94 citations as recorded by crossref.

1. Modeling of discharge and sediment transport through the SWAT model in the basin of Harraza (Northwest of Algeria) F. Hallouz et al. https://doi.org/10.1016/j.wsj.2017.12.004
2. Modeling climate and land use change impacts on the hydrology of the Tiélé catchment, Benin, West Africa Q. Togbévi et al. https://doi.org/10.1007/s40808-026-02744-5
3. Multivariate Prediction of Total Water Storage Changes Over West Africa from Multi-Satellite Data E. Forootan et al. https://doi.org/10.1007/s10712-014-9292-0
4. Effect of LULC data resolution on hydrological and erosion modeling using SWAT model S. Ait M’Barek et al. https://doi.org/10.1007/s40808-022-01537-w
5. Understanding changes in terrestrial water storage over West Africa between 2002 and 2014 C. Ndehedehe et al. https://doi.org/10.1016/j.advwatres.2015.12.009
6. Temporal disaggregation of hourly precipitation under changing climate over the Southeast United States B. Takhellambam et al. https://doi.org/10.1038/s41597-022-01304-7
7. Seasonal scale modeling of river inflows in stratified reservoirs: Structural vs. parametric uncertainty in inflow mixing A. Ayala et al. https://doi.org/10.1016/j.envsoft.2014.06.011
8. Impacts of Rainfall Variability, Land Use and Land Cover Change on Stream Flow of the Black Volta Basin, West Africa K. Akpoti et al. https://doi.org/10.3390/hydrology3030026
9. Assessing Freshwater Changes over Southern and Central Africa (2002–2017) I. Kalu et al. https://doi.org/10.3390/rs13132543
10. Evaluating uncertainty in integrated environmental models: A review of concepts and tools L. Matott et al. https://doi.org/10.1029/2008WR007301
11. Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea C. Shope et al. https://doi.org/10.5194/hess-18-539-2014
12. The impact of climate and land-use changes on the hydrological processes of Owabi catchment from SWAT analysis M. Osei et al. https://doi.org/10.1016/j.ejrh.2019.100620
13. Simulating streamflow in an ungauged catchment of Tonlesap Lake Basin in Cambodia using Soil and Water Assessment Tool (SWAT) model R. Ang & C. Oeurng https://doi.org/10.1016/j.wsj.2017.12.002
14. Simulating Reservoir Induced Lhasa Streamflow Variability Using ArcSWAT M. Yasir et al. https://doi.org/10.3390/w12051370
15. Calibration and Validation of the SWAT Model on the Watershed of Bafing River, Main Upstream Tributary of Senegal River: Checking for the Influence of the Period of Study M. Sane et al. https://doi.org/10.4236/ojmh.2020.104006
16. Impact of climate and land use/land cover change on Lobo reservoir inflow, West-Central of Côte d'Ivoire B. Koffi et al. https://doi.org/10.1016/j.ejrh.2023.101417
17. Climate change impact assessment on the water resources of the Upper Yamuna River Basin in India R. Rathee & S. Mishra https://doi.org/10.1007/s10668-023-03398-4
18. Hydrosedimentological modeling with SWAT using multi-site calibration in nested basins with reservoirs P. Zanin et al. https://doi.org/10.1590/2318-0331.231820170153
19. Hydrological modeling of urban catchment using semi-distributed model A. Halefom et al. https://doi.org/10.1007/s40808-017-0327-7
20. 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
21. Streamflow and sediment yield estimation, and area prioritization for better conservation planning in the Dawe River watershed of the Wabi Shebelle River Basin, Ethiopia N. Roba et al. https://doi.org/10.1016/j.heliyon.2021.e08509
22. Streamflow data assimilation in SWAT model using Extended Kalman Filter L. Sun et al. https://doi.org/10.1016/j.jhydrol.2015.10.060
23. Accurate Simulation of Ice and Snow Runoff for the Mountainous Terrain of the Kunlun Mountains, China Y. Duan et al. https://doi.org/10.3390/rs12010179
24. Sediment load estimation using a novel regionalization sediment-response similarity method for ungauged catchments R. Ang et al. https://doi.org/10.1016/j.jhydrol.2023.129198
25. Modeling the impact of land use changes on river flows in Arror watershed, Elgeyo Marakwet County, Kenya C. Chebet et al. https://doi.org/10.2166/wpt.2017.028
26. What influences does grazing bring about to stream nutrient fluxes in alpine meadows? Z. Zhu et al. https://doi.org/10.1016/j.agwat.2023.108502
27. 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. https://doi.org/10.5194/hess-25-1943-2021
28. Water and sediment transport modeling of a large temporary river basin in Greece C. Gamvroudis et al. https://doi.org/10.1016/j.scitotenv.2014.12.005
29. Assessing the Hydropower Potential Using Hydrological Models and Geospatial Tools in the White Bandama Watershed (Côte d'Ivoire, West Africa) C. Kouadio et al. https://doi.org/10.3389/frwa.2022.844934
30. Evaluation of precipitation input for SWAT modeling in Alpine catchment: A case study in the Adige river basin (Italy) Y. Tuo et al. https://doi.org/10.1016/j.scitotenv.2016.08.034
31. Comparison of Projection in Meteorological and Hydrological Droughts in the Cheongmicheon Watershed for RCP4.5 and SSP2-4.5 J. Kim et al. https://doi.org/10.3390/su13042066
32. Hydrological modeling for the Piracicaba River basin to support water management and ecosystem services T. Lopes et al. https://doi.org/10.1016/j.jsames.2020.102752
33. Changes to flow regime on the Niger River at Koulikoro under a changing climate A. Angelina et al. https://doi.org/10.1080/02626667.2014.916407
34. Impact of climate change on streamflow in selected river basins in Ghana K. Kankam-Yeboah et al. https://doi.org/10.1080/02626667.2013.782101
35. A SWAT evaluation of the effect of climate change on the hydrology of the Volta River basin A. Sood et al. https://doi.org/10.1080/02508060.2013.792404
36. Flood generation and classification of a semi-arid intermittent flow watershed: Evrotas river O. Tzoraki et al. https://doi.org/10.1080/15715124.2013.768623
37. Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data-sparse catchment in southwestern Nigeria A. Odusanya et al. https://doi.org/10.5194/hess-23-1113-2019
38. Testing the Robustness of a Physically-Based Hydrological Model in Two Data Limited Inland Valley Catchments in Dano, Burkina Faso M. Idrissou et al. https://doi.org/10.3390/hydrology7030043
39. Assessment of climate change and its impact on hydrological regimes and biomass yield of a tropical river basin U. Mandal et al. https://doi.org/10.1016/j.ecolind.2021.107646
40. Regional scale hydrologic modeling for prediction of water balance, analysis of trends in streamflow and variations in streamflow: The case study of the Ganga River basin J. Anand et al. https://doi.org/10.1016/j.ejrh.2018.02.007
41. Twenty first century climatic and hydrological changes over Upper Indus Basin of Himalayan region of Pakistan S. Ali et al. https://doi.org/10.1088/1748-9326/10/1/014007
42. Global hydrological models: a review A. Sood & V. Smakhtin https://doi.org/10.1080/02626667.2014.950580
43. The challenges of modelling phosphorus in a headwater catchment: Applying a ‘limits of acceptability’ uncertainty framework to a water quality model M. Hollaway et al. https://doi.org/10.1016/j.jhydrol.2018.01.063
44. The effects of land use land cover change on hydrological flow in Giba catchment, Tigray, Ethiopia G. Aredehey et al. https://doi.org/10.1080/23311843.2020.1785780
45. Comparison of the performance of a hydrologic model and a deep learning technique for rainfall- runoff analysis C. Kim & C. Kim https://doi.org/10.1016/j.tcrr.2021.12.001
46. Analysis of SWAT+ model performance: A comparative study using different software and algorithms S. Cecconello et al. https://doi.org/10.1016/j.envsoft.2025.106425
47. Analysis of spatial and temporal trend of hydro-climatic parameters in the Kilombero River Catchment, Tanzania O. Sigalla et al. https://doi.org/10.1038/s41598-023-35105-8
48. Modeling water quantity and quality for a typical agricultural plain basin of northern China by a coupled model B. Xue et al. https://doi.org/10.1016/j.scitotenv.2021.148139
49. Evaluation of SWAT Model for Simulation of Runoff and Soil Moisture in Doiraj Basin of Ilam Province f. baloei et al. https://doi.org/10.52547/jwmr.12.23.180
50. SHP Assessment for a Run-of-River (RoR) Scheme Using a Rectangular Mesh Sweeping Approach (MSA) Based on GIS G. Alcalá et al. https://doi.org/10.3390/en14113095
51. A dynamic land use/land cover input helps in picturing the Sahelian paradox: Assessing variability and attribution of changes in surface runoff in a Sahelian watershed R. Yonaba et al. https://doi.org/10.1016/j.scitotenv.2020.143792
52. Changes in hydro-meteorological conditions over tropical West Africa (1980–2015) and links to global climate C. Ndehedehe et al. https://doi.org/10.1016/j.gloplacha.2018.01.020
53. Comparison of Process-Driven SWAT Model and Data-Driven Machine Learning Techniques in Simulating Streamflow: A Case Study in the Fenhe River Basin Z. Jiang et al. https://doi.org/10.3390/su16146074
54. Uncertainty of Artificial Neural Networks for Daily Evaporation Prediction (Case Study: Rasht and Manjil Stations) s. Biazar et al. https://doi.org/10.29252/jwmr.10.19.1
55. Climate and Land-Use Change Impacts on Flood Hazards in the Mono River Catchment of Benin and Togo N. Houngue et al. https://doi.org/10.3390/su15075862
56. Satellite Soil Moisture Validation Using Hydrological SWAT Model: A Case Study of Puerto Rico, USA A. Nilawar et al. https://doi.org/10.3390/hydrology4040045
57. Land use change scenarios and their effects on hydropower energy in the Amazon E. de Oliveira Serrão et al. https://doi.org/10.1016/j.scitotenv.2020.140981
58. Calibration and Validation of SWAT Model by Using Hydrological Remote Sensing Observables in the Lake Chad Basin A. Bennour et al. https://doi.org/10.3390/rs14061511
59. From Data Scarcity to Solutions: Hydrological and Water Management Modeling in a Highly Managed River Basin H. Koch et al. https://doi.org/10.3390/w17060823
60. Computationally Efficient Multivariate Calibration and Validation of a Grid-Based Hydrologic Model in Sparsely Gauged West African River Basins T. Poméon et al. https://doi.org/10.3390/w10101418
61. A Multi-Sourced Data Retrodiction of Remotely Sensed Terrestrial Water Storage Changes for West Africa V. Ferreira et al. https://doi.org/10.3390/w11020401
62. Comparison of single-site, multi-site and multi-variable SWAT calibration strategies A. Franco et al. https://doi.org/10.1080/02626667.2020.1810252
63. Role of Runoff–Infiltration Partitioning and Resolved Overland Flow on Land–Atmosphere Feedbacks: A Case Study with the WRF-Hydro Coupled Modeling System for West Africa J. Arnault et al. https://doi.org/10.1175/JHM-D-15-0089.1
64. 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
65. Modelling streamflow response to climate change in data-scarce White Volta River basin of West Africa using a semi-distributed hydrologic model S. Abubakari et al. https://doi.org/10.2166/wcc.2018.193
66. The water resources of tropical West Africa: problems, progress, and prospects C. Ndehedehe https://doi.org/10.1007/s11600-019-00260-y
67. Evaluation of Satellite and Gauge-Based Precipitation Products through Hydrologic Simulation in Tigris River Basin under Data-Scarce Environment A. Ajaaj et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001737
68. Some Challenges in Hydrologic Model Calibration for Large-Scale Studies: A Case Study of SWAT Model Application to Mississippi-Atchafalaya River Basin N. Kannan et al. https://doi.org/10.3390/hydrology6010017
69. Parameter and rating curve uncertainty propagation analysis of the SWAT model for two small Mediterranean catchments H. Sellami et al. https://doi.org/10.1080/02626667.2013.837222
70. Evaluation of daily gridded meteorological datasets for hydrological modeling in data-sparse basins of the largest lake in Southeast Asia R. Ang et al. https://doi.org/10.1016/j.ejrh.2022.101135
71. Multi-Site Validation of the SWAT Model on the Bani Catchment: Model Performance and Predictive Uncertainty J. Chaibou Begou et al. https://doi.org/10.3390/w8050178
72. Application of the SWAT Hydrological Model for the Catchment Area of the Koudiat Acerdoune Dam on the Isser River, Algeria L. Chebihi et al. https://doi.org/10.1590/0102-778640250001
73. 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
74. Hydropower generation, flood control and dam cascades: A national assessment for Vietnam V. Nguyen-Tien et al. https://doi.org/10.1016/j.jhydrol.2018.02.063
75. Using residual analysis, auto- and cross-correlations to identify key processes for the calibration of the SWAT model in a data scarce region K. Bieger et al. https://doi.org/10.5194/adgeo-31-23-2012
76. Investigations of uncertainty in SWAT hydrologic simulations: a case study of a Canadian Shield catchment C. Fu et al. https://doi.org/10.1002/hyp.10477
77. The Utilization of Satellite Imagery Data to Predict Hydrology Characteristics in Dodokan Watershed S. Yusuf et al. https://doi.org/10.1016/j.proenv.2016.03.054
78. Analysis of parameter uncertainty in semi-distributed hydrological models using bootstrap method: A case study of SWAT model applied to Yingluoxia watershed in northwest China Z. Li et al. https://doi.org/10.1016/j.jhydrol.2010.01.025
79. Hydraulic–hydrologic model for water resources management of the Zambezi basin T. Cohen Liechti et al. https://doi.org/10.1080/23249676.2014.958581
80. Is terrestrial water storage a useful indicator in assessing the impacts of climate variability on crop yield in semi-arid ecosystems? C. Ndehedehe et al. https://doi.org/10.1016/j.ecolind.2018.01.026
81. Modelling Hydrological Impact of Climate Change on Lake Hawassa Watershed, Southern Ethiopia W. Girma & B. Abate https://doi.org/10.11648/j.ijdsa.20251105.13
82. Impacts of land-use changes on watershed discharge and water quality in a large intensive agricultural area in Thailand S. Chotpantarat & S. Boonkaewwan https://doi.org/10.1080/02626667.2018.1506128
83. Just water reallocation for the environment and agriculture: a translation of Rawls theory of justice S. Imani et al. https://doi.org/10.1057/s41599-025-06377-4
84. Application of satellite-derived rainfall for hydrological modelling in the data-scarce Black Volta trans-boundary basin K. Adjei et al. https://doi.org/10.2166/nh.2014.111
85. Structural uncertainty assessment in a discharge simulation model X. Zhang et al. https://doi.org/10.1080/02626667.2011.587426
86. An Integrated Modeling Approach for Estimating the Water Quality Benefits of Conservation Practices at the River Basin Scale C. Santhi et al. https://doi.org/10.2134/jeq2011.0460
87. Surface runoff modeling in the Subarnarekha River basin using SWAT for sustainable water resource management S. Patra et al. https://doi.org/10.1016/j.asr.2026.04.017
88. A review of continental scale hydrological models and their suitability for drought forecasting in (sub-Saharan) Africa P. Trambauer et al. https://doi.org/10.1016/j.pce.2013.07.003
89. Flood inundation modeling and mapping by integrating surface and subsurface hydrology with river hydrodynamics S. Saksena et al. https://doi.org/10.1016/j.jhydrol.2019.06.024
90. Comparison of Long Short Term Memory Networks and the Hydrological Model in Runoff Simulation H. Fan et al. https://doi.org/10.3390/w12010175
91. Prediction of sedimentation in reservoirs by combining catchment based model and stream based model with limited data A. Tadesse & W. Dai https://doi.org/10.1016/j.ijsrc.2018.08.001
92. Quantifying Uncertainty in Runoff Simulation According to Multiple Evaluation Metrics and Varying Calibration Data Length G. Ziarh et al. https://doi.org/10.3390/w16040517
93. Multi-Objective Validation of SWAT for Sparsely-Gauged West African River Basins—A Remote Sensing Approach T. Poméon et al. https://doi.org/10.3390/w10040451
94. Contribution of Agro-Hydrological Modeling in the Evaluation of Water Availability of an Ungauged Basin Reservoir in Côte d’Ivoire: Case of the Loka Reservoir in Bouaké K. Anoh et al. https://doi.org/10.4236/cweee.2021.103009