199 citations as recorded by crossref.

1. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
2. Understanding the hierarchical controls of geographical features on hydrological responses in humid mountainous areas through a stepwise clustering scheme Y. Yang et al. 10.1007/s00477-021-02080-3
3. Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone K. Cucchi et al. 10.3389/frwa.2021.700274
4. Integrating artificial intelligence and machine learning in hydrological modeling for sustainable resource management S. Marshall et al. 10.1080/15715124.2025.2478280
5. Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv M. Bui et al. 10.2166/wcc.2021.346
6. Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
7. Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River R. Imhoff et al. 10.1029/2019WR026807
8. Evaluating seasonal hydrological extremes in mesoscale (pre-)Alpine basins at coarse 0.5° and fine hyperresolution J. Buitink et al. 10.5194/hess-23-1593-2019
9. Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient U. Sepúlveda et al. 10.5194/hess-26-3419-2022
10. Impact on discharge modelling using different spatial and temporal resolution scenarios in South of Chile I. Fustos et al. 10.1016/j.jsames.2022.103727
11. CLUES model calibration and its implications for estimating contaminant attenuation A. Semadeni-Davies et al. 10.1016/j.agwat.2019.105853
12. Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin A. Akkala et al. 10.3390/hydrology12030060
13. HydroCAL: A novel integrated surface–subsurface hydrological model based on the Cellular Automata paradigm L. Furnari et al. 10.1016/j.advwatres.2024.104623
14. Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
15. Regionalisierung hydrologischer Modelle mit Function Space Optimization M. Feigl et al. 10.1007/s00506-021-00766-0
16. A multi-variable calibration framework at the grid scale for integrating streamflow with evapotranspiration data to improve the simulation of distributed hydrological model X. Guo et al. 10.1016/j.ejrh.2024.101944
17. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
18. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
19. Improvement of surface run‐off in the hydrological model ParFlow by a scale‐consistent river parameterization B. Schalge et al. 10.1002/hyp.13448
20. LSTM-FKAN coupled with feature extraction technique for Precipitation–Runoff modeling T. Li et al. 10.1016/j.jhydrol.2025.132705
21. Response of the winter soil moisture of different vegetation types to rainfall events in karst slope land E. Yuan et al. 10.2166/nh.2022.033
22. A modular and parallelized watershed modeling framework L. Zhu et al. 10.1016/j.envsoft.2019.104526
23. Using Particle Tracking to Understand Flow Paths, Age Distributions, and the Paradoxical Origins of the Inverse Storage Effect in an Experimental Catchment D. Wilusz et al. 10.1029/2019WR025140
24. A Calibration Framework for High‐Resolution Hydrological Models Using a Multiresolution and Heterogeneous Strategy R. Sun et al. 10.1029/2019WR026541
25. 100 Years of Progress in Hydrology C. Peters-Lidard et al. 10.1175/AMSMONOGRAPHS-D-18-0019.1
26. Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
27. Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends C. Gonzales-Inca et al. 10.3390/w14142211
28. Multimodal water age distributions and the challenge of complex hydrological landscapes N. Rodriguez et al. 10.1002/hyp.13770
29. Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams G. Lemaire et al. 10.3390/w13213002
30. Simulation and statistical modelling approaches to investigate hydrologic regime transformations following Eastern hemlock decline K. Singh et al. 10.1002/hyp.13666
31. Using isotopes to incorporate tree water storage and mixing dynamics into a distributed ecohydrologic modelling framework J. Knighton et al. 10.1002/eco.2201
32. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
33. Exploring the regolith with electrical resistivity tomography in large-scale surveys: electrode spacing-related issues and possibility L. Gourdol et al. 10.5194/hess-25-1785-2021
34. Automatic Regionalization of Model Parameters for Hydrological Models M. Feigl et al. 10.1029/2022WR031966
35. Investigating the projected changes in water balance components under climate change considering the effect of storage structures S. Nandi & M. Reddy 10.2166/wcc.2024.371
36. Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow M. Girotto et al. 10.1007/s40641-020-00159-7
37. Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment A. Nikitin et al. 10.1038/s41598-021-02564-w
38. Assessment of the impacts of climate change on groundwater evapotranspiration in mid-to-high latitude regions L. Serrano Diaz et al. 10.1016/j.jhydrol.2025.133294
39. Flood Risk Analysis in Gajah Wong River, Yogyakarta City S. Suprayogi et al. 10.14710/jil.22.4.1033-1040
40. Heterogeneous impacts of climate change on streamflow in typical watersheds of three mountain systems in Xinjiang, Northwest China C. Zan et al. 10.1016/j.jag.2025.104585
41. Opportunities and challenges for precipitation forcing data in post‐wildfire hydrologic modeling applications T. Partridge et al. 10.1002/wat2.1728
42. Enhanced LSTM Model for Daily Runoff Prediction in the Upper Huai River Basin, China Y. Man et al. 10.1016/j.eng.2021.12.022
43. Potential of remote sensing surface temperature- and evapotranspiration-based land-atmosphere coupling metrics for land surface model calibration J. Zhou et al. 10.1016/j.rse.2023.113557
44. A review of integrated surface-subsurface numerical hydrological models L. Shu et al. 10.1007/s11430-022-1312-7
45. Incorporating water quality into land use scenario analysis with random forest models R. Goodspeed et al. 10.1177/23998083221138842
46. Modeling for sustainable groundwater management: Interdependence and potential complementarity of process-based, data-driven and system dynamics approaches D. Secci et al. 10.1016/j.scitotenv.2024.175491
47. Assessing spatial transferability of a random forest metamodel for predicting drainage fraction E. Bjerre et al. 10.1016/j.jhydrol.2022.128177
48. Scaling, similarity, and the fourth paradigm for hydrology C. Peters-Lidard et al. 10.5194/hess-21-3701-2017
49. Increasing Hydroperiod in a Karst-depression Wetland Based on 165 Years of Simulated Daily Water Levels J. Cartwright & W. Wolfe 10.1007/s13157-021-01474-x
50. The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
51. Parameter estimation and uncertainty analysis in hydrological modeling P. Herrera et al. 10.1002/wat2.1569
52. Toward seamless hydrologic predictions across spatial scales L. Samaniego et al. 10.5194/hess-21-4323-2017
53. Identifying climate‐resistant vernal pools: Hydrologic refugia for amphibian reproduction under droughts and climate change J. Cartwright et al. 10.1002/eco.2354
54. Impact of Rain Gauge Density on Flood Forecasting Performance: A PBDHM’s Perspective Z. Huang & Y. Chen  10.3390/w17010018
55. Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF‐Hydro System T. Lahmers et al. 10.1029/2021WR029867
56. Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting F. Hernández & X. Liang 10.5194/hess-22-5759-2018
57. Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
58. Adapting cities to the surge: A comprehensive review of climate-induced urban flooding G. Dharmarathne et al. 10.1016/j.rineng.2024.102123
59. Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama C. Koven et al. 10.5194/bg-17-3017-2020
60. Asynchronous cellular automata subsurface flow simulations in two- and three-dimensional heterogeneous soils L. Furnari et al. 10.1016/j.advwatres.2021.103952
61. Enhancing Runoff Simulation Using BTOP-LSTM Hybrid Model in the Shinano River Basin S. Nimai et al. 10.3390/w15213758
62. Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. 10.1016/j.advwatres.2020.103667
63. Prediction of Flow Based on a CNN-LSTM Combined Deep Learning Approach P. Li et al. 10.3390/w14060993
64. Improving cascade reservoir inflow forecasting and extracting insights by decomposing the physical process using a hybrid model J. Li et al. 10.1016/j.jhydrol.2024.130623
65. A review of flash‐floods management: From hydrological modeling to crisis management S. Sadkou et al. 10.1111/jfr3.12999
66. Coupling SWAT and LSTM for Improving Daily Streamflow Simulation in a Humid and Semi-humid River Basin Z. Mei et al. 10.1007/s11269-024-03975-w
67. Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements U. Ehret et al. 10.5194/hess-24-4389-2020
68. Guidance on large scale hydrologic model calibration with isotope tracers T. Holmes et al. 10.1016/j.jhydrol.2023.129604
69. Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling X. Yang et al. 10.1029/2019WR025575
70. Evaluating performance dependency of a geomorphologic instantaneous unit hydrograph-based hydrological model on DEM resolution C. Yao et al. 10.1016/j.wse.2022.04.002
71. Connecting the Dots: How Ecohydrological Connectivity Can Support Remote Sensing and Modeling to Inform Management of Woody Plant Encroachment H. Schmidt et al. 10.1016/j.rama.2024.05.001
72. Upscaling Tracer‐Aided Ecohydrological Modeling to Larger Catchments: Implications for Process Representation and Heterogeneity in Landscape Organization X. Yang et al. 10.1029/2022WR033033
73. Enhancing streamflow predictions in coastal watersheds with a multisite calibration approach in the matagorda bay watershed, texas N. Melaku et al. 10.1016/j.ecohyd.2025.01.003
74. A Pareto‐Based Sensitivity Analysis and Multiobjective Calibration Approach for Integrating Streamflow and Evaporation Data P. Yeste et al. 10.1029/2022WR033235
75. Application of hydrological models in climate change framework for a river basin in India R. Vogeti et al. 10.2166/wcc.2023.188
76. Assessing Streamflow Sensitivity to Precipitation Variability in Karst‐Influenced Catchments With Unclosed Water Balances Y. Liu et al. 10.1029/2020WR028598
77. Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. 10.5194/gmd-14-3843-2021
78. Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion G. Gunn et al. 10.3389/frsen.2021.675846
79. 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. 10.1016/j.ejrh.2022.101088
80. Visualization and ecohydrologic models: Opening the box C. Tague & J. Frew 10.1002/hyp.13991
81. Commemorating the 50th anniversary of the Freeze and Harlan (1969) Blueprint for a physically-based, digitally-simulated hydrologic response model C. Simmons et al. 10.1016/j.jhydrol.2019.124309
82. Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. 10.5194/hess-26-4323-2022
83. Does grouping watersheds by hydrographic regions offer any advantages in fine-tuning transfer learning model for temporal and spatial streamflow predictions? Y. Khoshkalam et al. 10.1016/j.jhydrol.2024.132540
84. Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative assessment A. Khatun et al. 10.1016/j.jhydrol.2023.129199
85. Are LSTM and conceptual rainfall-runoff models able to cope with limited training datasets under diverse hydrometeorological conditions? F. Boodoo et al. 10.1007/s40808-025-02316-z
86. Flood hazard mapping methods: A review R. Mudashiru et al. 10.1016/j.jhydrol.2021.126846
87. Testing Soil Moisture Performance Measures in the Conceptual‐Functional Equivalent to the WRF‐Hydro National Water Model R. Araki et al. 10.1111/1752-1688.70002
88. Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. 10.5194/hess-25-3937-2021
89. Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. 10.5194/hess-26-3151-2022
90. Forecasting Gate-Front Water Levels Using a Coupled GRU–TCN–Transformer Model and Permutation Entropy Algorithm J. Zhao et al. 10.3390/w16223310
91. A Hybrid Model Integrating Elman Neural Network with Variational Mode Decomposition and Box–Cox Transformation for Monthly Runoff Time Series Prediction F. Zhang et al. 10.1007/s11269-022-03220-2
92. Climate storylines as a way of bridging the gap between information and decision-making in hydrological risk D. Caviedes-Voullième et al. 10.1371/journal.pclm.0000270
93. A Multi-model Framework for Streamflow Forecasting Based on Stochastic Models: an Application to the State Of Ceará, Brazil L. Rolim et al. 10.1007/s41101-023-00184-1
94. The temporally varying roles of rainfall, snowmelt and soil moisture for debris flow initiation in a snow-dominated system K. Mostbauer et al. 10.5194/hess-22-3493-2018
95. The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
96. IMPLEMENTATION OF AN INTEGRATED MONITORING SYSTEM TO ENSURE THE ENVIRONMENTAL SAFETY OF WATER RESOURCES A. Hienova et al. 10.52363/2522-1892.2023.1.4
97. Customizing large-scale hydrological models: Harnessing the open data realm for impactful local applications I. Pechlivanidis & J. Musuuza 10.1016/j.ejrh.2025.102390
98. Developing a predictive science of the biosphere requires the integration of scientific cultures B. Enquist et al. 10.1073/pnas.2209196121
99. A New Whole Life Cycle Index System for Evaluation of Runoff Forecasting X. Yuan et al. 10.1007/s11269-023-03728-1
100. Parallelization of a two-dimensional time-area watershed routing Y. Her et al. 10.1016/j.envsoft.2021.105222
101. Is hillslope-based catchment decomposition approach superior to hydrologic response unit (HRU) for stream-aquifer interaction modelling: Inference from two process-based coupled models S. Sahoo & B. Sahoo 10.1016/j.jhydrol.2020.125588
102. The physics of river prediction S. Fleming & H. Gupta 10.1063/PT.3.4523
103. Optimizing parameter learning and calibration in an integrated hydrological model: Impact of observation length and information P. Jiang et al. 10.1016/j.jhydrol.2024.131889
104. Accuracy assessment of late winter snow depth mapping for tundra environments using Structure-from-Motion photogrammetry B. Walker et al. 10.1139/as-2020-0006
105. STH-net: a soil monitoring network for process-based hydrological modelling from the pedon to the hillslope scale E. Martini et al. 10.5194/essd-13-2529-2021
106. This River Is a Model L. Yarina 10.22269/240213
107. Simple process-led algorithms for simulating habitats (SPLASH v.2.0): robust calculations of water and energy fluxes D. Sandoval et al. 10.5194/gmd-17-4229-2024
108. Improving the Accuracy of Dam Inflow Predictions Using a Long Short-Term Memory Network Coupled with Wavelet Transform and Predictor Selection T. Tran et al. 10.3390/math9050551
109. High Resolution Water Table Modeling of the Shallow Groundwater Using a Knowledge-Guided Gradient Boosting Decision Tree Model J. Koch et al. 10.3389/frwa.2021.701726
110. Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al. 10.5194/hess-26-4407-2022
111. Data- and Model-Based Discharge Hindcasting over a Subtropical River Basin K. Billah et al. 10.3390/w13182560
112. A Neural Network-Based Hydrological Model for Very High-Resolution Forecasting Using Weather Radar Data L. Santos et al. 10.3390/eng4030101
113. Decoding uranium variation over the Indian peninsula through leveraging standardized precipitation evapotranspiration indices and groundwater level fluctuations D. Panday & M. Kumar 10.1016/j.gsd.2024.101241
114. A Systematic Evaluation of Noah‐MP in Simulating Land‐Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States N. Ma et al. 10.1002/2017JD027597
115. How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
116. Flexible vector-based spatial configurations in land models S. Gharari et al. 10.5194/hess-24-5953-2020
117. A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records T. Roksvåg et al. 10.5194/hess-26-5391-2022
118. Evolution and attribution of ecological flow in the Xiangjiang River basin since 1961 W. Guo et al. 10.1007/s11356-023-29626-y
119. On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation T. Wagener et al. 10.1002/wat2.1550
120. Dual-modality Encoder-decoder Framework for Urban Real-time Rainfall-runoff Prediction Y. Tian et al. 10.1007/s11269-025-04166-x
121. Modeling land-atmosphere energy and water exchanges in the typical alpine grassland in Tibetan Plateau using Noah-MP N. Ma 10.1016/j.ejrh.2023.101596
122. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. 10.5194/gmd-17-3199-2024
123. Regional stream temperature modeling in pristine Atlantic salmon rivers: A hybrid deterministic–Machine Learning approach I. Hani et al. 10.1016/j.ejrh.2025.102373
124. Catchment Functioning Under Prolonged Drought Stress: Tracer‐Aided Ecohydrological Modeling in an Intensively Managed Agricultural Catchment X. Yang et al. 10.1029/2020WR029094
125. A physically constrained wavelet‐aided statistical model for multi‐decadal groundwater dynamics predictions F. Gordu & M. Nachabe 10.1002/hyp.14308
126. Toward More Actionable Flood‐Risk Information C. Cooper et al. 10.1029/2022EF003093
127. Large‐Domain Multisite Precipitation Generation: Operational Blueprint and Demonstration for 1,000 Sites S. Papalexiou et al. 10.1029/2022WR034094
128. Multiagent System and Rainfall-Runoff Model in Hydrological Problems: A Systematic Literature Review B. Leitzke & D. Adamatti 10.3390/w13243643
129. Different calibration procedures for flows estimation using SWAT model L. Moreira et al. 10.1080/23249676.2020.1787246
130. A review of models for simulating the soil-plant interface for different climatic conditions and land uses in the Loess Plateau, China T. Turkeltaub et al. 10.1016/j.ecolmodel.2022.110173
131. Frequency domain water table fluctuations reveal impacts of intense rainfall and vadose zone thickness on groundwater recharge L. Guillaumot et al. 10.5194/hess-26-5697-2022
132. Historical development of rainfall‐runoff modeling M. Peel & T. McMahon 10.1002/wat2.1471
133. Influence of forest canopy structure and wind flow on patterns of sub‐canopy snow accumulation in montane needleleaf forests J. Staines & J. Pomeroy 10.1002/hyp.15005
134. Improving global flood and drought predictions: integrating non-floodplain wetlands into watershed hydrologic models H. Golden et al. 10.1088/1748-9326/ac1fbc
135. Theory and the future of land-climate science M. Byrne et al. 10.1038/s41561-024-01553-8
136. Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe B. Naz et al. 10.5194/gmd-16-1617-2023
137. Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks F. Kratzert et al. 10.5194/hess-22-6005-2018
138. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
139. Watershed Hydrology: Scientific Advances and Environmental Assessments X. Yu & C. Duffy 10.3390/w10030288
140. Random forest-based modeling of stream nutrients at national level in a data-scarce region H. Virro et al. 10.1016/j.scitotenv.2022.156613
141. Modelling Waterlogging Impacts on Crop Growth: A Review of Aeration Stress Definition in Crop Models and Sensitivity Analysis of APSIM F. Githui et al. 10.3390/ijpb13030017
142. Integrating geographic data and the SCS-CN method with LSTM networks for enhanced runoff forecasting in a complex mountain basin M. Merizalde et al. 10.3389/frwa.2023.1233899
143. Corroboration of arsenic variation over the Indian Peninsula through standardized precipitation evapotranspiration indices and groundwater level fluctuations: Water quantity indicators for water quality prediction D. Panday et al. 10.1016/j.scitotenv.2024.176339
144. Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithms K. Khosravi et al. 10.1080/02626667.2021.1928673
145. Bridging the gap from hydrological to biogeochemical processes using tracer-aided hydrological models in a tropical montane ecosystem J. Pesántez et al. 10.1016/j.jhydrol.2023.129328
146. Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning R. Imhoff et al. 10.1029/2021WR031591
147. Workflow for hydrologic modelling with sUAS-acquired aerial imagery D. Beene et al. 10.1080/10106049.2019.1648562
148. Evaluation of flood prediction capability of the distributed Grid‐Xinanjiang model driven by weather research and forecasting precipitation C. Yao et al. 10.1111/jfr3.12544
149. From threat to opportunity: Hydrologic uncertainty regionalization across large domains S. Pokorny et al. 10.1016/j.ejrh.2024.101819
150. The value of simplified models for spin up of complex models with an application to subsurface hydrology D. Erdal et al. 10.1016/j.cageo.2019.01.014
151. Combining Hydrological Models and Remote Sensing to Characterize Snowpack Dynamics in High Mountains J. Ougahi & J. Rowan 10.3390/rs16020264
152. SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics D. Caviedes-Voullième et al. 10.5194/gmd-16-977-2023
153. Structural differences across hydrological models affect certainty of predictions of nature-based solution benefits A. Rebelo et al. 10.1016/j.ecolmodel.2024.110940
154. A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments P. Yeste et al. 10.5194/hess-28-5331-2024
155. From engineering hydrology to Earth system science: milestones in the transformation of hydrologic science M. Sivapalan 10.5194/hess-22-1665-2018
156. Flood Early Warning Systems Using Machine Learning Techniques: The Case of the Tomebamba Catchment at the Southern Andes of Ecuador P. Muñoz et al. 10.3390/hydrology8040183
157. Assessing the hydrologic response to wildfires in mountainous regions A. Havel et al. 10.5194/hess-22-2527-2018
158. Are Model Transferability And Complexity Antithetical? Insights From Validation of a Variable‐Complexity Empirical Snow Model in Space and Time A. Lute & C. Luce 10.1002/2017WR020752
159. Upscaling Hydrological Processes for Land Surface Models With a Two‐Hydrologic‐Variable Model: Application to the Little Washita Watershed F. Picourlat et al. 10.1029/2021WR030997
160. The Tyranny of Small Scales—On Representing Soil Processes in Global Land Surface Models D. Or 10.1029/2019WR024846
161. Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado P. Jiang et al. 10.5194/hess-27-2621-2023
162. A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs V. Ngoc Tran et al. 10.1016/j.jhydrol.2024.130608
163. Reconstructing Long-Term Daily Streamflow Data at the Discontinuous Monitoring Station in the Ungauged Transboundary Basin Using Machine Learning V. Tran et al. 10.1007/s11269-025-04109-6
164. Is ET often oversimplified in hydrologic models? Using long records to elucidate unaccounted for controls on ET C. Kelleher & S. Shaw 10.1016/j.jhydrol.2017.12.018
165. The potential to reduce uncertainty in regional runoff projections from climate models F. Lehner et al. 10.1038/s41558-019-0639-x
166. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al. 10.1175/JHM-D-21-0167.1
167. Does Flash Flood Model Performance Increase with Complexity? Signature and Sensitivity-Based Comparison of Conceptual and Process-Oriented Models on French Mediterranean Cases A. Haruna et al. 10.3390/hydrology9080141
168. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
169. Parameterization in hydrological models through clustering of the simulation time period and multi-objective optimization based calibration L. G. & K. Sudheer 10.1016/j.envsoft.2021.104981
170. Dealing with sub-pixel landscape elements in distributed rainfall-runoff modelling in agricultural catchments I. Rosier et al. 10.1016/j.iswcr.2025.02.009
171. On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration S. Wi & S. Steinschneider 10.5194/hess-28-479-2024
172. Spatio‐temporal discretization uncertainty of distributed hydrological models S. Markhali et al. 10.1002/hyp.14635
173. Recession discharge from compartmentalized bedrock hillslopes C. Roques et al. 10.5194/hess-26-4391-2022
174. Regional-scale assessment of groundwater recharge and the water balance for Austria H. Zeitfogel et al. 10.1016/j.ejrh.2025.102297
175. Effects of Climate and Anthropogenic Drivers on Surface Water Area in the Southeastern United States M. Gaines et al. 10.1029/2021WR031484
176. Utilization of the Long Short-Term Memory network for predicting streamflow in ungauged basins in Korea J. Choi et al. 10.1016/j.ecoleng.2022.106699
177. ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data P. Hosseinzadeh et al. 10.3390/hydrology10020029
178. The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long‐Term Streamflow Components A. Ballarin et al. 10.1029/2022WR032413
179. Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. 10.1029/2021WR031149
180. The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
181. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
182. Remote sensing-enabled machine learning for river water quality modeling under multidimensional uncertainty S. Rahat et al. 10.1016/j.scitotenv.2023.165504
183. Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets M. Dembélé et al. 10.1029/2019WR026085
184. Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions K. Tripathy & A. Mishra 10.1016/j.jhydrol.2023.130458
185. A simple, dynamic, hydrological model for mesotidal salt marshes D. Marois & H. Stecher 10.1016/j.ecss.2019.106486
186. Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
187. Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
188. Near-real-time satellite precipitation data ingestion into peak runoff forecasting models P. Muñoz et al. 10.1016/j.envsoft.2022.105582
189. Using MODIS estimates of fractional snow cover area to improve streamflow forecasts in interior Alaska K. Bennett et al. 10.5194/hess-23-2439-2019
190. Deep Learning for Streamflow Regionalization for Ungauged Basins: Application of Long-Short-Term-Memory Cells in Semiarid Regions F. Nogueira Filho et al. 10.3390/w14091318
191. Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review M. Ali et al. 10.3390/rs15061642
192. Fill‐and‐Spill: A Process Description of Runoff Generation at the Scale of the Beholder J. McDonnell et al. 10.1029/2020WR027514
193. Exploring Tracer Information and Model Framework Trade‐Offs to Improve Estimation of Stream Transient Storage Processes C. Kelleher et al. 10.1029/2018WR023585
194. VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. 10.1029/2020WR028435
195. A New Fully Distributed Model of Nitrate Transport and Removal at Catchment Scale X. Yang et al. 10.1029/2017WR022380
196. Enabling dynamic emulation of high-dimensional model outputs: Demonstration for Mexico City groundwater management J. Tracy et al. 10.1016/j.envsoft.2021.105238
197. Evaluating the effect of data-richness and model complexity in the prediction of coastal sediment loading in Solomon Islands N. Hutley et al. 10.1088/1748-9326/abc8ba
198. An Integrated Modeling Approach to Assess Best Management Practices (BMPs) for Improving Stream Water Quality Using the MapShed and WASP8 Models A. Muhammetoglu et al. 10.1007/s11269-023-03655-1
199. Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model R. Lane et al. 10.1029/2020WR028393