93 citations as recorded by crossref.

1. The importance of topography-controlled sub-grid process heterogeneity and semi-quantitative prior constraints in distributed hydrological models R. Nijzink et al. 10.5194/hess-20-1151-2016
2. Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data Z. Duan et al. 10.3390/rs10071060
3. Xin’anjiang Nested Experimental Watershed (XAJ-NEW) for Understanding Multiscale Water Cycle: Scientific Objectives and Experimental Design K. Zhang et al. 10.1016/j.eng.2021.08.026
4. Ecohydrologic model with satellite-based data for predicting streamflow in ungauged basins J. Choi et al. 10.1016/j.scitotenv.2023.166617
5. Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. 10.1016/j.pce.2024.103565
6. From spatially variable streamflow to distributed hydrological models: Analysis of key modeling decisions F. Fenicia et al. 10.1002/2015WR017398
7. Analyzing runoff processes through conceptual hydrological modeling in the Upper Blue Nile Basin, Ethiopia M. Dessie et al. 10.5194/hess-18-5149-2014
8. Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
9. SuperflexPy 1.3.0: an open-source Python framework for building, testing, and improving conceptual hydrological models M. Dal Molin et al. 10.5194/gmd-14-7047-2021
10. Modeling boreal forest evapotranspiration and water balance at stand and catchment scales: a spatial approach S. Launiainen et al. 10.5194/hess-23-3457-2019
11. Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations M. Antonetti et al. 10.5194/hess-20-2929-2016
12. Predicting the ungauged basin: model validation and realism assessment T. van Emmerik et al. 10.3389/feart.2015.00062
13. Permafrost Hydrology of the Qinghai-Tibet Plateau: A Review of Processes and Modeling H. Gao et al. 10.3389/feart.2020.576838
14. Retention of Afforestation Areas as Part of Flood Protection - Research Site and Methodology for Headwater Watershad in Poland / Retencja Leśna Zlewni Jako Element Ochrony Przeciwpowodziowej T. Orczykowski & A. Tiukało 10.1515/ceer-2016-0006
15. Simulating glacier mass balance and its contribution to runoff in Northern Sweden B. Mohammadi et al. 10.1016/j.jhydrol.2023.129404
16. Enhancing rainfall–runoff model accuracy with machine learning models by using soil water index to reflect runoff characteristics S. Iamampai et al. 10.2166/wst.2023.424
17. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region H. Gao et al. 10.1002/2016WR019574
18. HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
19. HESS Opinions Catchments as meta-organisms – a new blueprint for hydrological modelling H. Savenije & M. Hrachowitz 10.5194/hess-21-1107-2017
20. Investigating the appropriate model structure for simulation of a karst catchment from the aspect of spatial complexity Y. Chang et al. 10.1007/s12665-018-8017-y
21. Process refinements improve a hydrological model concept applied to the Niger River basin J. Andersson et al. 10.1002/hyp.11376
22. Spatial combination model for semi-humid and semi-arid watersheds L. Yuhuan et al. 10.18307/2020.0322
23. Modelling river flow in cold and ungauged regions: a review of the purposes, methods, and challenges C. Belvederesi et al. 10.1139/er-2021-0043
24. Accelerating advances in continental domain hydrologic modeling S. Archfield et al. 10.1002/2015WR017498
25. Assessing the interlinkage of green and blue water in an arid catchment in Northwest China G. Mao et al. 10.1007/s10653-019-00406-3
26. Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model N. Sriwongsitanon et al. 10.5194/hess-20-3361-2016
27. Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions F. Reichl & J. Hack 10.3390/w9080572
28. Trade-offs between parameter constraints and model realism: a case study F. Jehn et al. 10.1038/s41598-019-46963-6
29. Dam-induced hydrological alterations in the upper Cauvery river basin, India A. Ekka et al. 10.1016/j.ejrh.2022.101231
30. The hydrological system as a living organism H. Savenije 10.5194/piahs-385-1-2024
31. Contrasting roles of interception and transpiration in the hydrological cycle – Part 1: Temporal characteristics over land L. Wang-Erlandsson et al. 10.5194/esd-5-441-2014
32. Improving snow process modeling with satellite‐based estimation of near‐surface‐air‐temperature lapse rate L. Wang et al. 10.1002/2016JD025506
33. Estimating extreme river discharges in Europe through a Bayesian network D. Paprotny & O. Morales-Nápoles 10.5194/hess-21-2615-2017
34. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. 10.1029/2022WR033731
35. How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
36. Spatiotemporal soil moisture response and controlling factors along a hillslope E. Lee & S. Kim 10.1016/j.jhydrol.2021.127382
37. Parameter regionalization of the FLEX-Global hydrological model J. Wang et al. 10.1007/s11430-020-9706-3
38. Trigger characteristics of torrential flows from high to low alpine regions in Austria D. Prenner et al. 10.1016/j.scitotenv.2018.12.206
39. Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe C. Donnelly et al. 10.1080/02626667.2015.1027710
40. Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. 10.1029/2020WR028837
41. A comprehensive strategy for modeling watershed restoration priority areas under epistemic uncertainty: A case study in the Atlantic Forest, Brazil I. Possantti et al. 10.1016/j.jhydrol.2022.129003
42. The eWaterCycle platform for open and FAIR hydrological collaboration R. Hut et al. 10.5194/gmd-15-5371-2022
43. The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment D. Prenner et al. 10.1029/2018WR022985
44. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity M. Hrachowitz et al. 10.1002/2014WR015484
45. Modeling Ecohydrological Processes and Spatial Patterns in the Upper Heihe Basin in China B. Gao et al. 10.3390/f7010010
46. Correlation between vegetation and environment at different levels in an arid, mountainous region of China N. Gao et al. 10.1002/ece3.3088
47. Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
48. Sensitivity and Performance Analyses of the Distributed Hydrology–Soil–Vegetation Model Using Geomorphons for Landform Mapping P. Melo et al. 10.3390/w13152032
49. Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models S. Wang et al. 10.5194/hess-27-3083-2023
50. 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
51. Understanding the impacts of catchment characteristics on the shape of the storage capacity curve and its influence on flood flows H. Gao et al. 10.2166/nh.2017.245
52. Improved Process Representation in the Simulation of the Hydrology of a Meso-Scale Semi-Arid Catchment A. Saraiva Okello et al. 10.3390/w10111549
53. Systematic increase in model complexity helps to identify dominant streamflow mechanisms in two small forested basins P. David et al. 10.1080/02626667.2019.1585858
54. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. 10.5194/gmd-17-3199-2024
55. Surface water and groundwater: unifying conceptualization and quantification of the two “water worlds” B. Berkowitz & E. Zehe 10.5194/hess-24-1831-2020
56. Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. 10.5194/hess-18-4839-2014
57. Signatures of human intervention – or not? Downstream intensification of hydrological drought along a large Central Asian river: the individual roles of climate variability and land use change A. Roodari et al. 10.5194/hess-25-1943-2021
58. Spatial Combination Modeling Framework of Saturation-Excess and Infiltration-Excess Runoff for Semihumid Watersheds P. Huang et al. 10.1155/2016/5173984
59. Time scale interactions and the coevolution of humans and water M. Sivapalan & G. Blöschl 10.1002/2015WR017896
60. Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau H. Gao et al. 10.5194/hess-26-4187-2022
61. Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement P. Hulsman et al. 10.5194/hess-25-957-2021
62. The effect of forcing and landscape distribution on performance and consistency of model structures T. Euser et al. 10.1002/hyp.10445
63. The role of local perched aquifers in regional groundwater recharge in semi-arid environments: evidence from the Cuvelai-Etosha Basin, Namibia J. Hamutoko et al. 10.1007/s10040-019-02008-w
64. Use of auxiliary data of topography, snow and ice to improve model performance in a glacier-dominated catchment in Central Asia H. Gao et al. 10.2166/nh.2016.242
65. Assessment of surface water resources availability using catchment modelling and the results of tracer studies in the mesoscale Migina Catchment, Rwanda O. Munyaneza et al. 10.5194/hess-18-5289-2014
66. Changes of hydro-meteorological trigger conditions for debris flows in a future alpine climate R. Kaitna et al. 10.1016/j.scitotenv.2023.162227
67. Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria S. Hanus et al. 10.5194/hess-25-3429-2021
68. Nonsequential Response in Mountainous Areas of Southwest China L. Liu et al. 10.3389/feart.2021.660244
69. Landscape heterogeneity and hydrological processes: a review of landscape-based hydrological models H. Gao et al. 10.1007/s10980-018-0690-4
70. HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation A. Bahremand 10.5194/hess-20-1433-2016
71. Hydrologic landscape classification evaluates streamflow vulnerability to climate change in Oregon, USA S. Leibowitz et al. 10.5194/hess-18-3367-2014
72. Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
73. Stepwise modeling and the importance of internal variables validation to test model realism in a data scarce glacier basin H. Gao et al. 10.1016/j.jhydrol.2020.125457
74. Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map E. Lee & S. Kim 10.5194/hess-25-5733-2021
75. Attribution of runoff change in the alpine basin: a case study of the Heihe Upstream Basin, China Z. Cong et al. 10.1080/02626667.2017.1283043
76. A topographic index explaining hydrological similarity by accounting for the joint controls of runoff formation R. Loritz et al. 10.5194/hess-23-3807-2019
77. WAYS v1: a hydrological model for root zone water storage simulation on a global scale G. Mao & J. Liu 10.5194/gmd-12-5267-2019
78. The importance of aspect for modelling the hydrological response in a glacier catchment in Central Asia H. Gao et al. 10.1002/hyp.11224
79. Comparison modeling for alpine vegetation distribution in an arid area J. Zhou et al. 10.1007/s10661-016-5417-x
80. Modeling streamflow variability at the regional scale: (2) Development of a bespoke distributed conceptual model F. Fenicia et al. 10.1016/j.jhydrol.2021.127286
81. A constraint-based search algorithm for parameter identification of environmental models S. Gharari et al. 10.5194/hess-18-4861-2014
82. Recursive Bayesian Estimation of Conceptual Rainfall‐Runoff Model Errors in Real‐Time Prediction of Streamflow M. Tajiki et al. 10.1029/2019WR025237
83. Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin P. Hulsman et al. 10.5194/hess-22-5081-2018
84. A simple topography-driven and calibration-free runoff generation module H. Gao et al. 10.5194/hess-23-787-2019
85. On the use of spatially distributed, time-lapse microgravity surveys to inform hydrological modeling S. Piccolroaz et al. 10.1002/2015WR016994
86. Transit times—the link between hydrology and water quality at the catchment scale M. Hrachowitz et al. 10.1002/wat2.1155
87. Mapping groundwater in ungauged lake basin in Tanzania: A comparison between two topography based methods G. Okwir et al. 10.1016/j.gsd.2021.100697
88. Structural Universality of the Distributed Hydrological Model for Small- and Medium-Scale Basins with Different Topographies J. Huang et al. 10.1061/(ASCE)HE.1943-5584.0001595
89. Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes L. Martin et al. 10.5194/hess-27-4409-2023
90. Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case I. Pechlivanidis & B. Arheimer 10.5194/hess-19-4559-2015
91. Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment M. Dal Molin et al. 10.5194/hess-24-1319-2020
92. The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. 10.1016/j.envsoft.2023.105808
93. Tracing geochemical pollutants in stream water and soil from mining activity in an alpine catchment J. Li et al. 10.1016/j.chemosphere.2019.125167