Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5947-2018
© Author(s) 2018. 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-22-5947-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Nov 2018
Research article |
| 22 Nov 2018
| 22 Nov 2018
The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed
Linh Hoang
CORRESPONDING AUTHOR
Hunter College, City University of New York, 695 Park Avenue, New York, NY 10065, USA
New York City Department of Environmental Protection, 71 Smith Avenue, Kingston, NY 12401, USA
currently at: National Institute of Water and Atmospheric Research, Hamilton, New Zealand
Rajith Mukundan
New York City Department of Environmental Protection, 71 Smith Avenue, Kingston, NY 12401, USA
Karen E. B. Moore
New York City Department of Environmental Protection, 71 Smith Avenue, Kingston, NY 12401, USA
Emmet M. Owens
New York City Department of Environmental Protection, 71 Smith Avenue, Kingston, NY 12401, USA
Tammo S. Steenhuis
Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA
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Cited
16 citations as recorded by crossref.
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- Analysis of effects of vegetation cover and elevation on water yield in an alpine basin of the Qilian Mountains in Northwest China by integrating the WRF-Hydro and Budyko framework S. Guo et al. 10.1016/j.jhydrol.2023.130580
- The Effect of Spatial Input Data Quality on the Performance of the SWAT Model A. Kmoch et al. 10.3390/w14131988
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- An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions J. Zhou et al. 10.1016/j.ejrh.2023.101447
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- Application of Generalized Likelihood Uncertainty Estimation (GLUE) at different temporal scales to reduce the uncertainty level in modelled river flows R. Ragab et al. 10.1080/02626667.2020.1764961
- The interactive effects of elevation, precipitation and lithology on karst rainfall and runoff erosivity Y. Jiang et al. 10.1016/j.catena.2021.105588
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- Spatial and temporal variability of climate change impacts on ecosystem services in small agricultural catchments using the Soil and Water Assessment Tool (SWAT) B. Uniyal et al. 10.1016/j.scitotenv.2023.162520
16 citations as recorded by crossref.
- Connecting hillslope and runoff generation processes in the Ethiopian Highlands: The Ene-Chilala watershed M. Addisie et al. 10.2478/johh-2020-0015
- Effects of spatial resolution of terrain models on modelled discharge and soil loss in Oaxaca, Mexico S. Naranjo et al. 10.5194/hess-25-5561-2021
- Analysis of effects of vegetation cover and elevation on water yield in an alpine basin of the Qilian Mountains in Northwest China by integrating the WRF-Hydro and Budyko framework S. Guo et al. 10.1016/j.jhydrol.2023.130580
- The Effect of Spatial Input Data Quality on the Performance of the SWAT Model A. Kmoch et al. 10.3390/w14131988
- Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework A. Elnashar et al. 10.1016/j.scitotenv.2021.148466
- Using AHP and Spatial Analysis to Determine Water Surface Storage Suitability in Cambodia M. Ward et al. 10.3390/w13030367
- Multimodel quantification of green and blue water components and its error propagations through parameter transferability approach across input choices A. Dey & R. Remesan 10.1016/j.jhydrol.2022.127579
- Long-Term Water Quality Modeling of a Shallow Eutrophic Lagoon with Limited Forcing Data M. Almeida et al. 10.1007/s10666-022-09844-3
- Future runoff assessment under climate change and land-cover alteration scenarios: a case study of the Zayandeh-Roud dam upstream watershed A. Ahmadi et al. 10.2166/nh.2022.056
- Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation W. Wang et al. 10.1007/s12145-023-01038-z
- An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions J. Zhou et al. 10.1016/j.ejrh.2023.101447
- Assessing and Mapping the Environmental Impacts of Best Management Practices in Nitrate-Vulnerable Areas M. Curk & M. Glavan 10.3390/w15132364
- Application of Generalized Likelihood Uncertainty Estimation (GLUE) at different temporal scales to reduce the uncertainty level in modelled river flows R. Ragab et al. 10.1080/02626667.2020.1764961
- The interactive effects of elevation, precipitation and lithology on karst rainfall and runoff erosivity Y. Jiang et al. 10.1016/j.catena.2021.105588
- Watershed scale modeling of Dissolved organic carbon export from variable source areas R. Mukundan et al. 10.1016/j.jhydrol.2023.130052
- Spatial and temporal variability of climate change impacts on ecosystem services in small agricultural catchments using the Soil and Water Assessment Tool (SWAT) B. Uniyal et al. 10.1016/j.scitotenv.2023.162520
Latest update: 22 Apr 2024
Short summary
The paper analyzes the effect of two input data (DEMs and the combination of soil and land use data) with different resolution and complexity on the uncertainty of model outputs (the predictions of streamflow and saturated areas) and parameter uncertainty using SWAT-HS. Results showed that DEM resolution has significant effect on the spatial pattern of saturated areas and using complex soil and land use data may not necessarily improve model performance or reduce model uncertainty.
The paper analyzes the effect of two input data (DEMs and the combination of soil and land use...
