94 citations as recorded by crossref.

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25. Catchment Functioning Under Prolonged Drought Stress: Tracer‐Aided Ecohydrological Modeling in an Intensively Managed Agricultural Catchment X. Yang et al. 10.1029/2020WR029094
26. A physically constrained wavelet‐aided statistical model for multi‐decadal groundwater dynamics predictions F. Gordu & M. Nachabe 10.1002/hyp.14308
27. Multiagent System and Rainfall-Runoff Model in Hydrological Problems: A Systematic Literature Review B. Leitzke & D. Adamatti 10.3390/w13243643
28. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions A. Rajib et al. 10.1029/2019WR026561
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33. 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
34. A Calibration Framework for High‐Resolution Hydrological Models Using a Multiresolution and Heterogeneous Strategy R. Sun et al. 10.1029/2019WR026541
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40. Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models M. Feigl et al. 10.1029/2020WR027385
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42. Data-Driven System Dynamics Model for Simulating Water Quantity and Quality in Peri-Urban Streams G. Lemaire et al. 10.3390/w13213002
43. Simulation and statistical modelling approaches to investigate hydrologic regime transformations following Eastern hemlock decline K. Singh et al. 10.1002/hyp.13666
44. Using isotopes to incorporate tree water storage and mixing dynamics into a distributed ecohydrologic modelling framework J. Knighton et al. 10.1002/eco.2201
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46. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
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48. Workflow for hydrologic modelling with sUAS-acquired aerial imagery D. Beene et al. 10.1080/10106049.2019.1648562
49. 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
50. Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow M. Girotto et al. 10.1007/s40641-020-00159-7
51. 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
52. 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
53. The CR of Evaporation: A Calibration‐Free Diagnostic and Benchmarking Tool for Large‐Scale Terrestrial Evapotranspiration Modeling N. Ma & J. Szilagyi 10.1029/2019WR024867
54. 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
55. Assessing the hydrologic response to wildfires in mountainous regions A. Havel et al. 10.5194/hess-22-2527-2018
56. 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
57. 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
58. The Tyranny of Small Scales—On Representing Soil Processes in Global Land Surface Models D. Or 10.1029/2019WR024846
59. The role and value of distributed precipitation data in hydrological models R. Loritz et al. 10.5194/hess-25-147-2021
60. Parameter estimation and uncertainty analysis in hydrological modeling P. Herrera et al. 10.1002/wat2.1569
61. Toward seamless hydrologic predictions across spatial scales L. Samaniego et al. 10.5194/hess-21-4323-2017
62. Identifying climate‐resistant vernal pools: Hydrologic refugia for amphibian reproduction under droughts and climate change J. Cartwright et al. 10.1002/eco.2354
63. 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
64. The potential to reduce uncertainty in regional runoff projections from climate models F. Lehner et al. 10.1038/s41558-019-0639-x
65. Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting F. Hernández & X. Liang 10.5194/hess-22-5759-2018
66. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
67. 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
68. 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
69. Asynchronous cellular automata subsurface flow simulations in two- and three-dimensional heterogeneous soils L. Furnari et al. 10.1016/j.advwatres.2021.103952
70. 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
71. 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
72. Sensitivity Analysis of Fully Distributed Parameterization Reveals Insights Into Heterogeneous Catchment Responses for Water Quality Modeling X. Yang et al. 10.1029/2019WR025575
73. 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
74. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
75. 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
76. Assessing Streamflow Sensitivity to Precipitation Variability in Karst‐Influenced Catchments With Unclosed Water Balances Y. Liu et al. 10.1029/2020WR028598
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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. A simple, dynamic, hydrological model for mesotidal salt marshes D. Marois & H. Stecher 10.1016/j.ecss.2019.106486
80. 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
81. Visualization and ecohydrologic models: Opening the box C. Tague & J. Frew 10.1002/hyp.13991
82. 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
83. 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
84. Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology S. Gnann et al. 10.1029/2020WR028354
85. Fill‐and‐Spill: A Process Description of Runoff Generation at the Scale of the Beholder J. McDonnell et al. 10.1029/2020WR027514
86. Exploring Tracer Information and Model Framework Trade‐Offs to Improve Estimation of Stream Transient Storage Processes C. Kelleher et al. 10.1029/2018WR023585
87. VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. 10.1029/2020WR028435
88. The TERENO-Rur Hydrological Observatory: A Multiscale Multi-Compartment Research Platform for the Advancement of Hydrological Science H. Bogena et al. 10.2136/vzj2018.03.0055
89. Flood hazard mapping methods: A review R. Mudashiru et al. 10.1016/j.jhydrol.2021.126846
90. A New Fully Distributed Model of Nitrate Transport and Removal at Catchment Scale X. Yang et al. 10.1029/2017WR022380
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92. Enabling dynamic emulation of high-dimensional model outputs: Demonstration for Mexico City groundwater management J. Tracy et al. 10.1016/j.envsoft.2021.105238
93. 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
94. Scaling, similarity, and the fourth paradigm for hydrology C. Peters-Lidard et al. 10.5194/hess-21-3701-2017