180 citations as recorded by crossref.

1. Impact of Dataset Size on the Signature-Based Calibration of a Hydrological Model S. Mohammed et al. 10.3390/w13070970
2. Dynamic Identifiability Analysis-Based Model Structure Evaluation Considering Rating Curve Uncertainty S. Van Hoey et al. 10.1061/(ASCE)HE.1943-5584.0000995
3. Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al. 10.1002/2015WR017635
4. Streamflow characteristics from modeled runoff time series – importance of calibration criteria selection S. Pool et al. 10.5194/hess-21-5443-2017
5. Comparing flow duration curve and rainfall–runoff modelling for predicting daily runoff in ungauged catchments Y. Zhang et al. 10.1016/j.jhydrol.2015.03.043
6. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations G. Coxon et al. 10.1002/2014WR016532
7. Parameter and input data uncertainty estimation for the assessment of water resources in two sub-basins of the Limpopo River Basin N. Oosthuizen et al. 10.5194/piahs-378-11-2018
8. Deriving hydrological signatures from soil moisture data F. Branger & H. McMillan 10.1002/hyp.13645
9. The future of Alpine Run-of-River hydropower production: Climate change, environmental flow requirements, and technical production potential W. Tobias et al. 10.1016/j.scitotenv.2023.163934
10. Hydrologic modeling in dynamic catchments: A data assimilation approach S. Pathiraja et al. 10.1002/2015WR017192
11. Advances in Quantifying Streamflow Variability Across Continental Scales: 2. Improved Model Regionalization and Prediction Uncertainties Using Hierarchical Bayesian Methods R. Alexander et al. 10.1029/2019WR025037
12. Identification of a Function to Fit the Flow Duration Curve and Parameterization of a Semi-Arid Region in North China L. Ma et al. 10.3390/atmos14010116
13. On (in)validating environmental models. 1. Principles for formulating a Turing‐like Test for determining when a model is fit‐for purpose K. Beven & S. Lane 10.1002/hyp.14704
14. Frequency-based performance measure for hydrologic model evaluation R. Teegavarapu et al. 10.1016/j.jhydrol.2022.127583
15. Tradeoffs among watershed model calibration targets for parameter estimation K. Price et al. 10.1029/2012WR012005
16. The impacts of climatological adjustment of quantitative precipitation estimates on the accuracy of flash flood detection Y. Zhang et al. 10.1016/j.jhydrol.2015.12.017
17. On characterizing the temporal dominance patterns of model parameters and processes B. Guse et al. 10.1002/hyp.10764
18. Assessment of environmental flow requirements using a coupled surface water-groundwater model and a flow health tool: A case study of Son river in the Ganga basin N. Joseph et al. 10.1016/j.ecolind.2020.107110
19. A signature‐based approach to quantify soil moisture dynamics under contrasting land‐uses R. Araki et al. 10.1002/hyp.14553
20. Process‐based interpretation of conceptual hydrological model performance using a multinational catchment set C. Poncelet et al. 10.1002/2016WR019991
21. Delineating modelling uncertainty in river flow indicators with representative parameter sets A. Sikorska-Senoner 10.1016/j.advwatres.2021.104024
22. Contribution to hydrological modelling of small Amazonian catchments: application of rainfall–runoff models to simulate flow duration curves C. Blanco et al. 10.1080/02626667.2013.830727
23. Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication K. Beven 10.1080/02626667.2015.1031761
24. Sub-daily runoff predictions using parameters calibrated on the basis of data with a daily temporal resolution J. Reynolds et al. 10.1016/j.jhydrol.2017.05.012
25. Hydrological model calibration with uncertain discharge data I. Westerberg et al. 10.1080/02626667.2020.1735638
26. SMAP Passive Microwave Radiometer for Global River Flow Monitoring Z. Kugler et al. 10.1109/TGRS.2024.3359515
27. Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
28. Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al. 10.5194/hess-18-2993-2014
29. A framework for global river flood risk assessments H. Winsemius et al. 10.5194/hess-17-1871-2013
30. Determining the robust optimal set of BMPs for urban runoff management in data-poor catchments S. Aminjavaheri & S. Nazif 10.1080/09640568.2017.1337567
31. A framework to assess the realism of model structures using hydrological signatures T. Euser et al. 10.5194/hess-17-1893-2013
32. Twenty first century climatic and hydrological changes over Upper Indus Basin of Himalayan region of Pakistan S. Ali et al. 10.1088/1748-9326/10/1/014007
33. Is Catchment Classification Possible by Means of Multiple Model Structures? A Case Study Based on 99 Catchments in Germany R. Ley et al. 10.3390/hydrology3020022
34. The Quest for Hydrological Signatures: Effects of Data Transformation on Bayesian Inference of Watershed Models M. Sadegh et al. 10.1007/s11269-018-1908-6
35. Assessing the impact of a multimetric calibration procedure on modelling performance in a headwater catchment in Mau Forest, Kenya A. Kamamia et al. 10.1016/j.ejrh.2018.12.005
36. Intercomparison of five lumped and distributed models for catchment runoff and extreme flow simulation T. Vansteenkiste et al. 10.1016/j.jhydrol.2014.01.050
37. Identifying the connective strength between model parameters and performance criteria B. Guse et al. 10.5194/hess-21-5663-2017
38. Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin P. Kabuya et al. 10.1016/j.advwatres.2021.104093
39. Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence? H. Müller-Thomy et al. 10.5194/hess-22-5259-2018
40. Parameter estimation of hydrologic models using a likelihood function for censored and binary observations O. Wani et al. 10.1016/j.watres.2017.05.038
41. A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China S. Liu et al. 10.1007/s00477-022-02282-3
42. Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency S. Pool et al. 10.1080/02626667.2018.1552002
43. Hydraulic Model Calibration Using CryoSat‐2 Observations in the Zambezi Catchment C. Kittel et al. 10.1029/2020WR029261
44. On the Calibration of Spatially Distributed Hydrologic Models for Poorly Gauged Basins: Exploiting Information from Streamflow Signatures and Remote Sensing-Based Evapotranspiration Data T. Alemayehu et al. 10.3390/w14081252
45. Comparing and combining physically-based and empirically-based approaches for estimating the hydrology of ungauged catchments D. Booker & R. Woods 10.1016/j.jhydrol.2013.11.007
46. Understanding the water cycle over the upper Tarim Basin: retrospecting the estimated discharge bias to atmospheric variables and model structure X. Zhou et al. 10.5194/hess-22-6087-2018
47. Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable M. Ibrahim et al. 10.5194/hess-29-1703-2025
48. Regional models of flow-duration curves of perennial and intermittent streams and their use for calibrating the parameters of a rainfall–runoff model V. Costa et al. 10.1080/02626667.2013.802093
49. Investigation of the Role of Physiographical and Hydrological Parameters on the Shape of Flow duration Curve (Case Study: Khazar Region) R. Kazemi & N. Ghiasi 10.29252/jwmr.7.14.127
50. Parameter Estimation and Uncertainty Analysis: A Comparison between Continuous and Event-Based Modeling of Streamflow Based on the Hydrological Simulation Program–Fortran (HSPF) Model H. Xie et al. 10.3390/w11010171
51. A Signature‐Based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments M. Kiraz et al. 10.1029/2023WR035321
52. A coupled modelling framework to assess the hydroecological impact of climate change A. Visser et al. 10.1016/j.envsoft.2019.01.004
53. Developing tailored climate change scenarios for hydrological impact assessments V. Ntegeka et al. 10.1016/j.jhydrol.2013.11.001
54. Evaluación de la respuesta hidrológica del modelo DWB en la curva de duración de caudales a nivel de cuenca y microcuenca, caso de estudio la cuenca del río Sogamoso, Colombia C. García-Echeverri et al. 10.24850/j-tyca-16-3-7
55. Disinformative data in large-scale hydrological modelling A. Kauffeldt et al. 10.5194/hess-17-2845-2013
56. Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models M. Mazzoleni et al. 10.1016/j.advwatres.2015.07.004
57. Five guidelines for selecting hydrological signatures H. McMillan et al. 10.1002/hyp.11300
58. Informing a hydrological model of the Ogooué with multi-mission remote sensing data C. Kittel et al. 10.5194/hess-22-1453-2018
59. Rating curve estimation under epistemic uncertainty H. McMillan & I. Westerberg 10.1002/hyp.10419
60. Streamflow and flood prediction in Rwanda using machine learning and remote sensing in support of rural first-mile transport connectivity D. Macharia et al. 10.3389/fclim.2023.1158186
61. Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
62. Flood frequency under changing climate in the upper Kafue River basin, southern Africa: a large scale hydrological model application C. Ngongondo et al. 10.1007/s00477-013-0724-z
63. Robust informational entropy-based descriptors of flow in catchment hydrology I. Pechlivanidis et al. 10.1080/02626667.2014.983516
64. Multicriteria Evaluation Approach for Assessing Parametric Uncertainty during Extreme Peak and Low Flow Conditions over Snow Glaciated and Inland Catchments V. Singh et al. 10.1061/(ASCE)HE.1943-5584.0001217
65. Objective functions used as performance metrics for hydrological models: state-of-the-art and critical analysis P. Ferreira et al. 10.1590/2318-0331.252020190155
66. Analysis of Water Regime Modification Induced by Long-Term Development of Vegetation Cover M. Chlumecky 10.15406/ijh.2017.01.00031
67. Hydrological Utility and Uncertainty of Multi-Satellite Precipitation Products in the Mountainous Region of South Korea J. Kim et al. 10.3390/rs8070608
68. The influence of the calibration metric on design flood estimation using continuous simulation P. Cu & J. Ball 10.1080/15715124.2016.1239623
69. Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al. 10.5194/hess-24-1031-2020
70. Evaluation of the number of events’ influence on model performance and uncertainty in urban data-scarce areas based on behavioral parameter ranking method Y. Wu et al. 10.1016/j.jhydrol.2024.131298
71. Improving prediction of class-imbalanced time series through curation of training data: A case study of frozen ground prediction M. Ghosh et al. 10.1016/j.hydroa.2025.100201
72. An Interval-Deviation Approach for hydrology and water quality model evaluation within an uncertainty framework L. Chen et al. 10.1016/j.jhydrol.2013.11.043
73. A comparative assessment of rainfall–runoff modelling against regional flow duration curves for ungauged catchments D. Kim et al. 10.5194/hess-21-5647-2017
74. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
75. Review of Nonpoint Source Pollution Models: Current Status and Future Direction M. Wang et al. 10.3390/w14203217
76. An approach to identify time consistent model parameters: sub-period calibration S. Gharari et al. 10.5194/hess-17-149-2013
77. Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment I. Westerberg & C. Birkel 10.1002/hyp.10533
78. Snow hydrology signatures for model identification within a limits‐of‐acceptability approach B. Schaefli 10.1002/hyp.10972
79. Application of novel hybrid deep learning architectures combining Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN): construction duration estimates prediction considering preconstruction uncertainties B. Demiss & W. Elsaigh 10.1088/2631-8695/ad6ca7
80. A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven 10.1002/wat2.1761
81. Evaluation and Bias Correction of Satellite-Based Rainfall Estimates for Modelling Flash Floods over the Mediterranean region: Application to Karpuz River Basin, Turkey M. Saber & K. Yilmaz 10.3390/w10050657
82. Uncertainty quantification in watershed hydrology: Which method to use? A. Gupta & R. Govindaraju 10.1016/j.jhydrol.2022.128749
83. Hydrological modelling, process understanding and uncertainty in a southern African context: lessons from the northern hemisphere D. Hughes 10.1002/hyp.10721
84. From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions F. Fenicia et al. 10.1002/2015WR017398
85. The Quantile Solidarity approach for the parsimonious regionalization of flow duration curves C. Poncelet et al. 10.1080/02626667.2017.1335399
86. Exploring the physical controls of regional patterns of flow duration curves – Part 1: Insights from statistical analyses L. Cheng et al. 10.5194/hess-16-4435-2012
87. A qualitative model structure sensitivity analysis method to support model selection S. Van Hoey et al. 10.1016/j.jhydrol.2014.09.052
88. Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization A. Visser-Quinn et al. 10.5194/hess-23-3279-2019
89. Regionalization of hydrological model parameters for the semi-arid region of the northeast Brazil M. Virães & J. Cirilo 10.1590/2318-0331.241920180114
90. On constructing limits-of-acceptability in watershed hydrology using decision trees A. Gupta et al. 10.1016/j.advwatres.2023.104486
91. Observed hydrographs: on their ability to infer a time-invariant hydrological transfer function for flow prediction in ungauged basins B. Palanisamy & S. Workman 10.1002/hyp.9583
92. Modelling the impacts of land-cover change on streamflow dynamics of a tropical rainforest headwater catchment C. Birkel et al. 10.1080/02626667.2012.728707
93. Bayesian scrutiny of simple rainfall–runoff models used in forest water management A. Greenwood et al. 10.1016/j.jhydrol.2014.01.074
94. Regional water resources assessments using an uncertain modelling approach: The example of Swaziland C. Ndzabandzaba & D. Hughes 10.1016/j.ejrh.2017.01.002
95. Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Theory and Comparison to Existing Applications D. Kavetski et al. 10.1002/2017WR020528
96. Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests C. Prieto et al. 10.1029/2018WR023254
97. Parameter sensitivity analysis of a 1-D cold region lake model for land-surface schemes J. Guerrero et al. 10.5194/hess-21-6345-2017
98. Uncertainty in hydrological signatures I. Westerberg & H. McMillan 10.5194/hess-19-3951-2015
99. On the choice of calibration metrics for “high-flow” estimation using hydrologic models N. Mizukami et al. 10.5194/hess-23-2601-2019
100. Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China H. Gao et al. 10.5194/hess-18-1895-2014
101. DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology G. Coxon et al. 10.5194/gmd-12-2285-2019
102. Exploring the Application of Flood Scaling Property in Hydrological Model Calibration 10.1175/JHM-D-21-0123.1
103. Prediction of hydrographs and flow-duration curves in almost ungauged catchments: Which runoff measurements are most informative for model calibration? S. Pool et al. 10.1016/j.jhydrol.2017.09.037
104. Model signatures and aridity indices enhance the accuracy of water balance estimations in a data-scarce Eastern Mediterranean catchment A. Gunkel et al. 10.1016/j.ejrh.2015.08.002
105. Improvement of model evaluation by incorporating prediction and measurement uncertainty L. Chen et al. 10.5194/hess-22-4145-2018
106. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
107. The importance of hydrological uncertainty assessment methods in climate change impact studies M. Honti et al. 10.5194/hess-18-3301-2014
108. Water availability and response of Tarbela Reservoir under the changing climate in the Upper Indus Basin, Pakistan F. Khan 10.1038/s41598-022-20159-x
109. Hydrological similarity approach and rainfall satellite utilization for mini hydro power dam basic design (case study on the ungauged catchment at West Borneo, Indonesia) W. Prakoso et al. 10.1088/1755-1315/149/1/012039
110. Predicting streamflows in snowmelt-driven watersheds using the flow duration curve method D. Kim & J. Kaluarachchi 10.5194/hess-18-1679-2014
111. Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives M. Shafii & B. Tolson 10.1002/2014WR016520
112. Promising new baseflow separation and recession analysis methods applied to streamflow at Glendhu Catchment, New Zealand M. Stewart 10.5194/hess-19-2587-2015
113. Hydrograph and recession flows simulations using deep learning: Watershed uniqueness and objective functions A. Gupta & S. McKenna 10.1016/j.hydroa.2024.100198
114. Uncertainties in estimating spatial and interannual variations in precipitation climatology in the India–Tibet region from multiple gridded precipitation datasets J. Kim et al. 10.1002/joc.4306
115. Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. 10.5194/hess-22-5081-2018
116. Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models K. Beven & P. Smith 10.1061/(ASCE)HE.1943-5584.0000991
117. Spatio-temporal analysis of compound hydro-hazard extremes across the UK A. Visser-Quinn et al. 10.1016/j.advwatres.2019.05.019
118. Information content of snow hydrological signatures based on streamflow, precipitation and air temperature I. Horner et al. 10.1002/hyp.13762
119. A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework M. Shafii et al. 10.1002/2016WR019736
120. Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al. 10.5194/hess-26-3863-2022
121. Rating curve development and uncertainty analysis in mountainous watersheds for informed hydrology and resource management V. Kumar & S. Sen 10.3389/frwa.2023.1323139
122. Evaluating Operational Risk in Environmental Modeling: Assessment of Reliability and Sharpness for Ensemble Selection S. Pokorny et al. 10.1061/JHYEFF.HEENG-5833
123. Data errors and hydrological modelling: The role of model structure to propagate observation uncertainty A. Montanari & G. Di Baldassarre 10.1016/j.advwatres.2012.09.007
124. A methodology to estimate flow duration curves at partially ungauged basins E. Ridolfi et al. 10.5194/hess-24-2043-2020
125. Testing Soil Moisture Performance Measures in the Conceptual‐Functional Equivalent to the WRF‐Hydro National Water Model R. Araki et al. 10.1111/1752-1688.70002
126. Parsimonious streamflow forecasting system based on a dynamical systems approach Z. McEachran et al. 10.1016/j.jhydrol.2024.131776
127. The Role of Hydrological Signatures in Calibration of Conceptual Hydrological Model E. Melišová et al. 10.3390/w12123401
128. Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven 10.1016/j.jhydrol.2018.02.026
129. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
130. Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework J. Wong et al. 10.1002/esp.5140
131. On the colour and spin of epistemic error (and what we might do about it) K. Beven et al. 10.5194/hess-15-3123-2011
132. ASSESSMENT OF FAILURE ON DRAINAGE STRUCTURES ALONG THE ETHIOPIAN NATIONAL RAILWAY LINE OF SEBETA-MIESO (CASE STUDY OF AKAKI RIVER CROSSING DRAINAGE STRUCTURE) Y. Hirpessa & I. Hailu 10.29121/granthaalayah.v7.i9.2019.568
133. Estimation of instantaneous peak flows from maximum mean daily flows using the HBV hydrological model J. Ding et al. 10.1002/hyp.10725
134. Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al. 10.5194/gmd-12-2009-2019
135. Hydrologic Model Evaluation and Assessment of Projected Climate Change Impacts Using Bias-Corrected Stream Flows J. Daraio 10.3390/w12082312
136. Optimization of the SWAT+ model to adequately predict different segments of a managed streamflow hydrograph T. Tigabu et al. 10.1080/02626667.2024.2364714
137. Diagnostic Evaluation of Hydrologic Models Employing Flow Duration Curve V. Chilkoti et al. 10.1061/(ASCE)HE.1943-5584.0001778
138. Diagnostic calibration of a hydrological model in a mountain area by hydrograph partitioning Z. He et al. 10.5194/hess-19-1807-2015
139. Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau P. Bai et al. 10.1002/2016JD025501
140. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
141. Flow regime changes in the Lancang River, revealed by integrated modeling with multiple Earth observation datasets X. Zhang et al. 10.1016/j.scitotenv.2022.160656
142. Quantile hydrologic model selection and model structure deficiency assessment: 2. Applications S. Pande 10.1002/wrcr.20422
143. Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins M. Dal Molin et al. 10.1029/2022WR031929
144. Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method R. Alexander et al. 10.1029/2019WR025001
145. Informing hydrological models of poorly gauged river catchments – A parameter regionalization and calibration approach C. Kittel et al. 10.1016/j.jhydrol.2020.124999
146. Mitigating Prediction Error of Deep Learning Streamflow Models in Large Data‐Sparse Regions With Ensemble Modeling and Soft Data D. Feng et al. 10.1029/2021GL092999
147. Enhancing streamflow simulation using hybridized machine learning models in a semi-arid basin of the Chinese loess Plateau Q. Yu et al. 10.1016/j.jhydrol.2023.129115
148. Application-based evaluation of multi-basin hydrological models Y. Du et al. 10.1016/j.jhydrol.2024.131727
149. Signature‐Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties F. Fenicia et al. 10.1002/2017WR021616
150. Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
151. Exploring the hydrological robustness of model-parameter values with alpha shapes J. Guerrero et al. 10.1002/wrcr.20533
152. Simulation of green roof test bed runoff G. Krebs et al. 10.1002/hyp.10605
153. From threat to opportunity: Hydrologic uncertainty regionalization across large domains S. Pokorny et al. 10.1016/j.ejrh.2024.101819
154. The soil water characteristic as new class of closed-form parametric expressions for the flow duration curve M. Sadegh et al. 10.1016/j.jhydrol.2016.01.027
155. Confidence intervals of the Kling-Gupta efficiency J. Vrugt & D. de Oliveira 10.1016/j.jhydrol.2022.127968
156. Reconstructing pre-instrumental streamflow in Eastern Australia using a water balance approach C. Tozer et al. 10.1016/j.jhydrol.2018.01.064
157. Predicting the temporal transferability of model parameters through a hydrological signature analysis D. Jayathilake & T. Smith 10.1007/s11707-019-0755-y
158. Parsimonious rainfall-runoff model construction supported by time series processing and validation of hydrological extremes – Part 2: Intercomparison of models and calibration approaches P. Willems et al. 10.1016/j.jhydrol.2014.01.028
159. The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
160. Evaluation of different parameterizations of the spatial heterogeneity of subsurface storage capacity for hourly runoff simulation in boreal mountainous watershed T. Hailegeorgis et al. 10.1016/j.jhydrol.2014.12.061
161. 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
162. Cumulative Effects of Uncertainty on Simulated Streamflow in a Hydrologic Modeling Environment S. Pokorny et al. 10.1525/elementa.431
163. Evaluation of semi-distributed hydrological models performance in borkena watershed; upper awash basin, Ethiopia G. Alemu et al. 10.1016/j.heliyon.2023.e18030
164. Assessment of monthly to daily streamflow disaggregation methods: A case study of the Nile River Basin M. Elgendy et al. 10.1016/j.ejrh.2024.101969
165. Passive Microwave Radiometry at Different Frequency Bands for River Discharge Retrievals G. Brakenridge et al. 10.1029/2023EA002859
166. Performance of Two Hydrological Models in Predicting Daily Flow under a Climate Change Scenario for Mountainous Catchments in Northwestern Costa Rica C. Jiménez-Rodríguez  et al. 10.1659/MRD-JOURNAL-D-14-00109.1
167. Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows U. Haberlandt & I. Radtke 10.5194/hess-18-353-2014
168. Flood projections within the Niger River Basin under future land use and climate change V. Aich et al. 10.1016/j.scitotenv.2016.04.021
169. A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments Y. Zheng et al. 10.1029/2022WR033227
170. The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change? R. Nijzink et al. 10.5194/hess-20-4775-2016
171. Which objective function to calibrate rainfall–runoff models for low-flow index simulations? F. Garcia et al. 10.1080/02626667.2017.1308511
172. Diagnostic evaluation of multiple hypotheses of hydrological behaviour in a limits-of-acceptability framework for 24 UK catchments G. Coxon et al. 10.1002/hyp.10096
173. A web-based urban hydrology model for municipal scale applications M. Mohammad Zadeh et al. 10.1016/j.envsoft.2024.106096
174. A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin, East China S. Pan et al. 10.1080/02626667.2017.1388917
175. Can climate variability information constrain a hydrological model for an ungauged Costa Rican catchment? B. Quesada‐Montano et al. 10.1002/hyp.11460
176. Correcting bias in rainfall inputs to a semi-distributed hydrological model using downstream flow simulation errors D. Hughes & R. Gray 10.1080/02626667.2017.1391388
177. Rating curve uncertainty and change detection in discharge time series: case study with 44‐year historic data from the Nyangores River, Kenya J. Juston et al. 10.1002/hyp.9786
178. Smiling in the rain: Seven reasons to be positive about uncertainty in hydrological modelling J. Juston et al. 10.1002/hyp.9625
179. The long-term hydrology of East Africa’s water tower: statistical change detection in the watersheds of the Abbay Basin S. Gebrehiwot et al. 10.1007/s10113-013-0491-x
180. Calibration of a rainfall–runoff model at regional scale by optimising river discharge statistics: Performance analysis for the average/low flow regime L. Lombardi et al. 10.1016/j.pce.2011.05.013