Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4725-2018
https://doi.org/10.5194/hess-22-4725-2018
Research article
 | 
10 Sep 2018
Research article |  | 10 Sep 2018

Including effects of watershed heterogeneity in the curve number method using variable initial abstraction

Vijay P. Santikari and Lawrence C. Murdoch

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (05 Apr 2018) by Thomas Kjeldsen
AR by Vijay Santikari on behalf of the Authors (21 Apr 2018)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by editor and referees) (26 Apr 2018) by Thomas Kjeldsen
AR by Vijay Santikari on behalf of the Authors (21 May 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (31 May 2018) by Thomas Kjeldsen
RR by Anonymous Referee #2 (08 Jun 2018)
RR by Anonymous Referee #1 (20 Jun 2018)
ED: Publish subject to technical corrections (25 Jun 2018) by Thomas Kjeldsen
AR by Vijay Santikari on behalf of the Authors (02 Jul 2018)  Author's response   Manuscript 
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Short summary
The curve number (CN) method is the most widely used approach for estimating runoff from rainfall. Despite its popularity, there is a conceptual flaw where CN varies with rainfall although it is assumed to be constant. In this paper, we describe theoretical analyses that show how this behavior is due to watershed heterogeneity, and we then provide simple modifications to the method to improve its runoff predictions. The findings will benefit hydrologists and watershed models that use CN method.