220 citations as recorded by crossref.

1. On the use of streamflow transformations for hydrological model calibration G. Thirel et al.
2. Hydrologic Sensitivities and ENSO Variability Across Hydrological Regimes in Central Chile (28°–41°S) D. Hernandez et al.
3. Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments H. Canham et al.
4. Typhoon Nina and the August 1975 Flood over Central China L. Yang et al.
5. Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement K. Fowler et al.
6. EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions T. Hallouin et al.
7. Variable Streamflow Response to Forest Disturbance in the Western US: A Large‐Sample Hydrology Approach S. Goeking & D. Tarboton
8. Regional Patterns and Physical Controls of Streamflow Generation Across the Conterminous United States S. Wu et al.
9. CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking O. Delaigue et al.
10. Improved understanding of calibration efficiency, difficulty and parameter uniqueness of conceptual rainfall runoff models using fitness landscape metrics S. Zhu et al.
11. On the ability of large-scale hydrological models to simulate land use and land cover change impacts in Amazonian basins D. Rodriguez & J. Tomasella
12. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain G. Coxon et al.
13. Robustness of a parsimonious subsurface drainage model at the French national scale A. Jeantet et al.
14. Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al.
15. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand
16. From empirical to physical constraints: Revisiting the structure of monthly water balance models with global evaluation Z. Ning et al.
17. A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers A. Neumann et al.
18. Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar
19. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al.
20. How does wildfire and climate variability affect streamflow in forested catchments? A regional study in eastern Australia D. Guo et al.
21. Hydrological design in the HELPING decade – inspiring the community to innovate the hydrological design concept S. Fischer et al.
22. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al.
23. A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022) X. Chen et al.
24. Assessment of hydrological model performance in Morocco in relation to model structure and catchment characteristics O. Jaffar et al.
25. Towards seamless large‐domain parameter estimation for hydrologic models N. Mizukami et al.
26. Towards an Extension of the Model Conditional Processor: Predictive Uncertainty Quantification of Monthly Streamflow via Gaussian Mixture Models and Clusters J. Romero-Cuellar et al.
27. Spatial Combination Modeling Framework of Saturation-Excess and Infiltration-Excess Runoff for Semihumid Watersheds P. Huang et al.
28. Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case I. Pechlivanidis & B. Arheimer
29. Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance A. Newman et al.
30. Uncertainty in hydrological signatures for gauged and ungauged catchments I. Westerberg et al.
31. MPR 1.0: a stand-alone multiscale parameter regionalization tool for improved parameter estimation of land surface models R. Schweppe et al.
32. A national flood awareness system for ungauged catchments in complex topography: The case of development, communication and evaluation in New Zealand C. Cattoën et al.
33. A Robust Strategy to Account for Data Sampling Variability in the Development of Hydrological Models F. Zheng et al.
34. Physically consistent conceptual rainfall–runoff model for urbanized catchments M. Saadi et al.
35. Toward reproducible and interoperable environmental modeling: Integration of HydroShare with server-side methods for exposing large-extent spatial datasets to models Y. Choi et al.
36. Archetypes and Controls of Riverine Nutrient Export Across German Catchments P. Ebeling et al.
37. A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations G. Coxon et al.
38. On the choice of calibration metrics for “high-flow” estimation using hydrologic models N. Mizukami et al.
39. GRDC-Caravan: extending Caravan with data from the Global Runoff Data Centre C. Färber et al.
40. Seasonal streamflow forecasting in South America’s largest rivers I. Petry et al.
41. Improving trans-regional hydrological modelling by combining LSTM with big hydrological data S. Tang et al.
42. Performance assessment of methods to estimate initial hydrologic conditions for event-based rainfall-runoff modelling V. Manikanta & N. Umamahesh
43. Caravan - A global community dataset for large-sample hydrology F. Kratzert et al.
44. What can hydrological modelling gain from spatially explicit parameterization and multi-gauge calibration? X. Zheng et al.
45. Hydrology research articles are becoming more topically diverse M. Rahman et al.
46. Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia S. Clark et al.
47. Panta Rhei 2013–2015: global perspectives on hydrology, society and change H. McMillan et al.
48. Customizing large-scale hydrological models: Harnessing the open data realm for impactful local applications I. Pechlivanidis & J. Musuuza
49. Integrating remote sensing data in optimization of a national water resources model to improve the spatial pattern performance of evapotranspiration M. Soltani et al.
50. The hazards of split-sample validation in hydrological model calibration R. Arsenault et al.
51. Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization A. Visser-Quinn et al.
52. Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models T. Lees et al.
53. LamaH-Ice: LArge-SaMple DAta for Hydrology and Environmental Sciences for Iceland H. Helgason & B. Nijssen
54. Multi-Basin Modelling of Future Hydrological Fluxes in the Indian Subcontinent I. Pechlivanidis et al.
55. CHOSEN: A synthesis of hydrometeorological data from intensively monitored catchments and comparative analysis of hydrologic extremes L. Zhang et al.
56. Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models? A. Piotrowski et al.
57. Modeling streamflow variability at the regional scale: (1) perceptual model development through signature analysis F. Fenicia & J. McDonnell
58. The role of previously glaciated landscapes in spatiotemporal variability of streamflow in snow-dominated watersheds: British Columbia, Canada X. Chen et al.
59. CAMELS-NZ: hydrometeorological time series and landscape attributes for New Zealand S. Bushra et al.
60. Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds T. Mathevet et al.
61. A dataset of land surface characteristics and time-series hydrometeorological data for typical catchments in China (2003–2020) H. MA et al.
62. A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds R. Arsenault et al.
63. A Systematic Evaluation of Noah‐MP in Simulating Land‐Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States N. Ma et al.
64. Characteristics and controls of variability in soil moisture and groundwater in a headwater catchment H. McMillan & M. Srinivasan
65. Parameter regionalization of large-scale distributed rainfall–runoff models using a conditional probability method T. Sayama et al.
66. On generalization, language, interpretability and the future of geo-scientific machine learning H. Gupta
67. The CAMELS data set: catchment attributes and meteorology for large-sample studies N. Addor et al.
68. Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al.
69. Global‐scale regionalization of hydrologic model parameters H. Beck et al.
70. Multi-model approach in a variable spatial framework for streamflow simulation C. Thébault et al.
71. Benchmarking of a Physically Based Hydrologic Model A. Newman et al.
72. A process‐based approach to attribution of historical streamflow decline in a data‐scarce and human‐dominated watershed G. Penny et al.
73. Validation of a national hydrological model H. McMillan et al.
74. Are Model Transferability And Complexity Antithetical? Insights From Validation of a Variable‐Complexity Empirical Snow Model in Space and Time A. Lute & C. Luce
75. What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? I. Pechlivanidis et al.
76. Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins O. Rakovec et al.
77. Large-sample detection of reservoir impacts on flow regime alteration through improved paired-catchment approach X. Bai et al.
78. Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al.
79. Knowledge gaps in our perceptual model of Great Britain's hydrology T. Wagener et al.
80. Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model R. Lane et al.
81. A hydrologic signature approach to analysing wildfire impacts on overland flow L. Bolotin & H. McMillan
82. On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al.
83. Heteroscedastic and symmetric efficiency for hydrological model evaluation criteria C. Zhan et al.
84. Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al.
85. Temporal interpolation of groundwater level hydrographs for regional drought analysis using mixed models B. Marchant et al.
86. Impact of suspicious streamflow data on the efficiency and parameter estimates of rainfall–runoff models C. Thébault et al.
87. The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset C. Alvarez-Garreton et al.
88. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al.
89. Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery F. Matthews et al.
90. On the Robustness of Conceptual Rainfall‐Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation D. Guo et al.
91. Global-scale characterization of streamflow extremes S. Kuntla et al.
92. Improving the realism of hydrologic model functioning through multivariate parameter estimation O. Rakovec et al.
93. All models are wrong, but are they useful? Assessing reliability across multiple sites to build trust in urban drainage modelling A. Pedersen et al.
94. QUADICA: water QUAlity, DIscharge and Catchment Attributes for large-sample studies in Germany P. Ebeling et al.
95. Bushfire‐Induced Water Balance Changes Detected by a Modified Paired Catchment Method Z. Xu et al.
96. On the visual detection of non-natural records in streamflow time series: challenges and impacts L. Strohmenger et al.
97. Improving the theoretical underpinnings of process‐based hydrologic models M. Clark et al.
98. Estimating a-priori kinematic wave model parameters based on regionalization for flash flood forecasting in the Conterminous United States H. Vergara et al.
99. LamaH | Large-Sample Data for Hydrology: Big data für die Hydrologie und Umweltwissenschaften C. Klingler et al.
100. Correspondence Between Model Structures and Hydrological Signatures: A Large‐Sample Case Study Using 508 Brazilian Catchments P. David et al.
101. Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al.
102. Hierarchical mixture of experts and diagnostic modeling approach to reduce hydrologic model structural uncertainty E. Moges et al.
103. Multi-model simulation performance of monthly water balance models for global catchments: Thresholds and structural sensitivity Z. Ning et al.
104. MACH: A Multi-Attribute Catchment Hydrometeorological dataset K. Sink & T. Brikowski
105. Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al.
106. The Impacts of Native Forests and Forest Plantations on Water Supply in Chile C. Alvarez-Garreton et al.
107. How should a rainfall‐runoff model be parameterized in an almost ungauged catchment? A methodology tested on 609 catchments C. Rojas‐Serna et al.
108. Evaluating a finer resolution global hydrological model’s simulation of discharge in four West-African river basins T. Babalola et al.
109. CABra: a novel large-sample dataset for Brazilian catchments A. Almagro et al.
110. Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations S. Yatheendradas et al.
111. Moving sociohydrology forward: a synthesis across studies T. Troy et al.
112. Accelerating advances in continental domain hydrologic modeling S. Archfield et al.
113. Evaluating Hydrologic Model Performance for Characterizing Streamflow Drought in the Conterminous United States C. Simeone et al.
114. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al.
115. Looking beyond general metrics for model comparison – lessons from an international model intercomparison study T. de Boer-Euser et al.
116. Large Scale Evaluation of Relationships Between Hydrologic Signatures and Processes H. McMillan et al.
117. Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models H. Gupta & S. Razavi
118. Benchmarking and Process Diagnostics of Land Models G. Nearing et al.
119. Türkiye’de Taşkınların FlooDOT Tabanlı İncelenmesi ve Farklı Veri Kaynaklarının Mekânsal Karşılaştırılması A. Akbaş et al.
120. Regional multi-objective calibration for distributed hydrological modelling: a decision tree based approach M. Pesce et al.
121. Event‐based classification for global study of river flood generating processes L. Stein et al.
122. Benefits of upstream data for downstream streamflow forecasting: data assimilation in a semi-distributed flood forecasting model P. Royer-Gaspard et al.
123. Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability R. Basijokaite & C. Kelleher
124. Advancing catchment hydrology to deal with predictions under change U. Ehret et al.
125. Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning S. Du et al.
126. Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall‐runoff models K. Fowler et al.
127. Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison K. Sink & T. Brikowski
128. Challenges of Operational River Forecasting T. Pagano et al.
129. Using R in hydrology: a review of recent developments and future directions L. Slater et al.
130. The rise of the Nash-Sutcliffe efficiency in hydrology L. Melsen et al.
131. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al.
132. Seasonal streamflow forecasting by conditioning climatology with precipitation indices L. Crochemore et al.
133. Quantifying Positive and Negative Human-Modified Droughts in the Anthropocene: Illustration with Two Iranian Catchments E. Kakaei et al.
134. Evaluating the Influence of Topographic and Process Representation on Runoff and River Flow in Small‐Valley Scenarios Using a Coupled Rainfall–Runoff–Inundation and River‐Flow Model T. Ito et al.
135. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling H. Beck et al.
136. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al.
137. Diagnosis of insidious data disasters J. Lundquist et al.
138. Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations W. Fei et al.
139. Protocol for extracting flow hydrograph shape metrics for use in time-series flood hydrology analysis A. Arash et al.
140. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al.
141. Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental Scales K. Underwood et al.
142. On the need to test hydrological models under changing conditions G. Thirel et al.
143. Exploring the Potential of Long Short‐Term Memory Networks for Improving Understanding of Continental‐ and Regional‐Scale Snowpack Dynamics Y. Wang et al.
144. Exploring the provenance of information across Canadian hydrometric stations: implications for discharge estimation and uncertainty quantification S. Gharari et al.
145. FLOOD INUNDATION SIMULATION USING A LARGE-SCALE RAINFALL-RUNOFF-INUNDATION MODEL - EFFECTS OF TOPOGRAPHIC DATA CORRECTIONS - T. SAYAMA et al.
146. CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al.
147. Benchmarking hydrological models for low-flow simulation and forecasting on French catchments P. Nicolle et al.
148. Étude de la sensibilité des paramètres d'un modèle «rural» sur des bassins versants urbanisés M. Saadi et al.
149. Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater T. Olarinoye et al.
150. Historical and future changes in global flood magnitude – evidence from a model–observation investigation H. Do et al.
151. Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets F. Kratzert et al.
152. Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C. Prieto et al.
153. Using Natural Experiments and Counterfactuals for Causal Assessment: River Salinity and the Ganges Water Agreement G. Penny et al.
154. Crossing the rural–urban boundary in hydrological modelling: How do conceptual rainfall–runoff models handle the specificities of urbanized catchments? M. Saadi et al.
155. CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data G. Sterle et al.
156. QUADICA v2: extending the large-sample data set for water QUAlity, DIscharge and Catchment Attributes in Germany P. Ebeling et al.
157. Is Catchment Classification Possible by Means of Multiple Model Structures? A Case Study Based on 99 Catchments in Germany R. Ley et al.
158. On the (im)possible validation of hydrogeological models V. Andréassian
159. Impact of spatiotemporal resolution of rainfall data on runoff simulations: case study for the widespread flood event in the Noto Peninsula in September 2024 T. ITO & T. YAMADA
160. Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe C. Donnelly et al.
161. Flood triggering in Switzerland: the role of daily to monthly preceding precipitation P. Froidevaux et al.
162. Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi-distributed approach F. Garavaglia et al.
163. Exploding the myths: An introduction to artificial neural networks for prediction and forecasting H. Maier et al.
164. How do geological map details influence the identification of geology-streamflow relationships in large-sample hydrology studies? T. do Nascimento et al.
165. A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies S. Lindersson et al.
166. Toward seamless hydrologic predictions across spatial scales L. Samaniego et al.
167. Crash tests for forward-looking flood control in the city of Zürich (Switzerland) M. Zappa et al.
168. Identification of factors influencing hydrologic model performance using a top‐down approach in a large number of U.S. catchments C. Massmann
169. Improvement and evaluation of the Iowa Flood Center Hillslope Link Model (HLM) by calibration-free approach F. Quintero et al.
170. Diagnostic Evaluation of Large‐Domain Hydrologic Models Calibrated Across the Contiguous United States O. Rakovec et al.
171. A Fast Generative Adversarial Network Combined With Transformer for Downscaling GRACE Terrestrial Water Storage Data in Southwestern China S. Gu et al.
172. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al.
173. A wavelet-based approach to streamflow event identification and modeled timing error evaluation E. Towler & J. McCreight
174. Deep learning for groundwater level simulation in unconfined aquifers across the contiguous United States: Analyzing simulations at multiple lead times and integrating groundwater signatures K. Boo et al.
175. Recession constants are non-stationary: Impacts of multi-annual drought on catchment recession behaviour and storage dynamics L. Trotter et al.
176. Using hydrological and climatic catchment clusters to explore drivers of catchment behavior F. Jehn et al.
177. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark
178. LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al.
179. Diagnostic calibration and cross‐catchment transferability of a simple process‐consistent hydrologic model T. Smith et al.
180. Event-based prediction of stream turbidity using a combined cluster analysis and classification tree approach A. Mather & R. Johnson
181. Computational approaches for annual maximum river flow series H. Tiwari et al.
182. Strength and Memory of Precipitation's Control Over Streamflow Across the Conterminous United States E. Moges et al.
183. CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland M. Höge et al.
184. Hydrological modelling of the Vistula and Odra river basins using SWAT M. Piniewski et al.
185. The Quantile Solidarity approach for the parsimonious regionalization of flow duration curves C. Poncelet et al.
186. Accounting for dependencies in regionalized signatures for predictions in ungauged catchments S. Almeida et al.
187. Scaling, similarity, and the fourth paradigm for hydrology C. Peters-Lidard et al.
188. Statistical Attribution of the Influence of Urban and Tree Cover Change on Streamflow: A Comparison of Large Sample Statistical Approaches B. Anderson et al.
189. How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology D. Bilolikar et al.
190. Characterizing Drought Behavior in the Colorado River Basin Using Unsupervised Machine Learning C. Talsma et al.
191. smash v1.0: a differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework F. Colleoni et al.
192. Identifying the connective strength between model parameters and performance criteria B. Guse et al.
193. Parameter's Controls of Distributed Catchment Models—How Much Information is in Conventional Catchment Descriptors? R. Merz et al.
194. Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms G. Papacharalampous et al.
195. Understanding the impacts of catchment characteristics on the shape of the storage capacity curve and its influence on flood flows H. Gao et al.
196. Virtual laboratories: new opportunities for collaborative water science S. Ceola et al.
197. Efficient estimation of flood forecast prediction intervals via single‐ and multi‐objective versions of the LUBE method L. Ye et al.
198. Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks A. Sun et al.
199. A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Z. Yin et al.
200. CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia K. Fowler et al.
201. Long‐Term Nitrate Trajectories Vary by Season in Western European Catchments P. Ebeling et al.
202. PARAMETER REGIONALIZATION BASED ON LAND-USE TYPES AND SOIL TYPES FOR A DISTRIBUTED RAINFALL-RUNOFF MODEL D. KATO et al.
203. Pitfalls of space-time trading when parametrizing a land use dependent hydrological model L. Oudin & M. Lalonde
204. On strictly enforced mass conservation constraints for modelling the Rainfall‐Runoff process J. Frame et al.
205. CAMELS-AUS v2: updated hydrometeorological time series and landscape attributes for an enlarged set of catchments in Australia K. Fowler et al.
206. Land Use Change Increases Streamflow Across the Arc of Deforestation in Brazil M. Levy et al.
207. Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain R. Lane et al.
208. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al.
209. Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study X. Zheng et al.
210. Panta Rhei: a decade of progress in research on change in hydrology and society H. Kreibich et al.
211. Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States E. Towler et al.
212. On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization H. Maier et al.
213. A surrogate-aided approach for accelerated Bayesian calibration of hydrologic models R. Arabzadeh et al.
214. What can we learn from the projections of changes of flow patterns? Results from Polish case studies M. Piniewski et al.
215. The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long‐Term Streamflow Components A. Ballarin et al.
216. The robustness of conceptual rainfall-runoff modelling under climate variability – A review H. Ji et al.
217. Full‐flow‐regime storage‐streamflow correlation patterns provide insights into hydrologic functioning over the continental US K. Fang & C. Shen
218. Mapping (dis)agreement in hydrologic projections L. Melsen et al.
219. Why do we have so many different hydrological models? A review based on the case of Switzerland P. Horton et al.
220. Using paired catchments to quantify the human influence on hydrological droughts A. Van Loon et al.