308 citations as recorded by crossref.

1. Development of a regional model for catchment-scale suspended sediment yield estimation in ungauged rivers of the Lower Mekong Basin S. Heng & T. Suetsugi https://doi.org/10.1016/j.geoderma.2014.07.030
2. Affinity propagation approach for catchment classification applied to arid catchments A. Hidayatulloh et al. https://doi.org/10.1016/j.jafrearsci.2021.104374
3. Schneedaten aus der Fernerkundung in der hydrologischen Modellierung – Anwendungsbeispiele in Österreich J. Komma et al. https://doi.org/10.1007/s00506-015-0272-5
4. An Automatic Parameter Calibration Method for the TUW Model in Streamflow Modeling M. Yılmaz https://doi.org/10.21597/jist.1406563
5. CRDEMO: Combined regionalization and dual entropy-multiobjective optimization for hydrometric network design J. Samuel et al. https://doi.org/10.1002/2013WR014058
6. Revealing the positive influence of young water fractions derived from stable isotopes on the robustness of karst water resources predictions K. Çallı et al. https://doi.org/10.1016/j.jhydrol.2023.129549
7. Application of a Macroscale Hydrologic Model to Estimate Streamflow across Southeast Australia F. Zhao et al. https://doi.org/10.1175/JHM-D-11-0114.1
8. Modeling flash floods in ungauged mountain catchments of China: A decision tree learning approach for parameter regionalization S. Ragettli et al. https://doi.org/10.1016/j.jhydrol.2017.10.031
9. Improving the streamflow simulations of a data-poor mountainous watershed using parameter transfer based on similar land use and land cover M. Kavya et al. https://doi.org/10.1080/02626667.2026.2621070
10. A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. https://doi.org/10.1016/j.jhydrol.2013.04.022
11. Changes in the hydrological and sediment regimes of two neighboring catchments in the past sixty years Y. Zhao et al. https://doi.org/10.1016/j.catena.2023.107248
12. Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France) H. Sellami et al. https://doi.org/10.5194/hess-18-2393-2014
13. Application of the Regression-Augmented Regionalization Approach for BTOP Model in Ungauged Basins Y. Zhu et al. https://doi.org/10.3390/w13162294
14. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling H. Gupta et al. https://doi.org/10.1016/j.jhydrol.2009.08.003
15. Regionalization study of maximum daily temperature based on grid data by an objective hybrid clustering approach Y. Yu et al. https://doi.org/10.1016/j.jhydrol.2018.07.007
16. Watershed Sediment and Its Effect on Storage Capacity: Case Study of Dokan Dam Reservoir M. Ezz-Aldeen et al. https://doi.org/10.3390/w10070858
17. Hydrological modelling in a changing world M. Peel & G. Blöschl https://doi.org/10.1177/0309133311402550
18. Regional water balance modelling using flow-duration curves with observational uncertainties I. Westerberg et al. https://doi.org/10.5194/hess-18-2993-2014
19. Hydrological simulation and evaluation of drought conditions in the ungauged watershed Parishan lake Iran, using the SWAT model S. Ansarifard et al. https://doi.org/10.2166/wcc.2024.268
20. Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale L. Samaniego et al. https://doi.org/10.1029/2008WR007327
21. Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions M. Alipour & K. Kibler https://doi.org/10.1080/02626667.2019.1626991
22. Effect of spatial resolution on regionalization of hydrological model parameters S. Singh et al. https://doi.org/10.1002/hyp.8424
23. Regionalisierung hydrologischer Modelle mit Function Space Optimization M. Feigl et al. https://doi.org/10.1007/s00506-021-00766-0
24. A framework estimating cumulative impact of damming on downstream water availability Y. Zhang et al. https://doi.org/10.1016/j.jhydrol.2019.05.061
25. The Watershed Flow and Allocation Model: An NHDPlus‐Based Watershed Modeling Approach for Multiple Scales and Conditions M. Eddy et al. https://doi.org/10.1111/1752-1688.12496
26. Integration of evolutionary based assimilation into Kalman-type methods for streamflow simulations in ungauged watersheds G. Dumedah & P. Coulibaly https://doi.org/10.1016/j.jhydrol.2012.10.033
27. Essential Terrestrial Variable data workflows for distributed water resources modeling L. Leonard & C. Duffy https://doi.org/10.1016/j.envsoft.2013.09.003
28. Hydrological Interpretation of a Statistical Measure of Basin Complexity S. Pande & M. Moayeri https://doi.org/10.1029/2018WR022675
29. Challenges of modelling climate change impacts on hydrology and water resources: AI is the game changer—a review C. Onyutha https://doi.org/10.1088/2752-5295/ae2a60
30. Dam Effects on Spatial Extension of Flood Discharge Data and Flood Reduction Scale I N. Kim et al. https://doi.org/10.3741/JKWRA.2015.48.3.209
31. Sediment load estimation using a novel regionalization sediment-response similarity method for ungauged catchments R. Ang et al. https://doi.org/10.1016/j.jhydrol.2023.129198
32. Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions Z. Bao et al. https://doi.org/10.1016/j.jhydrol.2012.07.048
33. On the development of regionalization relationships for lumped watershed models: The impact of ignoring sub-basin scale variability H. Kling & H. Gupta https://doi.org/10.1016/j.jhydrol.2009.04.031
34. Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan D. Bocchiola et al. https://doi.org/10.5194/hess-15-2059-2011
35. Regional Parameter Estimation of the SWAT Model: Methodology and Application to River Basins in the Peruvian Pacific Drainage F. Asurza-Véliz & W. Lavado-Casimiro https://doi.org/10.3390/w12113198
36. Towards improved parameterization of a macroscale hydrologic model in a discontinuous permafrost boreal forest ecosystem A. Endalamaw et al. https://doi.org/10.5194/hess-21-4663-2017
37. Estimating the Routing Parameter of the Xin’anjiang Hydrological Model Based on Remote Sensing Data and Machine Learning Y. Fang et al. https://doi.org/10.3390/rs14184609
38. Monthly Water Balance of Ungauged Watersheds Using Empirical and Conceptual Models: A Case Study of the Semiarid Mountainous Watersheds, Southwest of Saudi Arabia A. Ghanim https://doi.org/10.3390/su15118728
39. Comparing spatial and temporal transferability of hydrological model parameters S. Patil & M. Stieglitz https://doi.org/10.1016/j.jhydrol.2015.04.003
40. Flow dynamics at the continental scale: Streamflow correlation and hydrological similarity A. Betterle et al. https://doi.org/10.1002/hyp.13350
41. Selecting hydrological models for developing countries: Perspective of global, continental, and country scale models over catchment scale models P. Paul et al. https://doi.org/10.1016/j.jhydrol.2021.126561
42. Regionalization study of a conceptual hydrological model in Dongjiang basin, south China X. Jin et al. https://doi.org/10.1016/j.quaint.2008.08.006
43. Understanding meteorological and physio-geographical controls of variability of flood event classes in headstream catchments of China Y. Zhang et al. https://doi.org/10.5194/hess-29-3257-2025
44. Catchment Classification and Hydrologic Similarity T. Wagener et al. https://doi.org/10.1111/j.1749-8198.2007.00039.x
45. Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland – Part II: Parameter regionalisation and flood estimation results D. Viviroli et al. https://doi.org/10.1016/j.jhydrol.2009.08.022
46. Investigating regionalization techniques for large-scale hydrological modelling L. Pagliero et al. https://doi.org/10.1016/j.jhydrol.2018.12.071
47. The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. https://doi.org/10.1016/j.envsoft.2022.105562
48. Continuous streamflow simulation for index flood estimation in an Alpine basin of northern Italy G. Ravazzani et al. https://doi.org/10.1080/02626667.2014.916405
49. Identification and mapping of surface irrigation potential in the data-scarce Jewuha watershed, Middle Awash River Basin, Ethiopia M. Dinku & H. Kebede https://doi.org/10.2166/nh.2023.082
50. Comparative predictions of discharge from an artificial catchment (Chicken Creek) using sparse data H. Holländer et al. https://doi.org/10.5194/hess-13-2069-2009
51. Habitat modeling in high‐gradient streams: the mesoscale approach and application P. Vezza et al. https://doi.org/10.1890/11-2066.1
52. Combination of lumped hydrological and remote-sensing models to evaluate water resources in a semi-arid high altitude ungauged watershed of Sierra Nevada (Southern Spain) J. Jódar et al. https://doi.org/10.1016/j.scitotenv.2017.12.300
53. Factors controlling alterations in the performance of a runoff model in changing climate conditions P. Sleziak et al. https://doi.org/10.2478/johh-2018-0031
54. Estimating the optimal width of buffer strip for nonpoint source pollution control in the Three Gorges Reservoir Area, China N. Shan et al. https://doi.org/10.1016/j.ecolmodel.2013.12.019
55. Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. https://doi.org/10.5194/hess-18-463-2014
56. Using spot flow measurements in a regionalized hydrological model to improve the low flow statistical estimations of rivers: The case of Réunion Island N. Folton https://doi.org/10.1016/j.ejrh.2024.101730
57. A Hydrological Modeling Approach for Assessing the Impacts of Climate Change on Runoff Regimes in Slovakia P. Sleziak et al. https://doi.org/10.3390/w13233358
58. Auswirkungen des Klimawandels auf das Wasserdargebot von Grund- und Oberflächenwasser A. Blaschke et al. https://doi.org/10.1007/s00506-010-0273-3
59. Ensemble hydrological forecasts for reservoir management of the Shipshaw River catchment using limited data E. Reig et al. https://doi.org/10.1080/07011784.2020.1834880
60. Estimating degree-day factors from MODIS for snowmelt runoff modeling Z. He et al. https://doi.org/10.5194/hess-18-4773-2014
61. Geostatistics for automatic estimation of environmental variables—some simple solutions J. Sk⊘ien et al. https://doi.org/10.1080/17499510802086769
62. Assessment of SWAT spatial and temporal transferability for a high-altitude glacierized catchment M. Andrianaki et al. https://doi.org/10.5194/hess-23-3219-2019
63. Scaling of slope, upslope area, and soil water deficit: Implications for transferability and regionalization in topographic index modeling N. Pradhan et al. https://doi.org/10.1029/2007WR006667
64. Coupled runoff-sediment responses to conservation-based water supply management intervention in the Legedadie–Dire catchments in central Ethiopia: an investigation using SWAT hydrological model Y. Anteneh et al. https://doi.org/10.1007/s40899-022-00811-0
65. Comparative assessment of predictions in ungauged basins – Part 3: Runoff signatures in Austria A. Viglione et al. https://doi.org/10.5194/hess-17-2263-2013
66. Explicit simulations of stream networks to guide hydrological modelling in ungauged basins S. Stoll & M. Weiler https://doi.org/10.5194/hess-14-1435-2010
67. Spatial Extension of Runoff Data in the Applications of a Lumped Concept Model N. Kim et al. https://doi.org/10.3741/JKWRA.2013.46.9.921
68. Dependence of rainfall-runoff model transferability on climate conditions in Iran A. Jahanshahi et al. https://doi.org/10.1080/02626667.2022.2030867
69. The assessment of water resources in ungauged catchments in Rwanda O. Abimbola et al. https://doi.org/10.1016/j.ejrh.2017.09.001
70. Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil L. Kuana et al. https://doi.org/10.5194/hess-28-3367-2024
71. Evaluation of Regionalization Methods for Hourly Continuous Streamflow Simulation Using Distributed Models in Boreal Catchments T. Hailegeorgis et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001218
72. Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations R. Kumar et al. https://doi.org/10.1029/2012WR012195
73. Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment L. Leonard & C. Duffy https://doi.org/10.1016/j.envsoft.2016.01.001
74. Regionalization of hydrological model parameters for the semi-arid region of the northeast Brazil M. Virães & J. Cirilo https://doi.org/10.1590/2318-0331.241920180114
75. Application of a newly developed large‐scale conceptual hydrological model in simulating streamflow for credibility testing in data scarce condition P. Paul et al. https://doi.org/10.1111/nrm.12283
76. A methodology for determining runoff based on imperviousness in an ungauged peri-urban catchment S. Sahoo & P. Sreeja https://doi.org/10.1080/1573062X.2013.765491
77. Regionalization of flow duration curves for catchments in southern India using a hierarchical cluster approach C. Hiremath & L. Nandagiri https://doi.org/10.2166/wcc.2023.467
78. Regionalization of land‐use impacts on streamflow using a network of paired catchments B. Ochoa‐Tocachi et al. https://doi.org/10.1002/2016WR018596
79. Discrete parameterization of hydrological models: Evaluating the use of parameter sets libraries over 900 catchments C. Perrin et al. https://doi.org/10.1029/2007WR006579
80. Rainfall–runoff modelling in northern Australia: A guide to modelling strategies in the tropics C. Petheram et al. https://doi.org/10.1016/j.jhydrol.2011.12.046
81. In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. https://doi.org/10.1029/2018WR024178
82. A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model A. de Lavenne et al. https://doi.org/10.1029/2018WR024266
83. Using a regionalisation approach to evaluate streamflow simulated by an ecohydrological model calibrated with global land surface evaporation from remote sensing A. Odusanya et al. https://doi.org/10.1016/j.ejrh.2022.101042
84. Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model R. Lane et al. https://doi.org/10.1029/2020WR028393
85. Enhancing spatial specification of runoff through a performance-informed multivariate weighting framework M. Jeong & J. Kim https://doi.org/10.1007/s00477-026-03174-6
86. Improving the flood forecasting capability of the Xinanjiang model for small- and medium-sized ungauged catchments in South China J. Gong et al. https://doi.org/10.1007/s11069-021-04531-0
87. Exemplifying the Effects Using WetSpass Model Depicting the Landscape Modifications on Long‐Term Surface and Subsurface Hydrological Water Balance in Bilate Basin, Ethiopia A. Nannawo et al. https://doi.org/10.1155/2021/7283002
88. Distributed hydrological model transferability across basins with different hydro‐climatic characteristics P. Hunukumbura et al. https://doi.org/10.1002/hyp.8294
89. Using supervised machine learning for regional hydrological hazard estimation in metropolitan France Q. Ding & P. Arnaud https://doi.org/10.1016/j.ejrh.2024.101872
90. Possible change in Korean streamflow seasonality based on multi‐model climate projections I. Jung et al. https://doi.org/10.1002/hyp.9215
91. Intensified hydroclimatic regime in Korean basins under 1.5 and 2°C global warming J. Kim et al. https://doi.org/10.1002/joc.6311
92. Runoff Induced Soil Erosion and its Impact on the Quality of Water for Upper-Patiala-Ki-Rao Catchment Lying on Shivalik Hills S. Walia et al. https://doi.org/10.1007/s12594-020-1447-7
93. Identifying Conservation Priority Areas of Hydrological Ecosystem Service Using Hot and Cold Spot Analysis at Watershed Scale S. Gwal et al. https://doi.org/10.3390/rs16183409
94. Regionalization of runoff models derived by genetic programming M. Heřmanovský et al. https://doi.org/10.1016/j.jhydrol.2017.02.018
95. Toward computationally efficient large-scale hydrologic predictions with a multiscale regionalization scheme R. Kumar et al. https://doi.org/10.1002/wrcr.20431
96. Parameter dimensionality reduction of a conceptual model for streamflow prediction in Canadian, snowmelt dominated ungauged basins R. Arsenault et al. https://doi.org/10.1016/j.advwatres.2015.08.014
97. 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. https://doi.org/10.5194/hess-24-1319-2020
98. Assessment of dimension-reduction and grouping methods for catchment response time estimation in Hungary E. Nagy et al. https://doi.org/10.1016/j.ejrh.2021.100971
99. Consistent relationships between model parameters and catchment attributes for multiple water balance models: a regionalization framework A. Saleh et al. https://doi.org/10.1080/02626667.2026.2715103
100. Spatially Distributed Conceptual Hydrological Model Building: A Generic Top‐Down Approach Starting From Lumped Models Q. Tran et al. https://doi.org/10.1029/2018WR023566
101. Modelling daily streamflow at ungauged catchments: what information is necessary? S. Patil & M. Stieglitz https://doi.org/10.1002/hyp.9660
102. Towards a publicly available, map-based regional software tool to estimate unregulated daily streamflow at ungauged rivers S. Archfield et al. https://doi.org/10.5194/gmd-6-101-2013
103. Application of Monte Carlo simulation technique for flood estimation for two catchments in New South Wales, Australia W. Caballero & A. Rahman https://doi.org/10.1007/s11069-014-1251-z
104. A comparison of three approaches to spatial generalization of rainfall–runoff models A. Kay et al. https://doi.org/10.1002/hyp.6550
105. Daily Continuous River Discharge Estimation for Ungauged Basins Using a Hydrologic Model Calibrated by Satellite Altimetry: Implications for the SWOT Mission Q. Huang et al. https://doi.org/10.1029/2020WR027309
106. Impact of modellers' decisions on hydrological a priori predictions H. Holländer et al. https://doi.org/10.5194/hess-18-2065-2014
107. A comparison of regionalization methods in monsoon dominated tropical river basins P. Soni et al. https://doi.org/10.2166/wcc.2021.298
108. Spatially distributed calibration of a hydrological model with variational optimization constrained by physiographic maps for flash flood forecasting in France M. Jay-Allemand et al. https://doi.org/10.5194/piahs-385-281-2024
109. Global‐scale regionalization of hydrologic model parameters H. Beck et al. https://doi.org/10.1002/2015WR018247
110. Spatial distribution of groundwater recharge, based on regionalised soil moisture models in Wadi Natuf karst aquifers, Palestine C. Messerschmid & A. Aliewi https://doi.org/10.5194/hess-26-1043-2022
111. Hydrological Modeling in a Changing Environment: Issues and Challenges 崇. 许 https://doi.org/10.12677/JWRR.2013.22013
112. Groundwater and Surface Water Interaction at the Regional-scale – A Review with Focus on Regional Integrated Models R. Barthel & S. Banzhaf https://doi.org/10.1007/s11269-015-1163-z
113. Time stability of catchment model parameters: Implications for climate impact analyses R. Merz et al. https://doi.org/10.1029/2010WR009505
114. Repeating patterns in runoff time series: A basis for exploring hydrologic similarity of precipitation and catchment wetness conditions A. Hövel et al. https://doi.org/10.1016/j.jhydrol.2023.130585
115. Comparative assessment of predictions in ungauged basins – Part 1: Runoff-hydrograph studies J. Parajka et al. https://doi.org/10.5194/hess-17-1783-2013
116. Fuels treatment and wildfire effects on runoff from Sierra Nevada mixed‐conifer forests P. Saksa et al. https://doi.org/10.1002/eco.2151
117. Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model M. Kubáň et al. https://doi.org/10.3390/w13233366
118. Streamflow regionalization using a similarity approach in ungauged basins: Application of the geo-environmental signatures in the Karkheh River Basin, Iran B. Choubin et al. https://doi.org/10.1016/j.catena.2019.104128
119. Nested Cross-Validation for HBV Conceptual Rainfall–Runoff Model Spatial Stability Analysis in a Semi-Arid Context M. El Garnaoui et al. https://doi.org/10.3390/rs16203756
120. Assessment of the indirect calibration of a rainfall-runoff model for ungauged catchments in Flanders N. De Vleeschouwer & V. Pauwels https://doi.org/10.5194/hess-17-2001-2013
121. The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites R. Tong et al. https://doi.org/10.5194/hess-26-1779-2022
122. 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. https://doi.org/10.1016/j.pce.2011.05.013
123. A scenario-based analysis of selected best management practices for reduced sediment and nutrient yield in the watershed located in the Shivalik hills, India S. Walia et al. https://doi.org/10.2166/h2oj.2023.033
124. Investigating the role of geology in the hydrological response of Mediterranean catchments prone to flash-floods: Regional modelling study and process understanding O. Vannier et al. https://doi.org/10.1016/j.jhydrol.2016.04.001
125. The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models J. Parajka & G. Blöschl https://doi.org/10.1016/j.jhydrol.2008.06.006
126. Use of Cokriging and Map Correlation to Study Hydrological Response Patterns and Select Reference Stream Gauges for Ungauged Catchments M. Zelelew & K. Alfredsen https://doi.org/10.1061/(ASCE)HE.1943-5584.0000803
127. Development of Geomorphology Based Regional Nash Model for Data Scares Central India Region R. Jaiswal et al. https://doi.org/10.1007/s11269-013-0486-x
128. Enhanced low flow prediction for water and environmental management S. Aryal et al. https://doi.org/10.1016/j.jhydrol.2020.124658
129. Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. https://doi.org/10.1029/2020WR027948
130. Application of Xin'anjiang Model in the flow prediction of ungauged small- and medium-sized catchments in the middle and lower reaches of the Yangtze River Basin G. Junfu et al. https://doi.org/10.18307/2021.0223
131. Towards seamless large‐domain parameter estimation for hydrologic models N. Mizukami et al. https://doi.org/10.1002/2017WR020401
132. Can a Calibration-Free Dynamic Rainfall‒Runoff Model Predict FDCs in Data-Scarce Regions? Comparing the IDW Model with the Dynamic Budyko Model in South India A. Nag & B. Biswal https://doi.org/10.3390/hydrology6020032
133. Calibration of rainfall-runoff models in ungauged basins: A regional maximum likelihood approach S. Castiglioni et al. https://doi.org/10.1016/j.advwatres.2010.04.009
134. The concept of dual‐boundary forcing in land surface‐subsurface interactions of the terrestrial hydrologic and energy cycles M. Rahman et al. https://doi.org/10.1002/2014WR015738
135. Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review Y. Guo et al. https://doi.org/10.1002/wat2.1487
136. Time Series Features for Supporting Hydrometeorological Explorations and Predictions in Ungauged Locations Using Large Datasets G. Papacharalampous & H. Tyralis https://doi.org/10.3390/w14101657
137. Hydrological ensemble forecasting at ungauged basins: using neighbour catchments for model setup and updating A. Randrianasolo et al. https://doi.org/10.5194/adgeo-29-1-2011
138. Assessment of Continuous Simulations of Rainfall Runoff Models Based on Soil Moisture Accounting Models at Guem River Catchments, Korea H. Chang & H. Lee https://doi.org/10.9798/KOSHAM.2015.15.4.231
139. Calibration of hydrological model parameters for ungauged catchments A. Bárdossy https://doi.org/10.5194/hess-11-703-2007
140. A regionalization method based on a cluster probability model P. Cowpertwait https://doi.org/10.1029/2011WR011084
141. A review of regionalisation for continuous streamflow simulation Y. He et al. https://doi.org/10.5194/hess-15-3539-2011
142. Multi-model averaging for continuous streamflow prediction in ungauged basins R. Arsenault & F. Brissette https://doi.org/10.1080/02626667.2015.1117088
143. Rainfall–runoff prediction in an ungauged catchment using an integrated HEC-HMS and machine learning framework M. Djendli et al. https://doi.org/10.1007/s11600-026-02029-6
144. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain G. Coxon et al. https://doi.org/10.5194/essd-12-2459-2020
145. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. https://doi.org/10.1080/02626667.2013.803183
146. Comparison of Flood Frequency Analysis Methods for Ungauged Catchments in France J. Odry & P. Arnaud https://doi.org/10.3390/geosciences7030088
147. Regionalization in global hydrological models and its impact on runoff simulations: a case study using WaterGAP3 (v 1.0.0) J. Kupzig et al. https://doi.org/10.5194/gmd-17-6819-2024
148. Terrain Controls on the Portability of Rainfall Prediction Models: A Framework for Transferability and Adaptability Across Tropical and Temperate Climates O. Ejike et al. https://doi.org/10.3390/forecast8040069
149. Bestimmung des Schneevorrates in Einzugsgebieten mittels Fernerkundungsmethoden J. Parajka et al. https://doi.org/10.1007/s00506-009-0115-3
150. Importance of the informative content in the study area when regionalising rainfall-runoff model parameters: the role of nested catchments and gauging station density M. Neri et al. https://doi.org/10.5194/hess-24-5149-2020
151. Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. https://doi.org/10.1007/s00477-018-1523-3
152. The selection of paired watersheds affects the assessment of wildfire hydrological impacts M. Nigro et al. https://doi.org/10.1016/j.scitotenv.2024.173488
153. Enhancing hydrological modeling of ungauged watersheds through machine learning and physical similarity-based regionalization of calibration parameters A. Bawa et al. https://doi.org/10.1016/j.envsoft.2025.106335
154. Evaluation of temporal fusion transformers for streamflow forecasting: effects of input configuration and cross-basin performance M. Mohan et al. https://doi.org/10.1080/02626667.2026.2736761
155. Runoff predictions in ungauged catchments in southeast Tibetan Plateau F. Li et al. https://doi.org/10.1016/j.jhydrol.2014.01.014
156. Have applications of continuous rainfall–runoff simulation realized the vision for process‐based flood frequency analysis? R. Lamb et al. https://doi.org/10.1002/hyp.10882
157. Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. https://doi.org/10.1002/met.2192
158. Scale effects in conceptual hydrological modeling R. Merz et al. https://doi.org/10.1029/2009WR007872
159. An experiment to gauge an ungauged catchment: rapid data assessment and eco-hydrological modelling in a data-scarce rural catchment C. Jackisch et al. https://doi.org/10.1080/02626667.2013.870662
160. Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments – A comparative hydrology approach R. Singh et al. https://doi.org/10.1016/j.jhydrol.2014.06.030
161. Hydrologically guided transfer learning for ungauged basin prediction: similarity-based adaptation and interpretation of runoff generation mechanisms J. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135872
162. Similarity of catchment dynamics based on the interaction between streamflow and forcing time series: Use of a transfer entropy signature M. Neri et al. https://doi.org/10.1016/j.jhydrol.2022.128555
163. Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models R. Arsenault et al. https://doi.org/10.5194/hess-27-139-2023
164. A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France) O. Laganier et al. https://doi.org/10.5194/nhess-14-2899-2014
165. A regional model-based algorithm to simulate root zone soil moisture with multi-source datasets Y. Liu et al. https://doi.org/10.1016/j.agwat.2025.109803
166. Corruption of parameter behavior and regionalization by model and forcing data errors: A Bayesian example using the SNOW17 model M. He et al. https://doi.org/10.1029/2010WR009753
167. Review and Assessment of Interaction between Watershed Hydrology and Society System 生. 郭 https://doi.org/10.12677/JWRR.2016.51001
168. Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters F. Avanzi et al. https://doi.org/10.1016/j.jhydrol.2019.124478
169. Quantifying impacts of precipitation and evapotranspiration on future runoff in the Han River basin using the Budyko framework D. Hong et al. https://doi.org/10.1016/j.kscej.2025.100460
170. Prediction at Ungauged Catchments through Parameter Optimization and Uncertainty Estimation to Quantify the Regional Water Balance of the Ethiopian Rift Valley Lake Basin T. Abraham et al. https://doi.org/10.3390/hydrology9080150
171. Estimating root zone soil moisture using the SMAR model and regression method at a headwater catchment with complex terrain Y. Qi et al. https://doi.org/10.1016/j.geoderma.2024.117144
172. Comparison of regionalization approaches in parameterizing sediment rating curve in ungauged catchments for subsequent instantaneous sediment yield prediction S. Heng & T. Suetsugi https://doi.org/10.1016/j.jhydrol.2014.03.003
173. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations G. Coxon et al. https://doi.org/10.1002/2014WR016532
174. Hydrological similarity of catchments in the southern area of Colombian Andean region G. Carrillo-Soto et al. https://doi.org/10.1088/1742-6596/1388/1/012042
175. Climate and landscape jointly control European streamflow behaviour J. Rudlang et al. https://doi.org/10.5194/hess-30-4481-2026
176. Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland – Part I: Modelling framework and calibration results D. Viviroli et al. https://doi.org/10.1016/j.jhydrol.2009.08.023
177. Controls on hydrologic similarity: role of nearby gauged catchments for prediction at an ungauged catchment S. Patil & M. Stieglitz https://doi.org/10.5194/hess-16-551-2012
178. Combining regression and spatial proximity for catchment model regionalization: a comparative study S. Steinschneider et al. https://doi.org/10.1080/02626667.2014.899701
179. Combining a rainfall–runoff model and a regionalization approach for flood and water resource assessment in the western Po Valley, Italy A. Cislaghi et al. https://doi.org/10.1080/02626667.2019.1690656
180. MHiDROC3: A Distributed Hydrological Modeling Framework for Streamflow Simulation Across Contrasting Watersheds in Chile E. Duarte et al. https://doi.org/10.3390/hydrology13090231
181. Application of Artificial Intelligence in Hydrological Modeling for Streamflow Prediction in Ungauged Watersheds: A Review J. Gacu et al. https://doi.org/10.3390/w17182722
182. The role of station density for predicting daily runoff by top-kriging interpolation in Austria J. Parajka et al. https://doi.org/10.1515/johh-2015-0024
183. Spatiotemporal topological kriging of runoff time series J. Skøien & G. Blöschl https://doi.org/10.1029/2006WR005760
184. Streamflow Prediction in Ungauged Basins: Review of Regionalization Methods T. Razavi & P. Coulibaly https://doi.org/10.1061/(ASCE)HE.1943-5584.0000690
185. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. https://doi.org/10.1029/2020WR027385
186. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al. https://doi.org/10.1002/2016WR019574
187. Comparing flow duration curve and rainfall–runoff modelling for predicting daily runoff in ungauged catchments Y. Zhang et al. https://doi.org/10.1016/j.jhydrol.2015.03.043
188. Deep Learning for Streamflow Regionalization for Ungauged Basins: Application of Long-Short-Term-Memory Cells in Semiarid Regions F. Nogueira Filho et al. https://doi.org/10.3390/w14091318
189. Geostatistical modeling and traditional approaches for streamflow regionalization in a Brazilian Southeast watershed R. Ferreira et al. https://doi.org/10.1016/j.jsames.2021.103355
190. Selection of catchment descriptors for the physical similarity approach. Part II: Application M. HEŘMANOVSKÝ & P. PECH https://doi.org/10.17221/23/2012-SWR
191. Modeling and Assessing Surface Water Potential Using Combined SWAT Model and Spatial Proximity Regionalization Technique for Ungauged Subwatershed of Jewuha Watershed, Awash Basin, Ethiopia M. Beza et al. https://doi.org/10.1155/2023/9972801
192. Regionalization of hydrologic response in the Great Lakes basin: Considerations of temporal scales of analysis J. Kult et al. https://doi.org/10.1016/j.jhydrol.2014.09.083
193. Impact of karst areas on runoff generation, lateral flow and interbasin groundwater flow at the storm-event timescale M. Le Mesnil et al. https://doi.org/10.5194/hess-25-1259-2021
194. Evaluation of streamflow estimates for the Rovuma River M. Minihane https://doi.org/10.1016/j.pce.2012.09.003
195. 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. https://doi.org/10.5194/hess-24-1031-2020
196. Prediction of FDCs for ungauged basins: a comparative analysis of emerging and traditional regional approaches H. Sajjad et al. https://doi.org/10.2166/h2oj.2025.056
197. Calibration of the semi-distributed PDM rainfall–runoff model in the Upper Lee catchment, UK I. Pechlivanidis et al. https://doi.org/10.1016/j.jhydrol.2010.03.022
198. Multi-Dimensional Evaluation of Simulated Small-Scale Irrigation Intervention: A Case Study in Dimbasinia Watershed, Ghana A. Worqlul et al. https://doi.org/10.3390/su10051531
199. Predictions in ungauged basins: an approach for regionalization of hydrological models considering the probability distribution of model parameters P. Athira et al. https://doi.org/10.1007/s00477-015-1190-6
200. Spatial and temporal variability of the rainfall erosivity factor in Northern Algeria M. Meddi et al. https://doi.org/10.1007/s12517-015-2303-8
201. A regional parameter estimation scheme for a pan-European multi-basin model Y. Hundecha et al. https://doi.org/10.1016/j.ejrh.2016.04.002
202. Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA K. Sawicz et al. https://doi.org/10.5194/hess-15-2895-2011
203. Assessing the implications of water harvesting intensification on upstream–downstream ecosystem services: A case study in the Lake Tana basin Y. Dile et al. https://doi.org/10.1016/j.scitotenv.2015.10.065
204. Comparing spatial and temporal scales of hydrologic model parameter transfer: A guide to four climates of Iran A. Jahanshahi et al. https://doi.org/10.1016/j.jhydrol.2021.127099
205. Flood‐type classification in mountainous catchments using crisp and fuzzy decision trees A. Sikorska et al. https://doi.org/10.1002/2015WR017326
206. The effect of the snow weighting on the temporal stability of hydrologic model efficiency and parameters P. Sleziak et al. https://doi.org/10.1016/j.jhydrol.2020.124639
207. Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration? Y. Zhang et al. https://doi.org/10.1029/2019WR026236
208. Revisit hydrological modeling in ungauged catchments comparing regionalization, satellite observations, and machine learning approaches R. Dasgupta et al. https://doi.org/10.1016/j.hydres.2023.11.001
209. Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins D. Norbiato et al. https://doi.org/10.1016/j.jhydrol.2008.08.023
210. Parameter transferability within homogeneous regions and comparisons with predictions from a priori parameters in the eastern United States W. Chouaib et al. https://doi.org/10.1016/j.jhydrol.2018.03.018
211. A conceptual framework for scaling up emergent predictions from mechanistic individual-based models H. Gold et al. https://doi.org/10.3897/ibe.2.163207
212. SWAT Machine Learning-Integrated Modeling for Ranking Watershed Vulnerability to Climate Variability and Land-Use Change in Alabama, USA, in 1990–2023 R. Arefin et al. https://doi.org/10.3390/environments12100395
213. Regionalization of hydrological model parameters using gradient boosting machine Z. Song et al. https://doi.org/10.5194/hess-26-505-2022
214. Runoff Model Calibration and Regionalization to a Disturbed Basin Under Various Potential Evapotranspiration Estimation Methods Y. Choi & S. Choi https://doi.org/10.9798/KOSHAM.2025.25.6.439
215. Evaluating Regional and Global Hydrological Models against Streamflow and Evapotranspiration Measurements Y. Zhang et al. https://doi.org/10.1175/JHM-D-15-0107.1
216. A comparative assessment of a hybrid approach against conventional and machine-learning daily streamflow prediction in ungauged basins S. Lee & D. Kim https://doi.org/10.1016/j.ejrh.2025.102854
217. Long-Term Assessment of Climate Change Impacts on Tennessee Valley Authority Reservoir Operations: Norris Dam J. Rungee & U. Kim https://doi.org/10.3390/w9090649
218. Quantifying space-time dynamics of flood event types A. Viglione et al. https://doi.org/10.1016/j.jhydrol.2010.05.041
219. Hydrological Modeling and Runoff Mitigation in an Ungauged Basin of Central Vietnam Using SWAT Model A. Rafiei Emam et al. https://doi.org/10.3390/hydrology4010016
220. Transferability of hydrological model parameter spaces in the estimation of runoff in ungauged catchments M. Zelelew & K. Alfredsen https://doi.org/10.1080/02626667.2013.838003
221. Estimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method F. Chiew et al. https://doi.org/10.1029/2008WR007338
222. Parameter regionalization for a process-oriented distributed model dedicated to flash floods P. Garambois et al. https://doi.org/10.1016/j.jhydrol.2015.03.052
223. Parameterization of a Hydrological Model for a Large, Ungauged Urban Catchment G. Krebs et al. https://doi.org/10.3390/w8100443
224. Hydrological Similarity-Based Parameter Regionalization under Different Climate and Underlying Surfaces in Ungauged Basins H. Wang et al. https://doi.org/10.3390/w13182508
225. Improved regionalization of streamflow by use of the streamflow equivalent of precipitation as an explanatory variable F. Pruski et al. https://doi.org/10.1016/j.jhydrol.2012.10.005
226. Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. https://doi.org/10.1016/j.scitotenv.2023.166617
227. Regional calibration of catchment models: Potential for ungauged catchments J. Parajka et al. https://doi.org/10.1029/2006WR005271
228. The site dynamics of Corrigiola litoralis (Strapwort) on the Elbe River in Czechia: A combined hydrological and hydrodynamic approach V. Havlíček et al. https://doi.org/10.1002/eco.2586
229. Regional Calibration of SCS-CN L-THIA Model: Application for Ungauged Basins J. Jeon et al. https://doi.org/10.3390/w6051339
230. Soil moisture updating by Ensemble Kalman Filtering in real-time flood forecasting J. Komma et al. https://doi.org/10.1016/j.jhydrol.2008.05.020
231. Assessment of streamflow in ungauged basin by using physical similarity approach S. Barbhuiya et al. https://doi.org/10.1007/s12517-023-11786-3
232. Global patterns in base flow index and recession based on streamflow observations from 3394 catchments H. Beck et al. https://doi.org/10.1002/2013WR013918
233. Assessing a Regression-Based Regionalization Approach to Ungauged Sites with Various Hydrologic Models in a Forested Catchment in the Northeastern United States G. Clark et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001582
234. Analysis of continuous streamflow regionalization methods within a virtual setting R. Arsenault & F. Brissette https://doi.org/10.1080/02626667.2016.1154557
235. Watershed-scale assessment of oil palm cultivation impact on water quality and nutrient fluxes: a case study in Sumatra (Indonesia) I. Comte et al. https://doi.org/10.1007/s11356-015-4359-0
236. Streamflow prediction in ungauged basins: analysis of regionalization methods in a hydrologically heterogeneous region of Mexico R. Arsenault et al. https://doi.org/10.1080/02626667.2019.1639716
237. Recession flow prediction in gauged and ungauged basins by just considering past discharge information C. Reddyvaraprasad et al. https://doi.org/10.1080/02626667.2019.1643465
238. Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland A. Argentin et al. https://doi.org/10.5194/hess-29-1725-2025
239. Regional runoff prediction through aggregation of first-order hydrological process knowledge: a case study R. VAN DEN BOS et al. https://doi.org/10.1623/hysj.51.6.1021
240. Large-Scale Hydrological Simulations Using the Soil Water Assessment Tool, Protocol Development, and Application in the Danube Basin L. Pagliero et al. https://doi.org/10.2134/jeq2011.0359
241. A Framework to Regionalize Flow Information in a Catchment with Limited Hydrological Data M. Angalika et al. https://doi.org/10.4236/ojmh.2023.131002
242. On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al. https://doi.org/10.5194/hess-25-5805-2021
243. Streamflow regionalisation of an ungauged catchment with machine learning approaches L. Singh et al. https://doi.org/10.1080/02626667.2022.2049271
244. The assessment of spatial and temporal transferability of a physically based distributed hydrological model parameters in different physiographic regions of Nepal S. Shrestha et al. https://doi.org/10.1016/j.jhydrol.2007.09.016
245. Diagnostic calibration and cross‐catchment transferability of a simple process‐consistent hydrologic model T. Smith et al. https://doi.org/10.1002/hyp.10955
246. Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters M. Saadi et al. https://doi.org/10.3390/w11081540
247. Evaluating multiple performance criteria to calibrate the distributed hydrological model of the upper Neckar catchment T. Wöhling et al. https://doi.org/10.1007/s12665-013-2306-2
248. Predicting Surface Runoff from Catchment to Large Region H. Li et al. https://doi.org/10.1155/2015/720967
249. Estimation of instantaneous peak flow from maximum mean daily flow by regionalization of catchment model parameters J. Ding & U. Haberlandt https://doi.org/10.1002/hyp.11053
250. Regionalization as a learning process W. Buytaert & K. Beven https://doi.org/10.1029/2008WR007359
251. NUMERICAL EXPERIMENTS TO CALIBRATE A HYDROLOGICAL MODEL BASED ON STREAMFLOW SIGNATURES AND HYDROLOGICAL TIME SERIES DATA R. ARAI et al. https://doi.org/10.2208/jscejer.78.5_I_95
252. Conditioned empirical orthogonal functions for interpolation of runoff time series along rivers: Application to reconstruction of missing monthly records L. Li et al. https://doi.org/10.1016/j.jhydrol.2017.11.014
253. Citizen science in hydrology and water resources: opportunities for knowledge generation, ecosystem service management, and sustainable development W. Buytaert et al. https://doi.org/10.3389/feart.2014.00026
254. Efficient approach for impact analysis of land cover changes on hydrological extremes by means of a lumped conceptual model J. De Niel et al. https://doi.org/10.1016/j.ejrh.2020.100666
255. Streamflow prediction in ungauged catchments using copula‐based dissimilarity measures L. Samaniego et al. https://doi.org/10.1029/2008WR007695
256. Modelling ungauged catchments using the catchment runoff response similarity G. Tegegne & Y. Kim https://doi.org/10.1016/j.jhydrol.2018.07.042
257. Regionalization methods for PUB: a comprehensive review of progress after the PUB decade X. Yang et al. https://doi.org/10.2166/nh.2023.027
258. Comparing and combining physically-based and empirically-based approaches for estimating the hydrology of ungauged catchments D. Booker & R. Woods https://doi.org/10.1016/j.jhydrol.2013.11.007
259. River flow prediction through rainfall–runoff modelling with a probability-distributed model (PDM) in Flanders, Belgium P. Cabus https://doi.org/10.1016/j.agwat.2008.02.013
260. Regionalising rainfall-runoff modelling for predicting daily runoff: Comparing gridded spatial proximity and gridded integrated similarity approaches against their lumped counterparts H. Li & Y. Zhang https://doi.org/10.1016/j.jhydrol.2017.05.015
261. Do Nash values have value? B. Schaefli & H. Gupta https://doi.org/10.1002/hyp.6825
262. Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment L. Leonard & C. Duffy https://doi.org/10.1016/j.envsoft.2014.07.015
263. Monthly streamflow estimation in ungauged catchments of northern Algeria using regionalization of conceptual model parameters S. Zamoum & D. Souag-Gamane https://doi.org/10.1007/s12517-019-4487-9
264. Predicting Runoff Signatures Using Regression and Hydrological Modeling Approaches Y. Zhang et al. https://doi.org/10.1029/2018WR023325
265. Regionalization of sediment rating curve for sediment yield prediction in ungauged catchments S. Heng & T. Suetsugi https://doi.org/10.2166/nh.2013.090
266. Identifying most relevant controls on catchment hydrological similarity using model transferability – A comprehensive study in Iran A. Jahanshahi et al. https://doi.org/10.1016/j.jhydrol.2022.128193
267. Long-term effects of land-use change on water resources in urbanizing watersheds A. Talib et al. https://doi.org/10.1371/journal.pwat.0000083
268. Current awareness https://doi.org/10.1002/hyp.6193
269. Watershed model parameter estimation in low data environments R. Garna et al. https://doi.org/10.1016/j.ejrh.2022.101306
270. Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments L. Oudin et al. https://doi.org/10.1029/2007WR006240
271. Calibrating Environment Canada's MESH Modelling System over the Great Lakes Basin A. Haghnegahdar et al. https://doi.org/10.1080/07055900.2014.939131
272. Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. https://doi.org/10.1029/2021WR030437
273. Evaluation of Catchments’ Similarity by Penalization in the Context of Engineering Tasks—A Case Study of Four Slovakian Catchments M. Cisty et al. https://doi.org/10.3390/w13202894
274. Added-value from a multi-criteria selection of donor catchments in the prediction of continuous streamflow series at ungauged pollution control-sites G. Drogue et al. https://doi.org/10.5194/piahs-373-69-2016
275. Flood modelling and prediction using hydrologic similarity – driven parameter regionalization in ungauged catchments H. Lu et al. https://doi.org/10.2166/hydro.2025.036
276. Combining clustering and classification for the regionalization of environmental model parameters: Application to floodplain mapping in data-scarce regions K. Jafarzadegan et al. https://doi.org/10.1016/j.envsoft.2019.104613
277. Calibration of hydrological models in the spectral domain: An opportunity for scarcely gauged basins? A. Montanari & E. Toth https://doi.org/10.1029/2006WR005184
278. Comparison of four regionalisation methods for a distributed hydrological model J. Götzinger & A. Bárdossy https://doi.org/10.1016/j.jhydrol.2006.09.008
279. Groundwater recharge estimation in relation to land use type and soil: the case of Hormat-Golina sub-basin, northern Ethiopia S. Bezabih Kidane & M. Melkam Taye https://doi.org/10.3389/frwa.2025.1542663
280. Modelling the impact of climate change on flow and E. coli concentration in the catchment of an ungauged drinking water source in Norway H. Mohammed et al. https://doi.org/10.1016/j.jhydrol.2019.04.021
281. Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. https://doi.org/10.1016/j.jhydrol.2019.123927
282. Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall–Runoff Modeling in Southeast Australia Y. Zhang et al. https://doi.org/10.1175/2009JHM1061.1
283. How can SWOT derived water surface elevations help calibrating a distributed hydrological model? G. Patidar et al. https://doi.org/10.1016/j.jhydrol.2025.132968
284. Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia U. Kim & J. Kaluarachchi https://doi.org/10.1016/j.jhydrol.2008.08.016
285. Regional scale hydrologic modeling of a karst-dominant geomorphology: The case study of the Island of Crete A. Malagò et al. https://doi.org/10.1016/j.jhydrol.2016.05.061
286. Symbolic Regression for the Estimation of Transfer Functions of Hydrological Models D. Klotz et al. https://doi.org/10.1002/2017WR021253
287. Selection of catchment descriptors for the physical similarity approach. Part I: Theory. M. HEŘMANOVSKÝ & P. PECH https://doi.org/10.17221/22/2012-SWR
288. Watershed hydrological modelling in data scarce regions; integrating ecohydrology and regionalization for the southern Caspian Sea basin, Iran M. Sheikh Goodarzi et al. https://doi.org/10.1016/j.heliyon.2021.e06833
289. Predicting the daily flow in ungauged catchments of the eastern part of the upper Blue Nile basin, Ethiopia S. Mekonnen et al. https://doi.org/10.1007/s40899-023-00856-9
290. Combining Satellite Optical and Radar Image Data for Streamflow Estimation Using a Machine Learning Method X. Wang et al. https://doi.org/10.3390/rs15215184
291. Methods for regional calibration - a case study using the TopNet hydrological model for the Bay of Plenty region, New Zealand S. Singh et al. https://doi.org/10.1080/13241583.2020.1821487
292. A novel integrated modelling framework to assess the impacts of climate and socio-economic drivers on land use and water quality M. Zessner et al. https://doi.org/10.1016/j.scitotenv.2016.11.092
293. Regression model optimization using least square algorithms for streamflow data transposition in tropical humid Water Basin B. Ekwueme https://doi.org/10.1016/j.hydres.2024.04.005
294. Regionalization study of a conceptual hydrological model in the Donjiang Basin J. Xiao-li et al. https://doi.org/10.18307/2008.0609
295. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al. https://doi.org/10.1016/j.ejrh.2023.101381
296. Estimation of Continuous Streamflow in Ontario Ungauged Basins: Comparison of Regionalization Methods J. Samuel et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000338
297. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. https://doi.org/10.1029/2019JD031485
298. Hydrological modelling of ungauged urban watershed using SWAT model E. Sisay et al. https://doi.org/10.1007/s40808-017-0328-6
299. Contribution of Agro-Hydrological Modeling in the Evaluation of Water Availability of an Ungauged Basin Reservoir in Côte d’Ivoire: Case of the Loka Reservoir in Bouaké K. Anoh et al. https://doi.org/10.4236/cweee.2021.103009
300. Regionalisation of the parameters of a hydrological model: Comparison of linear regression models with artificial neural nets G. Heuvelmans et al. https://doi.org/10.1016/j.jhydrol.2005.07.030
301. CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland M. Höge et al. https://doi.org/10.5194/essd-15-5755-2023
302. Relative merits of different methods for runoff predictions in ungauged catchments Y. Zhang & F. Chiew https://doi.org/10.1029/2008WR007504
303. Identifying runoff routing parameters for operational flood forecasting in small to medium sized catchments / Identification de paramètres de propagation d'écoulement pour la prévision opérationnelle de crue au sein de bassins versants de petite à moyenne taille C. RESZLER et al. https://doi.org/10.1623/hysj.53.1.112
304. Interpretable machine learning on large samples for supporting runoff estimation in ungauged basins Y. Xu et al. https://doi.org/10.1016/j.jhydrol.2024.131598
305. Streamflow drought onset and severity explained by non‐linear responses between climate‐catchment and land surface processes A. Raut et al. https://doi.org/10.1002/hyp.15245
306. Continuous streamflow prediction in ungauged basins: The effects of equifinality and parameter set selection on uncertainty in regionalization approaches R. Arsenault & F. Brissette https://doi.org/10.1002/2013WR014898
307. Catchment model regionalization approach based on spatial proximity: Does a neighbor catchment-based rainfall input strengthen the method? G. Drogue & W. Ben Khediri https://doi.org/10.1016/j.ejrh.2016.07.002
308. Estimation of streamflow of the ungauged mountainous watersheds of the Western Ghats in India using the SWAT model C. George & E. James https://doi.org/10.1002/rra.4216