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.
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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- Towards seamless large‐domain parameter estimation for hydrologic models N. Mizukami et al. 10.1002/2017WR020401
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Latest update: 26 Dec 2024
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...