterization in Data-Scarce Catchments Y. Huang & A. Bardossy 10.3390/w12092352
60. Coupling the Xinanjiang model to a kinematic flow model based on digital drainage networks for flood forecasting J. Liu et al. 10.1002/hyp.7255
61. Potential and limitations of using soil mapping information to understand landscape hydrology F. Terribile et al. 10.5194/hess-15-3895-2011
62. Estimation of Critical Rainfall for Flood Disasters in the Qinghai-Tibet Plateau M. Weidong et al. 10.5814/j.issn.1674-764x.2021.05.003
63. Uncertainty estimates by Bayesian method with likelihood of AR (1) plus Normal model and AR (1) plus Multi-Normal model in different time-scales hydrological models L. Li et al. 10.1016/j.jhydrol.2011.05.052
64. Development and comparison in uncertainty assessment based Bayesian modularization method in hydrological modeling L. Li et al. 10.1016/j.jhydrol.2013.02.002
65. Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland L. Foglia et al. 10.1029/2011WR011779
66. Assessment of TOPKAPI-X Applicability for Flood Events Simulation in Two Small Catchments in Saxony F. Janabi et al. 10.3390/hydrology8030109
67. An edge intelligence empowered flooding process prediction using Internet of things in smart city C. Chen et al. 10.1016/j.jpdc.2022.03.010
68. Study on a Hybrid Hydrological Forecasting Model SCE-GUH by Coupling SCE-UA Optimization Algorithm and General Unit Hydrograph Y. Xu et al. 10.3390/w15152783
69. A history of TOPMODEL K. Beven et al. 10.5194/hess-25-527-2021
70. Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa T. Vischel et al. 10.5194/hess-12-751-2008
71. Challenges and Uncertainties in Hydrological Modeling of Remote Hindu Kush–Karakoram–Himalayan (HKH) Basins: Suggestions for Calibration Strategies F. Pellicciotti et al. 10.1659/MRD-JOURNAL-D-11-00092.1
72. Improving real-time operational streamflow simulations using discharge data to update state variables of a distributed hydrological model F. Silvestro et al. 10.2166/nh.2021.162
73. Practical Use of Computationally Frugal Model Analysis Methods M. Hill et al. 10.1111/gwat.12330
74. Numerical Solution to Reservoir Flood Routing X. Li et al. 10.1061/(ASCE)1084-0699(2009)14:2(197)
75. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al. 10.1175/2009JHM1144.1
76. Verification of short-term runoff forecasts for a small Philippine basin (Marikina) D. Kneis et al. 10.1080/02626667.2016.1183773
77. Application of a Simple Raster-Based Hydrological Model for Streamflow Prediction in a Humid Catchment with Polder Systems G. Zhao et al. 10.1007/s11269-010-9719-4
78. Applicability assessment of the CASCade Two Dimensional SEDiment (CASC2D‐SED) distributed hydrological model for flood forecasting across four typical medium and small watersheds in China L. Chao et al. 10.1111/jfr3.12518
79. Early warning index of flash flood disaster: a case study of Shuyuan watershed in Qufu City X. Teng et al. 10.2166/wst.2023.016
80. Research and application of the parallel computing method for the grid-based Xin'anjiang model Q. Liu et al. 10.2166/nh.2023.002
81. Simulation and Evaluation of Runoff in Tributary of Weihe River Basin in Western China Y. Liu et al. 10.3390/w16020221