Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 11
Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-6087-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-6087-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 4,570 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,271 1,203 96 4,570 122 150
  • HTML: 3,271
  • PDF: 1,203
  • XML: 96
  • Total: 4,570
  • BibTeX: 122
  • EndNote: 150
Views and downloads (calculated since 28 Mar 2018)
Cumulative views and downloads (calculated since 28 Mar 2018)

Viewed (geographical distribution)

Total article views: 4,570 (including HTML, PDF, and XML) Thereof 4,220 with geography defined and 350 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Oct 2025
Download
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.
Read more
Share