84 citations as recorded by crossref.

1. The Added Value of Different Data Types for Calibrating and Testing a Hydrologic Model in a Small Catchment B. Széles et al. 10.1029/2019WR026153
2. A Three‐Dimensional Structure and Process Model for Integrated Hydro‐Geo‐Pedologic Analysis of a Constructed Hydrological Catchment H. Gerke et al. 10.2136/vzj2013.02.0040
3. Modeller subjectivity and calibration impacts on hydrological model applications: An event-based comparison for a road-adjacent catchment in south-east Norway Z. Kalantari et al. 10.1016/j.scitotenv.2014.09.030
4. Is the LSTM Model Better than RNN for Flood Forecasting Tasks? A Case Study of HuaYuankou Station and LouDe Station in the Lower Yellow River Basin Y. Wang et al. 10.3390/w15223928
5. People and water: understanding integrated systems needs integrated approaches G. Carr et al. 10.2166/aqua.2020.055
6. Mechanism of nutrients supply from the Tokachi River catchment considering characteristics of discharge and land use H. IWANAMI et al. 10.4145/jahs.43.3
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8. Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty S. Khatami et al. 10.1029/2018WR023750
9. Impact of modellers' decisions on hydrological a priori predictions H. Holländer et al. 10.5194/hess-18-2065-2014
10. Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland) J. Jeziorska & T. Niedzielski 10.1007/s11600-018-0121-6
11. Hydrogeomorphic processes and scaling issues in the continuum from soil pedons to catchments R. Sidle et al. 10.1016/j.earscirev.2017.10.010
12. Regionalisation of nitrate leaching on pasture land in Southern Manitoba S. Singh et al. 10.1016/j.agwat.2019.05.016
13. The effects of climate and changing land use on the discharge regime of a small catchment in Tanzania M. Natkhin et al. 10.1007/s10113-013-0462-2
14. Subjective modeling decisions can significantly impact the simulation of flood and drought events L. Melsen et al. 10.1016/j.jhydrol.2018.11.046
15. Inter-comparison of three distributed hydrological models with respect to seasonal variability of soil moisture patterns at a small forested catchment J. Koch et al. 10.1016/j.jhydrol.2015.12.002
16. Spatially Distributed Conceptual Hydrological Model Building: A Generic Top‐Down Approach Starting From Lumped Models Q. Tran et al. 10.1029/2018WR023566
17. Impact of Hydrological Modellers’ Decisions and Attitude on the Performance of a Calibrated Conceptual Catchment Model: Results from a ‘Modelling Contest’ H. Bormann et al. 10.3390/hydrology5040064
18. Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi-distributed approach F. Garavaglia et al. 10.5194/hess-21-3937-2017
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20. What is the role of the model in socio-hydrology? Discussion of “Prediction in a socio-hydrological world” L. Melsen et al. 10.1080/02626667.2018.1499025
21. Combining dual-continuum approach with diffusion wave model to include a preferential flow component in hillslope scale modeling of shallow subsurface runoff J. Dusek et al. 10.1016/j.advwatres.2012.05.006
22. Characteristics of runoffs in subarctic river basins; a comparison between Alaska and Hokkaido K. CHIKITA 10.4145/jahs.42.131
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24. Characterizing fast herbicide transport in a small agricultural catchment with conceptual models L. Ammann et al. 10.1016/j.jhydrol.2020.124812
25. Pursuing the method of multiple working hypotheses for hydrological modeling M. Clark et al. 10.1029/2010WR009827
26. Does model performance improve with complexity? A case study with three hydrological models R. Orth et al. 10.1016/j.jhydrol.2015.01.044
27. Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al. 10.5194/hess-21-423-2017
28. Modeling of river flow rate as a function of rainfall and temperature using response surface methodology based on historical time series S. Kostić et al. 10.2166/hydro.2016.153
29. Impact of mountain permafrost on flow path and runoff response in a high alpine catchment M. Rogger et al. 10.1002/2016WR019341
30. Effects of erosion-induced changes to topography on runoff dynamics S. Khosh Bin Ghomash et al. 10.1016/j.jhydrol.2019.04.018
31. Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water” by Eric F. Wood et al. K. Beven & H. Cloke 10.1029/2011WR010982
32. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
33. Virtual laboratories: new opportunities for collaborative water science S. Ceola et al. 10.5194/hess-19-2101-2015
34. Modelling aeolian sediment transport during initial soil development on an artificial catchment using WEPS and aerial images T. Maurer & H. Gerke 10.1016/j.still.2011.09.008
35. The future of hydrology: An evolving science for a changing world T. Wagener et al. 10.1029/2009WR008906
36. Hydrological earth observatories and artificial catchments: From observation to modelling H. Holländer et al. 10.1016/j.pce.2010.12.012
37. Hydropedology: Towards new insights into interactive pedologic and hydrologic processes across scales H. Lin 10.1016/j.jhydrol.2011.05.054
38. The Hydrological Open Air Laboratory (HOAL) in Petzenkirchen: a hypothesis-driven observatory G. Blöschl et al. 10.5194/hess-20-227-2016
39. Behandlung künstlicher Speicher und Überleitungen in der alpinen Niederschlags-Abfluss-Vorhersage J. Wesemann et al. 10.1007/s00506-018-0501-9
40. Glacial Effects on Discharge and Sediment Load in the Subarctic Tanana River Basin, Alaska T. Wada et al. 10.1657/1938-4246-43.4.632
41. Initial Ecosystem Processes as Key Factors of Landscape Development—A Review T. Raab et al. 10.2747/0272-3646.33.4.305
42. Improved Recharge Estimation from Portable, Low‐Cost Weather Stations H. Holländer et al. 10.1111/gwat.12346
43. A structure generator for modelling the initial sediment distribution of an artificial hydrologic catchment T. Maurer et al. 10.5194/hess-15-3617-2011
44. A Model Combination Approach for Improving Streamflow Prediction A. Kadu & B. Biswal 10.1007/s11269-022-03336-5
45. Conceptual model building inspired by field-mapped runoff generation mechanisms A. Viglione et al. 10.2478/johh-2018-0010
46. Field-scale spatial variability of saturated hydraulic conductivity on a recently constructed artificial ecosystem W. Gwenzi et al. 10.1016/j.geoderma.2011.06.010
47. Monitoring the formation of structures and patterns during initial development of an artificial catchment W. Schaaf et al. 10.1007/s10661-012-2998-x
48. Does Flash Flood Model Performance Increase with Complexity? Signature and Sensitivity-Based Comparison of Conceptual and Process-Oriented Models on French Mediterranean Cases A. Haruna et al. 10.3390/hydrology9080141
49. Hydrological observation and modelling relationship for the determination of water budget in Lusatian post-mining landscape D. Biemelt et al. 10.1016/j.pce.2010.07.015
50. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models R. Nijzink et al. 10.5194/hess-20-1151-2016
51. Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. 10.1007/s11629-017-4587-5
52. Hydrogeological investigation of soil salinity adjacent to a flood protection infrastructure J. Rentz et al. 10.1007/s12665-020-09297-5
53. Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes N. Romano et al. 10.5194/hess-15-3877-2011
54. Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al. 10.5194/hess-22-4565-2018
55. A comparison of hydrological models for assessing the impact of land use and climate change on discharge in a tropical catchment T. Cornelissen et al. 10.1016/j.jhydrol.2013.06.016
56. Karst modelling challenge 1: Results of hydrological modelling P. Jeannin et al. 10.1016/j.jhydrol.2021.126508
57. An overview of current applications, challenges, and future trends in distributed process-based models in hydrology S. Fatichi et al. 10.1016/j.jhydrol.2016.03.026
58. Developing a lumped rainfall-runoff model in daily timestep for the Central European regions: A case study of the Czech Republic M. Bednář & D. Marton 10.1016/j.envsoft.2024.106092
59. Historical development of rainfall‐runoff modeling M. Peel & T. McMahon 10.1002/wat2.1471
60. A modeller’s fingerprint on hydrodynamic decision support modelling J. Remmers et al. 10.1016/j.envsoft.2024.106167
61. Observation of hydrological processes and structures in the artificial Chicken Creek catchment K. Mazur et al. 10.1016/j.pce.2010.10.001
62. Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions X. Yang et al. 10.1016/j.jhydrol.2019.124357
63. Soil water behaviors and their effects on river runoffs: The Saromabetsu River basin, Hokkaido M. ISLAM et al. 10.4145/jahs.42.1
64. “Network” socio-hydrology: a case study of causal factors that shape the Jaguaribe River Basin, Ceará-Brazil R. Frota et al. 10.1080/02626667.2021.1913282
65. Scenario‐Based Three‐Dimensional Distributed Sediment Structures for a Constructed Hydrological Catchment T. Maurer et al. 10.2136/vzj2013.02.0047
66. Processes and Modeling of Initial Soil and Landscape Development: A Review T. Maurer & H. Gerke 10.2136/vzj2016.05.0048
67. Impact of dumped sediment structures on hydrological modelling in the artificial Chicken Creek catchment, Germany H. Hölzel et al. 10.1016/j.jhydrol.2012.11.029
68. A web-based platform for terrestrial data repository from Chicken Creek catchment D. Moghadas et al. 10.1007/s12145-019-00385-0
69. Using Python as a coupling platform for integrated catchment models P. Kraft et al. 10.5194/adgeo-27-51-2010
70. Future agriculture with minimized phosphorus losses to waters: Research needs and direction A. Sharpley et al. 10.1007/s13280-014-0612-x
71. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al. 10.1177/0309133312444943
72. Using discharge data to reduce structural deficits in a hydrological model with a Bayesian inference approach and the implications for the prediction of critical source areas M. Frey et al. 10.1029/2010WR009993
73. Land use change impacts on floods at the catchment scale: Challenges and opportunities for future research M. Rogger et al. 10.1002/2017WR020723
74. Flood hydrograph prediction in a semiarid mountain catchment: The role of catchment subdivision H. Rezaei‐Sadr 10.1111/jfr3.12568
75. A hydro-climatic approach for extreme flood estimation in mountainous catchments M. Bashirgonbad et al. 10.1007/s13201-024-02149-8
76. Grope in the Dark – Hydrological modelling of the artificial Chicken Creek catchment without validation possibilities H. Hölzel et al. 10.1016/j.pce.2010.04.017
77. Does hydrocarbon contamination induce water repellency and changes in hydraulic properties in inherently wettable tropical sandy soils? A. Takawira et al. 10.1016/j.geoderma.2014.07.023
78. Effects of soil and vegetation development on surface hydrological properties of moraines in the Swiss Alps F. Maier et al. 10.1016/j.catena.2019.104353
79. Long‐Term Changes in Runoff Generation Mechanisms for Two Proglacial Areas in the Swiss Alps I: Overland Flow F. Maier & I. van Meerveld 10.1029/2021WR030221
80. Treating an artificial catchment as ungauged: Increasing the plausibility of an uncalibrated, process-based SVAT scheme by using additional soft and hard data H. Bormann 10.1016/j.pce.2011.04.006
81. Landscape Development From Point Zero R. Hüttl & W. Gerwin 10.2984/77.2.11
82. Comparison of hydrological model structures based on recession and low flow simulations M. Staudinger et al. 10.5194/hess-15-3447-2011
83. 3D initial sediment distribution and quantification of mass balances of an artificially-created hydrological catchment based on DEMs from aerial photographs using GOCAD A. Schneider et al. 10.1016/j.pce.2010.03.023
84. The artificial catchment “Chicken Creek” (Lusatia, Germany)—A landscape laboratory for interdisciplinary studies of initial ecosystem development W. Gerwin et al. 10.1016/j.ecoleng.2009.09.003