137 citations as recorded by crossref.

1. Assessment of precipitation error propagation in multi-model global water resource reanalysis M. Ehsan Bhuiyan et al. 10.5194/hess-23-1973-2019
2. Evaluation of Global Water Resources Reanalysis Data for Estimating Flood Events in the Brahmaputra River Basin P. López et al. 10.1007/s11269-020-02546-z
3. Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models J. Zaherpour et al. 10.1016/j.envsoft.2019.01.003
4. Leveraging global climate models to assess multi-year hydrologic drought M. Vieira & T. Stadnyk 10.1038/s41612-023-00496-y
5. CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al. 10.5194/essd-12-2075-2020
6. Streamflow naturalization methods: a review M. Terrier et al. 10.1080/02626667.2020.1839080
7. Behind the scenes of streamflow model performance L. Bouaziz et al. 10.5194/hess-25-1069-2021
8. Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff D. Althoff & G. Destouni 10.1016/j.oneear.2023.08.002
9. A global streamflow reanalysis for 1980–2018 L. Alfieri et al. 10.1016/j.hydroa.2019.100049
10. Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics S. Chaudhari et al. 10.5194/hess-23-2841-2019
11. Multi-model analysis of historical runoff changes in the Lancang-Mekong River Basin – Characteristics and uncertainties Y. Li et al. 10.1016/j.jhydrol.2023.129297
12. Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia H. Lakew et al. 10.1007/s11269-019-2190-y
13. Applications and Challenges of GRACE and GRACE Follow-On Satellite Gravimetry J. Chen et al. 10.1007/s10712-021-09685-x
14. Technical note: Diagnostic efficiency – specific evaluation of model performance R. Schwemmle et al. 10.5194/hess-25-2187-2021
15. Range-dependent thresholds for global flood early warning L. Alfieri et al. 10.1016/j.hydroa.2019.100034
16. The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff G. Ayzel et al. 10.1080/02626667.2020.1762886
17. The Potential Use of Global Evapotranspiration Products and Models to Estimate Lake Residence Time at Large Scale K. Ding et al. 10.1029/2022WR033148
18. Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model E. Gelati et al. 10.5194/hess-22-2091-2018
19. Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya M. Wanzala et al. 10.1016/j.ejrh.2022.101105
20. Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS H. Beck et al. 10.5194/hess-23-207-2019
21. Functional relationships reveal differences in the water cycle representation of global water models S. Gnann et al. 10.1038/s44221-023-00160-y
22. Global Modeling of Seasonal Mortality Rates From River Floods L. Alfieri et al. 10.1029/2020EF001541
23. Strategies for smarter catchment hydrology models: incorporating scaling and better process representation R. Sidle 10.1186/s40562-021-00193-9
24. Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. 10.1016/j.rse.2019.111629
25. Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness? D. Birhanu et al. 10.3390/su10082837
26. High-quality reconstruction of China’s natural streamflow C. Miao et al. 10.1016/j.scib.2021.09.022
27. Improving Rainfall Fields in Data-Scarce Basins: Influence of the Kernel Bandwidth Value of Merging on Hydrometeorological Modeling N. Duque-Gardeazabal & E. Rodríguez 10.1061/JHYEFF.HEENG-5541
28. Customized deep learning for precipitation bias correction and downscaling F. Wang et al. 10.5194/gmd-16-535-2023
29. Toward Global Stochastic River Flood Modeling O. Wing et al. 10.1029/2020WR027692
30. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
31. Going local: Evaluating and regionalizing a global hydrological model’s simulation of river flows in a medium-sized East African basin C. Siderius et al. 10.1016/j.ejrh.2018.10.007
32. Human‐Induced Changes in South American River Sediment Fluxes From 1984 to 2019 H. Fagundes et al. 10.1029/2023WR034519
33. A lesson unlearned? Underestimating tree cover in drylands biases global restoration maps M. Fagan 10.1111/gcb.15187
34. Predicting runoff series in ungauged basins of the Brazilian Cerrado biome D. Althoff et al. 10.1016/j.envsoft.2022.105315
35. A global analysis of diurnal variability in dust and dust mixture using CATS observations Y. Yu et al. 10.5194/acp-21-1427-2021
36. Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations W. Fei et al. 10.1029/2020WR028846
37. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al. 10.5194/hess-25-17-2021
38. Hydrological evaluation of satellite and reanalysis-based rainfall estimates over the Upper Tekeze Basin, Ethiopia K. Reda et al. 10.2166/nh.2022.131
39. Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
40. Advancing global flood hazard simulations by improving comparability, benchmarking, and integration of global flood models J. Hoch & M. Trigg 10.1088/1748-9326/aaf3d3
41. Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product S. Hobeichi et al. 10.5194/hess-23-851-2019
42. Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America M. Troin et al. 10.3390/w13213112
43. Synergy between satellite observations of soil moisture and water storage anomalies for runoff estimation S. Camici et al. 10.5194/gmd-15-6935-2022
44. Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China X. Guan et al. 10.3390/rs12244023
45. Robustness of Process-Based versus Data-Driven Modeling in Changing Climatic Conditions S. O et al. 10.1175/JHM-D-20-0072.1
46. G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
47. Estimating the annual runoff frequency distribution based on climatic conditions and catchment characteristics: A case study across China Z. Liu et al. 10.1016/j.iswcr.2022.06.001
48. Regionalization methods in ungauged catchments for flow prediction: review and its recent developments N. Singh & T. Devi 10.1007/s12517-022-10287-z
49. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
50. Long‐Term Experimental Evaluation of a High‐Resolution Atmospheric General Circulation Model From a Hydrological Perspective Y. Miura & T. Nakaegawa 10.1029/2023JD038786
51. Intercomparison of global ERA reanalysis products for streamflow simulations at the high-resolution continental scale R. Bain et al. 10.1016/j.jhydrol.2022.128624
52. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. 10.1029/2019JD031485
53. Combined Use of Local and Global Hydro Meteorological Data with Hydrological Models for Water Resources Management in the Magdalena - Cauca Macro Basin – Colombia E. Rodríguez et al. 10.1007/s11269-019-02236-5
54. The effect of climate type on timescales of drought propagation in an ensemble of global hydrological models A. Gevaert et al. 10.5194/hess-22-4649-2018
55. Postprocessing continental-scale, medium-range ensemble streamflow forecasts in South America using Ensemble Model Output Statistics and Ensemble Copula Coupling V. Siqueira et al. 10.1016/j.jhydrol.2021.126520
56. Global hydrological reanalyses: The value of river discharge information for world‐wide downstream applications – The example of the Global Flood Awareness System GloFAS C. Prudhomme et al. 10.1002/met.2192
57. Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
58. Reconstruction of droughts in India using multiple land-surface models (1951–2015) V. Mishra et al. 10.5194/hess-22-2269-2018
59. Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. 10.1016/j.jhydrol.2024.130960
60. Sediment Flows in South America Supported by Daily Hydrologic‐Hydrodynamic Modeling H. Fagundes et al. 10.1029/2020WR027884
61. The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins I. Benedict et al. 10.5194/hess-23-1779-2019
62. A Continental Assessment of Reservoir Storage and Water Availability in South America B. Paredes-Beltran et al. 10.3390/w13141992
63. Extreme Precipitating Events in Satellite and Rain Gauge Products over the Sahel S. Sanogo et al. 10.1175/JCLI-D-21-0390.1
64. Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding E. Bevacqua et al. 10.5194/nhess-20-1765-2020
65. Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship S. Yi et al. 10.1016/j.rse.2023.113816
66. Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
67. Disparities across global water models T. Troy 10.1038/s44221-023-00172-8
68. Evaluation of Routed-Runoff from Land Surface Models and Reanalyses Using Observed Streamflow in Chinese River Basins Y. Miao & A. Wang 10.1007/s13351-020-9120-z
69. 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
70. An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. 10.5194/essd-15-2755-2023
71. Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. 10.3390/w12072037
72. Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches P. Lin et al. 10.1029/2019WR025287
73. Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. 10.1175/JCLI-D-19-0036.1
74. Soil Moisture to Runoff (SM2R): A Data‐Driven Model for Runoff Estimation Across Poorly Gauged Asian Water Towers Based on Soil Moisture Dynamics X. Li et al. 10.1029/2022WR033597
75. Hydrological modeling using distributed rainfall data to represent the flow in urban watersheds L. Amorim et al. 10.1590/2318-0331.272220220060
76. Runoff observation in a tropical Brantas watershed as observed from long-term globally available TerraClimate data 2001–2020 B. Wiwoho & I. Astuti 10.1186/s40677-022-00214-5
77. How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change V. Krysanova et al. 10.1007/s10584-020-02840-0
78. Stochastic in Space and Time: 1. Characterizing Orographic Gradients in Mean Runoff and Daily Runoff Variability A. Forte & M. Rossi 10.1029/2023JF007326
79. Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
80. Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. 10.5194/hess-26-3151-2022
81. Global hydro-environmental lake characteristics at high spatial resolution B. Lehner et al. 10.1038/s41597-022-01425-z
82. How the performance of hydrological models relates to credibility of projections under climate change V. Krysanova et al. 10.1080/02626667.2018.1446214
83. GloFAS-ERA5 operational global river discharge reanalysis 1979–present S. Harrigan et al. 10.5194/essd-12-2043-2020
84. 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
85. On the Precipitation‐Induced Uncertainties in Process‐Based Hydrological Modeling in the Mekong River Basin T. Kabir et al. 10.1029/2021WR030828
86. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset J. Schellekens et al. 10.5194/essd-9-389-2017
87. Large‐Scale Controls of the Surface Water Balance Over Land: Insights From a Systematic Review and Meta‐Analysis R. Padrón et al. 10.1002/2017WR021215
88. Global Evaluation of Runoff Simulation From Climate, Hydrological and Land Surface Models Y. Hou et al. 10.1029/2021WR031817
89. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
90. Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study T. Veldkamp et al. 10.1088/1748-9326/aab96f
91. Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz 10.1007/s10584-020-02858-4
92. Global sea-level budget 1993–present 10.5194/essd-10-1551-2018
93. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
94. Assessing water system vulnerabilities under changing climate conditions using different representations of a hydrological system A. Sharifinejad et al. 10.1080/02626667.2021.2014057
95. Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change S. Vicente‐Serrano et al. 10.1002/wcc.632
96. Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H. Tyralis et al. 10.1016/j.jhydrol.2019.123957
97. Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin J. Towner et al. 10.5194/hess-23-3057-2019
98. Toward continental hydrologic–hydrodynamic modeling in South America V. Siqueira et al. 10.5194/hess-22-4815-2018
99. Data‐Driven Reservoir Simulation in a Large‐Scale Hydrological and Water Resource Model S. Turner et al. 10.1029/2020WR027902
100. Multi-model evaluation of catchment- and global-scale hydrological model simulations of drought characteristics across eight large river catchments A. Kumar et al. 10.1016/j.advwatres.2022.104212
101. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling H. Beck et al. 10.5194/hess-21-6201-2017
102. State-of-the-art global models underestimate impacts from climate extremes J. Schewe et al. 10.1038/s41467-019-08745-6
103. Evaluating the Effect of Numerical Schemes on Hydrological Simulations: HYMOD as A Case Study S. Zhang & K. Al-Asadi 10.3390/w11020329
104. Predicting mean annual and mean monthly streamflow in Colorado ungauged basins A. Eurich et al. 10.1002/rra.3778
105. FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015 V. Barbarossa et al. 10.1038/sdata.2018.52
106. Measuring compound flood potential from river discharge and storm surge extremes at the global scale A. Couasnon et al. 10.5194/nhess-20-489-2020
107. The Benefit of Using an Ensemble of Global Hydrological Models in Surface Water Availability for Irrigation Area Planning A. Kaune et al. 10.1007/s11269-020-02544-1
108. A simple framework for estimating the annual runoff frequency distribution under a non-stationarity condition Z. Liu et al. 10.1016/j.jhydrol.2020.125550
109. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
110. Performance evaluation of global hydrological models in six large Pan-Arctic watersheds A. Gädeke et al. 10.1007/s10584-020-02892-2
111. Tracking Seasonal Fluctuations in Land Water Storage Using Global Models and GRACE Satellites B. Scanlon et al. 10.1029/2018GL081836
112. Mapped Hydroclimatology of Evapotranspiration and Drainage Runoff Using SMAP Brightness Temperature Observations and Precipitation Information R. Akbar et al. 10.1029/2018WR024459
113. ORCHIDEE-ROUTING: revising the river routing scheme using a high-resolution hydrological database T. Nguyen-Quang et al. 10.5194/gmd-11-4965-2018
114. The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality control, time-series indices and homogeneity assessment L. Gudmundsson et al. 10.5194/essd-10-787-2018
115. Uncertainty in the extreme flood magnitude estimates of large-scale flood hazard models L. Devitt et al. 10.1088/1748-9326/abfac4
116. Evaluating Forest Cover and Fragmentation in Costa Rica with a Corrected Global Tree Cover Map D. Cunningham et al. 10.3390/rs12193226
117. MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment H. Beck et al. 10.1175/BAMS-D-17-0138.1
118. Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System S. Harrigan et al. 10.5194/hess-27-1-2023
119. New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources Management L. Mason et al. 10.1061/(ASCE)WR.1943-5452.0001073
120. Bridge safety is not for granted – A novel approach to bridge management M. Pregnolato 10.1016/j.engstruct.2019.05.035
121. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
122. Infiltration from the Pedon to Global Grid Scales: An Overview and Outlook for Land Surface Modeling H. Vereecken et al. 10.2136/vzj2018.10.0191
123. A Pragmatic Slope-Adjusted Curve Number Model to Reduce Uncertainty in Predicting Flood Runoff from Steep Watersheds M. Ajmal et al. 10.3390/w12051469
124. Lessons learnt from checking the quality of openly accessible river flow data worldwide L. Crochemore et al. 10.1080/02626667.2019.1659509
125. Towards hybrid modeling of the global hydrological cycle B. Kraft et al. 10.5194/hess-26-1579-2022
126. Historical and future changes in global flood magnitude – evidence from a model–observation investigation H. Do et al. 10.5194/hess-24-1543-2020
127. Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1 D. Xu et al. 10.5194/gmd-15-5021-2022
128. Global multi-hazard risk assessment in a changing climate Z. Stalhandske et al. 10.1038/s41598-024-55775-2
129. Parameterization of river incision models requires accounting for environmental heterogeneity: insights from the tropical Andes B. Campforts et al. 10.5194/esurf-8-447-2020
130. On the runoff validation of ‘Global BROOK90’ automatic modeling framework I. Vorobevskii et al. 10.2166/nh.2021.150
131. A low order dynamical model for runoff predictability R. Olson et al. 10.1007/s00382-020-05479-w
132. Historical and future Palmer Drought Severity Index with improved hydrological modeling Z. Wang et al. 10.1016/j.jhydrol.2022.127941
133. MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data H. Beck et al. 10.5194/hess-21-589-2017
134. Improving the understanding and practice of hydrological modelling: recent insights and discussion T. Daniell & K. Daniell 10.1080/13241583.2017.1406586
135. OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia G. Ayzel 10.3390/hydrology8010003
136. Hydrological threats to riparian wetlands of international importance – a global quantitative and qualitative analysis C. Schneider et al. 10.5194/hess-21-2799-2017
137. More Intense and Longer Torrential Rain and Flood Events During the Recent Past Decade in Eurasia S. Wang et al. 10.1029/2022WR033314