144 citations as recorded by crossref.

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3. A simple topography-driven and calibration-free runoff generation module H. Gao et al. https://doi.org/10.5194/hess-23-787-2019
4. Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model N. Andrade et al. https://doi.org/10.1007/s11269-020-02711-4
5. Understanding Catchments’ Hydrologic Response Similarity of Upper Blue Nile (Abay) basin through catchment classification Z. Tegegn et al. https://doi.org/10.1007/s40808-021-01298-y
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9. Quantifying the Impact of Climate Change and Human Activities on Streamflow in a Semi-Arid Watershed with the Budyko Equation Incorporating Dynamic Vegetation Information L. Tian et al. https://doi.org/10.3390/w10121781
10. Advances in hydrological modelling with the Budyko framework C. Wang et al. https://doi.org/10.1177/0309133315620997
11. Streamflow recession patterns can help unravel the role of climate and humans in landscape co-evolution P. Bogaart et al. https://doi.org/10.5194/hess-20-1413-2016
12. Effects of soil and vegetation development on surface hydrological properties of moraines in the Swiss Alps F. Maier et al. https://doi.org/10.1016/j.catena.2019.104353
13. Estimating the annual runoff frequency distribution based on climatic conditions and catchment characteristics: A case study across China Z. Liu et al. https://doi.org/10.1016/j.iswcr.2022.06.001
14. Advancing catchment hydrology to deal with predictions under change U. Ehret et al. https://doi.org/10.5194/hess-18-649-2014
15. The effects of topography and forest management on water storage in catchments in south‐central Chile G. Barrientos & A. Iroumé https://doi.org/10.1002/hyp.13261
16. The Landscape Evolution Observatory: A large-scale controllable infrastructure to study coupled Earth-surface processes L. Pangle et al. https://doi.org/10.1016/j.geomorph.2015.01.020
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18. Separating the effects of changes in land cover and climate: a hydro-meteorological analysis of the past 60 yr in Saxony, Germany M. Renner et al. https://doi.org/10.5194/hess-18-389-2014
19. Detecting and quantifying the impact of long-term terrestrial water storage changes on the runoff ratio in the head regions of the two largest rivers in China Z. Xu et al. https://doi.org/10.1016/j.jhydrol.2021.126668
20. Sensitivity of streamflow and nutrient loads to changes in leaf area index and soil organic carbon in a sub-tropical catchment subject to climate change C. Deng et al. https://doi.org/10.1016/j.ejrh.2024.101682
21. A Multi-Dimensional Hydro-Climatic Similarity and Classification Framework Based on Budyko Theory for Continental-Scale Applications in China J. Liu et al. https://doi.org/10.3390/w11020319
22. Control of climate and physiography on runoff response behavior through use of catchment classification and machine learning S. Du et al. https://doi.org/10.1016/j.scitotenv.2023.166422
23. Biophysical Controls on Water Yield in Semiarid Mountains: Insights From 25 Catchments in Central Argentina I. Barbero et al. https://doi.org/10.1002/hyp.70543
24. Propagation process‐based agricultural drought typology and its copula‐based risk L. Li et al. https://doi.org/10.1002/ird.2966
25. Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. https://doi.org/10.1007/s10980-018-0690-4
26. Response of global land evapotranspiration to climate change, elevated CO2, and land use change J. Liu et al. https://doi.org/10.1016/j.agrformet.2021.108663
27. Characterizing hydrologic change through catchment classification K. Sawicz et al. https://doi.org/10.5194/hess-18-273-2014
28. Application of Budyko framework to irrigation districts in China under various climatic conditions H. Chen et al. https://doi.org/10.1002/hyp.14542
29. Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable M. Ibrahim et al. https://doi.org/10.5194/hess-29-1703-2025
30. Exploring Hydrologic Model Process Connectivity at the Continental Scale Through an Information Theory Approach G. Konapala et al. https://doi.org/10.1029/2020WR027340
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32. Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. https://doi.org/10.1016/j.scitotenv.2023.163285
33. One‐Parameter Analytical Derivation in Modified Budyko Framework for Unsteady‐State Streamflow Elasticity in Humid Catchments P. Han et al. https://doi.org/10.1029/2023WR034725
34. Improving Budyko curve‐based estimates of long‐term water partitioning using hydrologic signatures from GRACE K. Fang et al. https://doi.org/10.1002/2016WR018748
35. Understanding the influence of increasing forest biomass on inter-annual evapotranspiration regime using the Budyko framework at forest-dominated landscape W. Kim et al. https://doi.org/10.1016/j.ecolind.2025.113508
36. HESS Opinions: From response units to functional units: a thermodynamic reinterpretation of the HRU concept to link spatial organization and functioning of intermediate scale catchments E. Zehe et al. https://doi.org/10.5194/hess-18-4635-2014
37. Three-dimensional inter-basin groundwater flow toward a groundwater-fed stream: Identification, partition, and quantification P. Han et al. https://doi.org/10.1016/j.jhydrol.2023.130524
38. Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems A. Van Loon et al. https://doi.org/10.5194/nhess-24-3173-2024
39. From channelization to restoration: Sociohydrologic modeling with changing community preferences in the Kissimmee River Basin, Florida X. Chen et al. https://doi.org/10.1002/2015WR018194
40. The ecohydrological effects of climate and landscape interactions within the Budyko framework under non-steady state conditions P. Huang et al. https://doi.org/10.1016/j.catena.2022.106481
41. Different roads, same destination: The shared future of plant ecophysiology and ecohydrology J. Wilkening et al. https://doi.org/10.1111/pce.14937
42. Regional patterns of interannual variability of catchment water balances across the continental U.S.: A Budyko framework A. Carmona et al. https://doi.org/10.1002/2014WR016013
43. A thermodynamic approach to link self-organization, preferential flow and rainfall–runoff behaviour E. Zehe et al. https://doi.org/10.5194/hess-17-4297-2013
44. Understanding process controls on groundwater recharge variability across Africa through recharge landscapes C. West et al. https://doi.org/10.1016/j.jhydrol.2022.127967
45. The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales L. Yao et al. https://doi.org/10.1029/2020WR027111
46. Water balance changes in response to climate change in the upper Hailar River Basin, China J. Liu et al. https://doi.org/10.2166/nh.2020.032
47. Vegetation regulation on streamflow intra‐annual variability through adaption to climate variations S. Ye et al. https://doi.org/10.1002/2015GL066396
48. Improvement of low flows simulation in the SASER hydrological modeling chain O. Cenobio-Cruz et al. https://doi.org/10.1016/j.hydroa.2022.100147
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50. Global Surface Soil Moisture Drydown Patterns V. Sehgal et al. https://doi.org/10.1029/2020WR027588
51. Hillslope-storage Boussinesq model for simulating subsurface water storage dynamics in scantily-gauged catchments S. Sahoo et al. https://doi.org/10.1016/j.advwatres.2018.08.016
52. Agricultural catchments exhibit enhanced climate and drought resilience compared to forested catchments in Peninsular India A. Singh & A. Sharma https://doi.org/10.1016/j.jhydrol.2025.134618
53. Climate and landscape jointly control European streamflow behaviour J. Rudlang et al. https://doi.org/10.5194/hess-30-4481-2026
54. Correlation-aided method for identification and gradation of periodicities in hydrologic time series P. Xie et al. https://doi.org/10.1186/s40562-021-00183-x
55. Land surface conductance linked to precipitation: Co‐evolution of vegetation and climate in Earth system models P. Franks et al. https://doi.org/10.1111/gcb.17188
56. Effects of forest cover change on catchment evapotranspiration variation in China T. Ning et al. https://doi.org/10.1002/hyp.13719
57. Topography regulates the responses of water partitioning to climate and vegetation seasonality X. Zhang & M. Liu https://doi.org/10.1016/j.scitotenv.2022.156028
58. A one‐parameter Budyko model for water balance captures emergent behavior in darwinian hydrologic models D. Wang & Y. Tang https://doi.org/10.1002/2014GL060509
59. Systematic shifts in Budyko relationships caused by groundwater storage changes L. Condon & R. Maxwell https://doi.org/10.5194/hess-21-1117-2017
60. Inferring changes in water cycle dynamics of intensively managed landscapes via the theory of time‐variant travel time distributions M. Danesh‐Yazdi et al. https://doi.org/10.1002/2016WR019091
61. Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters L. Bouaziz et al. https://doi.org/10.5194/hess-26-1295-2022
62. Global Changes in Baseflow Under the Impacts of Changing Climate and Vegetation X. Tan et al. https://doi.org/10.1029/2020WR027349
63. Reevaluation of transit time distributions, mean transit times and their relation to catchment topography S. Seeger & M. Weiler https://doi.org/10.5194/hess-18-4751-2014
64. Global pattern for the effect of climate and land cover on water yield G. Zhou et al. https://doi.org/10.1038/ncomms6918
65. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments H. Beck et al. https://doi.org/10.1029/2019JD031485
66. Comprehensive drought detection, spatiotemporal variations, and attribution across different agricultural climate zones in Eastern China using a copula-based drought index Y. Ma et al. https://doi.org/10.1016/j.agwat.2025.109902
67. Incorporating varying vegetation characteristics driven by Hydrometeorology in the land surface modeling by variable Infiltration Capacity model D. Sebastian & S. Ghosh https://doi.org/10.1016/j.jhydrol.2025.134580
68. Land use and climate change effects on water yield from East African forested water towers C. Wamucii et al. https://doi.org/10.5194/hess-25-5641-2021
69. A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions J. Janssen & A. Ameli https://doi.org/10.1029/2021WR030263
70. Vegetation variation regulates soil moisture sensitivity to climate change on the Loess Plateau M. Ruichen et al. https://doi.org/10.1016/j.jhydrol.2022.128763
71. Quantifying the effects of climate and watershed structure changes on runoff variations in the Tao River basin by using three different methods under the Budyko framework X. Guan et al. https://doi.org/10.1007/s00704-021-03894-5
72. Groundwater travel times predict DOC in streams and riparian soils across a heterogeneous boreal landscape E. Jutebring Sterte et al. https://doi.org/10.1016/j.scitotenv.2022.157398
73. Gradation of the significance level of trends in precipitation over China P. Xie et al. https://doi.org/10.2166/nh.2018.187
74. Water scarcity, data scarcity and the Budyko curve—An application in the Lower Jordan River Basin A. Gunkel & J. Lange https://doi.org/10.1016/j.ejrh.2017.04.004
75. Spatiotemporal evolution of agricultural drought and its attribution under different climate zones and vegetation types in the Yellow River Basin of China Y. Ding et al. https://doi.org/10.1016/j.scitotenv.2023.169687
76. A Budyko framework for estimating how spatial heterogeneity and lateral moisture redistribution affect average evapotranspiration rates as seen from the atmosphere E. Rouholahnejad Freund & J. Kirchner https://doi.org/10.5194/hess-21-217-2017
77. A novel Budyko-based approach to quantify post-forest-fire streamflow response and recovery timescales T. Hampton & N. Basu https://doi.org/10.1016/j.jhydrol.2022.127685
78. Evapotranspiration Mapping in a Heterogeneous Landscape Using Remote Sensing and Global Weather Datasets: Application to the Mara Basin, East Africa T. Alemayehu et al. https://doi.org/10.3390/rs9040390
79. Evapotranspiration sensitivity to air temperature across a snow-influenced watershed: Space-for-time substitution versus integrated watershed modeling S. Jepsen et al. https://doi.org/10.1016/j.jhydrol.2017.11.042
80. Quantifying Water Use Efficiency Across Different Ecosystems Based on Eddy‐Flux Observations X. Chang et al. https://doi.org/10.1002/hyp.70327
81. Interpreting characteristic drainage timescale variability across Kilombero Valley, Tanzania S. Lyon et al. https://doi.org/10.1002/hyp.10304
82. A parsimonious daily water balance model based on the proportionality hypothesis S. Wu et al. https://doi.org/10.1016/j.jhydrol.2024.132414
83. Long‐term water balance partitioning explained by physical and ecological characteristics in world river basins D. Mercado‐Bettín et al. https://doi.org/10.1002/eco.2072
84. Evaluation of the significance of abrupt changes in precipitation and runoff process in China P. Xie et al. https://doi.org/10.1016/j.jhydrol.2018.02.036
85. Full‐flow‐regime storage‐streamflow correlation patterns provide insights into hydrologic functioning over the continental US K. Fang & C. Shen https://doi.org/10.1002/2016WR020283
86. Uncertainty analysis of a spatially explicit annual water-balance model: case study of the Cape Fear basin, North Carolina P. Hamel & A. Guswa https://doi.org/10.5194/hess-19-839-2015
87. Generalized Synchronization Between ENSO and Hydrological Variables in Colombia: A Recurrence Quantification Approach H. Salas et al. https://doi.org/10.3389/fams.2020.00003
88. A recipe for why and how to set up and sustain an experimental catchment D. Penna https://doi.org/10.1002/hyp.15163
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91. Large‐Scale Controls of the Surface Water Balance Over Land: Insights From a Systematic Review and Meta‐Analysis R. Padrón et al. https://doi.org/10.1002/2017WR021215
92. Impacts of Land Use Types, Soil Properties, and Topography on Baseflow Recharge and Prediction in an Agricultural Watershed C. Wei et al. https://doi.org/10.3390/land12010109
93. HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community C. Shen et al. https://doi.org/10.5194/hess-22-5639-2018
94. Plant genetic variation drives geographic differences in atmosphere–plant–ecosystem feedbacks S. Bayliss et al. https://doi.org/10.1002/pei3.10031
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98. Coevolution of volcanic catchments in Japan T. Yoshida & P. Troch https://doi.org/10.5194/hess-20-1133-2016
99. Forests growing under dry conditions have higher hydrological resilience to drought than do more humid forests D. Helman et al. https://doi.org/10.1111/gcb.13551
100. Response of Water Balance Components to Changes in Soil Use and Vegetation Cover Over Three Decades in the Eastern Amazon R. Silva-Júnior et al. https://doi.org/10.3389/frwa.2021.749507
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109. Large-sample hydrology: a need to balance depth with breadth H. Gupta et al. https://doi.org/10.5194/hess-18-463-2014
110. Bridging the gap between numerical solutions of travel time distributions and analytical storage selection functions M. Danesh‐Yazdi et al. https://doi.org/10.1002/hyp.11481
111. Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters M. Ponds et al. https://doi.org/10.5194/hess-29-3545-2025
112. Temperature outweighs light and flow as the predominant driver of dissolved oxygen in US rivers W. Zhi et al. https://doi.org/10.1038/s44221-023-00038-z
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114. Climate warming accelerates surface soil moisture drying in the Yellow River Basin, China K. Fan et al. https://doi.org/10.1016/j.jhydrol.2022.128735
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119. HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al. https://doi.org/10.5194/hess-29-465-2025
120. Assessing the impact of seasonal-rainfall anomalies on catchment-scale water balance components P. Nasta et al. https://doi.org/10.5194/hess-24-3211-2020
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122. Climatic controls on the hydrologic effects of urban low impact development practices C. Voter & S. Loheide https://doi.org/10.1088/1748-9326/abfc06
123. Hydrological recovery in two large forested watersheds of southeastern China: the importance of watershed properties in determining hydrological responses to reforestation W. Liu et al. https://doi.org/10.5194/hess-20-4747-2016
124. A hillslope-scale aquifer-model to determine past agricultural legacy and future nitrate concentrations in rivers L. Guillaumot et al. https://doi.org/10.1016/j.scitotenv.2021.149216
125. Parameter transferability within homogeneous regions and comparisons with predictions from a priori parameters in the eastern United States W. Chouaib et al. https://doi.org/10.1016/j.jhydrol.2018.03.018
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128. Spatial Patterns of Water Age: Using Young Water Fractions to Improve the Characterization of Transit Times in Contrasting Catchments S. Lutz et al. https://doi.org/10.1029/2017WR022216
129. Unexpected hydrologic response to ecosystem state change in tallgrass prairie R. Keen et al. https://doi.org/10.1016/j.jhydrol.2024.131937
130. Spatial and temporal patterns of soil water storage and vegetation water use in humid northern catchments J. Geris et al. https://doi.org/10.1016/j.scitotenv.2017.03.275
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132. Soil micro-climate variation in relation to slope aspect, position, and curvature in a forested catchment B. Fan et al. https://doi.org/10.1016/j.agrformet.2020.107999
133. Establishment of Instream and Off-Stream Ecological Water Requirements and Its Climate Impact at a Semi-Arid Watershed Q. Fang et al. https://doi.org/10.3390/w17040542
134. Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach J. Groh et al. https://doi.org/10.5194/hess-24-1211-2020
135. Spatial pattern of hydrological and erosion behaviour along a dolomite hillslope in Southwest China Q. Meng et al. https://doi.org/10.1016/j.catena.2023.107407
136. Hybrid modeling for daily streamflow forecasting: A study over the contiguous United States F. Zeng et al. https://doi.org/10.1016/j.jhydrol.2025.134477
137. Modeling interannual variability of seasonal evaporation and storage change based on the extended Budyko framework X. Chen et al. https://doi.org/10.1002/wrcr.20493
138. What makes Darwinian hydrology "Darwinian"? Asking a different kind of question about landscapes C. Harman & P. Troch https://doi.org/10.5194/hess-18-417-2014
139. Climate and hydrological variability: the catchment filtering role I. Andrés-Doménech et al. https://doi.org/10.5194/hess-19-379-2015
140. Regional Patterns of Baseflow Variability in Mexican Subwatersheds V. Salas-Aguilar et al. https://doi.org/10.3390/w8030098
141. Disentangling event-scale hydrologic flow partitioning in mountains of the Korean Peninsula under extreme precipitation C. Shope https://doi.org/10.1016/j.jhydrol.2016.04.050
142. Dual function of root systems in balancing soil water flow behavior Z. Tang et al. https://doi.org/10.1038/s43247-025-03062-x
143. Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy X. Xie et al. https://doi.org/10.5194/hess-18-3923-2014
144. A Whittaker Biome‐Based Framework to Account for the Impact of Climate Change on Catchment Behavior A. Deshmukh & R. Singh https://doi.org/10.1029/2018WR023113