2016
DOI: 10.1002/2015wr018439
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Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response

Abstract: Since its introduction in 1954, the Soil Conservation Service curve number (SCS‐CN) method has become the standard tool, in practice, for estimating an event‐based rainfall‐runoff response. However, because of its empirical origins, the SCS‐CN method is restricted to certain geographic regions and land use types. Moreover, it does not describe the spatial variability of runoff. To move beyond these limitations, we present a new theoretical framework for spatially lumped, event‐based rainfall‐runoff modeling. I… Show more

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Cited by 79 publications
(98 citation statements)
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References 83 publications
(144 reference statements)
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“…A semidistributed model may be described by a joint distribution of the soil moisture deficit, c , and water storage capacity, w , which describe the potential retention S = cw [see Bartlett et al ., ]. In an event‐based representation, c and S are considered antecedent values immediately prior to the start of the storm, while the point values of rainfall, R , and runoff, Q , represent cumulative depths for the storm duration [see Bartlett et al ., , Figure ].…”
Section: Extended Event‐based Modelsmentioning
confidence: 99%
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“…A semidistributed model may be described by a joint distribution of the soil moisture deficit, c , and water storage capacity, w , which describe the potential retention S = cw [see Bartlett et al ., ]. In an event‐based representation, c and S are considered antecedent values immediately prior to the start of the storm, while the point values of rainfall, R , and runoff, Q , represent cumulative depths for the storm duration [see Bartlett et al ., , Figure ].…”
Section: Extended Event‐based Modelsmentioning
confidence: 99%
“…A semidistributed model may be described by a joint distribution of the soil moisture deficit, c , and water storage capacity, w , which describe the potential retention S = cw [see Bartlett et al ., ]. In an event‐based representation, c and S are considered antecedent values immediately prior to the start of the storm, while the point values of rainfall, R , and runoff, Q , represent cumulative depths for the storm duration [see Bartlett et al ., , Figure ]. The spatial variability of these values may be described by the probabilistic storage (ProStor) framework of the joint PDF pQRcw(Q,R,c,w)=pQ|Rcw(Q|R,c,w)pR(R)pcw(c,w), where pQ|Rcw(Q|R,c,w) is the runoff PDF conditional on R , c , and w ; pR(R) is the PDF of rainfall; and pcw(c,w) is the joint PDF of the antecedent soil moisture deficit and storage capacity.…”
Section: Extended Event‐based Modelsmentioning
confidence: 99%
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