91 citations as recorded by crossref.

1. Towards a more consistent eco-hydrological modelling through multi-objective calibration: a case study in the Andean Vilcanota River basin, Peru C. Fernandez-Palomino et al. https://doi.org/10.1080/02626667.2020.1846740
2. Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin A. Nkwasa et al. https://doi.org/10.1016/j.ejrh.2022.101152
3. Unravelling the Role of Vegetation Dynamics in the Execution of ArcSWAT Hydrological Modeling for Cumulative Streamflow of a Tibetan Watershed S. Hakeem et al. https://doi.org/10.3390/atmos14101530
4. Assessment of vegetation carrying capacity at the basin-scale using an improved SWAT model S. An et al. https://doi.org/10.1016/j.catena.2025.109767
5. Effects of landscape conservation on the ecohydrological and water quality functions and services and their driving factors Y. Cao et al. https://doi.org/10.1016/j.scitotenv.2022.160695
6. Streamflow response to land use/land cover change in the tropical Andes using multiple SWAT model variants S. Valencia et al. https://doi.org/10.1016/j.ejrh.2024.101888
7. Hydrologic simulation of a neotropical alpine catchment influenced by conductive topsoils in the Ecuadorian Andes F. Jarrin-Perez et al. https://doi.org/10.3389/fenvs.2024.1303388
8. Comparison of blue and green water fluxes for different land use classes in a semi-arid cultivated catchment using remote sensing A. Msigwa et al. https://doi.org/10.1016/j.ejrh.2021.100860
9. Future Impacts of Climate Change on Streamflow and Sedimentation of Merawu Catchment, Indonesia M. Fathi Dhiya Ulhaq et al. https://doi.org/10.1051/bioconf/202516703004
10. Decadal spatio-temporal dynamics of drought in semi-arid farming regions of Zimbabwe between 1990 and 2020: a case of Mberengwa and Zvishavane districts O. Mupepi & M. Matsa https://doi.org/10.1007/s00704-022-04327-7
11. The response of water balance components to land cover change based on hydrologic modeling and partial least squares regression (PLSR) analysis in the Upper Awash Basin A. Shawul et al. https://doi.org/10.1016/j.ejrh.2019.100640
12. Effects of forest growth in different vegetation communities on forest catchment water balance K. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.151159
13. Innovative approach to prognostic plant growth modeling in SWAT+ for forest and perennial vegetation in tropical and Sub-Tropical climates T. Abitew et al. https://doi.org/10.1016/j.hydroa.2023.100156
14. The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa F. Merk et al. https://doi.org/10.5194/hess-28-5511-2024
15. Coupled Simulation-Optimization Model for the Management of Groundwater Resources by Considering Uncertainty and Conflict Resolution K. Norouzi Khatiri et al. https://doi.org/10.1007/s11269-020-02637-x
16. A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions M. Tan et al. https://doi.org/10.3390/w11050914
17. Spatial and Temporal Pattern of Ecological Requirement of Natural Vegetation on the Qinghai–Tibet Plateau From 1991 to 2020 K. Lei et al. https://doi.org/10.1155/adme/5555434
18. Modelling the ecohydrological responses of two eucalyptus–dominated catchments in Central and Southern Portugal with contrasting edaphoclimatic characteristics to future climate scenarios J. Rocha et al. https://doi.org/10.1016/j.ejrh.2026.103508
19. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions A. Rajib et al. https://doi.org/10.3390/rs12132148
20. Modelling Floodplain Vegetation Response to Climate Change, Using the Soil and Water Assessment Tool (SWAT) Model Simulated LAI, Applying Different GCM’s Future Climate Data and MODIS LAI Data N. Muhury et al. https://doi.org/10.3390/rs16071204
21. Simulation of regional irrigation requirement with SWAT in different agro-climatic zones driven by observed climate and two reanalysis datasets B. Uniyal et al. https://doi.org/10.1016/j.scitotenv.2018.08.248
22. Optimal selection of cost-effective biological runoff management scenarios at watershed scale using SWAT-GA tool A. Golpaygani et al. https://doi.org/10.1016/j.ejrh.2023.101489
23. Planning and Evaluating Nature-Based Solutions for Watershed Investment Programs with a SMART Perspective Using a Distributed Modeling Tool M. Jiménez et al. https://doi.org/10.3390/w15193388
24. Modeling Streamflow Response to Persistent Drought in a Coastal Tropical Mountainous Watershed, Sierra Nevada De Santa Marta, Colombia N. Hoyos et al. https://doi.org/10.3390/w11010094
25. Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions H. Rhomad et al. https://doi.org/10.1007/s11269-022-03382-z
26. Application of Spatially Distributed Calibrated Hydrological Model in Evapotranspiration Simulation of Three Gorges Reservoir Area of China: A Case Study in the Madu River Basin J. Chen et al. https://doi.org/10.1007/s11769-022-1318-9
27. Beyond streamflow: Plausible hydrological modelling for the Upper Blue Nile Basin, Ethiopia A. Mohamed et al. https://doi.org/10.1016/j.ejrh.2025.102290
28. Modelling the Impact of Vegetation Change on Hydrological Processes in Bayin River Basin, Northwest China X. Jin et al. https://doi.org/10.3390/w13192787
29. Enhancing ecohydrological simulation with improved dynamic vegetation growth module in SWAT S. An et al. https://doi.org/10.1016/j.jhydrol.2024.132042
30. What is the current state and potential for hydrologic models to simulate vegetation dynamically? F. Kordrostami et al. https://doi.org/10.1016/j.jhydrol.2025.133401
31. Modelling the effects of climate change on transpiration and evaporation in natural and constructed grasslands in the semi-arid Loess Plateau, China L. Li et al. https://doi.org/10.1016/j.agee.2020.107077
32. Constrained tropical land temperature-precipitation sensitivity reveals decreasing evapotranspiration and faster vegetation greening in CMIP6 projections B. Zhu et al. https://doi.org/10.1038/s41612-023-00419-x
33. Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+ O. Mohammadi Igder et al. https://doi.org/10.1016/j.jhydrol.2022.128012
34. Using hydropedological characteristics to improve modelling accuracy in Afromontane catchments R. Harrison et al. https://doi.org/10.1016/j.ejrh.2021.100986
35. Dynamic canopy initiation in SWAT-C: Integrating climate-driven phenology and MODIS LAI in data-limited regions A. Aashi & V. Vema https://doi.org/10.1016/j.envsoft.2026.107109
36. Coupling the remote sensing data-enhanced SWAT model with the bidirectional long short-term memory model to improve daily streamflow simulations L. Jin et al. https://doi.org/10.1016/j.jhydrol.2024.131117
37. Localizing agricultural impacts of 21 century climate pathways in data scarce catchments: A case study of the Nyando catchment, Kenya K. Lekarkar et al. https://doi.org/10.1016/j.agwat.2024.108696
38. CoSWAT Model v1: A high-resolution global SWAT+ hydrological model C. Chawanda et al. https://doi.org/10.5194/hess-29-6901-2025
39. Integrating new fruit and vegetable growth parameters in SWAT models for improved simulations T. Brighenti et al. https://doi.org/10.3389/fpls.2026.1745017
40. Assessing the impact of a multimetric calibration procedure on modelling performance in a headwater catchment in Mau Forest, Kenya A. Kamamia et al. https://doi.org/10.1016/j.ejrh.2018.12.005
41. Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in two climatic zones in Egypt M. Morsy et al. https://doi.org/10.2166/wcc.2024.303
42. Improved representation of agricultural land use and crop management for large-scale hydrological impact simulation in Africa using SWAT+ A. Nkwasa et al. https://doi.org/10.5194/hess-26-71-2022
43. Minimum forest cover required for sustainable water flow regulation of a watershed: a case study in Jambi Province, Indonesia S. Tarigan et al. https://doi.org/10.5194/hess-22-581-2018
44. A Review of the Application of the Soil and Water Assessment Tool (SWAT) in Karst Watersheds I. Al Khoury et al. https://doi.org/10.3390/w15050954
45. Modeling the Role of Novel Ecosystems in Runoff and Soil Protection: Native and Non-native Subtropical Montane Forests Y. Jimenez & E. Aráoz https://doi.org/10.1007/s11269-024-03842-8
46. Hydrologic response to large-scale land use and cover changes in the Upper Paraná River Basin between 1985 and 2015 S. Abou Rafee et al. https://doi.org/10.1007/s10113-021-01827-6
47. Improved forest dynamics leads to better hydrological predictions in watershed modeling H. Haas et al. https://doi.org/10.1016/j.scitotenv.2022.153180
48. Modeling the Impact of Land Use Change on Basin‐scale Transfer of Fecal Indicator Bacteria: SWAT Model Performance M. Kim et al. https://doi.org/10.2134/jeq2017.11.0456
49. Seasonal dynamics of agro-meteorological drought in Mberengwa and Zvishavane districts between 2017 and 2020, Zimbabwe O. Mupepi & M. Matsa https://doi.org/10.1007/s11069-022-05294-y
50. Quantitative analysis of the impacts of climate and land-cover changes on urban flood runoffs: a case of Dar es Salaam, Tanzania P. Mzava et al. https://doi.org/10.2166/wcc.2021.026
51. SWAT-3PG: Improving forest growth simulation with a process-based forest model in SWAT R. Karki et al. https://doi.org/10.1016/j.envsoft.2023.105705
52. A novel high-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds – development and hydrological evaluation https://doi.org/10.1175/JHM-D-20-0285.1
53. Hydrological Simulation in the Corumbataí River Basin Using the SWAT Model: Simulation of Hydrological Variables and Land Use and Land Cover Scenarios L. Moura et al. https://doi.org/10.1061/JHYEFF.HEENG-6285
54. Evaluating SWAT-3PG simulation of hydrologic and water quality processes in a forested watershed: A case study in the St. Croix River Basin R. Karki et al. https://doi.org/10.1016/j.jhydrol.2024.132393
55. Watershed scale modeling of Dissolved organic carbon export from variable source areas R. Mukundan et al. https://doi.org/10.1016/j.jhydrol.2023.130052
56. The impact of calibration strategies on future evapotranspiration projections: a SWAT-T comparison of three hydrological modeling approaches in West Africa F. Merk et al. https://doi.org/10.5194/hess-30-4529-2026
57. Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes S. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.128817
58. Basin-scale factors in emergence of midchannel islands: a process-based morphometric analysis N. Heidari et al. https://doi.org/10.1007/s12665-023-11203-8
59. On the Calibration of Spatially Distributed Hydrologic Models for Poorly Gauged Basins: Exploiting Information from Streamflow Signatures and Remote Sensing-Based Evapotranspiration Data T. Alemayehu et al. https://doi.org/10.3390/w14081252
60. The neglected role of forest eco-hydrological process representation in regulating watershed nitrogen loss X. Cui et al. https://doi.org/10.1016/j.watres.2025.123735
61. Modeling seasonal sediment yields for a medium-scale temperate forest/agricultural watershed C. Day & J. Liebman https://doi.org/10.1080/02723646.2021.1934957
62. Empowering a coupled hydrological-geotechnical model to simulate long-term vegetation dynamics and their impact on catchment-scale flood and landslide hazards G. Chen et al. https://doi.org/10.1016/j.jhydrol.2025.133225
63. Stronger Impact of Extreme Heat Event on Vegetation Temperature Sensitivity under Future Scenarios with High-Emission Intensity H. Yang et al. https://doi.org/10.3390/rs16193708
64. Integrating dynamic vegetation phenology into SWAT improves watershed nitrogen and phosphorus simulations Z. Wang et al. https://doi.org/10.1016/j.jenvman.2026.130123
65. A Comparative Analysis of Remotely Sensed and High-Fidelity ArcSWAT Evapotranspiration Estimates Across Various Timescales in the Upper Anthemountas Basin, Greece S. Sevastas et al. https://doi.org/10.3390/hydrology12070171
66. Multi-variable calibration of SWAT in a small experimental catchment area for afforestation scenario analyses E. Nervi et al. https://doi.org/10.1080/02626667.2025.2552349
67. Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia H. Zhang et al. https://doi.org/10.1016/j.jhydrol.2020.124822
68. Combined use of crop yield statistics and remotely sensed products for enhanced simulations of evapotranspiration within an agricultural watershed S. Lee et al. https://doi.org/10.1016/j.agwat.2022.107503
69. A Review of SWAT Model Application in Africa G. Akoko et al. https://doi.org/10.3390/w13091313
70. Hydrological Modeling in Data-Scarce Catchments: The Kilombero Floodplain in Tanzania K. Näschen et al. https://doi.org/10.3390/w10050599
71. How Can We Represent Seasonal Land Use Dynamics in SWAT and SWAT+ Models for African Cultivated Catchments? A. Nkwasa et al. https://doi.org/10.3390/w12061541
72. Modifying the SWAT Model to Simulate Eco-Hydrological Processes in an Arid Grassland Dominated Watershed X. Jin et al. https://doi.org/10.3389/fenvs.2022.939321
73. Fire enhances forest degradation within forest edge zones in Africa Z. Zhao et al. https://doi.org/10.1038/s41561-021-00763-8
74. Hydrologic Response to Land Use Change in a Large Basin in Eastern Amazon V. Dos Santos et al. https://doi.org/10.3390/w10040429
75. Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania’s Kilombero Valley W. Senkondo et al. https://doi.org/10.3390/rs11111289
76. Improvement of evapotranspiration estimates for grasslands in the southern Great Plains: Comparing a biophysical model (SWAT) and remote sensing (MODIS) L. Qiao et al. https://doi.org/10.1016/j.ejrh.2022.101275
77. Coupling SWAT with LANDIS for integrated landscape-scale forest dynamics and ecohydrological simulations at forested watershed T. Ma et al. https://doi.org/10.1016/j.ecolmodel.2026.111775
78. Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment X. Chen et al. https://doi.org/10.3390/land10121387
79. Enhancing SWAT model predictivity using multi-objective calibration: effects of integrating remotely sensed evapotranspiration and leaf area index N. Rane & G. Jayaraj https://doi.org/10.1007/s13762-022-04293-7
80. Assessing the vulnerability of water resources in the context of climate changes in a small forested watershed using SWAT: A review M. Marin et al. https://doi.org/10.1016/j.envres.2020.109330
81. Evaluating the performance of multiple satellite-based precipitation products in the Congo River Basin using the SWAT model V. Dos Santos et al. https://doi.org/10.1016/j.ejrh.2022.101168
82. Examining the commonalities and knowledge gaps in coastal zone vegetation simulation models C. Piercy et al. https://doi.org/10.1002/esp.5565
83. Integrating GLASS LAI into the SWAT Model for Improved Hydrological Simulation in Semi-Arid Regions X. Zhang et al. https://doi.org/10.3390/agronomy16060639
84. Improving the representation of forests in hydrological models H. Haas et al. https://doi.org/10.1016/j.scitotenv.2021.151425
85. Comparison of runoff generation methods for land use impact assessment using the SWAT model in humid tropics E. Mia Siska Yamamoto et al. https://doi.org/10.3178/hrl.14.81
86. Hydrologic impacts and trade-offs associated with developing oil palm for bioenergy in Tabasco, Mexico A. Heidari et al. https://doi.org/10.1016/j.ejrh.2020.100722
87. Spatially variable hydrologic impact and biomass production tradeoffs associated with Eucalyptus (E. grandis) cultivation for biofuel production in Entre Rios, Argentina A. Heidari et al. https://doi.org/10.1111/gcbb.12815
88. Impact of modified SWAT plant growth module on modeling green and blue water resources in subtropics T. Ma & T. Ma https://doi.org/10.52396/JUSTC-2023-0023
89. A general grass growth model for urban green spaces management in tropical regions: A case study with bahiagrass in southeastern Brazil E. Escobar-Silva et al. https://doi.org/10.1016/j.ufug.2022.127583
90. A comprehensive calibration and validation of SWAT-T using local datasets, evapotranspiration and streamflow in a tropical montane cloud forest area with permeable substrate in central Veracruz, Mexico S. López-Ramírez et al. https://doi.org/10.1016/j.jhydrol.2021.126781
91. Integrating remote sensing is beneficial for watershed model but the effects are spatially and temporally heterogeneous W. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134120