2035 citations as recorded by crossref.

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2. Application of the SWAT model to assess climate and land use/cover change impacts on water balance components of the Kabul River Basin, Afghanistan J. Ougahi et al. https://doi.org/10.2166/wcc.2022.261
3. Impact of Climate Change on Daily Streamflow and Its Extreme Values in Pacific Island Watersheds O. Leta et al. https://doi.org/10.3390/su10062057
4. The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models Y. Kim et al. https://doi.org/10.1007/s00477-022-02366-0
5. Can We Calibrate a Daily Time-Step Hydrological Model Using Monthly Time-Step Discharge Data? S. Adla et al. https://doi.org/10.3390/w11091750
6. Integrated Water Quality Management Model for the Rural Transboundary River Basin—A Case Study of the Sutla/Sotla River G. Ćosić-Flajsig et al. https://doi.org/10.3390/w13182569
7. Meteorological and Hydrological Drought Assessment for Dong Nai River Basin, Vietnam under Climate Change V. Linh et al. https://doi.org/10.1007/s11036-021-01757-x
8. Revisiting linear regression to test agreement in continuous predicted-observed datasets A. Correndo et al. https://doi.org/10.1016/j.agsy.2021.103194
9. Effects of initial abstraction ratios in SCS-CN method on runoff prediction of green roofs in a semi-arid region W. Liu et al. https://doi.org/10.1016/j.ufug.2021.127331
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11. Assessing current and future available resources to supply urban water demands using a high-resolution SWAT model coupled with recurrent neural networks and validated through the SIMPA model in karstic Mediterranean environments A. Jodar-Abellan et al. https://doi.org/10.1007/s11356-024-34404-5
12. Estimation of Nonpoint Source Nitrate Concentrations in Indiana Rivers Based on Agricultural Drainage in the Watershed Y. Jiang et al. https://doi.org/10.1111/jawr.12216
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14. Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia R. Deo & M. Şahin https://doi.org/10.1016/j.atmosres.2015.03.018
15. Effects of LID Implementation on Hydrological Processes in an Urban Catchment under Consolidation in Brazil F. Zanandrea & A. Silveira https://doi.org/10.1061/(ASCE)EE.1943-7870.0001417
16. Signatures of regular black holes from the quasar continuum spectrum I. Banerjee https://doi.org/10.1140/epjc/s10052-023-11320-5
17. Simulation of Past Changes in the Austrian Snow Cover 1948–2009 T. Marke et al. https://doi.org/10.1175/JHM-D-17-0245.1
18. A refined regional modeling approach for the Corn Belt – Experiences and recommendations for large-scale integrated modeling Y. Panagopoulos et al. https://doi.org/10.1016/j.jhydrol.2015.02.039
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25. Enhanced SCS-CN models for long-duration hydrologic simulations across various time scales H. Aragaw https://doi.org/10.1007/s40808-025-02374-3
26. Ideal point error for model assessment in data-driven river flow forecasting C. Dawson et al. https://doi.org/10.5194/hess-16-3049-2012
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30. Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas P. Kinnell https://doi.org/10.1016/j.catena.2016.05.017
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32. Using JABOWA-3 for forest growth and yield predictions under diverse forest conditions of Nova Scotia, Canada M. Ashraf et al. https://doi.org/10.5558/tfc2012-137
33. Effects of hydrologic conditions on SWAT model performance and parameter sensitivity for a small, mixed land use catchment in New Zealand W. Me et al. https://doi.org/10.5194/hess-19-4127-2015
34. Investigating human-induced threat to hydrological regime of Lake Chilwa Basin, Malawi O. Kambombe et al. https://doi.org/10.1007/s13201-023-01965-8
35. SWAT-Based Assessment of the Water Regulation Index Under RCP 4.5 and RCP 8.5 Scenarios in the San Pedro River Basin M. Arteaga Madera et al. https://doi.org/10.3390/hydrology13020045
36. Enhancing reservoir water quality simulation through machine learning-driven remote sensing integration with EFDC: a coupled framework for eutrophication management in data-scarce regions H. Meng et al. https://doi.org/10.1038/s41598-026-46641-4
37. Modeling daily soil temperature over diverse climate conditions in Iran—a comparison of multiple linear regression and support vector regression techniques M. Delbari et al. https://doi.org/10.1007/s00704-018-2370-3
38. A watershed scale assessment of phosphorus remediation strategies for achieving water quality restoration targets in the western Everglades Y. Khare et al. https://doi.org/10.1016/j.ecoleng.2019.105663
39. Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake J. Lu et al. https://doi.org/10.1111/1752-1688.12866
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41. Developing an Agent-Based Model of Dual-Flush Toilet Adoption E. Ramsey & E. Berglund https://doi.org/10.1061/(ASCE)WR.1943-5452.0001454
42. Modeling the impacts of climate change on mass balance and discharge of Eklutna Glacier, Alaska, 1985–2019 J. Geck et al. https://doi.org/10.1017/jog.2021.41
43. Investigating the contribution of decomposition techniques to machine learning accuracy in SPEI-based drought forecasting for multiple Köppen-Geiger climates E. Anık et al. https://doi.org/10.1007/s11600-025-01773-5
44. Derivation of 2D Velocity Distribution in Watercourses Using Entropy G. Marini et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001492
45. HUP‐BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting P. Darbandsari & P. Coulibaly https://doi.org/10.1029/2020WR029433
46. NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture E. Koohikeradeh et al. https://doi.org/10.3390/su17062399
47. Hydrologic Modeling of Flow through Sinkholes Located in Streambeds of Cane Run Stream, Kentucky B. Palanisamy & S. Workman https://doi.org/10.1061/(ASCE)HE.1943-5584.0001060
48. Impacts of Climate Change and Variability on Precipitation and Maximum Flows in Devil’s Creek, Tacna, Peru E. Pino-Vargas et al. https://doi.org/10.3390/hydrology9010010
49. Applicability of TOPMODEL in the mountainous catchments in the upper Nysa Kłodzka river basin (SW Poland) J. Jeziorska & T. Niedzielski https://doi.org/10.1007/s11600-018-0121-6
50. Evaluation of widespread flooding of the Karkheh Basin in Iran using SWAT model and GLDAS database V. Kuchak et al. https://doi.org/10.1007/s11069-023-05881-7
51. Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors H. Sanikhani et al. https://doi.org/10.1016/j.compag.2018.07.008
52. Assessing the spatio-temporal impact of landuse landcover change on water yield dynamics of rapidly urbanizing Kathmandu valley watershed of Nepal S. Acharya et al. https://doi.org/10.1016/j.ejrh.2023.101562
53. Assessing the effectiveness of split fertilization and cover crop cultivation in order to conserve soil and water resources and improve crop productivity G. Maharjan et al. https://doi.org/10.1016/j.agwat.2015.10.005
54. Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams M. Zounemat-Kermani https://doi.org/10.2166/nh.2016.219
55. Estimating the reliability of a rainwater catchment system using the output data of general circulation models for the future period (case study: Birjand City, Iran) A. Jafarzadeh et al. https://doi.org/10.1007/s00704-018-2714-z
56. Soil Salinity Characterization Using Polarimetric InSAR Coherence: Case Studies in Tunisia and Morocco M. Barbouchi et al. https://doi.org/10.1109/JSTARS.2014.2333535
57. Biomass Estimation Models for Cocoa (<i>Theobroma cacao</i>) Plantations in Ghana, West Africa E. Donkor et al. https://doi.org/10.4236/ojapps.2023.139126
58. Parameterization and quantification of recharge in crystalline fractured bedrocks in Galicia-Costa (NW Spain) J. Raposo et al. https://doi.org/10.5194/hess-16-1667-2012
59. 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. https://doi.org/10.5194/hess-22-5081-2018
60. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability S. Nemri & C. Kinnard https://doi.org/10.1016/j.jhydrol.2019.124474
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66. Research for forecasting the effect of various meteorological-dynamic conditions on the possible spreading of Cs-137 radioactive substances in case a level 7 incident occurs from Fengcheng nuclear power plant (China) H. Nguyen Minh et al. https://doi.org/10.15625/1859-3097/15964
67. Modeling Infiltration Behavior to Assess the Reliability of Surface Flow Generation in Forested and Deforested Watersheds V. Prajith et al. https://doi.org/10.1061/JHYEFF.HEENG-6646
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70. Performance evaluation of global hydrological models in six large Pan-Arctic watersheds A. Gädeke et al. https://doi.org/10.1007/s10584-020-02892-2
71. Ant Colony Based Artificial Neural Network for Predicting Spatial and Temporal Variation in Groundwater Quality R. Bhavya et al. https://doi.org/10.3390/w15122222
72. Model-based Scenario Analysis of the Impact of Remediation Measures on Metal Leaching from Soils Contaminated by Historic Smelter Emissions I. Joris et al. https://doi.org/10.2134/jeq2013.07.0287
73. Calibration of hydrological models for ecologically relevant streamflow predictions: a trade-off between fitting well to data and estimating consistent parameter sets? T. Hallouin et al. https://doi.org/10.5194/hess-24-1031-2020
74. Using gridded rainfall products in simulating streamflow in a tropical catchment – A case study of the Srepok River Catchment, Vietnam V. Thom et al. https://doi.org/10.1515/johh-2016-0047
75. Impact of CO 2 storage flux sampling uncertainty on net ecosystem exchange measured by eddy covariance G. Nicolini et al. https://doi.org/10.1016/j.agrformet.2017.09.025
76. Evaluation of NASA land information system in prediection stream runoff: case study of Atbara and Blue Nile Sub-Basins R. Ali & S. Zahran https://doi.org/10.1007/s40808-022-01663-5
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78. Development of a Multi-Scale Groundwater Drought Prediction Model Using Deep Learning and Hydrometeorological Data D. Kang & K. Byun https://doi.org/10.3390/w16142036
79. Gridded Datasets for Comparative Analysis of Rainfall Patterns Over Eco‐Climatic Zones of Narok County, Kenya O. Ombogo et al. https://doi.org/10.1155/adme/4895679
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110. Flow alterations due a constructed reservoir in the Menik Ganga basin, Sri Lanka S. Hemakumara et al. https://doi.org/10.1007/s43832-023-00049-7
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1175. Development of a model to simulate soil heavy metals lateral migration quantity based on SWAT in Huanjiang watershed, China P. Qiao et al. https://doi.org/10.1016/j.jes.2018.06.020
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1206. Global Sensitivity Analysis-based Design of Low Impact Development Practices for Urban Runoff Management Under Uncertainty M. Hashemi & N. Mahjouri https://doi.org/10.1007/s11269-022-03140-1
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