Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-6087-2018
https://doi.org/10.5194/hess-22-6087-2018
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

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Latest update: 12 Jun 2024
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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.