74 citations as recorded by crossref.

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3. Transmission losses during two flood events in the Platte River, south-central Nebraska Y. Huang et al. 10.1016/j.jhydrol.2014.11.046
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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 10.3390/w15010008
9. Estimation of Flood Water Level for Small to Medium Streams K. Koo & K. Jun 10.9798/KOSHAM.2014.14.3.319
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15. Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting M. Mazzoleni et al. 10.1061/(ASCE)HE.1943-5584.0001656
16. An Application of Modified Muskingum-Cunge Routing Method with Water Conservation Condition to a Distributed Runoff Model K. MASUTANI & J. MAGOME 10.3178/jjshwr.22.294
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21. On the validity range and conservation properties of diffusion analogy and variable parameter Muskingum P. Reggiani & E. Todini 10.1016/j.jhydrol.2018.05.053
22. Unified Hydrological Flow Routing for Variational Data Assimilation and Model Predictive Control R. Montero et al. 10.1016/j.proeng.2016.07.488
23. The water-energy-food-ecosystem nexus in the Danube River Basin: Exploring scenarios and implications of maize irrigation E. Probst et al. 10.1016/j.scitotenv.2023.169405
24. Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field W. Wang et al. 10.2166/hydro.2021.135
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26. Case Study: Improving Real-Time Stage Forecasting Muskingum Model by Incorporating the Rating Curve Model S. Barbetta et al. 10.1061/(ASCE)HE.1943-5584.0000345
27. Addressing Spatial Heterogeneity in the Discrete Generalized Nash Model for Flood Routing B. Yan et al. 10.3390/w13213133
28. Flash Flood Simulation for Hilly Reservoirs Considering Upstream Reservoirs—A Case Study of Moushan Reservoir H. Zhao et al. 10.3390/su16125001
29. Volume-Conservative Nonlinear Flood Routing R. Price 10.1061/(ASCE)HY.1943-7900.0000088
30. Application of the Muskingum-Cunge routing method with variable parameters in a gauged creek reach H. ÇAKIR & M. KESKİN 10.35860/iarej.813766
31. Evaluation of Regional-Scale River Depth Simulations Using Various Routing Schemes within a Hydrometeorological Modeling Framework for the Preparation of the SWOT Mission V. Häfliger et al. 10.1175/JHM-D-14-0107.1
32. A fully mass conservative variable parameter McCarthy–Muskingum method: Theory and verification M. Perumal & R. Price 10.1016/j.jhydrol.2013.08.023
33. Validation of a full hydrodynamic model for large‐scale hydrologic modelling in the Amazon R. Paiva et al. 10.1002/hyp.8425
34. 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
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36. Linear diffusion-wave channel routing using a discrete Hayami convolution method L. Wang et al. 10.1016/j.jhydrol.2013.11.046
37. Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al. 10.1175/JHM-D-18-0040.1
38. Evaluation of a physically based quasi-linear and a conceptually based nonlinear Muskingum methods M. Perumal et al. 10.1016/j.jhydrol.2017.01.025
39. On mass and momentum conservation in the variable-parameter Muskingum method P. Reggiani et al. 10.1016/j.jhydrol.2016.10.030
40. Rating Curve Development at Ungauged River Sites using Variable Parameter Muskingum Discharge Routing Method B. Sahoo et al. 10.1007/s11269-014-0709-9
41. Variable parameter McCarthy–Muskingum flow transport model for compound channels accounting for distributed non-uniform lateral flow R. Swain & B. Sahoo 10.1016/j.jhydrol.2015.10.030
42. Informing a hydrological model of the Ogooué with multi-mission remote sensing data C. Kittel et al. 10.5194/hess-22-1453-2018
43. Analysis of coupling errors in a physically-based integrated surface water–groundwater model C. Dagès et al. 10.1016/j.advwatres.2012.07.019
44. A New Runoff Routing Scheme for Xin’anjiang Model and Its Routing Parameters Estimation Based on Geographical Information S. Zang et al. 10.3390/w12123429
45. River Network Routing on the NHDPlus Dataset C. David et al. 10.1175/2011JHM1345.1
46. Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events P. Lin et al. 10.1175/JHM-D-18-0038.1
47. Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al. 10.5194/hess-21-3597-2017
48. A conservative flow routing formulation: Déjà vu and the variable-parameter Muskingum method revisited P. Reggiani et al. 10.1016/j.jhydrol.2014.08.057
49. 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 10.1080/02626667.2010.491261
50. Forecasting discharges at the downstream end of a river reach through two simple Muskingum based procedures M. Franchini et al. 10.1016/j.jhydrol.2011.01.009
51. Variable parameter McCarthy–Muskingum routing method considering lateral flow B. Yadav et al. 10.1016/j.jhydrol.2015.01.068
52. Development and Application of Advanced Muskingum Flood Routing Model Considering Continuous Flow E. Lee et al. 10.3390/w10060760
53. Comment on “Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?” by Mazzoleni et al. (2017) D. Viero 10.5194/hess-22-171-2018
54. Total variation diminishing and mass conservative implementation of hydrological flow routing D. Schwanenberg & R. Alvarado Montero 10.1016/j.jhydrol.2016.05.007
55. Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review W. Wang et al. 10.1007/s11269-023-03493-1
56. Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River V. Atashi et al. 10.1038/s41598-023-48895-8
57. The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km S. Thober et al. 10.5194/gmd-12-2501-2019
58. Multi-objective double layer water optimal allocation and scheduling framework combing the integrated surface water – groundwater model Z. Li et al. 10.1016/j.watres.2024.122141
59. Accounting for the uncertain effects of hydraulic interactions in optimising embankments heights: Proof of principle for the IJssel River A. Ciullo et al. 10.1111/jfr3.12532
60. 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 10.1016/j.ejrh.2022.101023
61. Assessment and review of the hydraulics of storage flood routing 70 years after the presentation of the Muskingum method A. KOUSSIS 10.1623/hysj.54.1.43
62. A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
63. Water Balance Calculation Based on Hydrodynamics in Reservoir Operation S. Zhu et al. 10.3390/w14132001
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65. 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. 10.5194/hess-22-391-2018
66. Hydrological simulation of flood transformations in the upper Danube River: Case study of large flood events V. Mitková et al. 10.1515/johh-2016-0050
67. Ecological Sustainability Assessment of Water Distribution for the Maintenance of Ecosystems, their Services and Biodiversity A. Schlattmann et al. 10.1007/s00267-022-01662-3
68. Flood inference simulation using surrogate modelling for the Yellow River multiple reservoir system M. Castro-Gama et al. 10.1016/j.envsoft.2014.02.002
69. The German drought monitor M. Zink et al. 10.1088/1748-9326/11/7/074002
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71. 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. 10.1016/j.jhydrol.2021.126867
72. Susceptibility of Water Resources and Hydropower Production to Climate Change in the Tropics: The Case of Lake Malawi and Shire River Basins, SE Africa L. Mtilatila et al. 10.3390/hydrology7030054
73. Climate change impact assessment under data scarcity by hydrological and hydrodynamic modeling in Izmit Bay/Turkey G. ENGİN et al. 10.35208/ert.777323
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