99 citations as recorded by crossref.

1. Behind every robust result is a robust method: Perspectives from a case study and publication process in hydrological modelling F. Fenicia & D. Kavetski 10.1002/hyp.14266
2. Climate change impacts on surface water resources in the Rheraya catchment (High Atlas, Morocco) A. Marchane et al. 10.1080/02626667.2017.1283042
3. Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. 10.5194/hess-25-3937-2021
4. Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies J. Vaze et al. 10.1016/j.jhydrol.2010.09.018
5. The impact of calibration conditions on the transferability of conceptual hydrological models under stationary and nonstationary climatic conditions W. Yang et al. 10.1016/j.jhydrol.2022.128310
6. Approximating uncertainty of annual runoff and reservoir yield using stochastic replicates of global climate model data M. Peel et al. 10.5194/hess-19-1615-2015
7. Exploration of sub-annual calibration schemes of hydrological models K. Kim & D. Han 10.2166/nh.2016.296
8. Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development F. Fenicia et al. 10.1029/2010WR010174
9. Characterising performance of environmental models N. Bennett et al. 10.1016/j.envsoft.2012.09.011
10. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al. 10.5194/hess-24-2017-2020
11. Crash tests for forward-looking flood control in the city of Zürich (Switzerland) M. Zappa et al. 10.5194/piahs-370-235-2015
12. Holistic versus monomeric strategies for hydrological modelling of human-modified hydrosystems I. Nalbantis et al. 10.5194/hess-15-743-2011
13. The influence of conceptual model structure on model performance: a comparative study for 237 French catchments W. van Esse et al. 10.5194/hess-17-4227-2013
14. An approach to the scaling problem in hydrological modelling: the deterministic modelling hydrological system Y. Vinogradov et al. 10.1002/hyp.7901
15. Hydrological modelling at multiple sub-daily time steps: Model improvement via flux-matching A. Ficchì et al. 10.1016/j.jhydrol.2019.05.084
16. Synergies entre acteurs opérationnels et scientifiques au service de l'amélioration de la prévision des crues C. Furusho et al. 10.1051/lhb/2016033
17. Hydrological modelling in a changing world M. Peel & G. Blöschl 10.1177/0309133311402550
18. Impact of temporal resolution of inputs on hydrological model performance: An analysis based on 2400 flood events A. Ficchì et al. 10.1016/j.jhydrol.2016.04.016
19. Results of the DMIP 2 Oklahoma experiments M. Smith et al. 10.1016/j.jhydrol.2011.08.056
20. Hydrologically Aided Interpolation of Daily Precipitation and Temperature Fields in a Mesoscale Alpine Catchment N. Le Moine et al. 10.1175/JHM-D-14-0162.1
21. Improved method for identifying Manning’s roughness coefficients in plain looped river network area F. Yang et al. 10.1080/19942060.2020.1858967
22. Generalized Split-Sample Test Interpretation Using Rainfall Runoff Information Gain A. Ben Jaafar & Z. Bargaoui 10.1061/(ASCE)HE.1943-5584.0001868
23. Operational Comparison of Rainfall-Runoff Models through Hypothesis Testing J. Fidal & T. Kjeldsen 10.1061/(ASCE)HE.1943-5584.0001892
24. Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice D. Biondi et al. 10.1016/j.pce.2011.07.037
25. Diagnostic Evaluation of Hydrologic Models Employing Flow Duration Curve V. Chilkoti et al. 10.1061/(ASCE)HE.1943-5584.0001778
26. From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions F. Fenicia et al. 10.1002/2015WR017398
27. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
28. Technical note: RAT – a robustness assessment test for calibrated and uncalibrated hydrological models P. Nicolle et al. 10.5194/hess-25-5013-2021
29. A channel transmission losses model for different dryland rivers A. Costa et al. 10.5194/hess-16-1111-2012
30. Diagnosis of Model Errors With a Sliding Time‐Window Bayesian Analysis H. Hsueh et al. 10.1029/2021WR030590
31. A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments W. Knoben et al. 10.1029/2019WR025975
32. An approach to identify time consistent model parameters: sub-period calibration S. Gharari et al. 10.5194/hess-17-149-2013
33. Uncertainty estimation with deep learning for rainfall–runoff modeling D. Klotz et al. 10.5194/hess-26-1673-2022
34. Performance of the COSERO precipitation–runoff model under non-stationary conditions in basins with different climates H. Kling et al. 10.1080/02626667.2014.959956
35. Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall‐runoff models K. Fowler et al. 10.1002/2015WR018068
36. Techniques to evaluate the modifier process of National Weather Service flood forecasts Z. Zhu et al. 10.1016/j.hydroa.2020.100073
37. Fit-for-purpose environmental modeling: Targeting the intersection of usability, reliability and feasibility S. Hamilton et al. 10.1016/j.envsoft.2021.105278
38. Does model performance improve with complexity? A case study with three hydrological models R. Orth et al. 10.1016/j.jhydrol.2015.01.044
39. Validation of a national hydrological model H. McMillan et al. 10.1016/j.jhydrol.2016.07.043
40. Understanding Heavy Tails of Flood Peak Distributions B. Merz et al. 10.1029/2021WR030506
41. When does higher spatial resolution rainfall information improve streamflow simulation? An evaluation using 3620 flood events F. Lobligeois et al. 10.5194/hess-18-575-2014
42. HESS Opinions "Topography driven conceptual modelling (FLEX-Topo)" H. Savenije 10.5194/hess-14-2681-2010
43. Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment M. Dal Molin et al. 10.5194/hess-24-1319-2020
44. 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
45. The Court of Miracles of Hydrology: can failure stories contribute to hydrological science? V. Andréassian et al. 10.1080/02626667.2010.506050
46. Determining probability distributions of parameter performances for time-series model calibration: A river system trial S. Kim et al. 10.1016/j.jhydrol.2015.09.073
47. Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria A. Viglione et al. 10.5194/hess-17-2263-2013
48. On the lack of robustness of hydrologic models regarding water balance simulation: a diagnostic approach applied to three models of increasing complexity on 20 mountainous catchments L. Coron et al. 10.5194/hess-18-727-2014
49. Assessment of a multimodel ensemble against an operational hydrological forecasting system A. Thiboult & F. Anctil 10.1080/07011784.2015.1026402
50. A qualitative model structure sensitivity analysis method to support model selection S. Van Hoey et al. 10.1016/j.jhydrol.2014.09.052
51. Capacity of semi-parametric regression models to predict extreme-event water quality in the Northeastern US M. Hagemann & M. Park 10.1016/j.jhydrol.2017.02.017
52. Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments G. Thirel et al. 10.1080/02626667.2014.967248
53. Physically consistent conceptual rainfall–runoff model for urbanized catchments M. Saadi et al. 10.1016/j.jhydrol.2021.126394
54. Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin D. Ba et al. 10.2478/johh-2023-0044
55. Distributed source pollutant transport module based on BTOPMC: a case study of the Laixi River basin in the Sichuan province of southwest China H. Zhang et al. 10.5194/piahs-379-323-2018
56. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al. 10.3390/w11102126
57. Using field data to inform and evaluate a new model of catchment hydrologic connectivity T. Smith et al. 10.1002/wrcr.20546
58. On evaluating the robustness of spatial-proximity-based regionalization methods L. Lebecherel et al. 10.1016/j.jhydrol.2016.05.031
59. Using models to inform water policy in a changing climate: comparing the Australian and Uruguayan experiences A. Silvarrey Barruffa et al. 10.1071/MF19266
60. Does a successful comprehensive evaluation increase confidence in a hydrological model intended for climate impact assessment? A. Gelfan et al. 10.1007/s10584-020-02930-z
61. A “monster” that made the SMAR conceptual model “right for the wrong reasons” M. Goswami & K. O'Connor 10.1080/02626667.2010.505170
62. Discussion on ‘Recommended practice for hydrologic investigations and reporting’ by RJ Nathan and TA McMahon R. French & M. Jones 10.1080/13241583.2018.1478243
63. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al. 10.1016/j.jhydrol.2020.124698
64. Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. 10.5194/hess-18-463-2014
65. Comparing classical performance measures with signature indices derived from flow duration curves to assess model structures as tools for catchment classification R. Ley et al. 10.2166/nh.2015.221
66. Hydrological regime of remote catchments with extreme gradients under accelerated change: the Baker basin in Patagonia A. Dussaillant J. et al. 10.1080/02626667.2012.726993
67. Benchmarking hydrological models for low-flow simulation and forecasting on French catchments P. Nicolle et al. 10.5194/hess-18-2829-2014
68. The transferability of hydrological models under nonstationary climatic conditions C. Li et al. 10.5194/hess-16-1239-2012
69. Rainfall-Runoff Modeling of the Nested Non-Homogeneous Sava River Sub-Catchments in Slovenia K. Lavtar et al. 10.3390/w12010128
70. Improving the flood forecasting capability of the Xinanjiang model for small- and medium-sized ungauged catchments in South China J. Gong et al. 10.1007/s11069-021-04531-0
71. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
72. Transferability of hydrological models and ensemble averaging methods between contrasting climatic periods C. Broderick et al. 10.1002/2016WR018850
73. Seasonal streamflow forecasting by conditioning climatology with precipitation indices L. Crochemore et al. 10.5194/hess-21-1573-2017
74. Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations W. Knoben et al. 10.5194/gmd-12-2463-2019
75. Distributed rainfall‐runoff modelling for flood frequency estimation and flood forecasting L. Brocca et al. 10.1002/hyp.8042
76. Are Model Transferability And Complexity Antithetical? Insights From Validation of a Variable‐Complexity Empirical Snow Model in Space and Time A. Lute & C. Luce 10.1002/2017WR020752
77. Selecting hydrological models for developing countries: Perspective of global, continental, and country scale models over catchment scale models P. Paul et al. 10.1016/j.jhydrol.2021.126561
78. Challenges of Operational River Forecasting T. Pagano et al. 10.1175/JHM-D-13-0188.1
79. The distributed model intercomparison project – Phase 2: Experiment design and summary results of the western basin experiments M. Smith et al. 10.1016/j.jhydrol.2013.08.040
80. Accelerating advances in continental domain hydrologic modeling S. Archfield et al. 10.1002/2015WR017498
81. On the (im)possible validation of hydrogeological models V. Andréassian 10.5802/crgeos.142
82. CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland M. Höge et al. 10.5194/essd-15-5755-2023
83. 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
84. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
85. Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. 10.5194/hess-18-4839-2014
86. Groundwater recharge predictions in contrasted climate: The effect of model complexity and calibration period on recharge rates C. Moeck et al. 10.1016/j.envsoft.2018.02.005
87. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al. 10.1080/02626667.2021.1923720
88. A framework to assess the realism of model structures using hydrological signatures T. Euser et al. 10.5194/hess-17-1893-2013
89. Multimodel evaluation of twenty lumped hydrological models under contrasted climate conditions G. Seiller et al. 10.5194/hess-16-1171-2012
90. Assessing the Climatic and Temporal Transposability of the SWAT Model across a Large Contrasted Watershed Y. Grusson et al. 10.1061/(ASCE)HE.1943-5584.0001491
91. Influence of climate and land-use changes on the sensitivity of SWAT model parameters and water availability in a semi-arid river basin A. Sharma et al. 10.1016/j.catena.2022.106298
92. Elements of a flexible approach for conceptual hydrological modeling: 2. Application and experimental insights D. Kavetski & F. Fenicia 10.1029/2011WR010748
93. Exploration of warm-up period in conceptual hydrological modelling K. Kim et al. 10.1016/j.jhydrol.2017.11.015
94. Hydrological modelling of temporally-varying catchments: facets of change and the value of information A. Efstratiadis et al. 10.1080/02626667.2014.982123
95. Simultaneous Calibration of Hydrologic Model Structure and Parameters Using a Blended Model R. Chlumsky et al. 10.1029/2020WR029229
96. Do internal flow measurements improve the calibration of rainfall‐runoff models? J. Lerat et al. 10.1029/2010WR010179
97. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al. 10.1002/2016WR019574
98. Evaluating the transferability of monthly water balance models under changing climate conditions Ž. Topalović et al. 10.1080/02626667.2020.1725238
99. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182