Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6567-2018
https://doi.org/10.5194/hess-22-6567-2018
Research article
 | 
20 Dec 2018
Research article |  | 20 Dec 2018

A new probability density function for spatial distribution of soil water storage capacity leads to the SCS curve number method

Dingbao Wang

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (14 May 2018) by Zhongbo Yu
AR by Dingbao Wang on behalf of the Authors (28 May 2018)
ED: Referee Nomination & Report Request started (05 Jun 2018) by Zhongbo Yu
RR by Anonymous Referee #2 (22 Jun 2018)
RR by Anonymous Referee #3 (27 Jul 2018)
ED: Publish subject to revisions (further review by editor and referees) (27 Jul 2018) by Zhongbo Yu
AR by Dingbao Wang on behalf of the Authors (29 Oct 2018)
ED: Referee Nomination & Report Request started (01 Nov 2018) by Zhongbo Yu
RR by Anonymous Referee #2 (22 Nov 2018)
RR by Anonymous Referee #3 (04 Dec 2018)
ED: Publish as is (09 Dec 2018) by Zhongbo Yu
AR by Dingbao Wang on behalf of the Authors (09 Dec 2018)  Manuscript 
Download
Short summary
A novel distribution function is proposed for describing the spatial distribution of soil water storage capacity, and then the classical and empirical hydrologic model (the SCS curve number method) is derived as when the initial soil water storage is zero. This distribution function unifies the SCS curve number method and probability-distributed models such as the VIC and Xinanjiang models. The unified model provides a better way for modeling surface runoff.