115 citations as recorded by crossref.

1. Future projections of High Atlas snowpack and runoff under climate change A. Tuel et al. 10.5194/hess-26-571-2022
2. Geospatial dataset for hydrologic analyses in India (GHI): a quality-controlled dataset on river gauges, catchment boundaries and hydrometeorological time series G. Goteti 10.5194/essd-15-4389-2023
3. Global prevalence of non-perennial rivers and streams M. Messager et al. 10.1038/s41586-021-03565-5
4. Simbi: historical hydro-meteorological time series and signatures for 24 catchments in Haiti R. Bathelemy et al. 10.5194/essd-16-2073-2024
5. Functional relationships reveal differences in the water cycle representation of global water models S. Gnann et al. 10.1038/s44221-023-00160-y
6. Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines D. Ibarra et al. 10.5194/hess-25-2805-2021
7. 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
8. River effects on sea-level rise in the Río de la Plata estuary during the past century C. Piecuch 10.5194/os-19-57-2023
9. ADHI: the African Database of Hydrometric Indices (1950–2018) Y. Tramblay et al. 10.5194/essd-13-1547-2021
10. Key environmental factors determining life history strategies of river fishes and their historical changes in the Yangtze River L. Zhu et al. 10.1016/j.watbs.2025.100376
11. CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al. 10.5194/essd-12-2075-2020
12. Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. 10.1016/j.jhydrol.2024.130960
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14. Evaluation and machine learning improvement of global hydrological model-based flood simulations T. Yang et al. 10.1088/1748-9326/ab4d5e
15. Machine Learning-Assisted, Process-Based Quality Control for Detecting Compromised Environmental Sensors J. Schmidt & B. Kerkez 10.1021/acs.est.3c00360
16. Global congruence of riverine fish species richness and human presence A. Schipper & V. Barbarossa 10.1111/geb.13519
17. Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
18. GRACE-REC: a reconstruction of climate-driven water storage changes over the last century V. Humphrey & L. Gudmundsson 10.5194/essd-11-1153-2019
19. Historical and future changes in global flood magnitude – evidence from a model–observation investigation H. Do et al. 10.5194/hess-24-1543-2020
20. Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products Z. Wei et al. 10.1016/j.jhydrol.2020.125180
21. Global hydrological models continue to overestimate river discharge S. Heinicke et al. 10.1088/1748-9326/ad52b0
22. Event‐based classification for global study of river flood generating processes L. Stein et al. 10.1002/hyp.13678
23. Probabilistic predictions for meteorological droughts based on multi-initial conditions M. Torres-Vázquez et al. 10.1016/j.jhydrol.2024.131662
24. Cyclones and Global Floods from an Observation-Simulation Evaluation: Contributions and Long-Term Changes L. Wang et al. 10.3390/w13212965
25. Accuracy Evaluation of Multiple Runoff Products: A Case Study of the Middle Reaches of the Yellow River H. Cui & C. Huang 10.3390/w17030461
26. Impact of land surface model schemes in snow-dominated arid and semiarid watersheds using the WRF-hydro modeling systems W. Hussainzada & H. Lee 10.3934/geosci.2024018
27. Observed Trends in Global Indicators of Mean and Extreme Streamflow L. Gudmundsson et al. 10.1029/2018GL079725
28. A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies Z. Yin et al. 10.5194/essd-16-1559-2024
29. Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar 10.5194/hess-26-2019-2022
30. Global hotspots for the occurrence of compound events N. Ridder et al. 10.1038/s41467-020-19639-3
31. Investigating the response of hydrological processes to El Niño events using a 100-year dataset from the western Pacific Ocean N. Sekhon et al. 10.1016/j.ejrh.2022.101174
32. Climate and rivers G. McGregor 10.1002/rra.3508
33. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
34. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
35. Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
36. Dynamic Sea Level Variability Due to Seasonal River Discharge: A Preliminary Global Ocean Model Study C. Piecuch & R. Wadehra 10.1029/2020GL086984
37. A global streamflow indices time series dataset for large-sample hydrological analyses on streamflow regime (until 2022) X. Chen et al. 10.5194/essd-15-4463-2023
38. G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
39. Design flood estimation for global river networks based on machine learning models G. Zhao et al. 10.5194/hess-25-5981-2021
40. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain G. Coxon et al. 10.5194/essd-12-2459-2020
41. Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable M. Ibrahim et al. 10.5194/hess-29-1703-2025
42. Global patterns in vegetation accessible subsurface water storage emerge from spatially varying importance of individual drivers F. van Oorschot et al. 10.1088/1748-9326/ad8805
43. Evaluating the impact of rainfall–runoff model structural uncertainty on the hydrological rating of regional climate model simulations H. Dakhlaoui & K. Djebbi 10.2166/wcc.2021.004
44. Floodwater utilization potential assessment of China based on improved conceptual model and multi-reservoir basin assessment method K. Wang et al. 10.1016/j.jhydrol.2023.129921
45. Impact of Continental Freshwater Runoff on Coastal Sea Level F. Durand et al. 10.1007/s10712-019-09536-w
46. Turning Lakes Into River Gauges Using the LakeFlow Algorithm R. Riggs et al. 10.1029/2023GL103924
47. CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland M. Höge et al. 10.5194/essd-15-5755-2023
48. Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations W. Knoben et al. 10.5194/gmd-12-2463-2019
49. Evaluation of river flood extent simulated with multiple global hydrological models and climate forcings B. Mester et al. 10.1088/1748-9326/ac188d
50. Attribution of streamflow changes across the globe based on the Budyko framework J. Liu et al. 10.1016/j.scitotenv.2021.148662
51. Drought in intermittent river and ephemeral stream networks R. Sarremejane et al. 10.1002/eco.2390
52. The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata H. Do et al. 10.5194/essd-10-765-2018
53. Weakening flood, intensifying hydrological drought severity and decreasing drought probability in Northeast China W. Qi et al. 10.1016/j.ejrh.2021.100941
54. Hydrography90m: a new high-resolution global hydrographic dataset G. Amatulli et al. 10.5194/essd-14-4525-2022
55. Data quality assurance practices in research data repositories—A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper B. Stvilia et al. 10.1002/asi.24948
56. Trends in Global Flood and Streamflow Timing Based on Local Water Year C. Wasko et al. 10.1029/2020WR027233
57. Influence of irrigation on root zone storage capacity estimation F. van Oorschot et al. 10.5194/hess-28-2313-2024
58. Sectoral water use responses to droughts and heatwaves: analyses from local to global scales for 1990–2019 G. Cárdenas Belleza et al. 10.1088/1748-9326/acf82e
59. The Roles of Catchment Characteristics in Precipitation Partitioning Within the Budyko Framework J. Liu & Y. You 10.1029/2021JD035168
60. Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers G. Allen et al. 10.3390/rs12091510
61. Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming W. Liu et al. 10.1029/2020WR028830
62. Archetypal flow regime change classes and their associations with anthropogenic drivers of global streamflow alterations V. Virkki et al. 10.1088/2515-7620/ad9439
63. LamaH | Large-Sample Data for Hydrology: Big data für die Hydrologie und Umweltwissenschaften C. Klingler et al. 10.1007/s00506-021-00769-x
64. Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation J. Zhang et al. 10.1016/j.jhydrol.2024.132549
65. Globally observed trends in mean and extreme river flow attributed to climate change L. Gudmundsson et al. 10.1126/science.aba3996
66. Basin futures, a novel cloud-based system for preliminary river basin modelling and planning P. Taylor et al. 10.1016/j.envsoft.2021.105049
67. Extreme streamflow and sediment load changes in the Yellow River Basin: Impacts of climate change and human activities S. Yin et al. 10.1016/j.jhydrol.2023.129372
68. GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 G. Ghiggi et al. 10.5194/essd-11-1655-2019
69. The global water resources and use model WaterGAP v2.2e: description and evaluation of modifications and new features H. Müller Schmied et al. 10.5194/gmd-17-8817-2024
70. LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al. 10.5194/essd-13-4529-2021
71. CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India N. Mangukiya et al. 10.5194/essd-17-461-2025
72. Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability G. Papacharalampous & H. Tyralis 10.1016/j.jhydrol.2020.125205
73. Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al. 10.1016/j.gsf.2022.101349
74. A global multi catchment and multi dataset synthesis for water fluxes and storage changes on land M. Zarei & G. Destouni 10.1038/s41597-024-04203-1
75. Hydroclimatic teleconnections of large-scale oceanic-atmospheric circulations on hydrometeorological extremes of Tapi Basin, India P. Sharma et al. 10.1016/j.atmosres.2019.104791
76. Ten best practices to strengthen stewardship and sharing of water science data in Canada B. Persaud et al. 10.1002/hyp.14385
77. Annual memory in the terrestrial water cycle W. Berghuijs et al. 10.5194/hess-29-1319-2025
78. Performance evaluation of global hydrological models in six large Pan-Arctic watersheds A. Gädeke et al. 10.1007/s10584-020-02892-2
79. Compound and consecutive drought-flood events at a global scale A. Matanó et al. 10.1088/1748-9326/ad4b46
80. Disentangling the hydrological and hydraulic controls on streamflow variability in Energy Exascale Earth System Model (E3SM) V2 – a case study in the Pantanal region D. Xu et al. 10.5194/gmd-17-1197-2024
81. Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
82. A hydrological knowledge-informed LSTM model for monthly streamflow reconstruction using distributed data: Application to typical rivers across the Tibetan plateau S. Hou et al. 10.1016/j.jhydrol.2024.132409
83. On the use of indices to study extreme precipitation on sub-daily and daily timescales L. Alexander et al. 10.1088/1748-9326/ab51b6
84. EStreams: An integrated dataset and catalogue of streamflow, hydro-climatic and landscape variables for Europe T. do Nascimento et al. 10.1038/s41597-024-03706-1
85. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
86. Development of Land‐River Two‐Way Hydrologic Coupling for Floodplain Inundation in the Energy Exascale Earth System Model D. Xu et al. 10.1029/2021MS002772
87. A quality-control framework for sub-daily flow and level data for hydrological modelling in Great Britain F. Fileni et al. 10.2166/nh.2023.045
88. Quality assessment of hydrometeorological observational data and their influence on hydrological model results in Alpine catchments F. Hofmeister et al. 10.1080/02626667.2023.2172335
89. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
90. Lessons learnt from checking the quality of openly accessible river flow data worldwide L. Crochemore et al. 10.1080/02626667.2019.1659509
91. A New Surface Waters Downscaling Approach Applicable at Global Scale T. Nguyen & F. Aires 10.3390/rs16244664
92. Priority Research Topics to Improve Streamflow Data Availability in Data-Scarce Countries: The Case for Ethiopia M. Taye et al. 10.3390/hydrology10120220
93. A data-driven persistence test for robust (probabilistic) quality control of measured environmental time series: constant value episodes N. Kaffashzadeh 10.5194/amt-16-3085-2023
94. An ensemble-based projection of future hydro-climatic extremes in Iran A. Jahanshahi et al. 10.1016/j.jhydrol.2024.131892
95. Arc Sediments are a Major source of Juvenile Sr in the Northern Cordillera's Taku River Basin: Potential Implications for the Global Sr Cycle K. Brennan et al. 10.1016/j.chemgeo.2023.121877
96. CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland B. Kraft et al. 10.5194/hess-29-1061-2025
97. Coherent Streamflow Variability in Monsoon Asia Over the Past Eight Centuries—Links to Oceanic Drivers H. Nguyen et al. 10.1029/2020WR027883
98. Disentangling the role of subsurface storage in the propagation of drought through the hydrological cycle G. Bruno et al. 10.1016/j.advwatres.2022.104305
99. Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction B. Renard et al. 10.1029/2022JD037908
100. Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts J. Zaherpour et al. 10.1088/1748-9326/aac547
101. Climate and land management accelerate the Brazilian water cycle V. Chagas et al. 10.1038/s41467-022-32580-x
102. Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable M. Ibrahim et al. 10.5194/hess-29-1703-2025
103. Contribution of changes in vegetation composition and climate variability on streamflow across the global watersheds X. Tan et al. 10.1016/j.catena.2023.107394
104. Global-scale characterization of streamflow extremes S. Kuntla et al. 10.1016/j.jhydrol.2022.128668
105. The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata H. Do et al. 10.5194/essd-10-765-2018
106. Anthropogenic climate change has influenced global river flow seasonality H. Wang et al. 10.1126/science.adi9501
107. 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
108. River effects on sea-level rise in the Río de la Plata estuary during the past century C. Piecuch 10.5194/os-19-57-2023
109. 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
110. Influence of irrigation on root zone storage capacity estimation F. van Oorschot et al. 10.5194/hess-28-2313-2024
111. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
112. Observed Trends in Global Indicators of Mean and Extreme Streamflow L. Gudmundsson et al. 10.1029/2018GL079725
113. To What Extent Are Changes in Flood Magnitude Related to Changes in Precipitation Extremes? H. Do et al. 10.1029/2020GL088684
114. Historical and future changes in global flood magnitude – evidence from a model–observation investigation H. Do et al. 10.5194/hess-24-1543-2020
115. Globally observed trends in mean and extreme river flow attributed to climate change L. Gudmundsson et al. 10.1126/science.aba3996