TY - JOUR
T1 - Regionalization of subsurface stormflow parameters of hydrologic models
T2 - Derivation from regional analysis of streamflow recession curves
AU - Ye, Sheng
AU - Li, Hong Yi
AU - Huang, Maoyi
AU - Ali, Melkamu
AU - Leng, Guoyong
AU - Leung, L. Ruby
AU - Wang, Shao wen
AU - Sivapalan, Murugesu
N1 - Funding Information:
This study was supported by the Office of Science of the U.S. Department of Energy as part of the IMPACTS project funded by the Earth System Modeling program to improve hydrologic parameterizations in land surface models for predicting changes in droughts in the future climate. PNNL is operated for DOE by Battelle Memorial Institute under Contract DE-AC05-76RLO1830 .
Publisher Copyright:
© 2014 Elsevier B.V.
PY - 2014/11/7
Y1 - 2014/11/7
N2 - Subsurface stormflow is an important component of the rainfall-runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage-discharge relationship relating to subsurface stormflow from a top-down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage-discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage-discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.
AB - Subsurface stormflow is an important component of the rainfall-runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage-discharge relationship relating to subsurface stormflow from a top-down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage-discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage-discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.
KW - Closure relations
KW - Recession-slope curve
KW - Statistical methods
KW - Storage-discharge relationship
KW - Subsurface flow
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U2 - 10.1016/j.jhydrol.2014.07.017
DO - 10.1016/j.jhydrol.2014.07.017
M3 - Article
AN - SCOPUS:84906769788
SN - 0022-1694
VL - 519
SP - 670
EP - 682
JO - Journal of Hydrology
JF - Journal of Hydrology
IS - PA
ER -