Articles | Volume 27, issue 9
https://doi.org/10.5194/hess-27-1809-2023
© Author(s) 2023. 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-27-1809-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Sydney S. Foks
Water Resources Mission Area, US Geological Survey (USGS), Lakewood, CO, USA
Aubrey L. Dugger
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Jesse E. Dickinson
Arizona Water Science Center, US Geological Survey, Tucson, AZ, USA
Hedeff I. Essaid
Water Resources Mission Area, US Geological Survey, Moffett Field, CA, USA
David Gochis
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Roland J. Viger
Water Resources Mission Area, US Geological Survey (USGS), Lakewood, CO, USA
Yongxin Zhang
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
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Cited
11 citations as recorded by crossref.
- Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al. 10.1029/2023JD038534
- Evaluating Hydrologic Model Performance for Characterizing Streamflow Drought in the Conterminous United States C. Simeone et al. 10.3390/w16202996
- Pywr-DRB: An open-source Python model for water availability and drought risk assessment in the Delaware River Basin A. Hamilton et al. 10.1016/j.envsoft.2024.106185
- Impact of deep learning-driven precipitation corrected data using near real-time satellite-based observations and model forecast in an integrated hydrological model K. Patakchi Yousefi et al. 10.3389/frwa.2024.1439906
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes P. Bosompemaa et al. 10.1016/j.envsoft.2024.106234
- BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology J. Senent-Aparicio et al. 10.1038/s41597-024-03594-5
- Isotopic evaluation of the National Water Model reveals missing agricultural irrigation contributions to streamflow across the western United States A. Putman et al. 10.5194/hess-28-2895-2024
- A tolerant hydrologic technique for real-time selection of optimum QPFs from NWPMs for flood warning applications M. Salah et al. 10.2166/wst.2024.046
- On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration S. Wi & S. Steinschneider 10.5194/hess-28-479-2024
- Quantifying patterns of streamflow peaks over the southeastern United States using a long‐term retrospective data set K. Raczyński & J. Dyer 10.1002/hyp.14960
10 citations as recorded by crossref.
- Comprehensive Analysis of the NOAA National Water Model: A Call for Heterogeneous Formulations and Diagnostic Model Selection J. Johnson et al. 10.1029/2023JD038534
- Evaluating Hydrologic Model Performance for Characterizing Streamflow Drought in the Conterminous United States C. Simeone et al. 10.3390/w16202996
- Pywr-DRB: An open-source Python model for water availability and drought risk assessment in the Delaware River Basin A. Hamilton et al. 10.1016/j.envsoft.2024.106185
- Impact of deep learning-driven precipitation corrected data using near real-time satellite-based observations and model forecast in an integrated hydrological model K. Patakchi Yousefi et al. 10.3389/frwa.2024.1439906
- On the importance of discharge observation uncertainty when interpreting hydrological model performance J. Aerts et al. 10.5194/hess-28-5011-2024
- Using national hydrologic models to obtain regional climate change impacts on streamflow basins with unrepresented processes P. Bosompemaa et al. 10.1016/j.envsoft.2024.106234
- BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology J. Senent-Aparicio et al. 10.1038/s41597-024-03594-5
- Isotopic evaluation of the National Water Model reveals missing agricultural irrigation contributions to streamflow across the western United States A. Putman et al. 10.5194/hess-28-2895-2024
- A tolerant hydrologic technique for real-time selection of optimum QPFs from NWPMs for flood warning applications M. Salah et al. 10.2166/wst.2024.046
- On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration S. Wi & S. Steinschneider 10.5194/hess-28-479-2024
Latest update: 24 Dec 2024
Short summary
Hydrologic models developed to assess water availability need to be systematically evaluated. This study evaluates the long-term performance of two high-resolution hydrologic models that simulate streamflow across the contiguous United States. Both models show similar performance overall and regionally, with better performance in minimally disturbed basins than in those impacted by human activity. At about 80 % of the sites, both models outperform the seasonal climatological benchmark.
Hydrologic models developed to assess water availability need to be systematically evaluated....