167 citations as recorded by crossref.

1. Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions D. Klotz et al.
2. New objective functions for streamflow calibrations to specific model applications H. Il Choi
3. Variability in flow and tracer-based performance metric sensitivities reveal regional differences in dominant hydrological processes across the Athabasca River basin T. Holmes et al.
4. Hydrological Model Calibration in Data-Scarce Mediterranean Catchments: A Comparative Assessment of Three Strategies A. Jahanshahi et al.
5. Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system A. Newman et al.
6. Friends don't let friends use Nash-Sutcliffe Efficiency (NSE) or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice G. Williams
7. Advancement of a Blended Hydrologic Model for Robust Model Performance R. Chlumsky et al.
8. Toward Monitoring Short-Term Droughts Using a Novel Daily Scale, Standardized Antecedent Precipitation Evapotranspiration Index J. Li et al.
9. Hydrological Whiplash: Highlighting the Need for Better Understanding and Quantification of Sub‐Seasonal Hydrological Extreme Transitions J. Hammond et al.
10. Event-based training data thresholds for BiLSTM versus Xinanjiang models: Insights from the applications of 19 Chinese catchments Y. Li et al.
11. How well do hydrological models simulate streamflow extremes and drought-to-flood transitions? E. Muñoz-Castro et al.
12. A rational performance criterion for hydrological model D. Liu
13. Predicting annual peak daily streamflow in natural basins using quantile regression forests K. Kim et al.
14. The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada H. Yan et al.
15. Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models M. Brunner et al.
16. Evaluation of the hydrological utility of the GPM IMERG satellite precipitation products H. Meng & T. Zhao
17. Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships K. Xie et al.
18. Disparate Seasonal Nitrate Export From Nested Heterogeneous Subcatchments Revealed With StorAge Selection Functions T. Nguyen et al.
19. A Data- and Knowledge-Driven Method for Fusing Satellite-Derived and Ground-Based Precipitation Observations F. Chen et al.
20. Establishing performance criteria for evaluating watershed-scale sediment and nutrient models at fine temporal scales A. Pandit et al.
21. Interpretable residual-informed hybrid physics-informed machine learning framework for runoff prediction in a typical karst basin in southwest China C. Mo et al.
22. Streamflow simulation improvements enabled by a state‐of‐the‐art algorithm for reservoir routing in the U.S. National Water Model D. Li et al.
23. Exploring an Alternative Configuration of the Hydroclimatic Modeling Chain, Based on the Notion of Asynchronous Objective Functions S. Ricard et al.
24. Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores W. Knoben et al.
25. Ten strategies towards successful calibration of environmental models J. Mai
26. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al.
27. Guidance on large scale hydrologic model calibration with isotope tracers T. Holmes et al.
28. Performance dependence of multi-model combination methods on hydrological model calibration strategy and ensemble size Y. Wan et al.
29. Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al.
30. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard
31. Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall–runoff models E. Muñoz-Castro et al.
32. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid hydrological modeling framework H. Llauca et al.
33. 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.
34. When best is the enemy of good – critical evaluation of performance criteria in hydrological models G. Cinkus et al.
35. CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data G. Sterle et al.
36. Partitioning uncertainties of extreme flood estimates using long continuous simulations E. Kritidou et al.
37. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro
38. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al.
39. Forcing uncertainty and salinity response to dredging in a tidal freshwater river R. Miller
40. Multi-step regional rainfall-runoff modeling using pyramidal transformer H. Yin et al.
41. Deep learning algorithms and their fuzzy extensions for streamflow prediction in climate change framework R. Vogeti et al.
42. A process-driven deep learning hydrological model for daily rainfall-runoff simulation H. Li et al.
43. Quality Assessment of Small Urban Catchments Stormwater Models: A New Approach Using Old Metrics L. David & T. Mota
44. A time-varying distributed unit hydrograph method considering soil moisture B. Yi et al.
45. Dual-Phase Calibration for Surface–Subsurface Hydrologic Models with Diverse Hydrologic Conditions S. Abbas et al.
46. Frequency-based performance measure for hydrologic model evaluation R. Teegavarapu et al.
47. Evaluating the contributions of climate change and human activities to runoff in typical semi-arid area, China L. Wu et al.
48. An integrated approach to streamflow estimation and flood inundation mapping using VIC, RAPID and LISFLOOD-FP S. Nandi & M. Reddy
49. Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process K. Chong et al.
50. A watershed-scale multi-approach assessment of design flood discharge estimates used in hydrologic risk analyses for forest road stream crossings and culverts S. Mukherjee et al.
51. Using multi-event hydrologic and hydraulic signatures from water level sensors to diagnose locations of uncertainty in integrated urban drainage models used in living digital twins A. Pedersen et al.
52. ‘Teflon Basin’ or Not? A High-Elevation Catchment Transit Time Modeling Approach J. Schmieder et al.
53. Development of objective function-based ensemble model for streamflow forecasts Y. Lin et al.
54. RR-Former: Rainfall-runoff modeling based on Transformer H. Yin et al.
55. Calibration of ECMWF SEAS5 based streamflow forecast in Seasonal hydrological forecasting for Citarum river basin, West Java, Indonesia D. Ratri et al.
56. Towards a generic model evaluation metric for non-normally distributed measurements in water quality and ecosystem models T. Fu & C. Zhang
57. Leveraging River Network Topology and Regionalization to Expand SWOT-Derived River Discharge Time Series in the Mississippi River Basin C. Nickles & E. Beighley
58. Harnessing multi-source hydro-meteorological data for high flows modelling in a partially glacierized Himalayan basin D. De Santis et al.
59. Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone? A. Todorović et al.
60. Improving the prediction of daily reservoir releases over the CONUS using conditioned LSTM H. Tran et al.
61. Factors influencing calibration of a semi-distributed mixed runoff hydrological model: A study on nine small mountain catchments in China L. Wen et al.
62. Revising calibration of a lumped watershed model to simulate extreme streamflow A. Patil et al.
63. Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations A. Alexander et al.
64. A hybrid hydrologic modeling framework-role of spatial resolution, calibration approaches and error modeling S. Guniganti et al.
65. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al.
66. Evaluation of best management practices for mitigating harmful algal blooms risk in an agricultural lake basin using a watershed model integrated with Bayesian Network approach D. Liu et al.
67. Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes S. Ruzzante et al.
68. When does a parsimonious model fail to simulate floods? Learning from the seasonality of model bias P. Astagneau et al.
69. Enhanced Streamflow Prediction Using a Hybrid CNN-LSTM Model: Integrating Climate-Driven Spatio-Temporal Features in a Deep Learning Framework S. Shahariar et al.
70. Joint Failure Probability of Dams Based on Probabilistic Flood Hazard Analysis M. Montgomery et al.
71. Coupled Cellular automata – Snowmelt Runoff Model: A Novel Framework for Assessing Climate Change Impacts on Streamflow J. Hidalgo-Hidalgo et al.
72. The Abuse of Popular Performance Metrics in Hydrologic Modeling M. Clark et al.
73. Which range of streamflow data is most informative in the calibration of an hourly hydrological model? M. Saadi & C. Furusho-Percot
74. A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019 H. Tran et al.
75. How could climate change affect the magnitude, duration and frequency of hydrological droughts and floods in West Africa during the 21st century? A storyline approach J. Ekolu et al.
76. Requirements for Flood-Driven Forecasting Systems for Small and Medium-Sized Catchments in Germany J. Leandro et al.
77. Performance Evaluation of the SRM and GRxJ—CemaNeige Models for Daily Streamflow Simulation in Two Catchments with Snow and Rain Dominated Hydrological Regimes B. Rivas et al.
78. Opportunities and challenges in using catchment-scale storage estimates from cosmic ray neutron sensors for rainfall-runoff modelling K. Dimitrova-Petrova et al.
79. Instream constructed wetland capacity at controlling phosphorus outflow under a long‐term nutrient loading scenario: approach using SWAT model C. Sohoulande Djebou et al.
80. Assessing Objective Functions in Streamflow Prediction Model Training Based on the Naïve Method Y. Lin et al.
81. A review of hydrologic signatures and their applications H. McMillan
82. A novel multi-objective model calibration method for ecohydrological applications J. Hernandez-Suarez et al.
83. Assessment of Different Satellite-Based Precipitation Products Over Southwestern Haiti M. Clerge Pierre & S. Taner
84. The proper care and feeding of CAMELS: How limited training data affects streamflow prediction M. Gauch et al.
85. Lead-time-dependent calibration of a flood forecasting model P. Astagneau et al.
86. Flood frequency sampling error: insights from regional analysis, stochastic storm transposition, and physics-based modeling M. Abbasian et al.
87. Combining uncertainty quantification and entropy-inspired concepts into a single objective function for rainfall-runoff model calibration A. Pizarro et al.
88. Applications of machine learning for peripheral artery disease diagnosis and management: A systematic review N. Aant et al.
89. A flood peak prediction in data-scarce mountain river basins considering the time distribution of rainfall S. Li et al.
90. Extreme floods in Europe: going beyond observations using reforecast ensemble pooling M. Brunner & L. Slater
91. On the selection of precipitation products for the regionalisation of hydrological model parameters O. Baez-Villanueva et al.
92. Modeling of Future Streamflow Hazards in Interior Alaska River Systems and Implications for Applied Planning A. Bennett et al.
93. Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al.
94. Performance of different reanalysis rainfall datasets and hydrological models in gap-filling for Mpologoma catchment in Eastern Uganda M. Twinomuhangi et al.
95. Influence of Calibration Parameter Selection on Flash Flood Simulation for Small to Medium Catchments with MISDc-2L Model N. Nguyen et al.
96. Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al.
97. HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin F. Kratzert et al.
98. OpenBench: a land model evaluation system Z. Wei et al.
99. Assessing the performance and robustness of two conceptual rainfall-runoff models on a worldwide sample of watersheds T. Mathevet et al.
100. HYGRID-M: A grid-based hydrological balance model for water management at River Basin District scale H. Aung et al.
101. Combined use of crop yield statistics and remotely sensed products for enhanced simulations of evapotranspiration within an agricultural watershed S. Lee et al.
102. In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance M. Gauch et al.
103. Is smart sampling worth it? Impact of training data selection on the performance of LSTMs in streamflow prediction B. Heudorfer & R. Loritz
104. Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites H. Cheng et al.
105. Rainfall–runoff modelling in a tropical climate (Citarum basin, West Java, Indonesia): Model and climate data intercomparison G. Vesuviano et al.
106. Development of a macroscale distributed hydro-modeling method: Bayesian principal-monotonicity inference G. Cheng et al.
107. Advancing objective functions in hydrological modelling: Integrating knowable moments for improved simulation accuracy A. Pizarro & J. Jorquera
108. Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al.
109. Over 100 global climate sensitive rivers are experiencing large and severe changes in streamflow volume and timing R. Patil et al.
110. Modelling the impacts of future coal mining and coal seam gas extraction on river flows: A methodological framework N. Viney et al.
111. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues
112. Enhancing flood peak simulation in data-scarce mountain river basins: the CRFMODEL framework S. Li et al.
113. Integration of Generative-Adversarial-Network-Based Data Compaction and Spatial Attention Transductive Long Short-Term Memory for Improved Rainfall–Runoff Modeling B. Ghanati & J. Serra-Sagristà
114. A rebalanced performance criterion for hydrological model calibration J. Lee & H. Choi
115. Introducing the Model Fidelity Metric (MFM) for robust and diagnostic land surface model evaluation Z. Wu et al.
116. Empowering Regional Rainfall-Runoff Modeling Through Encoder–Decoder Based on Convolutional Neural Networks W. Jiang et al.
117. The effect of the construction method on the tombolo process at Palabuhanratu seaport E. Nugroho et al.
118. Teaching hydrological modelling: illustrating model structure uncertainty with a ready-to-use computational exercise W. Knoben & D. Spieler
119. smash v1.0: a differentiable and regionalizable high-resolution hydrological modeling and data assimilation framework F. Colleoni et al.
120. Quantification of global Digital Elevation Model (DEM) – A case study of the newly released NASADEM for a river basin in Central Vietnam T. Tran et al.
121. Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets F. Kratzert et al.
122. Towards an Indian land data assimilation system (ILDAS): A coupled hydrologic-hydraulic system for water balance assessments B. Magotra et al.
123. Hydrological performance of the ERA5 reanalysis for flood modeling in Tunisia with the LISFLOOD and GR4J models E. Cantoni et al.
124. Does the performance enhancement through multi-model averaging at the catchment outlet gets translated to the interior ungauged points? S. Dusa et al.
125. Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths M. Fathi et al.
126. PISCO_HyM_GR2M: A Model of Monthly Water Balance in Peru (1981–2020) H. Llauca et al.
127. Diagnostic Evaluation of Large‐Domain Hydrologic Models Calibrated Across the Contiguous United States O. Rakovec et al.
128. Regionalization of catchment hydrological model parameters for global water resources simulations W. Qi et al.
129. A comprehensive method for error separation in hydrological modelling Y. Zhao et al.
130. A Holistic Modelling Approach for the Estimation of Return Levels of Peak Flows in Bavaria F. Willkofer et al.
131. Improved Streamflow Calibration of a Land Surface Model by the Choice of Objective Functions—A Case Study of the Nakdong River Watershed in the Korean Peninsula J. Lee & H. Choi
132. An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region T. Bu et al.
133. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al.
134. Achieving high-quality probabilistic predictions from hydrological models calibrated with a wide range of objective functions J. Hunter et al.
135. Assessing the role of location and scale of Nature Based Solutions for the enhancement of low flows J. Fennell et al.
136. Runoff from an extensive green roof during extreme events: Insights from 15 years of observations K. Paus & B. Braskerud
137. Towards parameter estimation in global hydrological models J. Kupzig et al.
138. Catchment response to intense rainfall: Evaluating modelling hypotheses P. Astagneau et al.
139. Machine Learning for Flood Resiliency—Current Status and Unexplored Directions V. Uddameri & E. Hernandez
140. Using high level validation to increase lake ecosystem model reliability S. Regev et al.
141. Review of Recent Developments in Hydrologic Forecast Merging Techniques M. Sheikh & P. Coulibaly
142. Assessing the performance of single and multi-criteria calibration approaches for hydrological modelling: a comparative analysis S. Dal Sasso et al.
143. A coupled streamflow and water temperature (VIC-RBM-CE-QUAL-W2) model for the Nechako Reservoir S. Larabi et al.
144. Time variable effectiveness and cost-benefits of different nature-based solution types and design for drought and flood management J. Fennell et al.
145. Evaluating an Earth system model from a water manager perspective M. Tye et al.
146. A hydrological model skill score and revised R-squared C. Onyutha
147. A multi‐objective approach to select hydrological models and constrain structural uncertainties for climate impact assessments D. Saavedra et al.
148. From empirical to physical constraints: Revisiting the structure of monthly water balance models with global evaluation Z. Ning et al.
149. Representing hydrological processes in a Norwegian catchment using SWAT+ : leveraging soft data as process-based constraints in calibration M. Shafiei et al.
150. Constraining Flood Forecasting Uncertainties through Streamflow Data Assimilation in the Tropical Andes of Peru: Case of the Vilcanota River Basin H. Llauca et al.
151. Improving process-based prediction of stream water temperature in SWAT using semi-Lagrangian formulation N. Melaku et al.
152. Regional-scale assessment of groundwater recharge and the water balance for Austria H. Zeitfogel et al.
153. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al.
154. Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al.
155. Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al.
156. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling L. Gu et al.
157. Neglecting Model Parametric Uncertainty Can Drastically Underestimate Flood Risks S. Sharma et al.
158. Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods N. Huynh et al.
159. Evaluation of six latest precipitation datasets for extreme precipitation estimates and hydrological application across various climate regions in China Y. Wan et al.
160. Modelling the effectiveness of land‐based natural flood management in a large, permeable catchment S. Collins et al.
161. Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al.
162. An extremeness threshold determines the regional response of floods to changes in rainfall extremes M. Brunner et al.
163. Runoff for Russia (RFR v1.0): The Large-Sample Dataset of Simulated Runoff and Its Characteristics G. Ayzel
164. Improved evapotranspiration estimation using the Penman-Monteith equation with a deep learning (DNN) model over the dry southwestern US: Comparison with ECOSTRESS, MODIS, and OpenET M. Jawad et al.
165. Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al.
166. Generating interpretable rainfall-runoff models automatically from data T. Dantzer & B. Kerkez
167. Meshless Model for Wave-Induced Oscillatory Seabed Response around a Submerged Breakwater Due to Regular and Irregular Wave Loading D. Jeng et al.