89 citations as recorded by crossref.

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10. Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland) J. Jeziorska & T. Niedzielski https://doi.org/10.1007/s11600-018-0121-6
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14. Subjective modeling decisions can significantly impact the simulation of flood and drought events L. Melsen et al. https://doi.org/10.1016/j.jhydrol.2018.11.046
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26. Characterizing fast herbicide transport in a small agricultural catchment with conceptual models L. Ammann et al. https://doi.org/10.1016/j.jhydrol.2020.124812
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30. Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge R. Collenteur et al. https://doi.org/10.5194/hess-28-5193-2024
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37. Modelling aeolian sediment transport during initial soil development on an artificial catchment using WEPS and aerial images T. Maurer & H. Gerke https://doi.org/10.1016/j.still.2011.09.008
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40. Hydropedology: Towards new insights into interactive pedologic and hydrologic processes across scales H. Lin https://doi.org/10.1016/j.jhydrol.2011.05.054
41. HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al. https://doi.org/10.5194/hess-29-465-2025
42. The Hydrological Open Air Laboratory (HOAL) in Petzenkirchen: a hypothesis-driven observatory G. Blöschl et al. https://doi.org/10.5194/hess-20-227-2016
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44. Glacial Effects on Discharge and Sediment Load in the Subarctic Tanana River Basin, Alaska T. Wada et al. https://doi.org/10.1657/1938-4246-43.4.632
45. Initial Ecosystem Processes as Key Factors of Landscape Development—A Review T. Raab et al. https://doi.org/10.2747/0272-3646.33.4.305
46. Improved Recharge Estimation from Portable, Low‐Cost Weather Stations H. Holländer et al. https://doi.org/10.1111/gwat.12346
47. A structure generator for modelling the initial sediment distribution of an artificial hydrologic catchment T. Maurer et al. https://doi.org/10.5194/hess-15-3617-2011
48. A Model Combination Approach for Improving Streamflow Prediction A. Kadu & B. Biswal https://doi.org/10.1007/s11269-022-03336-5
49. Conceptual model building inspired by field-mapped runoff generation mechanisms A. Viglione et al. https://doi.org/10.2478/johh-2018-0010
50. Field-scale spatial variability of saturated hydraulic conductivity on a recently constructed artificial ecosystem W. Gwenzi et al. https://doi.org/10.1016/j.geoderma.2011.06.010
51. Monitoring the formation of structures and patterns during initial development of an artificial catchment W. Schaaf et al. https://doi.org/10.1007/s10661-012-2998-x
52. 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. https://doi.org/10.3390/hydrology9080141
53. Hydrological observation and modelling relationship for the determination of water budget in Lusatian post-mining landscape D. Biemelt et al. https://doi.org/10.1016/j.pce.2010.07.015
54. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models R. Nijzink et al. https://doi.org/10.5194/hess-20-1151-2016
55. Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. https://doi.org/10.1007/s11629-017-4587-5
56. Hydrogeological investigation of soil salinity adjacent to a flood protection infrastructure J. Rentz et al. https://doi.org/10.1007/s12665-020-09297-5
57. Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes N. Romano et al. https://doi.org/10.5194/hess-15-3877-2011
58. Incremental model breakdown to assess the multi-hypotheses problem F. Jehn et al. https://doi.org/10.5194/hess-22-4565-2018
59. 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. https://doi.org/10.1016/j.jhydrol.2013.06.016
60. Novel software tool for emergency gas leak response in outdoor environments H. Chaloupecká et al. https://doi.org/10.1016/j.jlp.2025.105692
61. Karst modelling challenge 1: Results of hydrological modelling P. Jeannin et al. https://doi.org/10.1016/j.jhydrol.2021.126508
62. An overview of current applications, challenges, and future trends in distributed process-based models in hydrology S. Fatichi et al. https://doi.org/10.1016/j.jhydrol.2016.03.026
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73. Processes and Modeling of Initial Soil and Landscape Development: A Review T. Maurer & H. Gerke https://doi.org/10.2136/vzj2016.05.0048
74. Impact of dumped sediment structures on hydrological modelling in the artificial Chicken Creek catchment, Germany H. Hölzel et al. https://doi.org/10.1016/j.jhydrol.2012.11.029
75. A web-based platform for terrestrial data repository from Chicken Creek catchment D. Moghadas et al. https://doi.org/10.1007/s12145-019-00385-0
76. Using Python as a coupling platform for integrated catchment models P. Kraft et al. https://doi.org/10.5194/adgeo-27-51-2010
77. Future agriculture with minimized phosphorus losses to waters: Research needs and direction A. Sharpley et al. https://doi.org/10.1007/s13280-014-0612-x
78. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al. https://doi.org/10.1177/0309133312444943
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83. Grope in the Dark – Hydrological modelling of the artificial Chicken Creek catchment without validation possibilities H. Hölzel et al. https://doi.org/10.1016/j.pce.2010.04.017
84. Does hydrocarbon contamination induce water repellency and changes in hydraulic properties in inherently wettable tropical sandy soils? A. Takawira et al. https://doi.org/10.1016/j.geoderma.2014.07.023
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