Articles | Volume 385
https://doi.org/10.5194/piahs-385-399-2024
https://doi.org/10.5194/piahs-385-399-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model

Rafael Navas, Pablo Gamazo, and R. Willem Vervoort

Viewed

Total article views: 280 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
179 80 21 280 21 23
  • HTML: 179
  • PDF: 80
  • XML: 21
  • Total: 280
  • BibTeX: 21
  • EndNote: 23
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 265 (including HTML, PDF, and XML) Thereof 265 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Feb 2025
Download
Short summary
It’s difficult to estimate the daily discharge of a river when only one instantaneous level record is available per day. This work proposes to estimate synthetic daily rating curves from nearby gauged locations using a rainfall-runoff model and bayesian inference. The results can help provide a more comprehensive understanding of the hydrological functioning of systems where only one instantaneous stage level per day is available.
Share