73 citations as recorded by crossref.

1. Folgen des Globalen Wandels für das Grundwasser in Süddeutschland – Teil 1: Naturräumliche Aspekte R. Barthel et al. 10.1007/s00767-011-0179-4
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. 10.1016/j.jhydrol.2014.06.048
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
4. Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
5. Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach R. Paiva et al. 10.1016/j.jhydrol.2011.06.007
6. Flood routing methods J. Fenton 10.1016/j.jhydrol.2019.01.006
7. Research on Parameter Regionalization of Distributed Hydrological Model Based on Machine Learning W. Wang et al. 10.3390/w15030518
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
10. Comparing Five Kinematic Wave Schemes for Open-Channel Routing for Wide-Tooth-Comb-Wave Hydrographs C. Luo 10.1061/(ASCE)HE.1943-5584.0002079
11. An optimized routing model for flood forecasting R. Price 10.1029/2008WR007103
12. Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm H. Karahan et al. 10.1061/(ASCE)HE.1943-5584.0000608
13. How much can we gain with increasing model complexity with the same model concepts? H. Li et al. 10.1016/j.jhydrol.2015.05.044
14. A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System B. Jia et al. 10.1007/s11269-016-1356-0
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
17. An embedded VPMM-AD model for riverine transient flow and non-reactive contaminant transports R. Swain et al. 10.1016/j.jhydrol.2018.06.025
18. Dimensionally Consistent Nonlinear Muskingum Equation D. Gąsiorowski & R. Szymkiewicz 10.1061/(ASCE)HE.1943-5584.0001691
19. Real Time Flow Forecasting in a Mountain River Catchment Using Conceptual Models with Simple Error Correction Scheme N. Montes et al. 10.3390/w12051484
20. Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
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
25. Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
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. Volume-Conservative Nonlinear Flood Routing R. Price 10.1061/(ASCE)HY.1943-7900.0000088
29. Application of the Muskingum-Cunge routing method with variable parameters in a gauged creek reach H. ÇAKIR & M. KESKİN 10.35860/iarej.813766
30. 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
31. A fully mass conservative variable parameter McCarthy–Muskingum method: Theory and verification M. Perumal & R. Price 10.1016/j.jhydrol.2013.08.023
32. Validation of a full hydrodynamic model for large‐scale hydrologic modelling in the Amazon R. Paiva et al. 10.1002/hyp.8425
33. 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
34. Discussion of “Assessment and review of the hydraulics of storage flood routing 70 years after the presentation of the Muskingum method” M. Perumal 10.1080/02626667.2010.491260
35. Linear diffusion-wave channel routing using a discrete Hayami convolution method L. Wang et al. 10.1016/j.jhydrol.2013.11.046
36. Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al. 10.1175/JHM-D-18-0040.1
37. 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
38. On mass and momentum conservation in the variable-parameter Muskingum method P. Reggiani et al. 10.1016/j.jhydrol.2016.10.030
39. Rating Curve Development at Ungauged River Sites using Variable Parameter Muskingum Discharge Routing Method B. Sahoo et al. 10.1007/s11269-014-0709-9
40. 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
41. Informing a hydrological model of the Ogooué with multi-mission remote sensing data C. Kittel et al. 10.5194/hess-22-1453-2018
42. Analysis of coupling errors in a physically-based integrated surface water–groundwater model C. Dagès et al. 10.1016/j.advwatres.2012.07.019
43. 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
44. River Network Routing on the NHDPlus Dataset C. David et al. 10.1175/2011JHM1345.1
45. 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
46. Reproducing an extreme flood with uncertain post-event information D. Fuentes-Andino et al. 10.5194/hess-21-3597-2017
47. 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
48. 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
49. 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
50. Variable parameter McCarthy–Muskingum routing method considering lateral flow B. Yadav et al. 10.1016/j.jhydrol.2015.01.068
51. Development and Application of Advanced Muskingum Flood Routing Model Considering Continuous Flow E. Lee et al. 10.3390/w10060760
52. 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
53. Total variation diminishing and mass conservative implementation of hydrological flow routing D. Schwanenberg & R. Alvarado Montero 10.1016/j.jhydrol.2016.05.007
54. Muskingum Models’ Development and their Parameter Estimation: A State-of-the-art Review W. Wang et al. 10.1007/s11269-023-03493-1
55. 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
56. 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
57. 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
58. 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
59. 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
60. A systematic review of Muskingum flood routing techniques A. Salvati et al. 10.1080/02626667.2024.2324132
61. Water Balance Calculation Based on Hydrodynamics in Reservoir Operation S. Zhu et al. 10.3390/w14132001
62. Rigorous evaluation of a soil heat transfer model for mesoscale climate change impact studies M. Muerth & W. Mauser 10.1016/j.envsoft.2012.02.017
63. 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
64. 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
65. 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
66. 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
67. How Will Hydroelectric Power Generation Develop under Climate Change Scenarios? A Case Study in the Upper Danube Basin F. Koch et al. 10.3390/en4101508
68. The German drought monitor M. Zink et al. 10.1088/1748-9326/11/7/074002
69. PROMET – Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds W. Mauser & H. Bach 10.1016/j.jhydrol.2009.07.046
70. 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
71. 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
72. Climate change impact assessment under data scarcity by hydrological and hydrodynamic modeling in Izmit Bay/Turkey G. ENGİN et al. 10.35208/ert.777323
73. River discharge simulation using variable parameter McCarthy–Muskingum and wavelet-support vector machine methods B. Yadav & S. Mathur 10.1007/s00521-018-3745-1