Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-2861-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-2861-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jul 2016
Research article |
| 15 Jul 2016
Parameter regionalization of a monthly water balance model for the conterminous United States
Andrew R. Bock
CORRESPONDING AUTHOR
US Geological Survey, Colorado Water Science Center, Denver Federal
Center, P.O. Box 25046, MS 415, Denver, Colorado, 80225, USA
Lauren E. Hay
US Geological Survey, National Research Program, Denver Federal
Center, P.O. Box 25046, MS 413, Denver, Colorado, 80225, USA
Gregory J. McCabe
US Geological Survey, National Research Program, Denver Federal
Center, P.O. Box 25046, MS 413, Denver, Colorado, 80225, USA
Steven L. Markstrom
US Geological Survey, National Research Program, Denver Federal
Center, P.O. Box 25046, MS 413, Denver, Colorado, 80225, USA
R. Dwight Atkinson
US Environmental Protection Agency, Office of Water (4503-T), 1200
Pennsylvania Ave., Washington, DC, 20004, USA
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- Spatiotemporal Variability of Modeled Watershed Scale Surface‐Depression Storage and Runoff for the Conterminous United States J. Driscoll et al. 10.1111/1752-1688.12826
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- Enhancing streamflow simulation accuracy in ungauged catchments via parameter calibration with triple collocation-based merged evapotranspiration and streamflow features Z. Xu et al. 10.1016/j.jhydrol.2024.131627
- Towards seamless large‐domain parameter estimation for hydrologic models N. Mizukami et al. 10.1002/2017WR020401
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- Regionalising rainfall-runoff modelling for predicting daily runoff: Comparing gridded spatial proximity and gridded integrated similarity approaches against their lumped counterparts H. Li & Y. Zhang 10.1016/j.jhydrol.2017.05.015
- Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model G. Sexstone et al. 10.1002/hyp.13735
- Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps) K. Förster et al. 10.5194/hess-22-1157-2018
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- Benchmarking of a Physically Based Hydrologic Model A. Newman et al. 10.1175/JHM-D-16-0284.1
- MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data H. Beck et al. 10.5194/hess-21-589-2017
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- In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
- Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States E. Towler et al. 10.5194/hess-27-1809-2023
- Global evaluation of runoff from 10 state-of-the-art hydrological models H. Beck et al. 10.5194/hess-21-2881-2017
- A Database of Natural Monthly Streamflow Estimates from 1950 to 2015 for the Conterminous United States M. Miller et al. 10.1111/1752-1688.12685
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- Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees V. Roland et al. 10.1016/j.envsoft.2023.105667
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- Application of the RSPARROW Modeling Tool to Estimate Total Nitrogen Sources to Streams and Evaluate Source Reduction Management Scenarios in the Grande River Basin, Brazil M. Miller et al. 10.3390/w12102911
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Latest update: 02 Apr 2025
Short summary
A parameter sensitivity analysis was applied to a monthly water balance model across the United States and used to identify regions of similar model response. Streamgages within each region were calibrated as a group to produce model parameters that can simulate streamflow in areas where measured streamflow data are limited or unavailable. Results showed good correspondence with measured values, except in areas where dominant hydrologic processes occurred at submonthly timescales.
A parameter sensitivity analysis was applied to a monthly water balance model across the United...
