44 citations as recorded by crossref.

1. A new cost-performance grid to compare different flood modelling approaches R. Hdeib et al.
2. Modeling a network of turloughs in lowland karst L. Gill et al.
3. Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling V. Manikanta & N. Umamahesh
4. Retour d'expérience sur la crue du 12 septembre 2015 à Lodève (Hérault, France) : influence du karst sur les débits de pointe de crue P. Brunet & C. Bouvier
5. A vulnerable soil environment study in karst areas: a bibliometric analysis T. Yan & J. Xue
6. The Use of H-SAF Soil Moisture Products for Operational Hydrology: Flood Modelling over Italy C. Massari et al.
7. Streamflow simulation using the event-based SCS-MS/LR model in the Hitiaa catchment, French Polynesia G. Tanguy et al.
8. Characterization of flash flood events by their Event-specific GIUH (EGIUH) in taking into account both the spatial variability of rainfall and channel topology H. Andrieu et al.
9. Using globally available soil moisture indicators for flood modelling in Mediterranean catchments C. Massari et al.
10. Effects of runoff generation methods and simulation time steps on flood simulation: a case study in Liulin experimental watershed J. Li et al.
11. Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe? C. Massari et al.
12. Multiple Temporal Scales Assessment in the Hydrological Response of Small Mediterranean-Climate Catchments J. Fortesa et al.
13. A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation S. Verma et al.
14. Combining hydraulic model, hydrogeomorphological observations and chemical analyses of surface waters to improve knowledge on karst flash floods genesis F. Raynaud et al.
15. Implications of event-based loss model structure on simulating large floods D. O'Shea et al.
16. Modelling hydrological losses for varying rainfall and moisture conditions in South Australian catchments S. Gamage et al.
17. Development and testing of a rainfall-runoff model for flood simulation in dry mountain catchments: A case study for the Dez River Basin A. Samadi et al.
18. Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture K. Bahramian et al.
19. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al.
20. Operational tools to help stakeholders to protect and alert municipalities facing uncertainties and changes in karst flash floods V. Borrell Estupina et al.
21. Comparison of SCS and Green-Ampt Distributed Models for Flood Modelling in a Small Cultivated Catchment in Senegal C. Bouvier et al.
22. Estimation of antecedent wetness conditions for flood modelling in northern Morocco Y. Tramblay et al.
23. Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model L. Chen et al.
24. Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain C. Hoyos et al.
25. Benefits and limitations of data assimilation for discharge forecasting using an event-based rainfall–runoff model M. Coustau et al.
26. Sub-daily precipitation-streamflow modelling of the karst-dominated basin using an improved grid-based distributed Xinanjiang hydrological model W. Yang et al.
27. The added value of spatially distributed meteorological data for simulating hydrological processes in a small Mediterranean catchment A. Gara et al.
28. Neural network modeling and geochemical water analyses to understand and forecast karst and non-karst part of flash floods (case study on the <i>Lez</i> river, Southern France) T. Darras et al.
29. Hydrological response characteristics of Mediterranean catchments at different time scales: a meta-analysis M. Merheb et al.
30. Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez catchment in Southern France E. Harader et al.
31. Potential of soil moisture observations in flood modelling: Estimating initial conditions and correcting rainfall C. Massari et al.
32. Flood modelling using the distributed event-based SCS-LR model in the Mediterranean Real Collobrier catchment S. Nguyen & C. Bouvier
33. Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez basin (southern France) T. Darras et al.
34. Network representation in hydrological modelling on urban catchments in data-scarce contexts: A case study on the Oued Fez catchment (Morocco) I. Bouizrou et al.
35. Robust Initial Wetness Condition Framework of an Event-Based Rainfall–Runoff Model Using Remotely Sensed Soil Moisture W. Sunwoo & M. Choi
36. Comparison of modeling approaches for flood forecasting in the High Atlas Mountains of Morocco E. El Khalki et al.
37. Performance and complementarity of two systemic models (reservoir and neural networks) used to simulate spring discharge and piezometry for a karst aquifer L. Kong-A-Siou et al.
38. Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China G. Gao et al.
39. One-dimensional deep learning driven geospatial analysis for flash flood susceptibility mapping: a case study in North Central Vietnam P. Hoa et al.
40. Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale D. Yu et al.
41. The potential impact of climate variability on siltation of Andean reservoirs M. Rosas et al.
42. Evaluating the Spatial and Temporal Transferability of Model Parameters of a Distributed Soil Conservation Service–Soil Moisture Antecedent–Simple Lag and Route Model for South Mediterranean Catchments A. Gara et al.
43. Multi-scale hydrometeorological observation and modelling for flash flood understanding I. Braud et al.
44. Flood design recipes vs. reality: can predictions for ungauged basins be trusted? A. Efstratiadis et al.