85 citations as recorded by crossref.

1. Spatial lumping of a distributed rainfall‐sediment‐runoff model and its effective lumping scale . Apip et al.
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.
3. Using Markov Chain Monte Carlo to quantify parameter uncertainty and its effect on predictions of a groundwater flow model A. Hassan et al.
4. Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models E. Zehe et al.
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.
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.
7. Analysis of Impact Factors for Flood Early Warning, a Case Study in Wangjiaba Basin of Huai River Y. Hu et al.
8. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al.
9. Parameter and modeling uncertainty simulated by GLUE and a formal Bayesian method for a conceptual hydrological model X. Jin et al.
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.
11. The simulation of phenological development in dynamic crop model: The Bayesian comparison of different methods A. Ceglar et al.
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.
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
14. Hydrologic Impacts of Surface Elevation and Spatial Resolution in Statistical Correction Approaches: Case Study of Flumendosa Basin, Italy E. Perra et al.
15. On the Operational Flood Forecasting Practices Using Low-Quality Data Input of a Distributed Hydrological Model B. Li et al.
16. Flood Prediction in Ungauged Basins by Physical-Based TOPKAPI Model X. Kong et al.
17. Mapping flood susceptibility in mountainous areas on a national scale in China G. Zhao et al.
18. Application of a Distributed Hydrologic Model to Flood Forecasting in Catchments of Different Conditions Z. Liu et al.
19. Sediment transport modelling in a distributed physically based hydrological catchment model M. Konz et al.
20. The Development Trend and Research Frontiers of Distributed Hydrological Models—Visual Bibliometric Analysis Based on Citespace F. Qin et al.
21. A Comparison of Bayesian Methods for Uncertainty Analysis in Hydraulic and Hydrodynamic Modeling R. Camacho et al.
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.
23. On time-horizons based post-processing of flow forecasts P. Reggiani et al.
24. Flood frequency analysis with PyTOPKAPI model-simulated stream flows from Aweitu river in Jimma town, Ethiopia Z. Rabba
25. Regional climate change projections and hydrological impact analysis for a Mediterranean basin in Southern Italy A. Senatore et al.
26. Assessment of flood forecasting lead time based on generalized likelihood uncertainty estimation approach A. Heidari et al.
27. Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins Y. Sheng et al.
28. Compound effects of river routing and local rainfall-runoff for inflow simulation of a large reservoir S. Zang et al.
29. Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data F. Silvestro et al.
30. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al.
31. Real-time probabilistic forecasting of flood stages S. Chen & P. Yu
32. Impact of precipitation forecast uncertainties and initial soil moisture conditions on a probabilistic flood forecasting chain F. Silvestro & N. Rebora
33. Nierji reservoir flood forecasting based on a Data-Based Mechanistic methodology G. Wei et al.
34. 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.
35. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology P. Mantovan & E. Todini
36. A service-oriented architecture for ensemble flood forecast from numerical weather prediction H. Shi et al.
37. Modeling distributed metal pollution transport in a mine impacted catchment: Short and long-term effects C. Sui et al.
38. Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping S. Seydi et al.
39. A model conditional processor to assess predictive uncertainty in flood forecasting E. Todini
40. A sensitivity assessment of the TOPKAPI model with an added infiltration module S. Sinclair & G. Pegram
41. 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.
42. Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment E. Perra et al.
43. Comment on: ‘On undermining the science?’ by Keith Beven E. Todini & P. Mantovan
44. 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.
45. CRML: A Convolution Regression Model With Machine Learning for Hydrology Forecasting C. Chen et al.
46. Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall: a case study of the Gilgel Ghibe catchment in Ethiopia Z. Rabba
47. Preserving the dominant physical processes in a lumped hydrological model M. Martina et al.
48. Current awareness
49. The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors L. Li & C. Xu
50. Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China Y. Man et al.
51. Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function L. Foglia et al.
52. Comparison between dynamic and static sensitivity analysis approaches for impact assessment of different potential evapotranspiration methods on hydrological models performance R. Nonki et al.
53. 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.
54. Uncertainty assessment via Bayesian revision of ensemble streamflow predictions in the operational river Rhine forecasting system P. Reggiani et al.
55. Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions X. Ming et al.
56. Investigating Parameter Transferability across Models and Events for a Semiarid Mediterranean Catchment E. Perra et al.
57. Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia J. De Waele et al.
58. Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model F. Silvestro et al.
59. Uncertainty assessment of a stochastic groundwater flow model using GLUE analysis A. Hassan et al.
60. Large spatial variations in the distributions of and factors affecting forest water retention capacity in China X. Wu et al.
61. Impacts of Data Quantity and Quality on Model Calibration: Implications for Model Parameterization in Data-Scarce Catchments Y. Huang & A. Bardossy
62. Coupling the Xinanjiang model to a kinematic flow model based on digital drainage networks for flood forecasting J. Liu et al.
63. Potential and limitations of using soil mapping information to understand landscape hydrology F. Terribile et al.
64. Estimation of Critical Rainfall for Flood Disasters in the Qinghai-Tibet Plateau M. Weidong et al.
65. 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.
66. Development and comparison in uncertainty assessment based Bayesian modularization method in hydrological modeling L. Li et al.
67. Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland L. Foglia et al.
68. Assessment of TOPKAPI-X Applicability for Flood Events Simulation in Two Small Catchments in Saxony F. Janabi et al.
69. An edge intelligence empowered flooding process prediction using Internet of things in smart city C. Chen et al.
70. Study on a Hybrid Hydrological Forecasting Model SCE-GUH by Coupling SCE-UA Optimization Algorithm and General Unit Hydrograph Y. Xu et al.
71. A history of TOPMODEL K. Beven et al.
72. Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa T. Vischel et al.
73. Challenges and Uncertainties in Hydrological Modeling of Remote Hindu Kush–Karakoram–Himalayan (HKH) Basins: Suggestions for Calibration Strategies F. Pellicciotti et al.
74. Improving real-time operational streamflow simulations using discharge data to update state variables of a distributed hydrological model F. Silvestro et al.
75. Practical Use of Computationally Frugal Model Analysis Methods M. Hill et al.
76. Numerical Solution to Reservoir Flood Routing X. Li et al.
77. Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting G. Mascaro et al.
78. Verification of short-term runoff forecasts for a small Philippine basin (Marikina) D. Kneis et al.
79. Application of a Simple Raster-Based Hydrological Model for Streamflow Prediction in a Humid Catchment with Polder Systems G. Zhao et al.
80. 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.
81. Early warning index of flash flood disaster: a case study of Shuyuan watershed in Qufu City X. Teng et al.
82. 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.
83. Research and application of the parallel computing method for the grid-based Xin'anjiang model Q. Liu et al.
84. 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.
85. Simulation and Evaluation of Runoff in Tributary of Weihe River Basin in Western China Y. Liu et al.