Articles | Volume 20, issue 7
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, Lauren E. Hay, Gregory J. McCabe, Steven L. Markstrom, and R. Dwight Atkinson

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Cited articles

Adam, J. C. and Lettenmaier, D. P.: Bias correction of global gridded precipitation for solid precipitation undercatch, J. Geophys. Res., 108, 1–14,, 2003.
Ali, G., Tetzlaff, D., Soulsby, C., McDonnell, J. J., and Capell, R.: A comparison of similarity indices for catchment classification using a cross-regional data set, Adv. Water Resour., 40, 11–22,, 2012.
Archfield, S. A., Clark, M., Arheimer, B., Hay, L. E., Farmer, W. H, McMillan, H., Seibert, J., Kiang, J. E., Wagener, T., Bock, A., Hakala, K., Andressian, V., Attinger, S., Viglione, A., Knight, R. R., and Over, T.: Accelerating advances in continental domain hydrologic modeling, Water Resour. Res., 51, 10078–10091,, 2015.
Blasone, R. S., Madsen, H., and Rosbjerg, D.: Parameter estimation in distributed hydrological modelling: comparison of global and local optimisation techniques, Nord. Hydrol., 34, 451–476,, 2007.
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.