89 citations as recorded by crossref.

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2. Future projections of High Atlas snowpack and runoff under climate change A. Tuel et al. 10.5194/hess-26-571-2022
3. 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
4. Global prevalence of non-perennial rivers and streams M. Messager et al. 10.1038/s41586-021-03565-5
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. 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
7. 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
8. 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
9. 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
10. ADHI: the African Database of Hydrometric Indices (1950–2018) Y. Tramblay et al. 10.5194/essd-13-1547-2021
11. The Roles of Catchment Characteristics in Precipitation Partitioning Within the Budyko Framework J. Liu & Y. You 10.1029/2021JD035168
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13. Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming W. Liu et al. 10.1029/2020WR028830
14. LamaH | Large-Sample Data for Hydrology: Big data für die Hydrologie und Umweltwissenschaften C. Klingler et al. 10.1007/s00506-021-00769-x
15. CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil V. Chagas et al. 10.5194/essd-12-2075-2020
16. Scaling from global to regional river flow with global hydrological models: Choice matters T. Tu et al. 10.1016/j.jhydrol.2024.130960
17. Caravan - A global community dataset for large-sample hydrology F. Kratzert et al. 10.1038/s41597-023-01975-w
18. Evaluation and machine learning improvement of global hydrological model-based flood simulations T. Yang et al. 10.1088/1748-9326/ab4d5e
19. Machine Learning-Assisted, Process-Based Quality Control for Detecting Compromised Environmental Sensors J. Schmidt & B. Kerkez 10.1021/acs.est.3c00360
20. Global congruence of riverine fish species richness and human presence A. Schipper & V. Barbarossa 10.1111/geb.13519
21. 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
22. GRACE-REC: a reconstruction of climate-driven water storage changes over the last century V. Humphrey & L. Gudmundsson 10.5194/essd-11-1153-2019
23. Historical and future changes in global flood magnitude – evidence from a model–observation investigation H. Do et al. 10.5194/hess-24-1543-2020
24. Globally observed trends in mean and extreme river flow attributed to climate change L. Gudmundsson et al. 10.1126/science.aba3996
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26. 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
27. 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
28. Event‐based classification for global study of river flood generating processes L. Stein et al. 10.1002/hyp.13678
29. GRUN: an observation-based global gridded runoff dataset from 1902 to 2014 G. Ghiggi et al. 10.5194/essd-11-1655-2019
30. Cyclones and Global Floods from an Observation-Simulation Evaluation: Contributions and Long-Term Changes L. Wang et al. 10.3390/w13212965
31. LamaH-CE: LArge-SaMple DAta for Hydrology and Environmental Sciences for Central Europe C. Klingler et al. 10.5194/essd-13-4529-2021
32. Observed Trends in Global Indicators of Mean and Extreme Streamflow L. Gudmundsson et al. 10.1029/2018GL079725
33. 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
34. Use of streamflow indices to identify the catchment drivers of hydrographs J. Mathai & P. Mujumdar 10.5194/hess-26-2019-2022
35. Global hotspots for the occurrence of compound events N. Ridder et al. 10.1038/s41467-020-19639-3
36. 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
37. 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
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39. Climate and rivers G. McGregor 10.1002/rra.3508
40. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182
41. 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
42. Ten best practices to strengthen stewardship and sharing of water science data in Canada B. Persaud et al. 10.1002/hyp.14385
43. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
44. Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
45. Dynamic Sea Level Variability Due to Seasonal River Discharge: A Preliminary Global Ocean Model Study C. Piecuch & R. Wadehra 10.1029/2020GL086984
46. Performance evaluation of global hydrological models in six large Pan-Arctic watersheds A. Gädeke et al. 10.1007/s10584-020-02892-2
47. 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
48. 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
49. Evaluating the performance of random forest for large-scale flood discharge simulation L. Schoppa et al. 10.1016/j.jhydrol.2020.125531
50. G‐RUN ENSEMBLE: A Multi‐Forcing Observation‐Based Global Runoff Reanalysis G. Ghiggi et al. 10.1029/2020WR028787
51. Design flood estimation for global river networks based on machine learning models G. Zhao et al. 10.5194/hess-25-5981-2021
52. On the use of indices to study extreme precipitation on sub-daily and daily timescales L. Alexander et al. 10.1088/1748-9326/ab51b6
53. CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain G. Coxon et al. 10.5194/essd-12-2459-2020
54. A review of hydrologic signatures and their applications H. McMillan 10.1002/wat2.1499
55. 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
56. 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
57. 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
58. 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
59. Impact of Continental Freshwater Runoff on Coastal Sea Level F. Durand et al. 10.1007/s10712-019-09536-w
60. Turning Lakes Into River Gauges Using the LakeFlow Algorithm R. Riggs et al. 10.1029/2023GL103924
61. 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
62. Inference of Parameters for a Global Hydrological Model: Identifiability and Predictive Uncertainties of Climate‐Based Parameters T. Yoshida et al. 10.1029/2021WR030660
63. 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
64. Lessons learnt from checking the quality of openly accessible river flow data worldwide L. Crochemore et al. 10.1080/02626667.2019.1659509
65. 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
66. Evaluation of river flood extent simulated with multiple global hydrological models and climate forcings B. Mester et al. 10.1088/1748-9326/ac188d
67. Priority Research Topics to Improve Streamflow Data Availability in Data-Scarce Countries: The Case for Ethiopia M. Taye et al. 10.3390/hydrology10120220
68. 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
69. Attribution of streamflow changes across the globe based on the Budyko framework J. Liu et al. 10.1016/j.scitotenv.2021.148662
70. 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
71. Drought in intermittent river and ephemeral stream networks R. Sarremejane et al. 10.1002/eco.2390
72. 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
73. Coherent Streamflow Variability in Monsoon Asia Over the Past Eight Centuries—Links to Oceanic Drivers H. Nguyen et al. 10.1029/2020WR027883
74. Weakening flood, intensifying hydrological drought severity and decreasing drought probability in Northeast China W. Qi et al. 10.1016/j.ejrh.2021.100941
75. 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
76. Hydrography90m: a new high-resolution global hydrographic dataset G. Amatulli et al. 10.5194/essd-14-4525-2022
77. Floods and Heavy Precipitation at the Global Scale: 100‐Year Analysis and 180‐Year Reconstruction B. Renard et al. 10.1029/2022JD037908
78. 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
79. Climate and land management accelerate the Brazilian water cycle V. Chagas et al. 10.1038/s41467-022-32580-x
80. 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
81. Global-scale characterization of streamflow extremes S. Kuntla et al. 10.1016/j.jhydrol.2022.128668
82. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
83. Anthropogenic climate change has influenced global river flow seasonality H. Wang et al. 10.1126/science.adi9501
84. Observed Trends in Global Indicators of Mean and Extreme Streamflow L. Gudmundsson et al. 10.1029/2018GL079725
85. 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
86. 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
87. 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
88. To What Extent Are Changes in Flood Magnitude Related to Changes in Precipitation Extremes? H. Do et al. 10.1029/2020GL088684
89. Globally observed trends in mean and extreme river flow attributed to climate change L. Gudmundsson et al. 10.1126/science.aba3996