72 citations as recorded by crossref.

1. Folgen des Globalen Wandels für das Grundwasser in Süddeutschland – Teil 1: Naturräumliche Aspekte R. Barthel et al.
2. The potential of coordinated reservoir operation for flood mitigation in large basins – A case study on the Bavarian Danube using coupled hydrological–hydrodynamic models S. Seibert et al.
3. Transmission losses during two flood events in the Platte River, south-central Nebraska Y. Huang et al.
4. Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al.
5. Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach R. Paiva et al.
6. Flood routing methods J. Fenton
7. Research on Parameter Regionalization of Distributed Hydrological Model Based on Machine Learning W. Wang et al.
8. Climate Change Impacts on Water Resources in the Danube River Basin: A Hydrological Modelling Study Using EURO-CORDEX Climate Scenarios E. Probst & W. Mauser
9. A physically based neural network for flood routing: The Muskingum-Recurrent neural network Z. Li et al.
10. Estimation of Flood Water Level for Small to Medium Streams K. Koo & K. Jun
11. Comparing Five Kinematic Wave Schemes for Open-Channel Routing for Wide-Tooth-Comb-Wave Hydrographs C. Luo
12. An optimized routing model for flood forecasting R. Price
13. Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm H. Karahan et al.
14. How much can we gain with increasing model complexity with the same model concepts? H. Li et al.
15. A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System B. Jia et al.
16. Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al.
17. An Application of Modified Muskingum-Cunge Routing Method with Water Conservation Condition to a Distributed Runoff Model K. MASUTANI & J. MAGOME
18. An embedded VPMM-AD model for riverine transient flow and non-reactive contaminant transports R. Swain et al.
19. Dimensionally Consistent Nonlinear Muskingum Equation D. Gąsiorowski & R. Szymkiewicz
20. Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme N. Montes et al.
21. The matrix-vector differential-form Muskingum method for river network routing J. Zhao et al.
22. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al.
23. On the validity range and conservation properties of diffusion analogy and variable parameter Muskingum P. Reggiani & E. Todini
24. Some Remarks About Forward and Inverse Modelling in Hydrology, Within a General Conceptual Framework M. Giudici
25. Unified Hydrological Flow Routing for Variational Data Assimilation and Model Predictive Control R. Montero et al.
26. Key point of desert riparian forest development in the arid area: The response of phreatic water table depth to ecological water supply Z. Li et al.
27. The water-energy-food-ecosystem nexus in the Danube River Basin: Exploring scenarios and implications of maize irrigation E. Probst et al.
28. Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field W. Wang et al.
29. Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al.
30. Coupled hydrologic and hydraulic modeling for a lowland river basin in China J. Zhang et al.
31. Case Study: Improving Real-Time Stage Forecasting Muskingum Model by Incorporating the Rating Curve Model S. Barbetta et al.
32. Addressing Spatial Heterogeneity in the Discrete Generalized Nash Model for Flood Routing B. Yan et al.
33. Flash Flood Simulation for Hilly Reservoirs Considering Upstream Reservoirs—A Case Study of Moushan Reservoir H. Zhao et al.
34. Volume-Conservative Nonlinear Flood Routing R. Price
35. Application of the Muskingum-Cunge routing method with variable parameters in a gauged creek reach H. ÇAKIR & M. KESKİN
36. A fully mass conservative variable parameter McCarthy–Muskingum method: Theory and verification M. Perumal & R. Price
37. Validation of a full hydrodynamic model for large‐scale hydrologic modelling in the Amazon R. Paiva et al.
38. 100 Years of Progress in Hydrology C. Peters-Lidard et al.
39. Discussion of “Assessment and review of the hydraulics of storage flood routing 70 years after the presentation of the Muskingum method” M. Perumal
40. Linear diffusion-wave channel routing using a discrete Hayami convolution method L. Wang et al.
41. Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al.
42. Evaluation of a physically based quasi-linear and a conceptually based nonlinear Muskingum methods M. Perumal et al.
43. On mass and momentum conservation in the variable-parameter Muskingum method P. Reggiani et al.
44. Rating Curve Development at Ungauged River Sites using Variable Parameter Muskingum Discharge Routing Method B. Sahoo et al.
45. Variable parameter McCarthy–Muskingum flow transport model for compound channels accounting for distributed non-uniform lateral flow R. Swain & B. Sahoo
46. Informing a hydrological model of the Ogooué with multi-mission remote sensing data C. Kittel et al.
47. Analysis of coupling errors in a physically-based integrated surface water–groundwater model C. Dagès et al.
48. A New Runoff Routing Scheme for Xin’anjiang Model and Its Routing Parameters Estimation Based on Geographical Information S. Zang et al.
49. Study on flood forecasting and reservoir joint operation-a case study of the ‘2024.6.19' Flood in Guilin City Q. Ma et al.
50. Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events P. Lin et al.
51. Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al.
52. A conservative flow routing formulation: Déjà vu and the variable-parameter Muskingum method revisited P. Reggiani et al.
53. Reply to the Discussion of “Assessment and review of the hydraulics of storage flood routing 70 years after the presentation of the Muskingum method” by M. Perumal A. Koussis
54. Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures M. Franchini et al.
55. Variable parameter McCarthy–Muskingum routing method considering lateral flow B. Yadav et al.
56. Development and Application of Advanced Muskingum Flood Routing Model Considering Continuous Flow E. Lee et al.
57. Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero
58. Total variation diminishing and mass conservative implementation of hydrological flow routing D. Schwanenberg & R. Alvarado Montero
59. Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review W. Wang et al.
60. Two-dimensional differential form of distributed Xinanjiang model J. Zhao et al.
61. Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River V. Atashi et al.
62. The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km S. Thober et al.
63. Multi-objective double layer water optimal allocation and scheduling framework combing the integrated surface water – groundwater model Z. Li et al.
64. Accounting for the uncertain effects of hydraulic interactions in optimising embankments heights: Proof of principle for the IJssel River A. Ciullo et al.
65. Evaluation of ERA5 and WFDE5 forcing data for hydrological modelling and the impact of bias correction with regional climatologies: A case study in the Danube River Basin E. Probst & W. Mauser
66. Assessment and review of the hydraulics of storage flood routing 70 years after the presentation of the Muskingum method A. KOUSSIS
67. A systematic review of Muskingum flood routing techniques A. Salvati et al.
68. Water Balance Calculation Based on Hydrodynamics in Reservoir Operation S. Zhu et al.
69. Rigorous evaluation of a soil heat transfer model for mesoscale climate change impact studies M. Muerth & W. Mauser
70. Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: a modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) M. Mazzoleni et al.
71. Hydrological simulation of flood transformations in the upper Danube River: Case study of large flood events V. Mitková et al.
72. Ecological Sustainability Assessment of Water Distribution for the Maintenance of Ecosystems, their Services and Biodiversity A. Schlattmann et al.