72 citations as recorded by crossref.

1. Water scarcity under various socio-economic pathways and its potential effects on food production in the Yellow River basin Y. Yin et al. https://doi.org/10.5194/hess-21-791-2017
2. Dryland changes under different levels of global warming A. Koutroulis https://doi.org/10.1016/j.scitotenv.2018.11.215
3. High-end climate change impact on European runoff and low flows – exploring the effects of forcing biases L. Papadimitriou et al. https://doi.org/10.5194/hess-20-1785-2016
4. Quantifying and communicating uncertain climate change hazards in participatory climate change adaptation processes L. Müller & P. Döll https://doi.org/10.5194/gc-7-121-2024
5. The influence of spatial correlations in crop production on global crop failures in model simulations S. Feng et al. https://doi.org/10.1016/j.agrformet.2026.111021
6. Uncertainties in projected runoff over the conterminous United States I. Giuntoli et al. https://doi.org/10.1007/s10584-018-2280-5
7. The Influence of Climate and Land-Cover Scenarios on Dam Management Strategies in a High Water Pressure Catchment in Northeast Spain J. Zabalza-Martínez et al. https://doi.org/10.3390/w10111668
8. Deducing Climatic Elasticity to Assess Projected Climate Change Impacts on Streamflow Change across China J. Liu et al. https://doi.org/10.1002/2017JD026701
9. Participatory Bayesian Network modeling of climate change risks and adaptation regarding water supply: Integration of multi-model ensemble hazard estimates and local expert knowledge F. Kneier et al. https://doi.org/10.1016/j.envsoft.2023.105764
10. Global-scale river flood vulnerability in the last 50 years M. Tanoue et al. https://doi.org/10.1038/srep36021
11. The elephant, the blind, and the intersectoral intercomparison of climate impacts H. Schellnhuber et al. https://doi.org/10.1073/pnas.1321791111
12. Ensemble climate-impact modelling: extreme impacts from moderate meteorological conditions K. van der Wiel et al. https://doi.org/10.1088/1748-9326/ab7668
13. Overestimation of evapotranspiration across India if not considering the impact of rising atmospheric CO2 S. Surendran et al. https://doi.org/10.3389/frwa.2025.1597728
14. Simulating Hydrological Impacts under Climate Change: Implications from Methodological Differences of a Pan European Assessment A. Koutroulis et al. https://doi.org/10.3390/w10101331
15. Going Beyond the Ensemble Mean: Assessment of Future Floods From Global Multi‐Models I. Giuntoli et al. https://doi.org/10.1029/2020WR027897
16. Climate change may increase landslide frequency despite generally drier conditions in the Mediterranean area D. Roman Quintero et al. https://doi.org/10.5194/nhess-26-3723-2026
17. Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz https://doi.org/10.1007/s10584-020-02858-4
18. 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. https://doi.org/10.5194/hess-25-2805-2021
19. Impacts of climate change and vegetation dynamics on runoff in the mountainous region of the Haihe River basin in the past five decades H. Lei et al. https://doi.org/10.1016/j.jhydrol.2014.02.029
20. Modelling Freshwater Resources at the Global Scale: Challenges and Prospects P. Döll et al. https://doi.org/10.1007/s10712-015-9343-1
21. An Analytical Solution for the Impact of Vegetation Changes on Hydrological Partitioning Within the Budyko Framework S. Zhang et al. https://doi.org/10.1002/2017WR022028
22. Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. https://doi.org/10.5194/hess-25-787-2021
23. Climate impact research: beyond patchwork V. Huber et al. https://doi.org/10.5194/esd-5-399-2014
24. Global evaluation of model agreement and uncertainty in terrestrial water storage simulations from ISIMIP 2b framework J. Ju et al. https://doi.org/10.1016/j.jhydrol.2023.129137
25. Structural differences across hydrological models affect certainty of predictions of nature-based solution benefits A. Rebelo et al. https://doi.org/10.1016/j.ecolmodel.2024.110940
26. Projecting the Changes in Multifaceted Characteristics of Heatwave Events Across China J. Wei et al. https://doi.org/10.1029/2022EF003387
27. Vegetation plays an important role in mediating future water resources A. Ukkola et al. https://doi.org/10.1088/1748-9326/11/9/094022
28. Livestock exposure to future cumulated climate-related stressors in West Africa A. Brouillet & B. Sultan https://doi.org/10.1038/s41598-022-22544-y
29. Spatial runoff response to climate change in the Yarlung Zangbo-Brahmaputra River basin J. Wang & J. Zhao https://doi.org/10.1007/s11431-024-2851-7
30. Dynamic changes in terrestrial net primary production and their effects on evapotranspiration Z. Li et al. https://doi.org/10.5194/hess-20-2169-2016
31. Projected impacts of climate change on hydropower potential in China X. Liu et al. https://doi.org/10.5194/hess-20-3343-2016
32. Projection of Lithuanian river runoff, temperature and their extremes under climate change D. Šarauskienė et al. https://doi.org/10.2166/nh.2017.007
33. Multiple climate-related stressors in the tropics and beneficial changes in northern latitudes will mostly have emerged before 2050 A. Brouillet et al. https://doi.org/10.1371/journal.pone.0293551
34. Global assessment of agreement among streamflow projections using CMIP5 model outputs S. Koirala et al. https://doi.org/10.1088/1748-9326/9/6/064017
35. Projections of aridity and its regional variability over China in the mid‐21st century Y. Yin et al. https://doi.org/10.1002/joc.4295
36. The Compensatory CO2 Fertilization and Stomatal Closure Effects on Runoff Projection From 2016–2099 in the Western United States X. Zhang et al. https://doi.org/10.1029/2021WR030046
37. Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity A. Hartmann et al. https://doi.org/10.1073/pnas.1614941114
38. Hydrological responses to climatic changes in the Yellow River basin, China: Climatic elasticity and streamflow prediction Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2017.09.040
39. Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide S. Huang et al. https://doi.org/10.1007/s10584-016-1841-8
40. Regional Carrying Capacities of Freshwater Consumption—Current Pressure and Its Sources M. Motoshita et al. https://doi.org/10.1021/acs.est.0c01544
41. Impacts of future agricultural change on ecosystem service indicators S. Rabin et al. https://doi.org/10.5194/esd-11-357-2020
42. Can climate change signals be detected from the terrestrial water storage at daily timescale? F. Huo et al. https://doi.org/10.1038/s41612-024-00646-w
43. Magnitude and robustness associated with the climate change impacts on global hydrological variables for transient and stabilized climate states B. Julien et al. https://doi.org/10.1088/1748-9326/aac179
44. Climate change impacts on floods in West Africa: new insight from two large-scale hydrological models S. Diop et al. https://doi.org/10.5194/nhess-25-3161-2025
45. An integrated framework that combines machine learning and numerical models to improve wave-condition forecasts F. O’Donncha et al. https://doi.org/10.1016/j.jmarsys.2018.05.006
46. Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions I. Pechlivanidis et al. https://doi.org/10.1007/s10584-016-1723-0
47. Reservoir operations under climate change: Storage capacity options to mitigate risk N. Ehsani et al. https://doi.org/10.1016/j.jhydrol.2017.09.008
48. Characterizing Uncertainty of the Hydrologic Impacts of Climate Change M. Clark et al. https://doi.org/10.1007/s40641-016-0034-x
49. Modeling Groundwater Depletion at Regional and Global Scales: Present State and Future Prospects Y. Wada https://doi.org/10.1007/s10712-015-9347-x
50. Modeling global water use for the 21st century: the Water Futures and Solutions (WFaS) initiative and its approaches Y. Wada et al. https://doi.org/10.5194/gmd-9-175-2016
51. Sources of uncertainty in hydrological climate impact assessment: a cross-scale study F. Hattermann et al. https://doi.org/10.1088/1748-9326/aa9938
52. Modeling aboveground net primary production (ANPP) in Tehran Province: insights from remote sensing and climate change projections M. Asgari et al. https://doi.org/10.1007/s40808-026-02758-z
53. Future global water scarcity partially moderated by vegetation responses to rising CO2 J. Stacey et al. https://doi.org/10.5194/hess-30-4225-2026
54. Sources and uncertainties of future global drought risk with ISIMIP2b climate scenarios and socioeconomic indicators H. Oh et al. https://doi.org/10.1016/j.scitotenv.2022.160371
55. Reductions in Labor Capacity from Intensified Heat Stress in China under Future Climate Change X. Liu https://doi.org/10.3390/ijerph17041278
56. Integrating risks of climate change into water management P. Döll et al. https://doi.org/10.1080/02626667.2014.967250
57. Changes in Extreme Maximum Temperature Events and Population Exposure in China under Global Warming Scenarios of 1.5 and 2.0°C: Analysis Using the Regional Climate Model COSMO-CLM M. Zhan et al. https://doi.org/10.1007/s13351-018-7016-y
58. Integrated Evaluation of Changing Water Resources in an Active Ecotourism Area: The Case of Puerto Princesa City, Palawan, Philippines M. Dela Cruz et al. https://doi.org/10.3390/su13094826
59. Evaluating Future Flood Scenarios Using CMIP5 Climate Projections N. Nyaupane et al. https://doi.org/10.3390/w10121866
60. Risks for the global freshwater system at 1.5 °C and 2 °C global warming P. Döll et al. https://doi.org/10.1088/1748-9326/aab792
61. Quantifying the impact of vegetation changes on global terrestrial runoff using the Budyko framework Y. Luo et al. https://doi.org/10.1016/j.jhydrol.2020.125389
62. A model of water and sediment balance as determinants of relative sea level rise in contemporary and future deltas Z. Tessler et al. https://doi.org/10.1016/j.geomorph.2017.09.040
63. Sensitivity of global terrestrial gross primary production to hydrologic states simulated by the Community Land Model using two runoff parameterizations H. Lei et al. https://doi.org/10.1002/2013MS000252
64. The influence of groundwater representation on hydrological simulation and its assessment using satellite‐based water storage variation Z. Huang et al. https://doi.org/10.1002/hyp.13393
65. Non-linear interactions between $$\hbox {CO}_2$$ CO 2 radiative and physiological effects on Amazonian evapotranspiration in an Earth system model K. Halladay & P. Good https://doi.org/10.1007/s00382-016-3449-0
66. Multi-Model Analyses of Spatiotemporal Variations of Water Resources in Central Asia Y. Zhao et al. https://doi.org/10.3390/w17162423
67. The timing of unprecedented hydrological drought under climate change Y. Satoh et al. https://doi.org/10.1038/s41467-022-30729-2
68. GLOBAL WATER RESOURCE ASSESSMENT INCLUDING GLACIER MELTWATER FROM MOUNTAINOUS REGIONS M. TANOUE et al. https://doi.org/10.2208/jscejhe.71.I_451
69. 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. https://doi.org/10.1016/j.ejrh.2018.10.007
70. Freshwater vulnerability under high end climate change. A pan-European assessment A. Koutroulis et al. https://doi.org/10.1016/j.scitotenv.2017.09.074
71. Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models I. Giuntoli et al. https://doi.org/10.5194/esd-6-267-2015
72. Improving the quantification of climate change hazards by hydrological models: a simple ensemble approach for considering the uncertain effect of vegetation response to climate change on potential evapotranspiration T. Peiris & P. Döll https://doi.org/10.5194/hess-27-3663-2023