Articles | Volume 22, issue 11
Cutting-edge case studies
28 Nov 2018
Cutting-edge case studies |  | 28 Nov 2018

Understanding the water cycle over the upper Tarim Basin: retrospecting the estimated discharge bias to atmospheric variables and model structure

Xudong Zhou, Jan Polcher, Tao Yang, Yukiko Hirabayashi, and Trung Nguyen-Quang


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 Jul 2018) by Zhongbo Yu
AR by Xudong Zhou on behalf of the Authors (18 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Jul 2018) by Zhongbo Yu
RR by Anonymous Referee #1 (08 Aug 2018)
RR by Anonymous Referee #2 (12 Sep 2018)
RR by Anonymous Referee #3 (14 Oct 2018)
ED: Publish as is (01 Nov 2018) by Zhongbo Yu
Short summary
Model bias is commonly seen in discharge simulation by hydrological or land surface models. This study tested an approach with the Budyko hypothesis to retrospect the estimated discharge bias to different bias sources including the atmospheric variables and model structure. Results indicate that the bias is most likely caused by the forcing variables, and the forcing bias should firstly be assessed and reduced in order to perform pertinent analysis of the regional water cycle.