184 citations as recorded by crossref.

1. 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. https://doi.org/10.5194/hess-22-5081-2018
2. Bayesian uncertainty assessment of flood predictions in ungauged urban basins for conceptual rainfall-runoff models A. Sikorska et al. https://doi.org/10.5194/hess-16-1221-2012
3. Using high resolution tracer data to constrain water storage, flux and age estimates in a spatially distributed rainfall‐runoff model M. van Huijgevoort et al. https://doi.org/10.1002/hyp.10902
4. Dependence of model-based extreme flood estimation on the calibration period: case study of the Kamp River (Austria) P. Brigode et al. https://doi.org/10.1080/02626667.2015.1006632
5. The temporally varying roles of rainfall, snowmelt and soil moisture for debris flow initiation in a snow-dominated system K. Mostbauer et al. https://doi.org/10.5194/hess-22-3493-2018
6. Spatially distributed tracer‐aided modelling to explore water and isotope transport, storage and mixing in a pristine, humid tropical catchment J. Dehaspe et al. https://doi.org/10.1002/hyp.13258
7. Streamflow simulation methods for ungauged and poorly gauged watersheds A. Loukas & L. Vasiliades https://doi.org/10.5194/nhess-14-1641-2014
8. How informative are stream level observations in different geographic regions? J. Seibert & M. Vis https://doi.org/10.1002/hyp.10887
9. On the use of the critical event concept for quantifying soil moisture dynamics T. Wang et al. https://doi.org/10.1016/j.geoderma.2018.08.013
10. Remote sensing of river stage using the cross‐sectional inundation area‐river stage relationship (IARSR) constructed from digital elevation model data F. Pan & J. Nichols https://doi.org/10.1002/hyp.9469
11. Valorisation des données de jaugeages épisodiques pour l'estimation du débit de référence d'étiage QMNA5 C. Catalogne et al. https://doi.org/10.1051/lhb/2014042
12. Spatial mapping and testing the applicability of the curve number method for ungauged catchments in Northern Ethiopia D. Gebresellassie Zelelew https://doi.org/10.1016/j.iswcr.2017.06.003
13. Comparison of climate-phenology-hydrology associations at two long-term studied forest watersheds in subtropical mountainous Taiwan C. Chang et al. https://doi.org/10.1016/j.ecoinf.2025.103257
14. Role of rainstorm intensity underestimated by data-derived flood models: Emerging global evidence from subsurface-dominated watersheds N. Chappell et al. https://doi.org/10.1016/j.envsoft.2016.10.009
15. Towards hydrological model calibration and validation: simulation of stable water isotopes using the isoWATFLOOD model T. Stadnyk et al. https://doi.org/10.1002/hyp.9695
16. Prediction of hydrographs and flow-duration curves in almost ungauged catchments: Which runoff measurements are most informative for model calibration? S. Pool et al. https://doi.org/10.1016/j.jhydrol.2017.09.037
17. Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches A. Teweldebrhan et al. https://doi.org/10.5194/hess-22-5021-2018
18. 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
19. Comparison of Leptosira concentrations in two rivers within contrasting catchments in a leptospirosis hotspot R. Thibeaux et al. https://doi.org/10.1016/j.jconhyd.2026.104984
20. Multi-Model Assessment of Climate Change Impacts on the Streamflow Conditions in the Kasai River Basin, Central Africa S. Lesani et al. https://doi.org/10.3390/hydrology11120207
21. Are all runoff processes the same? Numerical experiments comparing a Darcy‐Richards solver to an overland flow‐based approach for subsurface storm runoff simulation A. Ameli et al. https://doi.org/10.1002/2015WR017199
22. Field-based estimation and modelling of distributed groundwater recharge in a Mediterranean karst catchment, Wadi Natuf, West Bank C. Messerschmid et al. https://doi.org/10.5194/hess-24-887-2020
23. Citizen science pioneers in Kenya – A crowdsourced approach for hydrological monitoring B. Weeser et al. https://doi.org/10.1016/j.scitotenv.2018.03.130
24. Assessment of the Value of Remotely Sensed Surface Water Extent Data for the Calibration of a Lumped Hydrological Model A. Meyer Oliveira et al. https://doi.org/10.1029/2023WR034875
25. Transit Time Estimation in Catchments: Recent Developments and Future Directions P. Benettin et al. https://doi.org/10.1029/2022WR033096
26. Soft Water Level Sensors for Characterizing the Hydrological Behaviour of Agricultural Catchments A. Crabit et al. https://doi.org/10.3390/s110504656
27. Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. https://doi.org/10.5194/hess-18-4839-2014
28. Exploratory Assessment of Short-Term Antecedent Modeled Flow Memory in Shaping Macroinvertebrate Diversity: Integrating Satellite-Derived Precipitation and Rainfall-Runoff Modeling in a Remote Andean Micro-Catchment G. Sotomayor et al. https://doi.org/10.3390/biology15030257
29. Uncertainty in streamflow rating curves: methods, controls and consequences K. Tomkins https://doi.org/10.1002/hyp.9567
30. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. https://doi.org/10.5194/hess-24-3331-2020
31. Modelling non‐stationary water ages in a tropical rainforest: A preliminary spatially distributed assessment A. Correa et al. https://doi.org/10.1002/hyp.13925
32. Hydrological modelling, process understanding and uncertainty in a southern African context: lessons from the northern hemisphere D. Hughes https://doi.org/10.1002/hyp.10721
33. Rainfall–interception–evaporation–runoff relationships in a semi-arid catchment, northern Limpopo basin, Zimbabwe D. Love et al. https://doi.org/10.1080/02626667.2010.494010
34. Gauging the Ungauged Basin: Relative Value of Soft and Hard Data J. Seibert & J. McDonnell https://doi.org/10.1061/(ASCE)HE.1943-5584.0000861
35. Assessing the impact of global changes on the surface water resources of southwestern Nigeria A. Ayeni et al. https://doi.org/10.1080/02626667.2014.993645
36. Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. https://doi.org/10.1029/2021WR030437
37. Optimizing parameter learning and calibration in an integrated hydrological model: Impact of observation length and information P. Jiang et al. https://doi.org/10.1016/j.jhydrol.2024.131889
38. Flood risk reduction and flow buffering as ecosystem services – Part 1: Theory on flow persistence, flashiness and base flow M. van Noordwijk et al. https://doi.org/10.5194/hess-21-2321-2017
39. A review of regionalisation for continuous streamflow simulation Y. He et al. https://doi.org/10.5194/hess-15-3539-2011
40. Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages K. Schilling et al. https://doi.org/10.1371/journal.pone.0307486
41. Gauging ungauged catchments – Active learning for the timing of point discharge observations in combination with continuous water level measurements S. Pool & J. Seibert https://doi.org/10.1016/j.jhydrol.2021.126448
42. Simulation of Gauged and Ungauged Streamflow of Coastal Catchments across Australia M. Bari et al. https://doi.org/10.3390/w16040527
43. Sensitivity analysis of SWAT nitrogen simulations with and without in-stream processes Y. Yuan & L. Chiang https://doi.org/10.1080/03650340.2014.965694
44. Interpretation of runoff processes in hydrological modelling—experience from the HBV approach S. Bergström & G. Lindström https://doi.org/10.1002/hyp.10510
45. Using high‐resolution isotope data and alternative calibration strategies for a tracer‐aided runoff model in a nested catchment C. Tunaley et al. https://doi.org/10.1002/hyp.11313
46. How can a few streamflow measurements help to predict daily hydrographs at almost ungauged sites? G. Drogue & J. Plasse https://doi.org/10.1080/02626667.2013.865031
47. Regional water resources assessments using an uncertain modelling approach: The example of Swaziland C. Ndzabandzaba & D. Hughes https://doi.org/10.1016/j.ejrh.2017.01.002
48. Value of water level class observations for parameter set selection in hydrological modelling F. Clerc-Schwarzenbach et al. https://doi.org/10.1080/02626667.2025.2489994
49. Assessing multidecadal runoff (1970–2010) using regional hydrological modelling under data and water scarcity conditions in Peruvian Pacific catchments P. Rau et al. https://doi.org/10.1002/hyp.13318
50. Regionalising a meso-catchment scale conceptual model for river basin management in the semi-arid environment D. Love et al. https://doi.org/10.1016/j.pce.2011.07.005
51. Can meteorological model forecasts initialize hydrological simulations rather than observed data in ungauged basins? A. Ceppi et al. https://doi.org/10.1002/met.2165
52. Hybrid hydrological modeling: Integration of machine learning and conventional hydrology E. Altarawneh et al. https://doi.org/10.1016/j.pce.2025.104150
53. Calibration of hydrological models on hydrologically unusual events S. Singh & A. Bárdossy https://doi.org/10.1016/j.advwatres.2011.12.006
54. 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
55. 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
56. Effective precipitation duration for runoff peaks based on catchment modelling A. Sikorska et al. https://doi.org/10.1016/j.jhydrol.2017.11.028
57. Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data N. Velpuri & G. Senay https://doi.org/10.5194/hess-16-3561-2012
58. Projections of future water resources and their uncertainty in a glacierized catchment in the Swiss Alps and the subsequent effects on hydropower production during the 21st century D. Finger et al. https://doi.org/10.1029/2011WR010733
59. Regionalization methods in ungauged catchments for flow prediction: review and its recent developments N. Singh & T. Devi https://doi.org/10.1007/s12517-022-10287-z
60. Achieving Robust and Transferable Performance for Conservation‐Based Models of Dynamical Physical Systems F. Zheng et al. https://doi.org/10.1029/2021WR031818
61. Integrating different types of information into hydrological model parameter estimation: Application to ungauged catchments and land use scenario analysis N. Bulygina et al. https://doi.org/10.1029/2011WR011207
62. Rapid Stage‐Discharge Rating Curve Assessment Using Hydraulic Modeling in an Uncertainty Framework V. Mansanarez et al. https://doi.org/10.1029/2018WR024176
63. Evaluation and comparison of CMIP6 and CMIP5 model performance in simulating the runoff H. Guo et al. https://doi.org/10.1007/s00704-022-04118-0
64. Evaluation of cooperative and non-cooperative game theoretic approaches for water allocation of transboundary rivers F. Mirzaei-Nodoushan et al. https://doi.org/10.1038/s41598-022-07971-1
65. What is the best time to take stream isotope samples for event-based model calibration? L. Wang et al. https://doi.org/10.1016/j.jhydrol.2019.123950
66. Evaluation of the performance of remotely sensed rainfall datasets for flood simulation in the transboundary Mono River catchment, Togo and Benin N. Hounguè et al. https://doi.org/10.1016/j.ejrh.2021.100875
67. Considering flood scaling property in multi-objective calibration of the SWAT model: a case study in Zijinguan watershed, Northern China Y. Zheng et al. https://doi.org/10.1007/s11069-023-05859-5
68. Continuous versus event‐based sampling: how many samples are required for deriving general hydrological understanding on Ecuador's páramo region? A. Correa et al. https://doi.org/10.1002/hyp.10975
69. Catchment Classification Framework in Hydrology: Challenges and Directions B. Sivakumar et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000837
70. A novel ensemble algorithm based on hydrological event diversity for urban rainfall–runoff model calibration and validation E. Snieder & U. Khan https://doi.org/10.1016/j.jhydrol.2023.129193
71. Usefulness of Global Root Zone Soil Moisture Product for Streamflow Prediction of Ungauged Basins J. Choi et al. https://doi.org/10.3390/rs13040756
72. A multi-pronged approach to source attribution and apportionment of heavy metals in urban rivers P. Jamwal et al. https://doi.org/10.1007/s13280-022-01734-y
73. Improving streamflow estimation in ungauged basins using a multi-modelling approach T. Razavi & P. Coulibaly https://doi.org/10.1080/02626667.2016.1154558
74. Enhancing streamflow simulation using hybridized machine learning models in a semi-arid basin of the Chinese loess Plateau Q. Yu et al. https://doi.org/10.1016/j.jhydrol.2023.129115
75. Flood prediction using parameters calibrated on limited discharge data and uncertain rainfall scenarios J. Reynolds et al. https://doi.org/10.1080/02626667.2020.1747619
76. How well do process-based and data-driven hydrological models learn from limited discharge data? M. Staudinger et al. https://doi.org/10.5194/hess-29-5005-2025
77. Dependence of regionalization methods on the complexity of hydrological models in multiple climatic regions X. Yang et al. https://doi.org/10.1016/j.jhydrol.2019.124357
78. A short history of philosophies of hydrological model evaluation and hypothesis testing K. Beven https://doi.org/10.1002/wat2.1761
79. Rainfall to runoff: a comprehensive review of AI and traditional models for inflow forecasting in semi-arid basin S. Agarwal et al. https://doi.org/10.1007/s43538-025-00467-2
80. How good are hydrological models for gap-filling streamflow data? Y. Zhang & D. Post https://doi.org/10.5194/hess-22-4593-2018
81. WaCoDiS: Automated Earth Observation data processing within an event-driven architecture for water monitoring S. Drost et al. https://doi.org/10.1016/j.cageo.2021.105003
82. Robustness of flood-model calibration using single and multiple events J. Reynolds et al. https://doi.org/10.1080/02626667.2019.1609682
83. Integrating heterogeneous landscape characteristics into watershed scale modelling S. Julich et al. https://doi.org/10.5194/adgeo-31-31-2012
84. How significant are quadratic criteria? Part 1. How many years are necessary to ensure the data-independence of a quadratic criterion value? L. Berthet et al. https://doi.org/10.1080/02626667.2010.505890
85. 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
86. Estimating daily time series of streamflow using hydrological model calibrated based on satellite observations of river water surface width: Toward real world applications W. Sun et al. https://doi.org/10.1016/j.envres.2015.01.002
87. 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
88. Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning A. Gupta https://doi.org/10.1016/j.ejrh.2023.101607
89. Application of hydrological models to streamflow estimation at ungauged transboundary Himalayan River basin, Nepal B. Budhathoki et al. https://doi.org/10.2166/nh.2024.026
90. Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products P. López López et al. https://doi.org/10.5194/hess-21-3125-2017
91. Treating an artificial catchment as ungauged: Increasing the plausibility of an uncalibrated, process-based SVAT scheme by using additional soft and hard data H. Bormann https://doi.org/10.1016/j.pce.2011.04.006
92. Evaluation of regionalization parameters for stream flow prediction in ungauged catchments of Rift Valley Lakes Basin, Ethiopia Z. Mada et al. https://doi.org/10.1007/s40808-024-01977-6
93. Development of multi-stage method for opportunity constraint in water supply and drainage system J. Liu et al. https://doi.org/10.5004/dwt.2018.22777
94. Contribution of the satellite-data driven snow routine to a karst hydrological model S. Çallı et al. https://doi.org/10.1016/j.jhydrol.2022.127511
95. 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
96. Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources J. Willard et al. https://doi.org/10.1017/eds.2024.14
97. Calibration of hydrological models using flow-duration curves I. Westerberg et al. https://doi.org/10.5194/hess-15-2205-2011
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99. Which range of streamflow data is most informative in the calibration of an hourly hydrological model? M. Saadi & C. Furusho-Percot https://doi.org/10.1080/02626667.2023.2277835
100. Posterior assessment of reference gages for water resources management using instantaneous flow measurements C. Liu et al. https://doi.org/10.1016/j.scitotenv.2018.03.312
101. A brief history of information and disinformation in hydrological data and the impact on the evaluation of hydrological models K. Beven https://doi.org/10.1080/02626667.2024.2332616
102. Runoff prediction in ungauged catchments in Norway: comparison of regionalization approaches X. Yang et al. https://doi.org/10.2166/nh.2017.071
103. Climate change and mountain water resources: overview and recommendations for research, management and policy D. Viviroli et al. https://doi.org/10.5194/hess-15-471-2011
104. Apport des jaugeages ponctuels à la reconstitution de chroniques de débits moyens journaliers par simulation pluie-débit : l'exemple du bassin Rhin-Meuse J. Plasse et al. https://doi.org/10.1051/lhb/2014007
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106. Development of operation policy for dry season reservoirs in tropical partially gauged river basins C. Gowda et al. https://doi.org/10.1080/15715124.2022.2118280
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108. Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India S. Verma et al. https://doi.org/10.1016/j.ejrh.2023.101533
109. Improving the flood prediction capability of the Xinanjiang model in ungauged nested catchments by coupling it with the geomorphologic instantaneous unit hydrograph C. Yao et al. https://doi.org/10.1016/j.jhydrol.2014.06.037
110. Evaluating hydrological model performance using varying amounts of participatory monitoring water level data F. Mitze et al. https://doi.org/10.1371/journal.pwat.0000405
111. Suspended sediment load in the tidal zone of an Indonesian river F. Buschman et al. https://doi.org/10.5194/hess-16-4191-2012
112. 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
113. Subjective modeling decisions can significantly impact the simulation of flood and drought events L. Melsen et al. https://doi.org/10.1016/j.jhydrol.2018.11.046
114. Reconstructing the 2015 Salgar flash flood using radar retrievals and a conceptual modeling framework in an ungauged basin N. Velásquez et al. https://doi.org/10.5194/hess-24-1367-2020
115. Low Altitude Unmanned Aerial Vehicles (UAVs) and Satellite Remote Sensing Are Used to Calculated River Discharge Attenuation Coefficients of Ungauged Catchments in Arid Desert S. Yang et al. https://doi.org/10.3390/w11122633
116. Hydrological Response of Tropical Catchments to Climate Change as Modeled by the GR2M Model: A Case Study in Costa Rica M. Mendez et al. https://doi.org/10.3390/su142416938
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118. 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
119. 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
120. 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
121. A simple hydrologic model for rapid prediction of runoff from ungauged coastal catchments Y. Wan & K. Konyha https://doi.org/10.1016/j.jhydrol.2015.06.047
122. Impact of Dataset Size on the Signature-Based Calibration of a Hydrological Model S. Mohammed et al. https://doi.org/10.3390/w13070970
123. Effects of Climate Change on Streamflow in the Godavari Basin Simulated Using a Conceptual Model including CMIP6 Dataset N. Reddy et al. https://doi.org/10.3390/w15091701
124. Managing Uncertainty in Runoff Estimation with the U.S. Environmental Protection Agency National Stormwater Calculator L. Schifman et al. https://doi.org/10.1111/1752-1688.12599
125. A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. https://doi.org/10.1080/02626667.2013.803183
126. A comparison of simple and complex versions of the Xinanjiang hydrological model in predicting runoff in ungauged basins P. Bai et al. https://doi.org/10.2166/nh.2016.094
127. Are temporary stream observations useful for calibrating a lumped hydrological model? M. Scheller et al. https://doi.org/10.1016/j.jhydrol.2024.130686
128. Discharge Estimation for an Ungauged Inland River in an Arid Area Related to Anthropogenic Activities: A Case Study of Heihe River Basin, Northwestern China S. Liu et al. https://doi.org/10.1155/2016/6716501
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131. Smiling in the rain: Seven reasons to be positive about uncertainty in hydrological modelling J. Juston et al. https://doi.org/10.1002/hyp.9625
132. A distributed modelling system for simulation of monthly runoff and nitrogen sources, loads and sinks for ungauged catchments in Denmark J. Windolf et al. https://doi.org/10.1039/c1em10139k
133. Incorporating uncertainty in hydrological predictions for gauged and ungauged basins in southern Africa E. Kapangaziwiri et al. https://doi.org/10.1080/02626667.2012.690881
134. Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows U. Haberlandt & I. Radtke https://doi.org/10.5194/hess-18-353-2014
135. 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
136. Assessing the seasonality and uncertainty in evapotranspiration partitioning using a tracer-aided model A. Smith et al. https://doi.org/10.1016/j.jhydrol.2018.03.036
137. Evaluation of the predictions skills and uncertainty of a karst model using short calibration data sets at an Apulian cave (Italy) T. Leins et al. https://doi.org/10.1007/s12665-023-10984-2
138. Changes in lakes water volume and runoff over ungauged Sahelian watersheds L. Gal et al. https://doi.org/10.1016/j.jhydrol.2016.07.035
139. Towards hydrological model calibration using river level measurements J. Jian et al. https://doi.org/10.1016/j.ejrh.2016.12.085
140. The assessment of water resources in ungauged catchments in Rwanda O. Abimbola et al. https://doi.org/10.1016/j.ejrh.2017.09.001
141. The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model D. Finger et al. https://doi.org/10.1029/2010WR009824
142. Estimating minimum streamflow from measurements at ungauged sites in regions with streamflow‐gauging networks C. Konrad & C. Rumsey https://doi.org/10.1002/hyp.13452
143. Hydrological modelling in a changing world M. Peel & G. Blöschl https://doi.org/10.1177/0309133311402550
144. What can flux tracking teach us about water age distribution patterns and their temporal dynamics? M. Hrachowitz et al. https://doi.org/10.5194/hess-17-533-2013
145. Climate change impacts on future snow, ice and rain runoff in a Swiss mountain catchment using multi-dataset calibration S. Etter et al. https://doi.org/10.1016/j.ejrh.2017.08.005
146. Flood Hazard Assessment in Data-Scarce Watersheds Using Model Coupling, Event Sampling, and Survey Data J. Hurtado-Pidal et al. https://doi.org/10.3390/w12102768
147. Can a regionalized model parameterisation be improved with a limited number of runoff measurements? D. Viviroli & J. Seibert https://doi.org/10.1016/j.jhydrol.2015.07.009
148. A methodology for monitoring and modeling of high altitude Alpine catchments A. Soncini et al. https://doi.org/10.1177/0309133317710832
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150. Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al. https://doi.org/10.5194/hess-26-3863-2022
151. Information content of stream level class data for hydrological model calibration H. van Meerveld et al. https://doi.org/10.5194/hess-21-4895-2017
152. Toward catchment hydro‐biogeochemical theories L. Li et al. https://doi.org/10.1002/wat2.1495
153. Laboratory assessment of alternative stream velocity measurement methods S. Hundt et al. https://doi.org/10.1371/journal.pone.0222263
154. Multi-model data fusion as a tool for PUB: example in a Swedish mesoscale catchment J. Exbrayat et al. https://doi.org/10.5194/adgeo-29-43-2011
155. 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
156. How and when glacial runoff is important: Tracing dynamics of meltwater and rainfall contribution to river runoff from headwaters to lowland in the Caucasus Mountains E. Rets et al. https://doi.org/10.1016/j.scitotenv.2024.172201
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