Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-21-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-21-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jan 2024
Research article |
| 02 Jan 2024
| 02 Jan 2024
A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+
Salam A. Abbas
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80521, USA
Ryan T. Bailey
Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80521, USA
Jeremy T. White
INTERA, Inc., Perth, Australia
Jeffrey G. Arnold
Grassland Soil and Water Research Laboratory, USDA–ARS, Temple, TX 76502, USA
Michael J. White
Grassland Soil and Water Research Laboratory, USDA–ARS, Temple, TX 76502, USA
Natalja Čerkasova
Blackland Research & Extension Center, Texas A&M AgriLife, Temple, TX 76502, USA
Jungang Gao
Blackland Research & Extension Center, Texas A&M AgriLife, Temple, TX 76502, USA
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Cited
13 citations as recorded by crossref.
- Evaluating the continued significance of dam-induced vigorous downstream channel erosion in the context of projected climate change: a case study from Peninsular India J. Sanyal 10.1080/15715124.2024.2423697
- Modeling agro-hydrological surface-subsurface processes in a semi-arid, intensively irrigated river basin S. Abbas et al. 10.1016/j.ejrh.2025.102188
- Assessing improvements in environmental flow estimation through the use of a coupled surface-groundwater model G. Castellanos-Osorio et al. 10.1016/j.gsd.2025.101426
- Calibration guide for watershed modeling with distributed groundwater modeling: application for the SWAT+ model S. Abbas et al. 10.1080/02626667.2024.2393414
- Assessment of the Impact of Spatial Variability on Streamflow Predictions Using High-Resolution Modeling and Parameter Estimation: Case Study of Geumho River Catchment, South Korea B. Kim et al. 10.3390/w16040591
- Analysis of SWAT+ model performance: A comparative study using different software and algorithms S. Cecconello et al. 10.1016/j.envsoft.2025.106425
- Some Remarks About Forward and Inverse Modelling in Hydrology, Within a General Conceptual Framework M. Giudici 10.3390/hydrology11110189
- An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al. 10.3390/w16233446
- Evaluation of precipitation products for small karst catchment hydrological modeling in data-scarce mountainous regions I. Al Khoury et al. 10.1016/j.jhydrol.2024.132131
- Assessing selenium fate and transport in a semi-arid river basin with and without human influence R. Bailey et al. 10.1016/j.watres.2025.123335
- 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. 10.5194/hess-28-5511-2024
- Quantifying the impact of climate change and land use change on surface-subsurface nutrient dynamics in a Chesapeake Bay watershed system A. Tuladhar et al. 10.1016/j.jenvman.2025.125101
- Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers D. Zoccatelli et al. 10.1016/j.advwatres.2024.104658
12 citations as recorded by crossref.
- Evaluating the continued significance of dam-induced vigorous downstream channel erosion in the context of projected climate change: a case study from Peninsular India J. Sanyal 10.1080/15715124.2024.2423697
- Modeling agro-hydrological surface-subsurface processes in a semi-arid, intensively irrigated river basin S. Abbas et al. 10.1016/j.ejrh.2025.102188
- Assessing improvements in environmental flow estimation through the use of a coupled surface-groundwater model G. Castellanos-Osorio et al. 10.1016/j.gsd.2025.101426
- Calibration guide for watershed modeling with distributed groundwater modeling: application for the SWAT+ model S. Abbas et al. 10.1080/02626667.2024.2393414
- Assessment of the Impact of Spatial Variability on Streamflow Predictions Using High-Resolution Modeling and Parameter Estimation: Case Study of Geumho River Catchment, South Korea B. Kim et al. 10.3390/w16040591
- Analysis of SWAT+ model performance: A comparative study using different software and algorithms S. Cecconello et al. 10.1016/j.envsoft.2025.106425
- Some Remarks About Forward and Inverse Modelling in Hydrology, Within a General Conceptual Framework M. Giudici 10.3390/hydrology11110189
- An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al. 10.3390/w16233446
- Evaluation of precipitation products for small karst catchment hydrological modeling in data-scarce mountainous regions I. Al Khoury et al. 10.1016/j.jhydrol.2024.132131
- Assessing selenium fate and transport in a semi-arid river basin with and without human influence R. Bailey et al. 10.1016/j.watres.2025.123335
- 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. 10.5194/hess-28-5511-2024
- Quantifying the impact of climate change and land use change on surface-subsurface nutrient dynamics in a Chesapeake Bay watershed system A. Tuladhar et al. 10.1016/j.jenvman.2025.125101
Latest update: 30 Mar 2025
Short summary
Research highlights.
1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds with different unique hydrologic features across the United States.
2. Presented methods for sensitivity analysis, uncertainty analysis and parameter estimation for coupled models.
3. Sensitivity analysis for streamflow and groundwater head conducted using Morris method.
4. Uncertainty analysis and parameter estimation performed using an iterative ensemble smoother within the PEST framework.
Research highlights.
1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds...
