Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 20
Articles | Volume 26, issue 20
https://doi.org/10.5194/hess-26-5341-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5341-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 20
Research article
 | 
27 Oct 2022
Research article |  | 27 Oct 2022

Pitfalls and a feasible solution for using KGE as an informal likelihood function in MCMC methods: DREAM(ZS) as an example

Yan Liu, Jaime Fernández-Ortega, Matías Mudarra, and Andreas Hartmann

Viewed

Total article views: 2,465 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,820 595 50 2,465 194 39 33
  • HTML: 1,820
  • PDF: 595
  • XML: 50
  • Total: 2,465
  • Supplement: 194
  • BibTeX: 39
  • EndNote: 33
Views and downloads (calculated since 02 Nov 2021)
Cumulative views and downloads (calculated since 02 Nov 2021)

Viewed (geographical distribution)

Total article views: 2,465 (including HTML, PDF, and XML) Thereof 2,287 with geography defined and 178 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
We adapt the informal Kling–Gupta efficiency (KGE) with a gamma distribution to apply it as an informal likelihood function in the DiffeRential Evolution Adaptive Metropolis DREAM(ZS) method. Our adapted approach performs as well as the formal likelihood function for exploring posterior distributions of model parameters. The adapted KGE is superior to the formal likelihood function for calibrations combining multiple observations with different lengths, frequencies and units.
Read more