Articles | Volume 19, issue 1
Hydrol. Earth Syst. Sci., 19, 209–223, 2015
Hydrol. Earth Syst. Sci., 19, 209–223, 2015
Research article
 | Highlight paper
14 Jan 2015
Research article  | Highlight paper | 14 Jan 2015

Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance

A. J. Newman et al.

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Cited articles

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Anderson, E. A.: Calibration of conceptual hydrologic models for use in river forecasting. NOAA Technical Report, NWS 45, Hydrology Laboratory, Silver Spring, MD, 2002.
Anderson, R. M., Koren, V. I., and Reed, S. M.: Using SSURGO data to improve Sacramento Model a priori parameter estimates, J. Hydrol., 320, 103–116, 2006.
Andreassian, V., Oddos, A., Michel, C., Anctil, F., Perrin, C., and Loumange, C.: Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall-runoff models: A theoretical study using chimera watersheds, Water Resour. Res., 40, W05209,, 2004.
Short summary
The focus of this paper is to (1) present a community data set of daily forcing and hydrologic response data for 671 unimpaired basins across the contiguous United States that spans a very wide range of hydroclimatic conditions, and (2) provide a calibrated model performance benchmark using a common conceptual snow and hydrologic modeling system. This benchmark provides a reference level of model performance across a very large basin sample and highlights regional variations in performance.