Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 10
Articles | Volume 24, issue 10
https://doi.org/10.5194/hess-24-4971-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4971-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 10
Research article
 | 
23 Oct 2020
Research article |  | 23 Oct 2020

Hierarchical sensitivity analysis for a large-scale process-based hydrological model applied to an Amazonian watershed

Haifan Liu, Heng Dai, Jie Niu, Bill X. Hu, Dongwei Gui, Han Qiu, Ming Ye, Xingyuan Chen, Chuanhao Wu, Jin Zhang, and William Riley

Viewed

Total article views: 2,308 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,614 624 70 2,308 70 65
  • HTML: 1,614
  • PDF: 624
  • XML: 70
  • Total: 2,308
  • BibTeX: 70
  • EndNote: 65
Views and downloads (calculated since 10 Mar 2020)
Cumulative views and downloads (calculated since 10 Mar 2020)

Viewed (geographical distribution)

Total article views: 2,308 (including HTML, PDF, and XML) Thereof 2,066 with geography defined and 242 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Nov 2024
Download
Short summary
It is still challenging to apply the quantitative and comprehensive global sensitivity analysis method to complex large-scale process-based hydrological models because of variant uncertainty sources and high computational cost. This work developed a new tool and demonstrate its implementation to a pilot example for comprehensive global sensitivity analysis of large-scale hydrological modelling. This method is mathematically rigorous and can be applied to other large-scale hydrological models.
Read more