Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2253-2020
© Author(s) 2020. 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-24-2253-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 May 2020
Research article |
| 08 May 2020
| 08 May 2020
Identifying uncertainties in hydrologic fluxes and seasonality from hydrologic model components for climate change impact assessments
Civil and Environmental Engineering, University of Massachusetts,
Amherst, MA, USA
Edward Beighley
Civil and Environmental Engineering, Northeastern University, MA,
USA
Marine and Environmental Sciences, Northeastern University, MA, USA
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Cited
19 citations as recorded by crossref.
- Climate change impact on extreme precipitation and peak flood magnitude and frequency: observations from CMIP6 and hydrological models H. Meresa et al. 10.1007/s11069-021-05152-3
- Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate F. Tootoonchi et al. 10.1016/j.jhydrol.2023.129807
- Soft Data in Hydrologic Modeling: Prediction of Ecologically Relevant Flows with Alternate Land Use/Land Cover Data H. Haas et al. 10.3390/w13212947
- Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios B. Zhao et al. 10.1016/j.ejrh.2021.100968
- The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
- Performance assessment of six bias correction methods using observed and RCM data at upper Awash basin, Oromia, Ethiopia B. Tumsa 10.2166/wcc.2021.181
- Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai H. Xu et al. 10.5194/nhess-22-2347-2022
- Importance of Parameter and Climate Data Uncertainty for Future Changes in Boreal Hydrology A. Marshall et al. 10.1029/2021WR029911
- Leveraging River Network Topology and Regionalization to Expand SWOT-Derived River Discharge Time Series in the Mississippi River Basin C. Nickles & E. Beighley 10.3390/rs13081590
- Multi-Model Assessment of Streamflow Simulations under Climate and Anthropogenic Changes Exemplified in Two Indian River Basins A. Somisetty et al. 10.3390/w14020194
- Quantifying the contribution of SWAT modeling and CMIP6 inputting to streamflow prediction uncertainty under climate change C. Chen et al. 10.1016/j.jclepro.2022.132675
- Relative impacts of climate change and land cover change on streamflow using SWAT in the Clackamas River Watershed, USA J. Chen & H. Chang 10.2166/wcc.2020.123
- Adapting cities to the surge: A comprehensive review of climate-induced urban flooding G. Dharmarathne et al. 10.1016/j.rineng.2024.102123
- Recent changes to Arctic river discharge D. Feng et al. 10.1038/s41467-021-27228-1
- Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
- Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
- Uncertainty in high‐resolution hydrological projections: Partitioning the influence of climate models and natural climate variability J. Moraga et al. 10.1002/hyp.14695
- Future climate impacts on the hydrology of headwater streams in the Amazon River Basin: Implications for migratory goliath catfishes D. Feng et al. 10.1002/hyp.13952
- Application of a Fractional Instantaneous Unit Hydrograph in the TOPMODEL: A Case Study in Chengcun Basin, China X. Xiang et al. 10.3390/app13042245
19 citations as recorded by crossref.
- Climate change impact on extreme precipitation and peak flood magnitude and frequency: observations from CMIP6 and hydrological models H. Meresa et al. 10.1007/s11069-021-05152-3
- Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate F. Tootoonchi et al. 10.1016/j.jhydrol.2023.129807
- Soft Data in Hydrologic Modeling: Prediction of Ecologically Relevant Flows with Alternate Land Use/Land Cover Data H. Haas et al. 10.3390/w13212947
- Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios B. Zhao et al. 10.1016/j.ejrh.2021.100968
- The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration C. Nickles et al. 10.3390/rs12193241
- Performance assessment of six bias correction methods using observed and RCM data at upper Awash basin, Oromia, Ethiopia B. Tumsa 10.2166/wcc.2021.181
- Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai H. Xu et al. 10.5194/nhess-22-2347-2022
- Importance of Parameter and Climate Data Uncertainty for Future Changes in Boreal Hydrology A. Marshall et al. 10.1029/2021WR029911
- Leveraging River Network Topology and Regionalization to Expand SWOT-Derived River Discharge Time Series in the Mississippi River Basin C. Nickles & E. Beighley 10.3390/rs13081590
- Multi-Model Assessment of Streamflow Simulations under Climate and Anthropogenic Changes Exemplified in Two Indian River Basins A. Somisetty et al. 10.3390/w14020194
- Quantifying the contribution of SWAT modeling and CMIP6 inputting to streamflow prediction uncertainty under climate change C. Chen et al. 10.1016/j.jclepro.2022.132675
- Relative impacts of climate change and land cover change on streamflow using SWAT in the Clackamas River Watershed, USA J. Chen & H. Chang 10.2166/wcc.2020.123
- Adapting cities to the surge: A comprehensive review of climate-induced urban flooding G. Dharmarathne et al. 10.1016/j.rineng.2024.102123
- Recent changes to Arctic river discharge D. Feng et al. 10.1038/s41467-021-27228-1
- Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
- Advancing traditional strategies for testing hydrological model fitness in a changing climate A. Todorović et al. 10.1080/02626667.2022.2104646
- Uncertainty in high‐resolution hydrological projections: Partitioning the influence of climate models and natural climate variability J. Moraga et al. 10.1002/hyp.14695
- Future climate impacts on the hydrology of headwater streams in the Amazon River Basin: Implications for migratory goliath catfishes D. Feng et al. 10.1002/hyp.13952
- Application of a Fractional Instantaneous Unit Hydrograph in the TOPMODEL: A Case Study in Chengcun Basin, China X. Xiang et al. 10.3390/app13042245
Latest update: 22 Apr 2024
Short summary
Assessment of climate change impacts on hydrologic systems is critical for making adaptation strategies but subject to uncertainties from various sources. This study developed a framework to investigate such uncertainties from both hydrologic model components and climate forcings as well as associated parameterization. Results of this study reveal variable uncertainty compositions for different hydrological quantities and imply limited impact of hydrologic model parameter equifinality.
Assessment of climate change impacts on hydrologic systems is critical for making adaptation...
